
Retain class distribution for seed 8:
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 8:
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
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.4341	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4062	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.4314	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3866	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3374	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2621	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2630	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2409	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2441	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2773	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2156	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1920	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1310	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.0349	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 1.9975	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0899	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0303	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.1225	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9166	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.0021	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9486	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.8701	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8471	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.8454	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 2.0012	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8781	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9741	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.7969	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8475	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9532	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9261	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.7581	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.9034	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.9199	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8983	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8038	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.9581	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8163	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.6474	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.8228	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7782	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7966	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7752	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8435	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7852	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7512	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7293	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.6805	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6723	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.6244	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.8160	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7716	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7893	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6237	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7317	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6395	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7463	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7311	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6637	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6073	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.5556	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7261	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.9545	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7523	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6870	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6750	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6121	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6176	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.7991	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6677	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6806	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7557	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.8850	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.6656	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.7799	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.7437	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6219	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.5744	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.4974	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.8325	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.5321	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5373	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.5985	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7052	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6175	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.5954	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.6516	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6976	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5364	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6469	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5813	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.8247	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6955	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.6125	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.6493	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.5666	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.7241	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.6560	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6223	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.6399	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.5069	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6695	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.5609	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.6228	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.7065	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.6177	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.7276	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.7231	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.5212	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.7998	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.6503	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.5750	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.5726	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5618	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.6450	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5146	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5293	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.4835	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.4157	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5492	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4739	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.4379	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.5028	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.5835	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.3552	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.6023	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.4603	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.6442	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.4929	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.3532	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.5975	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4023	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5139	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.6259	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.5226	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.5249	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.6195	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4879	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5652	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.8017	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.4270	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.7014	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.8290	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.5657	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.5212	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.8371	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.6223	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.5597	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.7713	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.7695	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.6073	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.7345	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.5260	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.5134	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.6991	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.5110	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.6943	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4531	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.4565	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.5350	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.6091	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4000	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.6110	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.5935	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4463	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.5696	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3365	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4131	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4721	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.6574	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4582	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.5020	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4814	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.5061	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.4388	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.4860	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.6630	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.4798	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4810	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.4391	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.4446	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3773	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.4786	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3934	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4223	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.4330	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.6328	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.3684	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.5130	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.3355	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.2349	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6940, Train Accuracy: 0.3811
Epoch 1 training time consumed: 30.43s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0073, Accuracy: 0.4518, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.3933	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.4738	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.3888	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.4559	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.6557	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.3547	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.4198	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.5156	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.3855	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.3690	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.4007	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.4606	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.3172	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.2574	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.4302	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.5384	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.3844	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.3018	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3321	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.2959	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3853	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.3958	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.3492	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.3240	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.2777	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.3490	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2515	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.2932	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.4077	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.2815	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.1871	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3119	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.3435	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.3797	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.2394	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.3835	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.3059	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.3661	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.2813	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.3430	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.3253	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2758	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.3170	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2487	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.1262	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.4671	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.4021	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.4219	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.4477	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.4566	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.4062	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.3482	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2725	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2518	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.2180	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2111	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2471	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.3736	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.2864	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.1939	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.3294	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.2932	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.3290	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.3719	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.1319	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.4702	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.1450	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.3645	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2792	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2513	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.3001	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.3243	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2006	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.3028	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.2496	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.3434	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.5225	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.2677	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.0863	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.4771	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.3459	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.2811	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.2955	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 1.2691	LR: 0.100000
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Training Epoch: 2 [47616/48750]	Loss: 1.1933	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 1.0185	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 0.9433	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2022, Train Accuracy: 0.5700
Epoch 2 training time consumed: 29.72s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0046, Accuracy: 0.5811, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.9936	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.8063	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.7988	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 1.0047	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9413, Train Accuracy: 0.6675
Epoch 3 training time consumed: 29.80s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0036, Accuracy: 0.6920, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.7898	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.8161	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7927, Train Accuracy: 0.7228
Epoch 4 training time consumed: 30.32s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0035, Accuracy: 0.7055, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7977	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.4872	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6950, Train Accuracy: 0.7579
Epoch 5 training time consumed: 30.19s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0029, Accuracy: 0.7493, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.7739	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.8270	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6351, Train Accuracy: 0.7807
Epoch 6 training time consumed: 29.99s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0026, Accuracy: 0.7780, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.6257	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.4752	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.5836	LR: 0.100000
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Training Epoch: 7 [48750/48750]	Loss: 0.6030	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5855, Train Accuracy: 0.7957
Epoch 7 training time consumed: 29.89s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0024, Accuracy: 0.7931, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.6016	LR: 0.020000
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Training Epoch: 8 [28160/48750]	Loss: 0.4093	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.4382	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.3707	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4430	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.4291	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.4710	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4326	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.3640	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.2888	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4426	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.3958	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.2655	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.3745	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4269	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.3245	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4179	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.5421	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4399, Train Accuracy: 0.8478
Epoch 8 training time consumed: 30.14s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8581, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.3908	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4726	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.5422	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3945	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4614	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.3792	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3915	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4486	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4687	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.4374	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4015	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.3287	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.4206	LR: 0.020000
Training Epoch: 9 [3584/48750]	Loss: 0.3801	LR: 0.020000
Training Epoch: 9 [3840/48750]	Loss: 0.3800	LR: 0.020000
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Training Epoch: 9 [11008/48750]	Loss: 0.3368	LR: 0.020000
Training Epoch: 9 [11264/48750]	Loss: 0.3727	LR: 0.020000
Training Epoch: 9 [11520/48750]	Loss: 0.3050	LR: 0.020000
Training Epoch: 9 [11776/48750]	Loss: 0.3244	LR: 0.020000
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Training Epoch: 9 [32512/48750]	Loss: 0.3641	LR: 0.020000
Training Epoch: 9 [32768/48750]	Loss: 0.3584	LR: 0.020000
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Training Epoch: 9 [40192/48750]	Loss: 0.3986	LR: 0.020000
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Training Epoch: 9 [44800/48750]	Loss: 0.4499	LR: 0.020000
Training Epoch: 9 [45056/48750]	Loss: 0.3788	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.3381	LR: 0.020000
Training Epoch: 9 [45568/48750]	Loss: 0.3532	LR: 0.020000
Training Epoch: 9 [45824/48750]	Loss: 0.3179	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.3969	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.4532	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3552	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.3038	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3663	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.3524	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4182	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4596	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.3908	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3660	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.4618	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3821	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3900, Train Accuracy: 0.8652
Epoch 9 training time consumed: 30.00s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8653, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3277	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3099	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.3452	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3022	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3900	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3223	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3331	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3017	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.2827	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4282	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.3480	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.4377	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.3316	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.3835	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.4270	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.3369	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.3039	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.3300	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.4188	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.3283	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.3466	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.3396	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.4141	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.3311	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.3856	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.3117	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.3427	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.2717	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.3504	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.3605	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.3826	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.3848	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.3940	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.4060	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.4057	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.4474	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.3328	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.4969	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.4464	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.2830	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.3786	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.4427	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.4452	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.3242	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.3174	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.3618	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.3675	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.4657	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.4324	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3544	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.3362	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.4511	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.4046	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.3439	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.3644	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.2972	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.4361	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.3230	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.3316	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.4338	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.2913	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.3778	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.3445	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.3764	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.3617	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.3876	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.3821	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.3448	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.3368	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.4265	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.4120	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.3145	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.3144	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.3748	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.4406	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.4058	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.3786	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.2914	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.3195	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.3106	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.3670	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.4013	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.4613	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.3499	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.4240	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.3387	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.4056	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.3902	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.4732	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.3634	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.3528	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.3509	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.4014	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.4658	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.3836	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.3848	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.3702	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.3535	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.4238	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.3316	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.3399	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.3359	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.3585	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.4395	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.4177	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.4000	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.3486	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.3617	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.5306	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.3886	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.3125	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.3418	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.3644	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.3695	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.2991	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.4958	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.2918	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.2917	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.3824	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.3350	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.3209	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.3997	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.3190	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.3599	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.4434	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.4335	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.3831	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.4384	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.3642	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.4093	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.3823	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.4115	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.3513	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.3852	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.4438	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.3850	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.3323	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.4239	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.3369	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.3954	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.4201	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.3470	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.3622	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.3491	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.3883	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.3324	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.2988	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.3498	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.4723	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.3448	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.3569	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.3608	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.3704	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.3259	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.3468	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.3559	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.3938	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.3769	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.3762	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.3978	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.3873	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.4149	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.4105	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.2655	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.3562	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.4054	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.4114	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.3653	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.4364	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.3396	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.3382	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.3463	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.4126	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.3795	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.2778	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.3405	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.3618	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.5052	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.4122	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.3032	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.4467	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.3640	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.3258	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.3937	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.3014	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.3233	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.4505	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4193	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.3726	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.5297	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3724, Train Accuracy: 0.8685
Epoch 10 training time consumed: 30.07s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8636, Time consumed:0.98s
Training Epoch: 11 [256/48750]	Loss: 0.3999	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3898	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.4044	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.2886	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.2940	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.4258	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3158	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.4148	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.4503	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.3601	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.4490	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.3127	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.3671	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.3689	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3891	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.3607	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.4459	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.2687	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.4451	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.3360	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.3204	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.3792	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.3715	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.4287	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.3644	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.3642	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.4787	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.3621	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.3360	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.2959	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.2994	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.4429	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3159	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.3867	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.4390	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.3471	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.3825	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.3532	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.2778	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.3119	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.3544	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.2668	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.3765	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3641	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.4354	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.4097	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.3503	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.3070	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.3147	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.3187	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.3767	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.3396	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.3059	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.3404	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.3056	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.4123	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.4506	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.3819	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.2964	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.4333	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.2761	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.3672	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.3085	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.3729	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3131	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.3113	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.3904	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.2762	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.3705	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.3324	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.3767	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.2841	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.4281	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.3390	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.3213	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.3352	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.3187	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.3083	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.4595	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.2981	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.3907	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.3466	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.3893	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.3466	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.2998	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3529	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.3323	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.3570	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.3782	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.2736	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.2900	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.2797	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.3850	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.3194	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.3957	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.3672	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.4305	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.3716	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.3106	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.3416	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.3826	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.4020	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.4052	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.3415	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3587	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.2916	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.2981	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.3346	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.3490	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.3255	LR: 0.020000
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Training Epoch: 11 [29440/48750]	Loss: 0.3231	LR: 0.020000
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Training Epoch: 11 [29952/48750]	Loss: 0.3291	LR: 0.020000
Training Epoch: 11 [30208/48750]	Loss: 0.3788	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.2853	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.3273	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.4047	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.2854	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.3895	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.2893	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.4160	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.4541	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.4401	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3501	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.4731	LR: 0.020000
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Training Epoch: 11 [43008/48750]	Loss: 0.3586	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.3235	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.3177	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3818	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3523	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3139	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.2818	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3077	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.4137	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.4123	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3675	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3589	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.2720	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3337	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.2963	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3085	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3562	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3492	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3669	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.4265	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4669	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3468	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3559, Train Accuracy: 0.8766
Epoch 11 training time consumed: 30.02s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8739, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3872	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.2342	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.2894	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3724	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3230	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.4063	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.2968	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.2732	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.2400	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3170	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.2934	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3381	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.2982	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3048	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.2173	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3634	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.3623	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3089	LR: 0.004000
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Training Epoch: 12 [5120/48750]	Loss: 0.4073	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.2676	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.2729	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.3604	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.3693	LR: 0.004000
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Training Epoch: 12 [11264/48750]	Loss: 0.3357	LR: 0.004000
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Training Epoch: 12 [12288/48750]	Loss: 0.3710	LR: 0.004000
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Training Epoch: 12 [15616/48750]	Loss: 0.2812	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.3705	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.2294	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.3125	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.3145	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.3024	LR: 0.004000
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Training Epoch: 12 [27392/48750]	Loss: 0.3076	LR: 0.004000
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Training Epoch: 12 [27904/48750]	Loss: 0.3609	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.2864	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3293	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.3375	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.3799	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.3295	LR: 0.004000
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Training Epoch: 12 [29696/48750]	Loss: 0.2986	LR: 0.004000
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Training Epoch: 12 [30464/48750]	Loss: 0.2631	LR: 0.004000
Training Epoch: 12 [30720/48750]	Loss: 0.2917	LR: 0.004000
Training Epoch: 12 [30976/48750]	Loss: 0.3160	LR: 0.004000
Training Epoch: 12 [31232/48750]	Loss: 0.3043	LR: 0.004000
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Training Epoch: 12 [32256/48750]	Loss: 0.3215	LR: 0.004000
Training Epoch: 12 [32512/48750]	Loss: 0.2659	LR: 0.004000
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Training Epoch: 12 [33024/48750]	Loss: 0.3023	LR: 0.004000
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Training Epoch: 12 [34048/48750]	Loss: 0.2691	LR: 0.004000
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Training Epoch: 12 [34560/48750]	Loss: 0.2819	LR: 0.004000
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Training Epoch: 12 [35328/48750]	Loss: 0.2884	LR: 0.004000
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Training Epoch: 12 [35840/48750]	Loss: 0.2524	LR: 0.004000
Training Epoch: 12 [36096/48750]	Loss: 0.3300	LR: 0.004000
Training Epoch: 12 [36352/48750]	Loss: 0.2653	LR: 0.004000
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Training Epoch: 12 [36864/48750]	Loss: 0.2615	LR: 0.004000
Training Epoch: 12 [37120/48750]	Loss: 0.3195	LR: 0.004000
Training Epoch: 12 [37376/48750]	Loss: 0.3324	LR: 0.004000
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Training Epoch: 12 [37888/48750]	Loss: 0.2456	LR: 0.004000
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Training Epoch: 12 [38400/48750]	Loss: 0.2749	LR: 0.004000
Training Epoch: 12 [38656/48750]	Loss: 0.3677	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.2891	LR: 0.004000
Training Epoch: 12 [40448/48750]	Loss: 0.2715	LR: 0.004000
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Training Epoch: 12 [43776/48750]	Loss: 0.2887	LR: 0.004000
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Training Epoch: 12 [44288/48750]	Loss: 0.3999	LR: 0.004000
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Training Epoch: 12 [44800/48750]	Loss: 0.2627	LR: 0.004000
Training Epoch: 12 [45056/48750]	Loss: 0.3263	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3501	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.2689	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.3037	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3473	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3684	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.2827	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.2742	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.2671	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3544	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3031	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3860	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3094	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3016	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2579	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2616	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3075, Train Accuracy: 0.8927
Epoch 12 training time consumed: 30.10s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8858, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3224	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.2901	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3241	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.2380	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2296	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3160	LR: 0.004000
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Training Epoch: 13 [47872/48750]	Loss: 0.2821	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.3013	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.2788	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.2449	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.1810	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2931, Train Accuracy: 0.8974
Epoch 13 training time consumed: 30.02s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8886, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2586	LR: 0.004000
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Training Epoch: 14 [1536/48750]	Loss: 0.2655	LR: 0.004000
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Training Epoch: 14 [2048/48750]	Loss: 0.2797	LR: 0.004000
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Training Epoch: 14 [25600/48750]	Loss: 0.3303	LR: 0.004000
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Training Epoch: 14 [30976/48750]	Loss: 0.2441	LR: 0.004000
Training Epoch: 14 [31232/48750]	Loss: 0.2089	LR: 0.004000
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Training Epoch: 14 [32256/48750]	Loss: 0.3039	LR: 0.004000
Training Epoch: 14 [32512/48750]	Loss: 0.2607	LR: 0.004000
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Training Epoch: 14 [43776/48750]	Loss: 0.2018	LR: 0.004000
Training Epoch: 14 [44032/48750]	Loss: 0.2716	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.3070	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.2646	LR: 0.004000
Training Epoch: 14 [44800/48750]	Loss: 0.3136	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.2611	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2626	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.3282	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2420	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2881	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3284	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3222	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3516	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3388	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3815	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2216	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3372	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2078	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2629	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2360	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3524	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2851, Train Accuracy: 0.9001
Epoch 14 training time consumed: 30.00s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8922, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.2741	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2548	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.3059	LR: 0.004000
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Training Epoch: 15 [1792/48750]	Loss: 0.3429	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.2306	LR: 0.004000
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Training Epoch: 15 [2816/48750]	Loss: 0.3335	LR: 0.004000
Training Epoch: 15 [3072/48750]	Loss: 0.3515	LR: 0.004000
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Training Epoch: 15 [25856/48750]	Loss: 0.2262	LR: 0.004000
Training Epoch: 15 [26112/48750]	Loss: 0.2859	LR: 0.004000
Training Epoch: 15 [26368/48750]	Loss: 0.2887	LR: 0.004000
Training Epoch: 15 [26624/48750]	Loss: 0.3025	LR: 0.004000
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Training Epoch: 15 [28160/48750]	Loss: 0.2484	LR: 0.004000
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Training Epoch: 15 [28672/48750]	Loss: 0.2396	LR: 0.004000
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Training Epoch: 15 [30208/48750]	Loss: 0.3081	LR: 0.004000
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Training Epoch: 15 [33280/48750]	Loss: 0.2687	LR: 0.004000
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Training Epoch: 15 [45312/48750]	Loss: 0.2619	LR: 0.004000
Training Epoch: 15 [45568/48750]	Loss: 0.2918	LR: 0.004000
Training Epoch: 15 [45824/48750]	Loss: 0.2507	LR: 0.004000
Training Epoch: 15 [46080/48750]	Loss: 0.3208	LR: 0.004000
Training Epoch: 15 [46336/48750]	Loss: 0.2781	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.3843	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.3278	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2902	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2894	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.3768	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.2519	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3706	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2601	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3058	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.2998	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2790, Train Accuracy: 0.9032
Epoch 15 training time consumed: 30.06s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8907, Time consumed:0.96s
Training Epoch: 16 [256/48750]	Loss: 0.3488	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2089	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2605	LR: 0.000800
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Training Epoch: 16 [45312/48750]	Loss: 0.3222	LR: 0.000800
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Training Epoch: 16 [46336/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2058	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2193	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2087	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.1936	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2147	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2502	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.3122	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2622	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2548	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2662, Train Accuracy: 0.9069
Epoch 16 training time consumed: 30.07s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8932, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2328	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.1865	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2195	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.2007	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2095	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2074	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2767	LR: 0.000800
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Training Epoch: 17 [5376/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2502	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2885	LR: 0.000800
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Training Epoch: 17 [6656/48750]	Loss: 0.2309	LR: 0.000800
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Training Epoch: 17 [7936/48750]	Loss: 0.2241	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.2889	LR: 0.000800
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Training Epoch: 17 [9984/48750]	Loss: 0.2134	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.2935	LR: 0.000800
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Training Epoch: 17 [11520/48750]	Loss: 0.2044	LR: 0.000800
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Training Epoch: 17 [12288/48750]	Loss: 0.2661	LR: 0.000800
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Training Epoch: 17 [24576/48750]	Loss: 0.2159	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.2566	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.1822	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2623	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.2285	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.2101	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2574	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.3910	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.3899	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.2369	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2575	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.2296	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.1869	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.2146	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.3025	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.2034	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.3341	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.3607	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.3233	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.3272	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2430	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.3180	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.3100	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.3559	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.2106	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.3815	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.3311	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.1795	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2757	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2129	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.3358	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2326	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2647, Train Accuracy: 0.9080
Epoch 17 training time consumed: 29.95s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8932, Time consumed:1.01s
Training Epoch: 18 [256/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.3181	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2821	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2357	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.2390	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2294	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.2256	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2297	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2991	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.2523	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2210	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.3393	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.1690	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2112	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.2410	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.2318	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2170	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.3291	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.2193	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2106	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.2522	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.3235	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.2095	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.3762	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2265	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.2314	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.3281	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.2210	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.2787	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.2426	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.2335	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.2371	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.2129	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.3641	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.2128	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.2232	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.3093	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.2458	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2509	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.2129	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.2214	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.1847	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.2629	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2619	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.1819	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.3434	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.3012	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2040	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.3548	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2881	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.3059	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2338	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.3396	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2641	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2152	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2285	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.3288	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2197	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.3133	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2077	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.3403	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.2285	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.2069	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2170	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2412	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.3230	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.2257	LR: 0.000800
Training Epoch: 18 [39168/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.2118	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.2206	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2130	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.2027	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.2044	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.2869	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.2658	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.2821	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2157	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2556	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2145	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.2296	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.2412	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2094	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2054	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2203	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.1984	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.1876	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2218	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2146	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2463	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2605, Train Accuracy: 0.9091
Epoch 18 training time consumed: 30.24s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8936, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_22h_57m_01s/ResNet18-Cifar10-seed8-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2040	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2069	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.3047	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.3525	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2092	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2241	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.3700	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.3788	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2285	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2309	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2174	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.1454	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.1945	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2716	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2249	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.1741	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2275	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.1786	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2357	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.3365	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2272	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.3012	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.3119	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2303	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.3106	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.3130	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.3473	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2188	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.1739	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2060	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3058	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2346	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.3173	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2089	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2221	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2143	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2070	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2425	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.1562	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.1849	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2242	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.3085	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2008	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2504	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2002	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.1874	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2477	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2911	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2504	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2236	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3473	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2085	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2058	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3194	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2317	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2154	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2065	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2045	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2406	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2366	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2370	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3553	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.1799	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3089	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.3152	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2184	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2099	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2592	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2833	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2434	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2635	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.1848	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.3310	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2129	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.3282	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2025	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.3272	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2077	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2249	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2635	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2156	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2153	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.2550	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2598, Train Accuracy: 0.9094
Epoch 19 training time consumed: 30.20s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8931, Time consumed:1.06s
Training Epoch: 20 [256/48750]	Loss: 0.2574	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.1709	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.1728	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2389	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2195	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2184	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2285	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.3406	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.1780	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.3296	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2539	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2941	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2209	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2345	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2598	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2430	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2708	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2175	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.3841	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2173	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.1963	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.3420	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.3086	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2487	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2109	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2036	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2205	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2130	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2658	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.3800	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2272	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2867	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2221	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.3708	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.1890	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2598	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2597	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2397	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.3030	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2080	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2215	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2178	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2016	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2759	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2249	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2518	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2300	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.1932	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2668	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2072	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.2230	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.3035	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2148	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.3060	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2194	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.3061	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.3062	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.2271	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.1900	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2517	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.1989	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.2065	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.2131	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.3689	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.2575	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.1932	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.1908	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.2099	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.3441	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.3262	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2217	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.3487	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.2206	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.1891	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2821	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.2321	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2423	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.1994	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2880	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.3326	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.3229	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2356	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2170	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2135	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2977	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2575, Train Accuracy: 0.9098
Epoch 20 training time consumed: 30.02s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8930, Time consumed:0.99s
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
MIA Attack Accuracy with XGBoost: 0.7100
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
MIA Attack Accuracy with XGBoost: 0.5360
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6512
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 94.0875244140625
Zero-Retain Forget (ZRF): 0.8243501782417297
Membership Inference Attack (MIA): 0.6952
Forget vs Retain Membership Inference Attack (MIA): 0.71
Forget vs Test Membership Inference Attack (MIA): 0.536
Test vs Retain Membership Inference Attack (MIA): 0.65125
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 93.68777465820312
Method Execution Time: 2523.96 seconds
