hello
hello

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

📊 Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.4384	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4035	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3771	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3870	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3074	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3104	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2383	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2498	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2546	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2613	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2310	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1435	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.2284	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.2273	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0725	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0359	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0503	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0496	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.0238	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9104	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 2.0162	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.9891	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 2.0489	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.8921	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.8551	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8084	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9350	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.8987	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9547	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8945	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8294	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.9861	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8641	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.9684	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8776	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.7243	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.7600	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8503	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.7205	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7186	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.8797	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7348	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.6613	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8410	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7263	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7557	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7210	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7557	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.8664	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7163	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7438	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.9068	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.8305	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.8702	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7503	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7019	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 2.0078	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7576	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6705	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7812	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.9367	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7570	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7931	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.9340	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.8697	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.8176	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.8096	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.9225	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6443	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.7870	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6485	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7180	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.7527	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.8183	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.7417	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6707	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.7428	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.5454	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.5779	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.5853	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6544	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5142	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.5452	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.6992	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6186	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.6307	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.6693	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6191	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.6727	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6771	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5361	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6468	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.5383	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.6324	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.6966	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.5157	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.4833	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.8851	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6603	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.6819	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.6422	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.7208	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.6513	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.6208	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5805	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.8316	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.6184	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.6422	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.6596	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.7705	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.7659	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.6303	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.6737	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5768	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4925	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.6020	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5038	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.7116	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.5346	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5609	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.5331	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.6590	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.5102	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.6748	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.5995	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.5301	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.4286	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.5618	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5265	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.5278	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.4433	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4337	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5006	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.6391	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.3000	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.5412	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4185	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.6260	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.4147	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.6271	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.4070	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.3768	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.4724	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.5004	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.5878	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.4967	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4761	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.4223	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.6379	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4027	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.5765	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.3901	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.4893	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.6382	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4044	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.4222	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.3918	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4813	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.5013	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4389	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.6145	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.3901	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4578	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.5164	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4181	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.4107	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3503	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4628	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4685	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.5073	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4718	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.4043	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3026	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.4489	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.5247	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.5048	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.4369	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.4274	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4160	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.4161	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3072	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3306	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3955	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.4220	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.3563	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3176	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.2520	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.5661	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.3923	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.4157	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.2639	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6866, Train Accuracy: 0.3822
Epoch 1 training time consumed: 30.00s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0097, Accuracy: 0.4022, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.2998	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.3371	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.1566	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.4277	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4956	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.4446	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.4534	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.3079	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.3910	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.5030	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.1632	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3554	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.3434	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.2288	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.3390	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3543	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.4224	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.3382	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3387	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3524	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.4794	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.1447	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.3396	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.2867	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.2691	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.3391	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.3300	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.2816	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2799	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.2844	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.3944	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.2189	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.1784	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.1734	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.3512	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.1870	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.1815	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.3379	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.3233	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.4863	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2736	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.3245	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.2344	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2819	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.1515	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.3476	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2256	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.2704	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.3482	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2541	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.3304	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.4192	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2467	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2746	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.3380	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.3163	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2352	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.2831	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.1620	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.4409	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.2549	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.1810	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2781	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2416	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.3929	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.3162	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.0521	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.1531	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2272	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1553	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.3085	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.2770	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2331	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.2708	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.3194	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1836	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.1571	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1867	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.1855	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.2618	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.3435	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1484	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.9902	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 0.9154	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1873, Train Accuracy: 0.5752
Epoch 2 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0050, Accuracy: 0.5808, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.9906	LR: 0.100000
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Training Epoch: 3 [47872/48750]	Loss: 0.9643	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.8023	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.7985	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.7459	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9353, Train Accuracy: 0.6704
Epoch 3 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0038, Accuracy: 0.6848, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9022	LR: 0.100000
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Training Epoch: 4 [47104/48750]	Loss: 0.7458	LR: 0.100000
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Training Epoch: 4 [47616/48750]	Loss: 0.8067	LR: 0.100000
Training Epoch: 4 [47872/48750]	Loss: 0.7422	LR: 0.100000
Training Epoch: 4 [48128/48750]	Loss: 0.6233	LR: 0.100000
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Training Epoch: 4 [48640/48750]	Loss: 0.7909	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 0.7530	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7881, Train Accuracy: 0.7241
Epoch 4 training time consumed: 29.25s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0043, Accuracy: 0.6614, Time consumed:0.88s
Training Epoch: 5 [256/48750]	Loss: 0.8073	LR: 0.100000
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Training Epoch: 5 [25344/48750]	Loss: 0.7896	LR: 0.100000
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Training Epoch: 5 [43776/48750]	Loss: 0.6969	LR: 0.100000
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Training Epoch: 5 [44288/48750]	Loss: 0.6701	LR: 0.100000
Training Epoch: 5 [44544/48750]	Loss: 0.7687	LR: 0.100000
Training Epoch: 5 [44800/48750]	Loss: 0.6620	LR: 0.100000
Training Epoch: 5 [45056/48750]	Loss: 0.7228	LR: 0.100000
Training Epoch: 5 [45312/48750]	Loss: 0.7046	LR: 0.100000
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Training Epoch: 5 [45824/48750]	Loss: 0.5908	LR: 0.100000
Training Epoch: 5 [46080/48750]	Loss: 0.7038	LR: 0.100000
Training Epoch: 5 [46336/48750]	Loss: 0.6486	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.6439	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.6328	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.6865	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.7029	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.7097	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.6221	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.7367	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.7415	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.6295	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.6808	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6993, Train Accuracy: 0.7542
Epoch 5 training time consumed: 29.40s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0041, Accuracy: 0.6777, Time consumed:0.92s
Training Epoch: 6 [256/48750]	Loss: 0.6572	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.6021	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.7535	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.6249	LR: 0.100000
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Training Epoch: 6 [1536/48750]	Loss: 0.7180	LR: 0.100000
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Training Epoch: 6 [2048/48750]	Loss: 0.6437	LR: 0.100000
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Training Epoch: 6 [2560/48750]	Loss: 0.6871	LR: 0.100000
Training Epoch: 6 [2816/48750]	Loss: 0.6483	LR: 0.100000
Training Epoch: 6 [3072/48750]	Loss: 0.5584	LR: 0.100000
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Training Epoch: 6 [4096/48750]	Loss: 0.6370	LR: 0.100000
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Training Epoch: 6 [46848/48750]	Loss: 0.6601	LR: 0.100000
Training Epoch: 6 [47104/48750]	Loss: 0.5232	LR: 0.100000
Training Epoch: 6 [47360/48750]	Loss: 0.7176	LR: 0.100000
Training Epoch: 6 [47616/48750]	Loss: 0.5602	LR: 0.100000
Training Epoch: 6 [47872/48750]	Loss: 0.4798	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.5974	LR: 0.100000
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Training Epoch: 6 [48640/48750]	Loss: 0.5594	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.6674	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6359, Train Accuracy: 0.7778
Epoch 6 training time consumed: 29.08s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0030, Accuracy: 0.7593, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.5748	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.6469	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.6656	LR: 0.100000
Training Epoch: 7 [1024/48750]	Loss: 0.5532	LR: 0.100000
Training Epoch: 7 [1280/48750]	Loss: 0.7056	LR: 0.100000
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Training Epoch: 7 [2048/48750]	Loss: 0.7116	LR: 0.100000
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Training Epoch: 7 [2816/48750]	Loss: 0.6189	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.5578	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.7862	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.6202	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.5671	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.5123	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.6738	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.5188	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.6261	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.6183	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.5534	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.6865	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.6162	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.5112	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.6237	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.5230	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.5648	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.6327	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.5180	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.4553	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.6031	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.6362	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.6564	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.5532	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.5667	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.6050	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.6082	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.6117	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.5958	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.5709	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.6870	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.6551	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.5797	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.5678	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.5282	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.5760	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.6199	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.5621	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.6136	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.6668	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.6767	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.5570	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.5960	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.5878	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.5573	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.5604	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.5535	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.4666	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.5389	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.4968	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.5383	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.6026	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.5510	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.5676	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.4967	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.4835	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.5643	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.6767	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.6009	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.5657	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.6098	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.6511	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.6324	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.7180	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.6082	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.5351	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.5414	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.5467	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.5955	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.4770	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.6897	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.5224	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.5298	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.6070	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.4652	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.6738	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.6144	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5762	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.5660	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.5488	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.6659	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.4721	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.6555	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.5310	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.5573	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.5775	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.6939	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.5517	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.5793	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.5732	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.4994	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.6305	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.6335	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.5125	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.6040	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.6040	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.5751	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.5892	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.5881	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.5068	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.4320	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.5595	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.5531	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.6259	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.4909	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.6217	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.5687	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.5774	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.6111	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.6529	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.5078	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.5812	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.6068	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.5970	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.6363	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.6319	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.5909	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.5544	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.6616	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.6088	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.5938	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.6633	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.6751	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.6355	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.6149	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.5228	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.5444	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.5808	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.4863	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.6158	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.6951	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.5689	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.5917	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.6217	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.6317	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.5162	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.6479	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.6535	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.6193	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.5709	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.5414	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.5847	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.6070	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.6599	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.5416	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.5161	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.5290	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.6273	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.5841	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.5151	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.5871	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.5877	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.5918	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.5708	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.6847	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.5681	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.6830	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.6430	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.5186	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.6876	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.6861	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.5445	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.5490	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.5482	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.6088	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.6062	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.6479	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.5426	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.5740	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.5075	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.5604	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.5248	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.5513	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.5605	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.5473	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.6177	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.6921	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.6402	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.5455	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.4613	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.6920	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5886, Train Accuracy: 0.7937
Epoch 7 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0029, Accuracy: 0.7593, Time consumed:0.92s
Training Epoch: 8 [256/48750]	Loss: 0.6212	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.6613	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.4304	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.5644	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.4911	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.4947	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.5837	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.5026	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.4697	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.5256	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.4850	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.5868	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.5171	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.5374	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.4359	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.4420	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.5078	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.4687	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.4582	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.4764	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.5836	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.4671	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.4427	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.3867	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.4190	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.4103	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.4346	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.4734	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.4563	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.4008	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.5146	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.5180	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.5446	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.4648	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.4986	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.4483	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.4294	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.4463	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.4124	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.4022	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.4479	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.4885	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.3725	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.4522	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.4769	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.5195	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.4580	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.4734	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.4475	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.4360	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.4807	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.5353	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.5205	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.4198	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.4536	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4253	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.4206	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4687	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.4287	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.4037	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.3115	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.3886	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.4353	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.4875	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.3830	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4683	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.4883	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.3813	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.4953	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.4746	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.3791	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.4525	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.4442	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.4031	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.4077	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.4626	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.4324	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.4995	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.4375	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.4492	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.3911	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.3834	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.3792	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.3647	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.5599	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.4526	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.4633	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.3523	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.4198	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.4937	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.4953	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.4533	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4556	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.3930	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.4359	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.3511	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.5158	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.3955	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.3524	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.3612	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.3746	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.4722	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.4251	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.5219	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.4453	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.3795	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.5272	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.3811	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.4244	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.4760	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.3820	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.3094	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.4229	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.4532	LR: 0.020000
Training Epoch: 8 [29440/48750]	Loss: 0.4356	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.3993	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4411	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4474	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.3826	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.4696	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.3871	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.3763	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4315	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3631	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.3650	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4444	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4451	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4699	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4279	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.3031	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.5475	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4383, Train Accuracy: 0.8480
Epoch 8 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8537, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.3628	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.3461	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.3715	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3968	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4514	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.4375	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3959	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.3422	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4215	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3757	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.3582	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.3350	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.3733	LR: 0.020000
Training Epoch: 9 [3584/48750]	Loss: 0.4945	LR: 0.020000
Training Epoch: 9 [3840/48750]	Loss: 0.4222	LR: 0.020000
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Training Epoch: 9 [4608/48750]	Loss: 0.4019	LR: 0.020000
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Training Epoch: 9 [5120/48750]	Loss: 0.4215	LR: 0.020000
Training Epoch: 9 [5376/48750]	Loss: 0.4492	LR: 0.020000
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Training Epoch: 9 [5888/48750]	Loss: 0.3043	LR: 0.020000
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Training Epoch: 9 [33024/48750]	Loss: 0.4071	LR: 0.020000
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Training Epoch: 9 [36352/48750]	Loss: 0.3831	LR: 0.020000
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Training Epoch: 9 [36864/48750]	Loss: 0.3019	LR: 0.020000
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Training Epoch: 9 [37632/48750]	Loss: 0.2931	LR: 0.020000
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Training Epoch: 9 [38400/48750]	Loss: 0.4082	LR: 0.020000
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Training Epoch: 9 [40192/48750]	Loss: 0.3237	LR: 0.020000
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Training Epoch: 9 [42496/48750]	Loss: 0.3817	LR: 0.020000
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Training Epoch: 9 [43264/48750]	Loss: 0.3516	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.3943	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.3710	LR: 0.020000
Training Epoch: 9 [45568/48750]	Loss: 0.3605	LR: 0.020000
Training Epoch: 9 [45824/48750]	Loss: 0.3041	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.3960	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.3965	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.4400	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.3712	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4510	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.3004	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4392	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.3822	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.3516	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3657	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3978	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3073	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3900, Train Accuracy: 0.8629
Epoch 9 training time consumed: 29.37s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0015, Accuracy: 0.8708, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3624	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.4146	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4296	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.2950	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3490	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3799	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3525	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3288	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3461	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4047	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.4585	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3802	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.3122	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.3383	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.3503	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.3687	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.3545	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.3614	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.4477	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.4551	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.3968	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.3453	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.3522	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.4128	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.3461	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.4288	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.3931	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.4609	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.3781	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.4876	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.3587	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.4565	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.3551	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.5176	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.3434	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.3303	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.3615	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.3513	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.3983	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.3723	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.3731	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.4003	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.3786	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.2756	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.4186	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.3843	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.2591	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.3611	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.4360	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3642	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.4387	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.3737	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.3322	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.2891	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.3291	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.3457	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.3719	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.3853	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.3395	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.4201	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.4104	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.3452	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.3765	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.3441	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.4295	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.3147	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.3973	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.3964	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.3293	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.3495	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.4432	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.3712	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.3009	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.3920	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.3833	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.4330	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.3942	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.3116	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.3667	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.4230	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.3854	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.3723	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.4187	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.4104	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.4676	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.3869	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.3213	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.4372	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.3561	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.3996	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.3749	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.4066	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.4013	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.2994	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.4289	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.5013	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.3331	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.3245	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.3661	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.4608	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.4172	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.3814	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.2983	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.3261	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.3233	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.3287	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.3097	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.3849	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.3490	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.4305	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.3875	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.3107	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.2647	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.3552	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.3346	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.4260	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.3308	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.3114	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.4863	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.4027	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.3476	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.4445	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.3382	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.4859	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.2875	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.3658	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.4286	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.3553	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.3894	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.3379	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.3456	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.4230	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.4334	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.3497	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.3750	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.3771	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.3011	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.3913	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.3787	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.4094	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.3017	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.3548	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.3382	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.3890	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.3293	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.3265	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.3662	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.2959	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.4455	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.3193	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.3474	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.3521	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.3846	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.4389	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.3593	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.3242	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.4192	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.4162	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.3845	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.3336	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.4127	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.4099	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.3122	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.3962	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.3123	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.3042	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.2838	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.3901	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.3961	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.3912	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.3618	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.3595	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.3913	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.3616	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.3332	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.3834	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.4094	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.3810	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.3421	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.4139	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.4759	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.3351	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.2779	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.4564	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.3528	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.3044	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.3680	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.3083	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.3255	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.4750	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3731, Train Accuracy: 0.8702
Epoch 10 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8633, Time consumed:0.93s
Training Epoch: 11 [256/48750]	Loss: 0.3488	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3282	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3360	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.2814	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.3808	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.3597	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3561	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.4416	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.3953	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.3681	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.3628	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.3909	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.3637	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.3313	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3108	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.2558	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.3595	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.4187	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3341	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.3391	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.3454	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.3466	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.3571	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.4293	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.3713	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.3154	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.3349	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.3843	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.4333	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.3131	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3760	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.4077	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3033	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.3457	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.3240	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.3576	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.3144	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.4633	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.3901	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.3447	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.3488	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.3448	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.3463	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3443	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.3332	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.2881	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.3141	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.3210	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.2977	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.3615	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.4318	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.2788	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.3988	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.4524	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.2922	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.3673	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.3743	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.3723	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.3631	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.3668	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.4056	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.3889	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.3999	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.2730	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3264	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.3072	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.2746	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.3688	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.3261	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.5433	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.2553	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.4069	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.2554	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.3718	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.3549	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.4370	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.3457	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.4770	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.4659	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.3373	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.3264	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.3309	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.3090	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.4311	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.3335	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3741	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.3972	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.3698	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.3424	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.3642	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.2428	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.3560	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.3597	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.4057	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.3065	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.3326	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3020	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.3610	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.4208	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.3744	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.2723	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.4108	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.3510	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.3253	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3157	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.3741	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3933	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.2680	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.3628	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.3600	LR: 0.020000
Training Epoch: 11 [28416/48750]	Loss: 0.3835	LR: 0.020000
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Training Epoch: 11 [29440/48750]	Loss: 0.2916	LR: 0.020000
Training Epoch: 11 [29696/48750]	Loss: 0.4136	LR: 0.020000
Training Epoch: 11 [29952/48750]	Loss: 0.3646	LR: 0.020000
Training Epoch: 11 [30208/48750]	Loss: 0.3021	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.3470	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.4013	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.2699	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3386	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.3933	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.2985	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.3197	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.2900	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3689	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3804	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.3920	LR: 0.020000
Training Epoch: 11 [33280/48750]	Loss: 0.3300	LR: 0.020000
Training Epoch: 11 [33536/48750]	Loss: 0.3705	LR: 0.020000
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Training Epoch: 11 [34560/48750]	Loss: 0.4041	LR: 0.020000
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Training Epoch: 11 [40448/48750]	Loss: 0.3728	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.2951	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.4310	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3525	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3315	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3129	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.4059	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3469	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3806	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3023	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.2766	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3296	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3065	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3474	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3637	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.4090	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3379	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3827	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3357	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3660	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3195	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3098	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3543, Train Accuracy: 0.8767
Epoch 11 training time consumed: 29.20s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8703, Time consumed:0.91s
Training Epoch: 12 [256/48750]	Loss: 0.3788	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.2870	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3690	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.2896	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3453	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3755	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3181	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3882	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3189	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3399	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3961	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.2926	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.2823	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3689	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.2828	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3265	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.3041	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3381	LR: 0.004000
Training Epoch: 12 [4864/48750]	Loss: 0.3032	LR: 0.004000
Training Epoch: 12 [5120/48750]	Loss: 0.2827	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.2770	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.3139	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.2931	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.3244	LR: 0.004000
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Training Epoch: 12 [7168/48750]	Loss: 0.2902	LR: 0.004000
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Training Epoch: 12 [8448/48750]	Loss: 0.3100	LR: 0.004000
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Training Epoch: 12 [9984/48750]	Loss: 0.3441	LR: 0.004000
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Training Epoch: 12 [11008/48750]	Loss: 0.2879	LR: 0.004000
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Training Epoch: 12 [12288/48750]	Loss: 0.2510	LR: 0.004000
Training Epoch: 12 [12544/48750]	Loss: 0.3341	LR: 0.004000
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Training Epoch: 12 [15872/48750]	Loss: 0.3334	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.3125	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.2586	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.3008	LR: 0.004000
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Training Epoch: 12 [20736/48750]	Loss: 0.3121	LR: 0.004000
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Training Epoch: 12 [22016/48750]	Loss: 0.2934	LR: 0.004000
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Training Epoch: 12 [28160/48750]	Loss: 0.3168	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.2790	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.3146	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.3471	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.3754	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.2718	LR: 0.004000
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Training Epoch: 12 [30720/48750]	Loss: 0.2739	LR: 0.004000
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Training Epoch: 12 [32512/48750]	Loss: 0.3345	LR: 0.004000
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Training Epoch: 12 [36352/48750]	Loss: 0.3361	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.3119	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3215	LR: 0.004000
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Training Epoch: 12 [46080/48750]	Loss: 0.2736	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3579	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.2885	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3355	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3647	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3577	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.2677	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3152	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3693	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2555	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3131	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3111	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3075, Train Accuracy: 0.8942
Epoch 12 training time consumed: 29.11s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8868, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3375	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.2641	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.2646	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3391	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2810	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3119	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.2457	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.2498	LR: 0.004000
Training Epoch: 13 [2304/48750]	Loss: 0.2583	LR: 0.004000
Training Epoch: 13 [2560/48750]	Loss: 0.2897	LR: 0.004000
Training Epoch: 13 [2816/48750]	Loss: 0.2676	LR: 0.004000
Training Epoch: 13 [3072/48750]	Loss: 0.2996	LR: 0.004000
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Training Epoch: 13 [47616/48750]	Loss: 0.3194	LR: 0.004000
Training Epoch: 13 [47872/48750]	Loss: 0.2697	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.3110	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.4138	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.2346	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.5035	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2930, Train Accuracy: 0.8987
Epoch 13 training time consumed: 29.29s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8882, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3061	LR: 0.004000
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Training Epoch: 14 [2048/48750]	Loss: 0.3342	LR: 0.004000
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Training Epoch: 14 [27136/48750]	Loss: 0.2530	LR: 0.004000
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Training Epoch: 14 [32256/48750]	Loss: 0.3029	LR: 0.004000
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Training Epoch: 14 [45056/48750]	Loss: 0.2643	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.3282	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2578	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2776	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2438	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3144	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3382	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2479	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.4111	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3786	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2723	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2761	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2880	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2351	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2827	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.2856	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2846, Train Accuracy: 0.9003
Epoch 14 training time consumed: 29.16s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8884, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.2749	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2622	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2900	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.3163	LR: 0.004000
Training Epoch: 15 [1280/48750]	Loss: 0.3083	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.3345	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.3230	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.2719	LR: 0.004000
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Training Epoch: 15 [46592/48750]	Loss: 0.2938	LR: 0.004000
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Training Epoch: 15 [47104/48750]	Loss: 0.1966	LR: 0.004000
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Training Epoch: 15 [47616/48750]	Loss: 0.2566	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3304	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.4006	LR: 0.004000
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Training Epoch: 15 [48640/48750]	Loss: 0.3232	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.4381	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2820, Train Accuracy: 0.9022
Epoch 15 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8893, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2034	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.2179	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2267	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2898	LR: 0.000800
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Training Epoch: 16 [46336/48750]	Loss: 0.3125	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2224	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2911	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2634	LR: 0.000800
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Training Epoch: 16 [47616/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2007	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2039	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.1955	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2678, Train Accuracy: 0.9058
Epoch 16 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8905, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2956	LR: 0.000800
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Training Epoch: 17 [768/48750]	Loss: 0.2715	LR: 0.000800
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Training Epoch: 17 [1536/48750]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.3422	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.3086	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2629	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.1992	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2532	LR: 0.000800
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Training Epoch: 17 [6144/48750]	Loss: 0.2463	LR: 0.000800
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Training Epoch: 17 [11008/48750]	Loss: 0.2710	LR: 0.000800
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Training Epoch: 17 [25600/48750]	Loss: 0.2889	LR: 0.000800
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Training Epoch: 17 [30976/48750]	Loss: 0.2831	LR: 0.000800
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Training Epoch: 17 [32256/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2998	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.2723	LR: 0.000800
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Training Epoch: 17 [42240/48750]	Loss: 0.3028	LR: 0.000800
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Training Epoch: 17 [43776/48750]	Loss: 0.2087	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.1991	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2440	LR: 0.000800
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Training Epoch: 17 [45056/48750]	Loss: 0.2296	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.3490	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2084	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2355	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2488	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2209	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.3098	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.3213	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.3305	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.1797	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2658, Train Accuracy: 0.9076
Epoch 17 training time consumed: 29.37s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8907, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.3623	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2538	LR: 0.000800
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Training Epoch: 18 [1280/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2477	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.3652	LR: 0.000800
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Training Epoch: 18 [4608/48750]	Loss: 0.3319	LR: 0.000800
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Training Epoch: 18 [27136/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2930	LR: 0.000800
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Training Epoch: 18 [27904/48750]	Loss: 0.2422	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2624	LR: 0.000800
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Training Epoch: 18 [29440/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2553	LR: 0.000800
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Training Epoch: 18 [35840/48750]	Loss: 0.2083	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2547	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2090	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.1884	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2479	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.2233	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2338	LR: 0.000800
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Training Epoch: 18 [38400/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.3288	LR: 0.000800
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Training Epoch: 18 [40192/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2656	LR: 0.000800
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Training Epoch: 18 [42496/48750]	Loss: 0.3054	LR: 0.000800
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Training Epoch: 18 [43008/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2891	LR: 0.000800
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Training Epoch: 18 [44288/48750]	Loss: 0.2383	LR: 0.000800
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Training Epoch: 18 [44800/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2504	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.1839	LR: 0.000800
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Training Epoch: 18 [46336/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2225	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.1824	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2466	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.3065	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2855	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2651, Train Accuracy: 0.9078
Epoch 18 training time consumed: 29.60s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8920, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.1828	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2296	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2215	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.3194	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.3222	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2298	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.3225	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2305	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2094	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2299	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2164	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.3089	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2362	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2352	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3305	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2658	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2267	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2349	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2174	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2590	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2323	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.3267	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3295	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.3102	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2240	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2421	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2265	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.2151	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.3203	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2432	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2791	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2624	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2389	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.3055	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2289	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.3131	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2333	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2145	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2340	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2512	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2216	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2202	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2759	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2567	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2507	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.1928	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2857	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2359	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.1901	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2217	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2279	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2708	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.3005	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.3273	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.3508	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.2406	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2049	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.3064	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.1915	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2062	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2259	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2288	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2221	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.3419	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.1918	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2343	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2426	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2426	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2905	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2109	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2225	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2942	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2828	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2372	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.1973	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2795	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2076	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.1785	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2611, Train Accuracy: 0.9086
Epoch 19 training time consumed: 29.20s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8919, Time consumed:0.89s
Training Epoch: 20 [256/48750]	Loss: 0.2235	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2266	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3175	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2019	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2765	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.1783	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.3625	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.1746	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2355	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2516	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.1765	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.3345	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2669	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2097	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.3497	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3375	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2161	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2030	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2508	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2309	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2342	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2873	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.3518	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2624	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2128	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.3455	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.1651	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.3047	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.3086	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2334	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.2508	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.3514	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2214	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2338	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2983	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2786	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2237	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2890	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2047	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2108	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.3101	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.3365	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2906	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2516	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.1920	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2306	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2524	LR: 0.000800
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Training Epoch: 20 [46592/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.1779	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2088	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2051	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.3311	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2564	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2598, Train Accuracy: 0.9083
Epoch 20 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8931, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_00m_00s/ResNet18-Cifar10-seed7-ret75-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.4140625
Retain Accuracy: 91.20046997070312
Zero-Retain Forget (ZRF): 0.8251901865005493
Membership Inference Attack (MIA): 0.6424
Forget vs Retain Membership Inference Attack (MIA): 0.48
Forget vs Test Membership Inference Attack (MIA): 0.534
Test vs Retain Membership Inference Attack (MIA): 0.502
Train vs Test Membership Inference Attack (MIA): 0.511
Forget Set Accuracy (Df): 89.46418762207031
Method Execution Time: 1538.39 seconds
