hello
hello

📌 Retain class distribution for seed 5:
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 5:
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: 2.2965	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3198	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.2868	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3278	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2878	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3027	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2879	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2659	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2534	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2286	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2180	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1985	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1764	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1547	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1629	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.1351	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.1025	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.1195	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.0817	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.1181	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 2.0404	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0524	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 2.0117	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 2.0527	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9681	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.9810	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9955	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.9089	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9030	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9799	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9418	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8861	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8872	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.7886	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8820	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8261	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8549	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8095	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8367	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.8400	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.6643	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7724	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8516	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.6725	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.6869	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.6873	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7025	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7165	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6818	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7126	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7060	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6806	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.6030	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6798	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.5881	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6152	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.6088	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7386	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6543	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.5279	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.5799	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7935	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.6083	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6651	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6940	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6321	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6080	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.7246	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6886	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.7126	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6516	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.6011	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.6324	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7348	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6196	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6516	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6267	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6710	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6036	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6279	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6251	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5449	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.5690	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.5862	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.4913	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.6199	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.5512	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6420	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.6088	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5368	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5806	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6073	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.5225	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.4780	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5143	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.4517	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5545	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.4754	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.5107	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5048	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.4411	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.5424	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.7032	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.4743	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4539	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.4171	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.4809	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5105	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.4962	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.4247	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.4690	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.3769	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.4907	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.4386	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4536	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.4000	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5425	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.5007	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.4944	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.4788	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4773	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.5175	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.5424	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.4024	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.5856	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.4169	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.3691	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.4077	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.3173	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.3699	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.3901	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.5012	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.4471	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.3246	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.3689	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.4049	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4773	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4494	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5674	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.4682	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.4883	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.4306	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.5029	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.4102	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.3291	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.3730	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.5114	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.3287	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.3930	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.5235	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.5957	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.4640	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.4630	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.4437	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.5099	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.3938	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.2891	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4168	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.3678	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.3896	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.3395	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4790	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.3575	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4246	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.5723	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.4200	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.2669	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.3573	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.3438	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3595	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.3837	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.3329	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.2425	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3344	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.3892	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3724	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.2973	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3545	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.2411	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.3382	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.4068	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3777	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.4745	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3414	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.2612	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3739	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.1549	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.3033	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.2113	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.3229	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.2905	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6197, Train Accuracy: 0.3969
Epoch 1 training time consumed: 27.94s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0074, Accuracy: 0.4243, Time consumed:1.06s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.4441	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.3004	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.3604	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.3785	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.3285	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.2375	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.2602	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.3237	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.1490	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.3342	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.1580	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.2441	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.2197	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.1919	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.3231	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.2310	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.1835	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.3582	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.2201	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.2648	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.2306	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.4970	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.4351	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.3159	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.4576	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.1885	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2834	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.1643	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2166	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.2282	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.3629	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3274	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.2371	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2474	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.1666	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.2393	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.2499	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2428	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.4164	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.2250	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.3513	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2240	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.2180	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2636	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.2162	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.0662	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2310	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.1877	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.1294	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.1322	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.2973	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.3159	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2898	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2421	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1627	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2914	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2119	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.1532	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.1984	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.3590	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.1063	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.2490	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.1237	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2375	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2993	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.3077	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.1855	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2554	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.3087	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1166	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.1830	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1344	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2462	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.1947	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.2136	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1298	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.1352	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1695	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.1326	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1455	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.1727	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.2326	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.0187	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.9790	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.3570	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1648, Train Accuracy: 0.5811
Epoch 2 training time consumed: 27.13s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0048, Accuracy: 0.5823, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.0621	LR: 0.100000
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Training Epoch: 3 [48128/48750]	Loss: 0.9764	LR: 0.100000
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Training Epoch: 3 [48640/48750]	Loss: 0.9117	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.9462	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9645, Train Accuracy: 0.6567
Epoch 3 training time consumed: 27.15s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0045, Accuracy: 0.6108, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9298	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.5673	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8503, Train Accuracy: 0.7001
Epoch 4 training time consumed: 27.11s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0043, Accuracy: 0.6547, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7918	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.7790	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7572, Train Accuracy: 0.7368
Epoch 5 training time consumed: 27.04s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0029, Accuracy: 0.7535, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.7638	LR: 0.100000
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Training Epoch: 6 [48640/48750]	Loss: 0.6649	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.5939	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6810, Train Accuracy: 0.7627
Epoch 6 training time consumed: 27.32s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0032, Accuracy: 0.7433, Time consumed:0.94s
Training Epoch: 7 [256/48750]	Loss: 0.5842	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.5739	LR: 0.100000
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Training Epoch: 7 [1024/48750]	Loss: 0.7413	LR: 0.100000
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Training Epoch: 7 [2560/48750]	Loss: 0.5465	LR: 0.100000
Training Epoch: 7 [2816/48750]	Loss: 0.5984	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.6322	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.7618	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.5796	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.6101	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.6778	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.6321	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.6749	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.6230	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.7015	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.7790	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.6013	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.6595	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.6988	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.6154	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.5733	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.6051	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.7737	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.7970	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.6503	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.6164	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.7698	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.6026	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.7150	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.5565	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.6569	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.6533	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.6511	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.5947	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.5735	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.8049	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.6445	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.6292	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.5755	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.6914	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.5536	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.7070	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.6695	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.6013	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.6707	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.5019	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.6436	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.6807	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.7711	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.6331	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.6621	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.7165	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.6046	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.7318	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.6457	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.6974	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.5952	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.6781	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.6301	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.6449	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.6191	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.6699	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.6306	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.5640	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.5467	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.6807	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.6472	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.7334	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.6074	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.5591	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.6527	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.6852	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.5852	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.6225	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.7388	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.5819	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.6948	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.5421	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.5638	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.7184	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.6272	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.5475	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5393	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.5962	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.6223	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.6222	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.6359	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.5700	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.6419	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.5518	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.6105	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.6300	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.6839	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.6216	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.5454	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.5860	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.5842	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.6564	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.5368	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.6366	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.5662	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.6438	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.6103	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.6249	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.6184	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.5752	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.7490	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.6438	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.6910	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.6805	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.6493	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.6801	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.5888	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.5614	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.6786	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.6262	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.6677	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.6544	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.6493	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.6917	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.6563	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.6203	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.6118	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.6421	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.4788	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.5615	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.6692	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.5686	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.5550	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.6414	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.6253	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.6697	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.5562	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.5924	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.6680	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.7669	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.6202	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.5418	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.7923	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.6537	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.5434	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.6188	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.6433	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.6366	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.6337	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.5724	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.6459	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.6446	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.6544	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.5386	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.5400	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.6818	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.6780	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.6886	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.5971	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.5720	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.5296	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.7252	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.5940	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.5928	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.5227	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.6680	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.6327	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.6333	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.5650	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.6388	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.6505	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.5906	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.6391	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.7327	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.5987	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.6368	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.7333	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.6660	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.6208	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.7056	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.5693	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.6782	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.6157	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.6085	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.6788	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.6308	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.5971	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.5857	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.7658	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.6677	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6354, Train Accuracy: 0.7763
Epoch 7 training time consumed: 27.16s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0033, Accuracy: 0.7322, Time consumed:0.90s
Training Epoch: 8 [256/48750]	Loss: 0.6323	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.6145	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.6326	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.6545	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.6246	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.5577	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.5814	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.7078	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.5044	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.5085	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.5144	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.5250	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.5472	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.5955	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.5168	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.5552	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.4649	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.5198	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.5012	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.4360	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.5103	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.4832	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.5261	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.5457	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.4897	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.5468	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.5305	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.5174	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.5333	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.3576	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.4567	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.5605	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.4539	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.5764	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.5552	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.4947	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.4747	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.5380	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.5564	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.4973	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.4240	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.4377	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.4605	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.5300	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.3927	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.5105	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.5334	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.3781	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.4321	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.5138	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.4729	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.4897	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.3754	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.4348	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.5473	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4912	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.3989	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4376	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.4713	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.4681	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.4731	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.5508	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.3780	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.5207	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.4921	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4350	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.5195	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.5367	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.4526	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.5148	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.4885	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.4067	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.5296	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.5028	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.5298	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.4475	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.4972	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.5365	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.5103	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.4671	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.4476	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.4685	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.5801	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.4788	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.4697	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.5166	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.4712	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.4212	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.3905	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.5399	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.4124	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.4995	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4124	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.3642	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.4370	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.4410	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.5498	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.3276	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.3704	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.5159	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.5320	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.5057	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.4572	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.5161	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.4684	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.4977	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.4798	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.4148	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.3773	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.5200	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.3856	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.4251	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.4659	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.5102	LR: 0.020000
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Training Epoch: 8 [45568/48750]	Loss: 0.4200	LR: 0.020000
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Training Epoch: 8 [46080/48750]	Loss: 0.5474	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4107	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4736	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4447	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3588	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4264	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4908	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4681	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4797	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.5333	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4830	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.4264	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4809, Train Accuracy: 0.8346
Epoch 8 training time consumed: 27.18s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8429, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4095	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4507	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.3987	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.5147	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.5753	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.4801	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4567	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.3938	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.3554	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.4274	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4648	LR: 0.020000
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Training Epoch: 9 [3328/48750]	Loss: 0.3584	LR: 0.020000
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Training Epoch: 9 [46080/48750]	Loss: 0.4400	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.3531	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3504	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.4078	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3559	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4434	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4588	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4713	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4693	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4610	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3942	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3748	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4337, Train Accuracy: 0.8502
Epoch 9 training time consumed: 27.20s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8515, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.5012	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3638	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4647	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3901	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.4691	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.4661	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4045	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.4559	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.4618	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4197	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.3684	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.4371	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.4449	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.4326	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.4678	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.3596	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.4039	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.5066	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.3454	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.3592	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.4430	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.5378	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.4250	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.4128	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.4991	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.3259	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.3517	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.3914	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.3899	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.3004	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.3398	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.4545	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.4156	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.4443	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.3405	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.4027	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.3950	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.4438	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.4160	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.3972	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.3998	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.4431	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.5040	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.4705	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.5306	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.4558	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.4336	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.5051	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.4761	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3785	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.4452	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.3501	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.4218	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.4012	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.3406	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.4811	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.4198	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.4337	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.4235	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.4601	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.4082	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.3580	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.3994	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.3067	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.4948	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.3384	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.4476	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.3757	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.5113	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.5063	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.4560	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.3744	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.4251	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.3741	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.3699	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.3930	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.4514	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.3832	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.4579	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.4278	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.4220	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.3346	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.3866	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.4400	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.4320	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.4558	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.3981	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.4825	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.3958	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.4582	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.4241	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.5229	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.3780	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.4346	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.4284	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.3612	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.3681	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.3343	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.4136	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.3743	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.3933	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.4505	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.3851	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.4113	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.4450	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.4834	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.4416	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.4816	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.4482	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.3613	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.4195	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.3893	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.3092	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.4921	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.3667	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.4450	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.3406	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.4716	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.3682	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.4751	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.4804	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.4351	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.4332	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.4480	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.4284	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.3737	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.3824	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.4137	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.4393	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.4887	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.5079	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.3487	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.4374	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.3914	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.4431	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.3785	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.4294	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.5161	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.3226	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.3596	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.4508	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.3435	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.4120	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.4759	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.4610	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.3951	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.3725	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.4000	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.3663	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.3622	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.4187	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.3986	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.4110	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.4762	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.3187	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.4145	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.3920	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.4062	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.3631	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.3815	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.4474	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.4301	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.4001	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.4130	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.4123	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.3986	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.3907	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.5597	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.4483	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.4779	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.3937	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.3668	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.4973	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.4612	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.4490	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.4972	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.4434	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.4165	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.3407	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.3772	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.3866	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.3959	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.4047	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.4657	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.4668	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4436	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.2742	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.3441	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4173, Train Accuracy: 0.8571
Epoch 10 training time consumed: 27.17s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8499, Time consumed:0.89s
Training Epoch: 11 [256/48750]	Loss: 0.3523	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3560	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.4584	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.4150	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.3551	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.3574	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.4355	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.4157	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.3405	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.3326	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.4108	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.4714	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.4420	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.2977	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.4682	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.4693	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.3909	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.3179	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3778	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.3526	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.3420	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.3666	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.3603	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.4110	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.4467	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.3301	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.3642	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.4712	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.3910	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.3503	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3970	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.3975	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.4672	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.3767	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.4404	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.4529	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.3480	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.4969	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.3843	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.3743	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.3462	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.3468	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.3862	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3821	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.4030	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.3515	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.3573	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.4655	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.3903	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.4162	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.3747	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.3593	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.3787	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.3874	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.4168	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.3318	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.3869	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.4052	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.4337	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.3759	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.3938	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.4611	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.4239	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.4631	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3672	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.4497	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.3900	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.4177	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.4065	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.3652	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.3729	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.4772	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.4492	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.5141	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.4019	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.3148	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.5006	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.4375	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.3658	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.3684	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.3570	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.4173	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.4023	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.4608	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.4326	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3771	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.3668	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.4117	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.4334	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.3948	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.3917	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.3423	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.4254	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.4149	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.3928	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.4057	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3691	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.4223	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.3786	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.3629	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.4170	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.3537	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.2890	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.3712	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.4336	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.4958	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3472	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.4480	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.4183	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.3978	LR: 0.020000
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Training Epoch: 11 [32256/48750]	Loss: 0.3090	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3595	LR: 0.020000
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Training Epoch: 11 [44032/48750]	Loss: 0.4894	LR: 0.020000
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Training Epoch: 11 [44544/48750]	Loss: 0.3428	LR: 0.020000
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Training Epoch: 11 [45056/48750]	Loss: 0.5629	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.4394	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3624	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3629	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.4897	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3914	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3931	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.4050	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3625	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3287	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.4702	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.4225	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.2837	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3770	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3450	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.2631	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3980, Train Accuracy: 0.8626
Epoch 11 training time consumed: 27.26s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8523, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.2832	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.4416	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.4002	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3459	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3894	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.4787	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3677	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.4181	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.4101	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.2794	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3841	LR: 0.004000
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Training Epoch: 12 [3328/48750]	Loss: 0.3915	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3495	LR: 0.004000
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Training Epoch: 12 [29440/48750]	Loss: 0.3029	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.2923	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3194	LR: 0.004000
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Training Epoch: 12 [46080/48750]	Loss: 0.3790	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.4111	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3284	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3219	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.2900	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.4137	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.2783	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.4209	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3252	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3168	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2726	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.4237	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3530, Train Accuracy: 0.8791
Epoch 12 training time consumed: 27.26s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8699, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3035	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3439	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3757	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3637	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.3377	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.2892	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.2892	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.2842	LR: 0.004000
Training Epoch: 13 [2304/48750]	Loss: 0.3545	LR: 0.004000
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Training Epoch: 13 [47872/48750]	Loss: 0.3199	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.3792	LR: 0.004000
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Training Epoch: 13 [48640/48750]	Loss: 0.3497	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.2794	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3375, Train Accuracy: 0.8848
Epoch 13 training time consumed: 27.26s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8735, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3071	LR: 0.004000
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Training Epoch: 14 [26368/48750]	Loss: 0.3318	LR: 0.004000
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Training Epoch: 14 [46080/48750]	Loss: 0.3237	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.2857	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.2958	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3632	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3207	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3564	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.4035	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2935	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3070	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3418	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.3445	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.4013	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3318, Train Accuracy: 0.8867
Epoch 14 training time consumed: 27.08s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8748, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.3338	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.3166	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2965	LR: 0.004000
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Training Epoch: 15 [47104/48750]	Loss: 0.3890	LR: 0.004000
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Training Epoch: 15 [47616/48750]	Loss: 0.3633	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.2831	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.2973	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.3380	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3147	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.1961	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3223, Train Accuracy: 0.8893
Epoch 15 training time consumed: 27.15s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8752, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.3777	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.3496	LR: 0.000800
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Training Epoch: 16 [46336/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2873	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.3187	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2731	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.3598	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2331	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3141, Train Accuracy: 0.8935
Epoch 16 training time consumed: 27.27s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8761, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.3258	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.3522	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2231	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.3272	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.3445	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.3543	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.3224	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.3300	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.3685	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.3763	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.3600	LR: 0.000800
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Training Epoch: 17 [4352/48750]	Loss: 0.3863	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.3025	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.3467	LR: 0.000800
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Training Epoch: 17 [5632/48750]	Loss: 0.3438	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2397	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2405	LR: 0.000800
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Training Epoch: 17 [6912/48750]	Loss: 0.3044	LR: 0.000800
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Training Epoch: 17 [11008/48750]	Loss: 0.3319	LR: 0.000800
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Training Epoch: 17 [24576/48750]	Loss: 0.3801	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.3192	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.3433	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.2854	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.3052	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.3087	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.3794	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.3279	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.2817	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.3373	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.3435	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.2735	LR: 0.000800
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Training Epoch: 17 [28928/48750]	Loss: 0.2773	LR: 0.000800
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Training Epoch: 17 [29440/48750]	Loss: 0.3752	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.3312	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.2947	LR: 0.000800
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Training Epoch: 17 [30720/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.3157	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.2833	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.3286	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.3883	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2382	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.3308	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.3573	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.3061	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.3834	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.2743	LR: 0.000800
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Training Epoch: 17 [35328/48750]	Loss: 0.3347	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.3752	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.3263	LR: 0.000800
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Training Epoch: 17 [36352/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.3152	LR: 0.000800
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Training Epoch: 17 [37120/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2929	LR: 0.000800
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Training Epoch: 17 [38400/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.3626	LR: 0.000800
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Training Epoch: 17 [39680/48750]	Loss: 0.3433	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.3656	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.3108	LR: 0.000800
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Training Epoch: 17 [41216/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.4130	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.3334	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.3316	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.2158	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.3442	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.3585	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.3784	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2731	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.3523	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2970	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.3145	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.3445	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.3167	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.3134	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.3155	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2566	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2757	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3108, Train Accuracy: 0.8960
Epoch 17 training time consumed: 27.11s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8797, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_47m_17s/AllCNN-Cifar10-seed5-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.3291	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.3605	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2618	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.3686	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.3403	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3274	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.3157	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.3511	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.3467	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.3391	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.3733	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.3297	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.3545	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.3130	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.3186	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.2675	LR: 0.000800
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Training Epoch: 18 [6656/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.3060	LR: 0.000800
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Training Epoch: 18 [8448/48750]	Loss: 0.3512	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.3315	LR: 0.000800
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Training Epoch: 18 [9728/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.2352	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2757	LR: 0.000800
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Training Epoch: 18 [10752/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.2982	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.3453	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.3551	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.3020	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.3425	LR: 0.000800
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Training Epoch: 18 [13568/48750]	Loss: 0.2668	LR: 0.000800
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Training Epoch: 18 [14080/48750]	Loss: 0.3569	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.2890	LR: 0.000800
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Training Epoch: 18 [14848/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.3756	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.3247	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.2288	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2849	LR: 0.000800
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Training Epoch: 18 [16640/48750]	Loss: 0.3852	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2859	LR: 0.000800
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Training Epoch: 18 [25600/48750]	Loss: 0.3468	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.3500	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.3799	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.3321	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.3819	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2991	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.3295	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.3152	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2466	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.3187	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.3488	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.3281	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.3608	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2151	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.3786	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2873	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.3327	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.3705	LR: 0.000800
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Training Epoch: 18 [33792/48750]	Loss: 0.2988	LR: 0.000800
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Training Epoch: 18 [35072/48750]	Loss: 0.3387	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.3373	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.3668	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2669	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.3290	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.3278	LR: 0.000800
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Training Epoch: 18 [37888/48750]	Loss: 0.3218	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.3567	LR: 0.000800
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Training Epoch: 18 [39168/48750]	Loss: 0.2918	LR: 0.000800
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Training Epoch: 18 [39936/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.3899	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.3432	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.2984	LR: 0.000800
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Training Epoch: 18 [41728/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.3559	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2346	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2708	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.2786	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.3579	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.3648	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.3422	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.3046	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.3838	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2905	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.3380	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.2458	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.3532	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2857	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.3528	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.3360	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.3447	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2482	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3086, Train Accuracy: 0.8942
Epoch 18 training time consumed: 27.54s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8781, Time consumed:0.91s
Training Epoch: 19 [256/48750]	Loss: 0.4221	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.3245	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.3441	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.3452	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.3123	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.3236	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.3373	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2296	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2369	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.3643	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.3443	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.3571	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.3395	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.3471	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.3705	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.3855	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.3432	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.3315	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3152	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.3826	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.3283	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.3415	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.3217	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2905	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.3236	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2422	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3060	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.3411	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.3287	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.3509	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2821	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3835	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.3229	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.3097	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.3225	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3013	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.3205	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.3568	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.3666	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.3091	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.3414	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.3118	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.3678	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.3126	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.3232	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.3590	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.3512	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.3573	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.3103	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3807	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.3356	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.3587	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.3815	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.3055	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.3026	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2906	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.3391	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.3233	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.3175	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.3203	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.4141	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.2873	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.3398	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2286	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.3382	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.3065	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.3392	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2890	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.3242	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.3377	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.3547	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2300	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2731	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2953	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3380	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2932	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.3473	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3267	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.3103	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.3393	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.4265	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.3748	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.3065	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.3252	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.3109	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.3251	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.3124	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.3462	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.3235	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.3093	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.3465	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.3141	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.3525	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.4012	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.3312	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2998	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.2461	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3069, Train Accuracy: 0.8949
Epoch 19 training time consumed: 27.18s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8783, Time consumed:0.98s
Training Epoch: 20 [256/48750]	Loss: 0.2426	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.3394	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.3126	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.3277	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.3698	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.3730	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.3299	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.3830	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.3668	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.3617	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.3386	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.3809	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.3161	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.3531	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2658	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.3845	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.3239	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3224	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.3145	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.3461	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2970	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.3440	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2421	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2791	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.3353	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2932	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.3579	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.3315	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.2364	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.3560	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.3363	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.3447	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.3447	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.3901	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.3407	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.3309	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.3357	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2731	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2669	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.3433	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.3325	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.3780	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.3258	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.3896	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.3548	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.3010	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2759	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.3341	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.4357	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2635	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.3621	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2906	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2512	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.3311	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.3050	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.4252	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.3445	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.3588	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.3155	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2821	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.3179	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.3535	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.3298	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2245	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.2556	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.3857	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.3256	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.3121	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.3499	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.3707	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.3515	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.3672	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.3380	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.3647	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.3641	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.2576	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.2546	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.3339	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.3290	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.3992	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.3180	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.3186	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.3123	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.2598	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2380	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.3816	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.3586	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.3116	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.3126	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.3451	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.3349	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.3728	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.4962	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.3173	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.3011	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.3949	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3373	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3080, Train Accuracy: 0.8952
Epoch 20 training time consumed: 27.12s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8786, Time consumed:0.90s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 87.998046875
Retain Accuracy: 90.03268432617188
Zero-Retain Forget (ZRF): 0.8522548079490662
Membership Inference Attack (MIA): 0.3912
Forget vs Retain Membership Inference Attack (MIA): 0.534
Forget vs Test Membership Inference Attack (MIA): 0.55
Test vs Retain Membership Inference Attack (MIA): 0.5005
Train vs Test Membership Inference Attack (MIA): 0.51325
Forget Set Accuracy (Df): 86.30807495117188
Method Execution Time: 1071.03 seconds
