hello
hello

📌 Retain class distribution for seed 8:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

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

📊 Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.3305	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3347	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3085	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3172	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3033	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3044	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2995	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2814	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2625	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2758	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2390	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2261	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.2251	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.2099	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1978	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.1758	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.1347	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.1032	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.1431	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.0915	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 2.0669	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0726	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 2.0477	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 2.0376	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 2.0390	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.9593	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 2.0080	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.9637	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9095	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9135	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8880	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8730	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8879	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8910	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8962	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.9479	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8709	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8744	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8079	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7743	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7878	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7893	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7660	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7913	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.8150	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7352	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7084	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7413	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.8196	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7923	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7181	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.8065	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7967	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6668	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.8169	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6523	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.8012	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6836	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7629	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6985	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.6580	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7115	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.6524	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6684	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.5830	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6597	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.5940	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6885	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6799	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.7106	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.7188	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7950	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.6308	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7519	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.5919	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.7223	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6984	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.5935	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6072	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.5447	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6624	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5832	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.6137	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.5434	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6092	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.5585	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.5252	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.5583	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.6465	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.7088	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6404	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.4936	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.7070	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.6206	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.6284	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.7582	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5512	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.5204	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.5225	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5118	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.6092	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.5739	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.6487	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.5214	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5310	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.5847	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.5940	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5999	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.5042	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.4904	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.4696	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.6618	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.4692	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5040	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.6680	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.6041	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5469	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.4914	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.4600	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.4056	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4487	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.5886	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.4761	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.5261	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.4467	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.4247	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.3234	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.4802	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.3779	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.3781	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.4299	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4704	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5358	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.4683	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.4043	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.5648	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.5703	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4949	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5069	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.3554	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.3462	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.4655	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.4255	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.3762	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.3974	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.4057	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4685	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.4743	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.3937	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4129	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4410	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.4405	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.4070	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.3946	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.3967	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.3507	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.3202	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.5268	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.3945	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.3431	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.3267	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4722	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.3635	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.3503	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4320	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.3719	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.4057	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.3833	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4446	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.2941	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.2752	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.5035	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.2462	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3546	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.4231	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3698	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.3220	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3562	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4357	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.4841	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3474	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3765	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3133	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.4859	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.3420	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.2717	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.4018	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.3228	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.3194	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.2907	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.3060	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6484, Train Accuracy: 0.3886
Epoch 1 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0076, Accuracy: 0.4165, Time consumed:1.15s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.3164	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.4757	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.3790	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.3215	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.3794	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.3167	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.4407	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.2836	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.2343	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.2806	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.2589	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3874	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.2579	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3166	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.3673	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.5381	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.3933	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.4418	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.2533	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.2515	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3174	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.2651	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.3455	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.4056	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3690	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.2462	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2306	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.5109	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2667	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.2688	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.2492	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.2709	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.2629	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.3142	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.4238	LR: 0.100000
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Training Epoch: 2 [9472/48750]	Loss: 1.2940	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.3636	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.1976	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.3614	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.3319	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2764	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.1503	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2109	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.2329	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2827	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2072	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.3138	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.1843	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2352	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.3197	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.3296	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2113	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.3119	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1907	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.1579	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2358	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.1832	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.2183	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2096	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.1277	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.2934	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2545	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.3247	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.1350	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2507	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.2015	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.1776	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2255	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1606	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.2610	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1669	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2733	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.2606	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.3217	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.0356	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.1563	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1885	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.2879	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1620	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.1145	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1962	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.0656	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.9368	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.1557	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1830, Train Accuracy: 0.5730
Epoch 2 training time consumed: 27.06s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0054, Accuracy: 0.5496, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.9284	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.9172	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.9461	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 1.0145	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9743, Train Accuracy: 0.6531
Epoch 3 training time consumed: 27.02s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0041, Accuracy: 0.6453, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.8458	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.9322	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8478, Train Accuracy: 0.7014
Epoch 4 training time consumed: 26.96s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0040, Accuracy: 0.6709, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7851	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.8120	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7510, Train Accuracy: 0.7358
Epoch 5 training time consumed: 27.24s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0040, Accuracy: 0.6880, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.6790	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.5788	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6830, Train Accuracy: 0.7619
Epoch 6 training time consumed: 27.06s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7646, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.6629	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.5742	LR: 0.100000
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Training Epoch: 7 [2304/48750]	Loss: 0.5960	LR: 0.100000
Training Epoch: 7 [2560/48750]	Loss: 0.5666	LR: 0.100000
Training Epoch: 7 [2816/48750]	Loss: 0.6101	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.6285	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.6350	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.5250	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.5517	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.6636	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.5757	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.7343	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.6672	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.5831	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.6584	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.6190	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.6338	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.6778	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.6242	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.5791	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.5680	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.8394	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.6726	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.5159	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.5517	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.6160	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.6771	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.6016	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.7461	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.6585	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.6566	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.6915	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.6232	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.7216	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.5420	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.6888	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.6413	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.5941	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.5771	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.5813	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.6326	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.6205	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.6260	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.6282	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.7369	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.7337	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.5923	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.6321	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.6107	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.6532	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.5604	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.7550	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.6132	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.6292	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.5778	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.6782	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.7558	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.6515	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.5648	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.6496	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.6252	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.5347	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.7577	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.7003	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.6262	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.4889	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.7350	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.6323	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.6043	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.7254	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.6908	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.6639	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.5856	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.6223	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.5797	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.6304	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.6666	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.6394	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.6752	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.5676	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.6137	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5273	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.5117	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.7206	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.5599	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.7009	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.6279	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.6432	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.6085	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.6099	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.5719	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.5072	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.5904	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.7383	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.6269	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.6006	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.6190	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.5864	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.5819	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.6098	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.6687	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.6240	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.6388	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.7482	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.6149	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.7693	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.7032	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.6546	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.6360	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.5601	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.5806	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.6011	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.6156	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.7096	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.6614	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.6231	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.5595	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.5974	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.6138	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.6210	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.5955	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.5340	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.7005	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.5921	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.6711	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.5685	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.6822	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.5594	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.6455	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.6741	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.4536	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.6292	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.6522	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.5778	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.6623	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.5552	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.6893	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.7482	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.5568	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.6386	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.5644	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.6615	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.6620	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.6605	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.6459	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.5570	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.6053	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.5803	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.6157	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.6485	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.5881	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.7081	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.6238	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.5392	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.6085	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.7041	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.4358	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.7254	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.6979	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.6626	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.5824	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.7325	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.6550	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.5975	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.8107	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.6479	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.6038	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.6539	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.5820	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.6768	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.6467	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.6954	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.6602	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.6547	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.5954	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.6241	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.6046	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.7014	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.6092	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.6468	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.6019	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.6488	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.6129	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.6476	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.6324	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6309, Train Accuracy: 0.7812
Epoch 7 training time consumed: 27.06s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0036, Accuracy: 0.7174, Time consumed:0.98s
Training Epoch: 8 [256/48750]	Loss: 0.5503	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.5697	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.6160	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.5306	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.5510	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.6020	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.5712	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.4824	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.5142	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.5268	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.4779	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.5027	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.5840	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.4971	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.5415	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.4348	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.5108	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.4048	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.5268	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.5035	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.5366	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.5748	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.5061	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.4904	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.5529	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.5688	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.4711	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.5197	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.5030	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.5149	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.5462	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.5101	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.4443	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.4672	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.4335	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.5051	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.4593	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.5780	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.4575	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.5051	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.4610	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.5149	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.4547	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.4584	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.4895	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.5566	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.4921	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.4695	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.5183	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.5118	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.5199	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.4560	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.4801	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.4343	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.5672	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.6217	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.4759	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4736	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.4165	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.4585	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.4831	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.5189	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.4252	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.4493	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.4287	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4611	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.4613	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.4707	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.5248	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.5320	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.5395	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.5208	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.4513	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.3868	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.4995	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.4610	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.3917	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.4616	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.4506	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.5223	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.4359	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.5349	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.5338	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.4894	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.4881	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.5372	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.4624	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.4723	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.4813	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.4268	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.5300	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.4727	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4623	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.5265	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.4600	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.4279	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.5711	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.4279	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.5019	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.4453	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.4654	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.5754	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.4676	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.5788	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.4317	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.4698	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.5019	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.4144	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.4605	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.5112	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.3580	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.4669	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.4889	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.4963	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4561	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4165	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.4564	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.4273	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4854	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4837	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4704	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4201	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4261	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4666	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4178	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4682	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4831	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.5042	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.4108	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4797, Train Accuracy: 0.8353
Epoch 8 training time consumed: 27.18s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8410, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.5831	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4433	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4015	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4401	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4771	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.4334	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.5247	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4656	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4191	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.4894	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4925	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.4336	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.3501	LR: 0.020000
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Training Epoch: 9 [3840/48750]	Loss: 0.4783	LR: 0.020000
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Training Epoch: 9 [4352/48750]	Loss: 0.3425	LR: 0.020000
Training Epoch: 9 [4608/48750]	Loss: 0.4595	LR: 0.020000
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Training Epoch: 9 [37888/48750]	Loss: 0.3931	LR: 0.020000
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Training Epoch: 9 [40960/48750]	Loss: 0.4597	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.4305	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.3899	LR: 0.020000
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Training Epoch: 9 [46080/48750]	Loss: 0.4301	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.4282	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3920	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.5117	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4716	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4802	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.3162	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.3697	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.3603	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4954	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.4279	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.2994	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4367, Train Accuracy: 0.8498
Epoch 9 training time consumed: 27.24s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8498, Time consumed:1.02s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.5595	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.5149	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.5006	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3658	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.4365	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3988	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4150	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.4085	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.5111	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4358	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.5181	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.4634	LR: 0.020000
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Training Epoch: 10 [48128/48750]	Loss: 0.4450	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.5499	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.2913	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.5338	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4148, Train Accuracy: 0.8576
Epoch 10 training time consumed: 27.08s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8572, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.2799	LR: 0.020000
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Training Epoch: 11 [768/48750]	Loss: 0.3948	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.3519	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.4284	LR: 0.020000
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Training Epoch: 11 [8448/48750]	Loss: 0.3853	LR: 0.020000
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Training Epoch: 11 [24576/48750]	Loss: 0.4379	LR: 0.020000
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Training Epoch: 11 [27136/48750]	Loss: 0.4139	LR: 0.020000
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Training Epoch: 11 [27904/48750]	Loss: 0.3470	LR: 0.020000
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Training Epoch: 11 [29440/48750]	Loss: 0.3826	LR: 0.020000
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Training Epoch: 11 [29952/48750]	Loss: 0.3744	LR: 0.020000
Training Epoch: 11 [30208/48750]	Loss: 0.4338	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.3935	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.3840	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.4438	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.4006	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.3973	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3825	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.4463	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.4744	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.4087	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3376	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.3348	LR: 0.020000
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Training Epoch: 11 [36864/48750]	Loss: 0.3361	LR: 0.020000
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Training Epoch: 11 [40448/48750]	Loss: 0.3246	LR: 0.020000
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Training Epoch: 11 [44288/48750]	Loss: 0.4446	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.4144	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.4429	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3308	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3521	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3716	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3181	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3617	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4051	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.5646	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3978	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3526	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3451	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.4079	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.4464	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3203	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.4248	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3108	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3994	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3990, Train Accuracy: 0.8634
Epoch 11 training time consumed: 27.09s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8490, Time consumed:0.90s
Training Epoch: 12 [256/48750]	Loss: 0.3222	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3969	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3103	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3707	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3608	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3359	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3575	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3037	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3887	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3989	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3414	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3183	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3402	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3986	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.4372	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3908	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.4702	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3847	LR: 0.004000
Training Epoch: 12 [4864/48750]	Loss: 0.3630	LR: 0.004000
Training Epoch: 12 [5120/48750]	Loss: 0.3104	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.3327	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.3614	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.3691	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.3974	LR: 0.004000
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Training Epoch: 12 [6656/48750]	Loss: 0.3263	LR: 0.004000
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Training Epoch: 12 [7680/48750]	Loss: 0.3753	LR: 0.004000
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Training Epoch: 12 [8448/48750]	Loss: 0.3498	LR: 0.004000
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Training Epoch: 12 [8960/48750]	Loss: 0.3118	LR: 0.004000
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Training Epoch: 12 [9472/48750]	Loss: 0.3669	LR: 0.004000
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Training Epoch: 12 [9984/48750]	Loss: 0.2719	LR: 0.004000
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Training Epoch: 12 [11008/48750]	Loss: 0.4118	LR: 0.004000
Training Epoch: 12 [11264/48750]	Loss: 0.3237	LR: 0.004000
Training Epoch: 12 [11520/48750]	Loss: 0.3686	LR: 0.004000
Training Epoch: 12 [11776/48750]	Loss: 0.3319	LR: 0.004000
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Training Epoch: 12 [12288/48750]	Loss: 0.3417	LR: 0.004000
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Training Epoch: 12 [15872/48750]	Loss: 0.3304	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.3182	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.2987	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.3263	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.3247	LR: 0.004000
Training Epoch: 12 [17152/48750]	Loss: 0.3746	LR: 0.004000
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Training Epoch: 12 [20224/48750]	Loss: 0.3304	LR: 0.004000
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Training Epoch: 12 [22016/48750]	Loss: 0.2671	LR: 0.004000
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Training Epoch: 12 [27392/48750]	Loss: 0.3585	LR: 0.004000
Training Epoch: 12 [27648/48750]	Loss: 0.3239	LR: 0.004000
Training Epoch: 12 [27904/48750]	Loss: 0.4111	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.3391	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3223	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.3309	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.3479	LR: 0.004000
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Training Epoch: 12 [29440/48750]	Loss: 0.3456	LR: 0.004000
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Training Epoch: 12 [36352/48750]	Loss: 0.3940	LR: 0.004000
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Training Epoch: 12 [37888/48750]	Loss: 0.3997	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.3227	LR: 0.004000
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Training Epoch: 12 [45824/48750]	Loss: 0.4090	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.2755	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.4306	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.4169	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3826	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3370	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3470	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3236	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3926	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3058	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3510	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3710	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3452	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3528, Train Accuracy: 0.8799
Epoch 12 training time consumed: 27.23s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8700, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3878	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3473	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3654	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3201	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2920	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.2963	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.3182	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.3395	LR: 0.004000
Training Epoch: 13 [2304/48750]	Loss: 0.2594	LR: 0.004000
Training Epoch: 13 [2560/48750]	Loss: 0.3314	LR: 0.004000
Training Epoch: 13 [2816/48750]	Loss: 0.3460	LR: 0.004000
Training Epoch: 13 [3072/48750]	Loss: 0.3589	LR: 0.004000
Training Epoch: 13 [3328/48750]	Loss: 0.3245	LR: 0.004000
Training Epoch: 13 [3584/48750]	Loss: 0.3032	LR: 0.004000
Training Epoch: 13 [3840/48750]	Loss: 0.4083	LR: 0.004000
Training Epoch: 13 [4096/48750]	Loss: 0.3813	LR: 0.004000
Training Epoch: 13 [4352/48750]	Loss: 0.3281	LR: 0.004000
Training Epoch: 13 [4608/48750]	Loss: 0.2939	LR: 0.004000
Training Epoch: 13 [4864/48750]	Loss: 0.3446	LR: 0.004000
Training Epoch: 13 [5120/48750]	Loss: 0.4026	LR: 0.004000
Training Epoch: 13 [5376/48750]	Loss: 0.3156	LR: 0.004000
Training Epoch: 13 [5632/48750]	Loss: 0.3329	LR: 0.004000
Training Epoch: 13 [5888/48750]	Loss: 0.3456	LR: 0.004000
Training Epoch: 13 [6144/48750]	Loss: 0.3436	LR: 0.004000
Training Epoch: 13 [6400/48750]	Loss: 0.3552	LR: 0.004000
Training Epoch: 13 [6656/48750]	Loss: 0.3870	LR: 0.004000
Training Epoch: 13 [6912/48750]	Loss: 0.3940	LR: 0.004000
Training Epoch: 13 [7168/48750]	Loss: 0.3501	LR: 0.004000
Training Epoch: 13 [7424/48750]	Loss: 0.3427	LR: 0.004000
Training Epoch: 13 [7680/48750]	Loss: 0.2589	LR: 0.004000
Training Epoch: 13 [7936/48750]	Loss: 0.3690	LR: 0.004000
Training Epoch: 13 [8192/48750]	Loss: 0.2497	LR: 0.004000
Training Epoch: 13 [8448/48750]	Loss: 0.3617	LR: 0.004000
Training Epoch: 13 [8704/48750]	Loss: 0.3471	LR: 0.004000
Training Epoch: 13 [8960/48750]	Loss: 0.3112	LR: 0.004000
Training Epoch: 13 [9216/48750]	Loss: 0.3131	LR: 0.004000
Training Epoch: 13 [9472/48750]	Loss: 0.3817	LR: 0.004000
Training Epoch: 13 [9728/48750]	Loss: 0.3457	LR: 0.004000
Training Epoch: 13 [9984/48750]	Loss: 0.3166	LR: 0.004000
Training Epoch: 13 [10240/48750]	Loss: 0.2867	LR: 0.004000
Training Epoch: 13 [10496/48750]	Loss: 0.2729	LR: 0.004000
Training Epoch: 13 [10752/48750]	Loss: 0.4093	LR: 0.004000
Training Epoch: 13 [11008/48750]	Loss: 0.3718	LR: 0.004000
Training Epoch: 13 [11264/48750]	Loss: 0.3090	LR: 0.004000
Training Epoch: 13 [11520/48750]	Loss: 0.2739	LR: 0.004000
Training Epoch: 13 [11776/48750]	Loss: 0.3176	LR: 0.004000
Training Epoch: 13 [12032/48750]	Loss: 0.3403	LR: 0.004000
Training Epoch: 13 [12288/48750]	Loss: 0.3472	LR: 0.004000
Training Epoch: 13 [12544/48750]	Loss: 0.3813	LR: 0.004000
Training Epoch: 13 [12800/48750]	Loss: 0.3544	LR: 0.004000
Training Epoch: 13 [13056/48750]	Loss: 0.4275	LR: 0.004000
Training Epoch: 13 [13312/48750]	Loss: 0.3084	LR: 0.004000
Training Epoch: 13 [13568/48750]	Loss: 0.3615	LR: 0.004000
Training Epoch: 13 [13824/48750]	Loss: 0.3872	LR: 0.004000
Training Epoch: 13 [14080/48750]	Loss: 0.3578	LR: 0.004000
Training Epoch: 13 [14336/48750]	Loss: 0.3902	LR: 0.004000
Training Epoch: 13 [14592/48750]	Loss: 0.3287	LR: 0.004000
Training Epoch: 13 [14848/48750]	Loss: 0.3426	LR: 0.004000
Training Epoch: 13 [15104/48750]	Loss: 0.4452	LR: 0.004000
Training Epoch: 13 [15360/48750]	Loss: 0.3613	LR: 0.004000
Training Epoch: 13 [15616/48750]	Loss: 0.3291	LR: 0.004000
Training Epoch: 13 [15872/48750]	Loss: 0.3236	LR: 0.004000
Training Epoch: 13 [16128/48750]	Loss: 0.2838	LR: 0.004000
Training Epoch: 13 [16384/48750]	Loss: 0.3999	LR: 0.004000
Training Epoch: 13 [16640/48750]	Loss: 0.4038	LR: 0.004000
Training Epoch: 13 [16896/48750]	Loss: 0.3484	LR: 0.004000
Training Epoch: 13 [17152/48750]	Loss: 0.2793	LR: 0.004000
Training Epoch: 13 [17408/48750]	Loss: 0.4159	LR: 0.004000
Training Epoch: 13 [17664/48750]	Loss: 0.3365	LR: 0.004000
Training Epoch: 13 [17920/48750]	Loss: 0.3823	LR: 0.004000
Training Epoch: 13 [18176/48750]	Loss: 0.3057	LR: 0.004000
Training Epoch: 13 [18432/48750]	Loss: 0.4311	LR: 0.004000
Training Epoch: 13 [18688/48750]	Loss: 0.2762	LR: 0.004000
Training Epoch: 13 [18944/48750]	Loss: 0.3060	LR: 0.004000
Training Epoch: 13 [19200/48750]	Loss: 0.3385	LR: 0.004000
Training Epoch: 13 [19456/48750]	Loss: 0.2990	LR: 0.004000
Training Epoch: 13 [19712/48750]	Loss: 0.3361	LR: 0.004000
Training Epoch: 13 [19968/48750]	Loss: 0.3907	LR: 0.004000
Training Epoch: 13 [20224/48750]	Loss: 0.3403	LR: 0.004000
Training Epoch: 13 [20480/48750]	Loss: 0.3141	LR: 0.004000
Training Epoch: 13 [20736/48750]	Loss: 0.3155	LR: 0.004000
Training Epoch: 13 [20992/48750]	Loss: 0.3760	LR: 0.004000
Training Epoch: 13 [21248/48750]	Loss: 0.2945	LR: 0.004000
Training Epoch: 13 [21504/48750]	Loss: 0.3381	LR: 0.004000
Training Epoch: 13 [21760/48750]	Loss: 0.3271	LR: 0.004000
Training Epoch: 13 [22016/48750]	Loss: 0.2957	LR: 0.004000
Training Epoch: 13 [22272/48750]	Loss: 0.3030	LR: 0.004000
Training Epoch: 13 [22528/48750]	Loss: 0.3372	LR: 0.004000
Training Epoch: 13 [22784/48750]	Loss: 0.3749	LR: 0.004000
Training Epoch: 13 [23040/48750]	Loss: 0.3288	LR: 0.004000
Training Epoch: 13 [23296/48750]	Loss: 0.2728	LR: 0.004000
Training Epoch: 13 [23552/48750]	Loss: 0.3433	LR: 0.004000
Training Epoch: 13 [23808/48750]	Loss: 0.2793	LR: 0.004000
Training Epoch: 13 [24064/48750]	Loss: 0.3542	LR: 0.004000
Training Epoch: 13 [24320/48750]	Loss: 0.2754	LR: 0.004000
Training Epoch: 13 [24576/48750]	Loss: 0.3718	LR: 0.004000
Training Epoch: 13 [24832/48750]	Loss: 0.3779	LR: 0.004000
Training Epoch: 13 [25088/48750]	Loss: 0.3567	LR: 0.004000
Training Epoch: 13 [25344/48750]	Loss: 0.2799	LR: 0.004000
Training Epoch: 13 [25600/48750]	Loss: 0.3978	LR: 0.004000
Training Epoch: 13 [25856/48750]	Loss: 0.3477	LR: 0.004000
Training Epoch: 13 [26112/48750]	Loss: 0.3587	LR: 0.004000
Training Epoch: 13 [26368/48750]	Loss: 0.3209	LR: 0.004000
Training Epoch: 13 [26624/48750]	Loss: 0.3343	LR: 0.004000
Training Epoch: 13 [26880/48750]	Loss: 0.3426	LR: 0.004000
Training Epoch: 13 [27136/48750]	Loss: 0.4011	LR: 0.004000
Training Epoch: 13 [27392/48750]	Loss: 0.3572	LR: 0.004000
Training Epoch: 13 [27648/48750]	Loss: 0.3801	LR: 0.004000
Training Epoch: 13 [27904/48750]	Loss: 0.3507	LR: 0.004000
Training Epoch: 13 [28160/48750]	Loss: 0.3619	LR: 0.004000
Training Epoch: 13 [28416/48750]	Loss: 0.4206	LR: 0.004000
Training Epoch: 13 [28672/48750]	Loss: 0.3322	LR: 0.004000
Training Epoch: 13 [28928/48750]	Loss: 0.3326	LR: 0.004000
Training Epoch: 13 [29184/48750]	Loss: 0.2783	LR: 0.004000
Training Epoch: 13 [29440/48750]	Loss: 0.2724	LR: 0.004000
Training Epoch: 13 [29696/48750]	Loss: 0.3809	LR: 0.004000
Training Epoch: 13 [29952/48750]	Loss: 0.2822	LR: 0.004000
Training Epoch: 13 [30208/48750]	Loss: 0.4021	LR: 0.004000
Training Epoch: 13 [30464/48750]	Loss: 0.3604	LR: 0.004000
Training Epoch: 13 [30720/48750]	Loss: 0.3735	LR: 0.004000
Training Epoch: 13 [30976/48750]	Loss: 0.3747	LR: 0.004000
Training Epoch: 13 [31232/48750]	Loss: 0.3677	LR: 0.004000
Training Epoch: 13 [31488/48750]	Loss: 0.3061	LR: 0.004000
Training Epoch: 13 [31744/48750]	Loss: 0.3601	LR: 0.004000
Training Epoch: 13 [32000/48750]	Loss: 0.3477	LR: 0.004000
Training Epoch: 13 [32256/48750]	Loss: 0.2805	LR: 0.004000
Training Epoch: 13 [32512/48750]	Loss: 0.2844	LR: 0.004000
Training Epoch: 13 [32768/48750]	Loss: 0.3172	LR: 0.004000
Training Epoch: 13 [33024/48750]	Loss: 0.2866	LR: 0.004000
Training Epoch: 13 [33280/48750]	Loss: 0.2762	LR: 0.004000
Training Epoch: 13 [33536/48750]	Loss: 0.4195	LR: 0.004000
Training Epoch: 13 [33792/48750]	Loss: 0.3503	LR: 0.004000
Training Epoch: 13 [34048/48750]	Loss: 0.2870	LR: 0.004000
Training Epoch: 13 [34304/48750]	Loss: 0.3627	LR: 0.004000
Training Epoch: 13 [34560/48750]	Loss: 0.3403	LR: 0.004000
Training Epoch: 13 [34816/48750]	Loss: 0.3624	LR: 0.004000
Training Epoch: 13 [35072/48750]	Loss: 0.2788	LR: 0.004000
Training Epoch: 13 [35328/48750]	Loss: 0.3773	LR: 0.004000
Training Epoch: 13 [35584/48750]	Loss: 0.3056	LR: 0.004000
Training Epoch: 13 [35840/48750]	Loss: 0.3317	LR: 0.004000
Training Epoch: 13 [36096/48750]	Loss: 0.3671	LR: 0.004000
Training Epoch: 13 [36352/48750]	Loss: 0.3074	LR: 0.004000
Training Epoch: 13 [36608/48750]	Loss: 0.3332	LR: 0.004000
Training Epoch: 13 [36864/48750]	Loss: 0.3763	LR: 0.004000
Training Epoch: 13 [37120/48750]	Loss: 0.3546	LR: 0.004000
Training Epoch: 13 [37376/48750]	Loss: 0.2539	LR: 0.004000
Training Epoch: 13 [37632/48750]	Loss: 0.3213	LR: 0.004000
Training Epoch: 13 [37888/48750]	Loss: 0.3778	LR: 0.004000
Training Epoch: 13 [38144/48750]	Loss: 0.4171	LR: 0.004000
Training Epoch: 13 [38400/48750]	Loss: 0.3955	LR: 0.004000
Training Epoch: 13 [38656/48750]	Loss: 0.3552	LR: 0.004000
Training Epoch: 13 [38912/48750]	Loss: 0.3518	LR: 0.004000
Training Epoch: 13 [39168/48750]	Loss: 0.2999	LR: 0.004000
Training Epoch: 13 [39424/48750]	Loss: 0.4382	LR: 0.004000
Training Epoch: 13 [39680/48750]	Loss: 0.3204	LR: 0.004000
Training Epoch: 13 [39936/48750]	Loss: 0.3924	LR: 0.004000
Training Epoch: 13 [40192/48750]	Loss: 0.2976	LR: 0.004000
Training Epoch: 13 [40448/48750]	Loss: 0.3215	LR: 0.004000
Training Epoch: 13 [40704/48750]	Loss: 0.3520	LR: 0.004000
Training Epoch: 13 [40960/48750]	Loss: 0.3244	LR: 0.004000
Training Epoch: 13 [41216/48750]	Loss: 0.3357	LR: 0.004000
Training Epoch: 13 [41472/48750]	Loss: 0.4049	LR: 0.004000
Training Epoch: 13 [41728/48750]	Loss: 0.2678	LR: 0.004000
Training Epoch: 13 [41984/48750]	Loss: 0.3079	LR: 0.004000
Training Epoch: 13 [42240/48750]	Loss: 0.3939	LR: 0.004000
Training Epoch: 13 [42496/48750]	Loss: 0.3265	LR: 0.004000
Training Epoch: 13 [42752/48750]	Loss: 0.3805	LR: 0.004000
Training Epoch: 13 [43008/48750]	Loss: 0.3572	LR: 0.004000
Training Epoch: 13 [43264/48750]	Loss: 0.4308	LR: 0.004000
Training Epoch: 13 [43520/48750]	Loss: 0.3929	LR: 0.004000
Training Epoch: 13 [43776/48750]	Loss: 0.3739	LR: 0.004000
Training Epoch: 13 [44032/48750]	Loss: 0.2830	LR: 0.004000
Training Epoch: 13 [44288/48750]	Loss: 0.3334	LR: 0.004000
Training Epoch: 13 [44544/48750]	Loss: 0.3815	LR: 0.004000
Training Epoch: 13 [44800/48750]	Loss: 0.3088	LR: 0.004000
Training Epoch: 13 [45056/48750]	Loss: 0.3864	LR: 0.004000
Training Epoch: 13 [45312/48750]	Loss: 0.3740	LR: 0.004000
Training Epoch: 13 [45568/48750]	Loss: 0.3512	LR: 0.004000
Training Epoch: 13 [45824/48750]	Loss: 0.3653	LR: 0.004000
Training Epoch: 13 [46080/48750]	Loss: 0.2968	LR: 0.004000
Training Epoch: 13 [46336/48750]	Loss: 0.2813	LR: 0.004000
Training Epoch: 13 [46592/48750]	Loss: 0.2959	LR: 0.004000
Training Epoch: 13 [46848/48750]	Loss: 0.2948	LR: 0.004000
Training Epoch: 13 [47104/48750]	Loss: 0.2977	LR: 0.004000
Training Epoch: 13 [47360/48750]	Loss: 0.3590	LR: 0.004000
Training Epoch: 13 [47616/48750]	Loss: 0.3515	LR: 0.004000
Training Epoch: 13 [47872/48750]	Loss: 0.3413	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.3611	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.3514	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.2821	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.4008	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3413, Train Accuracy: 0.8829
Epoch 13 training time consumed: 27.31s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8700, Time consumed:0.92s
Training Epoch: 14 [256/48750]	Loss: 0.3420	LR: 0.004000
Training Epoch: 14 [512/48750]	Loss: 0.3459	LR: 0.004000
Training Epoch: 14 [768/48750]	Loss: 0.2870	LR: 0.004000
Training Epoch: 14 [1024/48750]	Loss: 0.3656	LR: 0.004000
Training Epoch: 14 [1280/48750]	Loss: 0.3178	LR: 0.004000
Training Epoch: 14 [1536/48750]	Loss: 0.2965	LR: 0.004000
Training Epoch: 14 [1792/48750]	Loss: 0.2796	LR: 0.004000
Training Epoch: 14 [2048/48750]	Loss: 0.3746	LR: 0.004000
Training Epoch: 14 [2304/48750]	Loss: 0.4032	LR: 0.004000
Training Epoch: 14 [2560/48750]	Loss: 0.2995	LR: 0.004000
Training Epoch: 14 [2816/48750]	Loss: 0.3187	LR: 0.004000
Training Epoch: 14 [3072/48750]	Loss: 0.3637	LR: 0.004000
Training Epoch: 14 [3328/48750]	Loss: 0.3475	LR: 0.004000
Training Epoch: 14 [3584/48750]	Loss: 0.3970	LR: 0.004000
Training Epoch: 14 [3840/48750]	Loss: 0.2443	LR: 0.004000
Training Epoch: 14 [4096/48750]	Loss: 0.3984	LR: 0.004000
Training Epoch: 14 [4352/48750]	Loss: 0.3156	LR: 0.004000
Training Epoch: 14 [4608/48750]	Loss: 0.3430	LR: 0.004000
Training Epoch: 14 [4864/48750]	Loss: 0.3242	LR: 0.004000
Training Epoch: 14 [5120/48750]	Loss: 0.3653	LR: 0.004000
Training Epoch: 14 [5376/48750]	Loss: 0.3057	LR: 0.004000
Training Epoch: 14 [5632/48750]	Loss: 0.3805	LR: 0.004000
Training Epoch: 14 [5888/48750]	Loss: 0.2867	LR: 0.004000
Training Epoch: 14 [6144/48750]	Loss: 0.2886	LR: 0.004000
Training Epoch: 14 [6400/48750]	Loss: 0.3291	LR: 0.004000
Training Epoch: 14 [6656/48750]	Loss: 0.3678	LR: 0.004000
Training Epoch: 14 [6912/48750]	Loss: 0.3477	LR: 0.004000
Training Epoch: 14 [7168/48750]	Loss: 0.3706	LR: 0.004000
Training Epoch: 14 [7424/48750]	Loss: 0.3202	LR: 0.004000
Training Epoch: 14 [7680/48750]	Loss: 0.3086	LR: 0.004000
Training Epoch: 14 [7936/48750]	Loss: 0.3158	LR: 0.004000
Training Epoch: 14 [8192/48750]	Loss: 0.3710	LR: 0.004000
Training Epoch: 14 [8448/48750]	Loss: 0.3266	LR: 0.004000
Training Epoch: 14 [8704/48750]	Loss: 0.2916	LR: 0.004000
Training Epoch: 14 [8960/48750]	Loss: 0.3054	LR: 0.004000
Training Epoch: 14 [9216/48750]	Loss: 0.3481	LR: 0.004000
Training Epoch: 14 [9472/48750]	Loss: 0.3002	LR: 0.004000
Training Epoch: 14 [9728/48750]	Loss: 0.4049	LR: 0.004000
Training Epoch: 14 [9984/48750]	Loss: 0.3043	LR: 0.004000
Training Epoch: 14 [10240/48750]	Loss: 0.2941	LR: 0.004000
Training Epoch: 14 [10496/48750]	Loss: 0.3272	LR: 0.004000
Training Epoch: 14 [10752/48750]	Loss: 0.2883	LR: 0.004000
Training Epoch: 14 [11008/48750]	Loss: 0.3383	LR: 0.004000
Training Epoch: 14 [11264/48750]	Loss: 0.3045	LR: 0.004000
Training Epoch: 14 [11520/48750]	Loss: 0.2897	LR: 0.004000
Training Epoch: 14 [11776/48750]	Loss: 0.3280	LR: 0.004000
Training Epoch: 14 [12032/48750]	Loss: 0.2746	LR: 0.004000
Training Epoch: 14 [12288/48750]	Loss: 0.3082	LR: 0.004000
Training Epoch: 14 [12544/48750]	Loss: 0.2759	LR: 0.004000
Training Epoch: 14 [12800/48750]	Loss: 0.2869	LR: 0.004000
Training Epoch: 14 [13056/48750]	Loss: 0.3357	LR: 0.004000
Training Epoch: 14 [13312/48750]	Loss: 0.4298	LR: 0.004000
Training Epoch: 14 [13568/48750]	Loss: 0.3453	LR: 0.004000
Training Epoch: 14 [13824/48750]	Loss: 0.3642	LR: 0.004000
Training Epoch: 14 [14080/48750]	Loss: 0.2800	LR: 0.004000
Training Epoch: 14 [14336/48750]	Loss: 0.2722	LR: 0.004000
Training Epoch: 14 [14592/48750]	Loss: 0.3119	LR: 0.004000
Training Epoch: 14 [14848/48750]	Loss: 0.2880	LR: 0.004000
Training Epoch: 14 [15104/48750]	Loss: 0.3229	LR: 0.004000
Training Epoch: 14 [15360/48750]	Loss: 0.3890	LR: 0.004000
Training Epoch: 14 [15616/48750]	Loss: 0.2857	LR: 0.004000
Training Epoch: 14 [15872/48750]	Loss: 0.2895	LR: 0.004000
Training Epoch: 14 [16128/48750]	Loss: 0.2713	LR: 0.004000
Training Epoch: 14 [16384/48750]	Loss: 0.3957	LR: 0.004000
Training Epoch: 14 [16640/48750]	Loss: 0.3296	LR: 0.004000
Training Epoch: 14 [16896/48750]	Loss: 0.2655	LR: 0.004000
Training Epoch: 14 [17152/48750]	Loss: 0.2612	LR: 0.004000
Training Epoch: 14 [17408/48750]	Loss: 0.3098	LR: 0.004000
Training Epoch: 14 [17664/48750]	Loss: 0.4050	LR: 0.004000
Training Epoch: 14 [17920/48750]	Loss: 0.3539	LR: 0.004000
Training Epoch: 14 [18176/48750]	Loss: 0.3030	LR: 0.004000
Training Epoch: 14 [18432/48750]	Loss: 0.2446	LR: 0.004000
Training Epoch: 14 [18688/48750]	Loss: 0.3618	LR: 0.004000
Training Epoch: 14 [18944/48750]	Loss: 0.3312	LR: 0.004000
Training Epoch: 14 [19200/48750]	Loss: 0.3388	LR: 0.004000
Training Epoch: 14 [19456/48750]	Loss: 0.3215	LR: 0.004000
Training Epoch: 14 [19712/48750]	Loss: 0.3414	LR: 0.004000
Training Epoch: 14 [19968/48750]	Loss: 0.3164	LR: 0.004000
Training Epoch: 14 [20224/48750]	Loss: 0.3008	LR: 0.004000
Training Epoch: 14 [20480/48750]	Loss: 0.2589	LR: 0.004000
Training Epoch: 14 [20736/48750]	Loss: 0.3417	LR: 0.004000
Training Epoch: 14 [20992/48750]	Loss: 0.4002	LR: 0.004000
Training Epoch: 14 [21248/48750]	Loss: 0.3756	LR: 0.004000
Training Epoch: 14 [21504/48750]	Loss: 0.3008	LR: 0.004000
Training Epoch: 14 [21760/48750]	Loss: 0.2819	LR: 0.004000
Training Epoch: 14 [22016/48750]	Loss: 0.3241	LR: 0.004000
Training Epoch: 14 [22272/48750]	Loss: 0.3261	LR: 0.004000
Training Epoch: 14 [22528/48750]	Loss: 0.3115	LR: 0.004000
Training Epoch: 14 [22784/48750]	Loss: 0.4325	LR: 0.004000
Training Epoch: 14 [23040/48750]	Loss: 0.3704	LR: 0.004000
Training Epoch: 14 [23296/48750]	Loss: 0.3634	LR: 0.004000
Training Epoch: 14 [23552/48750]	Loss: 0.3099	LR: 0.004000
Training Epoch: 14 [23808/48750]	Loss: 0.3319	LR: 0.004000
Training Epoch: 14 [24064/48750]	Loss: 0.3557	LR: 0.004000
Training Epoch: 14 [24320/48750]	Loss: 0.3295	LR: 0.004000
Training Epoch: 14 [24576/48750]	Loss: 0.3894	LR: 0.004000
Training Epoch: 14 [24832/48750]	Loss: 0.4752	LR: 0.004000
Training Epoch: 14 [25088/48750]	Loss: 0.2992	LR: 0.004000
Training Epoch: 14 [25344/48750]	Loss: 0.3126	LR: 0.004000
Training Epoch: 14 [25600/48750]	Loss: 0.3458	LR: 0.004000
Training Epoch: 14 [25856/48750]	Loss: 0.2458	LR: 0.004000
Training Epoch: 14 [26112/48750]	Loss: 0.3363	LR: 0.004000
Training Epoch: 14 [26368/48750]	Loss: 0.3275	LR: 0.004000
Training Epoch: 14 [26624/48750]	Loss: 0.3341	LR: 0.004000
Training Epoch: 14 [26880/48750]	Loss: 0.2585	LR: 0.004000
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Training Epoch: 14 [45056/48750]	Loss: 0.2947	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.3160	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.3409	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.3230	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.3894	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.2717	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3374	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3569	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.2918	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3932	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.3465	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2649	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3250	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2954	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2623	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.2506	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3313, Train Accuracy: 0.8867
Epoch 14 training time consumed: 27.14s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8748, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.3117	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.3186	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.3580	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.3956	LR: 0.004000
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Training Epoch: 15 [1536/48750]	Loss: 0.3392	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.2998	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.2767	LR: 0.004000
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Training Epoch: 15 [46592/48750]	Loss: 0.3229	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.3604	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.3047	LR: 0.004000
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Training Epoch: 15 [47616/48750]	Loss: 0.3359	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3104	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3222	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.3881	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3419	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.3067	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3272, Train Accuracy: 0.8876
Epoch 15 training time consumed: 27.19s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8749, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.3156	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.3591	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.3707	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.3115	LR: 0.000800
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Training Epoch: 16 [46336/48750]	Loss: 0.3251	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.3180	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.3293	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.3520	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.3267	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3775	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.3620	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3145, Train Accuracy: 0.8930
Epoch 16 training time consumed: 27.10s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8765, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.3446	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.3062	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2499	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.3366	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.3762	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.3484	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2592	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2880	LR: 0.000800
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Training Epoch: 17 [3328/48750]	Loss: 0.3398	LR: 0.000800
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Training Epoch: 17 [3840/48750]	Loss: 0.3248	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.3253	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2511	LR: 0.000800
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Training Epoch: 17 [5632/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2873	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2880	LR: 0.000800
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Training Epoch: 17 [8448/48750]	Loss: 0.3513	LR: 0.000800
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Training Epoch: 17 [10496/48750]	Loss: 0.3411	LR: 0.000800
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Training Epoch: 17 [11008/48750]	Loss: 0.2751	LR: 0.000800
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Training Epoch: 17 [24576/48750]	Loss: 0.2560	LR: 0.000800
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Training Epoch: 17 [25088/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.3457	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.3576	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.2502	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.3065	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.3167	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.3551	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.4314	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.3634	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.3076	LR: 0.000800
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Training Epoch: 17 [28928/48750]	Loss: 0.2364	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.3258	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.2487	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.3232	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.3063	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.2395	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.3864	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.3350	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.3298	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2953	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2408	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2372	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2283	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.2566	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.3567	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.3572	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2173	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.3604	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.3026	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.4208	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.3194	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.3413	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.3131	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.3330	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.3599	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.3104	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.2641	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.3978	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.3349	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.3278	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.2942	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.3147	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.4067	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2079	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.3441	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.3617	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.3573	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.3224	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.3212	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.3426	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.3576	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.4025	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.3156	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.3772	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.3493	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2817	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.3062	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2620	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3083, Train Accuracy: 0.8951
Epoch 17 training time consumed: 27.06s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8764, Time consumed:1.01s
Training Epoch: 18 [256/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.3099	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.3929	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3985	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.3496	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.3602	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.3527	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.3309	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.3397	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.3718	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.3445	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.3458	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.3398	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.3152	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.3366	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.3532	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.3172	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.3262	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.3475	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.3167	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.2911	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.3068	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2516	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.3049	LR: 0.000800
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Training Epoch: 18 [13824/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2300	LR: 0.000800
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Training Epoch: 18 [14592/48750]	Loss: 0.3172	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.3499	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.3568	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.3280	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.3721	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2202	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.3347	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.3376	LR: 0.000800
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Training Epoch: 18 [18432/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.3068	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.2422	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.3381	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.3493	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.3399	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2604	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.3147	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.3211	LR: 0.000800
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Training Epoch: 18 [24832/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.3337	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.3976	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.2795	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.3459	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.3522	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.3093	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.3522	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.3320	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.3643	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.3633	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.3005	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.3018	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.3756	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.3636	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2799	LR: 0.000800
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Training Epoch: 18 [32256/48750]	Loss: 0.3133	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2167	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.3324	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.3311	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.3514	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.2445	LR: 0.000800
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Training Epoch: 18 [35328/48750]	Loss: 0.2964	LR: 0.000800
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Training Epoch: 18 [35840/48750]	Loss: 0.3583	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.3599	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.3576	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.2390	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2880	LR: 0.000800
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Training Epoch: 18 [38656/48750]	Loss: 0.2924	LR: 0.000800
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Training Epoch: 18 [40192/48750]	Loss: 0.3444	LR: 0.000800
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Training Epoch: 18 [40704/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.2848	LR: 0.000800
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Training Epoch: 18 [42240/48750]	Loss: 0.3362	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.3848	LR: 0.000800
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Training Epoch: 18 [43008/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.3916	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.2623	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2547	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.3316	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.3633	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.2379	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.3774	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.3046	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.3956	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.3677	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2926	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3061, Train Accuracy: 0.8974
Epoch 18 training time consumed: 27.57s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8791, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_41m_35s/AllCNN-Cifar10-seed8-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2880	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.3566	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.3788	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.3503	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.3636	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2942	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.3242	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.3175	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.3116	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2324	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.3080	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.3678	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.3290	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.3172	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.3165	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.3694	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.3707	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.3219	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2688	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2211	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.3096	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.3060	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3433	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.3103	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.3375	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.3217	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2045	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.3122	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.4264	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.3447	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2923	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.3042	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3339	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2905	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.3209	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2873	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.3129	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.3364	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.3867	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.3748	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.3432	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.3540	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2065	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.3124	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3376	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.3104	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.3362	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3157	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.3225	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2604	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.3013	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.3652	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.3279	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2658	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2328	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.3393	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.3265	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.3046	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.3385	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3566	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.3120	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.3820	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.3368	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.3891	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.3973	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.3299	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3191	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.4116	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.3289	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.3272	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.3192	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.2167	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.2286	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.3602	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2380	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.3187	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.3335	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.3517	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2966	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2025	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.2371	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.3670	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.3147	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.3816	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.3841	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.3252	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3091	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2271	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.3267	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.3308	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.3290	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.3515	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2182	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.4287	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.3123	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.3585	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.3490	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.3447	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.3516	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.3364	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2531	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2817	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.3591	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.3257	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.3923	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.4140	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.3400	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2329	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.3217	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.3429	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3054, Train Accuracy: 0.8962
Epoch 19 training time consumed: 27.22s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8782, Time consumed:0.96s
Training Epoch: 20 [256/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.3119	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.3979	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.3250	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.3701	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.3284	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.3313	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.3301	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.3243	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.3991	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.3006	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.3736	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.3870	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.4082	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.3617	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.3543	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2987	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.3675	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.3148	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.3431	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.3284	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2658	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.3455	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2763	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2791	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.3643	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2321	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2160	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.3615	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2575	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.3148	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2306	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.3300	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.3610	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.3123	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.3559	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.3089	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.3611	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.4127	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.3229	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.3408	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2998	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.3490	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.3269	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.3292	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.3119	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.3618	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.3259	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2054	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.3347	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.3512	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.3315	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2485	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.3063	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.4134	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.2641	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.3109	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.3319	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.3068	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.2265	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.3321	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.1980	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.3380	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.3399	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.3370	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.2970	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.3559	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.3571	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.3529	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.3108	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.3134	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.3287	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.3187	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.3441	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.2880	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.3013	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2668	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.3584	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2479	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.3571	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.3125	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.3001	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.3573	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.3429	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.3237	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.3384	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.3489	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.3034	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2785	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3151	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.3020	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.3951	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.3527	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.3351	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.3083	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2873	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.3422	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.3351	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.3343	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.4170	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.3629	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.3259	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2317	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.4756	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.3354	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2596	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3047, Train Accuracy: 0.8955
Epoch 20 training time consumed: 27.14s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8780, Time consumed:0.97s
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: 87.79296875
Retain Accuracy: 89.93109893798828
Zero-Retain Forget (ZRF): 0.8550302982330322
Membership Inference Attack (MIA): 0.5696
Forget vs Retain Membership Inference Attack (MIA): 0.514
Forget vs Test Membership Inference Attack (MIA): 0.544
Test vs Retain Membership Inference Attack (MIA): 0.49975
Train vs Test Membership Inference Attack (MIA): 0.5175
Forget Set Accuracy (Df): 86.91233825683594
Method Execution Time: 1065.99 seconds
