hello
hello

📌 Retain class distribution for seed 6:
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 6:
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: 2.3306	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3120	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3105	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3260	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3242	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2892	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2811	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2638	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2756	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2584	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2498	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2296	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.2016	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1765	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1778	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.1322	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.1289	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0995	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.0907	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.1014	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 2.0996	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0231	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 2.0470	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 2.0371	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 2.0003	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.9633	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9751	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.9421	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9199	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9840	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9650	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8925	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.9446	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8827	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8671	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8558	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8143	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8301	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8361	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7647	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7931	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7869	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8235	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7400	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7916	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.6627	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7896	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.8044	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.7200	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7062	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7487	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6889	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7389	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6353	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7046	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6903	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.6764	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7327	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6126	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6988	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7909	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7850	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7732	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7168	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.5757	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7098	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6710	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6715	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.7531	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6239	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6715	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.6576	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.6443	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.6902	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6307	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6734	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.7185	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.5654	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6902	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6228	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6052	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.6310	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.5997	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.6365	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6538	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.6026	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.5899	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.5484	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5513	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5752	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5268	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6111	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6368	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.6046	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.4838	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.6172	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5276	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.6164	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6287	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5550	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.4419	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.5340	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.6295	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.5351	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5243	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.5214	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.5728	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.4903	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.4828	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.5685	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5326	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.4935	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.7565	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5397	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4788	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.4960	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5288	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.5186	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.4953	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5162	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.5905	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.5105	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.5551	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.4781	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.6164	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.5235	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.5539	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.4155	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.4525	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.5906	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.5512	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.5675	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5185	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.5442	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.4291	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.5118	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.5242	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.5080	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.4840	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.3609	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.5311	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.6348	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.4078	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.3964	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.4692	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.4425	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4366	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.4712	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.4187	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.5551	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4669	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.4342	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.5114	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.3424	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4629	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.4983	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.4603	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4125	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.3070	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.5308	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.4710	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.3188	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4093	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4926	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.2413	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.4277	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3748	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.3844	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4120	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3353	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.3475	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.4028	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3337	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3577	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.4263	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.4153	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.2817	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3431	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.3558	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.2552	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.2921	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3035	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.1821	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.2770	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4199	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3957	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.4403	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.2116	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.4173	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.3925	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.4932	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6525, Train Accuracy: 0.3880
Epoch 1 training time consumed: 27.90s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0059, Accuracy: 0.4749, Time consumed:1.06s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.3863	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.4961	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.4570	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.4578	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.3428	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.3994	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.3963	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4735	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.4341	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.2809	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.4567	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3788	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.2646	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.1839	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.1971	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.2810	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.2273	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.3370	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.2051	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.2927	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3235	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.3185	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.2290	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.4335	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3337	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.3054	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2934	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.2215	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3010	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.3422	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.1836	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.2662	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.2304	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2953	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.3034	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.3647	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.2335	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2988	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.3010	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.3093	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2570	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.3201	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.2109	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.1261	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.1328	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2569	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.3442	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.1713	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.2276	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2645	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.1971	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2395	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2570	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2577	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1855	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2844	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2711	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.2653	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.2312	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.3116	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.3270	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.1875	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.1956	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.1838	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2690	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2371	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.1613	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2450	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2100	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1911	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.1777	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1969	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2877	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.3528	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.2621	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1473	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.1617	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1388	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.1410	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1828	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.1954	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1077	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.1090	LR: 0.100000
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Training Epoch: 2 [48750/48750]	Loss: 1.2215	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1865, Train Accuracy: 0.5732
Epoch 2 training time consumed: 27.01s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0048, Accuracy: 0.5706, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.2207	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.9356	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.9072	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.8727	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9781, Train Accuracy: 0.6552
Epoch 3 training time consumed: 27.19s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0044, Accuracy: 0.6371, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9684	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.8782	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8584, Train Accuracy: 0.6988
Epoch 4 training time consumed: 27.05s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0042, Accuracy: 0.6373, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.8336	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.7930	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7586, Train Accuracy: 0.7346
Epoch 5 training time consumed: 27.18s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0031, Accuracy: 0.7255, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.7057	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.6874	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6903, Train Accuracy: 0.7587
Epoch 6 training time consumed: 27.09s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0030, Accuracy: 0.7412, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.6828	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.5723	LR: 0.100000
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Training Epoch: 7 [48750/48750]	Loss: 0.5577	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6290, Train Accuracy: 0.7801
Epoch 7 training time consumed: 27.10s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0028, Accuracy: 0.7618, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.6091	LR: 0.020000
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Training Epoch: 8 [28160/48750]	Loss: 0.5249	LR: 0.020000
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Training Epoch: 8 [45312/48750]	Loss: 0.4523	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4564	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.5057	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.4347	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4488	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4565	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4917	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4427	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4060	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4275	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4377	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4915	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4329	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.5047	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.6676	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4835, Train Accuracy: 0.8331
Epoch 8 training time consumed: 26.96s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8424, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4532	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.5225	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4126	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4046	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.3802	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.4099	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3888	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4777	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4272	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.4188	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4811	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.3896	LR: 0.020000
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Training Epoch: 9 [46592/48750]	Loss: 0.4736	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.4226	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4556	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4116	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4181	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4151	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4281	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4565	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3972	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3669	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4372, Train Accuracy: 0.8485
Epoch 9 training time consumed: 27.17s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8499, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3040	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3787	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.3978	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3368	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.4831	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.4124	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3264	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.4558	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3373	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.5408	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.3446	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.4070	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.4307	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.3874	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.4656	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.5570	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.3918	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.4054	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.3380	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.4129	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.4242	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.4747	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.3880	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.4213	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.4361	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.4492	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.4674	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.4346	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.3881	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.3710	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.3974	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.3400	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.5152	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.4526	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.3948	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.4579	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.4340	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.4179	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.4022	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.4163	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.4471	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.3600	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.4571	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.4122	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.3909	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.4705	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.4463	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.5052	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.4134	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3777	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.4790	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.4118	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.4335	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.4786	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.4840	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.4756	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.3377	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.4424	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.3834	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.3353	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.4530	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.4386	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.3762	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.4554	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.3375	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.4992	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.3608	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.3872	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.4220	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.3603	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.3865	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.4723	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.3558	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.4694	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.4781	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.4700	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.4082	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.3364	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.3292	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.3731	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.4877	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.4746	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.3884	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.4204	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.3603	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.3771	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.3955	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.3761	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.4905	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.4298	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.4150	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.4046	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.3958	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.4441	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.2748	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.4428	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.3555	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.3892	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.4783	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.3240	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.3775	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.4619	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.4226	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.4308	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.4004	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.3118	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.4423	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.4748	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.4366	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.4395	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.4394	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.4178	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.3100	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.3977	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.3050	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.3577	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.4200	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.3935	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.4794	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.4956	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.4376	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.4169	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.4486	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.4259	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.4867	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.4472	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.4440	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.3815	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.3784	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.3041	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.4735	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.4549	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.3885	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.3252	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.4014	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.3677	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.4278	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.4395	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.3530	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.3937	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.3880	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.4821	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.4788	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.3428	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.3675	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.4064	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.4673	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.3250	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.4022	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.3885	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.3449	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.4243	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.3810	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.4083	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.4278	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.5122	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.3995	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.6175	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.4245	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.4555	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.4376	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.5197	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.3764	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.2891	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.5185	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.4009	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.4574	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.4854	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.4919	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.4011	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.4433	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.3543	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.4014	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.4294	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.4869	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.4794	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.4535	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.3411	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.4278	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.4010	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.4839	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.3903	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.3797	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.4461	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.3634	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.4894	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.3964	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4542	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.4287	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.4351	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4164, Train Accuracy: 0.8554
Epoch 10 training time consumed: 27.04s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8487, Time consumed:0.93s
Training Epoch: 11 [256/48750]	Loss: 0.4640	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3505	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3804	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.3915	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.4269	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.4862	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.4310	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.3560	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.4102	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.3847	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.4200	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.4245	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.3578	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3419	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.3418	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.4050	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.4304	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3097	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.3440	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.3316	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.4321	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.4597	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.4185	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.3756	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.3458	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.5014	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.3811	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.3156	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.4145	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3676	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.4278	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3506	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.3904	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.3840	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.3768	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.3969	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.4296	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.3637	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.4265	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.3627	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.3370	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.4869	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3082	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.4002	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.4038	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.3969	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.3399	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.3667	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.4210	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.3916	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.3762	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.4232	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.3714	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.4087	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.4537	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.4413	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.4894	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.3618	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.4168	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.4014	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.4282	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.4740	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.4235	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3429	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.4825	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.4279	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.4526	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.4010	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.3637	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.4467	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.3995	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.3022	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.2953	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.3430	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.2666	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.3518	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.3957	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.4091	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.3928	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.3312	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.3367	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.3951	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.3336	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.3896	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.4546	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.3618	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.4087	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.3744	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.3236	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.4896	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.4730	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.4357	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.3847	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.4011	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.3368	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3819	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.4097	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.3596	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.3856	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.4477	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.3443	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.4860	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.5304	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.4272	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.3818	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.4635	LR: 0.020000
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Training Epoch: 11 [32256/48750]	Loss: 0.3957	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3511	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3927	LR: 0.020000
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Training Epoch: 11 [45056/48750]	Loss: 0.3196	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.4406	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3597	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3639	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.4090	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3718	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3943	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.4021	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.4678	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.4248	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.4067	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3787	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3651	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.4865	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4026	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.5740	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3976, Train Accuracy: 0.8626
Epoch 11 training time consumed: 27.01s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8503, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3458	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.4362	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3252	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.4297	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3224	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3802	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3464	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3976	LR: 0.004000
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Training Epoch: 12 [2560/48750]	Loss: 0.4216	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3591	LR: 0.004000
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Training Epoch: 12 [3584/48750]	Loss: 0.3819	LR: 0.004000
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Training Epoch: 12 [4352/48750]	Loss: 0.3379	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.2524	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3539	LR: 0.004000
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Training Epoch: 12 [46336/48750]	Loss: 0.3852	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3639	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.2740	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3737	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.2667	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3318	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3486	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3242	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3385	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2837	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.5135	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3499, Train Accuracy: 0.8802
Epoch 12 training time consumed: 27.06s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8695, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.2981	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3247	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3176	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3118	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.3598	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.2999	LR: 0.004000
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Training Epoch: 13 [48128/48750]	Loss: 0.2716	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.3154	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.2835	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.3893	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3366, Train Accuracy: 0.8838
Epoch 13 training time consumed: 27.09s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8726, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3141	LR: 0.004000
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Training Epoch: 14 [1536/48750]	Loss: 0.2633	LR: 0.004000
Training Epoch: 14 [1792/48750]	Loss: 0.3703	LR: 0.004000
Training Epoch: 14 [2048/48750]	Loss: 0.3256	LR: 0.004000
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Training Epoch: 14 [25600/48750]	Loss: 0.4296	LR: 0.004000
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Training Epoch: 14 [45568/48750]	Loss: 0.3695	LR: 0.004000
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Training Epoch: 14 [46080/48750]	Loss: 0.3745	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3280	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3161	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2807	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3017	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3038	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.3309	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.4396	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2704	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3311	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.3666	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3684	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3320, Train Accuracy: 0.8868
Epoch 14 training time consumed: 27.15s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8730, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.2887	LR: 0.004000
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Training Epoch: 15 [47104/48750]	Loss: 0.2610	LR: 0.004000
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Training Epoch: 15 [47616/48750]	Loss: 0.3564	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3507	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3276	LR: 0.004000
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Training Epoch: 15 [48640/48750]	Loss: 0.2844	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.4058	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3216, Train Accuracy: 0.8895
Epoch 15 training time consumed: 27.06s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8732, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.3311	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.3284	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.3497	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.3967	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.3952	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.3275	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.3109	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.3139	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.2073	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.2598	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.4219	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.3408	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.3485	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.2931	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.3006	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.2867	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.3066	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.3374	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.3035	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.3096	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.3178	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.3518	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.3457	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.3546	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.3308	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.3529	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.3893	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.2156	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.3062	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.2881	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.4090	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.3046	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.3169	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.3403	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.1950	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.3169	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.3244	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.3703	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.3748	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.3560	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.3101	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.3323	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.3398	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.3433	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.3374	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.4122	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.3322	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.3276	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.3665	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.2598	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.2267	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.3741	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.3624	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.3293	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.2559	LR: 0.000800
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Training Epoch: 16 [25088/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.2618	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.3348	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.3333	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.3303	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.3472	LR: 0.000800
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Training Epoch: 16 [27392/48750]	Loss: 0.3296	LR: 0.000800
Training Epoch: 16 [27648/48750]	Loss: 0.3475	LR: 0.000800
Training Epoch: 16 [27904/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.3636	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.3894	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.3844	LR: 0.000800
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Training Epoch: 16 [29440/48750]	Loss: 0.2856	LR: 0.000800
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Training Epoch: 16 [29952/48750]	Loss: 0.3567	LR: 0.000800
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Training Epoch: 16 [32768/48750]	Loss: 0.2881	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.2970	LR: 0.000800
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Training Epoch: 16 [35328/48750]	Loss: 0.2409	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.2668	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.3641	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.2324	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.3581	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.3204	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.3108	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.2867	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.3098	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.3450	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 16 [39680/48750]	Loss: 0.3301	LR: 0.000800
Training Epoch: 16 [39936/48750]	Loss: 0.2883	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.3317	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.4100	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.3560	LR: 0.000800
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Training Epoch: 16 [41472/48750]	Loss: 0.3236	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.2416	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.2977	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.3642	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.3513	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.4097	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.4038	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.3198	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2942	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.3781	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2745	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3107, Train Accuracy: 0.8943
Epoch 16 training time consumed: 27.14s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8785, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.3898	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.3062	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.3189	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.3298	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.3011	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.3186	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.3342	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.4518	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.3175	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.3511	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.3548	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.3368	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.3332	LR: 0.000800
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Training Epoch: 17 [7168/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.3400	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.3901	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.3441	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.3702	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.3351	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.3479	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.3204	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.3536	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.3447	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.3297	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.3138	LR: 0.000800
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Training Epoch: 17 [12800/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 17 [13056/48750]	Loss: 0.3557	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.3300	LR: 0.000800
Training Epoch: 17 [14080/48750]	Loss: 0.3211	LR: 0.000800
Training Epoch: 17 [14336/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 17 [14592/48750]	Loss: 0.3311	LR: 0.000800
Training Epoch: 17 [14848/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 17 [15104/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.3011	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.3396	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.3100	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.3172	LR: 0.000800
Training Epoch: 17 [16384/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 17 [16640/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.4741	LR: 0.000800
Training Epoch: 17 [17152/48750]	Loss: 0.3712	LR: 0.000800
Training Epoch: 17 [17408/48750]	Loss: 0.3047	LR: 0.000800
Training Epoch: 17 [17664/48750]	Loss: 0.3138	LR: 0.000800
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Training Epoch: 17 [18176/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.2531	LR: 0.000800
Training Epoch: 17 [19200/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.2404	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.3308	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.2350	LR: 0.000800
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Training Epoch: 17 [22016/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.3669	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.2978	LR: 0.000800
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Training Epoch: 17 [23040/48750]	Loss: 0.3490	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 17 [24064/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 17 [24320/48750]	Loss: 0.3843	LR: 0.000800
Training Epoch: 17 [24576/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.3133	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.3371	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.3173	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.3459	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.3390	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.3101	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.3067	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.3953	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.3409	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.3296	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.3156	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.3443	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.3518	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.3680	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.2198	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.3106	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.3565	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.3489	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.3705	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.3579	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.3542	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.3278	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.3443	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.2546	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.3100	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.3566	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.4379	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.3870	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.3780	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.3644	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.3904	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.3522	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2432	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.3317	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.3180	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.3256	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.3457	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.3541	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.3395	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.3713	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.3290	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.3794	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2741	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2586	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3083, Train Accuracy: 0.8947
Epoch 17 training time consumed: 26.93s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8779, Time consumed:0.93s
Training Epoch: 18 [256/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2635	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.3003	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3341	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.3397	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.3283	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2881	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2897	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.3283	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.3242	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.3020	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.2987	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.3772	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.3511	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2516	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.3388	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.3233	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2867	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2854	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.3368	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.3268	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.3161	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.3192	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.3156	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.3398	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.3034	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.3898	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.2547	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2333	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.2932	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.2134	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.3733	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.3133	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.4349	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.3956	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.3545	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.3585	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2641	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.3441	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.3312	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.3477	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.3301	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.3251	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.3565	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.3894	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.3363	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.3247	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.3251	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.2906	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.3018	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.3562	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.3272	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.3369	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.3345	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.4151	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.3589	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.3056	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.3704	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.4199	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.3086	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.3694	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.3471	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.3474	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.3386	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.3391	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.3359	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.4201	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.3653	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.3464	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2624	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.3426	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.3398	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.3383	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.3372	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.3513	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 18 [39168/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.3630	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.3371	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.3012	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.3288	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.3026	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.3370	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.3134	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.3835	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.3026	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.3581	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.3590	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.3195	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.3175	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.3549	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.3504	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.3501	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.4538	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3054, Train Accuracy: 0.8960
Epoch 18 training time consumed: 27.49s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8778, Time consumed:0.94s
Training Epoch: 19 [256/48750]	Loss: 0.3298	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2479	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2765	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.3408	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3164	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.3342	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.3420	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.3325	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.3096	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.3837	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.3068	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.3315	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2383	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.3347	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.3097	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.3300	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.3424	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.3508	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.3108	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.3331	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.3317	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2566	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.3341	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.3062	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2567	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2416	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.3274	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2962	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.3416	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.3538	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2486	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.3511	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2941	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.3527	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2983	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2990	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3609	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.3806	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3136	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.3631	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.3063	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.3217	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.4109	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.3176	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2408	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.3259	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.3184	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.3774	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.3067	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.3357	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.3720	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.3348	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.3020	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3679	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.3296	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.3861	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.3239	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.3633	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.3403	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.3147	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.3255	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.3222	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.4302	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2658	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2257	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.3748	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.3213	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.3998	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.3064	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.3470	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.3651	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.3283	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.3229	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.3083	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.3496	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.3642	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.3487	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.3220	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.3267	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.1865	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2787	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.3617	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.3058	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2857	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.3120	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.3164	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2184	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.3034	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.3136	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.3560	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2623	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.3003	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.3346	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.3402	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2106	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.3657	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.3866	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.3147	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.3626	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.3212	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.3633	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.3155	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.3438	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.3055	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.3392	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.3616	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.3461	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.4397	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3045, Train Accuracy: 0.8961
Epoch 19 training time consumed: 27.20s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8785, Time consumed:0.99s
Training Epoch: 20 [256/48750]	Loss: 0.3356	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.3535	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.3310	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.3121	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3756	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.3450	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.3573	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.3790	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.3448	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.3283	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.3278	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2359	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2765	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.3420	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2430	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.3245	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.3342	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.3277	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.3486	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.3763	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.3159	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2507	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2522	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.3211	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.1956	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.3253	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2216	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.3692	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.3320	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.4313	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.3176	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2060	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.3484	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2994	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2833	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.3245	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.3180	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.3150	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.3127	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.3442	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2613	LR: 0.000800
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Training Epoch: 20 [29184/48750]	Loss: 0.3245	LR: 0.000800
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Training Epoch: 20 [32256/48750]	Loss: 0.3326	LR: 0.000800
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Training Epoch: 20 [41472/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.3288	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.3028	LR: 0.000800
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Training Epoch: 20 [43008/48750]	Loss: 0.2491	LR: 0.000800
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Training Epoch: 20 [43776/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.3011	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.3499	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2862	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.2741	LR: 0.000800
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Training Epoch: 20 [45312/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.3378	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.3420	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.3606	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.3219	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.3314	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3836	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2998, Train Accuracy: 0.8999
Epoch 20 training time consumed: 27.13s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8802, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_05m_26s/AllCNN-Cifar10-seed6-ret75-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 88.154296875
Retain Accuracy: 90.11727905273438
Zero-Retain Forget (ZRF): 0.8539119958877563
Membership Inference Attack (MIA): 0.4232
Forget vs Retain Membership Inference Attack (MIA): 0.508
Forget vs Test Membership Inference Attack (MIA): 0.58
Test vs Retain Membership Inference Attack (MIA): 0.5045
Train vs Test Membership Inference Attack (MIA): 0.51775
Forget Set Accuracy (Df): 87.43293762207031
Method Execution Time: 1061.68 seconds
