hello
hello

📌 Retain class distribution for seed 9:
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 9:
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: 2.3047	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3077	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3161	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.2993	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2934	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2922	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2969	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2755	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2649	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2666	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2320	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2393	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.2164	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1995	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1884	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.1586	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.1449	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.1817	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.1384	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.0814	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 2.0791	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0671	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.9975	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 2.0199	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9563	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 2.0023	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9725	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.9907	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9178	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9208	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9690	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8823	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.9058	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.9286	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.9373	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8167	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8496	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.9355	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8733	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.8410	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7760	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7358	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7782	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7391	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.8041	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.8177	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.8308	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7826	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.8100	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.6955	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.6750	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7555	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.6761	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6963	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.6028	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6145	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7182	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6551	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6838	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6906	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.6630	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6807	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.8316	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6685	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.7118	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7237	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.7217	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6642	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6445	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6553	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6732	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7335	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.5818	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.6796	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.7232	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6466	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.5736	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.7597	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.5923	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6314	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6983	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.6659	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.6218	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7235	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.5763	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.5857	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.5716	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.7310	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5213	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6252	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5818	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6819	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.4507	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.7181	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.6224	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.6417	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.6007	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.5570	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.5603	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.4542	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.5319	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6474	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.6177	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.4567	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5291	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.5094	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.4494	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5679	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.5368	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.4471	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5712	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.4818	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.6468	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.4973	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.5431	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5550	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5903	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.4518	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.5723	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.4605	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.6561	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.6494	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.4900	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.4796	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.5792	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.5396	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.4985	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.3975	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.4966	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.5711	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.4310	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4343	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5627	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.3435	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.5598	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.5985	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4056	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.5300	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.4261	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.3390	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.4040	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.4427	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.3436	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.4759	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.3791	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.4327	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.3573	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.3942	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.3205	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4009	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4170	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.4092	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.4277	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.2822	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4095	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.3849	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.3133	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.3282	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.3891	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4367	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.3021	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4088	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.3749	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4240	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4341	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.3312	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3535	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4263	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.3860	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3391	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.2565	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.4538	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3433	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3286	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.4039	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3460	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.4187	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3256	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4187	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.3311	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3039	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3722	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.2814	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3949	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.3439	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3366	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.3296	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.3810	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.2678	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.2812	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.3853	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6465, Train Accuracy: 0.3876
Epoch 1 training time consumed: 28.14s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0075, Accuracy: 0.4171, Time consumed:1.09s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_59m_39s/AllCNN-Cifar10-seed9-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.2470	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.4172	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.4167	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.3743	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4953	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.3806	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.2755	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4290	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.4145	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.3553	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.2585	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3162	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.2376	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.2197	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.3458	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3249	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.2401	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.3746	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.4770	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3711	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3581	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.3868	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.2539	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.2241	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.2063	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.1313	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2915	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3556	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3015	LR: 0.100000
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Training Epoch: 2 [7936/48750]	Loss: 1.3100	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3101	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.3702	LR: 0.100000
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Training Epoch: 2 [9728/48750]	Loss: 1.1989	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.3636	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.2468	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.1860	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2881	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.3279	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.1445	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.3455	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2811	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.3348	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.2204	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.1371	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2424	LR: 0.100000
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Training Epoch: 2 [13312/48750]	Loss: 1.0983	LR: 0.100000
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Training Epoch: 2 [13824/48750]	Loss: 1.2866	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1834	LR: 0.100000
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Training Epoch: 2 [14592/48750]	Loss: 1.2413	LR: 0.100000
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Training Epoch: 2 [15104/48750]	Loss: 1.2519	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2284	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.3239	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.3138	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2115	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2989	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2876	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2466	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.1969	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.0936	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2116	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2571	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.1749	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.2004	LR: 0.100000
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Training Epoch: 2 [18944/48750]	Loss: 1.0845	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.1972	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1422	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.2206	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1903	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.0967	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.3206	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.0577	LR: 0.100000
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Training Epoch: 2 [21248/48750]	Loss: 1.2254	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.9412	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.1362	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1781, Train Accuracy: 0.5743
Epoch 2 training time consumed: 27.19s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0061, Accuracy: 0.5179, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_59m_39s/AllCNN-Cifar10-seed9-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.0690	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.8805	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.8943	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.9753	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9721, Train Accuracy: 0.6568
Epoch 3 training time consumed: 27.21s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0050, Accuracy: 0.5795, Time consumed:1.03s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_59m_39s/AllCNN-Cifar10-seed9-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9090	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.7106	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8409, Train Accuracy: 0.7047
Epoch 4 training time consumed: 27.23s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7121, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_59m_39s/AllCNN-Cifar10-seed9-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.6731	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.7206	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7399, Train Accuracy: 0.7408
Epoch 5 training time consumed: 27.25s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0033, Accuracy: 0.7279, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_59m_39s/AllCNN-Cifar10-seed9-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.7337	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.6353	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6766, Train Accuracy: 0.7653
Epoch 6 training time consumed: 27.34s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0034, Accuracy: 0.7062, Time consumed:0.96s
Training Epoch: 7 [256/48750]	Loss: 0.5602	LR: 0.100000
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Training Epoch: 7 [1024/48750]	Loss: 0.7150	LR: 0.100000
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Training Epoch: 7 [2816/48750]	Loss: 0.5694	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.7326	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.6516	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.6158	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.5968	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.5177	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.5374	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.6767	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.7082	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.6006	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.6010	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.5717	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.7324	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.7453	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.5497	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.6448	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.5810	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.7339	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.6925	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.6500	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.6706	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.5837	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.7432	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.6041	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.6442	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.6551	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.6243	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.4832	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.5150	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.6238	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.5452	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.6835	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.6736	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.7581	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.5735	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.6111	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.7596	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.6229	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.5516	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.5668	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.5891	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.5421	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.5144	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.6142	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.6406	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.6469	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.6493	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.6273	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.7273	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.6675	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.5961	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.5848	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.5854	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.7071	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.6336	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.6527	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.6617	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.5998	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.6161	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.5721	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.5461	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.7261	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.6087	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.5544	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.5802	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.6567	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.5971	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.6392	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.6319	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.7361	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.6241	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.6145	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.6455	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.6817	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.6500	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.5848	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.5912	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5515	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.5925	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.4866	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.6179	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.5264	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.6359	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.6003	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.6667	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.4978	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.6528	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.6694	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.8148	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.4782	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.6502	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.6711	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.7620	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.4918	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.6550	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.7947	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.6453	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.6186	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.6798	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.6021	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.6721	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.5682	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.5885	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.7323	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.7241	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.6279	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.6085	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.6689	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.5300	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.5042	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.6627	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.5725	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.5457	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.5115	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.7292	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.6452	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.5723	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.6756	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.6407	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.6846	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.7742	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.5852	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.6277	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.6275	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.6302	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.5867	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.6840	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.6090	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.6134	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.7157	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.6559	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.6551	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.5830	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.6139	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.4757	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.6409	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.5803	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.5673	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.6442	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.5752	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.6394	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.5972	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.5952	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.5392	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.5101	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.6244	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.6265	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.4998	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.5485	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.6745	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.7010	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.6193	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.5956	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.5431	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.6928	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.6441	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.6440	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.6166	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.6311	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.6921	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.6133	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.6942	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.6509	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.6103	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.4531	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.6556	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.6910	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.5639	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.5923	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.6459	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.6642	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.6922	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.5559	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.6403	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.5371	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.5063	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.7383	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.6549	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.5979	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.6655	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.5861	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6227, Train Accuracy: 0.7858
Epoch 7 training time consumed: 27.21s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0035, Accuracy: 0.7069, Time consumed:0.93s
Training Epoch: 8 [256/48750]	Loss: 0.6212	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.5063	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.5586	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.6452	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.4827	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.5950	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.5924	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.5712	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.6246	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.5896	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.6517	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.5565	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.4933	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.5073	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.5124	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.4725	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.5192	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.4263	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.5254	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.5875	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.4487	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.4523	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.5144	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.5399	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.4644	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.5206	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.5139	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.5153	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.5472	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.4737	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.5238	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.4191	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.4640	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.6522	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.5205	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.5795	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.5150	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.4644	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.4770	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.5672	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.5474	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.4284	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.4686	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.5095	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.5080	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.4650	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.5719	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.5212	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.4920	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.3935	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.5316	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.4942	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.4499	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.4654	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.4917	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4364	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.4609	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4480	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.4474	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.6808	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.4302	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.5095	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.5214	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.4852	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.5565	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4859	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.4399	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.4101	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.4815	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.5023	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.4585	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.4324	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.5742	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.4448	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.4300	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.4223	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.5005	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.5555	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.4551	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.4621	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.4309	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.4113	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.4204	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.4107	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.4550	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.4659	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.4707	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.5306	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.5299	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.4278	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.4352	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.5591	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4065	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.4405	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.4296	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.4577	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.5117	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.4354	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.4917	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.4725	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.3912	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.4477	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.5819	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.4241	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.4321	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.4647	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.4610	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.4787	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.4987	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.4729	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.5475	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.5122	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.4289	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.4581	LR: 0.020000
Training Epoch: 8 [29440/48750]	Loss: 0.4085	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.3965	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.3965	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4703	LR: 0.020000
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Training Epoch: 8 [46080/48750]	Loss: 0.3926	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.5053	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4731	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4666	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4840	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4509	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.5121	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.3819	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4587	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.5911	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4059	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.6927	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4790, Train Accuracy: 0.8355
Epoch 8 training time consumed: 27.17s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8422, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_59m_39s/AllCNN-Cifar10-seed9-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4150	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4781	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4314	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4147	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.3654	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.3952	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4404	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4723	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.3560	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.4902	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.5188	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.4629	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.4311	LR: 0.020000
Training Epoch: 9 [3584/48750]	Loss: 0.3647	LR: 0.020000
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Training Epoch: 9 [4352/48750]	Loss: 0.4758	LR: 0.020000
Training Epoch: 9 [4608/48750]	Loss: 0.3769	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.3580	LR: 0.020000
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Training Epoch: 9 [45824/48750]	Loss: 0.3665	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.4073	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.4472	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.4027	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.4114	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4255	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.3997	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.3933	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4404	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4728	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4994	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.4782	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3115	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4370, Train Accuracy: 0.8489
Epoch 9 training time consumed: 27.19s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8457, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_59m_39s/AllCNN-Cifar10-seed9-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3979	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.4326	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4874	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.5600	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.4309	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.4744	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4010	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.5300	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.4883	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4419	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.3848	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.4254	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.5041	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.4218	LR: 0.020000
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Training Epoch: 10 [48128/48750]	Loss: 0.3898	LR: 0.020000
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Training Epoch: 10 [48640/48750]	Loss: 0.3099	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.5402	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4137, Train Accuracy: 0.8586
Epoch 10 training time consumed: 27.15s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8461, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_59m_39s/AllCNN-Cifar10-seed9-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.4208	LR: 0.020000
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Training Epoch: 11 [768/48750]	Loss: 0.3589	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.3507	LR: 0.020000
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Training Epoch: 11 [27648/48750]	Loss: 0.3934	LR: 0.020000
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Training Epoch: 11 [32256/48750]	Loss: 0.5216	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3757	LR: 0.020000
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Training Epoch: 11 [44032/48750]	Loss: 0.4036	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3846	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.4228	LR: 0.020000
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Training Epoch: 11 [45056/48750]	Loss: 0.3410	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.4378	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3913	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.4175	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3934	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4647	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.4029	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3739	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3975	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.4012	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3603	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.2814	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3983	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.4060	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4863	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.5372	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4012, Train Accuracy: 0.8622
Epoch 11 training time consumed: 27.29s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8519, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_59m_39s/AllCNN-Cifar10-seed9-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.4321	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3338	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.4199	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.4230	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.4460	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.4163	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.4222	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3862	LR: 0.004000
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Training Epoch: 12 [2560/48750]	Loss: 0.4243	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3658	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.2769	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.4153	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3231	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.3850	LR: 0.004000
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Training Epoch: 12 [4608/48750]	Loss: 0.2905	LR: 0.004000
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Training Epoch: 12 [28416/48750]	Loss: 0.3529	LR: 0.004000
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Training Epoch: 12 [37888/48750]	Loss: 0.4338	LR: 0.004000
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Training Epoch: 12 [45312/48750]	Loss: 0.3884	LR: 0.004000
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Training Epoch: 12 [45824/48750]	Loss: 0.3104	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3030	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3663	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3469	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.4429	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.2437	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.2776	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3556	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3695	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3444	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3506	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3343	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3350	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3530, Train Accuracy: 0.8789
Epoch 12 training time consumed: 27.28s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8692, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_59m_39s/AllCNN-Cifar10-seed9-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3670	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.2561	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3556	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3363	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2845	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.2880	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.3340	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.3925	LR: 0.004000
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Training Epoch: 13 [48128/48750]	Loss: 0.2717	LR: 0.004000
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Training Epoch: 13 [48640/48750]	Loss: 0.2997	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.3782	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3385, Train Accuracy: 0.8862
Epoch 13 training time consumed: 27.09s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8778, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_59m_39s/AllCNN-Cifar10-seed9-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3208	LR: 0.004000
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Training Epoch: 14 [1792/48750]	Loss: 0.3591	LR: 0.004000
Training Epoch: 14 [2048/48750]	Loss: 0.3727	LR: 0.004000
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Training Epoch: 14 [26112/48750]	Loss: 0.3090	LR: 0.004000
Training Epoch: 14 [26368/48750]	Loss: 0.2948	LR: 0.004000
Training Epoch: 14 [26624/48750]	Loss: 0.3173	LR: 0.004000
Training Epoch: 14 [26880/48750]	Loss: 0.3993	LR: 0.004000
Training Epoch: 14 [27136/48750]	Loss: 0.3171	LR: 0.004000
Training Epoch: 14 [27392/48750]	Loss: 0.3766	LR: 0.004000
Training Epoch: 14 [27648/48750]	Loss: 0.3301	LR: 0.004000
Training Epoch: 14 [27904/48750]	Loss: 0.3704	LR: 0.004000
Training Epoch: 14 [28160/48750]	Loss: 0.2674	LR: 0.004000
Training Epoch: 14 [28416/48750]	Loss: 0.2559	LR: 0.004000
Training Epoch: 14 [28672/48750]	Loss: 0.3460	LR: 0.004000
Training Epoch: 14 [28928/48750]	Loss: 0.2507	LR: 0.004000
Training Epoch: 14 [29184/48750]	Loss: 0.3297	LR: 0.004000
Training Epoch: 14 [29440/48750]	Loss: 0.3221	LR: 0.004000
Training Epoch: 14 [29696/48750]	Loss: 0.2902	LR: 0.004000
Training Epoch: 14 [29952/48750]	Loss: 0.2989	LR: 0.004000
Training Epoch: 14 [30208/48750]	Loss: 0.3734	LR: 0.004000
Training Epoch: 14 [30464/48750]	Loss: 0.3484	LR: 0.004000
Training Epoch: 14 [30720/48750]	Loss: 0.2978	LR: 0.004000
Training Epoch: 14 [30976/48750]	Loss: 0.3497	LR: 0.004000
Training Epoch: 14 [31232/48750]	Loss: 0.2556	LR: 0.004000
Training Epoch: 14 [31488/48750]	Loss: 0.3079	LR: 0.004000
Training Epoch: 14 [31744/48750]	Loss: 0.3049	LR: 0.004000
Training Epoch: 14 [32000/48750]	Loss: 0.3830	LR: 0.004000
Training Epoch: 14 [32256/48750]	Loss: 0.3435	LR: 0.004000
Training Epoch: 14 [32512/48750]	Loss: 0.3014	LR: 0.004000
Training Epoch: 14 [32768/48750]	Loss: 0.2460	LR: 0.004000
Training Epoch: 14 [33024/48750]	Loss: 0.3380	LR: 0.004000
Training Epoch: 14 [33280/48750]	Loss: 0.3173	LR: 0.004000
Training Epoch: 14 [33536/48750]	Loss: 0.3631	LR: 0.004000
Training Epoch: 14 [33792/48750]	Loss: 0.3766	LR: 0.004000
Training Epoch: 14 [34048/48750]	Loss: 0.3548	LR: 0.004000
Training Epoch: 14 [34304/48750]	Loss: 0.3882	LR: 0.004000
Training Epoch: 14 [34560/48750]	Loss: 0.3824	LR: 0.004000
Training Epoch: 14 [34816/48750]	Loss: 0.3956	LR: 0.004000
Training Epoch: 14 [35072/48750]	Loss: 0.4231	LR: 0.004000
Training Epoch: 14 [35328/48750]	Loss: 0.3957	LR: 0.004000
Training Epoch: 14 [35584/48750]	Loss: 0.3629	LR: 0.004000
Training Epoch: 14 [35840/48750]	Loss: 0.3793	LR: 0.004000
Training Epoch: 14 [36096/48750]	Loss: 0.2693	LR: 0.004000
Training Epoch: 14 [36352/48750]	Loss: 0.4119	LR: 0.004000
Training Epoch: 14 [36608/48750]	Loss: 0.3892	LR: 0.004000
Training Epoch: 14 [36864/48750]	Loss: 0.3556	LR: 0.004000
Training Epoch: 14 [37120/48750]	Loss: 0.3598	LR: 0.004000
Training Epoch: 14 [37376/48750]	Loss: 0.3471	LR: 0.004000
Training Epoch: 14 [37632/48750]	Loss: 0.2812	LR: 0.004000
Training Epoch: 14 [37888/48750]	Loss: 0.2797	LR: 0.004000
Training Epoch: 14 [38144/48750]	Loss: 0.3318	LR: 0.004000
Training Epoch: 14 [38400/48750]	Loss: 0.2813	LR: 0.004000
Training Epoch: 14 [38656/48750]	Loss: 0.3210	LR: 0.004000
Training Epoch: 14 [38912/48750]	Loss: 0.3160	LR: 0.004000
Training Epoch: 14 [39168/48750]	Loss: 0.2794	LR: 0.004000
Training Epoch: 14 [39424/48750]	Loss: 0.3115	LR: 0.004000
Training Epoch: 14 [39680/48750]	Loss: 0.3628	LR: 0.004000
Training Epoch: 14 [39936/48750]	Loss: 0.3113	LR: 0.004000
Training Epoch: 14 [40192/48750]	Loss: 0.3258	LR: 0.004000
Training Epoch: 14 [40448/48750]	Loss: 0.3677	LR: 0.004000
Training Epoch: 14 [40704/48750]	Loss: 0.3215	LR: 0.004000
Training Epoch: 14 [40960/48750]	Loss: 0.2788	LR: 0.004000
Training Epoch: 14 [41216/48750]	Loss: 0.3367	LR: 0.004000
Training Epoch: 14 [41472/48750]	Loss: 0.3758	LR: 0.004000
Training Epoch: 14 [41728/48750]	Loss: 0.2843	LR: 0.004000
Training Epoch: 14 [41984/48750]	Loss: 0.3633	LR: 0.004000
Training Epoch: 14 [42240/48750]	Loss: 0.2690	LR: 0.004000
Training Epoch: 14 [42496/48750]	Loss: 0.4135	LR: 0.004000
Training Epoch: 14 [42752/48750]	Loss: 0.3451	LR: 0.004000
Training Epoch: 14 [43008/48750]	Loss: 0.2849	LR: 0.004000
Training Epoch: 14 [43264/48750]	Loss: 0.3077	LR: 0.004000
Training Epoch: 14 [43520/48750]	Loss: 0.3160	LR: 0.004000
Training Epoch: 14 [43776/48750]	Loss: 0.3583	LR: 0.004000
Training Epoch: 14 [44032/48750]	Loss: 0.3619	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.3401	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.3341	LR: 0.004000
Training Epoch: 14 [44800/48750]	Loss: 0.2899	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.3375	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2938	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2690	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.3256	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.4015	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3352	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3003	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3361	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3396	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3515	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.4064	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3643	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2179	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3300	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.3267	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3087	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3316, Train Accuracy: 0.8865
Epoch 14 training time consumed: 27.19s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8724, Time consumed:0.99s
Training Epoch: 15 [256/48750]	Loss: 0.3606	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2654	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2816	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.2546	LR: 0.004000
Training Epoch: 15 [1280/48750]	Loss: 0.3856	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.3195	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.3311	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.3351	LR: 0.004000
Training Epoch: 15 [2304/48750]	Loss: 0.3121	LR: 0.004000
Training Epoch: 15 [2560/48750]	Loss: 0.2910	LR: 0.004000
Training Epoch: 15 [2816/48750]	Loss: 0.3042	LR: 0.004000
Training Epoch: 15 [3072/48750]	Loss: 0.3346	LR: 0.004000
Training Epoch: 15 [3328/48750]	Loss: 0.2566	LR: 0.004000
Training Epoch: 15 [3584/48750]	Loss: 0.3699	LR: 0.004000
Training Epoch: 15 [3840/48750]	Loss: 0.2735	LR: 0.004000
Training Epoch: 15 [4096/48750]	Loss: 0.3475	LR: 0.004000
Training Epoch: 15 [4352/48750]	Loss: 0.3308	LR: 0.004000
Training Epoch: 15 [4608/48750]	Loss: 0.2647	LR: 0.004000
Training Epoch: 15 [4864/48750]	Loss: 0.3926	LR: 0.004000
Training Epoch: 15 [5120/48750]	Loss: 0.3477	LR: 0.004000
Training Epoch: 15 [5376/48750]	Loss: 0.3195	LR: 0.004000
Training Epoch: 15 [5632/48750]	Loss: 0.3680	LR: 0.004000
Training Epoch: 15 [5888/48750]	Loss: 0.4023	LR: 0.004000
Training Epoch: 15 [6144/48750]	Loss: 0.3425	LR: 0.004000
Training Epoch: 15 [6400/48750]	Loss: 0.2632	LR: 0.004000
Training Epoch: 15 [6656/48750]	Loss: 0.3373	LR: 0.004000
Training Epoch: 15 [6912/48750]	Loss: 0.3474	LR: 0.004000
Training Epoch: 15 [7168/48750]	Loss: 0.3374	LR: 0.004000
Training Epoch: 15 [7424/48750]	Loss: 0.3685	LR: 0.004000
Training Epoch: 15 [7680/48750]	Loss: 0.3544	LR: 0.004000
Training Epoch: 15 [7936/48750]	Loss: 0.2775	LR: 0.004000
Training Epoch: 15 [8192/48750]	Loss: 0.2666	LR: 0.004000
Training Epoch: 15 [8448/48750]	Loss: 0.2781	LR: 0.004000
Training Epoch: 15 [8704/48750]	Loss: 0.2728	LR: 0.004000
Training Epoch: 15 [8960/48750]	Loss: 0.3060	LR: 0.004000
Training Epoch: 15 [9216/48750]	Loss: 0.3434	LR: 0.004000
Training Epoch: 15 [9472/48750]	Loss: 0.3022	LR: 0.004000
Training Epoch: 15 [9728/48750]	Loss: 0.3352	LR: 0.004000
Training Epoch: 15 [9984/48750]	Loss: 0.2773	LR: 0.004000
Training Epoch: 15 [10240/48750]	Loss: 0.3534	LR: 0.004000
Training Epoch: 15 [10496/48750]	Loss: 0.2932	LR: 0.004000
Training Epoch: 15 [10752/48750]	Loss: 0.3331	LR: 0.004000
Training Epoch: 15 [11008/48750]	Loss: 0.3477	LR: 0.004000
Training Epoch: 15 [11264/48750]	Loss: 0.2501	LR: 0.004000
Training Epoch: 15 [11520/48750]	Loss: 0.3852	LR: 0.004000
Training Epoch: 15 [11776/48750]	Loss: 0.3077	LR: 0.004000
Training Epoch: 15 [12032/48750]	Loss: 0.4093	LR: 0.004000
Training Epoch: 15 [12288/48750]	Loss: 0.3231	LR: 0.004000
Training Epoch: 15 [12544/48750]	Loss: 0.3448	LR: 0.004000
Training Epoch: 15 [12800/48750]	Loss: 0.3277	LR: 0.004000
Training Epoch: 15 [13056/48750]	Loss: 0.3531	LR: 0.004000
Training Epoch: 15 [13312/48750]	Loss: 0.3535	LR: 0.004000
Training Epoch: 15 [13568/48750]	Loss: 0.2577	LR: 0.004000
Training Epoch: 15 [13824/48750]	Loss: 0.2899	LR: 0.004000
Training Epoch: 15 [14080/48750]	Loss: 0.2617	LR: 0.004000
Training Epoch: 15 [14336/48750]	Loss: 0.2874	LR: 0.004000
Training Epoch: 15 [14592/48750]	Loss: 0.3185	LR: 0.004000
Training Epoch: 15 [14848/48750]	Loss: 0.3240	LR: 0.004000
Training Epoch: 15 [15104/48750]	Loss: 0.2465	LR: 0.004000
Training Epoch: 15 [15360/48750]	Loss: 0.3366	LR: 0.004000
Training Epoch: 15 [15616/48750]	Loss: 0.3485	LR: 0.004000
Training Epoch: 15 [15872/48750]	Loss: 0.2830	LR: 0.004000
Training Epoch: 15 [16128/48750]	Loss: 0.3256	LR: 0.004000
Training Epoch: 15 [16384/48750]	Loss: 0.3471	LR: 0.004000
Training Epoch: 15 [16640/48750]	Loss: 0.2850	LR: 0.004000
Training Epoch: 15 [16896/48750]	Loss: 0.3342	LR: 0.004000
Training Epoch: 15 [17152/48750]	Loss: 0.3141	LR: 0.004000
Training Epoch: 15 [17408/48750]	Loss: 0.3241	LR: 0.004000
Training Epoch: 15 [17664/48750]	Loss: 0.2090	LR: 0.004000
Training Epoch: 15 [17920/48750]	Loss: 0.3165	LR: 0.004000
Training Epoch: 15 [18176/48750]	Loss: 0.3265	LR: 0.004000
Training Epoch: 15 [18432/48750]	Loss: 0.3273	LR: 0.004000
Training Epoch: 15 [18688/48750]	Loss: 0.2479	LR: 0.004000
Training Epoch: 15 [18944/48750]	Loss: 0.2728	LR: 0.004000
Training Epoch: 15 [19200/48750]	Loss: 0.3913	LR: 0.004000
Training Epoch: 15 [19456/48750]	Loss: 0.2908	LR: 0.004000
Training Epoch: 15 [19712/48750]	Loss: 0.2526	LR: 0.004000
Training Epoch: 15 [19968/48750]	Loss: 0.3271	LR: 0.004000
Training Epoch: 15 [20224/48750]	Loss: 0.3207	LR: 0.004000
Training Epoch: 15 [20480/48750]	Loss: 0.3250	LR: 0.004000
Training Epoch: 15 [20736/48750]	Loss: 0.2992	LR: 0.004000
Training Epoch: 15 [20992/48750]	Loss: 0.3698	LR: 0.004000
Training Epoch: 15 [21248/48750]	Loss: 0.3501	LR: 0.004000
Training Epoch: 15 [21504/48750]	Loss: 0.3317	LR: 0.004000
Training Epoch: 15 [21760/48750]	Loss: 0.2898	LR: 0.004000
Training Epoch: 15 [22016/48750]	Loss: 0.3891	LR: 0.004000
Training Epoch: 15 [22272/48750]	Loss: 0.3305	LR: 0.004000
Training Epoch: 15 [22528/48750]	Loss: 0.3392	LR: 0.004000
Training Epoch: 15 [22784/48750]	Loss: 0.3109	LR: 0.004000
Training Epoch: 15 [23040/48750]	Loss: 0.3552	LR: 0.004000
Training Epoch: 15 [23296/48750]	Loss: 0.3585	LR: 0.004000
Training Epoch: 15 [23552/48750]	Loss: 0.3003	LR: 0.004000
Training Epoch: 15 [23808/48750]	Loss: 0.4378	LR: 0.004000
Training Epoch: 15 [24064/48750]	Loss: 0.3391	LR: 0.004000
Training Epoch: 15 [24320/48750]	Loss: 0.3942	LR: 0.004000
Training Epoch: 15 [24576/48750]	Loss: 0.3865	LR: 0.004000
Training Epoch: 15 [24832/48750]	Loss: 0.3228	LR: 0.004000
Training Epoch: 15 [25088/48750]	Loss: 0.3104	LR: 0.004000
Training Epoch: 15 [25344/48750]	Loss: 0.2741	LR: 0.004000
Training Epoch: 15 [25600/48750]	Loss: 0.3093	LR: 0.004000
Training Epoch: 15 [25856/48750]	Loss: 0.2648	LR: 0.004000
Training Epoch: 15 [26112/48750]	Loss: 0.2798	LR: 0.004000
Training Epoch: 15 [26368/48750]	Loss: 0.3442	LR: 0.004000
Training Epoch: 15 [26624/48750]	Loss: 0.3890	LR: 0.004000
Training Epoch: 15 [26880/48750]	Loss: 0.3243	LR: 0.004000
Training Epoch: 15 [27136/48750]	Loss: 0.3257	LR: 0.004000
Training Epoch: 15 [27392/48750]	Loss: 0.2813	LR: 0.004000
Training Epoch: 15 [27648/48750]	Loss: 0.3382	LR: 0.004000
Training Epoch: 15 [27904/48750]	Loss: 0.2942	LR: 0.004000
Training Epoch: 15 [28160/48750]	Loss: 0.2977	LR: 0.004000
Training Epoch: 15 [28416/48750]	Loss: 0.3408	LR: 0.004000
Training Epoch: 15 [28672/48750]	Loss: 0.3008	LR: 0.004000
Training Epoch: 15 [28928/48750]	Loss: 0.3477	LR: 0.004000
Training Epoch: 15 [29184/48750]	Loss: 0.2693	LR: 0.004000
Training Epoch: 15 [29440/48750]	Loss: 0.3171	LR: 0.004000
Training Epoch: 15 [29696/48750]	Loss: 0.4380	LR: 0.004000
Training Epoch: 15 [29952/48750]	Loss: 0.3067	LR: 0.004000
Training Epoch: 15 [30208/48750]	Loss: 0.3259	LR: 0.004000
Training Epoch: 15 [30464/48750]	Loss: 0.2864	LR: 0.004000
Training Epoch: 15 [30720/48750]	Loss: 0.3621	LR: 0.004000
Training Epoch: 15 [30976/48750]	Loss: 0.3171	LR: 0.004000
Training Epoch: 15 [31232/48750]	Loss: 0.2672	LR: 0.004000
Training Epoch: 15 [31488/48750]	Loss: 0.3729	LR: 0.004000
Training Epoch: 15 [31744/48750]	Loss: 0.3887	LR: 0.004000
Training Epoch: 15 [32000/48750]	Loss: 0.3346	LR: 0.004000
Training Epoch: 15 [32256/48750]	Loss: 0.3437	LR: 0.004000
Training Epoch: 15 [32512/48750]	Loss: 0.3435	LR: 0.004000
Training Epoch: 15 [32768/48750]	Loss: 0.2926	LR: 0.004000
Training Epoch: 15 [33024/48750]	Loss: 0.2851	LR: 0.004000
Training Epoch: 15 [33280/48750]	Loss: 0.3442	LR: 0.004000
Training Epoch: 15 [33536/48750]	Loss: 0.3434	LR: 0.004000
Training Epoch: 15 [33792/48750]	Loss: 0.3026	LR: 0.004000
Training Epoch: 15 [34048/48750]	Loss: 0.4494	LR: 0.004000
Training Epoch: 15 [34304/48750]	Loss: 0.3582	LR: 0.004000
Training Epoch: 15 [34560/48750]	Loss: 0.3503	LR: 0.004000
Training Epoch: 15 [34816/48750]	Loss: 0.3765	LR: 0.004000
Training Epoch: 15 [35072/48750]	Loss: 0.3568	LR: 0.004000
Training Epoch: 15 [35328/48750]	Loss: 0.2805	LR: 0.004000
Training Epoch: 15 [35584/48750]	Loss: 0.3060	LR: 0.004000
Training Epoch: 15 [35840/48750]	Loss: 0.3952	LR: 0.004000
Training Epoch: 15 [36096/48750]	Loss: 0.3430	LR: 0.004000
Training Epoch: 15 [36352/48750]	Loss: 0.3677	LR: 0.004000
Training Epoch: 15 [36608/48750]	Loss: 0.3412	LR: 0.004000
Training Epoch: 15 [36864/48750]	Loss: 0.3085	LR: 0.004000
Training Epoch: 15 [37120/48750]	Loss: 0.2962	LR: 0.004000
Training Epoch: 15 [37376/48750]	Loss: 0.3409	LR: 0.004000
Training Epoch: 15 [37632/48750]	Loss: 0.2998	LR: 0.004000
Training Epoch: 15 [37888/48750]	Loss: 0.2849	LR: 0.004000
Training Epoch: 15 [38144/48750]	Loss: 0.3005	LR: 0.004000
Training Epoch: 15 [38400/48750]	Loss: 0.3084	LR: 0.004000
Training Epoch: 15 [38656/48750]	Loss: 0.3232	LR: 0.004000
Training Epoch: 15 [38912/48750]	Loss: 0.3666	LR: 0.004000
Training Epoch: 15 [39168/48750]	Loss: 0.2972	LR: 0.004000
Training Epoch: 15 [39424/48750]	Loss: 0.3554	LR: 0.004000
Training Epoch: 15 [39680/48750]	Loss: 0.3535	LR: 0.004000
Training Epoch: 15 [39936/48750]	Loss: 0.3219	LR: 0.004000
Training Epoch: 15 [40192/48750]	Loss: 0.2926	LR: 0.004000
Training Epoch: 15 [40448/48750]	Loss: 0.3600	LR: 0.004000
Training Epoch: 15 [40704/48750]	Loss: 0.2215	LR: 0.004000
Training Epoch: 15 [40960/48750]	Loss: 0.3609	LR: 0.004000
Training Epoch: 15 [41216/48750]	Loss: 0.3942	LR: 0.004000
Training Epoch: 15 [41472/48750]	Loss: 0.3108	LR: 0.004000
Training Epoch: 15 [41728/48750]	Loss: 0.3151	LR: 0.004000
Training Epoch: 15 [41984/48750]	Loss: 0.2634	LR: 0.004000
Training Epoch: 15 [42240/48750]	Loss: 0.3535	LR: 0.004000
Training Epoch: 15 [42496/48750]	Loss: 0.3859	LR: 0.004000
Training Epoch: 15 [42752/48750]	Loss: 0.3554	LR: 0.004000
Training Epoch: 15 [43008/48750]	Loss: 0.3144	LR: 0.004000
Training Epoch: 15 [43264/48750]	Loss: 0.2788	LR: 0.004000
Training Epoch: 15 [43520/48750]	Loss: 0.2194	LR: 0.004000
Training Epoch: 15 [43776/48750]	Loss: 0.3774	LR: 0.004000
Training Epoch: 15 [44032/48750]	Loss: 0.3171	LR: 0.004000
Training Epoch: 15 [44288/48750]	Loss: 0.3017	LR: 0.004000
Training Epoch: 15 [44544/48750]	Loss: 0.3587	LR: 0.004000
Training Epoch: 15 [44800/48750]	Loss: 0.3770	LR: 0.004000
Training Epoch: 15 [45056/48750]	Loss: 0.3646	LR: 0.004000
Training Epoch: 15 [45312/48750]	Loss: 0.2839	LR: 0.004000
Training Epoch: 15 [45568/48750]	Loss: 0.3139	LR: 0.004000
Training Epoch: 15 [45824/48750]	Loss: 0.3126	LR: 0.004000
Training Epoch: 15 [46080/48750]	Loss: 0.2896	LR: 0.004000
Training Epoch: 15 [46336/48750]	Loss: 0.2582	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.3305	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.3513	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.3487	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.3118	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.4006	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3190	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.4327	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.3208	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.2563	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.3469	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3244, Train Accuracy: 0.8878
Epoch 15 training time consumed: 27.15s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8756, Time consumed:0.97s
Training Epoch: 16 [256/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.3220	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.3295	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.3355	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.3866	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.3909	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.3342	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.3995	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.3394	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.3338	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.3186	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.3184	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.3582	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.2269	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.2402	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.3260	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.3330	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.4043	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.3131	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.3320	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.2791	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.3305	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.3099	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.3342	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.3584	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.3133	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.2281	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.3718	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.3239	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.3341	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.3527	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.3520	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.3728	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.3860	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.3237	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.3318	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.3563	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.3340	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.3686	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.3186	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.3155	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.3005	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.3315	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.4073	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.3108	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.4509	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.3592	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.4001	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.2598	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.3083	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.2408	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.3020	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 16 [24320/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 16 [24576/48750]	Loss: 0.2250	LR: 0.000800
Training Epoch: 16 [24832/48750]	Loss: 0.2707	LR: 0.000800
Training Epoch: 16 [25088/48750]	Loss: 0.3285	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.3634	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.2604	LR: 0.000800
Training Epoch: 16 [27136/48750]	Loss: 0.3192	LR: 0.000800
Training Epoch: 16 [27392/48750]	Loss: 0.2475	LR: 0.000800
Training Epoch: 16 [27648/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 16 [27904/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.3148	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.3184	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.3479	LR: 0.000800
Training Epoch: 16 [29184/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 16 [29440/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 16 [29696/48750]	Loss: 0.3876	LR: 0.000800
Training Epoch: 16 [29952/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 16 [30208/48750]	Loss: 0.3876	LR: 0.000800
Training Epoch: 16 [30464/48750]	Loss: 0.3496	LR: 0.000800
Training Epoch: 16 [30720/48750]	Loss: 0.3411	LR: 0.000800
Training Epoch: 16 [30976/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 16 [31232/48750]	Loss: 0.3280	LR: 0.000800
Training Epoch: 16 [31488/48750]	Loss: 0.3319	LR: 0.000800
Training Epoch: 16 [31744/48750]	Loss: 0.3501	LR: 0.000800
Training Epoch: 16 [32000/48750]	Loss: 0.3529	LR: 0.000800
Training Epoch: 16 [32256/48750]	Loss: 0.3513	LR: 0.000800
Training Epoch: 16 [32512/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 16 [32768/48750]	Loss: 0.3579	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 16 [33280/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 16 [33536/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 16 [33792/48750]	Loss: 0.3410	LR: 0.000800
Training Epoch: 16 [34048/48750]	Loss: 0.3690	LR: 0.000800
Training Epoch: 16 [34304/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 16 [34560/48750]	Loss: 0.3388	LR: 0.000800
Training Epoch: 16 [34816/48750]	Loss: 0.3403	LR: 0.000800
Training Epoch: 16 [35072/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 16 [35328/48750]	Loss: 0.3647	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.3187	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.2267	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.3211	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.3714	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.3643	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.3314	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.3047	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.3444	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.3815	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 16 [39680/48750]	Loss: 0.3142	LR: 0.000800
Training Epoch: 16 [39936/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.2911	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.3224	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.4623	LR: 0.000800
Training Epoch: 16 [41216/48750]	Loss: 0.3388	LR: 0.000800
Training Epoch: 16 [41472/48750]	Loss: 0.3243	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.3594	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.3157	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.3449	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.2460	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.3466	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.3924	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.3387	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.3123	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.3154	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.3414	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.3376	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2522	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3582	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.3665	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3013	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.3897	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3133, Train Accuracy: 0.8928
Epoch 16 training time consumed: 27.29s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8775, Time consumed:0.91s
Training Epoch: 17 [256/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.3504	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.3167	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.3339	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.3580	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.3969	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.3821	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.3557	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.3292	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.3529	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.3593	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.3564	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.3272	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.3791	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.3406	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.2763	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.2064	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.2199	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.2376	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.3584	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.3315	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.4195	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.3782	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.3487	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.3389	LR: 0.000800
Training Epoch: 17 [12544/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 17 [12800/48750]	Loss: 0.2316	LR: 0.000800
Training Epoch: 17 [13056/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.3550	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 17 [14080/48750]	Loss: 0.3371	LR: 0.000800
Training Epoch: 17 [14336/48750]	Loss: 0.3026	LR: 0.000800
Training Epoch: 17 [14592/48750]	Loss: 0.3913	LR: 0.000800
Training Epoch: 17 [14848/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 17 [15104/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.3530	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.3336	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.3701	LR: 0.000800
Training Epoch: 17 [16384/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 17 [16640/48750]	Loss: 0.2994	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 17 [17152/48750]	Loss: 0.2352	LR: 0.000800
Training Epoch: 17 [17408/48750]	Loss: 0.2941	LR: 0.000800
Training Epoch: 17 [17664/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 17 [17920/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 17 [18176/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 17 [19200/48750]	Loss: 0.3350	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.3695	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.3192	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 17 [20992/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 17 [21248/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 17 [21504/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 17 [21760/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 17 [22016/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.3379	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.3136	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.3012	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.3336	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 17 [24064/48750]	Loss: 0.3547	LR: 0.000800
Training Epoch: 17 [24320/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 17 [24576/48750]	Loss: 0.3744	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.3203	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.3250	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.3666	LR: 0.000800
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Training Epoch: 17 [30208/48750]	Loss: 0.3482	LR: 0.000800
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Training Epoch: 17 [30976/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.3238	LR: 0.000800
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Training Epoch: 17 [31744/48750]	Loss: 0.2604	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.3481	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.3333	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2797	LR: 0.000800
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Training Epoch: 17 [37376/48750]	Loss: 0.2757	LR: 0.000800
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Training Epoch: 17 [41472/48750]	Loss: 0.2997	LR: 0.000800
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Training Epoch: 17 [42240/48750]	Loss: 0.3231	LR: 0.000800
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Training Epoch: 17 [43008/48750]	Loss: 0.3328	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.3634	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.3990	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.3482	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.4098	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.3503	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.3377	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.4623	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.3353	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2890	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.3509	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2708	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2473	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3090, Train Accuracy: 0.8953
Epoch 17 training time consumed: 27.13s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8785, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_10h_59m_39s/AllCNN-Cifar10-seed9-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.3211	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.3780	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.3040	LR: 0.000800
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Training Epoch: 18 [4096/48750]	Loss: 0.3120	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.3172	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2842	LR: 0.000800
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Training Epoch: 18 [5376/48750]	Loss: 0.2090	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.3590	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2647	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.3335	LR: 0.000800
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Training Epoch: 18 [12288/48750]	Loss: 0.2873	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.3301	LR: 0.000800
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Training Epoch: 18 [16128/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.3042	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.3387	LR: 0.000800
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Training Epoch: 18 [26112/48750]	Loss: 0.2389	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.4172	LR: 0.000800
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Training Epoch: 18 [27904/48750]	Loss: 0.4217	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.3087	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.3173	LR: 0.000800
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Training Epoch: 18 [29440/48750]	Loss: 0.2962	LR: 0.000800
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Training Epoch: 18 [29952/48750]	Loss: 0.2774	LR: 0.000800
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Training Epoch: 18 [30464/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.3538	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.3534	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.3380	LR: 0.000800
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Training Epoch: 18 [33024/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.2943	LR: 0.000800
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Training Epoch: 18 [35328/48750]	Loss: 0.3536	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.3928	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2769	LR: 0.000800
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Training Epoch: 18 [37888/48750]	Loss: 0.3357	LR: 0.000800
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Training Epoch: 18 [41472/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.2735	LR: 0.000800
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Training Epoch: 18 [42496/48750]	Loss: 0.3161	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.3425	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2763	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.3280	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.3328	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.3101	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.3610	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.3042	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.3744	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.4014	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.3217	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3433	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.3052	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3056, Train Accuracy: 0.8969
Epoch 18 training time consumed: 27.61s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8769, Time consumed:1.03s
Training Epoch: 19 [256/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.3381	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2647	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.3133	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.4085	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3497	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.3564	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.3310	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.3903	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2009	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2518	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.3921	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.3287	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.3411	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.3211	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.3483	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.3068	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.3151	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.3239	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.3773	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.3718	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.3477	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.3725	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.3597	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2931	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3590	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.3013	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.3782	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.3331	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3068	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.3385	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2430	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2462	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.3315	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.3804	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.4197	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.3427	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.3063	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2857	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3411	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2497	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.3416	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2961	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.3861	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.3321	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.3669	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2890	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.3687	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.3406	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.3539	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.3422	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.3801	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.3096	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.3161	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.3618	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.3172	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.3417	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.2618	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.3970	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.3352	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.3574	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.3458	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.3812	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.3577	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.3424	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2641	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.3373	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.3610	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.3731	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.3338	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3610	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2460	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.3178	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.3460	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.3516	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3089	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.3427	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.3404	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2668	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2932	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.3630	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.3630	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.3339	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.3495	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.3203	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.3404	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.3674	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.3284	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.3690	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2127	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.3429	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3424	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.3055	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2669	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.2932	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3055, Train Accuracy: 0.8967
Epoch 19 training time consumed: 27.13s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8780, Time consumed:0.96s
Training Epoch: 20 [256/48750]	Loss: 0.3169	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.3872	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.3080	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.3127	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.3542	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.3615	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.3608	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.3011	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.3093	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.3948	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.3204	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.3327	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2966	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2477	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.3741	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2624	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.3504	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2251	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.3361	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.3042	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.3416	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.3462	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2372	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.3252	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.3529	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.3690	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.3420	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2961	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.3345	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.3614	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.3204	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.3460	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.3189	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2941	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.3236	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.3233	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.3482	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.3445	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.3730	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2782	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2268	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.3169	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2888	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.3247	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.3129	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.3430	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.3773	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.3374	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.3213	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.3209	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.3979	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2843	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.3155	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2598	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.3336	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.3245	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.4256	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2451	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.3314	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.3791	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.3262	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.3100	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.2966	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.4064	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.3722	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.2775	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2967	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.2977	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.3666	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.3094	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.3710	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.3411	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.3232	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.3534	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.3671	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.3551	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.3627	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3551	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.3381	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.3060	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.3474	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.3463	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.3481	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.3932	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.3096	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.3593	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.3529	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.3247	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.3363	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3534	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3047, Train Accuracy: 0.8971
Epoch 20 training time consumed: 27.28s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8779, Time consumed:0.93s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 87.9296875
Retain Accuracy: 90.09471130371094
Zero-Retain Forget (ZRF): 0.8564882874488831
Membership Inference Attack (MIA): 0.4376
Forget vs Retain Membership Inference Attack (MIA): 0.488
Forget vs Test Membership Inference Attack (MIA): 0.558
Test vs Retain Membership Inference Attack (MIA): 0.506
Train vs Test Membership Inference Attack (MIA): 0.51775
Forget Set Accuracy (Df): 86.69869995117188
Method Execution Time: 1075.20 seconds
