hello
hello

📌 Retain class distribution for seed 4:
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 4:
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: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3281	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3389	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3191	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3403	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3079	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2861	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2661	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2848	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2646	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2533	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2372	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1958	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1864	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1712	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.1209	LR: 0.007735
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Training Epoch: 1 [4352/46250]	Loss: 2.1271	LR: 0.008840
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Training Epoch: 1 [5888/46250]	Loss: 1.9521	LR: 0.012155
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Training Epoch: 1 [8448/46250]	Loss: 1.8419	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8387	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.8586	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8148	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.8693	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7930	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.8338	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.7973	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.8258	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7894	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.8660	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8322	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.8541	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.8519	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.7028	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.8024	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.7697	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7923	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.7684	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7879	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7461	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.8188	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.7918	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.7786	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.6608	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7119	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.8261	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.7135	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.7242	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7484	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.7628	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.7044	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6612	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.7811	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.7690	LR: 0.036464
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Training Epoch: 1 [18176/46250]	Loss: 1.5921	LR: 0.038674
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Training Epoch: 1 [18688/46250]	Loss: 1.7181	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.6130	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.6966	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.5373	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.6465	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.6418	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.5413	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6872	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.5824	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.6697	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.5564	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6669	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.6226	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.5897	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.5703	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.4487	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6061	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.5154	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.5931	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.6558	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.6440	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5511	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.5365	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.5155	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.5075	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.5870	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.5784	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.4312	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.4781	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.4261	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.5875	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.4840	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.4075	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.4876	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5140	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.4881	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.6127	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.5807	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.6729	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.4803	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.3964	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.4359	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.4395	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.4185	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.4841	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.4566	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.5833	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.5268	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.4085	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.4823	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.5482	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.4170	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.4688	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.3954	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.3797	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.4242	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4373	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.4584	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5128	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4481	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.3313	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.6176	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4085	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.5117	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4803	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.4505	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.5434	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.5661	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4294	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.3288	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4246	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.3255	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.3499	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.4106	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.2984	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.4282	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.3535	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.3873	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.3365	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.4013	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.4020	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.5768	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.3588	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4903	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.5563	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.5037	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.2967	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.5079	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.2885	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.3933	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.3807	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.4247	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.3744	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.2377	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.3748	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.4750	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4389	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.4712	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.2736	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.5156	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.4712	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4050	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3360	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.3795	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.3345	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.3305	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4328	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.4835	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.4292	LR: 0.099448
Epoch 1 - Average Train Loss: 1.6573, Train Accuracy: 0.3845
Epoch 1 training time consumed: 26.43s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0082, Accuracy: 0.3993, Time consumed:1.08s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.2854	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.3332	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.2071	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.3172	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.4886	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3411	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.3708	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.2550	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3438	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.3636	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.2843	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.2336	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.2334	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.3381	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.2479	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3290	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3174	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.3978	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.2880	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3114	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.3835	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.4092	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.3126	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.3149	LR: 0.100000
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Training Epoch: 2 [6656/46250]	Loss: 1.2570	LR: 0.100000
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Training Epoch: 2 [7168/46250]	Loss: 1.2418	LR: 0.100000
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Training Epoch: 2 [7680/46250]	Loss: 1.1596	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.2693	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.2892	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.2250	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.3857	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.2688	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.1606	LR: 0.100000
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Training Epoch: 2 [9728/46250]	Loss: 1.3518	LR: 0.100000
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Training Epoch: 2 [10496/46250]	Loss: 1.2462	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.1892	LR: 0.100000
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Training Epoch: 2 [13568/46250]	Loss: 1.1966	LR: 0.100000
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Training Epoch: 2 [14336/46250]	Loss: 1.1777	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.1174	LR: 0.100000
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Training Epoch: 2 [15104/46250]	Loss: 1.2239	LR: 0.100000
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Training Epoch: 2 [16896/46250]	Loss: 1.1031	LR: 0.100000
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Training Epoch: 2 [18432/46250]	Loss: 1.1067	LR: 0.100000
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Training Epoch: 2 [19200/46250]	Loss: 1.1435	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.2551	LR: 0.100000
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Training Epoch: 2 [20992/46250]	Loss: 1.1542	LR: 0.100000
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Training Epoch: 2 [23040/46250]	Loss: 1.3311	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.2068	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.1708	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1825, Train Accuracy: 0.5728
Epoch 2 training time consumed: 25.73s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0049, Accuracy: 0.5831, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.1675	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.9467	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9998, Train Accuracy: 0.6449
Epoch 3 training time consumed: 25.85s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0039, Accuracy: 0.6589, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.9496	LR: 0.100000
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Training Epoch: 4 [5888/46250]	Loss: 1.0371	LR: 0.100000
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Training Epoch: 4 [6400/46250]	Loss: 1.0028	LR: 0.100000
Training Epoch: 4 [6656/46250]	Loss: 0.8511	LR: 0.100000
Training Epoch: 4 [6912/46250]	Loss: 0.7215	LR: 0.100000
Training Epoch: 4 [7168/46250]	Loss: 0.8976	LR: 0.100000
Training Epoch: 4 [7424/46250]	Loss: 0.8427	LR: 0.100000
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Training Epoch: 4 [7936/46250]	Loss: 0.8271	LR: 0.100000
Training Epoch: 4 [8192/46250]	Loss: 0.8951	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 0.8839	LR: 0.100000
Training Epoch: 4 [8704/46250]	Loss: 0.9178	LR: 0.100000
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Training Epoch: 4 [9216/46250]	Loss: 0.9433	LR: 0.100000
Training Epoch: 4 [9472/46250]	Loss: 0.9497	LR: 0.100000
Training Epoch: 4 [9728/46250]	Loss: 0.9154	LR: 0.100000
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Training Epoch: 4 [10240/46250]	Loss: 0.7923	LR: 0.100000
Training Epoch: 4 [10496/46250]	Loss: 0.8765	LR: 0.100000
Training Epoch: 4 [10752/46250]	Loss: 0.9068	LR: 0.100000
Training Epoch: 4 [11008/46250]	Loss: 0.8800	LR: 0.100000
Training Epoch: 4 [11264/46250]	Loss: 0.7400	LR: 0.100000
Training Epoch: 4 [11520/46250]	Loss: 0.9046	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.7717	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.9265	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.8520	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.9823	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.8782	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.8186	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.8762	LR: 0.100000
Training Epoch: 4 [13568/46250]	Loss: 0.8118	LR: 0.100000
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Training Epoch: 4 [15616/46250]	Loss: 1.0286	LR: 0.100000
Training Epoch: 4 [15872/46250]	Loss: 0.8617	LR: 0.100000
Training Epoch: 4 [16128/46250]	Loss: 0.8309	LR: 0.100000
Training Epoch: 4 [16384/46250]	Loss: 0.9211	LR: 0.100000
Training Epoch: 4 [16640/46250]	Loss: 0.7674	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.9865	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.8720	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.9886	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.8497	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 1.0433	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.8815	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.7473	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.8197	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.8736	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.9404	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.7953	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.8347	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.9689	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.8842	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.9415	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.9470	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.9135	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.7812	LR: 0.100000
Training Epoch: 4 [21504/46250]	Loss: 0.9487	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.9121	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.9991	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.8804	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.8271	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.9580	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.8420	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.8370	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.8626	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.8982	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.9273	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.9760	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.8565	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.8966	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.7629	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.8157	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.9448	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.9882	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.7551	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.7339	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.8290	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.9620	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.8761	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.7981	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.9437	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.9189	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.9205	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.8528	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.8345	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.7790	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.9878	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.7803	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.8355	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.8545	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.8467	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.8298	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.7672	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.8692	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.8701	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.8541	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.8659	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.8572	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.8249	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.8748	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.8236	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.9362	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.7613	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.8542	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.7959	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.8637	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.8714	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.9677	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.7569	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.8869	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.8342	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.7809	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.9204	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.8964	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.8220	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.8564	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.8412	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.8402	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.8960	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.9005	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.9615	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.9183	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.8466	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.8725	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.6893	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.7558	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.7861	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.8057	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.9747	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.8275	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.7929	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.7496	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.9802	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.8297	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.7800	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.8155	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.7374	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.8071	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.8169	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.7969	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.8644	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.7823	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.6952	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.7551	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.8814	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.8429	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.9085	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.7269	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.8514	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.8771	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.7676	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.8453	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.8734	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.7586	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8698, Train Accuracy: 0.6949
Epoch 4 training time consumed: 25.69s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0052, Accuracy: 0.6028, Time consumed:0.95s
Training Epoch: 5 [256/46250]	Loss: 0.8645	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.7240	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.9207	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.7498	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.8747	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.8555	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.8649	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.7884	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.7964	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.8701	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.8581	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.8966	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.7737	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.9190	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.8568	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.9207	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.8511	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.7798	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.7373	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.6989	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.7716	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.8670	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.7282	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.8041	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.8082	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.8860	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.8469	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.7239	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.7200	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.8579	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.9196	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.8797	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.6747	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.8627	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.8055	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.6835	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.7475	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.7535	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.7127	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.8299	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.7626	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.7844	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.7682	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.8460	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.8454	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.7320	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.8988	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.7195	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.7278	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.7921	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.7648	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.6902	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.8693	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.7529	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.7897	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.7635	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.7607	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.8013	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.8093	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.8352	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.8350	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.7001	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.8185	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.7234	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.7985	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.8780	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.7518	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.8309	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.8922	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.7373	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.8345	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.7412	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.7572	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.9698	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.7409	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.7903	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.8031	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.7464	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.8231	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.7521	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.8053	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.7693	LR: 0.100000
Training Epoch: 5 [21248/46250]	Loss: 0.8038	LR: 0.100000
Training Epoch: 5 [21504/46250]	Loss: 0.8118	LR: 0.100000
Training Epoch: 5 [21760/46250]	Loss: 0.7093	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.7217	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.8782	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.6650	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.7328	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.7613	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.7784	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.7329	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.8878	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.8068	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.7389	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.7756	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.7457	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.7852	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.8426	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.8970	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.6517	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.7236	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.7529	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.7955	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.8457	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.7847	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.7415	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.8192	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.7535	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.8481	LR: 0.100000
Training Epoch: 5 [28416/46250]	Loss: 0.8879	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.8308	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.7958	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.7226	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.7871	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.6694	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.8560	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.7396	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.7633	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.7001	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.8641	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.7764	LR: 0.100000
Training Epoch: 5 [31488/46250]	Loss: 0.7314	LR: 0.100000
Training Epoch: 5 [31744/46250]	Loss: 0.7318	LR: 0.100000
Training Epoch: 5 [32000/46250]	Loss: 0.8001	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.7872	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.8714	LR: 0.100000
Training Epoch: 5 [32768/46250]	Loss: 0.6809	LR: 0.100000
Training Epoch: 5 [33024/46250]	Loss: 0.6707	LR: 0.100000
Training Epoch: 5 [33280/46250]	Loss: 0.6732	LR: 0.100000
Training Epoch: 5 [33536/46250]	Loss: 0.6394	LR: 0.100000
Training Epoch: 5 [33792/46250]	Loss: 0.7323	LR: 0.100000
Training Epoch: 5 [34048/46250]	Loss: 0.6685	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.7108	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.8069	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.7353	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.6621	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.7742	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.7388	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.7650	LR: 0.100000
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Training Epoch: 5 [46250/46250]	Loss: 0.6937	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7761, Train Accuracy: 0.7282
Epoch 5 training time consumed: 25.68s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0034, Accuracy: 0.7130, Time consumed:1.05s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6948	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.6457	LR: 0.100000
Epoch 6 - Average Train Loss: 0.7058, Train Accuracy: 0.7530
Epoch 6 training time consumed: 25.76s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7732, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.7164	LR: 0.100000
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Training Epoch: 7 [17920/46250]	Loss: 0.7004	LR: 0.100000
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Training Epoch: 7 [18432/46250]	Loss: 0.6149	LR: 0.100000
Training Epoch: 7 [18688/46250]	Loss: 0.5672	LR: 0.100000
Training Epoch: 7 [18944/46250]	Loss: 0.6559	LR: 0.100000
Training Epoch: 7 [19200/46250]	Loss: 0.7324	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.7134	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.6227	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.5636	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.6578	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.5959	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.5127	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.6138	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.6078	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.6720	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.6204	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.5436	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.6199	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.6760	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.6824	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.6041	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.5837	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.5957	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.6834	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.8210	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.7187	LR: 0.100000
Training Epoch: 7 [24576/46250]	Loss: 0.7825	LR: 0.100000
Training Epoch: 7 [24832/46250]	Loss: 0.6663	LR: 0.100000
Training Epoch: 7 [25088/46250]	Loss: 0.5787	LR: 0.100000
Training Epoch: 7 [25344/46250]	Loss: 0.6541	LR: 0.100000
Training Epoch: 7 [25600/46250]	Loss: 0.6661	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.8107	LR: 0.100000
Training Epoch: 7 [26112/46250]	Loss: 0.6949	LR: 0.100000
Training Epoch: 7 [26368/46250]	Loss: 0.5922	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.6137	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.5840	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.7138	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.6912	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.6123	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.7904	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.7287	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.6551	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.5908	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.6913	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.6476	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.6326	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.6458	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.7097	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.6886	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.5453	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.5588	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.6820	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.6195	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.6123	LR: 0.100000
Training Epoch: 7 [31744/46250]	Loss: 0.6579	LR: 0.100000
Training Epoch: 7 [32000/46250]	Loss: 0.6835	LR: 0.100000
Training Epoch: 7 [32256/46250]	Loss: 0.7450	LR: 0.100000
Training Epoch: 7 [32512/46250]	Loss: 0.5453	LR: 0.100000
Training Epoch: 7 [32768/46250]	Loss: 0.6298	LR: 0.100000
Training Epoch: 7 [33024/46250]	Loss: 0.5444	LR: 0.100000
Training Epoch: 7 [33280/46250]	Loss: 0.6029	LR: 0.100000
Training Epoch: 7 [33536/46250]	Loss: 0.6565	LR: 0.100000
Training Epoch: 7 [33792/46250]	Loss: 0.6295	LR: 0.100000
Training Epoch: 7 [34048/46250]	Loss: 0.5476	LR: 0.100000
Training Epoch: 7 [34304/46250]	Loss: 0.5843	LR: 0.100000
Training Epoch: 7 [34560/46250]	Loss: 0.7016	LR: 0.100000
Training Epoch: 7 [34816/46250]	Loss: 0.5963	LR: 0.100000
Training Epoch: 7 [35072/46250]	Loss: 0.7140	LR: 0.100000
Training Epoch: 7 [35328/46250]	Loss: 0.7785	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.6514	LR: 0.100000
Training Epoch: 7 [35840/46250]	Loss: 0.5999	LR: 0.100000
Training Epoch: 7 [36096/46250]	Loss: 0.7008	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.7089	LR: 0.100000
Training Epoch: 7 [36608/46250]	Loss: 0.5067	LR: 0.100000
Training Epoch: 7 [36864/46250]	Loss: 0.7411	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.5867	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.7418	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.7295	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.6284	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.6532	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.6459	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.7740	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.7248	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.6409	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.7772	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.7432	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.6229	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.6709	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.5459	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.6269	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.5759	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.6022	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.6298	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.6147	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.6912	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.5547	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.6304	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.6397	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.6768	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.5571	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.6206	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.6724	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.5750	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.6261	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.6256	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.5401	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.7669	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.6140	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.6409	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.6981	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.7077	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.5998	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6501, Train Accuracy: 0.7736
Epoch 7 training time consumed: 25.71s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0032, Accuracy: 0.7350, Time consumed:0.92s
Training Epoch: 8 [256/46250]	Loss: 0.6100	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.6239	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.5817	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.6628	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.6350	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.4834	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.6890	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.5975	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.5177	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.5293	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.5312	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.5523	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.5520	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.5537	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.4663	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.5714	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.4649	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.4977	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.5546	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.5978	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.5184	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.4730	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.5965	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.5477	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.4756	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.5040	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.5216	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.5439	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.4887	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.4771	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.5540	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.5962	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.5948	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.5648	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.4819	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.5071	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.4238	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.4678	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.5686	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.4616	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.5091	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.4806	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.4796	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.5611	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.4699	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.5719	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.5314	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.4829	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.5105	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.4738	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.4958	LR: 0.020000
Training Epoch: 8 [13312/46250]	Loss: 0.5288	LR: 0.020000
Training Epoch: 8 [13568/46250]	Loss: 0.5531	LR: 0.020000
Training Epoch: 8 [13824/46250]	Loss: 0.4455	LR: 0.020000
Training Epoch: 8 [14080/46250]	Loss: 0.5520	LR: 0.020000
Training Epoch: 8 [14336/46250]	Loss: 0.5210	LR: 0.020000
Training Epoch: 8 [14592/46250]	Loss: 0.4757	LR: 0.020000
Training Epoch: 8 [14848/46250]	Loss: 0.4301	LR: 0.020000
Training Epoch: 8 [15104/46250]	Loss: 0.4147	LR: 0.020000
Training Epoch: 8 [15360/46250]	Loss: 0.4249	LR: 0.020000
Training Epoch: 8 [15616/46250]	Loss: 0.4740	LR: 0.020000
Training Epoch: 8 [15872/46250]	Loss: 0.4565	LR: 0.020000
Training Epoch: 8 [16128/46250]	Loss: 0.5008	LR: 0.020000
Training Epoch: 8 [16384/46250]	Loss: 0.5624	LR: 0.020000
Training Epoch: 8 [16640/46250]	Loss: 0.4785	LR: 0.020000
Training Epoch: 8 [16896/46250]	Loss: 0.5763	LR: 0.020000
Training Epoch: 8 [17152/46250]	Loss: 0.5115	LR: 0.020000
Training Epoch: 8 [17408/46250]	Loss: 0.4945	LR: 0.020000
Training Epoch: 8 [17664/46250]	Loss: 0.4818	LR: 0.020000
Training Epoch: 8 [17920/46250]	Loss: 0.4948	LR: 0.020000
Training Epoch: 8 [18176/46250]	Loss: 0.5077	LR: 0.020000
Training Epoch: 8 [18432/46250]	Loss: 0.6731	LR: 0.020000
Training Epoch: 8 [18688/46250]	Loss: 0.4486	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.5273	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.4726	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.4395	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.5033	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.5472	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.4624	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.5745	LR: 0.020000
Training Epoch: 8 [20736/46250]	Loss: 0.4320	LR: 0.020000
Training Epoch: 8 [20992/46250]	Loss: 0.5611	LR: 0.020000
Training Epoch: 8 [21248/46250]	Loss: 0.5453	LR: 0.020000
Training Epoch: 8 [21504/46250]	Loss: 0.4453	LR: 0.020000
Training Epoch: 8 [21760/46250]	Loss: 0.5178	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.4310	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.4580	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.5534	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.4967	LR: 0.020000
Training Epoch: 8 [23040/46250]	Loss: 0.4981	LR: 0.020000
Training Epoch: 8 [23296/46250]	Loss: 0.4251	LR: 0.020000
Training Epoch: 8 [23552/46250]	Loss: 0.6267	LR: 0.020000
Training Epoch: 8 [23808/46250]	Loss: 0.4512	LR: 0.020000
Training Epoch: 8 [24064/46250]	Loss: 0.5352	LR: 0.020000
Training Epoch: 8 [24320/46250]	Loss: 0.5032	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.5541	LR: 0.020000
Training Epoch: 8 [24832/46250]	Loss: 0.4625	LR: 0.020000
Training Epoch: 8 [25088/46250]	Loss: 0.6464	LR: 0.020000
Training Epoch: 8 [25344/46250]	Loss: 0.5045	LR: 0.020000
Training Epoch: 8 [25600/46250]	Loss: 0.4169	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.5086	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.5271	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.4734	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.5269	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.5076	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.3760	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.5671	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.4747	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.4446	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.4746	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.4976	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.4764	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.5003	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.4610	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.4439	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.4524	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.4859	LR: 0.020000
Training Epoch: 8 [30208/46250]	Loss: 0.5203	LR: 0.020000
Training Epoch: 8 [30464/46250]	Loss: 0.5059	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.5050	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.4075	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.4685	LR: 0.020000
Training Epoch: 8 [31488/46250]	Loss: 0.5029	LR: 0.020000
Training Epoch: 8 [31744/46250]	Loss: 0.5034	LR: 0.020000
Training Epoch: 8 [32000/46250]	Loss: 0.4740	LR: 0.020000
Training Epoch: 8 [32256/46250]	Loss: 0.4172	LR: 0.020000
Training Epoch: 8 [32512/46250]	Loss: 0.4424	LR: 0.020000
Training Epoch: 8 [32768/46250]	Loss: 0.4629	LR: 0.020000
Training Epoch: 8 [33024/46250]	Loss: 0.5747	LR: 0.020000
Training Epoch: 8 [33280/46250]	Loss: 0.4744	LR: 0.020000
Training Epoch: 8 [33536/46250]	Loss: 0.4636	LR: 0.020000
Training Epoch: 8 [33792/46250]	Loss: 0.4309	LR: 0.020000
Training Epoch: 8 [34048/46250]	Loss: 0.4661	LR: 0.020000
Training Epoch: 8 [34304/46250]	Loss: 0.5281	LR: 0.020000
Training Epoch: 8 [34560/46250]	Loss: 0.4749	LR: 0.020000
Training Epoch: 8 [34816/46250]	Loss: 0.5031	LR: 0.020000
Training Epoch: 8 [35072/46250]	Loss: 0.4687	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.4621	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.4913	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.5096	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.4980	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.5429	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.4742	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.3850	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.5147	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.4516	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.4547	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.4678	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.5052	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.4647	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.4836	LR: 0.020000
Training Epoch: 8 [38912/46250]	Loss: 0.4027	LR: 0.020000
Training Epoch: 8 [39168/46250]	Loss: 0.4877	LR: 0.020000
Training Epoch: 8 [39424/46250]	Loss: 0.4999	LR: 0.020000
Training Epoch: 8 [39680/46250]	Loss: 0.5826	LR: 0.020000
Training Epoch: 8 [39936/46250]	Loss: 0.3661	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.5825	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.4882	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.4874	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.5016	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.3509	LR: 0.020000
Training Epoch: 8 [41472/46250]	Loss: 0.4691	LR: 0.020000
Training Epoch: 8 [41728/46250]	Loss: 0.4943	LR: 0.020000
Training Epoch: 8 [41984/46250]	Loss: 0.5363	LR: 0.020000
Training Epoch: 8 [42240/46250]	Loss: 0.4697	LR: 0.020000
Training Epoch: 8 [42496/46250]	Loss: 0.4529	LR: 0.020000
Training Epoch: 8 [42752/46250]	Loss: 0.5162	LR: 0.020000
Training Epoch: 8 [43008/46250]	Loss: 0.5394	LR: 0.020000
Training Epoch: 8 [43264/46250]	Loss: 0.4393	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.5606	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.4428	LR: 0.020000
Training Epoch: 8 [44032/46250]	Loss: 0.4879	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.4242	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.4978	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.4511	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.4704	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.4123	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.4340	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.5216	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.5253	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.3880	LR: 0.020000
Epoch 8 - Average Train Loss: 0.5007, Train Accuracy: 0.8275
Epoch 8 training time consumed: 25.75s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8372, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4629	LR: 0.020000
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Training Epoch: 9 [46250/46250]	Loss: 0.3501	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4544, Train Accuracy: 0.8428
Epoch 9 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0019, Accuracy: 0.8364, Time consumed:0.95s
Training Epoch: 10 [256/46250]	Loss: 0.4462	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.4468	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.6027	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4319, Train Accuracy: 0.8506
Epoch 10 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0019, Accuracy: 0.8435, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3538	LR: 0.020000
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Training Epoch: 11 [45056/46250]	Loss: 0.4663	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.4752	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3210	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4165, Train Accuracy: 0.8563
Epoch 11 training time consumed: 25.69s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0020, Accuracy: 0.8320, Time consumed:0.91s
Training Epoch: 12 [256/46250]	Loss: 0.3799	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3666	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.4634	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.4597	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3411	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.4451	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.3691	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.2821	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3714, Train Accuracy: 0.8733
Epoch 12 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0016, Accuracy: 0.8640, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3403	LR: 0.004000
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Training Epoch: 13 [43520/46250]	Loss: 0.3159	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3932	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3788	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3277	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3482	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3064	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.2919	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.4066	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.3747	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.3208	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.2938	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3389	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3579, Train Accuracy: 0.8775
Epoch 13 training time consumed: 25.72s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0016, Accuracy: 0.8671, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3750	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.3384	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.3933	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.3868	LR: 0.004000
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Training Epoch: 14 [1536/46250]	Loss: 0.3292	LR: 0.004000
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Training Epoch: 14 [42496/46250]	Loss: 0.3711	LR: 0.004000
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Training Epoch: 14 [46250/46250]	Loss: 0.2487	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3481, Train Accuracy: 0.8811
Epoch 14 training time consumed: 25.76s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8696, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.4264	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.3083	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.3166	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.3382	LR: 0.004000
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Training Epoch: 15 [1536/46250]	Loss: 0.3355	LR: 0.004000
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Training Epoch: 15 [12032/46250]	Loss: 0.3208	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.4003	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.4139	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.3311	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.3266	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.2553	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.3057	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.3153	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.2801	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.3826	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.3055	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.3464	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.3166	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.3432	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.3537	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.2847	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.3299	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.2916	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.3513	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.3415	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.3554	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.4056	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.4120	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.4359	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.2260	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.3540	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.3394	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.2876	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.3341	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.4382	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.3188	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.3888	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.4180	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.2878	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.2539	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.3368	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.2996	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.2990	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.3044	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.3601	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.4020	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.4454	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.3201	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.2969	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.2426	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.2822	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.3285	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.3391	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.3074	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.3176	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.2683	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.3362	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.2766	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.3151	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.3534	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.4004	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.4296	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.2768	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.4310	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.2836	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.2479	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.3102	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.3431	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.2501	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.4393	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.3055	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.3662	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.3290	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.2512	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.3248	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.3822	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.3250	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.2666	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.3504	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.3093	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.3235	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.4518	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.2436	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.3650	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.3402	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.3277	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.4099	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.3225	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.3143	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.3642	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.3972	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.3520	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.3665	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.3700	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.3194	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.2890	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.3577	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.3704	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.3167	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.2926	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.2754	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.3397	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.3799	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.3010	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.3331	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.3916	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.3579	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.2867	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.3326	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.3630	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.2500	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.3595	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.3927	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.3685	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.2882	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.3477	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.2896	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.3877	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.2533	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.3691	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.2518	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.3363	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.4120	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.2526	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.3462	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.3489	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.3199	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.2464	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.3122	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.3827	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.4003	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.3603	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.3692	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.3759	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.3267	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.3339	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.3695	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.2746	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.3567	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3388, Train Accuracy: 0.8851
Epoch 15 training time consumed: 25.89s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8681, Time consumed:0.95s
Training Epoch: 16 [256/46250]	Loss: 0.2544	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.3222	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.3508	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.3255	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.2994	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.3042	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.3565	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.3186	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.2944	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.3709	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.3347	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.2581	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.3779	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.2954	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.3772	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.3433	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.3277	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.3355	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.3272	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.2719	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.3542	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.3241	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.4096	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.3348	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.2896	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.3441	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.3215	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.3960	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.3264	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.2214	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.3102	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.3398	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.3417	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.3550	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.3240	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.3976	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.3384	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.2718	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.2978	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.3197	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.3833	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.4100	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.3268	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.3137	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.2579	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.3272	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.2952	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.3540	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.3602	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.3316	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.3689	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.3500	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.3496	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.3093	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.3202	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.3077	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.3245	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.3867	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.3197	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.3594	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.3054	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.4002	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.3054	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.4325	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.3267	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.3894	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.3029	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.3164	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.2394	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.3029	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.2975	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.3909	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.3544	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.3488	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.4502	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.3111	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.3298	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.3435	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.4335	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.3684	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.3590	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.3465	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.3313	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.3427	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.3118	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.3633	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.3147	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.3643	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.3216	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.3196	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.3530	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.4277	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.2973	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.3043	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.3234	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.2789	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.3312	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.3136	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.4584	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.3881	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.3166	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.3500	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.2860	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.3349	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.2499	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.3114	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.3410	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.3306	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.2499	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.2969	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.3024	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.3423	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.3287	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.3510	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.3492	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.3651	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.2722	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.3240	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.4336	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.3255	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.3184	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.3330	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.3308	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.4254	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.3636	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2848	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.3342	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.3194	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.3708	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.4113	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.3147	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.2662	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.2159	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.3612	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.3557	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.3166	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.3321	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.2721	LR: 0.000800
Training Epoch: 16 [38912/46250]	Loss: 0.3675	LR: 0.000800
Training Epoch: 16 [39168/46250]	Loss: 0.3247	LR: 0.000800
Training Epoch: 16 [39424/46250]	Loss: 0.3558	LR: 0.000800
Training Epoch: 16 [39680/46250]	Loss: 0.2959	LR: 0.000800
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Training Epoch: 16 [42496/46250]	Loss: 0.3299	LR: 0.000800
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Training Epoch: 16 [43008/46250]	Loss: 0.3656	LR: 0.000800
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Training Epoch: 16 [43520/46250]	Loss: 0.3941	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.3405	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2385	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3700	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.3025	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2566	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3537	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.3241	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2879	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.3831	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3253	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2372	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3286, Train Accuracy: 0.8876
Epoch 16 training time consumed: 25.67s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8705, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.3486	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.3481	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.3161	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.2482	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.3553	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2983	LR: 0.000800
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Training Epoch: 17 [2048/46250]	Loss: 0.3495	LR: 0.000800
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Training Epoch: 17 [44288/46250]	Loss: 0.3490	LR: 0.000800
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Training Epoch: 17 [45056/46250]	Loss: 0.4035	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.3263	LR: 0.000800
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Training Epoch: 17 [45824/46250]	Loss: 0.3466	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.3616	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3340	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3277, Train Accuracy: 0.8884
Epoch 17 training time consumed: 25.74s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8709, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.3109	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.3693	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.2787	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2885	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.3742	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.3685	LR: 0.000800
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Training Epoch: 18 [2048/46250]	Loss: 0.3445	LR: 0.000800
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Training Epoch: 18 [5120/46250]	Loss: 0.3536	LR: 0.000800
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Training Epoch: 18 [40448/46250]	Loss: 0.3252	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.3189	LR: 0.000800
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Training Epoch: 18 [41728/46250]	Loss: 0.3231	LR: 0.000800
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Training Epoch: 18 [42496/46250]	Loss: 0.3304	LR: 0.000800
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Training Epoch: 18 [43008/46250]	Loss: 0.3179	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.3786	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.3440	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2405	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2869	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.3211	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.4222	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3116	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.3028	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.3131	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.3060	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.3205	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2681	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3259, Train Accuracy: 0.8892
Epoch 18 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8718, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.3525	LR: 0.000800
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Training Epoch: 19 [1280/46250]	Loss: 0.3754	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.3379	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2863	LR: 0.000800
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Training Epoch: 19 [24576/46250]	Loss: 0.2795	LR: 0.000800
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Training Epoch: 19 [28928/46250]	Loss: 0.3374	LR: 0.000800
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Training Epoch: 19 [45568/46250]	Loss: 0.3399	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2975	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3643	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3231, Train Accuracy: 0.8898
Epoch 19 training time consumed: 26.21s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0015, Accuracy: 0.8738, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_13m_10s/AllCNN-Cifar10-seed4-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.3413	LR: 0.000800
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Training Epoch: 20 [46250/46250]	Loss: 0.3699	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3218, Train Accuracy: 0.8914
Epoch 20 training time consumed: 25.71s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0015, Accuracy: 0.8717, Time consumed:1.02s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 87.03125
Retain Accuracy: 89.46698760986328
Zero-Retain Forget (ZRF): 0.8591245412826538
Membership Inference Attack (MIA): 0.5717333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.532
Forget vs Test Membership Inference Attack (MIA): 0.5533333333333333
Test vs Retain Membership Inference Attack (MIA): 0.5075
Train vs Test Membership Inference Attack (MIA): 0.5215
Forget Set Accuracy (Df): 86.19886016845703
Method Execution Time: 1041.72 seconds
