hello
hello

📌 Retain class distribution for seed 1:
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 1:
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: 2.3261	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3519	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3629	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3134	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3214	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2893	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2977	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2766	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2392	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2290	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2268	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.2001	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1664	LR: 0.006630
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Training Epoch: 1 [3840/46250]	Loss: 2.1331	LR: 0.007735
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Training Epoch: 1 [5888/46250]	Loss: 2.0264	LR: 0.012155
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Training Epoch: 1 [6400/46250]	Loss: 1.9458	LR: 0.013260
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Training Epoch: 1 [8448/46250]	Loss: 1.9259	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 1.8607	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8243	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.9797	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7705	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.8326	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8625	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.8461	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7450	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.8046	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.7630	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.8027	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7333	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.7959	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7243	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.7534	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7450	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.7845	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7562	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7092	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.6716	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.7037	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.7691	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7044	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7008	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.6126	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.7098	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.6994	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7311	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.6992	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.6794	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6791	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.6504	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.5960	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.6531	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.5458	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.6026	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.7759	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.6516	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.7307	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.5526	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.5766	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.5670	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.5825	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.6870	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.6268	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6167	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.5951	LR: 0.044199
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Training Epoch: 1 [21248/46250]	Loss: 1.5181	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6647	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.5021	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6113	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.6020	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.5196	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.5385	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.5754	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.4716	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.5496	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.5651	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5814	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.6048	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.5336	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.4392	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.5717	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.5314	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.4976	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.6647	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.5933	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.5979	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.5564	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.6007	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.3763	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5503	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.6010	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.4974	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.5781	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.5248	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.5292	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.4891	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.5714	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.4416	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.4164	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.5554	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.5915	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.4935	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.4487	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.5545	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.4432	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.5434	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.3855	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.6056	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.4870	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.3463	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.4020	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4888	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.4904	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.4354	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.5502	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.4301	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5037	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4912	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.4240	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4761	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.4659	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4167	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.4385	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4808	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.4432	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4727	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.4508	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.3936	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.5251	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.3685	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.4393	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.3087	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.2949	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.3961	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.4821	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.4208	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.5005	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.3267	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4433	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.4290	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.3407	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.4528	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.3901	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.3652	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.4026	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.3815	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.3234	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.3809	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.3836	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.3217	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.4158	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.3361	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.3473	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4808	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.2952	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.3660	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4320	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3575	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.2788	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.2557	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4390	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4281	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3531	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.4181	LR: 0.099448
Epoch 1 - Average Train Loss: 1.6511, Train Accuracy: 0.3882
Epoch 1 training time consumed: 26.74s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0100, Accuracy: 0.3769, Time consumed:1.04s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.3436	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.3551	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.2985	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.3835	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3527	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3172	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4017	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.4102	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3333	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.4963	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.3694	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.3130	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3082	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.3219	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3876	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3638	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.4415	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.3294	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.2761	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.2433	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.3836	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.3561	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.3367	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.3880	LR: 0.100000
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Training Epoch: 2 [6656/46250]	Loss: 1.3755	LR: 0.100000
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Training Epoch: 2 [7168/46250]	Loss: 1.2089	LR: 0.100000
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Training Epoch: 2 [7680/46250]	Loss: 1.3435	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.2448	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.1454	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.3981	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.3421	LR: 0.100000
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Training Epoch: 2 [9216/46250]	Loss: 1.2758	LR: 0.100000
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Training Epoch: 2 [13056/46250]	Loss: 1.2853	LR: 0.100000
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Training Epoch: 2 [13568/46250]	Loss: 1.1821	LR: 0.100000
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Training Epoch: 2 [14592/46250]	Loss: 1.1533	LR: 0.100000
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Training Epoch: 2 [15104/46250]	Loss: 1.3139	LR: 0.100000
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Training Epoch: 2 [19200/46250]	Loss: 1.1250	LR: 0.100000
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Training Epoch: 2 [23040/46250]	Loss: 1.3279	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.1813	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1873, Train Accuracy: 0.5705
Epoch 2 training time consumed: 25.68s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0047, Accuracy: 0.5894, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.1672	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.8576	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9909, Train Accuracy: 0.6460
Epoch 3 training time consumed: 25.75s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0039, Accuracy: 0.6656, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8893	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.8796	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8664, Train Accuracy: 0.6944
Epoch 4 training time consumed: 25.86s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0037, Accuracy: 0.6836, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.7453	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7628, Train Accuracy: 0.7328
Epoch 5 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0033, Accuracy: 0.7234, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.7113	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.7221	LR: 0.100000
Epoch 6 - Average Train Loss: 0.7026, Train Accuracy: 0.7560
Epoch 6 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.7554, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.6652	LR: 0.100000
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Training Epoch: 7 [18176/46250]	Loss: 0.6345	LR: 0.100000
Training Epoch: 7 [18432/46250]	Loss: 0.6420	LR: 0.100000
Training Epoch: 7 [18688/46250]	Loss: 0.7082	LR: 0.100000
Training Epoch: 7 [18944/46250]	Loss: 0.6371	LR: 0.100000
Training Epoch: 7 [19200/46250]	Loss: 0.7609	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.8570	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.6493	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.6454	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.6005	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.6743	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.6351	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.6675	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.7934	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.6621	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.7120	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.8139	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.6503	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.6985	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.6663	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.6860	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.6917	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.5911	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.7262	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.5811	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.7217	LR: 0.100000
Training Epoch: 7 [24576/46250]	Loss: 0.5599	LR: 0.100000
Training Epoch: 7 [24832/46250]	Loss: 0.7370	LR: 0.100000
Training Epoch: 7 [25088/46250]	Loss: 0.6229	LR: 0.100000
Training Epoch: 7 [25344/46250]	Loss: 0.6279	LR: 0.100000
Training Epoch: 7 [25600/46250]	Loss: 0.6304	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.6402	LR: 0.100000
Training Epoch: 7 [26112/46250]	Loss: 0.6708	LR: 0.100000
Training Epoch: 7 [26368/46250]	Loss: 0.7521	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.6129	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.6802	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.5274	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.6168	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.5824	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.7480	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.5781	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.5167	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.6662	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.7348	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.6441	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.6803	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.6267	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.5982	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.5348	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.6150	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.6595	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.6064	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.5632	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.6310	LR: 0.100000
Training Epoch: 7 [31744/46250]	Loss: 0.5564	LR: 0.100000
Training Epoch: 7 [32000/46250]	Loss: 0.6295	LR: 0.100000
Training Epoch: 7 [32256/46250]	Loss: 0.5675	LR: 0.100000
Training Epoch: 7 [32512/46250]	Loss: 0.6291	LR: 0.100000
Training Epoch: 7 [32768/46250]	Loss: 0.5328	LR: 0.100000
Training Epoch: 7 [33024/46250]	Loss: 0.5806	LR: 0.100000
Training Epoch: 7 [33280/46250]	Loss: 0.6781	LR: 0.100000
Training Epoch: 7 [33536/46250]	Loss: 0.5746	LR: 0.100000
Training Epoch: 7 [33792/46250]	Loss: 0.7373	LR: 0.100000
Training Epoch: 7 [34048/46250]	Loss: 0.5356	LR: 0.100000
Training Epoch: 7 [34304/46250]	Loss: 0.6896	LR: 0.100000
Training Epoch: 7 [34560/46250]	Loss: 0.5814	LR: 0.100000
Training Epoch: 7 [34816/46250]	Loss: 0.7048	LR: 0.100000
Training Epoch: 7 [35072/46250]	Loss: 0.6758	LR: 0.100000
Training Epoch: 7 [35328/46250]	Loss: 0.5419	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.6677	LR: 0.100000
Training Epoch: 7 [35840/46250]	Loss: 0.4759	LR: 0.100000
Training Epoch: 7 [36096/46250]	Loss: 0.5478	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.7052	LR: 0.100000
Training Epoch: 7 [36608/46250]	Loss: 0.7100	LR: 0.100000
Training Epoch: 7 [36864/46250]	Loss: 0.5280	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.5706	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.6542	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.7218	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.6041	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.5571	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.6759	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.6957	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.6181	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.6070	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.5862	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.6776	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.5531	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.6489	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.5460	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.6652	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.7469	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.6328	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.6419	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.5941	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.7352	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.7384	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.6137	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.7200	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.7018	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.7477	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.6261	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.6294	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.7242	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.5386	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.6782	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.6542	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.5663	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.6683	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.5439	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.7338	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.6004	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.5922	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6450, Train Accuracy: 0.7747
Epoch 7 training time consumed: 25.65s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0031, Accuracy: 0.7461, Time consumed:1.02s
Training Epoch: 8 [256/46250]	Loss: 0.6314	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.6063	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.5522	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.5781	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.6955	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.6130	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.5651	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.5950	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.5535	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.5072	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.5343	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.5682	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.4917	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.5041	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.5006	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.6189	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.5991	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.6072	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.5226	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.4872	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.4512	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.5263	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.4263	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.4770	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.4774	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.6045	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.5497	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.5918	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.4877	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.5589	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.5804	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.5005	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.5054	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.4364	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.4201	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.5367	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.4771	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.6270	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.5296	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.4992	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.4860	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.5376	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.5930	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.4508	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.5166	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.5707	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.6039	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.4863	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.4542	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.5416	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.6190	LR: 0.020000
Training Epoch: 8 [13312/46250]	Loss: 0.5114	LR: 0.020000
Training Epoch: 8 [13568/46250]	Loss: 0.5280	LR: 0.020000
Training Epoch: 8 [13824/46250]	Loss: 0.4988	LR: 0.020000
Training Epoch: 8 [14080/46250]	Loss: 0.5160	LR: 0.020000
Training Epoch: 8 [14336/46250]	Loss: 0.4540	LR: 0.020000
Training Epoch: 8 [14592/46250]	Loss: 0.4921	LR: 0.020000
Training Epoch: 8 [14848/46250]	Loss: 0.4665	LR: 0.020000
Training Epoch: 8 [15104/46250]	Loss: 0.4704	LR: 0.020000
Training Epoch: 8 [15360/46250]	Loss: 0.4474	LR: 0.020000
Training Epoch: 8 [15616/46250]	Loss: 0.4729	LR: 0.020000
Training Epoch: 8 [15872/46250]	Loss: 0.5517	LR: 0.020000
Training Epoch: 8 [16128/46250]	Loss: 0.5690	LR: 0.020000
Training Epoch: 8 [16384/46250]	Loss: 0.5956	LR: 0.020000
Training Epoch: 8 [16640/46250]	Loss: 0.4513	LR: 0.020000
Training Epoch: 8 [16896/46250]	Loss: 0.4955	LR: 0.020000
Training Epoch: 8 [17152/46250]	Loss: 0.4594	LR: 0.020000
Training Epoch: 8 [17408/46250]	Loss: 0.5123	LR: 0.020000
Training Epoch: 8 [17664/46250]	Loss: 0.4983	LR: 0.020000
Training Epoch: 8 [17920/46250]	Loss: 0.4939	LR: 0.020000
Training Epoch: 8 [18176/46250]	Loss: 0.4726	LR: 0.020000
Training Epoch: 8 [18432/46250]	Loss: 0.5495	LR: 0.020000
Training Epoch: 8 [18688/46250]	Loss: 0.4888	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.5394	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.4561	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.4602	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.4759	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.4729	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.5158	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.4905	LR: 0.020000
Training Epoch: 8 [20736/46250]	Loss: 0.5386	LR: 0.020000
Training Epoch: 8 [20992/46250]	Loss: 0.4868	LR: 0.020000
Training Epoch: 8 [21248/46250]	Loss: 0.5156	LR: 0.020000
Training Epoch: 8 [21504/46250]	Loss: 0.4775	LR: 0.020000
Training Epoch: 8 [21760/46250]	Loss: 0.4457	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.4800	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.4856	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.5169	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.4505	LR: 0.020000
Training Epoch: 8 [23040/46250]	Loss: 0.5650	LR: 0.020000
Training Epoch: 8 [23296/46250]	Loss: 0.4640	LR: 0.020000
Training Epoch: 8 [23552/46250]	Loss: 0.5041	LR: 0.020000
Training Epoch: 8 [23808/46250]	Loss: 0.5351	LR: 0.020000
Training Epoch: 8 [24064/46250]	Loss: 0.4597	LR: 0.020000
Training Epoch: 8 [24320/46250]	Loss: 0.4389	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.4523	LR: 0.020000
Training Epoch: 8 [24832/46250]	Loss: 0.5303	LR: 0.020000
Training Epoch: 8 [25088/46250]	Loss: 0.4686	LR: 0.020000
Training Epoch: 8 [25344/46250]	Loss: 0.5146	LR: 0.020000
Training Epoch: 8 [25600/46250]	Loss: 0.4616	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.5224	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.4115	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.4447	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.4577	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.5578	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.4974	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.5037	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.5036	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.4487	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.5136	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.4684	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.5024	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.4557	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.4446	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.5354	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.5846	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.4096	LR: 0.020000
Training Epoch: 8 [30208/46250]	Loss: 0.4769	LR: 0.020000
Training Epoch: 8 [30464/46250]	Loss: 0.4829	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.5079	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.4739	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.4664	LR: 0.020000
Training Epoch: 8 [31488/46250]	Loss: 0.4487	LR: 0.020000
Training Epoch: 8 [31744/46250]	Loss: 0.5271	LR: 0.020000
Training Epoch: 8 [32000/46250]	Loss: 0.4010	LR: 0.020000
Training Epoch: 8 [32256/46250]	Loss: 0.4770	LR: 0.020000
Training Epoch: 8 [32512/46250]	Loss: 0.5062	LR: 0.020000
Training Epoch: 8 [32768/46250]	Loss: 0.4981	LR: 0.020000
Training Epoch: 8 [33024/46250]	Loss: 0.4901	LR: 0.020000
Training Epoch: 8 [33280/46250]	Loss: 0.4468	LR: 0.020000
Training Epoch: 8 [33536/46250]	Loss: 0.5462	LR: 0.020000
Training Epoch: 8 [33792/46250]	Loss: 0.3808	LR: 0.020000
Training Epoch: 8 [34048/46250]	Loss: 0.4788	LR: 0.020000
Training Epoch: 8 [34304/46250]	Loss: 0.4010	LR: 0.020000
Training Epoch: 8 [34560/46250]	Loss: 0.3599	LR: 0.020000
Training Epoch: 8 [34816/46250]	Loss: 0.4457	LR: 0.020000
Training Epoch: 8 [35072/46250]	Loss: 0.4313	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.5533	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.4506	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.5608	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.4489	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.5676	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.4781	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.4466	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.4202	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.4031	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.6215	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.5174	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.3917	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.4589	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.4627	LR: 0.020000
Training Epoch: 8 [38912/46250]	Loss: 0.5408	LR: 0.020000
Training Epoch: 8 [39168/46250]	Loss: 0.4774	LR: 0.020000
Training Epoch: 8 [39424/46250]	Loss: 0.4582	LR: 0.020000
Training Epoch: 8 [39680/46250]	Loss: 0.4224	LR: 0.020000
Training Epoch: 8 [39936/46250]	Loss: 0.4727	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.3841	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.4453	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.4633	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.4659	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.4582	LR: 0.020000
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Training Epoch: 8 [43008/46250]	Loss: 0.3717	LR: 0.020000
Training Epoch: 8 [43264/46250]	Loss: 0.5155	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.3983	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.5054	LR: 0.020000
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Training Epoch: 8 [44288/46250]	Loss: 0.5362	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.4981	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.3812	LR: 0.020000
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Training Epoch: 8 [45568/46250]	Loss: 0.4802	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.4204	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.4868	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.4531	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4962, Train Accuracy: 0.8297
Epoch 8 training time consumed: 25.74s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8439, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4080	LR: 0.020000
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Training Epoch: 9 [46250/46250]	Loss: 0.5018	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4526, Train Accuracy: 0.8441
Epoch 9 training time consumed: 25.70s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0019, Accuracy: 0.8394, Time consumed:0.91s
Training Epoch: 10 [256/46250]	Loss: 0.3910	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.4649	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.3303	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4294, Train Accuracy: 0.8535
Epoch 10 training time consumed: 25.84s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8504, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.4603	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.4252	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.4175	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4114, Train Accuracy: 0.8594
Epoch 11 training time consumed: 25.78s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0019, Accuracy: 0.8412, Time consumed:0.99s
Training Epoch: 12 [256/46250]	Loss: 0.3090	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.5535	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3223	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3811	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.4478	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.4492	LR: 0.004000
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Training Epoch: 12 [5632/46250]	Loss: 0.3276	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.3726	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3945	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3661, Train Accuracy: 0.8749
Epoch 12 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0016, Accuracy: 0.8666, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3735	LR: 0.004000
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Training Epoch: 13 [44032/46250]	Loss: 0.3086	LR: 0.004000
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Training Epoch: 13 [45056/46250]	Loss: 0.3492	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3640	LR: 0.004000
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Training Epoch: 13 [46080/46250]	Loss: 0.3677	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3805	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3537, Train Accuracy: 0.8776
Epoch 13 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8705, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3511	LR: 0.004000
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Training Epoch: 14 [46250/46250]	Loss: 0.3112	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3407, Train Accuracy: 0.8837
Epoch 14 training time consumed: 25.88s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8673, Time consumed:0.95s
Training Epoch: 15 [256/46250]	Loss: 0.3428	LR: 0.004000
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Training Epoch: 15 [12288/46250]	Loss: 0.4052	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.3283	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.2940	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.2990	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.2822	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.2920	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.3967	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.3116	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.3446	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.3447	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.4237	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.2535	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.3441	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.2685	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.3892	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.3068	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.3040	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.3775	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.3405	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.3445	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.2858	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.3317	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.4203	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.3530	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.4083	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.3434	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.3095	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.3534	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.2911	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.3186	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.3697	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.2627	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.3474	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.3410	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.3316	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.3748	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.3264	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.4258	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.3319	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.3721	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.2986	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.3046	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.3513	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.3098	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.3488	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.3351	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.3560	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.3517	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.4244	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.2837	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.3137	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.3864	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.3274	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.3422	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.3687	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.3596	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.3639	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.2782	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.3178	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.3071	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.3626	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.2647	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.3356	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.3139	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.3594	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.2850	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.4076	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.3112	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.3921	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.3415	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.3135	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.2157	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.3702	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.3675	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.3767	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.3313	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.2574	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.3340	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.2976	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.2743	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.2667	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.2836	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.3581	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.3306	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.2784	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.2859	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.2971	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.3826	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.4086	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.3007	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.3451	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.3639	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.3647	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.4426	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.3040	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.3145	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.2958	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.3559	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.3690	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.3053	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.3373	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.3745	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.3683	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.3712	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.3694	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.3465	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.3530	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.3638	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.3786	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.3383	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.3930	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.3760	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.3246	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.3612	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.3662	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.2653	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.3377	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.3052	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.2955	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.4072	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.3518	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.3575	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.3838	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.3004	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.3533	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.4383	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.2106	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.3376	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.4146	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.3584	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.2739	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.3364	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.3174	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.4475	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3363, Train Accuracy: 0.8846
Epoch 15 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8703, Time consumed:0.92s
Training Epoch: 16 [256/46250]	Loss: 0.2800	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.2999	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.3068	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.2729	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.3438	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.3024	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.3714	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.2540	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.3410	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.2667	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.3387	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.3316	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.3226	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.3210	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.2937	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.2938	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.3707	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.3344	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.3005	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.3355	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.3799	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.2509	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.3135	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.3335	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.3043	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.3873	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.2718	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.3386	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.3614	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.3274	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.3124	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.3030	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.3263	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.3205	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.3734	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.3357	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.3960	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.3652	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.2542	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.3553	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.3292	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.2716	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.3002	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.3233	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.2881	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.2802	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.3614	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.2843	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.2715	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.3147	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.3422	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.2362	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.2768	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.2133	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.2715	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.3174	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.3247	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.3021	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.4112	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.3040	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.4553	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.3111	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.4166	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.3979	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.2620	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.3031	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.3641	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.3298	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.2603	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.2886	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.2783	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.3260	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.3592	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.3371	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.3762	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.3174	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.3366	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.3446	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.4734	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.3636	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.3598	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.2740	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.3142	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.3456	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.3084	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.3343	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.3244	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.3817	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.2596	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.3610	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.3125	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.4640	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.3213	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.3069	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.2963	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.3025	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.1798	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.2629	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.3223	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.3576	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.2992	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.2790	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.2914	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.2897	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.3252	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.2652	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.3299	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.3254	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.3946	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.3235	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.3794	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.3831	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.2377	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.3271	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.3833	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.3072	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.3040	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.3320	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.2966	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.3305	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.3402	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.3108	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.2738	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.3014	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.3116	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.3398	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.3891	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.4207	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.2738	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.2859	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.2941	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.2605	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.3853	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.3242	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.2708	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.3387	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.3320	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.3548	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.3596	LR: 0.000800
Training Epoch: 16 [38912/46250]	Loss: 0.3477	LR: 0.000800
Training Epoch: 16 [39168/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 16 [39424/46250]	Loss: 0.2694	LR: 0.000800
Training Epoch: 16 [39680/46250]	Loss: 0.3030	LR: 0.000800
Training Epoch: 16 [39936/46250]	Loss: 0.3244	LR: 0.000800
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Training Epoch: 16 [43520/46250]	Loss: 0.3738	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.3413	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.3249	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3261	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.3295	LR: 0.000800
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Training Epoch: 16 [45056/46250]	Loss: 0.3797	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2563	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.3413	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.3237	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2815	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2601	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3225, Train Accuracy: 0.8912
Epoch 16 training time consumed: 25.79s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8735, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2422	LR: 0.000800
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Training Epoch: 17 [45824/46250]	Loss: 0.3591	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.3054	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3151	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3200, Train Accuracy: 0.8912
Epoch 17 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8730, Time consumed:0.99s
Training Epoch: 18 [256/46250]	Loss: 0.3382	LR: 0.000800
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Training Epoch: 18 [1024/46250]	Loss: 0.3360	LR: 0.000800
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Training Epoch: 18 [19456/46250]	Loss: 0.2900	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.3450	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.3084	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.3915	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.2830	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.3458	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.3247	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.3909	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.3258	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.3497	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.3986	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.2970	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.2693	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.3426	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.3217	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.3099	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.3431	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.2722	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.3722	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.3127	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.2972	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.3317	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.4077	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.2598	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.3417	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.3114	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.2752	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.2464	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.2646	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.3511	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.2616	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.4127	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.3195	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.3103	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.2959	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.3128	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.3868	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.2903	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.3444	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.2724	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.2816	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.2780	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.3650	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.3604	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.3464	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.4393	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.4397	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.2910	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.2448	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.3903	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.3632	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.3639	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.2865	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.3588	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.3954	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.3719	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.2882	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.3567	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.2796	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.3380	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.2836	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.3069	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.3130	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.2691	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.3791	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.4335	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.3557	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.3523	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.2367	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.3517	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.3623	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.3025	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.3382	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.2780	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.3420	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.3469	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.2728	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.3045	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.2938	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.2669	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.3008	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2936	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.2899	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.2988	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.3279	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.4249	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.3348	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.3380	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.3001	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.3070	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2463	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.3233	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.3043	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.3160	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3443	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.3572	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2493	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3389	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.3431	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.3064	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.3787	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.3242	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2632	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3204, Train Accuracy: 0.8918
Epoch 18 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8735, Time consumed:0.96s
Training Epoch: 19 [256/46250]	Loss: 0.3997	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.3349	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.3845	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.2692	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.4106	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.3277	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2932	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.3055	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.3489	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.3622	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.3518	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.3349	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.2842	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.3532	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.3389	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.3496	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.4372	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.3498	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.3375	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.3161	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.3200	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.3377	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.3403	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.3110	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.3293	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.4244	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.3120	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.2902	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.3811	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.3356	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.3525	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.3047	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.3063	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.2273	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.3527	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.3449	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.3284	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.2090	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.2563	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2697	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.3337	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.3730	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2894	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.3344	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.2995	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.3258	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.3148	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.3250	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.2560	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.3677	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.3174	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.3363	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.3538	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2935	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.2939	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.3300	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.3714	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.3054	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.3161	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.2747	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.3053	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.2949	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.2873	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.2977	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.3406	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.2518	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.3849	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.2916	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.3142	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.3574	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.3005	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.3235	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.3545	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.2577	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2848	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.3175	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.3668	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.3737	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.2150	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.3152	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.3388	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.3797	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.3158	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.3768	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.3000	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.3047	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.2597	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.3625	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.3906	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.3123	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.3933	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.3396	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.3298	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.2903	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.3635	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.3302	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.3487	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.3502	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.3449	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.3898	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.3322	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.3110	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.2354	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.2618	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.4038	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.2767	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.3410	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.2355	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.3200	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.2847	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.3393	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.2931	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.3437	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.2406	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.3677	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.3050	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.3479	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.3354	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.3392	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.2941	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.3334	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2945	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.2880	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.2761	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.3816	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.2808	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.2667	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.3759	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.2112	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.3304	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.2870	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.3760	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.3494	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.3664	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.3303	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.3460	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.3161	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.3878	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.3079	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.2669	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.2625	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.3543	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.3173	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.2685	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.3833	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.3784	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.3067	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.2951	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.2905	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.3167	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.3267	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.3213	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.3160	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2684	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.3540	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.2934	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3179, Train Accuracy: 0.8917
Epoch 19 training time consumed: 26.21s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0015, Accuracy: 0.8740, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.3458	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.3542	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.3279	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.3365	LR: 0.000800
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Training Epoch: 20 [44288/46250]	Loss: 0.3061	LR: 0.000800
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Training Epoch: 20 [45312/46250]	Loss: 0.2506	LR: 0.000800
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Training Epoch: 20 [45824/46250]	Loss: 0.3286	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.3834	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3613	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3174, Train Accuracy: 0.8921
Epoch 20 training time consumed: 25.86s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0015, Accuracy: 0.8748, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_20m_18s/AllCNN-Cifar10-seed1-ret25-20-best.pth
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: 87.626953125
Retain Accuracy: 89.62445831298828
Zero-Retain Forget (ZRF): 0.860440731048584
Membership Inference Attack (MIA): 0.4152
Forget vs Retain Membership Inference Attack (MIA): 0.5053333333333333
Forget vs Test Membership Inference Attack (MIA): 0.5486666666666666
Test vs Retain Membership Inference Attack (MIA): 0.503
Train vs Test Membership Inference Attack (MIA): 0.513
Forget Set Accuracy (Df): 86.17282104492188
Method Execution Time: 1042.88 seconds
