hello
hello

📌 Retain class distribution for seed 5:
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 5:
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: 2.3012	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3148	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3072	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.2835	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2930	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2766	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2905	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2690	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2325	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2213	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2080	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1639	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1538	LR: 0.006630
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Training Epoch: 1 [3840/46250]	Loss: 2.1329	LR: 0.007735
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Training Epoch: 1 [4352/46250]	Loss: 2.1364	LR: 0.008840
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Training Epoch: 1 [4864/46250]	Loss: 2.1038	LR: 0.009945
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Training Epoch: 1 [5888/46250]	Loss: 2.0383	LR: 0.012155
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Training Epoch: 1 [8448/46250]	Loss: 1.8819	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 1.7981	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8090	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.8994	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7857	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7911	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8796	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7893	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7600	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7738	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.7736	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7200	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7199	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.7853	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7689	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.6614	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.8640	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.6972	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7315	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.6741	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.8366	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.8438	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6650	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7081	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.6525	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.6369	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.6216	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.7011	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.6235	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.7015	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.6039	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.5938	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.5943	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.6781	LR: 0.036464
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Training Epoch: 1 [17664/46250]	Loss: 1.6338	LR: 0.037569
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Training Epoch: 1 [18176/46250]	Loss: 1.7742	LR: 0.038674
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Training Epoch: 1 [18688/46250]	Loss: 1.6408	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.7055	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.6964	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.5961	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.5943	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.6499	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.5962	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.5963	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.5786	LR: 0.044199
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Training Epoch: 1 [21248/46250]	Loss: 1.6817	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6330	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.5985	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6229	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.5536	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.5632	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6213	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.5960	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.5817	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.5413	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.4984	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5004	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.5443	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.5071	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.4919	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.4287	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.4521	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.4967	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.4684	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.5010	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.5493	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.5409	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.5696	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.5629	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5537	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.4871	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.5549	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.4875	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.5390	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.4868	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.4488	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.6081	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.5708	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.4667	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.4044	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.4629	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.3828	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.4926	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.3800	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.3676	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.4084	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.5244	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.4566	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.4250	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.4682	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.5214	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.5352	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.3582	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.4857	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4849	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.4200	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.3519	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4245	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.4327	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4921	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5335	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4238	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.5299	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4627	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.3363	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.2599	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.3961	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.3781	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.3255	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.3189	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.3739	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.4470	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.4255	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4092	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.3179	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.3773	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.4401	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.3985	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4556	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.5062	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.3888	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.4396	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.3194	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.3239	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.3379	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.4613	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.4079	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.4667	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4353	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.3997	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.3288	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.3802	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.3020	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4602	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.3325	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.3125	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.2711	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3778	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.3181	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.4046	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.3655	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.3327	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.4081	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.3622	LR: 0.099448
Epoch 1 - Average Train Loss: 1.6420, Train Accuracy: 0.3902
Epoch 1 training time consumed: 26.58s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0090, Accuracy: 0.3977, Time consumed:1.18s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.3234	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.3053	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.3577	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4237	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3823	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.2766	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.3847	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.3391	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3364	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.2534	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.2837	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.2543	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.2840	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.2873	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3498	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.2642	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.2454	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.1610	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.3606	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.2958	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.2162	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.3394	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.1980	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.2966	LR: 0.100000
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Training Epoch: 2 [6656/46250]	Loss: 1.3054	LR: 0.100000
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Training Epoch: 2 [7168/46250]	Loss: 1.3092	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.3389	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.2299	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.1888	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.4551	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.3170	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.2495	LR: 0.100000
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Training Epoch: 2 [9216/46250]	Loss: 1.2378	LR: 0.100000
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Training Epoch: 2 [11008/46250]	Loss: 1.2264	LR: 0.100000
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Training Epoch: 2 [14080/46250]	Loss: 1.1868	LR: 0.100000
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Training Epoch: 2 [14592/46250]	Loss: 1.1562	LR: 0.100000
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Training Epoch: 2 [15104/46250]	Loss: 1.1153	LR: 0.100000
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Training Epoch: 2 [16896/46250]	Loss: 1.2948	LR: 0.100000
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Training Epoch: 2 [18432/46250]	Loss: 1.1905	LR: 0.100000
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Training Epoch: 2 [19200/46250]	Loss: 1.2116	LR: 0.100000
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Training Epoch: 2 [23040/46250]	Loss: 1.2256	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.1971	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.0960	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1847, Train Accuracy: 0.5702
Epoch 2 training time consumed: 25.72s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0044, Accuracy: 0.6070, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0189	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 1.0172	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9903, Train Accuracy: 0.6483
Epoch 3 training time consumed: 25.85s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0052, Accuracy: 0.5974, Time consumed:0.98s
Training Epoch: 4 [256/46250]	Loss: 0.9210	LR: 0.100000
Training Epoch: 4 [512/46250]	Loss: 0.8767	LR: 0.100000
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Training Epoch: 4 [1024/46250]	Loss: 0.9443	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.7150	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8504, Train Accuracy: 0.7000
Epoch 4 training time consumed: 25.68s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0038, Accuracy: 0.6853, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.8119	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7682, Train Accuracy: 0.7299
Epoch 5 training time consumed: 25.69s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0032, Accuracy: 0.7261, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6500	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.5969	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6961, Train Accuracy: 0.7584
Epoch 6 training time consumed: 25.85s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0034, Accuracy: 0.7051, Time consumed:0.94s
Training Epoch: 7 [256/46250]	Loss: 0.7311	LR: 0.100000
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Training Epoch: 7 [46080/46250]	Loss: 0.5354	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.7300	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6484, Train Accuracy: 0.7732
Epoch 7 training time consumed: 25.93s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0030, Accuracy: 0.7574, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5371	LR: 0.020000
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Training Epoch: 8 [42496/46250]	Loss: 0.4723	LR: 0.020000
Training Epoch: 8 [42752/46250]	Loss: 0.4688	LR: 0.020000
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Training Epoch: 8 [43776/46250]	Loss: 0.5396	LR: 0.020000
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Training Epoch: 8 [44288/46250]	Loss: 0.4646	LR: 0.020000
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Training Epoch: 8 [44800/46250]	Loss: 0.3834	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.4790	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.4631	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.4777	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.5026	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.3722	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.5068	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4918, Train Accuracy: 0.8307
Epoch 8 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0020, Accuracy: 0.8318, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4636	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.3971	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.4405	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4639	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.6137	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4472, Train Accuracy: 0.8478
Epoch 9 training time consumed: 25.69s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8436, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4371	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4666	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3581	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.4400	LR: 0.020000
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Training Epoch: 10 [2048/46250]	Loss: 0.3855	LR: 0.020000
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Training Epoch: 10 [25600/46250]	Loss: 0.4954	LR: 0.020000
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Training Epoch: 10 [43520/46250]	Loss: 0.3674	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.4226	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.3202	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.5446	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.4322	LR: 0.020000
Training Epoch: 10 [44800/46250]	Loss: 0.3413	LR: 0.020000
Training Epoch: 10 [45056/46250]	Loss: 0.4661	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.4023	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.4388	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.4287	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.4098	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.4145	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4269, Train Accuracy: 0.8532
Epoch 10 training time consumed: 25.72s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8491, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.4519	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.4311	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.4432	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.4200	LR: 0.020000
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Training Epoch: 11 [40448/46250]	Loss: 0.3804	LR: 0.020000
Training Epoch: 11 [40704/46250]	Loss: 0.4388	LR: 0.020000
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Training Epoch: 11 [42496/46250]	Loss: 0.3806	LR: 0.020000
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Training Epoch: 11 [44288/46250]	Loss: 0.3574	LR: 0.020000
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Training Epoch: 11 [44800/46250]	Loss: 0.3410	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3606	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.4138	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3734	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4071, Train Accuracy: 0.8600
Epoch 11 training time consumed: 25.81s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8574, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-11-best.pth
Training Epoch: 12 [256/46250]	Loss: 0.3651	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.4200	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.4031	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3561	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3397	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.4386	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3149	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3275	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3804	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.4345	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3805	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.3815	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3830	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3307	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3566	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.3142	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3216	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.4135	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3099	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.3377	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.3706	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.4155	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3621, Train Accuracy: 0.8758
Epoch 12 training time consumed: 25.78s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8706, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3421	LR: 0.004000
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Training Epoch: 13 [31744/46250]	Loss: 0.3327	LR: 0.004000
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Training Epoch: 13 [43776/46250]	Loss: 0.3281	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3298	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3618	LR: 0.004000
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Training Epoch: 13 [44800/46250]	Loss: 0.3944	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3118	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2544	LR: 0.004000
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Training Epoch: 13 [45824/46250]	Loss: 0.3156	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.2923	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3476	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3469, Train Accuracy: 0.8821
Epoch 13 training time consumed: 25.88s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8690, Time consumed:0.99s
Training Epoch: 14 [256/46250]	Loss: 0.3738	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.3351	LR: 0.004000
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Training Epoch: 14 [44032/46250]	Loss: 0.3397	LR: 0.004000
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Training Epoch: 14 [44544/46250]	Loss: 0.3692	LR: 0.004000
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Training Epoch: 14 [45056/46250]	Loss: 0.2997	LR: 0.004000
Training Epoch: 14 [45312/46250]	Loss: 0.3035	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.2837	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.3017	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3387, Train Accuracy: 0.8844
Epoch 14 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8724, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.3196	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.3007	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.3092	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.3289	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.4482	LR: 0.004000
Training Epoch: 15 [1536/46250]	Loss: 0.2981	LR: 0.004000
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Training Epoch: 15 [11520/46250]	Loss: 0.3222	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.3406	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2929	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3357, Train Accuracy: 0.8849
Epoch 15 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8725, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.2669	LR: 0.000800
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Training Epoch: 16 [38400/46250]	Loss: 0.4215	LR: 0.000800
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Training Epoch: 16 [40448/46250]	Loss: 0.3334	LR: 0.000800
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Training Epoch: 16 [41984/46250]	Loss: 0.3408	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.2532	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.3182	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.3689	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.3393	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2896	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2449	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.3287	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2735	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3100	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.3665	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2665	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2681	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.3536	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2721	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2940	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.3344	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3214, Train Accuracy: 0.8887
Epoch 16 training time consumed: 25.74s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8736, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.3601	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.3158	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.3430	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.3431	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.3492	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.3951	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 17 [2816/46250]	Loss: 0.2944	LR: 0.000800
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Training Epoch: 17 [8448/46250]	Loss: 0.2936	LR: 0.000800
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Training Epoch: 17 [40448/46250]	Loss: 0.3712	LR: 0.000800
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Training Epoch: 17 [42496/46250]	Loss: 0.3436	LR: 0.000800
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Training Epoch: 17 [43264/46250]	Loss: 0.3316	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2700	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.3055	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.3134	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.2862	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.3182	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.3907	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3398	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2798	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.2889	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.3052	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.3245	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.2751	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3195, Train Accuracy: 0.8920
Epoch 17 training time consumed: 25.84s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8756, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.3530	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.3186	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.3424	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.3012	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.3380	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.3540	LR: 0.000800
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Training Epoch: 18 [40448/46250]	Loss: 0.3725	LR: 0.000800
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Training Epoch: 18 [41984/46250]	Loss: 0.2901	LR: 0.000800
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Training Epoch: 18 [43008/46250]	Loss: 0.3211	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2776	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.4086	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.3595	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2867	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.3336	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.3769	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3396	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.3334	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.3143	LR: 0.000800
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Training Epoch: 18 [46080/46250]	Loss: 0.2885	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.3202	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3186, Train Accuracy: 0.8916
Epoch 18 training time consumed: 25.93s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8766, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_30m_51s/AllCNN-Cifar10-seed5-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.2598	LR: 0.000800
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Training Epoch: 19 [2816/46250]	Loss: 0.3201	LR: 0.000800
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Training Epoch: 19 [44544/46250]	Loss: 0.3567	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.3614	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.3627	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.3791	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.3196	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.3156	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.3850	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3314	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3196, Train Accuracy: 0.8914
Epoch 19 training time consumed: 25.89s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8763, Time consumed:0.95s
Training Epoch: 20 [256/46250]	Loss: 0.3262	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.3629	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.2658	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.2996	LR: 0.000800
Training Epoch: 20 [1280/46250]	Loss: 0.3089	LR: 0.000800
Training Epoch: 20 [1536/46250]	Loss: 0.3030	LR: 0.000800
Training Epoch: 20 [1792/46250]	Loss: 0.3070	LR: 0.000800
Training Epoch: 20 [2048/46250]	Loss: 0.3237	LR: 0.000800
Training Epoch: 20 [2304/46250]	Loss: 0.2621	LR: 0.000800
Training Epoch: 20 [2560/46250]	Loss: 0.2656	LR: 0.000800
Training Epoch: 20 [2816/46250]	Loss: 0.3577	LR: 0.000800
Training Epoch: 20 [3072/46250]	Loss: 0.2723	LR: 0.000800
Training Epoch: 20 [3328/46250]	Loss: 0.2386	LR: 0.000800
Training Epoch: 20 [3584/46250]	Loss: 0.2410	LR: 0.000800
Training Epoch: 20 [3840/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 20 [4096/46250]	Loss: 0.3071	LR: 0.000800
Training Epoch: 20 [4352/46250]	Loss: 0.3968	LR: 0.000800
Training Epoch: 20 [4608/46250]	Loss: 0.2542	LR: 0.000800
Training Epoch: 20 [4864/46250]	Loss: 0.3245	LR: 0.000800
Training Epoch: 20 [5120/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [5376/46250]	Loss: 0.3459	LR: 0.000800
Training Epoch: 20 [5632/46250]	Loss: 0.3367	LR: 0.000800
Training Epoch: 20 [5888/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [6144/46250]	Loss: 0.3544	LR: 0.000800
Training Epoch: 20 [6400/46250]	Loss: 0.3100	LR: 0.000800
Training Epoch: 20 [6656/46250]	Loss: 0.2970	LR: 0.000800
Training Epoch: 20 [6912/46250]	Loss: 0.3252	LR: 0.000800
Training Epoch: 20 [7168/46250]	Loss: 0.3416	LR: 0.000800
Training Epoch: 20 [7424/46250]	Loss: 0.4012	LR: 0.000800
Training Epoch: 20 [7680/46250]	Loss: 0.3211	LR: 0.000800
Training Epoch: 20 [7936/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 20 [8192/46250]	Loss: 0.3304	LR: 0.000800
Training Epoch: 20 [8448/46250]	Loss: 0.3719	LR: 0.000800
Training Epoch: 20 [8704/46250]	Loss: 0.3469	LR: 0.000800
Training Epoch: 20 [8960/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 20 [9216/46250]	Loss: 0.2958	LR: 0.000800
Training Epoch: 20 [9472/46250]	Loss: 0.2568	LR: 0.000800
Training Epoch: 20 [9728/46250]	Loss: 0.3060	LR: 0.000800
Training Epoch: 20 [9984/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 20 [10240/46250]	Loss: 0.3053	LR: 0.000800
Training Epoch: 20 [10496/46250]	Loss: 0.2906	LR: 0.000800
Training Epoch: 20 [10752/46250]	Loss: 0.4001	LR: 0.000800
Training Epoch: 20 [11008/46250]	Loss: 0.3561	LR: 0.000800
Training Epoch: 20 [11264/46250]	Loss: 0.3151	LR: 0.000800
Training Epoch: 20 [11520/46250]	Loss: 0.2719	LR: 0.000800
Training Epoch: 20 [11776/46250]	Loss: 0.3602	LR: 0.000800
Training Epoch: 20 [12032/46250]	Loss: 0.3122	LR: 0.000800
Training Epoch: 20 [12288/46250]	Loss: 0.2954	LR: 0.000800
Training Epoch: 20 [12544/46250]	Loss: 0.3993	LR: 0.000800
Training Epoch: 20 [12800/46250]	Loss: 0.3506	LR: 0.000800
Training Epoch: 20 [13056/46250]	Loss: 0.3592	LR: 0.000800
Training Epoch: 20 [13312/46250]	Loss: 0.3251	LR: 0.000800
Training Epoch: 20 [13568/46250]	Loss: 0.3060	LR: 0.000800
Training Epoch: 20 [13824/46250]	Loss: 0.2416	LR: 0.000800
Training Epoch: 20 [14080/46250]	Loss: 0.2898	LR: 0.000800
Training Epoch: 20 [14336/46250]	Loss: 0.3439	LR: 0.000800
Training Epoch: 20 [14592/46250]	Loss: 0.3125	LR: 0.000800
Training Epoch: 20 [14848/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [15104/46250]	Loss: 0.4050	LR: 0.000800
Training Epoch: 20 [15360/46250]	Loss: 0.2701	LR: 0.000800
Training Epoch: 20 [15616/46250]	Loss: 0.2957	LR: 0.000800
Training Epoch: 20 [15872/46250]	Loss: 0.3223	LR: 0.000800
Training Epoch: 20 [16128/46250]	Loss: 0.3180	LR: 0.000800
Training Epoch: 20 [16384/46250]	Loss: 0.2890	LR: 0.000800
Training Epoch: 20 [16640/46250]	Loss: 0.2849	LR: 0.000800
Training Epoch: 20 [16896/46250]	Loss: 0.2942	LR: 0.000800
Training Epoch: 20 [17152/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 20 [17408/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 20 [17664/46250]	Loss: 0.3309	LR: 0.000800
Training Epoch: 20 [17920/46250]	Loss: 0.2431	LR: 0.000800
Training Epoch: 20 [18176/46250]	Loss: 0.3112	LR: 0.000800
Training Epoch: 20 [18432/46250]	Loss: 0.3081	LR: 0.000800
Training Epoch: 20 [18688/46250]	Loss: 0.3923	LR: 0.000800
Training Epoch: 20 [18944/46250]	Loss: 0.3655	LR: 0.000800
Training Epoch: 20 [19200/46250]	Loss: 0.2931	LR: 0.000800
Training Epoch: 20 [19456/46250]	Loss: 0.2627	LR: 0.000800
Training Epoch: 20 [19712/46250]	Loss: 0.2517	LR: 0.000800
Training Epoch: 20 [19968/46250]	Loss: 0.3319	LR: 0.000800
Training Epoch: 20 [20224/46250]	Loss: 0.2989	LR: 0.000800
Training Epoch: 20 [20480/46250]	Loss: 0.2040	LR: 0.000800
Training Epoch: 20 [20736/46250]	Loss: 0.2690	LR: 0.000800
Training Epoch: 20 [20992/46250]	Loss: 0.4200	LR: 0.000800
Training Epoch: 20 [21248/46250]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [21504/46250]	Loss: 0.3294	LR: 0.000800
Training Epoch: 20 [21760/46250]	Loss: 0.3363	LR: 0.000800
Training Epoch: 20 [22016/46250]	Loss: 0.3171	LR: 0.000800
Training Epoch: 20 [22272/46250]	Loss: 0.3044	LR: 0.000800
Training Epoch: 20 [22528/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 20 [22784/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 20 [23040/46250]	Loss: 0.2492	LR: 0.000800
Training Epoch: 20 [23296/46250]	Loss: 0.3404	LR: 0.000800
Training Epoch: 20 [23552/46250]	Loss: 0.3340	LR: 0.000800
Training Epoch: 20 [23808/46250]	Loss: 0.2693	LR: 0.000800
Training Epoch: 20 [24064/46250]	Loss: 0.3533	LR: 0.000800
Training Epoch: 20 [24320/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [24576/46250]	Loss: 0.3063	LR: 0.000800
Training Epoch: 20 [24832/46250]	Loss: 0.3167	LR: 0.000800
Training Epoch: 20 [25088/46250]	Loss: 0.3279	LR: 0.000800
Training Epoch: 20 [25344/46250]	Loss: 0.3573	LR: 0.000800
Training Epoch: 20 [25600/46250]	Loss: 0.3587	LR: 0.000800
Training Epoch: 20 [25856/46250]	Loss: 0.3277	LR: 0.000800
Training Epoch: 20 [26112/46250]	Loss: 0.3435	LR: 0.000800
Training Epoch: 20 [26368/46250]	Loss: 0.3199	LR: 0.000800
Training Epoch: 20 [26624/46250]	Loss: 0.3178	LR: 0.000800
Training Epoch: 20 [26880/46250]	Loss: 0.3754	LR: 0.000800
Training Epoch: 20 [27136/46250]	Loss: 0.2521	LR: 0.000800
Training Epoch: 20 [27392/46250]	Loss: 0.3068	LR: 0.000800
Training Epoch: 20 [27648/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 20 [27904/46250]	Loss: 0.2985	LR: 0.000800
Training Epoch: 20 [28160/46250]	Loss: 0.3259	LR: 0.000800
Training Epoch: 20 [28416/46250]	Loss: 0.2510	LR: 0.000800
Training Epoch: 20 [28672/46250]	Loss: 0.3604	LR: 0.000800
Training Epoch: 20 [28928/46250]	Loss: 0.3192	LR: 0.000800
Training Epoch: 20 [29184/46250]	Loss: 0.2862	LR: 0.000800
Training Epoch: 20 [29440/46250]	Loss: 0.3366	LR: 0.000800
Training Epoch: 20 [29696/46250]	Loss: 0.3502	LR: 0.000800
Training Epoch: 20 [29952/46250]	Loss: 0.2714	LR: 0.000800
Training Epoch: 20 [30208/46250]	Loss: 0.3183	LR: 0.000800
Training Epoch: 20 [30464/46250]	Loss: 0.2521	LR: 0.000800
Training Epoch: 20 [30720/46250]	Loss: 0.3275	LR: 0.000800
Training Epoch: 20 [30976/46250]	Loss: 0.3692	LR: 0.000800
Training Epoch: 20 [31232/46250]	Loss: 0.2483	LR: 0.000800
Training Epoch: 20 [31488/46250]	Loss: 0.3481	LR: 0.000800
Training Epoch: 20 [31744/46250]	Loss: 0.2700	LR: 0.000800
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Training Epoch: 20 [32512/46250]	Loss: 0.3176	LR: 0.000800
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Training Epoch: 20 [34816/46250]	Loss: 0.3608	LR: 0.000800
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Training Epoch: 20 [35328/46250]	Loss: 0.3162	LR: 0.000800
Training Epoch: 20 [35584/46250]	Loss: 0.3368	LR: 0.000800
Training Epoch: 20 [35840/46250]	Loss: 0.2911	LR: 0.000800
Training Epoch: 20 [36096/46250]	Loss: 0.3262	LR: 0.000800
Training Epoch: 20 [36352/46250]	Loss: 0.3603	LR: 0.000800
Training Epoch: 20 [36608/46250]	Loss: 0.3345	LR: 0.000800
Training Epoch: 20 [36864/46250]	Loss: 0.2356	LR: 0.000800
Training Epoch: 20 [37120/46250]	Loss: 0.3281	LR: 0.000800
Training Epoch: 20 [37376/46250]	Loss: 0.3569	LR: 0.000800
Training Epoch: 20 [37632/46250]	Loss: 0.3195	LR: 0.000800
Training Epoch: 20 [37888/46250]	Loss: 0.3415	LR: 0.000800
Training Epoch: 20 [38144/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 20 [38400/46250]	Loss: 0.3364	LR: 0.000800
Training Epoch: 20 [38656/46250]	Loss: 0.3532	LR: 0.000800
Training Epoch: 20 [38912/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [39168/46250]	Loss: 0.3385	LR: 0.000800
Training Epoch: 20 [39424/46250]	Loss: 0.3332	LR: 0.000800
Training Epoch: 20 [39680/46250]	Loss: 0.3259	LR: 0.000800
Training Epoch: 20 [39936/46250]	Loss: 0.3151	LR: 0.000800
Training Epoch: 20 [40192/46250]	Loss: 0.2807	LR: 0.000800
Training Epoch: 20 [40448/46250]	Loss: 0.2675	LR: 0.000800
Training Epoch: 20 [40704/46250]	Loss: 0.4562	LR: 0.000800
Training Epoch: 20 [40960/46250]	Loss: 0.3710	LR: 0.000800
Training Epoch: 20 [41216/46250]	Loss: 0.3313	LR: 0.000800
Training Epoch: 20 [41472/46250]	Loss: 0.3276	LR: 0.000800
Training Epoch: 20 [41728/46250]	Loss: 0.2793	LR: 0.000800
Training Epoch: 20 [41984/46250]	Loss: 0.3304	LR: 0.000800
Training Epoch: 20 [42240/46250]	Loss: 0.3350	LR: 0.000800
Training Epoch: 20 [42496/46250]	Loss: 0.3309	LR: 0.000800
Training Epoch: 20 [42752/46250]	Loss: 0.3000	LR: 0.000800
Training Epoch: 20 [43008/46250]	Loss: 0.3410	LR: 0.000800
Training Epoch: 20 [43264/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 20 [43520/46250]	Loss: 0.2574	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.3131	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.2954	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.3234	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.4413	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.3188	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.2647	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2218	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.4413	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3484	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.3607	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3114	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3151, Train Accuracy: 0.8913
Epoch 20 training time consumed: 25.37s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8752, Time consumed:0.90s
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: 87.666015625
Retain Accuracy: 89.71509552001953
Zero-Retain Forget (ZRF): 0.8564422130584717
Membership Inference Attack (MIA): 0.4189333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.49866666666666665
Forget vs Test Membership Inference Attack (MIA): 0.5406666666666666
Test vs Retain Membership Inference Attack (MIA): 0.4995
Train vs Test Membership Inference Attack (MIA): 0.51275
Forget Set Accuracy (Df): 87.24052429199219
Method Execution Time: 1030.77 seconds
