hello
hello

📌 Retain class distribution for seed 6:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌 Forget class distribution for seed 6:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500

📊 Updated class distribution:
Retain set:
  Class 0: 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: 2.3049	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3233	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.2951	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3137	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3070	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2908	LR: 0.002762
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Training Epoch: 1 [10240/46250]	Loss: 1.8750	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7189	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7959	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7051	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.6894	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7854	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7546	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.7424	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.8035	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.7071	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7394	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.7518	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7240	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.6601	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7739	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.6917	LR: 0.029834
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Training Epoch: 1 [14592/46250]	Loss: 1.7347	LR: 0.030939
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Training Epoch: 1 [20480/46250]	Loss: 1.5695	LR: 0.043646
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Training Epoch: 1 [22272/46250]	Loss: 1.5488	LR: 0.047514
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Training Epoch: 1 [23040/46250]	Loss: 1.6935	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.5975	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.6285	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.7628	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.6316	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.5800	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.5998	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.5142	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6370	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.5870	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.6827	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.6656	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.5545	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.5710	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.6928	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.4792	LR: 0.057459
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Training Epoch: 1 [27904/46250]	Loss: 1.4824	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.4990	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.5535	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.4927	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.4936	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.5438	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.5117	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.4745	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.6130	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.4957	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.3949	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.5409	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.5727	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.4706	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.3654	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.4606	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.5514	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.3410	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.4882	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.6117	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.5428	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.4148	LR: 0.071271
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Training Epoch: 1 [33792/46250]	Loss: 1.4146	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.4683	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5267	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4409	LR: 0.074033
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Training Epoch: 1 [35072/46250]	Loss: 1.5376	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.4273	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.5030	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.4633	LR: 0.076796
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Training Epoch: 1 [36352/46250]	Loss: 1.4858	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.5631	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.5202	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4665	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.3128	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.4136	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.4498	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.4788	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.5076	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4572	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.3531	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.5005	LR: 0.083978
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Training Epoch: 1 [39936/46250]	Loss: 1.4169	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.3248	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.3655	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.4024	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.3188	LR: 0.087845
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Training Epoch: 1 [41472/46250]	Loss: 1.3601	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.4749	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.2222	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.3575	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.3532	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.4946	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.5194	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4454	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.3493	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.3407	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4303	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.5246	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4649	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3045	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.3011	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.3248	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.2753	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.3165	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3642	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.3103	LR: 0.099448
Epoch 1 - Average Train Loss: 1.6650, Train Accuracy: 0.3834
Epoch 1 training time consumed: 26.26s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0077, Accuracy: 0.4021, Time consumed:1.09s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.3325	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.3405	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.3754	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.2802	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3371	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3015	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.3312	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.3506	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3763	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.4471	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.4266	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.3111	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.2573	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.2473	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.4294	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.2754	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.4730	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.4394	LR: 0.100000
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Training Epoch: 2 [8192/46250]	Loss: 1.2836	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.0684	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1995, Train Accuracy: 0.5665
Epoch 2 training time consumed: 25.52s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0064, Accuracy: 0.5048, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0221	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.9828	LR: 0.100000
Epoch 3 - Average Train Loss: 1.0152, Train Accuracy: 0.6388
Epoch 3 training time consumed: 25.59s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0043, Accuracy: 0.6256, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8454	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.8582	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8781, Train Accuracy: 0.6869
Epoch 4 training time consumed: 25.51s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0043, Accuracy: 0.6499, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 1.0002	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7825, Train Accuracy: 0.7274
Epoch 5 training time consumed: 25.78s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0032, Accuracy: 0.7291, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6919	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.7084	LR: 0.100000
Epoch 6 - Average Train Loss: 0.7053, Train Accuracy: 0.7527
Epoch 6 training time consumed: 25.42s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0036, Accuracy: 0.7050, Time consumed:0.96s
Training Epoch: 7 [256/46250]	Loss: 0.6087	LR: 0.100000
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Training Epoch: 7 [46250/46250]	Loss: 0.5215	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6473, Train Accuracy: 0.7758
Epoch 7 training time consumed: 25.57s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0030, Accuracy: 0.7359, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.6286	LR: 0.020000
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Training Epoch: 8 [46080/46250]	Loss: 0.5138	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.4964	LR: 0.020000
Epoch 8 - Average Train Loss: 0.5012, Train Accuracy: 0.8270
Epoch 8 training time consumed: 25.58s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8387, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4206	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.6318	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.4868	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4460	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.4462	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4499, Train Accuracy: 0.8453
Epoch 9 training time consumed: 25.62s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8441, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4263	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.3801	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3869	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.4037	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.4504	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.4819	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.4226	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.3660	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.3963	LR: 0.020000
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Training Epoch: 10 [24576/46250]	Loss: 0.3982	LR: 0.020000
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Training Epoch: 10 [25344/46250]	Loss: 0.4766	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.4027	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.6012	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4301, Train Accuracy: 0.8526
Epoch 10 training time consumed: 25.73s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0019, Accuracy: 0.8393, Time consumed:0.94s
Training Epoch: 11 [256/46250]	Loss: 0.3251	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.4497	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3628	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4127, Train Accuracy: 0.8562
Epoch 11 training time consumed: 25.56s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8477, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-11-best.pth
Training Epoch: 12 [256/46250]	Loss: 0.4054	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.4867	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.4103	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3454	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.4146	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.4625	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3678	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3503	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3318	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.3584	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3953	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.4441	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.4139	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.4347	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3650	LR: 0.004000
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Training Epoch: 12 [4352/46250]	Loss: 0.3628	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.4068	LR: 0.004000
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Training Epoch: 12 [5120/46250]	Loss: 0.3488	LR: 0.004000
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Training Epoch: 12 [44544/46250]	Loss: 0.2825	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.2992	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3904	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3685, Train Accuracy: 0.8732
Epoch 12 training time consumed: 25.54s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8686, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.4304	LR: 0.004000
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Training Epoch: 13 [42240/46250]	Loss: 0.3318	LR: 0.004000
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Training Epoch: 13 [43008/46250]	Loss: 0.3177	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.3042	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.3886	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3870	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3523	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3766	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3274	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3466	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3826	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3519	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.3710	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.3403	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3357	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.4122	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3515, Train Accuracy: 0.8806
Epoch 13 training time consumed: 25.51s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8687, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3863	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.3234	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.3630	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.3860	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2594	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3475, Train Accuracy: 0.8803
Epoch 14 training time consumed: 25.63s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8694, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.3904	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.4271	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.3396	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2893	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.3520	LR: 0.004000
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Training Epoch: 15 [11264/46250]	Loss: 0.2998	LR: 0.004000
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Training Epoch: 15 [44544/46250]	Loss: 0.3781	LR: 0.004000
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Training Epoch: 15 [45312/46250]	Loss: 0.3448	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.3493	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.3942	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3392, Train Accuracy: 0.8834
Epoch 15 training time consumed: 25.71s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8724, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.3829	LR: 0.000800
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Training Epoch: 16 [38144/46250]	Loss: 0.3257	LR: 0.000800
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Training Epoch: 16 [41728/46250]	Loss: 0.3089	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.2713	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.2994	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.3628	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.3115	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.3667	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.3281	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2909	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.3374	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2450	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2761	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2983	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3313	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.4565	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.3279	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.3314	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2961	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.3430	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3287, Train Accuracy: 0.8883
Epoch 16 training time consumed: 25.64s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8737, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2622	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.3632	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.2752	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.3277	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2920	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.3488	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.4272	LR: 0.000800
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Training Epoch: 17 [2560/46250]	Loss: 0.3701	LR: 0.000800
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Training Epoch: 17 [42752/46250]	Loss: 0.3331	LR: 0.000800
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Training Epoch: 17 [43264/46250]	Loss: 0.3549	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.3315	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.3093	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2983	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.2943	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.3560	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2775	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3112	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.3219	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.3617	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2172	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.2601	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3238, Train Accuracy: 0.8900
Epoch 17 training time consumed: 25.48s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8752, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.3404	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.3887	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.3104	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.3690	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.3289	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2964	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.3530	LR: 0.000800
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Training Epoch: 18 [17408/46250]	Loss: 0.3927	LR: 0.000800
Training Epoch: 18 [17664/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.3833	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.3348	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.3082	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.3285	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.4022	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.2872	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.3510	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.3053	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.3914	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.3749	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.3037	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.3457	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.3307	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.2475	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.2603	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.3121	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.2613	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.2517	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.3587	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.2847	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.3231	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.2877	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.2422	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.3200	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.2905	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.3362	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.2951	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.4278	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.3298	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.3949	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.3413	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.2605	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.3623	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.3487	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.3404	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.3536	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.3330	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.3503	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.2995	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.3321	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.2384	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.3590	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.3735	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.3361	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.3279	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.4218	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.2463	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.2680	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.3183	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.2257	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.3392	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.3355	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.3698	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.3170	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.2931	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.3723	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.3412	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.3094	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.2958	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.2848	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.2886	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.3677	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.3102	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.3062	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.3187	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.3379	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.3268	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.3120	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.2821	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.2945	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.2894	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.3472	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.2418	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.2866	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.3300	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.2741	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.3393	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.3239	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.2845	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2796	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.3181	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.3445	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.3455	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.3247	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.3529	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2736	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.3487	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.3595	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.3398	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.3372	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.1732	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2837	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3895	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.3539	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.3347	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3120	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.3482	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.4153	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.3857	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.3240	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.3320	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3222, Train Accuracy: 0.8902
Epoch 18 training time consumed: 25.53s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8748, Time consumed:0.90s
Training Epoch: 19 [256/46250]	Loss: 0.3010	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.2655	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.3728	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.3928	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.3296	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.4073	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2923	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.3506	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.3621	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.3423	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.3350	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.3371	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.3483	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.3413	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.3573	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.3659	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.3251	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.3404	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.3352	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.3353	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.2797	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.3407	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.3392	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.2951	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.3396	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.3569	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.3416	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.3169	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.3660	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.3588	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.3215	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.2770	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.3379	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.3465	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.3171	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.3145	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.3564	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.3020	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.3460	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.3478	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2789	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.3409	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.2668	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.3154	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.2954	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.3280	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.3301	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.3658	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.3396	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.3185	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.3077	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.3516	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2889	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.3006	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.3045	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.2814	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.3018	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.2876	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.3209	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.3395	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.3117	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.3621	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.2914	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.3285	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.3536	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.3111	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.3074	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.3581	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.3002	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.3233	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.3734	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.3471	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.2959	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.3638	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.2504	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.2836	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.3313	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.2907	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.2932	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.3479	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.2901	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.1966	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.3072	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.3098	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.2779	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.3217	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.3162	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.3954	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.3777	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.3521	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.3787	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.2508	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.2492	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.2603	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.3675	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.3561	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.2765	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.3606	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.3200	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.3544	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.3590	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.3836	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.3364	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.3636	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.3283	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.3321	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.3096	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.3287	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.3023	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.3722	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.3025	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.3842	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.4331	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.3588	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.4238	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.4102	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.3630	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.3436	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.3688	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.3270	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.2403	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.3577	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.3300	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.2929	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.3438	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.2710	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.3028	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.3247	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.3401	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.3581	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.3357	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.3806	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.3207	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.3460	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.2865	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.3633	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.3044	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.2636	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.3359	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.3257	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.3514	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.2902	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.2986	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.3426	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.3156	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.2568	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.2404	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.3593	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.3501	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.3565	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.3517	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.3897	LR: 0.000800
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Training Epoch: 19 [46080/46250]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3287	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3219, Train Accuracy: 0.8898
Epoch 19 training time consumed: 25.89s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8764, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_20h_48m_19s/AllCNN-Cifar10-seed6-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.2948	LR: 0.000800
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Training Epoch: 20 [45568/46250]	Loss: 0.3154	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3522	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2670	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3222	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3190, Train Accuracy: 0.8902
Epoch 20 training time consumed: 25.60s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8761, Time consumed:0.94s
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: 87.75390625
Retain Accuracy: 89.57918548583984
Zero-Retain Forget (ZRF): 0.8598395586013794
Membership Inference Attack (MIA): 0.4352
Forget vs Retain Membership Inference Attack (MIA): 0.5066666666666667
Forget vs Test Membership Inference Attack (MIA): 0.5613333333333334
Test vs Retain Membership Inference Attack (MIA): 0.508
Train vs Test Membership Inference Attack (MIA): 0.51675
Forget Set Accuracy (Df): 86.22709655761719
Method Execution Time: 1031.79 seconds
