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: 4750
  Class 1: 4750
  Class 2: 4750
  Class 3: 4750
  Class 4: 4750
  Class 5: 4750
  Class 6: 4750
  Class 7: 4750
  Class 8: 4750
  Class 9: 4750
Forget set:
  Class 0: 250
  Class 1: 250
  Class 2: 250
  Class 3: 250
  Class 4: 250
  Class 5: 250
  Class 6: 250
  Class 7: 250
  Class 8: 250
  Class 9: 250
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.2945	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3233	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3217	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3095	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3111	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2927	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.2656	LR: 0.003763
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Training Epoch: 1 [10240/47500]	Loss: 1.8026	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.8182	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.6829	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.7480	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.6926	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7183	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7443	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7211	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.7325	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.8317	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.7494	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.6996	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7214	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7587	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.7149	LR: 0.028495
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Training Epoch: 1 [16384/47500]	Loss: 1.7190	LR: 0.033871
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Training Epoch: 1 [16896/47500]	Loss: 1.5993	LR: 0.034946
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Training Epoch: 1 [25088/47500]	Loss: 1.5429	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.5662	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.6014	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.5109	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.4096	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.5702	LR: 0.054839
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Training Epoch: 1 [26880/47500]	Loss: 1.6372	LR: 0.055914
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Training Epoch: 1 [28160/47500]	Loss: 1.4709	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.4785	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.4793	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.4143	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.3996	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.4656	LR: 0.061290
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Training Epoch: 1 [29952/47500]	Loss: 1.3643	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.5882	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.5769	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5414	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.4233	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.5321	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.4998	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.4872	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.3882	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.4944	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5834	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.5443	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.3995	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.3801	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.4309	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.4055	LR: 0.070430
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Training Epoch: 1 [35328/47500]	Loss: 1.4659	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.5252	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.5542	LR: 0.074731
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Training Epoch: 1 [36352/47500]	Loss: 1.4217	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.3765	LR: 0.076344
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Training Epoch: 1 [37120/47500]	Loss: 1.3422	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.3258	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.3429	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.3788	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4331	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.4124	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.4058	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.3565	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.3828	LR: 0.081720
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Training Epoch: 1 [40192/47500]	Loss: 1.2637	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.3210	LR: 0.084409
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Training Epoch: 1 [41728/47500]	Loss: 1.4126	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4321	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.2175	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.3678	LR: 0.088710
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Training Epoch: 1 [43008/47500]	Loss: 1.2948	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.3501	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.3392	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.3348	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.2911	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.3319	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.3737	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.3128	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.2803	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3720	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.2789	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.2090	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.2370	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.3837	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.3584	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3520	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.3621	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.4053	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.3869	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6255, Train Accuracy: 0.3962
Epoch 1 training time consumed: 27.10s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0078, Accuracy: 0.4259, Time consumed:1.08s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.4182	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.4118	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.2703	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.3003	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.3106	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.2181	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.1916	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.2607	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.1794	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.2064	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.2328	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.2404	LR: 0.100000
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Training Epoch: 2 [3584/47500]	Loss: 1.2446	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.1903	LR: 0.100000
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Training Epoch: 2 [4352/47500]	Loss: 1.2819	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.3140	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 1.2036	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1752, Train Accuracy: 0.5765
Epoch 2 training time consumed: 26.46s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0063, Accuracy: 0.4793, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 0.9769	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.8552	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9728, Train Accuracy: 0.6522
Epoch 3 training time consumed: 26.39s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0037, Accuracy: 0.6741, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.9492	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.9640	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.9505	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8897	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 0.7131	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8496, Train Accuracy: 0.7004
Epoch 4 training time consumed: 26.61s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0037, Accuracy: 0.6774, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-4-best.pth
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Epoch 5 - Average Train Loss: 0.7502, Train Accuracy: 0.7378
Epoch 5 training time consumed: 26.59s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0030, Accuracy: 0.7401, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.7797	LR: 0.100000
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Training Epoch: 6 [47500/47500]	Loss: 0.8303	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6898, Train Accuracy: 0.7578
Epoch 6 training time consumed: 26.41s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0032, Accuracy: 0.7284, Time consumed:0.92s
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Training Epoch: 7 [47500/47500]	Loss: 0.7476	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6378, Train Accuracy: 0.7779
Epoch 7 training time consumed: 26.39s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.7810, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.6472	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.3931	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4845, Train Accuracy: 0.8331
Epoch 8 training time consumed: 26.59s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8500, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4062	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.4462	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4389, Train Accuracy: 0.8504
Epoch 9 training time consumed: 26.61s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0019, Accuracy: 0.8413, Time consumed:1.01s
Training Epoch: 10 [256/47500]	Loss: 0.4691	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.4513	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4192, Train Accuracy: 0.8542
Epoch 10 training time consumed: 26.56s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8532, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-10-best.pth
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Training Epoch: 11 [47360/47500]	Loss: 0.3441	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.2969	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4037, Train Accuracy: 0.8592
Epoch 11 training time consumed: 26.35s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8583, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.4477	LR: 0.004000
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Training Epoch: 12 [47500/47500]	Loss: 0.3380	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3592, Train Accuracy: 0.8767
Epoch 12 training time consumed: 26.42s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8739, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3414	LR: 0.004000
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Training Epoch: 13 [20224/47500]	Loss: 0.4089	LR: 0.004000
Training Epoch: 13 [20480/47500]	Loss: 0.3729	LR: 0.004000
Training Epoch: 13 [20736/47500]	Loss: 0.3611	LR: 0.004000
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Training Epoch: 13 [22016/47500]	Loss: 0.3482	LR: 0.004000
Training Epoch: 13 [22272/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 13 [22528/47500]	Loss: 0.3132	LR: 0.004000
Training Epoch: 13 [22784/47500]	Loss: 0.2843	LR: 0.004000
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Training Epoch: 13 [24576/47500]	Loss: 0.3354	LR: 0.004000
Training Epoch: 13 [24832/47500]	Loss: 0.3283	LR: 0.004000
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Training Epoch: 13 [28672/47500]	Loss: 0.3611	LR: 0.004000
Training Epoch: 13 [28928/47500]	Loss: 0.3345	LR: 0.004000
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Training Epoch: 13 [32256/47500]	Loss: 0.3559	LR: 0.004000
Training Epoch: 13 [32512/47500]	Loss: 0.2849	LR: 0.004000
Training Epoch: 13 [32768/47500]	Loss: 0.3611	LR: 0.004000
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Training Epoch: 13 [35584/47500]	Loss: 0.3345	LR: 0.004000
Training Epoch: 13 [35840/47500]	Loss: 0.3971	LR: 0.004000
Training Epoch: 13 [36096/47500]	Loss: 0.3584	LR: 0.004000
Training Epoch: 13 [36352/47500]	Loss: 0.3433	LR: 0.004000
Training Epoch: 13 [36608/47500]	Loss: 0.3473	LR: 0.004000
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Training Epoch: 13 [37888/47500]	Loss: 0.4084	LR: 0.004000
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Training Epoch: 13 [39424/47500]	Loss: 0.3601	LR: 0.004000
Training Epoch: 13 [39680/47500]	Loss: 0.2790	LR: 0.004000
Training Epoch: 13 [39936/47500]	Loss: 0.3130	LR: 0.004000
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Training Epoch: 13 [40448/47500]	Loss: 0.3835	LR: 0.004000
Training Epoch: 13 [40704/47500]	Loss: 0.2652	LR: 0.004000
Training Epoch: 13 [40960/47500]	Loss: 0.2907	LR: 0.004000
Training Epoch: 13 [41216/47500]	Loss: 0.3989	LR: 0.004000
Training Epoch: 13 [41472/47500]	Loss: 0.3037	LR: 0.004000
Training Epoch: 13 [41728/47500]	Loss: 0.3614	LR: 0.004000
Training Epoch: 13 [41984/47500]	Loss: 0.3278	LR: 0.004000
Training Epoch: 13 [42240/47500]	Loss: 0.2958	LR: 0.004000
Training Epoch: 13 [42496/47500]	Loss: 0.3719	LR: 0.004000
Training Epoch: 13 [42752/47500]	Loss: 0.2881	LR: 0.004000
Training Epoch: 13 [43008/47500]	Loss: 0.2868	LR: 0.004000
Training Epoch: 13 [43264/47500]	Loss: 0.3096	LR: 0.004000
Training Epoch: 13 [43520/47500]	Loss: 0.2660	LR: 0.004000
Training Epoch: 13 [43776/47500]	Loss: 0.3090	LR: 0.004000
Training Epoch: 13 [44032/47500]	Loss: 0.3858	LR: 0.004000
Training Epoch: 13 [44288/47500]	Loss: 0.3087	LR: 0.004000
Training Epoch: 13 [44544/47500]	Loss: 0.3431	LR: 0.004000
Training Epoch: 13 [44800/47500]	Loss: 0.3441	LR: 0.004000
Training Epoch: 13 [45056/47500]	Loss: 0.3148	LR: 0.004000
Training Epoch: 13 [45312/47500]	Loss: 0.2925	LR: 0.004000
Training Epoch: 13 [45568/47500]	Loss: 0.2711	LR: 0.004000
Training Epoch: 13 [45824/47500]	Loss: 0.2975	LR: 0.004000
Training Epoch: 13 [46080/47500]	Loss: 0.2947	LR: 0.004000
Training Epoch: 13 [46336/47500]	Loss: 0.3401	LR: 0.004000
Training Epoch: 13 [46592/47500]	Loss: 0.2897	LR: 0.004000
Training Epoch: 13 [46848/47500]	Loss: 0.3867	LR: 0.004000
Training Epoch: 13 [47104/47500]	Loss: 0.3948	LR: 0.004000
Training Epoch: 13 [47360/47500]	Loss: 0.3219	LR: 0.004000
Training Epoch: 13 [47500/47500]	Loss: 0.2775	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3392, Train Accuracy: 0.8832
Epoch 13 training time consumed: 26.55s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8716, Time consumed:0.93s
Training Epoch: 14 [256/47500]	Loss: 0.3539	LR: 0.004000
Training Epoch: 14 [512/47500]	Loss: 0.3595	LR: 0.004000
Training Epoch: 14 [768/47500]	Loss: 0.3123	LR: 0.004000
Training Epoch: 14 [1024/47500]	Loss: 0.2497	LR: 0.004000
Training Epoch: 14 [1280/47500]	Loss: 0.3523	LR: 0.004000
Training Epoch: 14 [1536/47500]	Loss: 0.3467	LR: 0.004000
Training Epoch: 14 [1792/47500]	Loss: 0.3136	LR: 0.004000
Training Epoch: 14 [2048/47500]	Loss: 0.3404	LR: 0.004000
Training Epoch: 14 [2304/47500]	Loss: 0.3375	LR: 0.004000
Training Epoch: 14 [2560/47500]	Loss: 0.3898	LR: 0.004000
Training Epoch: 14 [2816/47500]	Loss: 0.3748	LR: 0.004000
Training Epoch: 14 [3072/47500]	Loss: 0.3018	LR: 0.004000
Training Epoch: 14 [3328/47500]	Loss: 0.2415	LR: 0.004000
Training Epoch: 14 [3584/47500]	Loss: 0.4036	LR: 0.004000
Training Epoch: 14 [3840/47500]	Loss: 0.3752	LR: 0.004000
Training Epoch: 14 [4096/47500]	Loss: 0.2744	LR: 0.004000
Training Epoch: 14 [4352/47500]	Loss: 0.3714	LR: 0.004000
Training Epoch: 14 [4608/47500]	Loss: 0.3904	LR: 0.004000
Training Epoch: 14 [4864/47500]	Loss: 0.3200	LR: 0.004000
Training Epoch: 14 [5120/47500]	Loss: 0.3349	LR: 0.004000
Training Epoch: 14 [5376/47500]	Loss: 0.2902	LR: 0.004000
Training Epoch: 14 [5632/47500]	Loss: 0.3142	LR: 0.004000
Training Epoch: 14 [5888/47500]	Loss: 0.3674	LR: 0.004000
Training Epoch: 14 [6144/47500]	Loss: 0.3915	LR: 0.004000
Training Epoch: 14 [6400/47500]	Loss: 0.2629	LR: 0.004000
Training Epoch: 14 [6656/47500]	Loss: 0.4010	LR: 0.004000
Training Epoch: 14 [6912/47500]	Loss: 0.3825	LR: 0.004000
Training Epoch: 14 [7168/47500]	Loss: 0.3605	LR: 0.004000
Training Epoch: 14 [7424/47500]	Loss: 0.3249	LR: 0.004000
Training Epoch: 14 [7680/47500]	Loss: 0.2616	LR: 0.004000
Training Epoch: 14 [7936/47500]	Loss: 0.3396	LR: 0.004000
Training Epoch: 14 [8192/47500]	Loss: 0.3398	LR: 0.004000
Training Epoch: 14 [8448/47500]	Loss: 0.3744	LR: 0.004000
Training Epoch: 14 [8704/47500]	Loss: 0.3857	LR: 0.004000
Training Epoch: 14 [8960/47500]	Loss: 0.3850	LR: 0.004000
Training Epoch: 14 [9216/47500]	Loss: 0.3167	LR: 0.004000
Training Epoch: 14 [9472/47500]	Loss: 0.3318	LR: 0.004000
Training Epoch: 14 [9728/47500]	Loss: 0.3283	LR: 0.004000
Training Epoch: 14 [9984/47500]	Loss: 0.3673	LR: 0.004000
Training Epoch: 14 [10240/47500]	Loss: 0.3168	LR: 0.004000
Training Epoch: 14 [10496/47500]	Loss: 0.3182	LR: 0.004000
Training Epoch: 14 [10752/47500]	Loss: 0.3683	LR: 0.004000
Training Epoch: 14 [11008/47500]	Loss: 0.3189	LR: 0.004000
Training Epoch: 14 [11264/47500]	Loss: 0.3468	LR: 0.004000
Training Epoch: 14 [11520/47500]	Loss: 0.3410	LR: 0.004000
Training Epoch: 14 [11776/47500]	Loss: 0.3639	LR: 0.004000
Training Epoch: 14 [12032/47500]	Loss: 0.3164	LR: 0.004000
Training Epoch: 14 [12288/47500]	Loss: 0.2894	LR: 0.004000
Training Epoch: 14 [12544/47500]	Loss: 0.3215	LR: 0.004000
Training Epoch: 14 [12800/47500]	Loss: 0.3178	LR: 0.004000
Training Epoch: 14 [13056/47500]	Loss: 0.3152	LR: 0.004000
Training Epoch: 14 [13312/47500]	Loss: 0.2800	LR: 0.004000
Training Epoch: 14 [13568/47500]	Loss: 0.3162	LR: 0.004000
Training Epoch: 14 [13824/47500]	Loss: 0.3166	LR: 0.004000
Training Epoch: 14 [14080/47500]	Loss: 0.3083	LR: 0.004000
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Training Epoch: 14 [15616/47500]	Loss: 0.3541	LR: 0.004000
Training Epoch: 14 [15872/47500]	Loss: 0.3623	LR: 0.004000
Training Epoch: 14 [16128/47500]	Loss: 0.3868	LR: 0.004000
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Training Epoch: 14 [16640/47500]	Loss: 0.3377	LR: 0.004000
Training Epoch: 14 [16896/47500]	Loss: 0.3107	LR: 0.004000
Training Epoch: 14 [17152/47500]	Loss: 0.3365	LR: 0.004000
Training Epoch: 14 [17408/47500]	Loss: 0.3371	LR: 0.004000
Training Epoch: 14 [17664/47500]	Loss: 0.3190	LR: 0.004000
Training Epoch: 14 [17920/47500]	Loss: 0.3159	LR: 0.004000
Training Epoch: 14 [18176/47500]	Loss: 0.2988	LR: 0.004000
Training Epoch: 14 [18432/47500]	Loss: 0.3835	LR: 0.004000
Training Epoch: 14 [18688/47500]	Loss: 0.2619	LR: 0.004000
Training Epoch: 14 [18944/47500]	Loss: 0.3071	LR: 0.004000
Training Epoch: 14 [19200/47500]	Loss: 0.3843	LR: 0.004000
Training Epoch: 14 [19456/47500]	Loss: 0.3056	LR: 0.004000
Training Epoch: 14 [19712/47500]	Loss: 0.3113	LR: 0.004000
Training Epoch: 14 [19968/47500]	Loss: 0.3200	LR: 0.004000
Training Epoch: 14 [20224/47500]	Loss: 0.2476	LR: 0.004000
Training Epoch: 14 [20480/47500]	Loss: 0.3324	LR: 0.004000
Training Epoch: 14 [20736/47500]	Loss: 0.3432	LR: 0.004000
Training Epoch: 14 [20992/47500]	Loss: 0.3208	LR: 0.004000
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Training Epoch: 14 [21504/47500]	Loss: 0.3058	LR: 0.004000
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Training Epoch: 14 [22016/47500]	Loss: 0.2966	LR: 0.004000
Training Epoch: 14 [22272/47500]	Loss: 0.2817	LR: 0.004000
Training Epoch: 14 [22528/47500]	Loss: 0.3602	LR: 0.004000
Training Epoch: 14 [22784/47500]	Loss: 0.4258	LR: 0.004000
Training Epoch: 14 [23040/47500]	Loss: 0.3189	LR: 0.004000
Training Epoch: 14 [23296/47500]	Loss: 0.3524	LR: 0.004000
Training Epoch: 14 [23552/47500]	Loss: 0.2521	LR: 0.004000
Training Epoch: 14 [23808/47500]	Loss: 0.3660	LR: 0.004000
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Training Epoch: 14 [24576/47500]	Loss: 0.3612	LR: 0.004000
Training Epoch: 14 [24832/47500]	Loss: 0.2890	LR: 0.004000
Training Epoch: 14 [25088/47500]	Loss: 0.3221	LR: 0.004000
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Training Epoch: 14 [25856/47500]	Loss: 0.2900	LR: 0.004000
Training Epoch: 14 [26112/47500]	Loss: 0.3536	LR: 0.004000
Training Epoch: 14 [26368/47500]	Loss: 0.3233	LR: 0.004000
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Training Epoch: 14 [27904/47500]	Loss: 0.3668	LR: 0.004000
Training Epoch: 14 [28160/47500]	Loss: 0.2688	LR: 0.004000
Training Epoch: 14 [28416/47500]	Loss: 0.3602	LR: 0.004000
Training Epoch: 14 [28672/47500]	Loss: 0.3363	LR: 0.004000
Training Epoch: 14 [28928/47500]	Loss: 0.3311	LR: 0.004000
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Training Epoch: 14 [30208/47500]	Loss: 0.3753	LR: 0.004000
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Training Epoch: 14 [37888/47500]	Loss: 0.2645	LR: 0.004000
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Training Epoch: 14 [39936/47500]	Loss: 0.3290	LR: 0.004000
Training Epoch: 14 [40192/47500]	Loss: 0.2931	LR: 0.004000
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Training Epoch: 14 [42752/47500]	Loss: 0.3325	LR: 0.004000
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Training Epoch: 14 [47500/47500]	Loss: 0.2752	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3325, Train Accuracy: 0.8851
Epoch 14 training time consumed: 26.52s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8727, Time consumed:0.92s
Training Epoch: 15 [256/47500]	Loss: 0.2941	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.3301	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3251, Train Accuracy: 0.8894
Epoch 15 training time consumed: 26.53s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8783, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2906	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.3572	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3145, Train Accuracy: 0.8937
Epoch 16 training time consumed: 26.57s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8785, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.3207	LR: 0.000800
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Training Epoch: 17 [45568/47500]	Loss: 0.2503	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.3306	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.4063	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.2465	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.3391	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.3612	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2626	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3150, Train Accuracy: 0.8931
Epoch 17 training time consumed: 26.43s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8778, Time consumed:1.01s
Training Epoch: 18 [256/47500]	Loss: 0.3613	LR: 0.000800
Training Epoch: 18 [512/47500]	Loss: 0.3357	LR: 0.000800
Training Epoch: 18 [768/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 18 [1024/47500]	Loss: 0.3748	LR: 0.000800
Training Epoch: 18 [1280/47500]	Loss: 0.3834	LR: 0.000800
Training Epoch: 18 [1536/47500]	Loss: 0.3256	LR: 0.000800
Training Epoch: 18 [1792/47500]	Loss: 0.3100	LR: 0.000800
Training Epoch: 18 [2048/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 18 [2304/47500]	Loss: 0.3842	LR: 0.000800
Training Epoch: 18 [2560/47500]	Loss: 0.4069	LR: 0.000800
Training Epoch: 18 [2816/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 18 [3072/47500]	Loss: 0.3505	LR: 0.000800
Training Epoch: 18 [3328/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 18 [3584/47500]	Loss: 0.3889	LR: 0.000800
Training Epoch: 18 [3840/47500]	Loss: 0.3749	LR: 0.000800
Training Epoch: 18 [4096/47500]	Loss: 0.2165	LR: 0.000800
Training Epoch: 18 [4352/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 18 [4608/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 18 [4864/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 18 [5120/47500]	Loss: 0.3743	LR: 0.000800
Training Epoch: 18 [5376/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 18 [5632/47500]	Loss: 0.3517	LR: 0.000800
Training Epoch: 18 [5888/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 18 [6144/47500]	Loss: 0.2458	LR: 0.000800
Training Epoch: 18 [6400/47500]	Loss: 0.3205	LR: 0.000800
Training Epoch: 18 [6656/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 18 [6912/47500]	Loss: 0.2903	LR: 0.000800
Training Epoch: 18 [7168/47500]	Loss: 0.3500	LR: 0.000800
Training Epoch: 18 [7424/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [7680/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 18 [7936/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 18 [8192/47500]	Loss: 0.3397	LR: 0.000800
Training Epoch: 18 [8448/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 18 [8704/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 18 [8960/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 18 [9216/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 18 [9472/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 18 [9728/47500]	Loss: 0.2151	LR: 0.000800
Training Epoch: 18 [9984/47500]	Loss: 0.3295	LR: 0.000800
Training Epoch: 18 [10240/47500]	Loss: 0.2368	LR: 0.000800
Training Epoch: 18 [10496/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [10752/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 18 [11008/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 18 [11264/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 18 [11520/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 18 [11776/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 18 [12032/47500]	Loss: 0.3956	LR: 0.000800
Training Epoch: 18 [12288/47500]	Loss: 0.3336	LR: 0.000800
Training Epoch: 18 [12544/47500]	Loss: 0.2076	LR: 0.000800
Training Epoch: 18 [12800/47500]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [13056/47500]	Loss: 0.3139	LR: 0.000800
Training Epoch: 18 [13312/47500]	Loss: 0.3430	LR: 0.000800
Training Epoch: 18 [13568/47500]	Loss: 0.2801	LR: 0.000800
Training Epoch: 18 [13824/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 18 [14080/47500]	Loss: 0.3976	LR: 0.000800
Training Epoch: 18 [14336/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 18 [14592/47500]	Loss: 0.3503	LR: 0.000800
Training Epoch: 18 [14848/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 18 [15104/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 18 [15360/47500]	Loss: 0.3313	LR: 0.000800
Training Epoch: 18 [15616/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 18 [15872/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 18 [16128/47500]	Loss: 0.4219	LR: 0.000800
Training Epoch: 18 [16384/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 18 [16640/47500]	Loss: 0.3410	LR: 0.000800
Training Epoch: 18 [16896/47500]	Loss: 0.2558	LR: 0.000800
Training Epoch: 18 [17152/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 18 [17408/47500]	Loss: 0.3945	LR: 0.000800
Training Epoch: 18 [17664/47500]	Loss: 0.2590	LR: 0.000800
Training Epoch: 18 [17920/47500]	Loss: 0.2393	LR: 0.000800
Training Epoch: 18 [18176/47500]	Loss: 0.3697	LR: 0.000800
Training Epoch: 18 [18432/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 18 [18688/47500]	Loss: 0.2604	LR: 0.000800
Training Epoch: 18 [18944/47500]	Loss: 0.2557	LR: 0.000800
Training Epoch: 18 [19200/47500]	Loss: 0.2153	LR: 0.000800
Training Epoch: 18 [19456/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 18 [19712/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 18 [19968/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 18 [20224/47500]	Loss: 0.2106	LR: 0.000800
Training Epoch: 18 [20480/47500]	Loss: 0.3610	LR: 0.000800
Training Epoch: 18 [20736/47500]	Loss: 0.4289	LR: 0.000800
Training Epoch: 18 [20992/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 18 [21248/47500]	Loss: 0.3053	LR: 0.000800
Training Epoch: 18 [21504/47500]	Loss: 0.2772	LR: 0.000800
Training Epoch: 18 [21760/47500]	Loss: 0.3435	LR: 0.000800
Training Epoch: 18 [22016/47500]	Loss: 0.3602	LR: 0.000800
Training Epoch: 18 [22272/47500]	Loss: 0.2966	LR: 0.000800
Training Epoch: 18 [22528/47500]	Loss: 0.3263	LR: 0.000800
Training Epoch: 18 [22784/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 18 [23040/47500]	Loss: 0.3290	LR: 0.000800
Training Epoch: 18 [23296/47500]	Loss: 0.3916	LR: 0.000800
Training Epoch: 18 [23552/47500]	Loss: 0.3234	LR: 0.000800
Training Epoch: 18 [23808/47500]	Loss: 0.3346	LR: 0.000800
Training Epoch: 18 [24064/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 18 [24320/47500]	Loss: 0.2256	LR: 0.000800
Training Epoch: 18 [24576/47500]	Loss: 0.3393	LR: 0.000800
Training Epoch: 18 [24832/47500]	Loss: 0.3462	LR: 0.000800
Training Epoch: 18 [25088/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 18 [25344/47500]	Loss: 0.3256	LR: 0.000800
Training Epoch: 18 [25600/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 18 [25856/47500]	Loss: 0.3542	LR: 0.000800
Training Epoch: 18 [26112/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 18 [26368/47500]	Loss: 0.2403	LR: 0.000800
Training Epoch: 18 [26624/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 18 [26880/47500]	Loss: 0.3609	LR: 0.000800
Training Epoch: 18 [27136/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 18 [27392/47500]	Loss: 0.3862	LR: 0.000800
Training Epoch: 18 [27648/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [27904/47500]	Loss: 0.3096	LR: 0.000800
Training Epoch: 18 [28160/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 18 [28416/47500]	Loss: 0.3011	LR: 0.000800
Training Epoch: 18 [28672/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 18 [28928/47500]	Loss: 0.3494	LR: 0.000800
Training Epoch: 18 [29184/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 18 [29440/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 18 [29696/47500]	Loss: 0.3737	LR: 0.000800
Training Epoch: 18 [29952/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 18 [30208/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [30464/47500]	Loss: 0.3076	LR: 0.000800
Training Epoch: 18 [30720/47500]	Loss: 0.3419	LR: 0.000800
Training Epoch: 18 [30976/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [31232/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 18 [31488/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 18 [31744/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 18 [32000/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 18 [32256/47500]	Loss: 0.3276	LR: 0.000800
Training Epoch: 18 [32512/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 18 [32768/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 18 [33024/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 18 [33280/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 18 [33536/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 18 [33792/47500]	Loss: 0.3400	LR: 0.000800
Training Epoch: 18 [34048/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 18 [34304/47500]	Loss: 0.3268	LR: 0.000800
Training Epoch: 18 [34560/47500]	Loss: 0.2678	LR: 0.000800
Training Epoch: 18 [34816/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 18 [35072/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 18 [35328/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 18 [35584/47500]	Loss: 0.3068	LR: 0.000800
Training Epoch: 18 [35840/47500]	Loss: 0.3566	LR: 0.000800
Training Epoch: 18 [36096/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 18 [36352/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 18 [36608/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 18 [36864/47500]	Loss: 0.3674	LR: 0.000800
Training Epoch: 18 [37120/47500]	Loss: 0.2799	LR: 0.000800
Training Epoch: 18 [37376/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 18 [37632/47500]	Loss: 0.3663	LR: 0.000800
Training Epoch: 18 [37888/47500]	Loss: 0.3353	LR: 0.000800
Training Epoch: 18 [38144/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 18 [38400/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 18 [38656/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [38912/47500]	Loss: 0.2671	LR: 0.000800
Training Epoch: 18 [39168/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 18 [39424/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 18 [39680/47500]	Loss: 0.3309	LR: 0.000800
Training Epoch: 18 [39936/47500]	Loss: 0.3592	LR: 0.000800
Training Epoch: 18 [40192/47500]	Loss: 0.2814	LR: 0.000800
Training Epoch: 18 [40448/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 18 [40704/47500]	Loss: 0.3185	LR: 0.000800
Training Epoch: 18 [40960/47500]	Loss: 0.3604	LR: 0.000800
Training Epoch: 18 [41216/47500]	Loss: 0.2189	LR: 0.000800
Training Epoch: 18 [41472/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 18 [41728/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 18 [41984/47500]	Loss: 0.2546	LR: 0.000800
Training Epoch: 18 [42240/47500]	Loss: 0.3399	LR: 0.000800
Training Epoch: 18 [42496/47500]	Loss: 0.2942	LR: 0.000800
Training Epoch: 18 [42752/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 18 [43008/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 18 [43264/47500]	Loss: 0.3978	LR: 0.000800
Training Epoch: 18 [43520/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 18 [43776/47500]	Loss: 0.3418	LR: 0.000800
Training Epoch: 18 [44032/47500]	Loss: 0.3572	LR: 0.000800
Training Epoch: 18 [44288/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 18 [44544/47500]	Loss: 0.3335	LR: 0.000800
Training Epoch: 18 [44800/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.3153	LR: 0.000800
Training Epoch: 18 [45568/47500]	Loss: 0.3325	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.3173	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.3427	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2416	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.3306	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.3294	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3083, Train Accuracy: 0.8955
Epoch 18 training time consumed: 26.38s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8781, Time consumed:0.92s
Training Epoch: 19 [256/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2442	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2656	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2921	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.3459	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2140	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.3692	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.3571	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 19 [3328/47500]	Loss: 0.3029	LR: 0.000800
Training Epoch: 19 [3584/47500]	Loss: 0.3147	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.4305	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.3478	LR: 0.000800
Training Epoch: 19 [4352/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 19 [4608/47500]	Loss: 0.3184	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.3129	LR: 0.000800
Training Epoch: 19 [5120/47500]	Loss: 0.3403	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 19 [5888/47500]	Loss: 0.2449	LR: 0.000800
Training Epoch: 19 [6144/47500]	Loss: 0.3524	LR: 0.000800
Training Epoch: 19 [6400/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 19 [6656/47500]	Loss: 0.2905	LR: 0.000800
Training Epoch: 19 [6912/47500]	Loss: 0.2906	LR: 0.000800
Training Epoch: 19 [7168/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 19 [7424/47500]	Loss: 0.2639	LR: 0.000800
Training Epoch: 19 [7680/47500]	Loss: 0.3362	LR: 0.000800
Training Epoch: 19 [7936/47500]	Loss: 0.2925	LR: 0.000800
Training Epoch: 19 [8192/47500]	Loss: 0.3467	LR: 0.000800
Training Epoch: 19 [8448/47500]	Loss: 0.3453	LR: 0.000800
Training Epoch: 19 [8704/47500]	Loss: 0.3270	LR: 0.000800
Training Epoch: 19 [8960/47500]	Loss: 0.2244	LR: 0.000800
Training Epoch: 19 [9216/47500]	Loss: 0.3616	LR: 0.000800
Training Epoch: 19 [9472/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 19 [9728/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 19 [9984/47500]	Loss: 0.3279	LR: 0.000800
Training Epoch: 19 [10240/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 19 [10496/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 19 [10752/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 19 [11008/47500]	Loss: 0.3227	LR: 0.000800
Training Epoch: 19 [11264/47500]	Loss: 0.2554	LR: 0.000800
Training Epoch: 19 [11520/47500]	Loss: 0.3685	LR: 0.000800
Training Epoch: 19 [11776/47500]	Loss: 0.3573	LR: 0.000800
Training Epoch: 19 [12032/47500]	Loss: 0.3444	LR: 0.000800
Training Epoch: 19 [12288/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 19 [12544/47500]	Loss: 0.3398	LR: 0.000800
Training Epoch: 19 [12800/47500]	Loss: 0.2981	LR: 0.000800
Training Epoch: 19 [13056/47500]	Loss: 0.3357	LR: 0.000800
Training Epoch: 19 [13312/47500]	Loss: 0.3222	LR: 0.000800
Training Epoch: 19 [13568/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 19 [13824/47500]	Loss: 0.3742	LR: 0.000800
Training Epoch: 19 [14080/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 19 [14336/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 19 [14592/47500]	Loss: 0.2801	LR: 0.000800
Training Epoch: 19 [14848/47500]	Loss: 0.3241	LR: 0.000800
Training Epoch: 19 [15104/47500]	Loss: 0.2434	LR: 0.000800
Training Epoch: 19 [15360/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 19 [15616/47500]	Loss: 0.2760	LR: 0.000800
Training Epoch: 19 [15872/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 19 [16128/47500]	Loss: 0.3226	LR: 0.000800
Training Epoch: 19 [16384/47500]	Loss: 0.3518	LR: 0.000800
Training Epoch: 19 [16640/47500]	Loss: 0.3125	LR: 0.000800
Training Epoch: 19 [16896/47500]	Loss: 0.4176	LR: 0.000800
Training Epoch: 19 [17152/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 19 [17408/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 19 [17664/47500]	Loss: 0.3309	LR: 0.000800
Training Epoch: 19 [17920/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 19 [18176/47500]	Loss: 0.2803	LR: 0.000800
Training Epoch: 19 [18432/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 19 [18688/47500]	Loss: 0.3321	LR: 0.000800
Training Epoch: 19 [18944/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 19 [19200/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [19456/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 19 [19712/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 19 [19968/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 19 [20224/47500]	Loss: 0.3668	LR: 0.000800
Training Epoch: 19 [20480/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 19 [20736/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [20992/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [21248/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 19 [21504/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [21760/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.3457	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.3446	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.3114	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.3443	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2825	LR: 0.000800
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Training Epoch: 19 [47360/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3173	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3094, Train Accuracy: 0.8950
Epoch 19 training time consumed: 26.87s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8795, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_02m_20s/AllCNN-Cifar10-seed5-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.3412	LR: 0.000800
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Training Epoch: 20 [47360/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2561	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3065, Train Accuracy: 0.8941
Epoch 20 training time consumed: 26.53s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8789, Time consumed:1.01s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 88.02734375
Retain Accuracy: 89.99891662597656
Zero-Retain Forget (ZRF): 0.8530898690223694
Membership Inference Attack (MIA): 0.4108
Forget vs Retain Membership Inference Attack (MIA): 0.491
Forget vs Test Membership Inference Attack (MIA): 0.562
Test vs Retain Membership Inference Attack (MIA): 0.49125
Train vs Test Membership Inference Attack (MIA): 0.524
Forget Set Accuracy (Df): 88.02056884765625
Method Execution Time: 1055.95 seconds
