hello
hello

📌 Retain class distribution for seed 8:
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 8:
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: 2.3274	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3387	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3371	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3095	LR: 0.001613
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Training Epoch: 1 [10496/47500]	Loss: 1.8264	LR: 0.021505
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Training Epoch: 1 [11008/47500]	Loss: 1.8734	LR: 0.022581
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Training Epoch: 1 [11776/47500]	Loss: 1.7400	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7684	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.9079	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.8276	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.7822	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.8080	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7050	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7156	LR: 0.027957
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Training Epoch: 1 [25088/47500]	Loss: 1.5833	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.6083	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.6859	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.4601	LR: 0.053763
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Training Epoch: 1 [28416/47500]	Loss: 1.4753	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.4733	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.4094	LR: 0.060215
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Training Epoch: 1 [30720/47500]	Loss: 1.5231	LR: 0.063978
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Training Epoch: 1 [32000/47500]	Loss: 1.5396	LR: 0.066667
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Training Epoch: 1 [33024/47500]	Loss: 1.3310	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.4645	LR: 0.069355
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Training Epoch: 1 [35328/47500]	Loss: 1.4938	LR: 0.073656
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Training Epoch: 1 [36608/47500]	Loss: 1.4607	LR: 0.076344
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Training Epoch: 1 [37376/47500]	Loss: 1.4408	LR: 0.077957
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Training Epoch: 1 [38144/47500]	Loss: 1.3986	LR: 0.079570
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Training Epoch: 1 [38656/47500]	Loss: 1.4647	LR: 0.080645
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Training Epoch: 1 [40448/47500]	Loss: 1.4664	LR: 0.084409
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Training Epoch: 1 [41728/47500]	Loss: 1.3256	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.3612	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.3547	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.4427	LR: 0.088710
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Training Epoch: 1 [43008/47500]	Loss: 1.3834	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.4616	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.3436	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4329	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.2966	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.4286	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.2375	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.3290	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.3745	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3439	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.3859	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.3889	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.3163	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.3483	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.3655	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.4263	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.2244	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.2494	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.4617	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6516, Train Accuracy: 0.3883
Epoch 1 training time consumed: 27.16s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0064, Accuracy: 0.4643, Time consumed:1.09s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.2198	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.2670	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.2741	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.3504	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.2522	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.2961	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.3445	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.2329	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 0.9448	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1806, Train Accuracy: 0.5724
Epoch 2 training time consumed: 26.36s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0051, Accuracy: 0.5610, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.1063	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.8057	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9759, Train Accuracy: 0.6532
Epoch 3 training time consumed: 26.34s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0042, Accuracy: 0.6250, Time consumed:1.03s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.9592	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.8625	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.8712	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8139	LR: 0.100000
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Training Epoch: 4 [1536/47500]	Loss: 0.9766	LR: 0.100000
Training Epoch: 4 [1792/47500]	Loss: 0.8964	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 0.6972	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8513, Train Accuracy: 0.7016
Epoch 4 training time consumed: 26.58s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0040, Accuracy: 0.6645, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-4-best.pth
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Training Epoch: 5 [47500/47500]	Loss: 0.9062	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7670, Train Accuracy: 0.7317
Epoch 5 training time consumed: 26.32s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0036, Accuracy: 0.6996, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.6853	LR: 0.100000
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Training Epoch: 6 [47500/47500]	Loss: 0.6856	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6825, Train Accuracy: 0.7623
Epoch 6 training time consumed: 26.47s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0043, Accuracy: 0.6505, Time consumed:1.02s
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Training Epoch: 7 [47500/47500]	Loss: 0.5380	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6326, Train Accuracy: 0.7815
Epoch 7 training time consumed: 26.42s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.7910, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.5215	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.4442	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4873, Train Accuracy: 0.8322
Epoch 8 training time consumed: 26.44s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8338, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.3775	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.4614	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4407, Train Accuracy: 0.8496
Epoch 9 training time consumed: 26.36s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0019, Accuracy: 0.8388, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.4369	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.3970	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4224, Train Accuracy: 0.8537
Epoch 10 training time consumed: 26.34s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8488, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-10-best.pth
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Training Epoch: 11 [47500/47500]	Loss: 0.3529	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4047, Train Accuracy: 0.8588
Epoch 11 training time consumed: 26.45s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8498, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3822	LR: 0.004000
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Training Epoch: 12 [47500/47500]	Loss: 0.5684	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3626, Train Accuracy: 0.8763
Epoch 12 training time consumed: 26.39s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0016, Accuracy: 0.8672, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3270	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.2902	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3464, Train Accuracy: 0.8813
Epoch 13 training time consumed: 26.52s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8688, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 0.2964	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3374, Train Accuracy: 0.8860
Epoch 14 training time consumed: 26.40s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8720, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.3857	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.3002	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3310, Train Accuracy: 0.8873
Epoch 15 training time consumed: 26.35s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8724, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2922	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.2114	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3199, Train Accuracy: 0.8921
Epoch 16 training time consumed: 26.36s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8762, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2541	LR: 0.000800
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Training Epoch: 17 [44032/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 17 [44288/47500]	Loss: 0.3423	LR: 0.000800
Training Epoch: 17 [44544/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 17 [44800/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 17 [45056/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 17 [45312/47500]	Loss: 0.3138	LR: 0.000800
Training Epoch: 17 [45568/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.3212	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.2488	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.4590	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.3570	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.3228	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.3004	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3170, Train Accuracy: 0.8926
Epoch 17 training time consumed: 26.39s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8757, Time consumed:0.90s
Training Epoch: 18 [256/47500]	Loss: 0.3197	LR: 0.000800
Training Epoch: 18 [512/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 18 [768/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 18 [1024/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 18 [1280/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [1536/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 18 [1792/47500]	Loss: 0.2820	LR: 0.000800
Training Epoch: 18 [2048/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 18 [2304/47500]	Loss: 0.3360	LR: 0.000800
Training Epoch: 18 [2560/47500]	Loss: 0.3160	LR: 0.000800
Training Epoch: 18 [2816/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 18 [3072/47500]	Loss: 0.3249	LR: 0.000800
Training Epoch: 18 [3328/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 18 [3584/47500]	Loss: 0.3885	LR: 0.000800
Training Epoch: 18 [3840/47500]	Loss: 0.4535	LR: 0.000800
Training Epoch: 18 [4096/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 18 [4352/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 18 [4608/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 18 [4864/47500]	Loss: 0.2583	LR: 0.000800
Training Epoch: 18 [5120/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 18 [5376/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [5632/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 18 [5888/47500]	Loss: 0.4354	LR: 0.000800
Training Epoch: 18 [6144/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 18 [6400/47500]	Loss: 0.3355	LR: 0.000800
Training Epoch: 18 [6656/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 18 [6912/47500]	Loss: 0.3348	LR: 0.000800
Training Epoch: 18 [7168/47500]	Loss: 0.2493	LR: 0.000800
Training Epoch: 18 [7424/47500]	Loss: 0.3349	LR: 0.000800
Training Epoch: 18 [7680/47500]	Loss: 0.2547	LR: 0.000800
Training Epoch: 18 [7936/47500]	Loss: 0.3369	LR: 0.000800
Training Epoch: 18 [8192/47500]	Loss: 0.3555	LR: 0.000800
Training Epoch: 18 [8448/47500]	Loss: 0.3705	LR: 0.000800
Training Epoch: 18 [8704/47500]	Loss: 0.3153	LR: 0.000800
Training Epoch: 18 [8960/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 18 [9216/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 18 [9472/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 18 [9728/47500]	Loss: 0.2296	LR: 0.000800
Training Epoch: 18 [9984/47500]	Loss: 0.3323	LR: 0.000800
Training Epoch: 18 [10240/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 18 [10496/47500]	Loss: 0.2454	LR: 0.000800
Training Epoch: 18 [10752/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 18 [11008/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 18 [11264/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 18 [11520/47500]	Loss: 0.3765	LR: 0.000800
Training Epoch: 18 [11776/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 18 [12032/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 18 [12288/47500]	Loss: 0.3247	LR: 0.000800
Training Epoch: 18 [12544/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 18 [12800/47500]	Loss: 0.3434	LR: 0.000800
Training Epoch: 18 [13056/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 18 [13312/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 18 [13568/47500]	Loss: 0.3095	LR: 0.000800
Training Epoch: 18 [13824/47500]	Loss: 0.2391	LR: 0.000800
Training Epoch: 18 [14080/47500]	Loss: 0.3517	LR: 0.000800
Training Epoch: 18 [14336/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [14592/47500]	Loss: 0.3197	LR: 0.000800
Training Epoch: 18 [14848/47500]	Loss: 0.3260	LR: 0.000800
Training Epoch: 18 [15104/47500]	Loss: 0.3655	LR: 0.000800
Training Epoch: 18 [15360/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 18 [15616/47500]	Loss: 0.3380	LR: 0.000800
Training Epoch: 18 [15872/47500]	Loss: 0.3645	LR: 0.000800
Training Epoch: 18 [16128/47500]	Loss: 0.3611	LR: 0.000800
Training Epoch: 18 [16384/47500]	Loss: 0.3600	LR: 0.000800
Training Epoch: 18 [16640/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 18 [16896/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 18 [17152/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 18 [17408/47500]	Loss: 0.3830	LR: 0.000800
Training Epoch: 18 [17664/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 18 [17920/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 18 [18176/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 18 [18432/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 18 [18688/47500]	Loss: 0.3078	LR: 0.000800
Training Epoch: 18 [18944/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 18 [19200/47500]	Loss: 0.3688	LR: 0.000800
Training Epoch: 18 [19456/47500]	Loss: 0.3432	LR: 0.000800
Training Epoch: 18 [19712/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [19968/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 18 [20224/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 18 [20480/47500]	Loss: 0.3272	LR: 0.000800
Training Epoch: 18 [20736/47500]	Loss: 0.3973	LR: 0.000800
Training Epoch: 18 [20992/47500]	Loss: 0.3643	LR: 0.000800
Training Epoch: 18 [21248/47500]	Loss: 0.2303	LR: 0.000800
Training Epoch: 18 [21504/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 18 [21760/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 18 [22016/47500]	Loss: 0.3836	LR: 0.000800
Training Epoch: 18 [22272/47500]	Loss: 0.3630	LR: 0.000800
Training Epoch: 18 [22528/47500]	Loss: 0.3457	LR: 0.000800
Training Epoch: 18 [22784/47500]	Loss: 0.3322	LR: 0.000800
Training Epoch: 18 [23040/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 18 [23296/47500]	Loss: 0.2613	LR: 0.000800
Training Epoch: 18 [23552/47500]	Loss: 0.3240	LR: 0.000800
Training Epoch: 18 [23808/47500]	Loss: 0.3045	LR: 0.000800
Training Epoch: 18 [24064/47500]	Loss: 0.3660	LR: 0.000800
Training Epoch: 18 [24320/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 18 [24576/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 18 [24832/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 18 [25088/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [25344/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 18 [25600/47500]	Loss: 0.3959	LR: 0.000800
Training Epoch: 18 [25856/47500]	Loss: 0.3700	LR: 0.000800
Training Epoch: 18 [26112/47500]	Loss: 0.3651	LR: 0.000800
Training Epoch: 18 [26368/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 18 [26624/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 18 [26880/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 18 [27136/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 18 [27392/47500]	Loss: 0.3263	LR: 0.000800
Training Epoch: 18 [27648/47500]	Loss: 0.2554	LR: 0.000800
Training Epoch: 18 [27904/47500]	Loss: 0.4455	LR: 0.000800
Training Epoch: 18 [28160/47500]	Loss: 0.3283	LR: 0.000800
Training Epoch: 18 [28416/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 18 [28672/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 18 [28928/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 18 [29184/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 18 [29440/47500]	Loss: 0.2942	LR: 0.000800
Training Epoch: 18 [29696/47500]	Loss: 0.3566	LR: 0.000800
Training Epoch: 18 [29952/47500]	Loss: 0.3762	LR: 0.000800
Training Epoch: 18 [30208/47500]	Loss: 0.3128	LR: 0.000800
Training Epoch: 18 [30464/47500]	Loss: 0.3098	LR: 0.000800
Training Epoch: 18 [30720/47500]	Loss: 0.4092	LR: 0.000800
Training Epoch: 18 [30976/47500]	Loss: 0.2687	LR: 0.000800
Training Epoch: 18 [31232/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 18 [31488/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 18 [31744/47500]	Loss: 0.3259	LR: 0.000800
Training Epoch: 18 [32000/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 18 [32256/47500]	Loss: 0.3888	LR: 0.000800
Training Epoch: 18 [32512/47500]	Loss: 0.3696	LR: 0.000800
Training Epoch: 18 [32768/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 18 [33024/47500]	Loss: 0.3280	LR: 0.000800
Training Epoch: 18 [33280/47500]	Loss: 0.3391	LR: 0.000800
Training Epoch: 18 [33536/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 18 [33792/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 18 [34048/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 18 [34304/47500]	Loss: 0.3262	LR: 0.000800
Training Epoch: 18 [34560/47500]	Loss: 0.3222	LR: 0.000800
Training Epoch: 18 [34816/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 18 [35072/47500]	Loss: 0.4049	LR: 0.000800
Training Epoch: 18 [35328/47500]	Loss: 0.3303	LR: 0.000800
Training Epoch: 18 [35584/47500]	Loss: 0.3068	LR: 0.000800
Training Epoch: 18 [35840/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 18 [36096/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 18 [36352/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 18 [36608/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 18 [36864/47500]	Loss: 0.3442	LR: 0.000800
Training Epoch: 18 [37120/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 18 [37376/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 18 [37632/47500]	Loss: 0.3253	LR: 0.000800
Training Epoch: 18 [37888/47500]	Loss: 0.3425	LR: 0.000800
Training Epoch: 18 [38144/47500]	Loss: 0.3425	LR: 0.000800
Training Epoch: 18 [38400/47500]	Loss: 0.2678	LR: 0.000800
Training Epoch: 18 [38656/47500]	Loss: 0.3522	LR: 0.000800
Training Epoch: 18 [38912/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [39168/47500]	Loss: 0.3470	LR: 0.000800
Training Epoch: 18 [39424/47500]	Loss: 0.2213	LR: 0.000800
Training Epoch: 18 [39680/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 18 [39936/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 18 [40192/47500]	Loss: 0.2405	LR: 0.000800
Training Epoch: 18 [40448/47500]	Loss: 0.3236	LR: 0.000800
Training Epoch: 18 [40704/47500]	Loss: 0.3655	LR: 0.000800
Training Epoch: 18 [40960/47500]	Loss: 0.3173	LR: 0.000800
Training Epoch: 18 [41216/47500]	Loss: 0.2549	LR: 0.000800
Training Epoch: 18 [41472/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 18 [41728/47500]	Loss: 0.2490	LR: 0.000800
Training Epoch: 18 [41984/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 18 [42240/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 18 [42496/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 18 [42752/47500]	Loss: 0.3248	LR: 0.000800
Training Epoch: 18 [43008/47500]	Loss: 0.4497	LR: 0.000800
Training Epoch: 18 [43264/47500]	Loss: 0.3375	LR: 0.000800
Training Epoch: 18 [43520/47500]	Loss: 0.3746	LR: 0.000800
Training Epoch: 18 [43776/47500]	Loss: 0.3192	LR: 0.000800
Training Epoch: 18 [44032/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [44288/47500]	Loss: 0.3749	LR: 0.000800
Training Epoch: 18 [44544/47500]	Loss: 0.3278	LR: 0.000800
Training Epoch: 18 [44800/47500]	Loss: 0.3138	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.3346	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.3582	LR: 0.000800
Training Epoch: 18 [45568/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.3593	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.3812	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.3024	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.3362	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.3575	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.3275	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3142, Train Accuracy: 0.8923
Epoch 18 training time consumed: 26.37s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8761, Time consumed:0.94s
Training Epoch: 19 [256/47500]	Loss: 0.2655	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.3462	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.3594	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.3974	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.3377	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.2234	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.3783	LR: 0.000800
Training Epoch: 19 [3328/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 19 [3584/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.3138	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 19 [4352/47500]	Loss: 0.3628	LR: 0.000800
Training Epoch: 19 [4608/47500]	Loss: 0.3076	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 19 [5120/47500]	Loss: 0.3449	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.3333	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.3133	LR: 0.000800
Training Epoch: 19 [5888/47500]	Loss: 0.3857	LR: 0.000800
Training Epoch: 19 [6144/47500]	Loss: 0.3450	LR: 0.000800
Training Epoch: 19 [6400/47500]	Loss: 0.2512	LR: 0.000800
Training Epoch: 19 [6656/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 19 [6912/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [7168/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [7424/47500]	Loss: 0.3558	LR: 0.000800
Training Epoch: 19 [7680/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 19 [7936/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 19 [8192/47500]	Loss: 0.2855	LR: 0.000800
Training Epoch: 19 [8448/47500]	Loss: 0.3369	LR: 0.000800
Training Epoch: 19 [8704/47500]	Loss: 0.2481	LR: 0.000800
Training Epoch: 19 [8960/47500]	Loss: 0.3788	LR: 0.000800
Training Epoch: 19 [9216/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 19 [9472/47500]	Loss: 0.3066	LR: 0.000800
Training Epoch: 19 [9728/47500]	Loss: 0.2268	LR: 0.000800
Training Epoch: 19 [9984/47500]	Loss: 0.3299	LR: 0.000800
Training Epoch: 19 [10240/47500]	Loss: 0.3516	LR: 0.000800
Training Epoch: 19 [10496/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [10752/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 19 [11008/47500]	Loss: 0.3998	LR: 0.000800
Training Epoch: 19 [11264/47500]	Loss: 0.2367	LR: 0.000800
Training Epoch: 19 [11520/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 19 [11776/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 19 [12032/47500]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [12288/47500]	Loss: 0.3828	LR: 0.000800
Training Epoch: 19 [12544/47500]	Loss: 0.3192	LR: 0.000800
Training Epoch: 19 [12800/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 19 [13056/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 19 [13312/47500]	Loss: 0.3180	LR: 0.000800
Training Epoch: 19 [13568/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 19 [13824/47500]	Loss: 0.3593	LR: 0.000800
Training Epoch: 19 [14080/47500]	Loss: 0.2252	LR: 0.000800
Training Epoch: 19 [14336/47500]	Loss: 0.2425	LR: 0.000800
Training Epoch: 19 [14592/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [14848/47500]	Loss: 0.3539	LR: 0.000800
Training Epoch: 19 [15104/47500]	Loss: 0.2634	LR: 0.000800
Training Epoch: 19 [15360/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 19 [15616/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 19 [15872/47500]	Loss: 0.3660	LR: 0.000800
Training Epoch: 19 [16128/47500]	Loss: 0.3985	LR: 0.000800
Training Epoch: 19 [16384/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 19 [16640/47500]	Loss: 0.3327	LR: 0.000800
Training Epoch: 19 [16896/47500]	Loss: 0.3987	LR: 0.000800
Training Epoch: 19 [17152/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 19 [17408/47500]	Loss: 0.3283	LR: 0.000800
Training Epoch: 19 [17664/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 19 [17920/47500]	Loss: 0.3518	LR: 0.000800
Training Epoch: 19 [18176/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 19 [18432/47500]	Loss: 0.3638	LR: 0.000800
Training Epoch: 19 [18688/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 19 [18944/47500]	Loss: 0.3225	LR: 0.000800
Training Epoch: 19 [19200/47500]	Loss: 0.3469	LR: 0.000800
Training Epoch: 19 [19456/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 19 [19712/47500]	Loss: 0.3695	LR: 0.000800
Training Epoch: 19 [19968/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 19 [20224/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 19 [20480/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 19 [20736/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 19 [20992/47500]	Loss: 0.3045	LR: 0.000800
Training Epoch: 19 [21248/47500]	Loss: 0.3403	LR: 0.000800
Training Epoch: 19 [21504/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 19 [21760/47500]	Loss: 0.2409	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.3144	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.2549	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.3932	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.3755	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.4113	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.3258	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.2983	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.2856	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.3205	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.3078	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.3446	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.3783	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.2419	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.2413	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.3944	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.3318	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.3799	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.3080	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.3083	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.3451	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.3104	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.3342	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.3423	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.3732	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.3503	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.3731	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.3324	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.3341	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.3538	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.3814	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.3696	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.3226	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.3690	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.3424	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.2747	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.3650	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.3567	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.3472	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.3200	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.3222	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.2834	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.3091	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.3406	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.3558	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.3156	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.3185	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.3307	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.3512	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.2820	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.4058	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.3128	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.3655	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.3265	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.3156	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.3762	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.3303	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.2885	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.3332	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.3465	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.2271	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.3413	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.3373	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.2452	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3028	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3128, Train Accuracy: 0.8935
Epoch 19 training time consumed: 26.88s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0015, Accuracy: 0.8753, Time consumed:0.94s
Training Epoch: 20 [256/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.3733	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.4054	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.3375	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.3365	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.3533	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.2452	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.3172	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.3597	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.3614	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.3066	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.3436	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.2762	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.3418	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.3399	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.3184	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.3403	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.2451	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.3398	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.3579	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.3214	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.3652	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.3190	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.3657	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.3536	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.3588	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.3295	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.3275	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.3315	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.3156	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.3075	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.3215	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.3130	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.3872	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.3572	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.3480	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.3483	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.2364	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.3693	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.3670	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.3409	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.3239	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.2279	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.2804	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.3321	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.3295	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.3221	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.2968	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.3582	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.3461	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.3163	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.4022	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.3500	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.3032	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.2946	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.3299	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.4069	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.3376	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.3519	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.3494	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.3074	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.3171	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.3336	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.3509	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.2977	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.3344	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.2869	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.3431	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.3208	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.3713	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.2355	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.3011	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.3538	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.3408	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.3231	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.3237	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.3327	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.3419	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.3176	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.2200	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.3245	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.2999	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.3305	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.3100	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.3459	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.3729	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.3563	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.4035	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.3112	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.2276	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.2557	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.3554	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.3606	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.3114	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.3098	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.4429	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.3161	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.3402	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.3481	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2529	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3116, Train Accuracy: 0.8928
Epoch 20 training time consumed: 26.53s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0015, Accuracy: 0.8767, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_55m_50s/AllCNN-Cifar10-seed8-ret50-20-best.pth
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: 87.666015625
Retain Accuracy: 89.77037048339844
Zero-Retain Forget (ZRF): 0.8554306626319885
Membership Inference Attack (MIA): 0.4172
Forget vs Retain Membership Inference Attack (MIA): 0.51
Forget vs Test Membership Inference Attack (MIA): 0.565
Test vs Retain Membership Inference Attack (MIA): 0.5105
Train vs Test Membership Inference Attack (MIA): 0.5165
Forget Set Accuracy (Df): 87.14684295654297
Method Execution Time: 1048.96 seconds
