hello
hello

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

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

📊 Updated class distribution:
Retain set:
  Class 0: 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: 2.3690	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3670	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3330	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3452	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.2711	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2865	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.2024	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2242	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2232	LR: 0.004839
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Training Epoch: 1 [10240/47500]	Loss: 1.7832	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.6948	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.8550	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.7563	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7813	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.8227	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.8438	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7490	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.8926	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.7804	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.6973	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.8159	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7878	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.9234	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.8124	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.7221	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.7166	LR: 0.029570
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Training Epoch: 1 [15872/47500]	Loss: 1.5682	LR: 0.032796
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Training Epoch: 1 [16384/47500]	Loss: 1.5508	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.7187	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.7696	LR: 0.034946
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Training Epoch: 1 [20480/47500]	Loss: 1.6714	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.6692	LR: 0.043011
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Training Epoch: 1 [22272/47500]	Loss: 1.7892	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.5457	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.6193	LR: 0.047312
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Training Epoch: 1 [24064/47500]	Loss: 1.5382	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.9209	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.6669	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.6748	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.8792	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.5943	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.5735	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.7075	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.5626	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.5516	LR: 0.054839
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Training Epoch: 1 [26880/47500]	Loss: 1.7482	LR: 0.055914
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Training Epoch: 1 [27392/47500]	Loss: 1.6548	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.6734	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.7784	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.5621	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6284	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.6994	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.4727	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.7019	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.7802	LR: 0.061290
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Training Epoch: 1 [29952/47500]	Loss: 1.7262	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.7074	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.6248	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5055	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.6565	LR: 0.064516
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Training Epoch: 1 [31744/47500]	Loss: 1.5370	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.4900	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.5649	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5972	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.5010	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.6722	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.6689	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.5085	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.5577	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.7299	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.4584	LR: 0.071505
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Training Epoch: 1 [35328/47500]	Loss: 1.5027	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.4845	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.6649	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.3863	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.4583	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.5921	LR: 0.076344
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Training Epoch: 1 [37120/47500]	Loss: 1.4915	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.6415	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.4302	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.4900	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.6269	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.6861	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.6164	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.5273	LR: 0.081183
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Training Epoch: 1 [39936/47500]	Loss: 1.4623	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.5044	LR: 0.083871
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Training Epoch: 1 [41728/47500]	Loss: 1.3290	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4141	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.6837	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.3815	LR: 0.088710
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Training Epoch: 1 [43008/47500]	Loss: 1.2707	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.5308	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.5394	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.3955	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.4986	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.3591	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.4500	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4233	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.3473	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.4551	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.4893	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.3169	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.4243	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.5795	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.3416	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3939	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.6478	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.6502	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.2954	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7062, Train Accuracy: 0.3767
Epoch 1 training time consumed: 29.37s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0066, Accuracy: 0.4321, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.4154	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.5584	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.3808	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.6276	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.3228	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.3424	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.5912	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.3434	LR: 0.100000
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Training Epoch: 2 [2560/47500]	Loss: 1.2958	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.5469	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.3888	LR: 0.100000
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Training Epoch: 2 [3584/47500]	Loss: 1.4269	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.2694	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.2870	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.4294	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.2916	LR: 0.100000
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Training Epoch: 2 [22528/47500]	Loss: 1.1741	LR: 0.100000
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Training Epoch: 2 [47360/47500]	Loss: 1.1159	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 1.1029	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1948, Train Accuracy: 0.5699
Epoch 2 training time consumed: 28.50s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0041, Accuracy: 0.6437, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0395	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.9326	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9372, Train Accuracy: 0.6672
Epoch 3 training time consumed: 28.50s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0037, Accuracy: 0.6787, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.9133	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.8546	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.9077	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.7946	LR: 0.100000
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Training Epoch: 4 [1536/47500]	Loss: 0.8100	LR: 0.100000
Training Epoch: 4 [1792/47500]	Loss: 0.7234	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 0.9292	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7985, Train Accuracy: 0.7183
Epoch 4 training time consumed: 28.60s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0029, Accuracy: 0.7434, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-4-best.pth
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Training Epoch: 5 [47500/47500]	Loss: 0.7539	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7050, Train Accuracy: 0.7527
Epoch 5 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0033, Accuracy: 0.7154, Time consumed:0.92s
Training Epoch: 6 [256/47500]	Loss: 0.7463	LR: 0.100000
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Training Epoch: 6 [47500/47500]	Loss: 0.6028	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6467, Train Accuracy: 0.7740
Epoch 6 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.7599, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.6063	LR: 0.100000
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Training Epoch: 7 [10240/47500]	Loss: 0.5855	LR: 0.100000
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Training Epoch: 7 [11008/47500]	Loss: 0.5667	LR: 0.100000
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Training Epoch: 7 [12032/47500]	Loss: 0.5148	LR: 0.100000
Training Epoch: 7 [12288/47500]	Loss: 0.6071	LR: 0.100000
Training Epoch: 7 [12544/47500]	Loss: 0.6438	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.7090	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.5149	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.6837	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.5673	LR: 0.100000
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Training Epoch: 7 [14080/47500]	Loss: 0.6622	LR: 0.100000
Training Epoch: 7 [14336/47500]	Loss: 0.5835	LR: 0.100000
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Training Epoch: 7 [16384/47500]	Loss: 0.6016	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.5966	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.7177	LR: 0.100000
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Training Epoch: 7 [17408/47500]	Loss: 0.5892	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.5515	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.5266	LR: 0.100000
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Training Epoch: 7 [18688/47500]	Loss: 0.5411	LR: 0.100000
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Training Epoch: 7 [19200/47500]	Loss: 0.6215	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.6085	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.5606	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.6616	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.6738	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.7144	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.6278	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.5626	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.6063	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.5376	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.5998	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.5370	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.6266	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.6668	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.5930	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5458	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.4727	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.5408	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.5884	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.6359	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.6959	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.6109	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.5662	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.5373	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.5950	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.5646	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.5184	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.5302	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.5879	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.5968	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.5988	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.6652	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.5787	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.5258	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.5575	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.5611	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.5969	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.5740	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.6660	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.6668	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.5339	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.5202	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.6081	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.5207	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.6630	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.7068	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.5667	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.5687	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.5515	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.6253	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.4748	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.5751	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.6486	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.6415	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.5987	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.6494	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.6305	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.5224	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.6491	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.5864	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6674	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.5974	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.5198	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.5830	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5896	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.5691	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.5603	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.5548	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.6125	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.4569	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.5245	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.5639	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.6245	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.5717	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.5868	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.6246	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.4852	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.6493	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.5413	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.6771	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.6733	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.5819	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.5315	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.5379	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.5876	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.6363	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.6130	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.5840	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.5090	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.6610	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.6743	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.5537	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.6228	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.5110	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.6443	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5708	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.5840	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.5847	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.5243	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.6748	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.6053	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.5539	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.6529	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.6008	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.4538	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.6285	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.6298	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.5350	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.5645	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.4489	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.6406	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.6951	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5921, Train Accuracy: 0.7935
Epoch 7 training time consumed: 28.75s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0030, Accuracy: 0.7508, Time consumed:0.93s
Training Epoch: 8 [256/47500]	Loss: 0.6318	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.5678	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.6325	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.5084	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.5692	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.5302	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.6012	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.5587	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5970	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.5387	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.4642	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.5401	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.4966	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.5559	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.4397	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.4980	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.4526	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.4526	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.5107	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.5081	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4685	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4739	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4939	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.4496	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.4928	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.5194	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.4191	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.5585	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.4064	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4668	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.5097	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.4366	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.4775	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.5276	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4759	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4501	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.4298	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.4307	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4638	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.3896	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.5698	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.3543	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4658	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.4759	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.4712	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.4316	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.4341	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4656	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.3750	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4495	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.4608	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.4194	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.4031	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.4320	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.4075	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4425	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.3564	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.4491	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.3859	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.4500	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.5094	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.5685	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.5694	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4554	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.4651	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.3527	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4365	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4279	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4680	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4372	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.4664	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.5314	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.3646	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4078	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.4043	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.3338	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.4414	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.4860	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4854	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.3747	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.4821	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.3949	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4511	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.4200	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.5232	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.3364	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.3683	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.4403	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4195	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.3567	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.3740	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.5067	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.4814	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4619	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4749	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.3353	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.3525	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4363	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.5307	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.4816	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.4466	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.3714	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.4645	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4079	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4856	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4810	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.4695	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4458	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.3540	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.4189	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.4946	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.4125	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.5281	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.3677	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.3602	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.4196	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.3760	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.3600	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.3978	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.3887	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.3931	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.4719	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4466, Train Accuracy: 0.8450
Epoch 8 training time consumed: 28.57s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8579, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.3935	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.4090	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4012, Train Accuracy: 0.8594
Epoch 9 training time consumed: 28.46s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8486, Time consumed:0.92s
Training Epoch: 10 [256/47500]	Loss: 0.4435	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.4227	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3850, Train Accuracy: 0.8651
Epoch 10 training time consumed: 28.43s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8686, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-10-best.pth
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Training Epoch: 11 [40448/47500]	Loss: 0.3586	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.3065	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.2833	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3617, Train Accuracy: 0.8727
Epoch 11 training time consumed: 28.81s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8690, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3398	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.2995	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3864	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3188, Train Accuracy: 0.8896
Epoch 12 training time consumed: 28.57s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8863, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.2791	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.3388	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3008, Train Accuracy: 0.8944
Epoch 13 training time consumed: 28.57s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8865, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 0.3916	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2954, Train Accuracy: 0.8967
Epoch 14 training time consumed: 28.65s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8882, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2497	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.1869	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2863, Train Accuracy: 0.8987
Epoch 15 training time consumed: 28.67s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8904, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.3570	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.2323	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2753, Train Accuracy: 0.9044
Epoch 16 training time consumed: 28.54s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8923, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2962	LR: 0.000800
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Training Epoch: 17 [45056/47500]	Loss: 0.2452	LR: 0.000800
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Training Epoch: 17 [45568/47500]	Loss: 0.2528	LR: 0.000800
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Training Epoch: 17 [47360/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.4212	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2726, Train Accuracy: 0.9052
Epoch 17 training time consumed: 28.70s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8929, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2463	LR: 0.000800
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Training Epoch: 18 [46592/47500]	Loss: 0.2574	LR: 0.000800
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Training Epoch: 18 [47360/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.1693	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2644, Train Accuracy: 0.9078
Epoch 18 training time consumed: 28.52s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8935, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.2440	LR: 0.000800
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Training Epoch: 19 [47360/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3002	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2679, Train Accuracy: 0.9067
Epoch 19 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8947, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_11h_27m_18s/ResNet18-Cifar10-seed6-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.3246	LR: 0.000800
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Training Epoch: 20 [47360/47500]	Loss: 0.3212	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.1646	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2653, Train Accuracy: 0.9074
Epoch 20 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8946, Time consumed:0.93s
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: 89.560546875
Retain Accuracy: 91.1900634765625
Zero-Retain Forget (ZRF): 0.8264250755310059
Membership Inference Attack (MIA): 0.6196
Forget vs Retain Membership Inference Attack (MIA): 0.552
Forget vs Test Membership Inference Attack (MIA): 0.553
Test vs Retain Membership Inference Attack (MIA): 0.5085
Train vs Test Membership Inference Attack (MIA): 0.51975
Forget Set Accuracy (Df): 88.39923095703125
Method Execution Time: 1537.58 seconds
