hello
hello
Labels

📌S 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

📌S 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
780909900

📊 Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3315	LR: 0.000000
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Training Epoch: 1 [768/46250]	Loss: 2.3784	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3164	LR: 0.001657
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Training Epoch: 1 [30208/46250]	Loss: 1.5262	LR: 0.064641
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Training Epoch: 1 [30720/46250]	Loss: 1.5379	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.5213	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.6909	LR: 0.066851
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Training Epoch: 1 [36352/46250]	Loss: 1.2257	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.2172	LR: 0.078453
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Training Epoch: 1 [37376/46250]	Loss: 1.3168	LR: 0.080110
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Training Epoch: 1 [37888/46250]	Loss: 1.3534	LR: 0.081215
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Training Epoch: 1 [38656/46250]	Loss: 1.2647	LR: 0.082873
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Training Epoch: 1 [40192/46250]	Loss: 1.2295	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.1801	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.2226	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.3123	LR: 0.087845
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Training Epoch: 1 [41472/46250]	Loss: 1.2657	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.2580	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.2616	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.2922	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.2941	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.2176	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.2570	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.1333	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.4130	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.2935	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.2050	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.5123	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.2146	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3369	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.2023	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.2592	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.3114	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.2219	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3586	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.1277	LR: 0.099448
Epoch 1 - Average Train Loss: 1.5739, Train Accuracy: 0.4266
Epoch 1 training time consumed: 18.32s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0072, Accuracy: 0.4416, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_35m_31s/ResNet18-Cifar10-seed6-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.3709	LR: 0.020000
Training Epoch: 2 [512/46250]	Loss: 1.3363	LR: 0.020000
Training Epoch: 2 [768/46250]	Loss: 1.2828	LR: 0.020000
Training Epoch: 2 [1024/46250]	Loss: 1.1963	LR: 0.020000
Training Epoch: 2 [1280/46250]	Loss: 1.0380	LR: 0.020000
Training Epoch: 2 [1536/46250]	Loss: 1.0574	LR: 0.020000
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Training Epoch: 2 [2048/46250]	Loss: 1.0938	LR: 0.020000
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Training Epoch: 2 [23040/46250]	Loss: 0.8054	LR: 0.020000
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Training Epoch: 2 [40448/46250]	Loss: 0.8406	LR: 0.020000
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Training Epoch: 2 [41984/46250]	Loss: 0.7984	LR: 0.020000
Training Epoch: 2 [42240/46250]	Loss: 0.7624	LR: 0.020000
Training Epoch: 2 [42496/46250]	Loss: 0.6454	LR: 0.020000
Training Epoch: 2 [42752/46250]	Loss: 0.7328	LR: 0.020000
Training Epoch: 2 [43008/46250]	Loss: 0.7423	LR: 0.020000
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Training Epoch: 2 [43520/46250]	Loss: 0.7237	LR: 0.020000
Training Epoch: 2 [43776/46250]	Loss: 0.7001	LR: 0.020000
Training Epoch: 2 [44032/46250]	Loss: 0.7870	LR: 0.020000
Training Epoch: 2 [44288/46250]	Loss: 0.7642	LR: 0.020000
Training Epoch: 2 [44544/46250]	Loss: 0.7406	LR: 0.020000
Training Epoch: 2 [44800/46250]	Loss: 0.8175	LR: 0.020000
Training Epoch: 2 [45056/46250]	Loss: 0.7358	LR: 0.020000
Training Epoch: 2 [45312/46250]	Loss: 0.7015	LR: 0.020000
Training Epoch: 2 [45568/46250]	Loss: 0.8466	LR: 0.020000
Training Epoch: 2 [45824/46250]	Loss: 0.7898	LR: 0.020000
Training Epoch: 2 [46080/46250]	Loss: 0.6992	LR: 0.020000
Training Epoch: 2 [46250/46250]	Loss: 0.6759	LR: 0.020000
Epoch 2 - Average Train Loss: 0.8368, Train Accuracy: 0.7008
Epoch 2 training time consumed: 18.06s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0033, Accuracy: 0.7108, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_35m_31s/ResNet18-Cifar10-seed6-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.6583	LR: 0.020000
Training Epoch: 3 [512/46250]	Loss: 0.5813	LR: 0.020000
Training Epoch: 3 [768/46250]	Loss: 0.7301	LR: 0.020000
Training Epoch: 3 [1024/46250]	Loss: 0.7038	LR: 0.020000
Training Epoch: 3 [1280/46250]	Loss: 0.6346	LR: 0.020000
Training Epoch: 3 [1536/46250]	Loss: 0.6975	LR: 0.020000
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Training Epoch: 3 [40192/46250]	Loss: 0.5358	LR: 0.020000
Training Epoch: 3 [40448/46250]	Loss: 0.5427	LR: 0.020000
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Training Epoch: 3 [42496/46250]	Loss: 0.6292	LR: 0.020000
Training Epoch: 3 [42752/46250]	Loss: 0.5625	LR: 0.020000
Training Epoch: 3 [43008/46250]	Loss: 0.5843	LR: 0.020000
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Training Epoch: 3 [44032/46250]	Loss: 0.5198	LR: 0.020000
Training Epoch: 3 [44288/46250]	Loss: 0.5552	LR: 0.020000
Training Epoch: 3 [44544/46250]	Loss: 0.5806	LR: 0.020000
Training Epoch: 3 [44800/46250]	Loss: 0.6957	LR: 0.020000
Training Epoch: 3 [45056/46250]	Loss: 0.5073	LR: 0.020000
Training Epoch: 3 [45312/46250]	Loss: 0.6755	LR: 0.020000
Training Epoch: 3 [45568/46250]	Loss: 0.6047	LR: 0.020000
Training Epoch: 3 [45824/46250]	Loss: 0.5490	LR: 0.020000
Training Epoch: 3 [46080/46250]	Loss: 0.6327	LR: 0.020000
Training Epoch: 3 [46250/46250]	Loss: 0.5851	LR: 0.020000
Epoch 3 - Average Train Loss: 0.6233, Train Accuracy: 0.7800
Epoch 3 training time consumed: 17.94s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0036, Accuracy: 0.7007, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_35m_31s/ResNet18-Cifar10-seed6-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.4751	LR: 0.020000
Training Epoch: 4 [512/46250]	Loss: 0.4154	LR: 0.020000
Training Epoch: 4 [768/46250]	Loss: 0.5396	LR: 0.020000
Training Epoch: 4 [1024/46250]	Loss: 0.4458	LR: 0.020000
Training Epoch: 4 [1280/46250]	Loss: 0.5226	LR: 0.020000
Training Epoch: 4 [1536/46250]	Loss: 0.4642	LR: 0.020000
Training Epoch: 4 [1792/46250]	Loss: 0.3968	LR: 0.020000
Training Epoch: 4 [2048/46250]	Loss: 0.5125	LR: 0.020000
Training Epoch: 4 [2304/46250]	Loss: 0.4444	LR: 0.020000
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Training Epoch: 4 [46080/46250]	Loss: 0.4943	LR: 0.020000
Training Epoch: 4 [46250/46250]	Loss: 0.4375	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4744, Train Accuracy: 0.8327
Epoch 4 training time consumed: 17.93s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0029, Accuracy: 0.7535, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_35m_31s/ResNet18-Cifar10-seed6-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.3163	LR: 0.004000
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Training Epoch: 5 [29184/46250]	Loss: 0.1894	LR: 0.004000
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Training Epoch: 5 [40448/46250]	Loss: 0.2083	LR: 0.004000
Training Epoch: 5 [40704/46250]	Loss: 0.2371	LR: 0.004000
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Training Epoch: 5 [41216/46250]	Loss: 0.1322	LR: 0.004000
Training Epoch: 5 [41472/46250]	Loss: 0.2427	LR: 0.004000
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Training Epoch: 5 [41984/46250]	Loss: 0.1640	LR: 0.004000
Training Epoch: 5 [42240/46250]	Loss: 0.1634	LR: 0.004000
Training Epoch: 5 [42496/46250]	Loss: 0.1570	LR: 0.004000
Training Epoch: 5 [42752/46250]	Loss: 0.1704	LR: 0.004000
Training Epoch: 5 [43008/46250]	Loss: 0.2178	LR: 0.004000
Training Epoch: 5 [43264/46250]	Loss: 0.1908	LR: 0.004000
Training Epoch: 5 [43520/46250]	Loss: 0.1730	LR: 0.004000
Training Epoch: 5 [43776/46250]	Loss: 0.2427	LR: 0.004000
Training Epoch: 5 [44032/46250]	Loss: 0.2094	LR: 0.004000
Training Epoch: 5 [44288/46250]	Loss: 0.1580	LR: 0.004000
Training Epoch: 5 [44544/46250]	Loss: 0.2400	LR: 0.004000
Training Epoch: 5 [44800/46250]	Loss: 0.2063	LR: 0.004000
Training Epoch: 5 [45056/46250]	Loss: 0.1497	LR: 0.004000
Training Epoch: 5 [45312/46250]	Loss: 0.2181	LR: 0.004000
Training Epoch: 5 [45568/46250]	Loss: 0.1950	LR: 0.004000
Training Epoch: 5 [45824/46250]	Loss: 0.1670	LR: 0.004000
Training Epoch: 5 [46080/46250]	Loss: 0.1523	LR: 0.004000
Training Epoch: 5 [46250/46250]	Loss: 0.1348	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2255, Train Accuracy: 0.9277
Epoch 5 training time consumed: 17.83s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8142, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_35m_31s/ResNet18-Cifar10-seed6-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.1138	LR: 0.004000
Training Epoch: 6 [512/46250]	Loss: 0.1648	LR: 0.004000
Training Epoch: 6 [768/46250]	Loss: 0.1328	LR: 0.004000
Training Epoch: 6 [1024/46250]	Loss: 0.1440	LR: 0.004000
Training Epoch: 6 [1280/46250]	Loss: 0.1199	LR: 0.004000
Training Epoch: 6 [1536/46250]	Loss: 0.1453	LR: 0.004000
Training Epoch: 6 [1792/46250]	Loss: 0.1231	LR: 0.004000
Training Epoch: 6 [2048/46250]	Loss: 0.1278	LR: 0.004000
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Training Epoch: 6 [3328/46250]	Loss: 0.1198	LR: 0.004000
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Training Epoch: 6 [3840/46250]	Loss: 0.1395	LR: 0.004000
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Training Epoch: 6 [4352/46250]	Loss: 0.1192	LR: 0.004000
Training Epoch: 6 [4608/46250]	Loss: 0.1336	LR: 0.004000
Training Epoch: 6 [4864/46250]	Loss: 0.1219	LR: 0.004000
Training Epoch: 6 [5120/46250]	Loss: 0.1156	LR: 0.004000
Training Epoch: 6 [5376/46250]	Loss: 0.1322	LR: 0.004000
Training Epoch: 6 [5632/46250]	Loss: 0.1523	LR: 0.004000
Training Epoch: 6 [5888/46250]	Loss: 0.1367	LR: 0.004000
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Training Epoch: 6 [8448/46250]	Loss: 0.1527	LR: 0.004000
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Training Epoch: 6 [28416/46250]	Loss: 0.0958	LR: 0.004000
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Training Epoch: 6 [36096/46250]	Loss: 0.1508	LR: 0.004000
Training Epoch: 6 [36352/46250]	Loss: 0.1211	LR: 0.004000
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Training Epoch: 6 [37376/46250]	Loss: 0.1431	LR: 0.004000
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Training Epoch: 6 [37888/46250]	Loss: 0.1139	LR: 0.004000
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Training Epoch: 6 [38656/46250]	Loss: 0.1238	LR: 0.004000
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Training Epoch: 6 [39168/46250]	Loss: 0.1597	LR: 0.004000
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Training Epoch: 6 [39936/46250]	Loss: 0.1067	LR: 0.004000
Training Epoch: 6 [40192/46250]	Loss: 0.0849	LR: 0.004000
Training Epoch: 6 [40448/46250]	Loss: 0.1081	LR: 0.004000
Training Epoch: 6 [40704/46250]	Loss: 0.1324	LR: 0.004000
Training Epoch: 6 [40960/46250]	Loss: 0.1643	LR: 0.004000
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Training Epoch: 6 [42240/46250]	Loss: 0.1152	LR: 0.004000
Training Epoch: 6 [42496/46250]	Loss: 0.1419	LR: 0.004000
Training Epoch: 6 [42752/46250]	Loss: 0.0945	LR: 0.004000
Training Epoch: 6 [43008/46250]	Loss: 0.1521	LR: 0.004000
Training Epoch: 6 [43264/46250]	Loss: 0.1453	LR: 0.004000
Training Epoch: 6 [43520/46250]	Loss: 0.1010	LR: 0.004000
Training Epoch: 6 [43776/46250]	Loss: 0.1328	LR: 0.004000
Training Epoch: 6 [44032/46250]	Loss: 0.1091	LR: 0.004000
Training Epoch: 6 [44288/46250]	Loss: 0.1416	LR: 0.004000
Training Epoch: 6 [44544/46250]	Loss: 0.0976	LR: 0.004000
Training Epoch: 6 [44800/46250]	Loss: 0.1727	LR: 0.004000
Training Epoch: 6 [45056/46250]	Loss: 0.0894	LR: 0.004000
Training Epoch: 6 [45312/46250]	Loss: 0.1520	LR: 0.004000
Training Epoch: 6 [45568/46250]	Loss: 0.1148	LR: 0.004000
Training Epoch: 6 [45824/46250]	Loss: 0.1056	LR: 0.004000
Training Epoch: 6 [46080/46250]	Loss: 0.1355	LR: 0.004000
Training Epoch: 6 [46250/46250]	Loss: 0.1027	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1255, Train Accuracy: 0.9646
Epoch 6 training time consumed: 17.96s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8152, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_35m_31s/ResNet18-Cifar10-seed6-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.0918	LR: 0.004000
Training Epoch: 7 [512/46250]	Loss: 0.0709	LR: 0.004000
Training Epoch: 7 [768/46250]	Loss: 0.0746	LR: 0.004000
Training Epoch: 7 [1024/46250]	Loss: 0.0913	LR: 0.004000
Training Epoch: 7 [1280/46250]	Loss: 0.0683	LR: 0.004000
Training Epoch: 7 [1536/46250]	Loss: 0.0673	LR: 0.004000
Training Epoch: 7 [1792/46250]	Loss: 0.0799	LR: 0.004000
Training Epoch: 7 [2048/46250]	Loss: 0.0624	LR: 0.004000
Training Epoch: 7 [2304/46250]	Loss: 0.0682	LR: 0.004000
Training Epoch: 7 [2560/46250]	Loss: 0.0757	LR: 0.004000
Training Epoch: 7 [2816/46250]	Loss: 0.0582	LR: 0.004000
Training Epoch: 7 [3072/46250]	Loss: 0.0567	LR: 0.004000
Training Epoch: 7 [3328/46250]	Loss: 0.0524	LR: 0.004000
Training Epoch: 7 [3584/46250]	Loss: 0.0452	LR: 0.004000
Training Epoch: 7 [3840/46250]	Loss: 0.0778	LR: 0.004000
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Training Epoch: 7 [4352/46250]	Loss: 0.0880	LR: 0.004000
Training Epoch: 7 [4608/46250]	Loss: 0.0858	LR: 0.004000
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Training Epoch: 7 [5120/46250]	Loss: 0.0669	LR: 0.004000
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Training Epoch: 7 [8448/46250]	Loss: 0.0457	LR: 0.004000
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Training Epoch: 7 [40448/46250]	Loss: 0.0572	LR: 0.004000
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Training Epoch: 7 [42240/46250]	Loss: 0.0510	LR: 0.004000
Training Epoch: 7 [42496/46250]	Loss: 0.0453	LR: 0.004000
Training Epoch: 7 [42752/46250]	Loss: 0.0514	LR: 0.004000
Training Epoch: 7 [43008/46250]	Loss: 0.0571	LR: 0.004000
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Training Epoch: 7 [43520/46250]	Loss: 0.0543	LR: 0.004000
Training Epoch: 7 [43776/46250]	Loss: 0.0456	LR: 0.004000
Training Epoch: 7 [44032/46250]	Loss: 0.0691	LR: 0.004000
Training Epoch: 7 [44288/46250]	Loss: 0.0488	LR: 0.004000
Training Epoch: 7 [44544/46250]	Loss: 0.0492	LR: 0.004000
Training Epoch: 7 [44800/46250]	Loss: 0.0539	LR: 0.004000
Training Epoch: 7 [45056/46250]	Loss: 0.0449	LR: 0.004000
Training Epoch: 7 [45312/46250]	Loss: 0.0525	LR: 0.004000
Training Epoch: 7 [45568/46250]	Loss: 0.0676	LR: 0.004000
Training Epoch: 7 [45824/46250]	Loss: 0.0536	LR: 0.004000
Training Epoch: 7 [46080/46250]	Loss: 0.0516	LR: 0.004000
Training Epoch: 7 [46250/46250]	Loss: 0.0557	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0618, Train Accuracy: 0.9873
Epoch 7 training time consumed: 17.69s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8098, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_35m_31s/ResNet18-Cifar10-seed6-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0239	LR: 0.004000
Training Epoch: 8 [512/46250]	Loss: 0.0309	LR: 0.004000
Training Epoch: 8 [768/46250]	Loss: 0.0357	LR: 0.004000
Training Epoch: 8 [1024/46250]	Loss: 0.0279	LR: 0.004000
Training Epoch: 8 [1280/46250]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [1536/46250]	Loss: 0.0552	LR: 0.004000
Training Epoch: 8 [1792/46250]	Loss: 0.0242	LR: 0.004000
Training Epoch: 8 [2048/46250]	Loss: 0.0265	LR: 0.004000
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Training Epoch: 8 [2560/46250]	Loss: 0.0254	LR: 0.004000
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Training Epoch: 8 [10240/46250]	Loss: 0.0298	LR: 0.004000
Training Epoch: 8 [10496/46250]	Loss: 0.0260	LR: 0.004000
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Training Epoch: 8 [11008/46250]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [11264/46250]	Loss: 0.0353	LR: 0.004000
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Training Epoch: 8 [12032/46250]	Loss: 0.0229	LR: 0.004000
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Training Epoch: 8 [12800/46250]	Loss: 0.0455	LR: 0.004000
Training Epoch: 8 [13056/46250]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [13312/46250]	Loss: 0.0231	LR: 0.004000
Training Epoch: 8 [13568/46250]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [13824/46250]	Loss: 0.0285	LR: 0.004000
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Training Epoch: 8 [15872/46250]	Loss: 0.0281	LR: 0.004000
Training Epoch: 8 [16128/46250]	Loss: 0.0232	LR: 0.004000
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Training Epoch: 8 [16896/46250]	Loss: 0.0316	LR: 0.004000
Training Epoch: 8 [17152/46250]	Loss: 0.0267	LR: 0.004000
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Training Epoch: 8 [20224/46250]	Loss: 0.0198	LR: 0.004000
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Training Epoch: 8 [24576/46250]	Loss: 0.0201	LR: 0.004000
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Training Epoch: 8 [27392/46250]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [27648/46250]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [27904/46250]	Loss: 0.0218	LR: 0.004000
Training Epoch: 8 [28160/46250]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [28416/46250]	Loss: 0.0286	LR: 0.004000
Training Epoch: 8 [28672/46250]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [28928/46250]	Loss: 0.0248	LR: 0.004000
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Training Epoch: 8 [29440/46250]	Loss: 0.0235	LR: 0.004000
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Training Epoch: 8 [30208/46250]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [30464/46250]	Loss: 0.0249	LR: 0.004000
Training Epoch: 8 [30720/46250]	Loss: 0.0278	LR: 0.004000
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Training Epoch: 8 [32256/46250]	Loss: 0.0215	LR: 0.004000
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Training Epoch: 8 [32768/46250]	Loss: 0.0310	LR: 0.004000
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Training Epoch: 8 [33536/46250]	Loss: 0.0237	LR: 0.004000
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Training Epoch: 8 [34048/46250]	Loss: 0.0194	LR: 0.004000
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Training Epoch: 8 [35072/46250]	Loss: 0.0175	LR: 0.004000
Training Epoch: 8 [35328/46250]	Loss: 0.0276	LR: 0.004000
Training Epoch: 8 [35584/46250]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [35840/46250]	Loss: 0.0252	LR: 0.004000
Training Epoch: 8 [36096/46250]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [36352/46250]	Loss: 0.0132	LR: 0.004000
Training Epoch: 8 [36608/46250]	Loss: 0.0171	LR: 0.004000
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Training Epoch: 8 [37120/46250]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [37376/46250]	Loss: 0.0499	LR: 0.004000
Training Epoch: 8 [37632/46250]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [37888/46250]	Loss: 0.0333	LR: 0.004000
Training Epoch: 8 [38144/46250]	Loss: 0.0199	LR: 0.004000
Training Epoch: 8 [38400/46250]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [38656/46250]	Loss: 0.0232	LR: 0.004000
Training Epoch: 8 [38912/46250]	Loss: 0.0351	LR: 0.004000
Training Epoch: 8 [39168/46250]	Loss: 0.0168	LR: 0.004000
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Training Epoch: 8 [39680/46250]	Loss: 0.0199	LR: 0.004000
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Training Epoch: 8 [40192/46250]	Loss: 0.0197	LR: 0.004000
Training Epoch: 8 [40448/46250]	Loss: 0.0160	LR: 0.004000
Training Epoch: 8 [40704/46250]	Loss: 0.0330	LR: 0.004000
Training Epoch: 8 [40960/46250]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [41216/46250]	Loss: 0.0236	LR: 0.004000
Training Epoch: 8 [41472/46250]	Loss: 0.0141	LR: 0.004000
Training Epoch: 8 [41728/46250]	Loss: 0.0172	LR: 0.004000
Training Epoch: 8 [41984/46250]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [42240/46250]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [42496/46250]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [42752/46250]	Loss: 0.0287	LR: 0.004000
Training Epoch: 8 [43008/46250]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [43264/46250]	Loss: 0.0353	LR: 0.004000
Training Epoch: 8 [43520/46250]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [43776/46250]	Loss: 0.0366	LR: 0.004000
Training Epoch: 8 [44032/46250]	Loss: 0.0347	LR: 0.004000
Training Epoch: 8 [44288/46250]	Loss: 0.0183	LR: 0.004000
Training Epoch: 8 [44544/46250]	Loss: 0.0285	LR: 0.004000
Training Epoch: 8 [44800/46250]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [45056/46250]	Loss: 0.0307	LR: 0.004000
Training Epoch: 8 [45312/46250]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [45568/46250]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [45824/46250]	Loss: 0.0183	LR: 0.004000
Training Epoch: 8 [46080/46250]	Loss: 0.0196	LR: 0.004000
Training Epoch: 8 [46250/46250]	Loss: 0.0363	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0259, Train Accuracy: 0.9979
Epoch 8 training time consumed: 17.88s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8185, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_35m_31s/ResNet18-Cifar10-seed6-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [512/46250]	Loss: 0.0184	LR: 0.000800
Training Epoch: 9 [768/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [1024/46250]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [1280/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [1536/46250]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [1792/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [2048/46250]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [2304/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [2560/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [2816/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [3072/46250]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [3328/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [3584/46250]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [3840/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [4096/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [4352/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [4608/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [4864/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [5120/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [5376/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [5632/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [5888/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [6144/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [6400/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [6656/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [6912/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [7168/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [7424/46250]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [7680/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [7936/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [8192/46250]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [8448/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [8704/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [8960/46250]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [9216/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [9472/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [9728/46250]	Loss: 0.0216	LR: 0.000800
Training Epoch: 9 [9984/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [10240/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [10496/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [10752/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [11008/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [11264/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [11520/46250]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [11776/46250]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [12032/46250]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [12288/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [12544/46250]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [12800/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [13056/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [13312/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [13568/46250]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [13824/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [14080/46250]	Loss: 0.0102	LR: 0.000800
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Training Epoch: 9 [14848/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [15104/46250]	Loss: 0.0108	LR: 0.000800
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Training Epoch: 9 [15616/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [15872/46250]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [16128/46250]	Loss: 0.0111	LR: 0.000800
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Training Epoch: 9 [21760/46250]	Loss: 0.0107	LR: 0.000800
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Training Epoch: 9 [26368/46250]	Loss: 0.0092	LR: 0.000800
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Training Epoch: 9 [28416/46250]	Loss: 0.0108	LR: 0.000800
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Training Epoch: 9 [35072/46250]	Loss: 0.0098	LR: 0.000800
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Training Epoch: 9 [35584/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [35840/46250]	Loss: 0.0188	LR: 0.000800
Training Epoch: 9 [36096/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [36352/46250]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [36608/46250]	Loss: 0.0106	LR: 0.000800
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Training Epoch: 9 [37120/46250]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [37376/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [37632/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [37888/46250]	Loss: 0.0104	LR: 0.000800
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Training Epoch: 9 [38400/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [38656/46250]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [38912/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [39168/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [39424/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [39680/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [39936/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [40192/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [40448/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [40704/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [40960/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [41216/46250]	Loss: 0.0259	LR: 0.000800
Training Epoch: 9 [41472/46250]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [41728/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [41984/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [42240/46250]	Loss: 0.0078	LR: 0.000800
Training Epoch: 9 [42496/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [42752/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [43008/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [43264/46250]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [43520/46250]	Loss: 0.0073	LR: 0.000800
Training Epoch: 9 [43776/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [44032/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [44288/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [44544/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [44800/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [45056/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [45312/46250]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [45568/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [45824/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [46080/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [46250/46250]	Loss: 0.0130	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0119, Train Accuracy: 0.9998
Epoch 9 training time consumed: 17.67s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0027, Accuracy: 0.8193, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_35m_31s/ResNet18-Cifar10-seed6-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [512/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [768/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [1024/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [1280/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [1536/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [1792/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [2048/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [2304/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [2560/46250]	Loss: 0.0064	LR: 0.000800
Training Epoch: 10 [2816/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [3072/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [3328/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [3584/46250]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [3840/46250]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [4096/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [4352/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [4608/46250]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [4864/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [5120/46250]	Loss: 0.0143	LR: 0.000800
Training Epoch: 10 [5376/46250]	Loss: 0.0139	LR: 0.000800
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Training Epoch: 10 [5888/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [6144/46250]	Loss: 0.0094	LR: 0.000800
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Training Epoch: 10 [8192/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [8448/46250]	Loss: 0.0095	LR: 0.000800
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Training Epoch: 10 [8960/46250]	Loss: 0.0094	LR: 0.000800
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Training Epoch: 10 [9472/46250]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 10 [10240/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [10496/46250]	Loss: 0.0074	LR: 0.000800
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Training Epoch: 10 [12288/46250]	Loss: 0.0092	LR: 0.000800
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Training Epoch: 10 [13312/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [13568/46250]	Loss: 0.0113	LR: 0.000800
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Training Epoch: 10 [14848/46250]	Loss: 0.0145	LR: 0.000800
Training Epoch: 10 [15104/46250]	Loss: 0.0083	LR: 0.000800
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Training Epoch: 10 [21760/46250]	Loss: 0.0089	LR: 0.000800
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Training Epoch: 10 [25600/46250]	Loss: 0.0098	LR: 0.000800
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Training Epoch: 10 [30720/46250]	Loss: 0.0085	LR: 0.000800
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Training Epoch: 10 [31232/46250]	Loss: 0.0091	LR: 0.000800
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Training Epoch: 10 [32512/46250]	Loss: 0.0084	LR: 0.000800
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Training Epoch: 10 [33280/46250]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [33536/46250]	Loss: 0.0091	LR: 0.000800
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Training Epoch: 10 [34304/46250]	Loss: 0.0111	LR: 0.000800
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Training Epoch: 10 [35328/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [35584/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [35840/46250]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [36096/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [36352/46250]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [36608/46250]	Loss: 0.0083	LR: 0.000800
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Training Epoch: 10 [37376/46250]	Loss: 0.0083	LR: 0.000800
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Training Epoch: 10 [37888/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [38144/46250]	Loss: 0.0084	LR: 0.000800
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Training Epoch: 10 [38912/46250]	Loss: 0.0076	LR: 0.000800
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Training Epoch: 10 [39680/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [39936/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [40192/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [40448/46250]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [40704/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [40960/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [41216/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [41472/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [41728/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [41984/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [42240/46250]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [42496/46250]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [42752/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [43008/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [43264/46250]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [43520/46250]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [43776/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [44032/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [44288/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [44544/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [44800/46250]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [45056/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [45312/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [45568/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [45824/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [46080/46250]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [46250/46250]	Loss: 0.0078	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0099, Train Accuracy: 0.9999
Epoch 10 training time consumed: 17.68s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8196, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_12h_35m_31s/ResNet18-Cifar10-seed6-ret25-10-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 82.08984375
Retain Accuracy: 99.99784088134766
Zero-Retain Forget (ZRF): 0.776961088180542
Membership Inference Attack (MIA): 0.6013333333333334
Forget vs Retain Membership Inference Attack (MIA): 0.6126666666666667
Forget vs Test Membership Inference Attack (MIA): 0.48533333333333334
Test vs Retain Membership Inference Attack (MIA): 0.6245
Train vs Test Membership Inference Attack (MIA): 0.64125
Forget Set Accuracy (Df): 82.32837677001953
Method Execution Time: 1100.53 seconds
