hello
hello
Labels

📌S Retain class distribution for seed 4:
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 4:
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: 2.3577	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3409	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3411	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.2890	LR: 0.001657
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Training Epoch: 1 [1536/46250]	Loss: 2.2787	LR: 0.002762
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Training Epoch: 1 [10240/46250]	Loss: 1.6511	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.6484	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7303	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.6355	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.5572	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7344	LR: 0.024309
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Training Epoch: 1 [12544/46250]	Loss: 1.7307	LR: 0.026519
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Training Epoch: 1 [25088/46250]	Loss: 1.5277	LR: 0.053591
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Training Epoch: 1 [25856/46250]	Loss: 1.4396	LR: 0.055249
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Training Epoch: 1 [27904/46250]	Loss: 1.5268	LR: 0.059669
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Training Epoch: 1 [28416/46250]	Loss: 1.6070	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.2672	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.2732	LR: 0.061878
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Training Epoch: 1 [29696/46250]	Loss: 1.3716	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.3930	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.5110	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.4405	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.4747	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.5490	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.3248	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.3897	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.4323	LR: 0.067956
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Training Epoch: 1 [32256/46250]	Loss: 1.3452	LR: 0.069061
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Training Epoch: 1 [32768/46250]	Loss: 1.3422	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.3590	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.3879	LR: 0.071271
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Training Epoch: 1 [34304/46250]	Loss: 1.2556	LR: 0.073481
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Training Epoch: 1 [35328/46250]	Loss: 1.2930	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.3410	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.4725	LR: 0.076796
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Training Epoch: 1 [36352/46250]	Loss: 1.4047	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4100	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.4561	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.2737	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.3825	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.3441	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.1538	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.3255	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.2148	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.2046	LR: 0.082873
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Training Epoch: 1 [39424/46250]	Loss: 1.2194	LR: 0.084530
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Training Epoch: 1 [39936/46250]	Loss: 1.2480	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.3215	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.4042	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.0305	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.3787	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.3563	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.3549	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.3385	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.4783	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.5594	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.2202	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.2956	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.4219	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.2561	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.4136	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.3208	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4979	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.6433	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.2047	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3784	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.5928	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.1278	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.3273	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.2875	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.2087	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.1326	LR: 0.099448
Epoch 1 - Average Train Loss: 1.5489, Train Accuracy: 0.4397
Epoch 1 training time consumed: 18.18s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0062, Accuracy: 0.5276, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_57m_17s/ResNet18-Cifar10-seed4-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.2384	LR: 0.020000
Training Epoch: 2 [512/46250]	Loss: 1.1524	LR: 0.020000
Training Epoch: 2 [768/46250]	Loss: 0.9411	LR: 0.020000
Training Epoch: 2 [1024/46250]	Loss: 0.9897	LR: 0.020000
Training Epoch: 2 [1280/46250]	Loss: 0.9629	LR: 0.020000
Training Epoch: 2 [1536/46250]	Loss: 0.9738	LR: 0.020000
Training Epoch: 2 [1792/46250]	Loss: 1.0340	LR: 0.020000
Training Epoch: 2 [2048/46250]	Loss: 1.0285	LR: 0.020000
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Training Epoch: 2 [2560/46250]	Loss: 0.9256	LR: 0.020000
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Training Epoch: 2 [3840/46250]	Loss: 0.9503	LR: 0.020000
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Training Epoch: 2 [22784/46250]	Loss: 0.8231	LR: 0.020000
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Training Epoch: 2 [41984/46250]	Loss: 0.7350	LR: 0.020000
Training Epoch: 2 [42240/46250]	Loss: 0.6733	LR: 0.020000
Training Epoch: 2 [42496/46250]	Loss: 0.6912	LR: 0.020000
Training Epoch: 2 [42752/46250]	Loss: 0.7914	LR: 0.020000
Training Epoch: 2 [43008/46250]	Loss: 0.5379	LR: 0.020000
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Training Epoch: 2 [43520/46250]	Loss: 0.7287	LR: 0.020000
Training Epoch: 2 [43776/46250]	Loss: 0.8362	LR: 0.020000
Training Epoch: 2 [44032/46250]	Loss: 0.6743	LR: 0.020000
Training Epoch: 2 [44288/46250]	Loss: 0.7151	LR: 0.020000
Training Epoch: 2 [44544/46250]	Loss: 0.6540	LR: 0.020000
Training Epoch: 2 [44800/46250]	Loss: 0.7920	LR: 0.020000
Training Epoch: 2 [45056/46250]	Loss: 0.8074	LR: 0.020000
Training Epoch: 2 [45312/46250]	Loss: 0.8360	LR: 0.020000
Training Epoch: 2 [45568/46250]	Loss: 0.7541	LR: 0.020000
Training Epoch: 2 [45824/46250]	Loss: 0.6482	LR: 0.020000
Training Epoch: 2 [46080/46250]	Loss: 0.7915	LR: 0.020000
Training Epoch: 2 [46250/46250]	Loss: 0.8105	LR: 0.020000
Epoch 2 - Average Train Loss: 0.8268, Train Accuracy: 0.7055
Epoch 2 training time consumed: 17.73s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0038, Accuracy: 0.6691, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_57m_17s/ResNet18-Cifar10-seed4-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.5996	LR: 0.020000
Training Epoch: 3 [512/46250]	Loss: 0.7142	LR: 0.020000
Training Epoch: 3 [768/46250]	Loss: 0.6356	LR: 0.020000
Training Epoch: 3 [1024/46250]	Loss: 0.8130	LR: 0.020000
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Training Epoch: 3 [1536/46250]	Loss: 0.6736	LR: 0.020000
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Training Epoch: 3 [26368/46250]	Loss: 0.6834	LR: 0.020000
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Training Epoch: 3 [42496/46250]	Loss: 0.6271	LR: 0.020000
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Training Epoch: 3 [43520/46250]	Loss: 0.5962	LR: 0.020000
Training Epoch: 3 [43776/46250]	Loss: 0.6514	LR: 0.020000
Training Epoch: 3 [44032/46250]	Loss: 0.4881	LR: 0.020000
Training Epoch: 3 [44288/46250]	Loss: 0.6154	LR: 0.020000
Training Epoch: 3 [44544/46250]	Loss: 0.5340	LR: 0.020000
Training Epoch: 3 [44800/46250]	Loss: 0.5976	LR: 0.020000
Training Epoch: 3 [45056/46250]	Loss: 0.4644	LR: 0.020000
Training Epoch: 3 [45312/46250]	Loss: 0.5055	LR: 0.020000
Training Epoch: 3 [45568/46250]	Loss: 0.5588	LR: 0.020000
Training Epoch: 3 [45824/46250]	Loss: 0.6882	LR: 0.020000
Training Epoch: 3 [46080/46250]	Loss: 0.5364	LR: 0.020000
Training Epoch: 3 [46250/46250]	Loss: 0.4056	LR: 0.020000
Epoch 3 - Average Train Loss: 0.6143, Train Accuracy: 0.7829
Epoch 3 training time consumed: 17.82s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0027, Accuracy: 0.7632, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_57m_17s/ResNet18-Cifar10-seed4-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.4762	LR: 0.020000
Training Epoch: 4 [512/46250]	Loss: 0.4425	LR: 0.020000
Training Epoch: 4 [768/46250]	Loss: 0.4387	LR: 0.020000
Training Epoch: 4 [1024/46250]	Loss: 0.3804	LR: 0.020000
Training Epoch: 4 [1280/46250]	Loss: 0.5412	LR: 0.020000
Training Epoch: 4 [1536/46250]	Loss: 0.4436	LR: 0.020000
Training Epoch: 4 [1792/46250]	Loss: 0.4731	LR: 0.020000
Training Epoch: 4 [2048/46250]	Loss: 0.4506	LR: 0.020000
Training Epoch: 4 [2304/46250]	Loss: 0.3313	LR: 0.020000
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Training Epoch: 4 [46080/46250]	Loss: 0.4703	LR: 0.020000
Training Epoch: 4 [46250/46250]	Loss: 0.3677	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4721, Train Accuracy: 0.8352
Epoch 4 training time consumed: 17.78s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0032, Accuracy: 0.7404, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_57m_17s/ResNet18-Cifar10-seed4-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.3482	LR: 0.004000
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Training Epoch: 5 [28928/46250]	Loss: 0.1896	LR: 0.004000
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Training Epoch: 5 [37376/46250]	Loss: 0.1654	LR: 0.004000
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Training Epoch: 5 [37888/46250]	Loss: 0.1695	LR: 0.004000
Training Epoch: 5 [38144/46250]	Loss: 0.2074	LR: 0.004000
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Training Epoch: 5 [40448/46250]	Loss: 0.1964	LR: 0.004000
Training Epoch: 5 [40704/46250]	Loss: 0.2059	LR: 0.004000
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Training Epoch: 5 [41216/46250]	Loss: 0.2435	LR: 0.004000
Training Epoch: 5 [41472/46250]	Loss: 0.1550	LR: 0.004000
Training Epoch: 5 [41728/46250]	Loss: 0.2374	LR: 0.004000
Training Epoch: 5 [41984/46250]	Loss: 0.1539	LR: 0.004000
Training Epoch: 5 [42240/46250]	Loss: 0.2114	LR: 0.004000
Training Epoch: 5 [42496/46250]	Loss: 0.2221	LR: 0.004000
Training Epoch: 5 [42752/46250]	Loss: 0.1676	LR: 0.004000
Training Epoch: 5 [43008/46250]	Loss: 0.2668	LR: 0.004000
Training Epoch: 5 [43264/46250]	Loss: 0.1816	LR: 0.004000
Training Epoch: 5 [43520/46250]	Loss: 0.2293	LR: 0.004000
Training Epoch: 5 [43776/46250]	Loss: 0.1515	LR: 0.004000
Training Epoch: 5 [44032/46250]	Loss: 0.1860	LR: 0.004000
Training Epoch: 5 [44288/46250]	Loss: 0.1969	LR: 0.004000
Training Epoch: 5 [44544/46250]	Loss: 0.1982	LR: 0.004000
Training Epoch: 5 [44800/46250]	Loss: 0.1878	LR: 0.004000
Training Epoch: 5 [45056/46250]	Loss: 0.1862	LR: 0.004000
Training Epoch: 5 [45312/46250]	Loss: 0.2311	LR: 0.004000
Training Epoch: 5 [45568/46250]	Loss: 0.2221	LR: 0.004000
Training Epoch: 5 [45824/46250]	Loss: 0.1584	LR: 0.004000
Training Epoch: 5 [46080/46250]	Loss: 0.1845	LR: 0.004000
Training Epoch: 5 [46250/46250]	Loss: 0.2677	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2251, Train Accuracy: 0.9272
Epoch 5 training time consumed: 17.77s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8224, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_57m_17s/ResNet18-Cifar10-seed4-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.1557	LR: 0.004000
Training Epoch: 6 [512/46250]	Loss: 0.1146	LR: 0.004000
Training Epoch: 6 [768/46250]	Loss: 0.1740	LR: 0.004000
Training Epoch: 6 [1024/46250]	Loss: 0.1285	LR: 0.004000
Training Epoch: 6 [1280/46250]	Loss: 0.1412	LR: 0.004000
Training Epoch: 6 [1536/46250]	Loss: 0.1686	LR: 0.004000
Training Epoch: 6 [1792/46250]	Loss: 0.1816	LR: 0.004000
Training Epoch: 6 [2048/46250]	Loss: 0.1814	LR: 0.004000
Training Epoch: 6 [2304/46250]	Loss: 0.1845	LR: 0.004000
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Training Epoch: 6 [2816/46250]	Loss: 0.1281	LR: 0.004000
Training Epoch: 6 [3072/46250]	Loss: 0.1093	LR: 0.004000
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Training Epoch: 6 [5376/46250]	Loss: 0.1550	LR: 0.004000
Training Epoch: 6 [5632/46250]	Loss: 0.0939	LR: 0.004000
Training Epoch: 6 [5888/46250]	Loss: 0.1163	LR: 0.004000
Training Epoch: 6 [6144/46250]	Loss: 0.1332	LR: 0.004000
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Training Epoch: 6 [11520/46250]	Loss: 0.1392	LR: 0.004000
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Training Epoch: 6 [29184/46250]	Loss: 0.1677	LR: 0.004000
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Training Epoch: 6 [30976/46250]	Loss: 0.1151	LR: 0.004000
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Training Epoch: 6 [35584/46250]	Loss: 0.1761	LR: 0.004000
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Training Epoch: 6 [36352/46250]	Loss: 0.1701	LR: 0.004000
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Training Epoch: 6 [37376/46250]	Loss: 0.1842	LR: 0.004000
Training Epoch: 6 [37632/46250]	Loss: 0.1201	LR: 0.004000
Training Epoch: 6 [37888/46250]	Loss: 0.1011	LR: 0.004000
Training Epoch: 6 [38144/46250]	Loss: 0.1397	LR: 0.004000
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Training Epoch: 6 [38656/46250]	Loss: 0.1587	LR: 0.004000
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Training Epoch: 6 [39168/46250]	Loss: 0.1796	LR: 0.004000
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Training Epoch: 6 [40192/46250]	Loss: 0.1326	LR: 0.004000
Training Epoch: 6 [40448/46250]	Loss: 0.1040	LR: 0.004000
Training Epoch: 6 [40704/46250]	Loss: 0.0938	LR: 0.004000
Training Epoch: 6 [40960/46250]	Loss: 0.1212	LR: 0.004000
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Training Epoch: 6 [42240/46250]	Loss: 0.1542	LR: 0.004000
Training Epoch: 6 [42496/46250]	Loss: 0.1480	LR: 0.004000
Training Epoch: 6 [42752/46250]	Loss: 0.1516	LR: 0.004000
Training Epoch: 6 [43008/46250]	Loss: 0.1258	LR: 0.004000
Training Epoch: 6 [43264/46250]	Loss: 0.1128	LR: 0.004000
Training Epoch: 6 [43520/46250]	Loss: 0.1249	LR: 0.004000
Training Epoch: 6 [43776/46250]	Loss: 0.1594	LR: 0.004000
Training Epoch: 6 [44032/46250]	Loss: 0.1250	LR: 0.004000
Training Epoch: 6 [44288/46250]	Loss: 0.1074	LR: 0.004000
Training Epoch: 6 [44544/46250]	Loss: 0.1264	LR: 0.004000
Training Epoch: 6 [44800/46250]	Loss: 0.1533	LR: 0.004000
Training Epoch: 6 [45056/46250]	Loss: 0.1387	LR: 0.004000
Training Epoch: 6 [45312/46250]	Loss: 0.1003	LR: 0.004000
Training Epoch: 6 [45568/46250]	Loss: 0.1364	LR: 0.004000
Training Epoch: 6 [45824/46250]	Loss: 0.1284	LR: 0.004000
Training Epoch: 6 [46080/46250]	Loss: 0.1722	LR: 0.004000
Training Epoch: 6 [46250/46250]	Loss: 0.1369	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1340, Train Accuracy: 0.9605
Epoch 6 training time consumed: 17.86s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8183, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_57m_17s/ResNet18-Cifar10-seed4-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.0694	LR: 0.004000
Training Epoch: 7 [512/46250]	Loss: 0.1204	LR: 0.004000
Training Epoch: 7 [768/46250]	Loss: 0.0720	LR: 0.004000
Training Epoch: 7 [1024/46250]	Loss: 0.0796	LR: 0.004000
Training Epoch: 7 [1280/46250]	Loss: 0.0709	LR: 0.004000
Training Epoch: 7 [1536/46250]	Loss: 0.0839	LR: 0.004000
Training Epoch: 7 [1792/46250]	Loss: 0.0986	LR: 0.004000
Training Epoch: 7 [2048/46250]	Loss: 0.0772	LR: 0.004000
Training Epoch: 7 [2304/46250]	Loss: 0.0672	LR: 0.004000
Training Epoch: 7 [2560/46250]	Loss: 0.0663	LR: 0.004000
Training Epoch: 7 [2816/46250]	Loss: 0.0936	LR: 0.004000
Training Epoch: 7 [3072/46250]	Loss: 0.0796	LR: 0.004000
Training Epoch: 7 [3328/46250]	Loss: 0.0615	LR: 0.004000
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Training Epoch: 7 [5120/46250]	Loss: 0.0678	LR: 0.004000
Training Epoch: 7 [5376/46250]	Loss: 0.0662	LR: 0.004000
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Training Epoch: 7 [8192/46250]	Loss: 0.0683	LR: 0.004000
Training Epoch: 7 [8448/46250]	Loss: 0.0557	LR: 0.004000
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Training Epoch: 7 [43520/46250]	Loss: 0.0480	LR: 0.004000
Training Epoch: 7 [43776/46250]	Loss: 0.0811	LR: 0.004000
Training Epoch: 7 [44032/46250]	Loss: 0.0710	LR: 0.004000
Training Epoch: 7 [44288/46250]	Loss: 0.0849	LR: 0.004000
Training Epoch: 7 [44544/46250]	Loss: 0.0708	LR: 0.004000
Training Epoch: 7 [44800/46250]	Loss: 0.0411	LR: 0.004000
Training Epoch: 7 [45056/46250]	Loss: 0.0568	LR: 0.004000
Training Epoch: 7 [45312/46250]	Loss: 0.0641	LR: 0.004000
Training Epoch: 7 [45568/46250]	Loss: 0.0917	LR: 0.004000
Training Epoch: 7 [45824/46250]	Loss: 0.0728	LR: 0.004000
Training Epoch: 7 [46080/46250]	Loss: 0.0795	LR: 0.004000
Training Epoch: 7 [46250/46250]	Loss: 0.0473	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0702, Train Accuracy: 0.9838
Epoch 7 training time consumed: 17.66s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.8130, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_57m_17s/ResNet18-Cifar10-seed4-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.0355	LR: 0.004000
Training Epoch: 8 [512/46250]	Loss: 0.0232	LR: 0.004000
Training Epoch: 8 [768/46250]	Loss: 0.0352	LR: 0.004000
Training Epoch: 8 [1024/46250]	Loss: 0.0383	LR: 0.004000
Training Epoch: 8 [1280/46250]	Loss: 0.0501	LR: 0.004000
Training Epoch: 8 [1536/46250]	Loss: 0.0528	LR: 0.004000
Training Epoch: 8 [1792/46250]	Loss: 0.0367	LR: 0.004000
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Training Epoch: 8 [8448/46250]	Loss: 0.0486	LR: 0.004000
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Training Epoch: 8 [10240/46250]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [10496/46250]	Loss: 0.0357	LR: 0.004000
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Training Epoch: 8 [11008/46250]	Loss: 0.0395	LR: 0.004000
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Training Epoch: 8 [13824/46250]	Loss: 0.0225	LR: 0.004000
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Training Epoch: 8 [20224/46250]	Loss: 0.0305	LR: 0.004000
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Training Epoch: 8 [24576/46250]	Loss: 0.0309	LR: 0.004000
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Training Epoch: 8 [27392/46250]	Loss: 0.0213	LR: 0.004000
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Training Epoch: 8 [27904/46250]	Loss: 0.0275	LR: 0.004000
Training Epoch: 8 [28160/46250]	Loss: 0.0236	LR: 0.004000
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Training Epoch: 8 [28928/46250]	Loss: 0.0375	LR: 0.004000
Training Epoch: 8 [29184/46250]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [29440/46250]	Loss: 0.0349	LR: 0.004000
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Training Epoch: 8 [30720/46250]	Loss: 0.0616	LR: 0.004000
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Training Epoch: 8 [32256/46250]	Loss: 0.0272	LR: 0.004000
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Training Epoch: 8 [33024/46250]	Loss: 0.0170	LR: 0.004000
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Training Epoch: 8 [33792/46250]	Loss: 0.0311	LR: 0.004000
Training Epoch: 8 [34048/46250]	Loss: 0.0365	LR: 0.004000
Training Epoch: 8 [34304/46250]	Loss: 0.0293	LR: 0.004000
Training Epoch: 8 [34560/46250]	Loss: 0.0294	LR: 0.004000
Training Epoch: 8 [34816/46250]	Loss: 0.0395	LR: 0.004000
Training Epoch: 8 [35072/46250]	Loss: 0.0244	LR: 0.004000
Training Epoch: 8 [35328/46250]	Loss: 0.0147	LR: 0.004000
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Training Epoch: 8 [37120/46250]	Loss: 0.0265	LR: 0.004000
Training Epoch: 8 [37376/46250]	Loss: 0.0376	LR: 0.004000
Training Epoch: 8 [37632/46250]	Loss: 0.0342	LR: 0.004000
Training Epoch: 8 [37888/46250]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [38144/46250]	Loss: 0.0356	LR: 0.004000
Training Epoch: 8 [38400/46250]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [38656/46250]	Loss: 0.0236	LR: 0.004000
Training Epoch: 8 [38912/46250]	Loss: 0.0315	LR: 0.004000
Training Epoch: 8 [39168/46250]	Loss: 0.0371	LR: 0.004000
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Training Epoch: 8 [40192/46250]	Loss: 0.0264	LR: 0.004000
Training Epoch: 8 [40448/46250]	Loss: 0.0291	LR: 0.004000
Training Epoch: 8 [40704/46250]	Loss: 0.0297	LR: 0.004000
Training Epoch: 8 [40960/46250]	Loss: 0.0403	LR: 0.004000
Training Epoch: 8 [41216/46250]	Loss: 0.0566	LR: 0.004000
Training Epoch: 8 [41472/46250]	Loss: 0.0347	LR: 0.004000
Training Epoch: 8 [41728/46250]	Loss: 0.0219	LR: 0.004000
Training Epoch: 8 [41984/46250]	Loss: 0.0448	LR: 0.004000
Training Epoch: 8 [42240/46250]	Loss: 0.0306	LR: 0.004000
Training Epoch: 8 [42496/46250]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [42752/46250]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [43008/46250]	Loss: 0.0432	LR: 0.004000
Training Epoch: 8 [43264/46250]	Loss: 0.0285	LR: 0.004000
Training Epoch: 8 [43520/46250]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [43776/46250]	Loss: 0.0307	LR: 0.004000
Training Epoch: 8 [44032/46250]	Loss: 0.0351	LR: 0.004000
Training Epoch: 8 [44288/46250]	Loss: 0.0242	LR: 0.004000
Training Epoch: 8 [44544/46250]	Loss: 0.0811	LR: 0.004000
Training Epoch: 8 [44800/46250]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [45056/46250]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [45312/46250]	Loss: 0.0175	LR: 0.004000
Training Epoch: 8 [45568/46250]	Loss: 0.0184	LR: 0.004000
Training Epoch: 8 [45824/46250]	Loss: 0.0451	LR: 0.004000
Training Epoch: 8 [46080/46250]	Loss: 0.0364	LR: 0.004000
Training Epoch: 8 [46250/46250]	Loss: 0.0514	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0311, Train Accuracy: 0.9959
Epoch 8 training time consumed: 17.63s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0028, Accuracy: 0.8153, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_57m_17s/ResNet18-Cifar10-seed4-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.0192	LR: 0.000800
Training Epoch: 9 [512/46250]	Loss: 0.0238	LR: 0.000800
Training Epoch: 9 [768/46250]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [1024/46250]	Loss: 0.0193	LR: 0.000800
Training Epoch: 9 [1280/46250]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [1536/46250]	Loss: 0.0228	LR: 0.000800
Training Epoch: 9 [1792/46250]	Loss: 0.0209	LR: 0.000800
Training Epoch: 9 [2048/46250]	Loss: 0.0176	LR: 0.000800
Training Epoch: 9 [2304/46250]	Loss: 0.0176	LR: 0.000800
Training Epoch: 9 [2560/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [2816/46250]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [3072/46250]	Loss: 0.0186	LR: 0.000800
Training Epoch: 9 [3328/46250]	Loss: 0.0212	LR: 0.000800
Training Epoch: 9 [3584/46250]	Loss: 0.0225	LR: 0.000800
Training Epoch: 9 [3840/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [4096/46250]	Loss: 0.0182	LR: 0.000800
Training Epoch: 9 [4352/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [4608/46250]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [4864/46250]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [5120/46250]	Loss: 0.0197	LR: 0.000800
Training Epoch: 9 [5376/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [5632/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [5888/46250]	Loss: 0.0181	LR: 0.000800
Training Epoch: 9 [6144/46250]	Loss: 0.0200	LR: 0.000800
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Training Epoch: 9 [6656/46250]	Loss: 0.0143	LR: 0.000800
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Training Epoch: 9 [7168/46250]	Loss: 0.0233	LR: 0.000800
Training Epoch: 9 [7424/46250]	Loss: 0.0149	LR: 0.000800
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Training Epoch: 9 [7936/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [8192/46250]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [8448/46250]	Loss: 0.0158	LR: 0.000800
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Training Epoch: 9 [9472/46250]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [9728/46250]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [9984/46250]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [10240/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [10496/46250]	Loss: 0.0124	LR: 0.000800
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Training Epoch: 9 [11008/46250]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [11264/46250]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [11520/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [11776/46250]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [12032/46250]	Loss: 0.0176	LR: 0.000800
Training Epoch: 9 [12288/46250]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [12544/46250]	Loss: 0.0284	LR: 0.000800
Training Epoch: 9 [12800/46250]	Loss: 0.0120	LR: 0.000800
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Training Epoch: 9 [13312/46250]	Loss: 0.0203	LR: 0.000800
Training Epoch: 9 [13568/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [13824/46250]	Loss: 0.0094	LR: 0.000800
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Training Epoch: 9 [20736/46250]	Loss: 0.0116	LR: 0.000800
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Training Epoch: 9 [28416/46250]	Loss: 0.0115	LR: 0.000800
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Training Epoch: 9 [35584/46250]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [35840/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [36096/46250]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [36352/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [36608/46250]	Loss: 0.0103	LR: 0.000800
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Training Epoch: 9 [37120/46250]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [37376/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [37632/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [37888/46250]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [38144/46250]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [38400/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [38656/46250]	Loss: 0.0194	LR: 0.000800
Training Epoch: 9 [38912/46250]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [39168/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [39424/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [39680/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [39936/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [40192/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [40448/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [40704/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [40960/46250]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [41216/46250]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [41472/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [41728/46250]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [41984/46250]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [42240/46250]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [42496/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [42752/46250]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [43008/46250]	Loss: 0.0174	LR: 0.000800
Training Epoch: 9 [43264/46250]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [43520/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [43776/46250]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [44032/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [44288/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [44544/46250]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [44800/46250]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [45056/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [45312/46250]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [45568/46250]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [45824/46250]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [46080/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [46250/46250]	Loss: 0.0132	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0137, Train Accuracy: 0.9997
Epoch 9 training time consumed: 17.84s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0027, Accuracy: 0.8215, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_57m_17s/ResNet18-Cifar10-seed4-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [512/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [768/46250]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [1024/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [1280/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 10 [1536/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [1792/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [2048/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [2304/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [2560/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [2816/46250]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [3072/46250]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [3328/46250]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [3584/46250]	Loss: 0.0144	LR: 0.000800
Training Epoch: 10 [3840/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [4096/46250]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [4352/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [4608/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [4864/46250]	Loss: 0.0150	LR: 0.000800
Training Epoch: 10 [5120/46250]	Loss: 0.0087	LR: 0.000800
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Training Epoch: 10 [5888/46250]	Loss: 0.0124	LR: 0.000800
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Training Epoch: 10 [7168/46250]	Loss: 0.0096	LR: 0.000800
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Training Epoch: 10 [8448/46250]	Loss: 0.0103	LR: 0.000800
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Training Epoch: 10 [10240/46250]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [10496/46250]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [10752/46250]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [11008/46250]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [11264/46250]	Loss: 0.0149	LR: 0.000800
Training Epoch: 10 [11520/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [11776/46250]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [12032/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [12288/46250]	Loss: 0.0087	LR: 0.000800
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Training Epoch: 10 [13312/46250]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [13568/46250]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [13824/46250]	Loss: 0.0084	LR: 0.000800
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Training Epoch: 10 [14336/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [14592/46250]	Loss: 0.0064	LR: 0.000800
Training Epoch: 10 [14848/46250]	Loss: 0.0119	LR: 0.000800
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Training Epoch: 10 [36608/46250]	Loss: 0.0092	LR: 0.000800
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Training Epoch: 10 [40448/46250]	Loss: 0.0078	LR: 0.000800
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Training Epoch: 10 [41216/46250]	Loss: 0.0103	LR: 0.000800
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Training Epoch: 10 [41728/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [41984/46250]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [42240/46250]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [42496/46250]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [42752/46250]	Loss: 0.0153	LR: 0.000800
Training Epoch: 10 [43008/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [43264/46250]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [43520/46250]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [43776/46250]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [44032/46250]	Loss: 0.0142	LR: 0.000800
Training Epoch: 10 [44288/46250]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [44544/46250]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [44800/46250]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [45056/46250]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [45312/46250]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [45568/46250]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [45824/46250]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [46080/46250]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [46250/46250]	Loss: 0.0115	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0109, Train Accuracy: 0.9997
Epoch 10 training time consumed: 17.62s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8231, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_11h_57m_17s/ResNet18-Cifar10-seed4-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: 82.28515625
Retain Accuracy: 99.98921203613281
Zero-Retain Forget (ZRF): 0.7787688970565796
Membership Inference Attack (MIA): 0.6165333333333334
Forget vs Retain Membership Inference Attack (MIA): 0.6326666666666667
Forget vs Test Membership Inference Attack (MIA): 0.48733333333333334
Test vs Retain Membership Inference Attack (MIA): 0.6265
Train vs Test Membership Inference Attack (MIA): 0.62625
Forget Set Accuracy (Df): 82.13416290283203
Method Execution Time: 1120.64 seconds
