hello
hello

📌 Retain class distribution for seed 7:
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 7:
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: 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: 2.4502	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.4096	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3740	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3684	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3743	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2679	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2512	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2623	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2389	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.3268	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.3448	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.3385	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1332	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1662	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0077	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.0408	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9809	LR: 0.008840
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Training Epoch: 1 [4864/46250]	Loss: 1.9988	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.9230	LR: 0.010497
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Training Epoch: 1 [5888/46250]	Loss: 1.9947	LR: 0.012155
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Training Epoch: 1 [7168/46250]	Loss: 1.8990	LR: 0.014917
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Training Epoch: 1 [8192/46250]	Loss: 1.9253	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.9076	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 1.7796	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.9416	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 2.0155	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7859	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.8892	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8291	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.9298	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7748	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.8379	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8304	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.9554	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7639	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.7972	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7643	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.8287	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7205	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.6849	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7283	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.8071	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7730	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.7234	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6671	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.6904	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7735	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.7877	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.6964	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.6892	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7451	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.8882	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.7182	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.7641	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.8037	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.8555	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.5982	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.8554	LR: 0.037569
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Training Epoch: 1 [18176/46250]	Loss: 1.8396	LR: 0.038674
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Training Epoch: 1 [18688/46250]	Loss: 2.0398	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.7403	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.8325	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.8557	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.6976	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.8754	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.6492	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.8393	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.7300	LR: 0.044199
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Training Epoch: 1 [21248/46250]	Loss: 1.6849	LR: 0.045304
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Training Epoch: 1 [21760/46250]	Loss: 1.6056	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6310	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.7037	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.5247	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6336	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.6883	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.7138	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.7162	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.5269	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.7219	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.6169	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.6968	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.7185	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.5476	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.6122	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.6809	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.7368	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.6819	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.7351	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.6383	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.6103	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.7654	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.7082	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.6654	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.6602	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.6743	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.4807	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.5928	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.5560	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.6938	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.7178	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.7052	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.5894	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.5421	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.5253	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.6250	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.7455	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.5832	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.5449	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.5971	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.5469	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.6048	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5685	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.6233	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.5756	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5139	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5454	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.5083	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.6135	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.4891	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.5058	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.5705	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4642	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.6599	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.5217	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.6015	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.6798	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.6037	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.5648	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.7420	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.6022	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.5460	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.8298	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.5469	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.6682	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.6432	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.7570	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.6291	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.6955	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.5989	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.6164	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.8628	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.8932	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.6073	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.6982	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.7773	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.6942	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.4489	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.6042	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.8672	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.4924	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4767	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.5428	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.6535	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.6536	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.6580	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.6039	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.5451	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.5739	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4690	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3791	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.3756	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.4890	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4695	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.3516	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.4426	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.5050	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7533, Train Accuracy: 0.3560
Epoch 1 training time consumed: 28.88s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0066, Accuracy: 0.4505, Time consumed:1.16s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.5306	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.4441	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4308	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4698	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3749	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.4513	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.5307	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.3502	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.4384	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.3734	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.5000	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.4446	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.4220	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.2765	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3499	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3305	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3215	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.5011	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4026	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.4833	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.3944	LR: 0.100000
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Training Epoch: 2 [7168/46250]	Loss: 1.3642	LR: 0.100000
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Training Epoch: 2 [8192/46250]	Loss: 1.3022	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.4427	LR: 0.100000
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Training Epoch: 2 [10240/46250]	Loss: 1.3718	LR: 0.100000
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Training Epoch: 2 [13568/46250]	Loss: 1.3268	LR: 0.100000
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Training Epoch: 2 [14592/46250]	Loss: 1.3743	LR: 0.100000
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Training Epoch: 2 [16896/46250]	Loss: 1.3909	LR: 0.100000
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Training Epoch: 2 [18688/46250]	Loss: 1.3286	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.2522	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.2192	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2552, Train Accuracy: 0.5479
Epoch 2 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0043, Accuracy: 0.6151, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.1021	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.9041	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9899, Train Accuracy: 0.6491
Epoch 3 training time consumed: 28.08s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0041, Accuracy: 0.6498, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8263	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.8894	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8434, Train Accuracy: 0.7033
Epoch 4 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7141, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-4-best.pth
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Training Epoch: 5 [46080/46250]	Loss: 0.6632	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.7010	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7427, Train Accuracy: 0.7416
Epoch 5 training time consumed: 28.02s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0028, Accuracy: 0.7615, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.7079	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.6631	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6674, Train Accuracy: 0.7673
Epoch 6 training time consumed: 28.14s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.7615, Time consumed:0.94s
Training Epoch: 7 [256/46250]	Loss: 0.6529	LR: 0.100000
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Training Epoch: 7 [46250/46250]	Loss: 0.6912	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6151, Train Accuracy: 0.7866
Epoch 7 training time consumed: 28.01s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.7839, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.6244	LR: 0.020000
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Training Epoch: 8 [45824/46250]	Loss: 0.4240	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.3832	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.5028	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4615, Train Accuracy: 0.8404
Epoch 8 training time consumed: 28.11s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8505, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4213	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.4948	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.3764	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4455	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3957	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4202, Train Accuracy: 0.8553
Epoch 9 training time consumed: 28.04s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8525, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4409	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4134	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.4682	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3647	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.4281	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.3410	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.3549	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.3845	LR: 0.020000
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Training Epoch: 10 [24576/46250]	Loss: 0.3901	LR: 0.020000
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Training Epoch: 10 [25088/46250]	Loss: 0.4447	LR: 0.020000
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Training Epoch: 10 [42240/46250]	Loss: 0.3556	LR: 0.020000
Training Epoch: 10 [42496/46250]	Loss: 0.3926	LR: 0.020000
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Training Epoch: 10 [43520/46250]	Loss: 0.3542	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.3933	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.4994	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.3380	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.3079	LR: 0.020000
Training Epoch: 10 [44800/46250]	Loss: 0.3334	LR: 0.020000
Training Epoch: 10 [45056/46250]	Loss: 0.4542	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.5174	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.4119	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.4331	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3583	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.4013	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3971, Train Accuracy: 0.8616
Epoch 10 training time consumed: 28.13s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8592, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.3901	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.3295	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.3225	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.4699	LR: 0.020000
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Training Epoch: 11 [1536/46250]	Loss: 0.3524	LR: 0.020000
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Training Epoch: 11 [3072/46250]	Loss: 0.3626	LR: 0.020000
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Training Epoch: 11 [28928/46250]	Loss: 0.3184	LR: 0.020000
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Training Epoch: 11 [40192/46250]	Loss: 0.4574	LR: 0.020000
Training Epoch: 11 [40448/46250]	Loss: 0.4442	LR: 0.020000
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Training Epoch: 11 [43520/46250]	Loss: 0.4277	LR: 0.020000
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Training Epoch: 11 [44288/46250]	Loss: 0.3494	LR: 0.020000
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Training Epoch: 11 [44800/46250]	Loss: 0.3712	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3389	LR: 0.020000
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Training Epoch: 11 [45568/46250]	Loss: 0.4384	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.4306	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3532	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3712, Train Accuracy: 0.8686
Epoch 11 training time consumed: 27.99s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8600, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-11-best.pth
Training Epoch: 12 [256/46250]	Loss: 0.2744	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3764	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3015	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3748	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3308	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3019	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3115	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.4072	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3588	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.2971	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3498	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.2456	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.4046	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.2798	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3037	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.2794	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.4166	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.3368	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3381	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3335, Train Accuracy: 0.8838
Epoch 12 training time consumed: 27.99s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8791, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2656	LR: 0.004000
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Training Epoch: 13 [42496/46250]	Loss: 0.2734	LR: 0.004000
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Training Epoch: 13 [43520/46250]	Loss: 0.3235	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3223	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3273	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.2837	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3932	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3332	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3197	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2910	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.3271	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.2531	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3101	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3344	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3146, Train Accuracy: 0.8907
Epoch 13 training time consumed: 27.95s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8802, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3046	LR: 0.004000
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Training Epoch: 14 [44544/46250]	Loss: 0.3559	LR: 0.004000
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Training Epoch: 14 [45056/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 14 [45312/46250]	Loss: 0.2687	LR: 0.004000
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Training Epoch: 14 [45824/46250]	Loss: 0.2751	LR: 0.004000
Training Epoch: 14 [46080/46250]	Loss: 0.3082	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2820	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3076, Train Accuracy: 0.8926
Epoch 14 training time consumed: 27.94s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8800, Time consumed:0.89s
Training Epoch: 15 [256/46250]	Loss: 0.2991	LR: 0.004000
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Training Epoch: 15 [1024/46250]	Loss: 0.3313	LR: 0.004000
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Training Epoch: 15 [44288/46250]	Loss: 0.2890	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.2688	LR: 0.004000
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Training Epoch: 15 [45568/46250]	Loss: 0.2589	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.2777	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.3444	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3015, Train Accuracy: 0.8958
Epoch 15 training time consumed: 28.03s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8827, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.2536	LR: 0.000800
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Training Epoch: 16 [1536/46250]	Loss: 0.3207	LR: 0.000800
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Training Epoch: 16 [37888/46250]	Loss: 0.2907	LR: 0.000800
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Training Epoch: 16 [40448/46250]	Loss: 0.2700	LR: 0.000800
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Training Epoch: 16 [41728/46250]	Loss: 0.2861	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.3441	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.3658	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.3530	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2356	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2721	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.3432	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2369	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2842	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2544	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2964	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.3375	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.3219	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3324	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2191	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3002	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2413	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2876, Train Accuracy: 0.8994
Epoch 16 training time consumed: 27.99s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8849, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2746	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.2466	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2595	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.3115	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.2754	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.2765	LR: 0.000800
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Training Epoch: 17 [5632/46250]	Loss: 0.2426	LR: 0.000800
Training Epoch: 17 [5888/46250]	Loss: 0.3043	LR: 0.000800
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Training Epoch: 17 [40448/46250]	Loss: 0.2265	LR: 0.000800
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Training Epoch: 17 [42496/46250]	Loss: 0.3365	LR: 0.000800
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Training Epoch: 17 [43520/46250]	Loss: 0.2805	LR: 0.000800
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Training Epoch: 17 [44032/46250]	Loss: 0.3544	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.2584	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2062	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2959	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.2793	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.3207	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.3866	LR: 0.000800
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Training Epoch: 17 [46080/46250]	Loss: 0.2876	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.2764	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2852, Train Accuracy: 0.9000
Epoch 17 training time consumed: 27.98s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8861, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.3188	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2391	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.1921	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2768	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2320	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2446	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.3183	LR: 0.000800
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Training Epoch: 18 [17152/46250]	Loss: 0.3263	LR: 0.000800
Training Epoch: 18 [17408/46250]	Loss: 0.2343	LR: 0.000800
Training Epoch: 18 [17664/46250]	Loss: 0.2468	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.3545	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.2684	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.2788	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.2136	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.3370	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.3235	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.2320	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.2407	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.3915	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.3040	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.2753	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.2933	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.2829	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.2439	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.2254	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.2645	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.2841	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.2356	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.3146	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.3523	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.3143	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.2909	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.1906	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.3182	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.2970	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.3421	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.2944	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.3711	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.2065	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.2691	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.3187	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.2848	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.2691	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.2863	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.3204	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.2564	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.3518	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.3012	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.3170	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.3553	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.2724	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.2555	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.3044	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.1986	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.3200	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.2591	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.2225	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.2389	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.2855	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.2701	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.2013	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.3090	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.2735	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.2788	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.3441	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.2348	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.2416	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.2481	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.3212	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.2538	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.2538	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.2989	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.3790	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.3377	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.2065	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.2739	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.2916	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.3188	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.2715	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.3362	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.2988	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.2717	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.3463	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.3211	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.2635	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.3102	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.2472	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.2815	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.2227	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.2640	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.2952	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.2308	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2485	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.3156	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.2942	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.2941	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.2131	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2516	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2791	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.2095	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.2939	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2224	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.3438	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2358	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2336	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2999	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3115	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2747	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2958	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2399	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2281	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2533	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2812, Train Accuracy: 0.9014
Epoch 18 training time consumed: 27.99s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8858, Time consumed:0.88s
Training Epoch: 19 [256/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.2658	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.2719	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.3493	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.2566	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2731	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.3230	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2963	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.3944	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.2489	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.3657	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2808	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.3002	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.3055	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.3116	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.2785	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.2642	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.3102	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.2288	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.3470	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.2743	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.2647	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.1996	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.2499	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.3250	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.2162	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.2987	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.2322	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.3186	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.3117	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.2619	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.2668	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.3440	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.2770	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.2595	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2804	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.3487	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.3232	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2237	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.2717	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.3367	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.2251	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.2125	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.3236	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.2110	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.1954	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.2434	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.2708	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2042	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.2392	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.2664	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.2927	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.3467	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.3166	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.2063	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.3454	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.2179	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.2797	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.3050	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.2821	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.2672	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.2602	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.2785	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.3571	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.2829	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.3227	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.2147	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.3545	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.3012	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.2117	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.2353	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.3720	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.2321	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.2277	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.3097	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.3302	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.3113	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.1701	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.3735	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.3052	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.2975	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.2802	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.2907	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.2549	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.3252	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.2499	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.1929	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.2863	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.2970	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.3219	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.2748	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.2871	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.3183	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.2826	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.2471	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.3699	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.2888	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.2491	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.2362	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.2701	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.3790	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.2562	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.3103	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.2333	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.2751	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.3013	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.3512	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.2387	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.2474	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.2304	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.2743	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.2722	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.3195	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.2785	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2407	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.2581	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.3049	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.3018	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.2828	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.2484	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.2867	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.2873	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.2110	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.2639	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.2704	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.2209	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.3128	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.2337	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.2006	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.2277	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.3704	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.3014	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.3285	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.2853	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.3596	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.2833	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.1865	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.4097	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.4223	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2125	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.3091	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2311	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3091	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2805, Train Accuracy: 0.9017
Epoch 19 training time consumed: 28.40s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8863, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.3185	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2456	LR: 0.000800
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Training Epoch: 20 [45056/46250]	Loss: 0.3465	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2807	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2677	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3240	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3713	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2793, Train Accuracy: 0.9028
Epoch 20 training time consumed: 27.87s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8870, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_21h_10m_40s/ResNet18-Cifar10-seed7-ret25-20-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: 88.671875
Retain Accuracy: 90.65830993652344
Zero-Retain Forget (ZRF): 0.8331025838851929
Membership Inference Attack (MIA): 0.6224
Forget vs Retain Membership Inference Attack (MIA): 0.512
Forget vs Test Membership Inference Attack (MIA): 0.5313333333333333
Test vs Retain Membership Inference Attack (MIA): 0.506
Train vs Test Membership Inference Attack (MIA): 0.5215
Forget Set Accuracy (Df): 87.65499877929688
Method Execution Time: 1540.08 seconds
