hello
hello

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

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

📊 Updated class distribution:
Retain set:
  Class 0: 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: 2.3202	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3160	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3089	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3258	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3111	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2980	LR: 0.002762
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Training Epoch: 1 [2048/46250]	Loss: 2.2993	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2746	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2409	LR: 0.004972
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Training Epoch: 1 [8448/46250]	Loss: 1.9034	LR: 0.017680
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Training Epoch: 1 [9472/46250]	Loss: 1.8998	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7963	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.8918	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8536	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.8082	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8834	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.8561	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.7928	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7874	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.8166	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.7397	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.8473	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.6724	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7000	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.7432	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.6660	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7406	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7629	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.5933	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.7076	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.6712	LR: 0.030939
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Training Epoch: 1 [15104/46250]	Loss: 1.7591	LR: 0.032044
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Training Epoch: 1 [15616/46250]	Loss: 1.6657	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7256	LR: 0.033702
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Training Epoch: 1 [16384/46250]	Loss: 1.6951	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6785	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.6751	LR: 0.035912
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Training Epoch: 1 [19200/46250]	Loss: 1.7069	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6389	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.6519	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.7182	LR: 0.042541
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Training Epoch: 1 [20480/46250]	Loss: 1.5402	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.5350	LR: 0.044199
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Training Epoch: 1 [22016/46250]	Loss: 1.5888	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.4522	LR: 0.047514
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Training Epoch: 1 [22784/46250]	Loss: 1.6759	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.6068	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.6860	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.5183	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.5636	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5336	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.5778	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.5287	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.5143	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.5945	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.6183	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.4991	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.5150	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.6690	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.4117	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.5319	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.6466	LR: 0.057459
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Training Epoch: 1 [27392/46250]	Loss: 1.5040	LR: 0.058564
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Training Epoch: 1 [27904/46250]	Loss: 1.5602	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.4620	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.4854	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.6426	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.6056	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.4678	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.6015	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.4964	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.7558	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.5358	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.5101	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.4092	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.4655	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.5181	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.4670	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.5410	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.4520	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5085	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.6188	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.4984	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.6083	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.4445	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.4743	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.5534	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.5427	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.4547	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4525	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.5264	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4572	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5000	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4769	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.5320	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4962	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.4890	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.5267	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.4193	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.5578	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.5198	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.5429	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.5020	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.3969	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.6037	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4037	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.4378	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.5716	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.3888	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.6019	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4882	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.4664	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.5254	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.3483	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.4049	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.4085	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.3844	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.4817	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.5634	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.3913	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4441	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.4308	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.4995	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4289	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.5542	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4643	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4038	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.4121	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.2396	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.4463	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4047	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.3654	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4120	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4599	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3824	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.4572	LR: 0.099448
Epoch 1 - Average Train Loss: 1.6812, Train Accuracy: 0.3793
Epoch 1 training time consumed: 26.33s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0096, Accuracy: 0.3575, Time consumed:1.02s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.4301	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.6141	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.3759	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.3485	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.4265	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3626	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4418	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.2624	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3735	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.3723	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.2655	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.3811	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.4072	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.2956	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.2540	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3401	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3173	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.3626	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4051	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.4206	LR: 0.100000
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Training Epoch: 2 [5888/46250]	Loss: 1.3369	LR: 0.100000
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Training Epoch: 2 [8448/46250]	Loss: 1.3698	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.2410	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.1000	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2085, Train Accuracy: 0.5631
Epoch 2 training time consumed: 25.46s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0048, Accuracy: 0.5615, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0177	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.8377	LR: 0.100000
Epoch 3 - Average Train Loss: 1.0032, Train Accuracy: 0.6416
Epoch 3 training time consumed: 25.59s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0041, Accuracy: 0.6439, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8943	LR: 0.100000
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Training Epoch: 4 [5888/46250]	Loss: 0.8915	LR: 0.100000
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Training Epoch: 4 [6400/46250]	Loss: 0.9930	LR: 0.100000
Training Epoch: 4 [6656/46250]	Loss: 0.9607	LR: 0.100000
Training Epoch: 4 [6912/46250]	Loss: 0.9605	LR: 0.100000
Training Epoch: 4 [7168/46250]	Loss: 0.9595	LR: 0.100000
Training Epoch: 4 [7424/46250]	Loss: 0.9774	LR: 0.100000
Training Epoch: 4 [7680/46250]	Loss: 0.8944	LR: 0.100000
Training Epoch: 4 [7936/46250]	Loss: 0.9829	LR: 0.100000
Training Epoch: 4 [8192/46250]	Loss: 0.8656	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 0.9247	LR: 0.100000
Training Epoch: 4 [8704/46250]	Loss: 0.9555	LR: 0.100000
Training Epoch: 4 [8960/46250]	Loss: 0.9378	LR: 0.100000
Training Epoch: 4 [9216/46250]	Loss: 0.8280	LR: 0.100000
Training Epoch: 4 [9472/46250]	Loss: 0.7980	LR: 0.100000
Training Epoch: 4 [9728/46250]	Loss: 0.8770	LR: 0.100000
Training Epoch: 4 [9984/46250]	Loss: 0.9598	LR: 0.100000
Training Epoch: 4 [10240/46250]	Loss: 0.8916	LR: 0.100000
Training Epoch: 4 [10496/46250]	Loss: 0.9819	LR: 0.100000
Training Epoch: 4 [10752/46250]	Loss: 0.9856	LR: 0.100000
Training Epoch: 4 [11008/46250]	Loss: 0.9141	LR: 0.100000
Training Epoch: 4 [11264/46250]	Loss: 0.9795	LR: 0.100000
Training Epoch: 4 [11520/46250]	Loss: 1.0052	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.9152	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.8564	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.8458	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.9057	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 1.0052	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.9518	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.8595	LR: 0.100000
Training Epoch: 4 [13568/46250]	Loss: 0.9045	LR: 0.100000
Training Epoch: 4 [13824/46250]	Loss: 0.9753	LR: 0.100000
Training Epoch: 4 [14080/46250]	Loss: 0.8903	LR: 0.100000
Training Epoch: 4 [14336/46250]	Loss: 0.8369	LR: 0.100000
Training Epoch: 4 [14592/46250]	Loss: 1.0018	LR: 0.100000
Training Epoch: 4 [14848/46250]	Loss: 0.8473	LR: 0.100000
Training Epoch: 4 [15104/46250]	Loss: 0.9146	LR: 0.100000
Training Epoch: 4 [15360/46250]	Loss: 1.0259	LR: 0.100000
Training Epoch: 4 [15616/46250]	Loss: 1.0363	LR: 0.100000
Training Epoch: 4 [15872/46250]	Loss: 0.8476	LR: 0.100000
Training Epoch: 4 [16128/46250]	Loss: 0.8111	LR: 0.100000
Training Epoch: 4 [16384/46250]	Loss: 0.8931	LR: 0.100000
Training Epoch: 4 [16640/46250]	Loss: 0.8683	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.9306	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.8649	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.8839	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.8977	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.8939	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 1.0276	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.8344	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.8657	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.8623	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.7701	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.8595	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.8796	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.8604	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.9302	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.7935	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.9748	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.8725	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.9173	LR: 0.100000
Training Epoch: 4 [21504/46250]	Loss: 0.8316	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.9676	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.8221	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.8073	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.7670	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.8645	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.8864	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 1.0250	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.9670	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.8158	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.8813	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.9812	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.8375	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.8507	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.8959	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.8222	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.9209	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.8831	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.8160	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.9232	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.9347	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.7413	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.8798	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.8702	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.9499	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.8704	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.9230	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.8823	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.8399	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.8648	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.8560	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.8300	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.8654	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.8115	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.8883	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.9687	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.7863	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.9292	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.8110	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.9017	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.7815	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.9048	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.8186	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.8272	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.7905	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.7926	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.7924	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.7889	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.8070	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.8960	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.7789	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.7292	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.8010	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.9203	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.7784	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.8661	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.8021	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.8278	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.8677	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.8595	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.8667	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.9023	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.8786	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 1.0252	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.8259	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.8434	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.7514	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.8062	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.7282	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.8265	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.8906	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.8578	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.9341	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.8973	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.9323	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.7777	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.8264	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.8370	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.8674	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.8612	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.8025	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.7548	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.8739	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.8962	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.7104	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.6653	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.8633	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.6922	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.8909	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.8782	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.7814	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.8704	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.8255	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.9598	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.8676	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.7790	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.9462	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.8423	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8800, Train Accuracy: 0.6887
Epoch 4 training time consumed: 25.56s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0044, Accuracy: 0.6270, Time consumed:0.97s
Training Epoch: 5 [256/46250]	Loss: 0.7878	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.7328	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.7405	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.8916	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.8709	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.9614	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.7684	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.8357	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.7925	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.7718	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.8567	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.7929	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.9348	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.7331	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.8946	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.7085	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.7479	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.6717	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.7671	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.8131	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.8096	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.6792	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.8113	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.7286	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.8232	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.7869	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.7860	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.8024	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.8415	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.7917	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.7960	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.7839	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.8573	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.7438	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.7178	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.8415	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.7042	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.7415	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.9355	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.7802	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.7571	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.6811	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.7853	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.7366	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.7115	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.8509	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.8108	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.7681	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.7215	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.8537	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.7118	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.8346	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.7094	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.7472	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.8709	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.9007	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.7991	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.6653	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.7226	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.7899	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.8213	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.6394	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.7405	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.7722	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.7349	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.8316	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.8813	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.7770	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.8321	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.6824	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.8645	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.6283	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.6049	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.8078	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.7738	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.7921	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.8167	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.8006	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.7059	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.8807	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.8026	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.8141	LR: 0.100000
Training Epoch: 5 [21248/46250]	Loss: 0.8321	LR: 0.100000
Training Epoch: 5 [21504/46250]	Loss: 0.6820	LR: 0.100000
Training Epoch: 5 [21760/46250]	Loss: 0.7954	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.7941	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.9124	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.7970	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.8248	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.8078	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.6686	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.7998	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.7544	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.6850	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.8135	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.8950	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.8146	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.7305	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.7675	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.7667	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.8946	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.7863	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.8309	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.7608	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.8468	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.7366	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.8051	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.7610	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.8439	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.6947	LR: 0.100000
Training Epoch: 5 [28416/46250]	Loss: 0.7868	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.7578	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.7296	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.7524	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.7257	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.7764	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.8101	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.6989	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.7588	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.8595	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.7290	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.6303	LR: 0.100000
Training Epoch: 5 [31488/46250]	Loss: 0.7918	LR: 0.100000
Training Epoch: 5 [31744/46250]	Loss: 0.7693	LR: 0.100000
Training Epoch: 5 [32000/46250]	Loss: 0.8386	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.7910	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.7186	LR: 0.100000
Training Epoch: 5 [32768/46250]	Loss: 0.5956	LR: 0.100000
Training Epoch: 5 [33024/46250]	Loss: 0.7704	LR: 0.100000
Training Epoch: 5 [33280/46250]	Loss: 0.8344	LR: 0.100000
Training Epoch: 5 [33536/46250]	Loss: 0.7045	LR: 0.100000
Training Epoch: 5 [33792/46250]	Loss: 0.6808	LR: 0.100000
Training Epoch: 5 [34048/46250]	Loss: 0.7273	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.8348	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.8220	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.8052	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.7167	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.7941	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.7572	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.7020	LR: 0.100000
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Training Epoch: 5 [46250/46250]	Loss: 0.9194	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7766, Train Accuracy: 0.7284
Epoch 5 training time consumed: 25.58s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0038, Accuracy: 0.6914, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6641	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.6817	LR: 0.100000
Epoch 6 - Average Train Loss: 0.7038, Train Accuracy: 0.7544
Epoch 6 training time consumed: 25.49s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0038, Accuracy: 0.6883, Time consumed:0.96s
Training Epoch: 7 [256/46250]	Loss: 0.6208	LR: 0.100000
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Training Epoch: 7 [46080/46250]	Loss: 0.7299	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.5633	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6460, Train Accuracy: 0.7779
Epoch 7 training time consumed: 25.81s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0029, Accuracy: 0.7494, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.6118	LR: 0.020000
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Training Epoch: 8 [42496/46250]	Loss: 0.4934	LR: 0.020000
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Training Epoch: 8 [43264/46250]	Loss: 0.4633	LR: 0.020000
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Training Epoch: 8 [43776/46250]	Loss: 0.4954	LR: 0.020000
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Training Epoch: 8 [44288/46250]	Loss: 0.5079	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.4225	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.5588	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.4793	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.5798	LR: 0.020000
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Training Epoch: 8 [45824/46250]	Loss: 0.4566	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.5515	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.4280	LR: 0.020000
Epoch 8 - Average Train Loss: 0.5068, Train Accuracy: 0.8249
Epoch 8 training time consumed: 25.56s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8372, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.5254	LR: 0.020000
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Training Epoch: 9 [46250/46250]	Loss: 0.5162	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4572, Train Accuracy: 0.8437
Epoch 9 training time consumed: 25.57s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0019, Accuracy: 0.8336, Time consumed:0.94s
Training Epoch: 10 [256/46250]	Loss: 0.3264	LR: 0.020000
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Training Epoch: 10 [26112/46250]	Loss: 0.3800	LR: 0.020000
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Training Epoch: 10 [44288/46250]	Loss: 0.3942	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.3975	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.3823	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4381, Train Accuracy: 0.8492
Epoch 10 training time consumed: 25.74s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0019, Accuracy: 0.8364, Time consumed:0.94s
Training Epoch: 11 [256/46250]	Loss: 0.3862	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.3777	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.3969	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.5528	LR: 0.020000
Training Epoch: 11 [1280/46250]	Loss: 0.4680	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.4429	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.5023	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4233, Train Accuracy: 0.8538
Epoch 11 training time consumed: 25.51s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8458, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-11-best.pth
Training Epoch: 12 [256/46250]	Loss: 0.4602	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3467	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3507	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3159	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.4470	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3816	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3895	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3920	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3607	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.4004	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3791	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.3682	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.4225	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3141	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3697	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.3856	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.4688	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.4279	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.4230	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.3881	LR: 0.004000
Training Epoch: 12 [5376/46250]	Loss: 0.3317	LR: 0.004000
Training Epoch: 12 [5632/46250]	Loss: 0.4105	LR: 0.004000
Training Epoch: 12 [5888/46250]	Loss: 0.3737	LR: 0.004000
Training Epoch: 12 [6144/46250]	Loss: 0.3608	LR: 0.004000
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Training Epoch: 12 [45824/46250]	Loss: 0.4152	LR: 0.004000
Training Epoch: 12 [46080/46250]	Loss: 0.4614	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3515	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3729, Train Accuracy: 0.8720
Epoch 12 training time consumed: 25.65s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0016, Accuracy: 0.8648, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3322	LR: 0.004000
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Training Epoch: 13 [42240/46250]	Loss: 0.4074	LR: 0.004000
Training Epoch: 13 [42496/46250]	Loss: 0.3678	LR: 0.004000
Training Epoch: 13 [42752/46250]	Loss: 0.2998	LR: 0.004000
Training Epoch: 13 [43008/46250]	Loss: 0.3519	LR: 0.004000
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Training Epoch: 13 [43520/46250]	Loss: 0.3089	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3583	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3902	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3248	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3365	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3847	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3370	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2986	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.4368	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.3607	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3298	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3486	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3592, Train Accuracy: 0.8772
Epoch 13 training time consumed: 25.59s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0016, Accuracy: 0.8650, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3001	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.3102	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.3770	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.3544	LR: 0.004000
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Training Epoch: 14 [44288/46250]	Loss: 0.3114	LR: 0.004000
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Training Epoch: 14 [44800/46250]	Loss: 0.3714	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.3629	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.3270	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.3283	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3523, Train Accuracy: 0.8794
Epoch 14 training time consumed: 25.53s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0016, Accuracy: 0.8661, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.2361	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.3198	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.3437	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.3130	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.2568	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.3523	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3454, Train Accuracy: 0.8837
Epoch 15 training time consumed: 25.60s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8684, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.2381	LR: 0.000800
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Training Epoch: 16 [38912/46250]	Loss: 0.2845	LR: 0.000800
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Training Epoch: 16 [42240/46250]	Loss: 0.2996	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.2311	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.3769	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.3895	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.3138	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.3304	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.3253	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2716	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.3423	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.3371	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3625	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.3205	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.3247	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.3053	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3412	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2938	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3315, Train Accuracy: 0.8872
Epoch 16 training time consumed: 25.69s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8714, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.3387	LR: 0.000800
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Training Epoch: 17 [768/46250]	Loss: 0.2710	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.2601	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.3400	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.3308	LR: 0.000800
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Training Epoch: 17 [2048/46250]	Loss: 0.4240	LR: 0.000800
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Training Epoch: 17 [42496/46250]	Loss: 0.2916	LR: 0.000800
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Training Epoch: 17 [43520/46250]	Loss: 0.2901	LR: 0.000800
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Training Epoch: 17 [44288/46250]	Loss: 0.3240	LR: 0.000800
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Training Epoch: 17 [44800/46250]	Loss: 0.3250	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3767	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.3322	LR: 0.000800
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Training Epoch: 17 [45824/46250]	Loss: 0.3451	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.3377	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3027	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3295, Train Accuracy: 0.8874
Epoch 17 training time consumed: 25.57s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8726, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.3093	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.3444	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.2453	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.3138	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.3101	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.3281	LR: 0.000800
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Training Epoch: 18 [2048/46250]	Loss: 0.2483	LR: 0.000800
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Training Epoch: 18 [40448/46250]	Loss: 0.2432	LR: 0.000800
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Training Epoch: 18 [41472/46250]	Loss: 0.3726	LR: 0.000800
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Training Epoch: 18 [43008/46250]	Loss: 0.3593	LR: 0.000800
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Training Epoch: 18 [43520/46250]	Loss: 0.3672	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.3293	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.3046	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3279	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.3803	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.3287	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3441	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.3579	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.3291	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.3564	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.3539	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.4148	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3288, Train Accuracy: 0.8878
Epoch 18 training time consumed: 25.70s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8730, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.3154	LR: 0.000800
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Training Epoch: 19 [1536/46250]	Loss: 0.2941	LR: 0.000800
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Training Epoch: 19 [24576/46250]	Loss: 0.3744	LR: 0.000800
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Training Epoch: 19 [45056/46250]	Loss: 0.3027	LR: 0.000800
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Training Epoch: 19 [45568/46250]	Loss: 0.3373	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.3438	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3321	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3244, Train Accuracy: 0.8897
Epoch 19 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0015, Accuracy: 0.8737, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_23m_11s/AllCNN-Cifar10-seed8-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.3241	LR: 0.000800
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Training Epoch: 20 [45824/46250]	Loss: 0.3538	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.3708	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3033	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3236, Train Accuracy: 0.8889
Epoch 20 training time consumed: 25.51s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0015, Accuracy: 0.8725, Time consumed:0.88s
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: 87.40234375
Retain Accuracy: 89.31903839111328
Zero-Retain Forget (ZRF): 0.8572006225585938
Membership Inference Attack (MIA): 0.4322666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.5073333333333333
Forget vs Test Membership Inference Attack (MIA): 0.5586666666666666
Test vs Retain Membership Inference Attack (MIA): 0.4955
Train vs Test Membership Inference Attack (MIA): 0.518
Forget Set Accuracy (Df): 85.57699584960938
Method Execution Time: 1031.53 seconds
