hello
hello

📌 Retain class distribution for seed 3:
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 3:
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: 2.3367	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3345	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3483	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3378	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3279	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2872	LR: 0.002762
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Training Epoch: 1 [2048/46250]	Loss: 2.2796	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2814	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2440	LR: 0.004972
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Training Epoch: 1 [3072/46250]	Loss: 2.1850	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1977	LR: 0.006630
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Training Epoch: 1 [3840/46250]	Loss: 2.1350	LR: 0.007735
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Training Epoch: 1 [8448/46250]	Loss: 1.8517	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 1.8702	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8025	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.8811	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.8537	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.8308	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8387	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.8361	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8457	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7547	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.7292	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7202	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.6594	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.8304	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7344	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.7615	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7503	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.8227	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.9176	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7314	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7108	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.6486	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.7762	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7045	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7991	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.6263	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.6969	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.7094	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.6520	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.7388	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.6707	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.6266	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.6633	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.7684	LR: 0.036464
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Training Epoch: 1 [18944/46250]	Loss: 1.6124	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.6593	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6630	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.5405	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.5458	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.6264	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6480	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.5975	LR: 0.044199
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Training Epoch: 1 [21760/46250]	Loss: 1.6112	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.5510	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.5230	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.5458	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.4930	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.5528	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.4813	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.5339	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.6501	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5357	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.4649	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.4377	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.5856	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.4586	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.6226	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.5522	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.5108	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.4797	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.4502	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.4999	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.4514	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.4877	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5885	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.3853	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.5404	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.4624	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.5015	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.4424	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.4707	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.5551	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.5124	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.5238	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.4667	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.4589	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.4269	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.4472	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.4860	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.3968	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.2966	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.4072	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.4591	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5503	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5078	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.4688	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.3489	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.6271	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.4223	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4150	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.2990	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.4891	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4888	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.4155	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4088	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5636	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4598	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.4345	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4260	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.3933	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4436	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.3447	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.3456	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.4312	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.4459	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.4441	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.3922	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.4491	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4341	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.3822	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.3935	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.4324	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.4037	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.3320	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.4278	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.4457	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.4468	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.4399	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.4273	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.3767	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.3441	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.5206	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.4593	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.3386	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.4860	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.4047	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.4018	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.5230	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.5108	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.3512	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.3144	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.3437	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.4468	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.5029	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.1883	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4850	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.2767	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.3642	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.2175	LR: 0.099448
Epoch 1 - Average Train Loss: 1.6496, Train Accuracy: 0.3899
Epoch 1 training time consumed: 26.49s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0090, Accuracy: 0.3539, Time consumed:1.08s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.3240	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.3277	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.5469	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.5223	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.4068	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3965	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.3391	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.1853	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3645	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.2761	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.3378	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.1378	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3593	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.3674	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.2371	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3505	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3092	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.3576	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.3239	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3385	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.2342	LR: 0.100000
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Training Epoch: 2 [5888/46250]	Loss: 1.2385	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.2400	LR: 0.100000
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Training Epoch: 2 [6656/46250]	Loss: 1.2678	LR: 0.100000
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Training Epoch: 2 [7168/46250]	Loss: 1.2714	LR: 0.100000
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Training Epoch: 2 [7936/46250]	Loss: 1.4402	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.3229	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.3454	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.2816	LR: 0.100000
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Training Epoch: 2 [9216/46250]	Loss: 1.2771	LR: 0.100000
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Training Epoch: 2 [10496/46250]	Loss: 1.3570	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.0958	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 0.9972	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1826, Train Accuracy: 0.5741
Epoch 2 training time consumed: 25.67s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0049, Accuracy: 0.5728, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.1342	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.8346	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9828, Train Accuracy: 0.6502
Epoch 3 training time consumed: 25.74s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0050, Accuracy: 0.5805, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8684	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.7590	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8608, Train Accuracy: 0.6970
Epoch 4 training time consumed: 25.85s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0042, Accuracy: 0.6390, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.7581	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7582, Train Accuracy: 0.7365
Epoch 5 training time consumed: 25.81s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0032, Accuracy: 0.7262, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6166	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.6843	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6988, Train Accuracy: 0.7534
Epoch 6 training time consumed: 25.77s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7625, Time consumed:1.05s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.6110	LR: 0.100000
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Training Epoch: 7 [17408/46250]	Loss: 0.6284	LR: 0.100000
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Training Epoch: 7 [17920/46250]	Loss: 0.5981	LR: 0.100000
Training Epoch: 7 [18176/46250]	Loss: 0.7177	LR: 0.100000
Training Epoch: 7 [18432/46250]	Loss: 0.7364	LR: 0.100000
Training Epoch: 7 [18688/46250]	Loss: 0.7220	LR: 0.100000
Training Epoch: 7 [18944/46250]	Loss: 0.6393	LR: 0.100000
Training Epoch: 7 [19200/46250]	Loss: 0.6774	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.5731	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.6201	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.6516	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.5887	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.6616	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.7324	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.5311	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.6148	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.6514	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.5930	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.6844	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.5688	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.6275	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.6246	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.5895	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.6769	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.6614	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.6846	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.5384	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.6992	LR: 0.100000
Training Epoch: 7 [24576/46250]	Loss: 0.6284	LR: 0.100000
Training Epoch: 7 [24832/46250]	Loss: 0.6773	LR: 0.100000
Training Epoch: 7 [25088/46250]	Loss: 0.5955	LR: 0.100000
Training Epoch: 7 [25344/46250]	Loss: 0.6909	LR: 0.100000
Training Epoch: 7 [25600/46250]	Loss: 0.5876	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.6122	LR: 0.100000
Training Epoch: 7 [26112/46250]	Loss: 0.6180	LR: 0.100000
Training Epoch: 7 [26368/46250]	Loss: 0.5875	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.6861	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.6946	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.6273	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.6085	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.7603	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.6600	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.6270	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.5703	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.6135	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.5464	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.6347	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.7092	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.5978	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.7217	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.6864	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.6732	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.7353	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.5974	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.6977	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.5891	LR: 0.100000
Training Epoch: 7 [31744/46250]	Loss: 0.6842	LR: 0.100000
Training Epoch: 7 [32000/46250]	Loss: 0.6102	LR: 0.100000
Training Epoch: 7 [32256/46250]	Loss: 0.6831	LR: 0.100000
Training Epoch: 7 [32512/46250]	Loss: 0.6943	LR: 0.100000
Training Epoch: 7 [32768/46250]	Loss: 0.7120	LR: 0.100000
Training Epoch: 7 [33024/46250]	Loss: 0.6351	LR: 0.100000
Training Epoch: 7 [33280/46250]	Loss: 0.5836	LR: 0.100000
Training Epoch: 7 [33536/46250]	Loss: 0.5487	LR: 0.100000
Training Epoch: 7 [33792/46250]	Loss: 0.6537	LR: 0.100000
Training Epoch: 7 [34048/46250]	Loss: 0.8129	LR: 0.100000
Training Epoch: 7 [34304/46250]	Loss: 0.6983	LR: 0.100000
Training Epoch: 7 [34560/46250]	Loss: 0.6700	LR: 0.100000
Training Epoch: 7 [34816/46250]	Loss: 0.6304	LR: 0.100000
Training Epoch: 7 [35072/46250]	Loss: 0.5914	LR: 0.100000
Training Epoch: 7 [35328/46250]	Loss: 0.6850	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.6383	LR: 0.100000
Training Epoch: 7 [35840/46250]	Loss: 0.6532	LR: 0.100000
Training Epoch: 7 [36096/46250]	Loss: 0.6379	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.6876	LR: 0.100000
Training Epoch: 7 [36608/46250]	Loss: 0.5618	LR: 0.100000
Training Epoch: 7 [36864/46250]	Loss: 0.5931	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.6888	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.6160	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.7355	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.6717	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.7226	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.6176	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.6208	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.5795	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.5595	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.6817	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.6623	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.7588	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.5599	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.5719	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.6836	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.4930	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.6363	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.7156	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.5687	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.6442	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.5317	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.6357	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.7218	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.6923	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.6012	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.7361	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.7112	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.6164	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.6903	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.6891	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.6956	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.7500	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.6566	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.4969	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.6060	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.6610	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.6720	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6490, Train Accuracy: 0.7722
Epoch 7 training time consumed: 25.74s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0034, Accuracy: 0.7214, Time consumed:1.01s
Training Epoch: 8 [256/46250]	Loss: 0.5727	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.5983	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.7104	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.6752	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.5790	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.6054	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.5939	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.5561	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.6896	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.6230	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.5678	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.5185	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.6578	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.5610	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.4254	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.4698	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.5967	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.4576	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.5810	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.5651	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.4959	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.5188	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.5587	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.5438	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.6133	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.5484	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.5071	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.5343	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.7193	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.5838	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.5364	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.5484	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.5477	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.5802	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.4874	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.4975	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.5420	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.5322	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.4778	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.5384	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.4275	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.5027	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.4998	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.5213	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.5184	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.5795	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.5244	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.4321	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.5684	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.4663	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.4985	LR: 0.020000
Training Epoch: 8 [13312/46250]	Loss: 0.4797	LR: 0.020000
Training Epoch: 8 [13568/46250]	Loss: 0.5657	LR: 0.020000
Training Epoch: 8 [13824/46250]	Loss: 0.4960	LR: 0.020000
Training Epoch: 8 [14080/46250]	Loss: 0.6120	LR: 0.020000
Training Epoch: 8 [14336/46250]	Loss: 0.5068	LR: 0.020000
Training Epoch: 8 [14592/46250]	Loss: 0.4872	LR: 0.020000
Training Epoch: 8 [14848/46250]	Loss: 0.4740	LR: 0.020000
Training Epoch: 8 [15104/46250]	Loss: 0.5695	LR: 0.020000
Training Epoch: 8 [15360/46250]	Loss: 0.6288	LR: 0.020000
Training Epoch: 8 [15616/46250]	Loss: 0.5751	LR: 0.020000
Training Epoch: 8 [15872/46250]	Loss: 0.5389	LR: 0.020000
Training Epoch: 8 [16128/46250]	Loss: 0.4217	LR: 0.020000
Training Epoch: 8 [16384/46250]	Loss: 0.4456	LR: 0.020000
Training Epoch: 8 [16640/46250]	Loss: 0.5124	LR: 0.020000
Training Epoch: 8 [16896/46250]	Loss: 0.4805	LR: 0.020000
Training Epoch: 8 [17152/46250]	Loss: 0.4848	LR: 0.020000
Training Epoch: 8 [17408/46250]	Loss: 0.6820	LR: 0.020000
Training Epoch: 8 [17664/46250]	Loss: 0.4112	LR: 0.020000
Training Epoch: 8 [17920/46250]	Loss: 0.5374	LR: 0.020000
Training Epoch: 8 [18176/46250]	Loss: 0.4859	LR: 0.020000
Training Epoch: 8 [18432/46250]	Loss: 0.5012	LR: 0.020000
Training Epoch: 8 [18688/46250]	Loss: 0.5152	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.5410	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.4714	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.4914	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.5713	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.4243	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.5268	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.4281	LR: 0.020000
Training Epoch: 8 [20736/46250]	Loss: 0.4322	LR: 0.020000
Training Epoch: 8 [20992/46250]	Loss: 0.4719	LR: 0.020000
Training Epoch: 8 [21248/46250]	Loss: 0.4382	LR: 0.020000
Training Epoch: 8 [21504/46250]	Loss: 0.5722	LR: 0.020000
Training Epoch: 8 [21760/46250]	Loss: 0.4271	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.5791	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.4568	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.4708	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.5301	LR: 0.020000
Training Epoch: 8 [23040/46250]	Loss: 0.4755	LR: 0.020000
Training Epoch: 8 [23296/46250]	Loss: 0.4137	LR: 0.020000
Training Epoch: 8 [23552/46250]	Loss: 0.4054	LR: 0.020000
Training Epoch: 8 [23808/46250]	Loss: 0.5215	LR: 0.020000
Training Epoch: 8 [24064/46250]	Loss: 0.4910	LR: 0.020000
Training Epoch: 8 [24320/46250]	Loss: 0.5036	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.4556	LR: 0.020000
Training Epoch: 8 [24832/46250]	Loss: 0.6394	LR: 0.020000
Training Epoch: 8 [25088/46250]	Loss: 0.4252	LR: 0.020000
Training Epoch: 8 [25344/46250]	Loss: 0.5025	LR: 0.020000
Training Epoch: 8 [25600/46250]	Loss: 0.4551	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.4361	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.4461	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.5458	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.4692	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.4417	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.4790	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.5107	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.5112	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.4606	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.4351	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.4632	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.4403	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.5340	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.4975	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.4045	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.4911	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.5254	LR: 0.020000
Training Epoch: 8 [30208/46250]	Loss: 0.4429	LR: 0.020000
Training Epoch: 8 [30464/46250]	Loss: 0.5255	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.5343	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.5485	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.4606	LR: 0.020000
Training Epoch: 8 [31488/46250]	Loss: 0.5124	LR: 0.020000
Training Epoch: 8 [31744/46250]	Loss: 0.4102	LR: 0.020000
Training Epoch: 8 [32000/46250]	Loss: 0.4496	LR: 0.020000
Training Epoch: 8 [32256/46250]	Loss: 0.4749	LR: 0.020000
Training Epoch: 8 [32512/46250]	Loss: 0.4574	LR: 0.020000
Training Epoch: 8 [32768/46250]	Loss: 0.4693	LR: 0.020000
Training Epoch: 8 [33024/46250]	Loss: 0.5428	LR: 0.020000
Training Epoch: 8 [33280/46250]	Loss: 0.4410	LR: 0.020000
Training Epoch: 8 [33536/46250]	Loss: 0.4826	LR: 0.020000
Training Epoch: 8 [33792/46250]	Loss: 0.4949	LR: 0.020000
Training Epoch: 8 [34048/46250]	Loss: 0.5344	LR: 0.020000
Training Epoch: 8 [34304/46250]	Loss: 0.5626	LR: 0.020000
Training Epoch: 8 [34560/46250]	Loss: 0.3614	LR: 0.020000
Training Epoch: 8 [34816/46250]	Loss: 0.4541	LR: 0.020000
Training Epoch: 8 [35072/46250]	Loss: 0.5456	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.3945	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.4493	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.4223	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.4791	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.4988	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.5126	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.3951	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.5327	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.4446	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.4474	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.4447	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.5447	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.5336	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.5495	LR: 0.020000
Training Epoch: 8 [38912/46250]	Loss: 0.4084	LR: 0.020000
Training Epoch: 8 [39168/46250]	Loss: 0.5126	LR: 0.020000
Training Epoch: 8 [39424/46250]	Loss: 0.4961	LR: 0.020000
Training Epoch: 8 [39680/46250]	Loss: 0.5581	LR: 0.020000
Training Epoch: 8 [39936/46250]	Loss: 0.5084	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.4899	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.4274	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.3932	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.5478	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.4429	LR: 0.020000
Training Epoch: 8 [41472/46250]	Loss: 0.4067	LR: 0.020000
Training Epoch: 8 [41728/46250]	Loss: 0.3843	LR: 0.020000
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Training Epoch: 8 [43264/46250]	Loss: 0.4810	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.4666	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.4525	LR: 0.020000
Training Epoch: 8 [44032/46250]	Loss: 0.4497	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.5098	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.4098	LR: 0.020000
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Training Epoch: 8 [45056/46250]	Loss: 0.5579	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.4154	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.4587	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.4649	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.3991	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.4347	LR: 0.020000
Epoch 8 - Average Train Loss: 0.5010, Train Accuracy: 0.8275
Epoch 8 training time consumed: 25.76s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8376, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4412	LR: 0.020000
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Training Epoch: 9 [768/46250]	Loss: 0.4262	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4250	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.4506	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4591, Train Accuracy: 0.8403
Epoch 9 training time consumed: 25.67s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8444, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.5248	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.3670	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.4268	LR: 0.020000
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Training Epoch: 10 [25088/46250]	Loss: 0.4450	LR: 0.020000
Training Epoch: 10 [25344/46250]	Loss: 0.3522	LR: 0.020000
Training Epoch: 10 [25600/46250]	Loss: 0.4324	LR: 0.020000
Training Epoch: 10 [25856/46250]	Loss: 0.3984	LR: 0.020000
Training Epoch: 10 [26112/46250]	Loss: 0.3937	LR: 0.020000
Training Epoch: 10 [26368/46250]	Loss: 0.3825	LR: 0.020000
Training Epoch: 10 [26624/46250]	Loss: 0.4763	LR: 0.020000
Training Epoch: 10 [26880/46250]	Loss: 0.3075	LR: 0.020000
Training Epoch: 10 [27136/46250]	Loss: 0.4165	LR: 0.020000
Training Epoch: 10 [27392/46250]	Loss: 0.4305	LR: 0.020000
Training Epoch: 10 [27648/46250]	Loss: 0.4987	LR: 0.020000
Training Epoch: 10 [27904/46250]	Loss: 0.3589	LR: 0.020000
Training Epoch: 10 [28160/46250]	Loss: 0.4955	LR: 0.020000
Training Epoch: 10 [28416/46250]	Loss: 0.4568	LR: 0.020000
Training Epoch: 10 [28672/46250]	Loss: 0.4376	LR: 0.020000
Training Epoch: 10 [28928/46250]	Loss: 0.3973	LR: 0.020000
Training Epoch: 10 [29184/46250]	Loss: 0.4679	LR: 0.020000
Training Epoch: 10 [29440/46250]	Loss: 0.4559	LR: 0.020000
Training Epoch: 10 [29696/46250]	Loss: 0.4740	LR: 0.020000
Training Epoch: 10 [29952/46250]	Loss: 0.4530	LR: 0.020000
Training Epoch: 10 [30208/46250]	Loss: 0.4537	LR: 0.020000
Training Epoch: 10 [30464/46250]	Loss: 0.4255	LR: 0.020000
Training Epoch: 10 [30720/46250]	Loss: 0.5035	LR: 0.020000
Training Epoch: 10 [30976/46250]	Loss: 0.4288	LR: 0.020000
Training Epoch: 10 [31232/46250]	Loss: 0.4584	LR: 0.020000
Training Epoch: 10 [31488/46250]	Loss: 0.4001	LR: 0.020000
Training Epoch: 10 [31744/46250]	Loss: 0.5021	LR: 0.020000
Training Epoch: 10 [32000/46250]	Loss: 0.4996	LR: 0.020000
Training Epoch: 10 [32256/46250]	Loss: 0.4233	LR: 0.020000
Training Epoch: 10 [32512/46250]	Loss: 0.5280	LR: 0.020000
Training Epoch: 10 [32768/46250]	Loss: 0.4021	LR: 0.020000
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Training Epoch: 10 [34048/46250]	Loss: 0.4344	LR: 0.020000
Training Epoch: 10 [34304/46250]	Loss: 0.3854	LR: 0.020000
Training Epoch: 10 [34560/46250]	Loss: 0.5198	LR: 0.020000
Training Epoch: 10 [34816/46250]	Loss: 0.3598	LR: 0.020000
Training Epoch: 10 [35072/46250]	Loss: 0.4721	LR: 0.020000
Training Epoch: 10 [35328/46250]	Loss: 0.4445	LR: 0.020000
Training Epoch: 10 [35584/46250]	Loss: 0.4956	LR: 0.020000
Training Epoch: 10 [35840/46250]	Loss: 0.4536	LR: 0.020000
Training Epoch: 10 [36096/46250]	Loss: 0.4188	LR: 0.020000
Training Epoch: 10 [36352/46250]	Loss: 0.4240	LR: 0.020000
Training Epoch: 10 [36608/46250]	Loss: 0.4734	LR: 0.020000
Training Epoch: 10 [36864/46250]	Loss: 0.4701	LR: 0.020000
Training Epoch: 10 [37120/46250]	Loss: 0.3900	LR: 0.020000
Training Epoch: 10 [37376/46250]	Loss: 0.4459	LR: 0.020000
Training Epoch: 10 [37632/46250]	Loss: 0.3967	LR: 0.020000
Training Epoch: 10 [37888/46250]	Loss: 0.4254	LR: 0.020000
Training Epoch: 10 [38144/46250]	Loss: 0.4091	LR: 0.020000
Training Epoch: 10 [38400/46250]	Loss: 0.4086	LR: 0.020000
Training Epoch: 10 [38656/46250]	Loss: 0.3883	LR: 0.020000
Training Epoch: 10 [38912/46250]	Loss: 0.3935	LR: 0.020000
Training Epoch: 10 [39168/46250]	Loss: 0.4913	LR: 0.020000
Training Epoch: 10 [39424/46250]	Loss: 0.3778	LR: 0.020000
Training Epoch: 10 [39680/46250]	Loss: 0.3499	LR: 0.020000
Training Epoch: 10 [39936/46250]	Loss: 0.3975	LR: 0.020000
Training Epoch: 10 [40192/46250]	Loss: 0.4789	LR: 0.020000
Training Epoch: 10 [40448/46250]	Loss: 0.3450	LR: 0.020000
Training Epoch: 10 [40704/46250]	Loss: 0.5114	LR: 0.020000
Training Epoch: 10 [40960/46250]	Loss: 0.4870	LR: 0.020000
Training Epoch: 10 [41216/46250]	Loss: 0.5405	LR: 0.020000
Training Epoch: 10 [41472/46250]	Loss: 0.4145	LR: 0.020000
Training Epoch: 10 [41728/46250]	Loss: 0.4669	LR: 0.020000
Training Epoch: 10 [41984/46250]	Loss: 0.5216	LR: 0.020000
Training Epoch: 10 [42240/46250]	Loss: 0.4520	LR: 0.020000
Training Epoch: 10 [42496/46250]	Loss: 0.4620	LR: 0.020000
Training Epoch: 10 [42752/46250]	Loss: 0.5582	LR: 0.020000
Training Epoch: 10 [43008/46250]	Loss: 0.4393	LR: 0.020000
Training Epoch: 10 [43264/46250]	Loss: 0.4106	LR: 0.020000
Training Epoch: 10 [43520/46250]	Loss: 0.4417	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.4420	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.4185	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.3422	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.5502	LR: 0.020000
Training Epoch: 10 [44800/46250]	Loss: 0.4461	LR: 0.020000
Training Epoch: 10 [45056/46250]	Loss: 0.4825	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.4284	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.4680	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.4195	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3713	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.4178	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4333, Train Accuracy: 0.8512
Epoch 10 training time consumed: 25.68s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0019, Accuracy: 0.8413, Time consumed:0.94s
Training Epoch: 11 [256/46250]	Loss: 0.4543	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.4541	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.4462	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.3749	LR: 0.020000
Training Epoch: 11 [1280/46250]	Loss: 0.3926	LR: 0.020000
Training Epoch: 11 [1536/46250]	Loss: 0.4427	LR: 0.020000
Training Epoch: 11 [1792/46250]	Loss: 0.3199	LR: 0.020000
Training Epoch: 11 [2048/46250]	Loss: 0.5117	LR: 0.020000
Training Epoch: 11 [2304/46250]	Loss: 0.3974	LR: 0.020000
Training Epoch: 11 [2560/46250]	Loss: 0.3941	LR: 0.020000
Training Epoch: 11 [2816/46250]	Loss: 0.3058	LR: 0.020000
Training Epoch: 11 [3072/46250]	Loss: 0.4592	LR: 0.020000
Training Epoch: 11 [3328/46250]	Loss: 0.4557	LR: 0.020000
Training Epoch: 11 [3584/46250]	Loss: 0.4434	LR: 0.020000
Training Epoch: 11 [3840/46250]	Loss: 0.3645	LR: 0.020000
Training Epoch: 11 [4096/46250]	Loss: 0.5121	LR: 0.020000
Training Epoch: 11 [4352/46250]	Loss: 0.3715	LR: 0.020000
Training Epoch: 11 [4608/46250]	Loss: 0.4599	LR: 0.020000
Training Epoch: 11 [4864/46250]	Loss: 0.4504	LR: 0.020000
Training Epoch: 11 [5120/46250]	Loss: 0.4603	LR: 0.020000
Training Epoch: 11 [5376/46250]	Loss: 0.4751	LR: 0.020000
Training Epoch: 11 [5632/46250]	Loss: 0.4123	LR: 0.020000
Training Epoch: 11 [5888/46250]	Loss: 0.4035	LR: 0.020000
Training Epoch: 11 [6144/46250]	Loss: 0.4216	LR: 0.020000
Training Epoch: 11 [6400/46250]	Loss: 0.3815	LR: 0.020000
Training Epoch: 11 [6656/46250]	Loss: 0.5030	LR: 0.020000
Training Epoch: 11 [6912/46250]	Loss: 0.3727	LR: 0.020000
Training Epoch: 11 [7168/46250]	Loss: 0.4068	LR: 0.020000
Training Epoch: 11 [7424/46250]	Loss: 0.3445	LR: 0.020000
Training Epoch: 11 [7680/46250]	Loss: 0.4164	LR: 0.020000
Training Epoch: 11 [7936/46250]	Loss: 0.3395	LR: 0.020000
Training Epoch: 11 [8192/46250]	Loss: 0.5143	LR: 0.020000
Training Epoch: 11 [8448/46250]	Loss: 0.3206	LR: 0.020000
Training Epoch: 11 [8704/46250]	Loss: 0.3845	LR: 0.020000
Training Epoch: 11 [8960/46250]	Loss: 0.4523	LR: 0.020000
Training Epoch: 11 [9216/46250]	Loss: 0.3236	LR: 0.020000
Training Epoch: 11 [9472/46250]	Loss: 0.4273	LR: 0.020000
Training Epoch: 11 [9728/46250]	Loss: 0.4333	LR: 0.020000
Training Epoch: 11 [9984/46250]	Loss: 0.5101	LR: 0.020000
Training Epoch: 11 [10240/46250]	Loss: 0.4032	LR: 0.020000
Training Epoch: 11 [10496/46250]	Loss: 0.4433	LR: 0.020000
Training Epoch: 11 [10752/46250]	Loss: 0.3842	LR: 0.020000
Training Epoch: 11 [11008/46250]	Loss: 0.3574	LR: 0.020000
Training Epoch: 11 [11264/46250]	Loss: 0.3821	LR: 0.020000
Training Epoch: 11 [11520/46250]	Loss: 0.4102	LR: 0.020000
Training Epoch: 11 [11776/46250]	Loss: 0.4055	LR: 0.020000
Training Epoch: 11 [12032/46250]	Loss: 0.4523	LR: 0.020000
Training Epoch: 11 [12288/46250]	Loss: 0.4231	LR: 0.020000
Training Epoch: 11 [12544/46250]	Loss: 0.3759	LR: 0.020000
Training Epoch: 11 [12800/46250]	Loss: 0.3620	LR: 0.020000
Training Epoch: 11 [13056/46250]	Loss: 0.4014	LR: 0.020000
Training Epoch: 11 [13312/46250]	Loss: 0.5201	LR: 0.020000
Training Epoch: 11 [13568/46250]	Loss: 0.2687	LR: 0.020000
Training Epoch: 11 [13824/46250]	Loss: 0.4291	LR: 0.020000
Training Epoch: 11 [14080/46250]	Loss: 0.4486	LR: 0.020000
Training Epoch: 11 [14336/46250]	Loss: 0.4489	LR: 0.020000
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Training Epoch: 11 [14848/46250]	Loss: 0.3956	LR: 0.020000
Training Epoch: 11 [15104/46250]	Loss: 0.4003	LR: 0.020000
Training Epoch: 11 [15360/46250]	Loss: 0.4237	LR: 0.020000
Training Epoch: 11 [15616/46250]	Loss: 0.4932	LR: 0.020000
Training Epoch: 11 [15872/46250]	Loss: 0.4040	LR: 0.020000
Training Epoch: 11 [16128/46250]	Loss: 0.4024	LR: 0.020000
Training Epoch: 11 [16384/46250]	Loss: 0.5009	LR: 0.020000
Training Epoch: 11 [16640/46250]	Loss: 0.3713	LR: 0.020000
Training Epoch: 11 [16896/46250]	Loss: 0.3591	LR: 0.020000
Training Epoch: 11 [17152/46250]	Loss: 0.4077	LR: 0.020000
Training Epoch: 11 [17408/46250]	Loss: 0.4787	LR: 0.020000
Training Epoch: 11 [17664/46250]	Loss: 0.3828	LR: 0.020000
Training Epoch: 11 [17920/46250]	Loss: 0.3350	LR: 0.020000
Training Epoch: 11 [18176/46250]	Loss: 0.4565	LR: 0.020000
Training Epoch: 11 [18432/46250]	Loss: 0.4730	LR: 0.020000
Training Epoch: 11 [18688/46250]	Loss: 0.3556	LR: 0.020000
Training Epoch: 11 [18944/46250]	Loss: 0.4171	LR: 0.020000
Training Epoch: 11 [19200/46250]	Loss: 0.4023	LR: 0.020000
Training Epoch: 11 [19456/46250]	Loss: 0.3667	LR: 0.020000
Training Epoch: 11 [19712/46250]	Loss: 0.4093	LR: 0.020000
Training Epoch: 11 [19968/46250]	Loss: 0.3534	LR: 0.020000
Training Epoch: 11 [20224/46250]	Loss: 0.2893	LR: 0.020000
Training Epoch: 11 [20480/46250]	Loss: 0.4685	LR: 0.020000
Training Epoch: 11 [20736/46250]	Loss: 0.4119	LR: 0.020000
Training Epoch: 11 [20992/46250]	Loss: 0.4048	LR: 0.020000
Training Epoch: 11 [21248/46250]	Loss: 0.3908	LR: 0.020000
Training Epoch: 11 [21504/46250]	Loss: 0.5092	LR: 0.020000
Training Epoch: 11 [21760/46250]	Loss: 0.3947	LR: 0.020000
Training Epoch: 11 [22016/46250]	Loss: 0.3760	LR: 0.020000
Training Epoch: 11 [22272/46250]	Loss: 0.3312	LR: 0.020000
Training Epoch: 11 [22528/46250]	Loss: 0.4182	LR: 0.020000
Training Epoch: 11 [22784/46250]	Loss: 0.3734	LR: 0.020000
Training Epoch: 11 [23040/46250]	Loss: 0.4468	LR: 0.020000
Training Epoch: 11 [23296/46250]	Loss: 0.4710	LR: 0.020000
Training Epoch: 11 [23552/46250]	Loss: 0.3983	LR: 0.020000
Training Epoch: 11 [23808/46250]	Loss: 0.4223	LR: 0.020000
Training Epoch: 11 [24064/46250]	Loss: 0.5041	LR: 0.020000
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Training Epoch: 11 [24576/46250]	Loss: 0.5055	LR: 0.020000
Training Epoch: 11 [24832/46250]	Loss: 0.4028	LR: 0.020000
Training Epoch: 11 [25088/46250]	Loss: 0.5492	LR: 0.020000
Training Epoch: 11 [25344/46250]	Loss: 0.4228	LR: 0.020000
Training Epoch: 11 [25600/46250]	Loss: 0.3458	LR: 0.020000
Training Epoch: 11 [25856/46250]	Loss: 0.4203	LR: 0.020000
Training Epoch: 11 [26112/46250]	Loss: 0.3356	LR: 0.020000
Training Epoch: 11 [26368/46250]	Loss: 0.4011	LR: 0.020000
Training Epoch: 11 [26624/46250]	Loss: 0.4444	LR: 0.020000
Training Epoch: 11 [26880/46250]	Loss: 0.4465	LR: 0.020000
Training Epoch: 11 [27136/46250]	Loss: 0.3937	LR: 0.020000
Training Epoch: 11 [27392/46250]	Loss: 0.4370	LR: 0.020000
Training Epoch: 11 [27648/46250]	Loss: 0.3917	LR: 0.020000
Training Epoch: 11 [27904/46250]	Loss: 0.3217	LR: 0.020000
Training Epoch: 11 [28160/46250]	Loss: 0.4216	LR: 0.020000
Training Epoch: 11 [28416/46250]	Loss: 0.5059	LR: 0.020000
Training Epoch: 11 [28672/46250]	Loss: 0.4343	LR: 0.020000
Training Epoch: 11 [28928/46250]	Loss: 0.4894	LR: 0.020000
Training Epoch: 11 [29184/46250]	Loss: 0.4010	LR: 0.020000
Training Epoch: 11 [29440/46250]	Loss: 0.4534	LR: 0.020000
Training Epoch: 11 [29696/46250]	Loss: 0.3918	LR: 0.020000
Training Epoch: 11 [29952/46250]	Loss: 0.4116	LR: 0.020000
Training Epoch: 11 [30208/46250]	Loss: 0.4375	LR: 0.020000
Training Epoch: 11 [30464/46250]	Loss: 0.4108	LR: 0.020000
Training Epoch: 11 [30720/46250]	Loss: 0.4978	LR: 0.020000
Training Epoch: 11 [30976/46250]	Loss: 0.4552	LR: 0.020000
Training Epoch: 11 [31232/46250]	Loss: 0.3545	LR: 0.020000
Training Epoch: 11 [31488/46250]	Loss: 0.3734	LR: 0.020000
Training Epoch: 11 [31744/46250]	Loss: 0.4326	LR: 0.020000
Training Epoch: 11 [32000/46250]	Loss: 0.4493	LR: 0.020000
Training Epoch: 11 [32256/46250]	Loss: 0.4209	LR: 0.020000
Training Epoch: 11 [32512/46250]	Loss: 0.3700	LR: 0.020000
Training Epoch: 11 [32768/46250]	Loss: 0.4304	LR: 0.020000
Training Epoch: 11 [33024/46250]	Loss: 0.3423	LR: 0.020000
Training Epoch: 11 [33280/46250]	Loss: 0.4306	LR: 0.020000
Training Epoch: 11 [33536/46250]	Loss: 0.4413	LR: 0.020000
Training Epoch: 11 [33792/46250]	Loss: 0.3728	LR: 0.020000
Training Epoch: 11 [34048/46250]	Loss: 0.4512	LR: 0.020000
Training Epoch: 11 [34304/46250]	Loss: 0.4347	LR: 0.020000
Training Epoch: 11 [34560/46250]	Loss: 0.4787	LR: 0.020000
Training Epoch: 11 [34816/46250]	Loss: 0.4188	LR: 0.020000
Training Epoch: 11 [35072/46250]	Loss: 0.3957	LR: 0.020000
Training Epoch: 11 [35328/46250]	Loss: 0.3275	LR: 0.020000
Training Epoch: 11 [35584/46250]	Loss: 0.3902	LR: 0.020000
Training Epoch: 11 [35840/46250]	Loss: 0.4319	LR: 0.020000
Training Epoch: 11 [36096/46250]	Loss: 0.4090	LR: 0.020000
Training Epoch: 11 [36352/46250]	Loss: 0.4723	LR: 0.020000
Training Epoch: 11 [36608/46250]	Loss: 0.3927	LR: 0.020000
Training Epoch: 11 [36864/46250]	Loss: 0.4295	LR: 0.020000
Training Epoch: 11 [37120/46250]	Loss: 0.3806	LR: 0.020000
Training Epoch: 11 [37376/46250]	Loss: 0.4147	LR: 0.020000
Training Epoch: 11 [37632/46250]	Loss: 0.4105	LR: 0.020000
Training Epoch: 11 [37888/46250]	Loss: 0.4354	LR: 0.020000
Training Epoch: 11 [38144/46250]	Loss: 0.4224	LR: 0.020000
Training Epoch: 11 [38400/46250]	Loss: 0.4325	LR: 0.020000
Training Epoch: 11 [38656/46250]	Loss: 0.4585	LR: 0.020000
Training Epoch: 11 [38912/46250]	Loss: 0.4352	LR: 0.020000
Training Epoch: 11 [39168/46250]	Loss: 0.3757	LR: 0.020000
Training Epoch: 11 [39424/46250]	Loss: 0.5638	LR: 0.020000
Training Epoch: 11 [39680/46250]	Loss: 0.5046	LR: 0.020000
Training Epoch: 11 [39936/46250]	Loss: 0.3440	LR: 0.020000
Training Epoch: 11 [40192/46250]	Loss: 0.3479	LR: 0.020000
Training Epoch: 11 [40448/46250]	Loss: 0.4065	LR: 0.020000
Training Epoch: 11 [40704/46250]	Loss: 0.4381	LR: 0.020000
Training Epoch: 11 [40960/46250]	Loss: 0.4468	LR: 0.020000
Training Epoch: 11 [41216/46250]	Loss: 0.4574	LR: 0.020000
Training Epoch: 11 [41472/46250]	Loss: 0.4515	LR: 0.020000
Training Epoch: 11 [41728/46250]	Loss: 0.4076	LR: 0.020000
Training Epoch: 11 [41984/46250]	Loss: 0.4751	LR: 0.020000
Training Epoch: 11 [42240/46250]	Loss: 0.4476	LR: 0.020000
Training Epoch: 11 [42496/46250]	Loss: 0.3195	LR: 0.020000
Training Epoch: 11 [42752/46250]	Loss: 0.4126	LR: 0.020000
Training Epoch: 11 [43008/46250]	Loss: 0.3861	LR: 0.020000
Training Epoch: 11 [43264/46250]	Loss: 0.4085	LR: 0.020000
Training Epoch: 11 [43520/46250]	Loss: 0.4444	LR: 0.020000
Training Epoch: 11 [43776/46250]	Loss: 0.3885	LR: 0.020000
Training Epoch: 11 [44032/46250]	Loss: 0.3898	LR: 0.020000
Training Epoch: 11 [44288/46250]	Loss: 0.5128	LR: 0.020000
Training Epoch: 11 [44544/46250]	Loss: 0.4664	LR: 0.020000
Training Epoch: 11 [44800/46250]	Loss: 0.4849	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3394	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.4064	LR: 0.020000
Training Epoch: 11 [45568/46250]	Loss: 0.4982	LR: 0.020000
Training Epoch: 11 [45824/46250]	Loss: 0.4661	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.3389	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.4464	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4176, Train Accuracy: 0.8560
Epoch 11 training time consumed: 25.91s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8428, Time consumed:0.94s
Training Epoch: 12 [256/46250]	Loss: 0.3219	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3424	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3253	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.2794	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.4443	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3889	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.4860	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3310	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3652	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.4441	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3447	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.4184	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3723	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.4494	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3755	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.2935	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.4113	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.4798	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.4101	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.3070	LR: 0.004000
Training Epoch: 12 [5376/46250]	Loss: 0.3820	LR: 0.004000
Training Epoch: 12 [5632/46250]	Loss: 0.4339	LR: 0.004000
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Training Epoch: 12 [44288/46250]	Loss: 0.3591	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.3759	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3230	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3687, Train Accuracy: 0.8730
Epoch 12 training time consumed: 25.74s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0016, Accuracy: 0.8646, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3213	LR: 0.004000
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Training Epoch: 13 [32256/46250]	Loss: 0.4288	LR: 0.004000
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Training Epoch: 13 [42496/46250]	Loss: 0.3985	LR: 0.004000
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Training Epoch: 13 [43008/46250]	Loss: 0.3249	LR: 0.004000
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Training Epoch: 13 [43520/46250]	Loss: 0.3630	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.4149	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3728	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3678	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3637	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.2937	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3871	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3562	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.3331	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.4033	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3067	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.3859	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3557, Train Accuracy: 0.8782
Epoch 13 training time consumed: 25.78s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8677, Time consumed:1.05s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3080	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.3229	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.3767	LR: 0.004000
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Training Epoch: 14 [1536/46250]	Loss: 0.3142	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.4178	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2701	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3487, Train Accuracy: 0.8807
Epoch 14 training time consumed: 25.79s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8686, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.2697	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.3878	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.4010	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2909	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.3258	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2797	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3445, Train Accuracy: 0.8826
Epoch 15 training time consumed: 25.61s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8728, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.3199	LR: 0.000800
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Training Epoch: 16 [38400/46250]	Loss: 0.3860	LR: 0.000800
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Training Epoch: 16 [41728/46250]	Loss: 0.3031	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.3000	LR: 0.000800
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Training Epoch: 16 [43520/46250]	Loss: 0.3075	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.3586	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.3519	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2914	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2902	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.3702	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3176	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2474	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2828	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2852	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.4044	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.3251	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3308, Train Accuracy: 0.8869
Epoch 16 training time consumed: 25.60s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8712, Time consumed:0.96s
Training Epoch: 17 [256/46250]	Loss: 0.3730	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.3264	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.3783	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.3107	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.3355	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.3413	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.3256	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.2958	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.2671	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.3506	LR: 0.000800
Training Epoch: 17 [2816/46250]	Loss: 0.3150	LR: 0.000800
Training Epoch: 17 [3072/46250]	Loss: 0.3312	LR: 0.000800
Training Epoch: 17 [3328/46250]	Loss: 0.3142	LR: 0.000800
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Training Epoch: 17 [4352/46250]	Loss: 0.3243	LR: 0.000800
Training Epoch: 17 [4608/46250]	Loss: 0.2814	LR: 0.000800
Training Epoch: 17 [4864/46250]	Loss: 0.2753	LR: 0.000800
Training Epoch: 17 [5120/46250]	Loss: 0.3830	LR: 0.000800
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Training Epoch: 17 [5632/46250]	Loss: 0.3803	LR: 0.000800
Training Epoch: 17 [5888/46250]	Loss: 0.3456	LR: 0.000800
Training Epoch: 17 [6144/46250]	Loss: 0.3350	LR: 0.000800
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Training Epoch: 17 [7680/46250]	Loss: 0.3412	LR: 0.000800
Training Epoch: 17 [7936/46250]	Loss: 0.3236	LR: 0.000800
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Training Epoch: 17 [8448/46250]	Loss: 0.2541	LR: 0.000800
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Training Epoch: 17 [9216/46250]	Loss: 0.3551	LR: 0.000800
Training Epoch: 17 [9472/46250]	Loss: 0.2714	LR: 0.000800
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Training Epoch: 17 [12288/46250]	Loss: 0.2664	LR: 0.000800
Training Epoch: 17 [12544/46250]	Loss: 0.3231	LR: 0.000800
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Training Epoch: 17 [17408/46250]	Loss: 0.3368	LR: 0.000800
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Training Epoch: 17 [42496/46250]	Loss: 0.2863	LR: 0.000800
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Training Epoch: 17 [43008/46250]	Loss: 0.3316	LR: 0.000800
Training Epoch: 17 [43264/46250]	Loss: 0.3812	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2668	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.3945	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.3388	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.4559	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2755	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.3029	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2904	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.2885	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3325	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3258, Train Accuracy: 0.8890
Epoch 17 training time consumed: 25.77s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8736, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2569	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.3153	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.2779	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.3202	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2979	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.3072	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.3352	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.3396	LR: 0.000800
Training Epoch: 18 [2304/46250]	Loss: 0.3451	LR: 0.000800
Training Epoch: 18 [2560/46250]	Loss: 0.3575	LR: 0.000800
Training Epoch: 18 [2816/46250]	Loss: 0.2809	LR: 0.000800
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Training Epoch: 18 [4608/46250]	Loss: 0.3691	LR: 0.000800
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Training Epoch: 18 [6144/46250]	Loss: 0.3399	LR: 0.000800
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Training Epoch: 18 [16128/46250]	Loss: 0.3292	LR: 0.000800
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Training Epoch: 18 [18176/46250]	Loss: 0.3173	LR: 0.000800
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Training Epoch: 18 [43520/46250]	Loss: 0.3542	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.3245	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.3530	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2244	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2640	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2778	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.3003	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.3467	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.3546	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.3948	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3217, Train Accuracy: 0.8880
Epoch 18 training time consumed: 25.69s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8744, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.2972	LR: 0.000800
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Training Epoch: 19 [1536/46250]	Loss: 0.3232	LR: 0.000800
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Training Epoch: 19 [45056/46250]	Loss: 0.3376	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2979	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.3478	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.3861	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.3326	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3268	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3207, Train Accuracy: 0.8899
Epoch 19 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0015, Accuracy: 0.8727, Time consumed:0.94s
Training Epoch: 20 [256/46250]	Loss: 0.2890	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2986	LR: 0.000800
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Training Epoch: 20 [1280/46250]	Loss: 0.3155	LR: 0.000800
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Training Epoch: 20 [45824/46250]	Loss: 0.3953	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.3149	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3981	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3220, Train Accuracy: 0.8904
Epoch 20 training time consumed: 25.76s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0015, Accuracy: 0.8747, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_19h_55m_38s/AllCNN-Cifar10-seed3-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: 87.6171875
Retain Accuracy: 89.40760040283203
Zero-Retain Forget (ZRF): 0.8591920137405396
Membership Inference Attack (MIA): 0.41226666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.5073333333333333
Forget vs Test Membership Inference Attack (MIA): 0.5493333333333333
Test vs Retain Membership Inference Attack (MIA): 0.49175
Train vs Test Membership Inference Attack (MIA): 0.514
Forget Set Accuracy (Df): 86.89978790283203
Method Execution Time: 1034.54 seconds
