hello
hello

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

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

📊 Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3447	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3526	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3266	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3261	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3242	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.3115	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2993	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2668	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2360	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2428	LR: 0.004972
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Training Epoch: 1 [3072/46250]	Loss: 2.2019	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.2124	LR: 0.006630
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Training Epoch: 1 [8448/46250]	Loss: 1.9128	LR: 0.017680
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Training Epoch: 1 [8960/46250]	Loss: 1.8803	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8610	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.8640	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.8106	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7744	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.7738	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.8413	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7331	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.8266	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8310	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.8203	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.8287	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.8195	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7542	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.7976	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7774	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.7641	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7996	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.8156	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7085	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.8778	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.7828	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7579	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.8447	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.7004	LR: 0.032044
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Training Epoch: 1 [15616/46250]	Loss: 1.6724	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.7192	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.6586	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.6636	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.7268	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.6077	LR: 0.035912
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Training Epoch: 1 [19200/46250]	Loss: 1.5117	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.5078	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.5871	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.6488	LR: 0.042541
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Training Epoch: 1 [20480/46250]	Loss: 1.6938	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.5932	LR: 0.044199
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Training Epoch: 1 [22016/46250]	Loss: 1.6086	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.6043	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.5444	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.5465	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.5571	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.5286	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.4853	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.6520	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.4027	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.5770	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.4611	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.4945	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6104	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.5477	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.6002	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.5151	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.5969	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.5777	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.5752	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.5581	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.6235	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.5030	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.4860	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.6452	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.4817	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.5067	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.6578	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.5305	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.5242	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.4753	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.4949	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.4986	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.5379	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.6006	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.4522	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.5576	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.4249	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.4887	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.5509	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.4774	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.4279	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.5146	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.5763	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.6178	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5139	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.4202	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4886	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.4589	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5507	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.2883	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.3238	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4872	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5152	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.3742	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.4366	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.4234	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.4752	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4998	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.4093	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4341	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.3907	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.3645	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.4103	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.4838	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.4420	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4785	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.5093	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.3917	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.4950	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.3787	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.2275	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.4664	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.4086	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.3762	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.3977	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.3880	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.4142	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.3492	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.2638	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.4177	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4520	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.3042	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.3548	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.3377	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.4180	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4123	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4984	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.4400	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4353	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.3233	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4095	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.4277	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.3824	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.2663	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.4607	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.3852	LR: 0.099448
Epoch 1 - Average Train Loss: 1.6620, Train Accuracy: 0.3814
Epoch 1 training time consumed: 26.18s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0068, Accuracy: 0.4401, Time consumed:1.11s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.4860	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.3678	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.3289	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.5016	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.4463	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.2762	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.3179	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.3767	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3686	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.2694	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.3392	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.2204	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3331	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.3614	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3178	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.3816	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3943	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.3985	LR: 0.100000
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Training Epoch: 2 [5120/46250]	Loss: 1.2988	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.3366	LR: 0.100000
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Training Epoch: 2 [6144/46250]	Loss: 1.2979	LR: 0.100000
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Training Epoch: 2 [7936/46250]	Loss: 1.0993	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.2640	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.2370	LR: 0.100000
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Training Epoch: 2 [15104/46250]	Loss: 1.3312	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.0475	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.2720	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1959, Train Accuracy: 0.5691
Epoch 2 training time consumed: 25.45s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0044, Accuracy: 0.6219, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.9176	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 0.8996	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9951, Train Accuracy: 0.6471
Epoch 3 training time consumed: 25.38s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0043, Accuracy: 0.6264, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8593	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.8800	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8697, Train Accuracy: 0.6915
Epoch 4 training time consumed: 25.48s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0043, Accuracy: 0.6364, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.6292	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7701, Train Accuracy: 0.7302
Epoch 5 training time consumed: 25.42s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0033, Accuracy: 0.7149, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6434	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.7309	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6979, Train Accuracy: 0.7544
Epoch 6 training time consumed: 25.49s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0031, Accuracy: 0.7423, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.6992	LR: 0.100000
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Training Epoch: 7 [17408/46250]	Loss: 0.7009	LR: 0.100000
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Training Epoch: 7 [17920/46250]	Loss: 0.6198	LR: 0.100000
Training Epoch: 7 [18176/46250]	Loss: 0.7093	LR: 0.100000
Training Epoch: 7 [18432/46250]	Loss: 0.7006	LR: 0.100000
Training Epoch: 7 [18688/46250]	Loss: 0.6643	LR: 0.100000
Training Epoch: 7 [18944/46250]	Loss: 0.6265	LR: 0.100000
Training Epoch: 7 [19200/46250]	Loss: 0.7399	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.6168	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.6460	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.5906	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.6991	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.5318	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.6389	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.6099	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.6140	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.6980	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.7179	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.7039	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.5442	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.6193	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.5273	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.6102	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.7070	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.6703	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.6489	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.6108	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.5169	LR: 0.100000
Training Epoch: 7 [24576/46250]	Loss: 0.7047	LR: 0.100000
Training Epoch: 7 [24832/46250]	Loss: 0.5719	LR: 0.100000
Training Epoch: 7 [25088/46250]	Loss: 0.6818	LR: 0.100000
Training Epoch: 7 [25344/46250]	Loss: 0.6643	LR: 0.100000
Training Epoch: 7 [25600/46250]	Loss: 0.5743	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.5516	LR: 0.100000
Training Epoch: 7 [26112/46250]	Loss: 0.6723	LR: 0.100000
Training Epoch: 7 [26368/46250]	Loss: 0.7194	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.5933	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.5539	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.6124	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.5955	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.5241	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.6406	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.6374	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.5833	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.7252	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.6595	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.8474	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.7379	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.6906	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.7346	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.6137	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.6865	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.7189	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.5683	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.5751	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.6512	LR: 0.100000
Training Epoch: 7 [31744/46250]	Loss: 0.7055	LR: 0.100000
Training Epoch: 7 [32000/46250]	Loss: 0.6277	LR: 0.100000
Training Epoch: 7 [32256/46250]	Loss: 0.7422	LR: 0.100000
Training Epoch: 7 [32512/46250]	Loss: 0.7915	LR: 0.100000
Training Epoch: 7 [32768/46250]	Loss: 0.6963	LR: 0.100000
Training Epoch: 7 [33024/46250]	Loss: 0.5981	LR: 0.100000
Training Epoch: 7 [33280/46250]	Loss: 0.6554	LR: 0.100000
Training Epoch: 7 [33536/46250]	Loss: 0.5982	LR: 0.100000
Training Epoch: 7 [33792/46250]	Loss: 0.6851	LR: 0.100000
Training Epoch: 7 [34048/46250]	Loss: 0.7055	LR: 0.100000
Training Epoch: 7 [34304/46250]	Loss: 0.6213	LR: 0.100000
Training Epoch: 7 [34560/46250]	Loss: 0.6011	LR: 0.100000
Training Epoch: 7 [34816/46250]	Loss: 0.6682	LR: 0.100000
Training Epoch: 7 [35072/46250]	Loss: 0.6875	LR: 0.100000
Training Epoch: 7 [35328/46250]	Loss: 0.6590	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.6815	LR: 0.100000
Training Epoch: 7 [35840/46250]	Loss: 0.5731	LR: 0.100000
Training Epoch: 7 [36096/46250]	Loss: 0.6532	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.6403	LR: 0.100000
Training Epoch: 7 [36608/46250]	Loss: 0.6247	LR: 0.100000
Training Epoch: 7 [36864/46250]	Loss: 0.6526	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.5625	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.5848	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.6425	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.6026	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.6177	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.6290	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.7138	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.6443	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.7030	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.8069	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.6114	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.6409	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.6474	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.7102	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.6655	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.5507	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.6641	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.5783	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.5718	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.6324	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.7145	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.5371	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.6092	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.6434	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.6238	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.5641	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.5710	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.6223	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.5968	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.6226	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.5455	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.6077	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.7235	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.6242	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.5931	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.6340	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.6778	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6413, Train Accuracy: 0.7773
Epoch 7 training time consumed: 25.39s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0033, Accuracy: 0.7300, Time consumed:0.95s
Training Epoch: 8 [256/46250]	Loss: 0.5771	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.6339	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.6168	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.6093	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.5718	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.6257	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.6075	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.6104	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.5531	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.5085	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.5456	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.6349	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.4964	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.5536	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.5471	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.5729	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.4846	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.4756	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.5194	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.5154	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.5419	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.5394	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.6229	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.5321	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.4369	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.5528	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.5157	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.5262	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.4962	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.4896	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.4561	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.6445	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.5087	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.4904	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.4903	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.5239	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.5811	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.3917	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.5087	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.5448	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.5468	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.4590	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.6112	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.5680	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.4157	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.4811	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.5309	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.6388	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.6037	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.4580	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.4307	LR: 0.020000
Training Epoch: 8 [13312/46250]	Loss: 0.5133	LR: 0.020000
Training Epoch: 8 [13568/46250]	Loss: 0.5221	LR: 0.020000
Training Epoch: 8 [13824/46250]	Loss: 0.4944	LR: 0.020000
Training Epoch: 8 [14080/46250]	Loss: 0.5391	LR: 0.020000
Training Epoch: 8 [14336/46250]	Loss: 0.4277	LR: 0.020000
Training Epoch: 8 [14592/46250]	Loss: 0.5030	LR: 0.020000
Training Epoch: 8 [14848/46250]	Loss: 0.5075	LR: 0.020000
Training Epoch: 8 [15104/46250]	Loss: 0.4762	LR: 0.020000
Training Epoch: 8 [15360/46250]	Loss: 0.4849	LR: 0.020000
Training Epoch: 8 [15616/46250]	Loss: 0.4803	LR: 0.020000
Training Epoch: 8 [15872/46250]	Loss: 0.4707	LR: 0.020000
Training Epoch: 8 [16128/46250]	Loss: 0.4705	LR: 0.020000
Training Epoch: 8 [16384/46250]	Loss: 0.4988	LR: 0.020000
Training Epoch: 8 [16640/46250]	Loss: 0.5097	LR: 0.020000
Training Epoch: 8 [16896/46250]	Loss: 0.6536	LR: 0.020000
Training Epoch: 8 [17152/46250]	Loss: 0.5737	LR: 0.020000
Training Epoch: 8 [17408/46250]	Loss: 0.4773	LR: 0.020000
Training Epoch: 8 [17664/46250]	Loss: 0.4994	LR: 0.020000
Training Epoch: 8 [17920/46250]	Loss: 0.4787	LR: 0.020000
Training Epoch: 8 [18176/46250]	Loss: 0.5198	LR: 0.020000
Training Epoch: 8 [18432/46250]	Loss: 0.4874	LR: 0.020000
Training Epoch: 8 [18688/46250]	Loss: 0.4729	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.4774	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.4143	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.4888	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.4584	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.5122	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.4839	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.5331	LR: 0.020000
Training Epoch: 8 [20736/46250]	Loss: 0.5511	LR: 0.020000
Training Epoch: 8 [20992/46250]	Loss: 0.4666	LR: 0.020000
Training Epoch: 8 [21248/46250]	Loss: 0.5070	LR: 0.020000
Training Epoch: 8 [21504/46250]	Loss: 0.5399	LR: 0.020000
Training Epoch: 8 [21760/46250]	Loss: 0.4508	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.5024	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.4418	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.4280	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.4546	LR: 0.020000
Training Epoch: 8 [23040/46250]	Loss: 0.4653	LR: 0.020000
Training Epoch: 8 [23296/46250]	Loss: 0.4975	LR: 0.020000
Training Epoch: 8 [23552/46250]	Loss: 0.3885	LR: 0.020000
Training Epoch: 8 [23808/46250]	Loss: 0.4096	LR: 0.020000
Training Epoch: 8 [24064/46250]	Loss: 0.4237	LR: 0.020000
Training Epoch: 8 [24320/46250]	Loss: 0.4956	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.5220	LR: 0.020000
Training Epoch: 8 [24832/46250]	Loss: 0.5418	LR: 0.020000
Training Epoch: 8 [25088/46250]	Loss: 0.4679	LR: 0.020000
Training Epoch: 8 [25344/46250]	Loss: 0.3945	LR: 0.020000
Training Epoch: 8 [25600/46250]	Loss: 0.3493	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.4569	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.4762	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.4810	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.4563	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.4031	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.4643	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.4850	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.4567	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.5990	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.4761	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.5201	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.4939	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.3711	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.5906	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.4655	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.3965	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.4067	LR: 0.020000
Training Epoch: 8 [30208/46250]	Loss: 0.4921	LR: 0.020000
Training Epoch: 8 [30464/46250]	Loss: 0.4413	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.4594	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.4767	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.4746	LR: 0.020000
Training Epoch: 8 [31488/46250]	Loss: 0.4748	LR: 0.020000
Training Epoch: 8 [31744/46250]	Loss: 0.5211	LR: 0.020000
Training Epoch: 8 [32000/46250]	Loss: 0.5837	LR: 0.020000
Training Epoch: 8 [32256/46250]	Loss: 0.5128	LR: 0.020000
Training Epoch: 8 [32512/46250]	Loss: 0.5275	LR: 0.020000
Training Epoch: 8 [32768/46250]	Loss: 0.4883	LR: 0.020000
Training Epoch: 8 [33024/46250]	Loss: 0.4916	LR: 0.020000
Training Epoch: 8 [33280/46250]	Loss: 0.4967	LR: 0.020000
Training Epoch: 8 [33536/46250]	Loss: 0.5831	LR: 0.020000
Training Epoch: 8 [33792/46250]	Loss: 0.5347	LR: 0.020000
Training Epoch: 8 [34048/46250]	Loss: 0.4831	LR: 0.020000
Training Epoch: 8 [34304/46250]	Loss: 0.3953	LR: 0.020000
Training Epoch: 8 [34560/46250]	Loss: 0.4034	LR: 0.020000
Training Epoch: 8 [34816/46250]	Loss: 0.5879	LR: 0.020000
Training Epoch: 8 [35072/46250]	Loss: 0.5746	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.5249	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.4308	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.4646	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.4798	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.5256	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.4277	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.4686	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.3924	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.4921	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.4416	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.4668	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.3716	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.4520	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.4441	LR: 0.020000
Training Epoch: 8 [38912/46250]	Loss: 0.3607	LR: 0.020000
Training Epoch: 8 [39168/46250]	Loss: 0.5103	LR: 0.020000
Training Epoch: 8 [39424/46250]	Loss: 0.5325	LR: 0.020000
Training Epoch: 8 [39680/46250]	Loss: 0.5053	LR: 0.020000
Training Epoch: 8 [39936/46250]	Loss: 0.4943	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.5487	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.4287	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.5128	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.4446	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.5084	LR: 0.020000
Training Epoch: 8 [41472/46250]	Loss: 0.5577	LR: 0.020000
Training Epoch: 8 [41728/46250]	Loss: 0.4617	LR: 0.020000
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Training Epoch: 8 [42240/46250]	Loss: 0.4346	LR: 0.020000
Training Epoch: 8 [42496/46250]	Loss: 0.5109	LR: 0.020000
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Training Epoch: 8 [43264/46250]	Loss: 0.4319	LR: 0.020000
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Training Epoch: 8 [44032/46250]	Loss: 0.5491	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.4540	LR: 0.020000
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Training Epoch: 8 [45056/46250]	Loss: 0.3990	LR: 0.020000
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Training Epoch: 8 [45568/46250]	Loss: 0.5818	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.5372	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.4918	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.4078	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4968, Train Accuracy: 0.8299
Epoch 8 training time consumed: 25.42s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8356, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3995	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.3866	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3318	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4518, Train Accuracy: 0.8432
Epoch 9 training time consumed: 25.47s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8465, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4261	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4100	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.4282	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3808	LR: 0.020000
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Training Epoch: 10 [1536/46250]	Loss: 0.4313	LR: 0.020000
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Training Epoch: 10 [25088/46250]	Loss: 0.4388	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.4258	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.3541	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4271, Train Accuracy: 0.8521
Epoch 10 training time consumed: 25.44s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8510, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.4448	LR: 0.020000
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Training Epoch: 11 [45056/46250]	Loss: 0.5019	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.4490	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.4099	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3989	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4147, Train Accuracy: 0.8562
Epoch 11 training time consumed: 25.45s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8461, Time consumed:0.99s
Training Epoch: 12 [256/46250]	Loss: 0.3631	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3614	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3800	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3696	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.4379	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3091	LR: 0.004000
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Training Epoch: 12 [2048/46250]	Loss: 0.3522	LR: 0.004000
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Training Epoch: 12 [2560/46250]	Loss: 0.4053	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3240	LR: 0.004000
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Training Epoch: 12 [3328/46250]	Loss: 0.4413	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3507	LR: 0.004000
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Training Epoch: 12 [4096/46250]	Loss: 0.4548	LR: 0.004000
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Training Epoch: 12 [4608/46250]	Loss: 0.3693	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.4106	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.3692	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3345	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3659, Train Accuracy: 0.8740
Epoch 12 training time consumed: 25.40s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8703, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.4074	LR: 0.004000
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Training Epoch: 13 [43520/46250]	Loss: 0.3971	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3569	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3561	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3395	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3208	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3313	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3317	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.4263	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.2938	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.3880	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3303	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.4268	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3521, Train Accuracy: 0.8780
Epoch 13 training time consumed: 25.41s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8709, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.2947	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.3597	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.3441	LR: 0.004000
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Training Epoch: 14 [46250/46250]	Loss: 0.2890	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3476, Train Accuracy: 0.8812
Epoch 14 training time consumed: 25.38s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8719, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.3808	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.3877	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.2464	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.3769	LR: 0.004000
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Training Epoch: 15 [11008/46250]	Loss: 0.3846	LR: 0.004000
Training Epoch: 15 [11264/46250]	Loss: 0.4069	LR: 0.004000
Training Epoch: 15 [11520/46250]	Loss: 0.2907	LR: 0.004000
Training Epoch: 15 [11776/46250]	Loss: 0.2937	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.3441	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.3451	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.4456	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.3102	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.3942	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.3002	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.2623	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.3162	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.3253	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.3236	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.2986	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.2538	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.3586	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.3221	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.3152	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.3680	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.3661	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.2966	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.3892	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.3770	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.3686	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.3763	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.3934	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.2897	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.3022	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.2980	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.3274	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.4356	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.4045	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.3243	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.3636	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.3172	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.3301	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.3299	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.2979	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.3115	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.3904	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.2418	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.3464	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.4316	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.4671	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.2720	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.3743	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.3169	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.3449	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.3171	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.3185	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.2927	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.3693	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.3175	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.4045	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.3174	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.4287	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.3817	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.2828	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.3432	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.3616	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.4276	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.2643	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.2914	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.4417	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.2855	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.3228	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.2851	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.3116	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.3972	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.3461	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.3040	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.3009	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.3437	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.2709	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.4066	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.3405	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.3148	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.3265	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.3498	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.3303	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.3771	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.3754	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.3554	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.3397	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.3820	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.3345	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.2766	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.3731	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.3255	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.3550	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.2446	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.3412	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.4145	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.3432	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.3181	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.3696	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.3433	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.3411	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.2932	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.3241	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.2765	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.4526	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.3858	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.3746	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.3428	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.3102	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.3462	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.4287	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.4331	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.3516	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.3324	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.3067	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.2754	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.3935	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.3960	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.2984	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.3462	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.3471	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.3795	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.3391	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.3236	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.3413	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.3066	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.3779	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.3120	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.3909	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.3128	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.3851	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.3819	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.3583	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.3540	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.3009	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.3701	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.3171	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.2983	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.2913	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.4133	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.2735	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3396, Train Accuracy: 0.8838
Epoch 15 training time consumed: 25.31s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0016, Accuracy: 0.8694, Time consumed:0.92s
Training Epoch: 16 [256/46250]	Loss: 0.3161	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.2885	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.2863	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.3453	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.3373	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.2920	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.3231	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.3293	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.3534	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.3708	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.2898	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.2993	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.3482	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.2777	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.2893	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.3577	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.3366	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.3172	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.2209	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.2556	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.4811	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.3440	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.3709	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.2847	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.3289	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.3427	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.3461	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.3278	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.3418	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.3233	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.2639	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.3260	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.2925	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.3304	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.3783	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.3030	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.3323	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.3270	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.2961	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.3112	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.2762	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.4121	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.3324	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.3595	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.4444	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.2892	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.3968	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.2899	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.3526	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.4000	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.2747	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.3571	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.3081	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.2966	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.4283	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.2639	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.3532	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.2870	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.3078	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.3685	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.3186	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.2841	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.3272	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.3729	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.3336	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.2865	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.3103	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.3445	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.3886	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.2851	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.2855	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.3023	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.3287	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.2693	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.3971	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.2647	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.3387	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.3507	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.3858	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.3231	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.3729	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.3059	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.3110	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.2979	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.2822	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.2775	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.3356	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.3473	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.3247	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.3720	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.2818	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.2894	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.3637	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.2935	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.3011	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.3797	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.3693	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.3769	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.3526	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.3094	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.3042	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.2574	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.2715	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.3307	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.3419	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.3865	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.4305	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.3410	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.3737	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.4047	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.3146	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.2273	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.3170	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.3307	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.3666	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.3110	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.3114	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.3873	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.3013	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.3693	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.2978	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.3273	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.3526	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2409	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.2920	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.3296	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.3383	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.3246	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.4088	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.2630	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.3579	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.3025	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.3128	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.3371	LR: 0.000800
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Training Epoch: 16 [41984/46250]	Loss: 0.2425	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.3272	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.3487	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.3850	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.3362	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.3880	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.3964	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2852	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.3853	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3162	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.3448	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.3352	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3389	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.3033	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.3164	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.3245	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2865	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2785	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3254, Train Accuracy: 0.8884
Epoch 16 training time consumed: 25.62s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8742, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.3369	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.2996	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2926	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.2209	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.3479	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.3946	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.2781	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.3240	LR: 0.000800
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Training Epoch: 17 [40448/46250]	Loss: 0.2697	LR: 0.000800
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Training Epoch: 17 [43520/46250]	Loss: 0.3362	LR: 0.000800
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Training Epoch: 17 [44032/46250]	Loss: 0.3774	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.3258	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.3394	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.3858	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.3429	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.3612	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.3318	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3200	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3238, Train Accuracy: 0.8896
Epoch 17 training time consumed: 25.47s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8754, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.3213	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.3805	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.3524	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2710	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.3170	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.3194	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.3348	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.3229	LR: 0.000800
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Training Epoch: 18 [4608/46250]	Loss: 0.2765	LR: 0.000800
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Training Epoch: 18 [17664/46250]	Loss: 0.3708	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.3043	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.3626	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.3181	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.3445	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.3465	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.2874	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.3538	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.3239	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.3197	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.3512	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.2933	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.2957	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.3574	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.2803	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.3248	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.3059	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.3719	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.3455	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.3313	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.3441	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.3069	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.2906	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.2904	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.3552	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.3326	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.3199	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.3855	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.3630	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.3292	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.3413	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.2645	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.3405	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.2906	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.3059	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.2807	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.2788	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.3104	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.3358	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.3010	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.3492	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.3456	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.2561	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.3525	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.3439	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.3570	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.3740	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.2944	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.2508	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.3736	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.3311	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.3313	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.3213	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.3361	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.3299	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.3292	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.3244	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.3293	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.3431	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.3228	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.3805	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.3274	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.2977	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.3414	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.3501	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.3945	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.3109	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.3040	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.3495	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.2851	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.3830	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.3067	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.3494	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.3201	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.3373	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.3052	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.3252	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.3700	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.3281	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.2409	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.2597	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.4210	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.3841	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2502	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.3545	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.3573	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.3326	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.3003	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2414	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.3285	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.3314	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.3117	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.3702	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.3510	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2978	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3013	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.3782	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.3571	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.3030	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.3459	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.3199	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.3686	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2927	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3227, Train Accuracy: 0.8891
Epoch 18 training time consumed: 25.35s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8750, Time consumed:1.03s
Training Epoch: 19 [256/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.2881	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.4204	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.2883	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.3194	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.3191	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.3443	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.2592	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.3782	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2913	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.2350	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.3664	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.3262	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.3274	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.2568	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.2833	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.3419	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.3332	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.3335	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.3497	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.3738	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.3754	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.3174	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.3055	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.2422	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.3050	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.2653	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.3059	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.2738	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.3381	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.3375	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.3178	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.2896	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.2575	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.3158	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.3355	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.3272	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2381	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.3674	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.3360	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.3036	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.3299	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.2292	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.3752	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.2976	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.3579	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.3300	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.2652	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.3465	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.3850	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.3513	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.2988	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.3738	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.3617	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.3252	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.3360	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.3491	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.3555	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.3831	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.3406	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.2999	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.2821	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.3650	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.3105	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.3739	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.2798	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.3383	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.2423	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.3266	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.3784	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.2996	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.3065	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.3980	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.3180	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2979	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.3445	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.3303	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.3487	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.3311	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.2899	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.3344	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.3657	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.2848	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.3299	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.3390	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.2881	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.2448	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.3089	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.3261	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.3270	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.2845	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.2994	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.2887	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.3473	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.2377	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.3484	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.3442	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.3909	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.4094	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.3470	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.3360	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.3220	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.2383	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.2987	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.2209	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.3260	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.2824	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.3982	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.3272	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.3432	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.3909	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.3185	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.3476	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.3002	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.2975	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.3316	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.2607	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.3330	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.3226	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.2946	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.3899	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.2471	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.2778	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.3579	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.3281	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.3391	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.3088	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2667	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.3749	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.3523	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.2760	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.3946	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.3721	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.2812	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.3516	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.3701	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.3504	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.3574	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.4092	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.3385	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.2871	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.3391	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.3255	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.3308	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.3296	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.2952	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.3414	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.3234	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.3094	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.2904	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.3306	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.2775	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.3005	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.2970	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.2990	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.3036	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.2964	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.3581	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.3122	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2957	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.2957	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.3186	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.3861	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3794	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3188, Train Accuracy: 0.8894
Epoch 19 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0015, Accuracy: 0.8770, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Saturday_12_July_2025_21h_05m_48s/AllCNN-Cifar10-seed7-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.2707	LR: 0.000800
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Training Epoch: 20 [45056/46250]	Loss: 0.2601	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2837	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.3604	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3374	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.3579	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3842	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3202, Train Accuracy: 0.8901
Epoch 20 training time consumed: 25.38s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0015, Accuracy: 0.8770, 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: 87.548828125
Retain Accuracy: 89.52733612060547
Zero-Retain Forget (ZRF): 0.8544902801513672
Membership Inference Attack (MIA): 0.42773333333333335
Forget vs Retain Membership Inference Attack (MIA): 0.4886666666666667
Forget vs Test Membership Inference Attack (MIA): 0.548
Test vs Retain Membership Inference Attack (MIA): 0.512
Train vs Test Membership Inference Attack (MIA): 0.513
Forget Set Accuracy (Df): 86.72941589355469
Method Execution Time: 1026.65 seconds
