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: 4750
  Class 1: 4750
  Class 2: 4750
  Class 3: 4750
  Class 4: 4750
  Class 5: 4750
  Class 6: 4750
  Class 7: 4750
  Class 8: 4750
  Class 9: 4750
Forget set:
  Class 0: 250
  Class 1: 250
  Class 2: 250
  Class 3: 250
  Class 4: 250
  Class 5: 250
  Class 6: 250
  Class 7: 250
  Class 8: 250
  Class 9: 250
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.3189	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3479	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3450	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3366	LR: 0.001613
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Training Epoch: 1 [10496/47500]	Loss: 1.8142	LR: 0.021505
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Training Epoch: 1 [11008/47500]	Loss: 1.8101	LR: 0.022581
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Training Epoch: 1 [11520/47500]	Loss: 1.7176	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7516	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7772	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.6952	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.8020	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.7032	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7212	LR: 0.026882
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Training Epoch: 1 [13568/47500]	Loss: 1.8126	LR: 0.027957
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Training Epoch: 1 [16896/47500]	Loss: 1.6844	LR: 0.034946
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Training Epoch: 1 [25088/47500]	Loss: 1.5300	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.6169	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.5166	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.5967	LR: 0.053763
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Training Epoch: 1 [28416/47500]	Loss: 1.5035	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.5975	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.5575	LR: 0.060215
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Training Epoch: 1 [29952/47500]	Loss: 1.4534	LR: 0.062366
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Training Epoch: 1 [30464/47500]	Loss: 1.4119	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5753	LR: 0.063978
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Training Epoch: 1 [31232/47500]	Loss: 1.4896	LR: 0.065054
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Training Epoch: 1 [31744/47500]	Loss: 1.5576	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.5417	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.5793	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.3902	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.3701	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.5626	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.3807	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.4881	LR: 0.069892
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Training Epoch: 1 [35328/47500]	Loss: 1.3776	LR: 0.073656
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Training Epoch: 1 [37376/47500]	Loss: 1.3479	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.2880	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.4373	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.5248	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.4440	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.4395	LR: 0.080645
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Training Epoch: 1 [40192/47500]	Loss: 1.3777	LR: 0.083871
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Training Epoch: 1 [41728/47500]	Loss: 1.2558	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4036	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.3791	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.4430	LR: 0.088710
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Training Epoch: 1 [43008/47500]	Loss: 1.5118	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.3203	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.4389	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.3541	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.3769	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.3459	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.3815	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.2888	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.3794	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3153	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.2591	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.2990	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.2309	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.4164	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.3361	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.2571	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.3067	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.3452	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.1993	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6502, Train Accuracy: 0.3897
Epoch 1 training time consumed: 27.19s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0085, Accuracy: 0.3922, Time consumed:1.07s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.3055	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.4546	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.1690	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.4218	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.4443	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.4192	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.3575	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.4504	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 1.0296	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1743, Train Accuracy: 0.5787
Epoch 2 training time consumed: 26.47s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0055, Accuracy: 0.5359, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.1110	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.8749	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9751, Train Accuracy: 0.6521
Epoch 3 training time consumed: 26.58s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0036, Accuracy: 0.6785, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.8354	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.8889	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.7522	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.9494	LR: 0.100000
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Training Epoch: 4 [2048/47500]	Loss: 0.8086	LR: 0.100000
Training Epoch: 4 [2304/47500]	Loss: 0.9142	LR: 0.100000
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Training Epoch: 4 [20480/47500]	Loss: 0.9398	LR: 0.100000
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Training Epoch: 4 [23808/47500]	Loss: 0.8184	LR: 0.100000
Training Epoch: 4 [24064/47500]	Loss: 0.8460	LR: 0.100000
Training Epoch: 4 [24320/47500]	Loss: 0.8463	LR: 0.100000
Training Epoch: 4 [24576/47500]	Loss: 0.9102	LR: 0.100000
Training Epoch: 4 [24832/47500]	Loss: 0.7253	LR: 0.100000
Training Epoch: 4 [25088/47500]	Loss: 0.9234	LR: 0.100000
Training Epoch: 4 [25344/47500]	Loss: 0.8078	LR: 0.100000
Training Epoch: 4 [25600/47500]	Loss: 0.9430	LR: 0.100000
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Training Epoch: 4 [27904/47500]	Loss: 0.9344	LR: 0.100000
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Training Epoch: 4 [29184/47500]	Loss: 0.7816	LR: 0.100000
Training Epoch: 4 [29440/47500]	Loss: 0.7887	LR: 0.100000
Training Epoch: 4 [29696/47500]	Loss: 0.8176	LR: 0.100000
Training Epoch: 4 [29952/47500]	Loss: 0.7827	LR: 0.100000
Training Epoch: 4 [30208/47500]	Loss: 0.7457	LR: 0.100000
Training Epoch: 4 [30464/47500]	Loss: 0.8729	LR: 0.100000
Training Epoch: 4 [30720/47500]	Loss: 0.9721	LR: 0.100000
Training Epoch: 4 [30976/47500]	Loss: 0.9292	LR: 0.100000
Training Epoch: 4 [31232/47500]	Loss: 0.7872	LR: 0.100000
Training Epoch: 4 [31488/47500]	Loss: 0.8319	LR: 0.100000
Training Epoch: 4 [31744/47500]	Loss: 0.7899	LR: 0.100000
Training Epoch: 4 [32000/47500]	Loss: 0.8144	LR: 0.100000
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Training Epoch: 4 [34816/47500]	Loss: 0.8664	LR: 0.100000
Training Epoch: 4 [35072/47500]	Loss: 0.9355	LR: 0.100000
Training Epoch: 4 [35328/47500]	Loss: 0.8782	LR: 0.100000
Training Epoch: 4 [35584/47500]	Loss: 0.8098	LR: 0.100000
Training Epoch: 4 [35840/47500]	Loss: 0.8138	LR: 0.100000
Training Epoch: 4 [36096/47500]	Loss: 0.8508	LR: 0.100000
Training Epoch: 4 [36352/47500]	Loss: 0.8832	LR: 0.100000
Training Epoch: 4 [36608/47500]	Loss: 0.8556	LR: 0.100000
Training Epoch: 4 [36864/47500]	Loss: 0.9530	LR: 0.100000
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Training Epoch: 4 [37376/47500]	Loss: 0.8483	LR: 0.100000
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Training Epoch: 4 [37888/47500]	Loss: 0.9222	LR: 0.100000
Training Epoch: 4 [38144/47500]	Loss: 0.8756	LR: 0.100000
Training Epoch: 4 [38400/47500]	Loss: 0.6821	LR: 0.100000
Training Epoch: 4 [38656/47500]	Loss: 0.8846	LR: 0.100000
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Training Epoch: 4 [39168/47500]	Loss: 0.9014	LR: 0.100000
Training Epoch: 4 [39424/47500]	Loss: 0.9341	LR: 0.100000
Training Epoch: 4 [39680/47500]	Loss: 0.7301	LR: 0.100000
Training Epoch: 4 [39936/47500]	Loss: 0.8210	LR: 0.100000
Training Epoch: 4 [40192/47500]	Loss: 0.8356	LR: 0.100000
Training Epoch: 4 [40448/47500]	Loss: 0.8544	LR: 0.100000
Training Epoch: 4 [40704/47500]	Loss: 0.7821	LR: 0.100000
Training Epoch: 4 [40960/47500]	Loss: 0.9001	LR: 0.100000
Training Epoch: 4 [41216/47500]	Loss: 0.8630	LR: 0.100000
Training Epoch: 4 [41472/47500]	Loss: 0.8224	LR: 0.100000
Training Epoch: 4 [41728/47500]	Loss: 0.7650	LR: 0.100000
Training Epoch: 4 [41984/47500]	Loss: 0.8023	LR: 0.100000
Training Epoch: 4 [42240/47500]	Loss: 0.7735	LR: 0.100000
Training Epoch: 4 [42496/47500]	Loss: 0.8817	LR: 0.100000
Training Epoch: 4 [42752/47500]	Loss: 0.8778	LR: 0.100000
Training Epoch: 4 [43008/47500]	Loss: 0.7115	LR: 0.100000
Training Epoch: 4 [43264/47500]	Loss: 0.7984	LR: 0.100000
Training Epoch: 4 [43520/47500]	Loss: 0.7346	LR: 0.100000
Training Epoch: 4 [43776/47500]	Loss: 0.7540	LR: 0.100000
Training Epoch: 4 [44032/47500]	Loss: 0.9288	LR: 0.100000
Training Epoch: 4 [44288/47500]	Loss: 0.7935	LR: 0.100000
Training Epoch: 4 [44544/47500]	Loss: 0.7068	LR: 0.100000
Training Epoch: 4 [44800/47500]	Loss: 0.7807	LR: 0.100000
Training Epoch: 4 [45056/47500]	Loss: 0.7914	LR: 0.100000
Training Epoch: 4 [45312/47500]	Loss: 0.7239	LR: 0.100000
Training Epoch: 4 [45568/47500]	Loss: 0.9046	LR: 0.100000
Training Epoch: 4 [45824/47500]	Loss: 0.8473	LR: 0.100000
Training Epoch: 4 [46080/47500]	Loss: 0.8319	LR: 0.100000
Training Epoch: 4 [46336/47500]	Loss: 0.7579	LR: 0.100000
Training Epoch: 4 [46592/47500]	Loss: 0.7492	LR: 0.100000
Training Epoch: 4 [46848/47500]	Loss: 0.7891	LR: 0.100000
Training Epoch: 4 [47104/47500]	Loss: 0.7673	LR: 0.100000
Training Epoch: 4 [47360/47500]	Loss: 0.7452	LR: 0.100000
Training Epoch: 4 [47500/47500]	Loss: 0.7778	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8550, Train Accuracy: 0.6969
Epoch 4 training time consumed: 26.40s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0040, Accuracy: 0.6570, Time consumed:0.91s
Training Epoch: 5 [256/47500]	Loss: 0.7326	LR: 0.100000
Training Epoch: 5 [512/47500]	Loss: 0.7195	LR: 0.100000
Training Epoch: 5 [768/47500]	Loss: 0.8679	LR: 0.100000
Training Epoch: 5 [1024/47500]	Loss: 0.7541	LR: 0.100000
Training Epoch: 5 [1280/47500]	Loss: 0.6949	LR: 0.100000
Training Epoch: 5 [1536/47500]	Loss: 0.6596	LR: 0.100000
Training Epoch: 5 [1792/47500]	Loss: 0.7977	LR: 0.100000
Training Epoch: 5 [2048/47500]	Loss: 0.8339	LR: 0.100000
Training Epoch: 5 [2304/47500]	Loss: 0.8099	LR: 0.100000
Training Epoch: 5 [2560/47500]	Loss: 0.7771	LR: 0.100000
Training Epoch: 5 [2816/47500]	Loss: 0.7829	LR: 0.100000
Training Epoch: 5 [3072/47500]	Loss: 0.7372	LR: 0.100000
Training Epoch: 5 [3328/47500]	Loss: 0.7345	LR: 0.100000
Training Epoch: 5 [3584/47500]	Loss: 0.7911	LR: 0.100000
Training Epoch: 5 [3840/47500]	Loss: 0.8706	LR: 0.100000
Training Epoch: 5 [4096/47500]	Loss: 0.7979	LR: 0.100000
Training Epoch: 5 [4352/47500]	Loss: 0.8013	LR: 0.100000
Training Epoch: 5 [4608/47500]	Loss: 0.8226	LR: 0.100000
Training Epoch: 5 [4864/47500]	Loss: 0.7153	LR: 0.100000
Training Epoch: 5 [5120/47500]	Loss: 0.6946	LR: 0.100000
Training Epoch: 5 [5376/47500]	Loss: 0.8067	LR: 0.100000
Training Epoch: 5 [5632/47500]	Loss: 0.7794	LR: 0.100000
Training Epoch: 5 [5888/47500]	Loss: 0.7411	LR: 0.100000
Training Epoch: 5 [6144/47500]	Loss: 0.6960	LR: 0.100000
Training Epoch: 5 [6400/47500]	Loss: 0.8419	LR: 0.100000
Training Epoch: 5 [6656/47500]	Loss: 0.8107	LR: 0.100000
Training Epoch: 5 [6912/47500]	Loss: 0.7981	LR: 0.100000
Training Epoch: 5 [7168/47500]	Loss: 0.8400	LR: 0.100000
Training Epoch: 5 [7424/47500]	Loss: 0.8304	LR: 0.100000
Training Epoch: 5 [7680/47500]	Loss: 0.7844	LR: 0.100000
Training Epoch: 5 [7936/47500]	Loss: 0.8975	LR: 0.100000
Training Epoch: 5 [8192/47500]	Loss: 0.7018	LR: 0.100000
Training Epoch: 5 [8448/47500]	Loss: 0.7774	LR: 0.100000
Training Epoch: 5 [8704/47500]	Loss: 0.7778	LR: 0.100000
Training Epoch: 5 [8960/47500]	Loss: 0.7179	LR: 0.100000
Training Epoch: 5 [9216/47500]	Loss: 0.8236	LR: 0.100000
Training Epoch: 5 [9472/47500]	Loss: 0.7484	LR: 0.100000
Training Epoch: 5 [9728/47500]	Loss: 0.7506	LR: 0.100000
Training Epoch: 5 [9984/47500]	Loss: 0.8891	LR: 0.100000
Training Epoch: 5 [10240/47500]	Loss: 0.7386	LR: 0.100000
Training Epoch: 5 [10496/47500]	Loss: 0.6927	LR: 0.100000
Training Epoch: 5 [10752/47500]	Loss: 0.7795	LR: 0.100000
Training Epoch: 5 [11008/47500]	Loss: 0.8588	LR: 0.100000
Training Epoch: 5 [11264/47500]	Loss: 0.8099	LR: 0.100000
Training Epoch: 5 [11520/47500]	Loss: 0.7338	LR: 0.100000
Training Epoch: 5 [11776/47500]	Loss: 0.7623	LR: 0.100000
Training Epoch: 5 [12032/47500]	Loss: 0.7585	LR: 0.100000
Training Epoch: 5 [12288/47500]	Loss: 0.8232	LR: 0.100000
Training Epoch: 5 [12544/47500]	Loss: 0.8085	LR: 0.100000
Training Epoch: 5 [12800/47500]	Loss: 0.7240	LR: 0.100000
Training Epoch: 5 [13056/47500]	Loss: 0.7229	LR: 0.100000
Training Epoch: 5 [13312/47500]	Loss: 0.6893	LR: 0.100000
Training Epoch: 5 [13568/47500]	Loss: 0.5998	LR: 0.100000
Training Epoch: 5 [13824/47500]	Loss: 0.6547	LR: 0.100000
Training Epoch: 5 [14080/47500]	Loss: 0.7382	LR: 0.100000
Training Epoch: 5 [14336/47500]	Loss: 0.7494	LR: 0.100000
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Training Epoch: 5 [15616/47500]	Loss: 0.8465	LR: 0.100000
Training Epoch: 5 [15872/47500]	Loss: 0.7019	LR: 0.100000
Training Epoch: 5 [16128/47500]	Loss: 0.6966	LR: 0.100000
Training Epoch: 5 [16384/47500]	Loss: 0.8259	LR: 0.100000
Training Epoch: 5 [16640/47500]	Loss: 0.7520	LR: 0.100000
Training Epoch: 5 [16896/47500]	Loss: 0.7605	LR: 0.100000
Training Epoch: 5 [17152/47500]	Loss: 0.7568	LR: 0.100000
Training Epoch: 5 [17408/47500]	Loss: 0.8588	LR: 0.100000
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Training Epoch: 5 [17920/47500]	Loss: 0.8543	LR: 0.100000
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Training Epoch: 5 [19200/47500]	Loss: 0.8263	LR: 0.100000
Training Epoch: 5 [19456/47500]	Loss: 0.7303	LR: 0.100000
Training Epoch: 5 [19712/47500]	Loss: 0.7144	LR: 0.100000
Training Epoch: 5 [19968/47500]	Loss: 0.7604	LR: 0.100000
Training Epoch: 5 [20224/47500]	Loss: 0.6215	LR: 0.100000
Training Epoch: 5 [20480/47500]	Loss: 0.7074	LR: 0.100000
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Training Epoch: 5 [20992/47500]	Loss: 0.7341	LR: 0.100000
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Training Epoch: 5 [22528/47500]	Loss: 0.7725	LR: 0.100000
Training Epoch: 5 [22784/47500]	Loss: 0.8021	LR: 0.100000
Training Epoch: 5 [23040/47500]	Loss: 0.7213	LR: 0.100000
Training Epoch: 5 [23296/47500]	Loss: 0.7497	LR: 0.100000
Training Epoch: 5 [23552/47500]	Loss: 0.7382	LR: 0.100000
Training Epoch: 5 [23808/47500]	Loss: 0.6966	LR: 0.100000
Training Epoch: 5 [24064/47500]	Loss: 0.7504	LR: 0.100000
Training Epoch: 5 [24320/47500]	Loss: 0.7433	LR: 0.100000
Training Epoch: 5 [24576/47500]	Loss: 0.8994	LR: 0.100000
Training Epoch: 5 [24832/47500]	Loss: 0.7170	LR: 0.100000
Training Epoch: 5 [25088/47500]	Loss: 0.7423	LR: 0.100000
Training Epoch: 5 [25344/47500]	Loss: 0.7759	LR: 0.100000
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Training Epoch: 5 [26368/47500]	Loss: 0.9635	LR: 0.100000
Training Epoch: 5 [26624/47500]	Loss: 0.8068	LR: 0.100000
Training Epoch: 5 [26880/47500]	Loss: 0.6944	LR: 0.100000
Training Epoch: 5 [27136/47500]	Loss: 0.7078	LR: 0.100000
Training Epoch: 5 [27392/47500]	Loss: 0.8361	LR: 0.100000
Training Epoch: 5 [27648/47500]	Loss: 0.7553	LR: 0.100000
Training Epoch: 5 [27904/47500]	Loss: 0.8591	LR: 0.100000
Training Epoch: 5 [28160/47500]	Loss: 0.7776	LR: 0.100000
Training Epoch: 5 [28416/47500]	Loss: 0.9028	LR: 0.100000
Training Epoch: 5 [28672/47500]	Loss: 0.8469	LR: 0.100000
Training Epoch: 5 [28928/47500]	Loss: 0.7713	LR: 0.100000
Training Epoch: 5 [29184/47500]	Loss: 0.9561	LR: 0.100000
Training Epoch: 5 [29440/47500]	Loss: 0.6456	LR: 0.100000
Training Epoch: 5 [29696/47500]	Loss: 0.7876	LR: 0.100000
Training Epoch: 5 [29952/47500]	Loss: 0.6696	LR: 0.100000
Training Epoch: 5 [30208/47500]	Loss: 0.7173	LR: 0.100000
Training Epoch: 5 [30464/47500]	Loss: 0.7377	LR: 0.100000
Training Epoch: 5 [30720/47500]	Loss: 0.7476	LR: 0.100000
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Epoch 5 - Average Train Loss: 0.7544, Train Accuracy: 0.7379
Epoch 5 training time consumed: 26.47s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0027, Accuracy: 0.7630, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.6393	LR: 0.100000
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Training Epoch: 6 [47500/47500]	Loss: 0.7703	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6772, Train Accuracy: 0.7642
Epoch 6 training time consumed: 26.44s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.7629, Time consumed:1.02s
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Training Epoch: 7 [11264/47500]	Loss: 0.5869	LR: 0.100000
Training Epoch: 7 [11520/47500]	Loss: 0.6590	LR: 0.100000
Training Epoch: 7 [11776/47500]	Loss: 0.5793	LR: 0.100000
Training Epoch: 7 [12032/47500]	Loss: 0.6621	LR: 0.100000
Training Epoch: 7 [12288/47500]	Loss: 0.5669	LR: 0.100000
Training Epoch: 7 [12544/47500]	Loss: 0.7087	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.6435	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.7279	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.6789	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.6334	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.6433	LR: 0.100000
Training Epoch: 7 [14080/47500]	Loss: 0.5897	LR: 0.100000
Training Epoch: 7 [14336/47500]	Loss: 0.6394	LR: 0.100000
Training Epoch: 7 [14592/47500]	Loss: 0.5450	LR: 0.100000
Training Epoch: 7 [14848/47500]	Loss: 0.6525	LR: 0.100000
Training Epoch: 7 [15104/47500]	Loss: 0.5535	LR: 0.100000
Training Epoch: 7 [15360/47500]	Loss: 0.5436	LR: 0.100000
Training Epoch: 7 [15616/47500]	Loss: 0.6090	LR: 0.100000
Training Epoch: 7 [15872/47500]	Loss: 0.6857	LR: 0.100000
Training Epoch: 7 [16128/47500]	Loss: 0.7692	LR: 0.100000
Training Epoch: 7 [16384/47500]	Loss: 0.5948	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.6373	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.6851	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.6272	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.6112	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.5948	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.6059	LR: 0.100000
Training Epoch: 7 [18176/47500]	Loss: 0.6489	LR: 0.100000
Training Epoch: 7 [18432/47500]	Loss: 0.6511	LR: 0.100000
Training Epoch: 7 [18688/47500]	Loss: 0.5664	LR: 0.100000
Training Epoch: 7 [18944/47500]	Loss: 0.6147	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.5826	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.7013	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.6707	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.7418	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.6363	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.6580	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.5525	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.6422	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.5971	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.6293	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.6182	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.6448	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.5495	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.7108	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.6126	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.6443	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.7412	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.5268	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.6096	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.6130	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.7191	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.6877	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.6468	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.6042	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.5434	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.6889	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.6799	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.6715	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.6858	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.6298	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.7711	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.6716	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.5704	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.6948	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.6778	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.6947	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.6310	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.6308	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.6310	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.6528	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.8666	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.7118	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.6554	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.6295	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.6137	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.6288	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.7002	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.7124	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.7851	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.7170	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.5985	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.6859	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.6790	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.6973	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.6639	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.6446	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.5698	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.6373	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.6408	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.5804	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6150	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.6515	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.6920	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.7290	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5625	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.5834	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.6312	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.6171	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.6368	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.6051	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.5934	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.6212	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.5390	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.5764	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.6610	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.6929	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.6424	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.6941	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.5477	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.6066	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.5467	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.6222	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.6332	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.5808	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.6306	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.5512	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.6751	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.6037	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.5875	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.5927	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.6562	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.6413	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.6966	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.5999	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.6220	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.6608	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.5738	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.5656	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.5746	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.6471	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.6735	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.5668	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.6369	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.6629	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.5638	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.6986	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.5994	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.6401	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.5753	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.6291	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.6798	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.4658	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6358, Train Accuracy: 0.7812
Epoch 7 training time consumed: 26.52s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0028, Accuracy: 0.7622, Time consumed:0.98s
Training Epoch: 8 [256/47500]	Loss: 0.5415	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.5532	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.6168	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.6146	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.4817	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.5955	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.5872	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.4612	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.4827	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.5462	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.5326	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.5438	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.4641	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.5678	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.5234	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.5544	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.5062	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.4202	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4074	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.5607	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.4415	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4208	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4813	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.5309	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.5517	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.4976	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.5074	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.5935	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.5468	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.5014	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.6139	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.4691	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.5020	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.3675	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.5993	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.4838	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.5159	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.4634	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4429	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.4722	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4733	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.4722	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.4019	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.4431	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.5237	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4769	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.5933	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.3899	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.5439	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.5683	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4813	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4414	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.3939	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.5157	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.5555	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.5814	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.5549	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.4168	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4965	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.5467	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.5681	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.4356	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.5044	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.4322	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.5362	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4471	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.4644	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.4684	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.5066	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4984	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4644	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.5423	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4135	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.5224	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.5788	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.4617	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.4355	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.4947	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.4040	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.4368	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4794	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.5069	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.4526	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.5571	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.5193	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.3985	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.4912	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.4598	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.4875	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.4566	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4735	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4237	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.5035	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.4263	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.5065	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.5219	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.5235	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4803	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4940	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.4380	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.6197	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.4389	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.4430	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4348	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.5104	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.3907	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.5345	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4255	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.5029	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.4689	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.4613	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.4345	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.4470	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.4870	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.4296	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.4890	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.4603	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.4411	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.4820	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 8 [38144/47500]	Loss: 0.4637	LR: 0.020000
Training Epoch: 8 [38400/47500]	Loss: 0.4734	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.4133	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4830, Train Accuracy: 0.8337
Epoch 8 training time consumed: 26.58s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0020, Accuracy: 0.8320, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4012	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.4609	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4419, Train Accuracy: 0.8480
Epoch 9 training time consumed: 26.48s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8431, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.4274	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.5047	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4227, Train Accuracy: 0.8551
Epoch 10 training time consumed: 26.44s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8538, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-10-best.pth
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Training Epoch: 11 [47500/47500]	Loss: 0.4141	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4003, Train Accuracy: 0.8630
Epoch 11 training time consumed: 26.52s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0019, Accuracy: 0.8377, Time consumed:0.96s
Training Epoch: 12 [256/47500]	Loss: 0.3678	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.3842	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3289	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3580, Train Accuracy: 0.8777
Epoch 12 training time consumed: 26.39s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8666, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.4022	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.3034	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3436, Train Accuracy: 0.8811
Epoch 13 training time consumed: 26.42s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8674, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 0.4277	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3356, Train Accuracy: 0.8867
Epoch 14 training time consumed: 26.43s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8724, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.3845	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.3198	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3296, Train Accuracy: 0.8882
Epoch 15 training time consumed: 26.41s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8739, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.3175	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.3445	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3221, Train Accuracy: 0.8877
Epoch 16 training time consumed: 26.53s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8785, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.3256	LR: 0.000800
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Training Epoch: 17 [45568/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.2700	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.3379	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.3579	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3121, Train Accuracy: 0.8923
Epoch 17 training time consumed: 26.37s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8768, Time consumed:0.89s
Training Epoch: 18 [256/47500]	Loss: 0.3283	LR: 0.000800
Training Epoch: 18 [512/47500]	Loss: 0.3397	LR: 0.000800
Training Epoch: 18 [768/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 18 [1024/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 18 [1280/47500]	Loss: 0.2799	LR: 0.000800
Training Epoch: 18 [1536/47500]	Loss: 0.3245	LR: 0.000800
Training Epoch: 18 [1792/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 18 [2048/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 18 [2304/47500]	Loss: 0.2559	LR: 0.000800
Training Epoch: 18 [2560/47500]	Loss: 0.2300	LR: 0.000800
Training Epoch: 18 [2816/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 18 [3072/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 18 [3328/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 18 [3584/47500]	Loss: 0.3382	LR: 0.000800
Training Epoch: 18 [3840/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 18 [4096/47500]	Loss: 0.3256	LR: 0.000800
Training Epoch: 18 [4352/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 18 [4608/47500]	Loss: 0.3789	LR: 0.000800
Training Epoch: 18 [4864/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 18 [5120/47500]	Loss: 0.3259	LR: 0.000800
Training Epoch: 18 [5376/47500]	Loss: 0.3908	LR: 0.000800
Training Epoch: 18 [5632/47500]	Loss: 0.3377	LR: 0.000800
Training Epoch: 18 [5888/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 18 [6144/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 18 [6400/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 18 [6656/47500]	Loss: 0.3195	LR: 0.000800
Training Epoch: 18 [6912/47500]	Loss: 0.3863	LR: 0.000800
Training Epoch: 18 [7168/47500]	Loss: 0.3285	LR: 0.000800
Training Epoch: 18 [7424/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 18 [7680/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 18 [7936/47500]	Loss: 0.3879	LR: 0.000800
Training Epoch: 18 [8192/47500]	Loss: 0.4094	LR: 0.000800
Training Epoch: 18 [8448/47500]	Loss: 0.2522	LR: 0.000800
Training Epoch: 18 [8704/47500]	Loss: 0.2590	LR: 0.000800
Training Epoch: 18 [8960/47500]	Loss: 0.2713	LR: 0.000800
Training Epoch: 18 [9216/47500]	Loss: 0.3275	LR: 0.000800
Training Epoch: 18 [9472/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 18 [9728/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 18 [9984/47500]	Loss: 0.3203	LR: 0.000800
Training Epoch: 18 [10240/47500]	Loss: 0.3394	LR: 0.000800
Training Epoch: 18 [10496/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 18 [10752/47500]	Loss: 0.3488	LR: 0.000800
Training Epoch: 18 [11008/47500]	Loss: 0.3283	LR: 0.000800
Training Epoch: 18 [11264/47500]	Loss: 0.3429	LR: 0.000800
Training Epoch: 18 [11520/47500]	Loss: 0.3645	LR: 0.000800
Training Epoch: 18 [11776/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 18 [12032/47500]	Loss: 0.4067	LR: 0.000800
Training Epoch: 18 [12288/47500]	Loss: 0.3459	LR: 0.000800
Training Epoch: 18 [12544/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 18 [12800/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 18 [13056/47500]	Loss: 0.3441	LR: 0.000800
Training Epoch: 18 [13312/47500]	Loss: 0.3886	LR: 0.000800
Training Epoch: 18 [13568/47500]	Loss: 0.3424	LR: 0.000800
Training Epoch: 18 [13824/47500]	Loss: 0.2655	LR: 0.000800
Training Epoch: 18 [14080/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 18 [14336/47500]	Loss: 0.3147	LR: 0.000800
Training Epoch: 18 [14592/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 18 [14848/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 18 [15104/47500]	Loss: 0.3605	LR: 0.000800
Training Epoch: 18 [15360/47500]	Loss: 0.3517	LR: 0.000800
Training Epoch: 18 [15616/47500]	Loss: 0.2973	LR: 0.000800
Training Epoch: 18 [15872/47500]	Loss: 0.2492	LR: 0.000800
Training Epoch: 18 [16128/47500]	Loss: 0.3902	LR: 0.000800
Training Epoch: 18 [16384/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 18 [16640/47500]	Loss: 0.3612	LR: 0.000800
Training Epoch: 18 [16896/47500]	Loss: 0.4017	LR: 0.000800
Training Epoch: 18 [17152/47500]	Loss: 0.3300	LR: 0.000800
Training Epoch: 18 [17408/47500]	Loss: 0.3554	LR: 0.000800
Training Epoch: 18 [17664/47500]	Loss: 0.2480	LR: 0.000800
Training Epoch: 18 [17920/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 18 [18176/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 18 [18432/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 18 [18688/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 18 [18944/47500]	Loss: 0.3131	LR: 0.000800
Training Epoch: 18 [19200/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 18 [19456/47500]	Loss: 0.2938	LR: 0.000800
Training Epoch: 18 [19712/47500]	Loss: 0.3335	LR: 0.000800
Training Epoch: 18 [19968/47500]	Loss: 0.2541	LR: 0.000800
Training Epoch: 18 [20224/47500]	Loss: 0.3274	LR: 0.000800
Training Epoch: 18 [20480/47500]	Loss: 0.3078	LR: 0.000800
Training Epoch: 18 [20736/47500]	Loss: 0.3378	LR: 0.000800
Training Epoch: 18 [20992/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 18 [21248/47500]	Loss: 0.2508	LR: 0.000800
Training Epoch: 18 [21504/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 18 [21760/47500]	Loss: 0.2382	LR: 0.000800
Training Epoch: 18 [22016/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 18 [22272/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 18 [22528/47500]	Loss: 0.3363	LR: 0.000800
Training Epoch: 18 [22784/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 18 [23040/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 18 [23296/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 18 [23552/47500]	Loss: 0.2758	LR: 0.000800
Training Epoch: 18 [23808/47500]	Loss: 0.3653	LR: 0.000800
Training Epoch: 18 [24064/47500]	Loss: 0.2960	LR: 0.000800
Training Epoch: 18 [24320/47500]	Loss: 0.3520	LR: 0.000800
Training Epoch: 18 [24576/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 18 [24832/47500]	Loss: 0.2353	LR: 0.000800
Training Epoch: 18 [25088/47500]	Loss: 0.3275	LR: 0.000800
Training Epoch: 18 [25344/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 18 [25600/47500]	Loss: 0.2421	LR: 0.000800
Training Epoch: 18 [25856/47500]	Loss: 0.3525	LR: 0.000800
Training Epoch: 18 [26112/47500]	Loss: 0.3207	LR: 0.000800
Training Epoch: 18 [26368/47500]	Loss: 0.3114	LR: 0.000800
Training Epoch: 18 [26624/47500]	Loss: 0.3675	LR: 0.000800
Training Epoch: 18 [26880/47500]	Loss: 0.3395	LR: 0.000800
Training Epoch: 18 [27136/47500]	Loss: 0.3291	LR: 0.000800
Training Epoch: 18 [27392/47500]	Loss: 0.3485	LR: 0.000800
Training Epoch: 18 [27648/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [27904/47500]	Loss: 0.3825	LR: 0.000800
Training Epoch: 18 [28160/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 18 [28416/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 18 [28672/47500]	Loss: 0.3696	LR: 0.000800
Training Epoch: 18 [28928/47500]	Loss: 0.3413	LR: 0.000800
Training Epoch: 18 [29184/47500]	Loss: 0.3920	LR: 0.000800
Training Epoch: 18 [29440/47500]	Loss: 0.3921	LR: 0.000800
Training Epoch: 18 [29696/47500]	Loss: 0.2310	LR: 0.000800
Training Epoch: 18 [29952/47500]	Loss: 0.3224	LR: 0.000800
Training Epoch: 18 [30208/47500]	Loss: 0.3129	LR: 0.000800
Training Epoch: 18 [30464/47500]	Loss: 0.3029	LR: 0.000800
Training Epoch: 18 [30720/47500]	Loss: 0.3120	LR: 0.000800
Training Epoch: 18 [30976/47500]	Loss: 0.2772	LR: 0.000800
Training Epoch: 18 [31232/47500]	Loss: 0.3265	LR: 0.000800
Training Epoch: 18 [31488/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 18 [31744/47500]	Loss: 0.3117	LR: 0.000800
Training Epoch: 18 [32000/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 18 [32256/47500]	Loss: 0.3558	LR: 0.000800
Training Epoch: 18 [32512/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 18 [32768/47500]	Loss: 0.3288	LR: 0.000800
Training Epoch: 18 [33024/47500]	Loss: 0.3981	LR: 0.000800
Training Epoch: 18 [33280/47500]	Loss: 0.3363	LR: 0.000800
Training Epoch: 18 [33536/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 18 [33792/47500]	Loss: 0.3419	LR: 0.000800
Training Epoch: 18 [34048/47500]	Loss: 0.3325	LR: 0.000800
Training Epoch: 18 [34304/47500]	Loss: 0.3648	LR: 0.000800
Training Epoch: 18 [34560/47500]	Loss: 0.2265	LR: 0.000800
Training Epoch: 18 [34816/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 18 [35072/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 18 [35328/47500]	Loss: 0.3540	LR: 0.000800
Training Epoch: 18 [35584/47500]	Loss: 0.3313	LR: 0.000800
Training Epoch: 18 [35840/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 18 [36096/47500]	Loss: 0.3268	LR: 0.000800
Training Epoch: 18 [36352/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 18 [36608/47500]	Loss: 0.2968	LR: 0.000800
Training Epoch: 18 [36864/47500]	Loss: 0.4214	LR: 0.000800
Training Epoch: 18 [37120/47500]	Loss: 0.3505	LR: 0.000800
Training Epoch: 18 [37376/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 18 [37632/47500]	Loss: 0.4413	LR: 0.000800
Training Epoch: 18 [37888/47500]	Loss: 0.3312	LR: 0.000800
Training Epoch: 18 [38144/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 18 [38400/47500]	Loss: 0.2282	LR: 0.000800
Training Epoch: 18 [38656/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 18 [38912/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 18 [39168/47500]	Loss: 0.2855	LR: 0.000800
Training Epoch: 18 [39424/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 18 [39680/47500]	Loss: 0.3914	LR: 0.000800
Training Epoch: 18 [39936/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 18 [40192/47500]	Loss: 0.3612	LR: 0.000800
Training Epoch: 18 [40448/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 18 [40704/47500]	Loss: 0.3160	LR: 0.000800
Training Epoch: 18 [40960/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 18 [41216/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 18 [41472/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 18 [41728/47500]	Loss: 0.3329	LR: 0.000800
Training Epoch: 18 [41984/47500]	Loss: 0.2020	LR: 0.000800
Training Epoch: 18 [42240/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 18 [42496/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 18 [42752/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 18 [43008/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 18 [43264/47500]	Loss: 0.3553	LR: 0.000800
Training Epoch: 18 [43520/47500]	Loss: 0.3539	LR: 0.000800
Training Epoch: 18 [43776/47500]	Loss: 0.3339	LR: 0.000800
Training Epoch: 18 [44032/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 18 [44288/47500]	Loss: 0.3737	LR: 0.000800
Training Epoch: 18 [44544/47500]	Loss: 0.2100	LR: 0.000800
Training Epoch: 18 [44800/47500]	Loss: 0.3213	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.3406	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.3376	LR: 0.000800
Training Epoch: 18 [45568/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.3803	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.2335	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.3231	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.3200	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.3658	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.3236	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.3441	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3125, Train Accuracy: 0.8947
Epoch 18 training time consumed: 26.29s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8772, Time consumed:0.97s
Training Epoch: 19 [256/47500]	Loss: 0.3949	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.3418	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2472	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2924	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.3435	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.3419	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 19 [3328/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 19 [3584/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.3443	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 19 [4352/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 19 [4608/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.2921	LR: 0.000800
Training Epoch: 19 [5120/47500]	Loss: 0.3439	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.3285	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.3270	LR: 0.000800
Training Epoch: 19 [5888/47500]	Loss: 0.3490	LR: 0.000800
Training Epoch: 19 [6144/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 19 [6400/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 19 [6656/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 19 [6912/47500]	Loss: 0.3337	LR: 0.000800
Training Epoch: 19 [7168/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 19 [7424/47500]	Loss: 0.3123	LR: 0.000800
Training Epoch: 19 [7680/47500]	Loss: 0.2955	LR: 0.000800
Training Epoch: 19 [7936/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 19 [8192/47500]	Loss: 0.3498	LR: 0.000800
Training Epoch: 19 [8448/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 19 [8704/47500]	Loss: 0.3685	LR: 0.000800
Training Epoch: 19 [8960/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 19 [9216/47500]	Loss: 0.2442	LR: 0.000800
Training Epoch: 19 [9472/47500]	Loss: 0.3131	LR: 0.000800
Training Epoch: 19 [9728/47500]	Loss: 0.3534	LR: 0.000800
Training Epoch: 19 [9984/47500]	Loss: 0.3200	LR: 0.000800
Training Epoch: 19 [10240/47500]	Loss: 0.3795	LR: 0.000800
Training Epoch: 19 [10496/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 19 [10752/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 19 [11008/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 19 [11264/47500]	Loss: 0.3184	LR: 0.000800
Training Epoch: 19 [11520/47500]	Loss: 0.3795	LR: 0.000800
Training Epoch: 19 [11776/47500]	Loss: 0.3100	LR: 0.000800
Training Epoch: 19 [12032/47500]	Loss: 0.2678	LR: 0.000800
Training Epoch: 19 [12288/47500]	Loss: 0.3332	LR: 0.000800
Training Epoch: 19 [12544/47500]	Loss: 0.3198	LR: 0.000800
Training Epoch: 19 [12800/47500]	Loss: 0.3415	LR: 0.000800
Training Epoch: 19 [13056/47500]	Loss: 0.2855	LR: 0.000800
Training Epoch: 19 [13312/47500]	Loss: 0.3653	LR: 0.000800
Training Epoch: 19 [13568/47500]	Loss: 0.3752	LR: 0.000800
Training Epoch: 19 [13824/47500]	Loss: 0.3525	LR: 0.000800
Training Epoch: 19 [14080/47500]	Loss: 0.3217	LR: 0.000800
Training Epoch: 19 [14336/47500]	Loss: 0.3975	LR: 0.000800
Training Epoch: 19 [14592/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 19 [14848/47500]	Loss: 0.3505	LR: 0.000800
Training Epoch: 19 [15104/47500]	Loss: 0.3684	LR: 0.000800
Training Epoch: 19 [15360/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [15616/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 19 [15872/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 19 [16128/47500]	Loss: 0.3868	LR: 0.000800
Training Epoch: 19 [16384/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [16640/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 19 [16896/47500]	Loss: 0.3217	LR: 0.000800
Training Epoch: 19 [17152/47500]	Loss: 0.3824	LR: 0.000800
Training Epoch: 19 [17408/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 19 [17664/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 19 [17920/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 19 [18176/47500]	Loss: 0.3653	LR: 0.000800
Training Epoch: 19 [18432/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 19 [18688/47500]	Loss: 0.3932	LR: 0.000800
Training Epoch: 19 [18944/47500]	Loss: 0.3803	LR: 0.000800
Training Epoch: 19 [19200/47500]	Loss: 0.3237	LR: 0.000800
Training Epoch: 19 [19456/47500]	Loss: 0.2214	LR: 0.000800
Training Epoch: 19 [19712/47500]	Loss: 0.3114	LR: 0.000800
Training Epoch: 19 [19968/47500]	Loss: 0.2742	LR: 0.000800
Training Epoch: 19 [20224/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 19 [20480/47500]	Loss: 0.2855	LR: 0.000800
Training Epoch: 19 [20736/47500]	Loss: 0.3575	LR: 0.000800
Training Epoch: 19 [20992/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [21248/47500]	Loss: 0.3678	LR: 0.000800
Training Epoch: 19 [21504/47500]	Loss: 0.3186	LR: 0.000800
Training Epoch: 19 [21760/47500]	Loss: 0.3084	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.3906	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.3344	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.3256	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2403	LR: 0.000800
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Training Epoch: 19 [47360/47500]	Loss: 0.3534	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3216	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3121, Train Accuracy: 0.8944
Epoch 19 training time consumed: 26.84s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8796, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_38m_01s/AllCNN-Cifar10-seed7-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.2716	LR: 0.000800
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Training Epoch: 20 [46592/47500]	Loss: 0.3610	LR: 0.000800
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Training Epoch: 20 [47360/47500]	Loss: 0.3361	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.3053	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3091, Train Accuracy: 0.8946
Epoch 20 training time consumed: 26.52s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8778, Time consumed:0.91s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 87.919921875
Retain Accuracy: 89.8386459350586
Zero-Retain Forget (ZRF): 0.855154812335968
Membership Inference Attack (MIA): 0.4236
Forget vs Retain Membership Inference Attack (MIA): 0.488
Forget vs Test Membership Inference Attack (MIA): 0.57
Test vs Retain Membership Inference Attack (MIA): 0.5105
Train vs Test Membership Inference Attack (MIA): 0.5185
Forget Set Accuracy (Df): 88.19515228271484
Method Execution Time: 1050.99 seconds
