hello
hello

📌 Retain class distribution for seed 4:
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 4:
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: 2.3106	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3385	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3138	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.2990	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3409	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.3110	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.2989	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2642	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2525	LR: 0.004839
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Training Epoch: 1 [9728/47500]	Loss: 1.7227	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.7941	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.7818	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.7793	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.7525	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.7456	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7171	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7319	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.8337	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.6821	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.7556	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.7557	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.8400	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.8067	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7539	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7686	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.6669	LR: 0.028495
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Training Epoch: 1 [14336/47500]	Loss: 1.7985	LR: 0.029570
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Training Epoch: 1 [16384/47500]	Loss: 1.6428	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6852	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.6163	LR: 0.034946
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Training Epoch: 1 [22272/47500]	Loss: 1.5543	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.6389	LR: 0.046774
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Training Epoch: 1 [24320/47500]	Loss: 1.5717	LR: 0.050538
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Training Epoch: 1 [24832/47500]	Loss: 1.5403	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.6030	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.4700	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.5604	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.5054	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.4593	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.6209	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.4396	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.4831	LR: 0.055914
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Training Epoch: 1 [27392/47500]	Loss: 1.4320	LR: 0.056989
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Training Epoch: 1 [27904/47500]	Loss: 1.5949	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.4452	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.4510	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.5211	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.5280	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.5130	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.4847	LR: 0.061290
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Training Epoch: 1 [29952/47500]	Loss: 1.4171	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.5334	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.3433	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.4370	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.3544	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.3647	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.5038	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.5101	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.4171	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.5115	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.4304	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.5076	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.5930	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.4148	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.4383	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.4272	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.5413	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.3856	LR: 0.071505
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Training Epoch: 1 [34816/47500]	Loss: 1.4270	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.4554	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.5160	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.4160	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.3608	LR: 0.074731
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Training Epoch: 1 [36352/47500]	Loss: 1.4884	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.3996	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.3952	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.4575	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.4001	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.5594	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.5541	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4363	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.4065	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.3606	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.2909	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.3922	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.5123	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.3647	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.3394	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.4596	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.4180	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.4511	LR: 0.084946
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Training Epoch: 1 [41216/47500]	Loss: 1.3838	LR: 0.086022
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Training Epoch: 1 [41728/47500]	Loss: 1.4321	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.3860	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4427	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.3435	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.3101	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.3327	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.4016	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.3277	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.3240	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.4237	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.4109	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.3153	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.3418	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.3344	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3825	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.3205	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.4387	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.3908	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.3632	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.5359	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.2579	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.2041	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.3317	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.4619	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6357, Train Accuracy: 0.3942
Epoch 1 training time consumed: 27.04s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0063, Accuracy: 0.4643, Time consumed:1.07s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.4182	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.3296	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.2515	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.3444	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.2610	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.2632	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.4611	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.4527	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.3702	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.3253	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.3990	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.3244	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.5346	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.1594	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.4076	LR: 0.100000
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Training Epoch: 2 [4352/47500]	Loss: 1.3747	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.4338	LR: 0.100000
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Training Epoch: 2 [22528/47500]	Loss: 1.2462	LR: 0.100000
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Training Epoch: 2 [47360/47500]	Loss: 0.9404	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 1.0563	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1946, Train Accuracy: 0.5683
Epoch 2 training time consumed: 26.20s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0046, Accuracy: 0.5949, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.1802	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.9442	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9982, Train Accuracy: 0.6438
Epoch 3 training time consumed: 26.15s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0045, Accuracy: 0.5999, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.9896	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.9095	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.8197	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.9748	LR: 0.100000
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Training Epoch: 4 [1792/47500]	Loss: 0.8351	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 0.6845	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8668, Train Accuracy: 0.6909
Epoch 4 training time consumed: 26.22s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0037, Accuracy: 0.6863, Time consumed:1.02s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-4-best.pth
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Training Epoch: 5 [47500/47500]	Loss: 0.5900	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7696, Train Accuracy: 0.7304
Epoch 5 training time consumed: 26.05s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0032, Accuracy: 0.7239, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.8008	LR: 0.100000
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Epoch 6 - Average Train Loss: 0.6882, Train Accuracy: 0.7592
Epoch 6 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0028, Accuracy: 0.7656, Time consumed:1.03s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.7418	LR: 0.100000
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Training Epoch: 7 [10240/47500]	Loss: 0.6285	LR: 0.100000
Training Epoch: 7 [10496/47500]	Loss: 0.6415	LR: 0.100000
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Training Epoch: 7 [11008/47500]	Loss: 0.6532	LR: 0.100000
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Training Epoch: 7 [11776/47500]	Loss: 0.6354	LR: 0.100000
Training Epoch: 7 [12032/47500]	Loss: 0.5679	LR: 0.100000
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Training Epoch: 7 [12544/47500]	Loss: 0.5486	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.5947	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.6759	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.6746	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.6455	LR: 0.100000
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Training Epoch: 7 [14592/47500]	Loss: 0.6343	LR: 0.100000
Training Epoch: 7 [14848/47500]	Loss: 0.6705	LR: 0.100000
Training Epoch: 7 [15104/47500]	Loss: 0.7944	LR: 0.100000
Training Epoch: 7 [15360/47500]	Loss: 0.5448	LR: 0.100000
Training Epoch: 7 [15616/47500]	Loss: 0.6941	LR: 0.100000
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Training Epoch: 7 [16384/47500]	Loss: 0.6631	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.8023	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.6728	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.7212	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.6238	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.6742	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.6494	LR: 0.100000
Training Epoch: 7 [18176/47500]	Loss: 0.5803	LR: 0.100000
Training Epoch: 7 [18432/47500]	Loss: 0.6734	LR: 0.100000
Training Epoch: 7 [18688/47500]	Loss: 0.7178	LR: 0.100000
Training Epoch: 7 [18944/47500]	Loss: 0.7007	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.6818	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.5401	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.7366	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.6052	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.4694	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.6092	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.6111	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.6100	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.6474	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.5603	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.6029	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.6450	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.6318	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.7194	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.5957	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.6465	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.5521	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.7055	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.5968	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.6793	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.6271	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.7113	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.6458	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.6835	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.6184	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.6672	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.6401	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.6741	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.7016	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.5206	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.6468	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.5605	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.7044	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.7234	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.5369	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.7235	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.5865	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.5261	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.5308	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.6581	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.6300	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.5893	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.5699	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.6211	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.5951	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.6296	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.5470	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.6771	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.6433	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.6059	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.7253	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.7021	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.5691	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.7346	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.6334	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.5812	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.6717	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.5419	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.6073	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.7202	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.5611	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.6468	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.7653	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.6416	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5903	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.6798	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.6199	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.5937	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.6293	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.7035	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.6050	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.6227	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.6146	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.6773	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.5617	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.6941	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.6777	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.5618	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.5729	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.6188	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.5882	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.5626	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.6292	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.5725	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.6003	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.6428	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.5945	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.5548	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.5867	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.5716	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.5977	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.7713	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.6596	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.6260	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.6665	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5372	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.6589	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.6024	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.6443	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.5360	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.6395	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.5487	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.6595	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.7270	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.6866	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.7071	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.7017	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.5667	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.6775	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.6513	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.6197	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.5564	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6409, Train Accuracy: 0.7773
Epoch 7 training time consumed: 26.13s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0030, Accuracy: 0.7449, Time consumed:0.98s
Training Epoch: 8 [256/47500]	Loss: 0.5402	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.5871	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.5063	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.6857	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.6197	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.6119	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.6023	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.5317	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5686	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.5379	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.6084	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.5342	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.5232	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.5208	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.5584	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.4968	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.5175	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.5234	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.5660	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.5078	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.5347	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.4831	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.5786	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4608	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.5458	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4975	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.6088	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.5269	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.5461	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.4545	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.3935	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.5551	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.4808	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4881	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.4442	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.4546	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.5049	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4247	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.5098	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.5225	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.5589	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.5107	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4479	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.4040	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.4658	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.4583	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.5022	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.4950	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.4958	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.5083	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.4918	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.4521	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.4518	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4605	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4455	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.5248	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4570	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.5270	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.5209	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.6228	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.5654	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.3801	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.5385	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.5477	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.5146	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.5083	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.4555	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.5641	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.4508	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4574	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.4575	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.5237	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.4258	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.3794	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.3571	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.5328	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.4661	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.5360	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.5433	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4809	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.5103	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.4649	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4607	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.5524	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4889	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.5223	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.5520	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4726	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.5076	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.3862	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.3918	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.4438	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.4456	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.5010	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.5355	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.4754	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.5772	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.4406	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.5899	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.5117	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.3769	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4715	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.4526	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.5540	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.4512	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.3993	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.5549	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.4382	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4684	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.4257	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.4247	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.5468	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.4606	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.5127	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.4064	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4007	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4548	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4514	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.4420	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4105	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.3556	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.5073	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.4642	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.4178	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.4477	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.5343	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.4963	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.5832	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.5219	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4853, Train Accuracy: 0.8321
Epoch 8 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8453, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4485	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.4582	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4431, Train Accuracy: 0.8471
Epoch 9 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0019, Accuracy: 0.8400, Time consumed:1.00s
Training Epoch: 10 [256/47500]	Loss: 0.4038	LR: 0.020000
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Training Epoch: 10 [14336/47500]	Loss: 0.5043	LR: 0.020000
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Training Epoch: 10 [14848/47500]	Loss: 0.4131	LR: 0.020000
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Training Epoch: 10 [16896/47500]	Loss: 0.3728	LR: 0.020000
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Training Epoch: 10 [20224/47500]	Loss: 0.3916	LR: 0.020000
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Training Epoch: 10 [20736/47500]	Loss: 0.5152	LR: 0.020000
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Training Epoch: 10 [21504/47500]	Loss: 0.4441	LR: 0.020000
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Training Epoch: 10 [22016/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 10 [22272/47500]	Loss: 0.3891	LR: 0.020000
Training Epoch: 10 [22528/47500]	Loss: 0.5758	LR: 0.020000
Training Epoch: 10 [22784/47500]	Loss: 0.4474	LR: 0.020000
Training Epoch: 10 [23040/47500]	Loss: 0.4180	LR: 0.020000
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Training Epoch: 10 [23808/47500]	Loss: 0.4390	LR: 0.020000
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Training Epoch: 10 [24320/47500]	Loss: 0.3286	LR: 0.020000
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Training Epoch: 10 [25600/47500]	Loss: 0.4458	LR: 0.020000
Training Epoch: 10 [25856/47500]	Loss: 0.4923	LR: 0.020000
Training Epoch: 10 [26112/47500]	Loss: 0.4361	LR: 0.020000
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Training Epoch: 10 [27904/47500]	Loss: 0.4416	LR: 0.020000
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Training Epoch: 10 [28416/47500]	Loss: 0.3531	LR: 0.020000
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Training Epoch: 10 [29184/47500]	Loss: 0.3762	LR: 0.020000
Training Epoch: 10 [29440/47500]	Loss: 0.4118	LR: 0.020000
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Training Epoch: 10 [30720/47500]	Loss: 0.4522	LR: 0.020000
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Training Epoch: 10 [31232/47500]	Loss: 0.4502	LR: 0.020000
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Training Epoch: 10 [32000/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 10 [32256/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 10 [32512/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 10 [32768/47500]	Loss: 0.4318	LR: 0.020000
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Training Epoch: 10 [34816/47500]	Loss: 0.4408	LR: 0.020000
Training Epoch: 10 [35072/47500]	Loss: 0.3802	LR: 0.020000
Training Epoch: 10 [35328/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 10 [35584/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.3839	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.4029	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.3875	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.4037	LR: 0.020000
Training Epoch: 10 [36864/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 10 [37120/47500]	Loss: 0.4021	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.4814	LR: 0.020000
Training Epoch: 10 [37632/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 10 [37888/47500]	Loss: 0.3840	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.3823	LR: 0.020000
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Training Epoch: 10 [38656/47500]	Loss: 0.5165	LR: 0.020000
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Training Epoch: 10 [39168/47500]	Loss: 0.3217	LR: 0.020000
Training Epoch: 10 [39424/47500]	Loss: 0.4642	LR: 0.020000
Training Epoch: 10 [39680/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 10 [39936/47500]	Loss: 0.4177	LR: 0.020000
Training Epoch: 10 [40192/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.4409	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.4765	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.3486	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.5113	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.3499	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.3777	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.4704	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.3481	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.3699	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.4385	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.3560	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.4548	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.4938	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.3953	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.4282	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.3733	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.3972	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.4595	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.3491	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.5083	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.3467	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.4226	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.5037	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4209, Train Accuracy: 0.8535
Epoch 10 training time consumed: 26.09s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0019, Accuracy: 0.8424, Time consumed:0.91s
Training Epoch: 11 [256/47500]	Loss: 0.3711	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.3531	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.4667	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.4586	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.4015	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.4087	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.3980	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.4087	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.4274	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.3244	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.3476	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.4052	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.3978	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.3750	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.4029	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.4340	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.3763	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.3853	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.4329	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.4341	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.3334	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.5342	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.3931	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.3623	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.3702	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.3990	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.3714	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.3607	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.4165	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.3472	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.4189	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.4563	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.4126	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.4472	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.4112	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.3004	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.4054	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.4045	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.3526	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.3690	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.3124	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.4041	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.3184	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.3801	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.3690	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.4223	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.3835	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.4244	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.4152	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.3297	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.4296	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.3657	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.3768	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.4476	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.4005	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.4711	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.3701	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.3266	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.4657	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.4079	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.3825	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.3701	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.3977	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3574	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.5375	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.3318	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.5132	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.3978	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.4418	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.3804	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.3904	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.3259	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.3578	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.3419	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.4328	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.4021	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.3939	LR: 0.020000
Training Epoch: 11 [24064/47500]	Loss: 0.3896	LR: 0.020000
Training Epoch: 11 [24320/47500]	Loss: 0.3890	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.3975	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.4354	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.3695	LR: 0.020000
Training Epoch: 11 [25344/47500]	Loss: 0.4629	LR: 0.020000
Training Epoch: 11 [25600/47500]	Loss: 0.4517	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.4083	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.5007	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.4832	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.3823	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.4378	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.4546	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.4250	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.4993	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.3276	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.5179	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.4538	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.4055	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.3444	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.3370	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.4181	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.3737	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.3981	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.3581	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.4775	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.3654	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.4472	LR: 0.020000
Training Epoch: 11 [31488/47500]	Loss: 0.4298	LR: 0.020000
Training Epoch: 11 [31744/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.4472	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.3638	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.5850	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.5146	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.4476	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.3666	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 11 [34048/47500]	Loss: 0.3779	LR: 0.020000
Training Epoch: 11 [34304/47500]	Loss: 0.4922	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.3649	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.4265	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.3239	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.4404	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.4202	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.3852	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.3424	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.3692	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.3497	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.4170	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.4609	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.5277	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.3702	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.4708	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.4148	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.3635	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.3949	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.3862	LR: 0.020000
Training Epoch: 11 [40448/47500]	Loss: 0.4026	LR: 0.020000
Training Epoch: 11 [40704/47500]	Loss: 0.4137	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.3416	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.4224	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4067, Train Accuracy: 0.8603
Epoch 11 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8522, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3531	LR: 0.004000
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Training Epoch: 12 [47500/47500]	Loss: 0.3307	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3566, Train Accuracy: 0.8769
Epoch 12 training time consumed: 26.06s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8731, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.4151	LR: 0.004000
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Training Epoch: 13 [19456/47500]	Loss: 0.3362	LR: 0.004000
Training Epoch: 13 [19712/47500]	Loss: 0.3036	LR: 0.004000
Training Epoch: 13 [19968/47500]	Loss: 0.3335	LR: 0.004000
Training Epoch: 13 [20224/47500]	Loss: 0.3073	LR: 0.004000
Training Epoch: 13 [20480/47500]	Loss: 0.3516	LR: 0.004000
Training Epoch: 13 [20736/47500]	Loss: 0.3898	LR: 0.004000
Training Epoch: 13 [20992/47500]	Loss: 0.3350	LR: 0.004000
Training Epoch: 13 [21248/47500]	Loss: 0.2838	LR: 0.004000
Training Epoch: 13 [21504/47500]	Loss: 0.3344	LR: 0.004000
Training Epoch: 13 [21760/47500]	Loss: 0.2963	LR: 0.004000
Training Epoch: 13 [22016/47500]	Loss: 0.3614	LR: 0.004000
Training Epoch: 13 [22272/47500]	Loss: 0.3962	LR: 0.004000
Training Epoch: 13 [22528/47500]	Loss: 0.3040	LR: 0.004000
Training Epoch: 13 [22784/47500]	Loss: 0.2876	LR: 0.004000
Training Epoch: 13 [23040/47500]	Loss: 0.3545	LR: 0.004000
Training Epoch: 13 [23296/47500]	Loss: 0.2924	LR: 0.004000
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Training Epoch: 13 [23808/47500]	Loss: 0.4192	LR: 0.004000
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Training Epoch: 13 [24320/47500]	Loss: 0.3527	LR: 0.004000
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Training Epoch: 13 [25344/47500]	Loss: 0.3093	LR: 0.004000
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Training Epoch: 13 [25856/47500]	Loss: 0.3177	LR: 0.004000
Training Epoch: 13 [26112/47500]	Loss: 0.3534	LR: 0.004000
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Training Epoch: 13 [28160/47500]	Loss: 0.3845	LR: 0.004000
Training Epoch: 13 [28416/47500]	Loss: 0.4423	LR: 0.004000
Training Epoch: 13 [28672/47500]	Loss: 0.4189	LR: 0.004000
Training Epoch: 13 [28928/47500]	Loss: 0.3507	LR: 0.004000
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Training Epoch: 13 [29440/47500]	Loss: 0.3784	LR: 0.004000
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Training Epoch: 13 [29952/47500]	Loss: 0.3332	LR: 0.004000
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Training Epoch: 13 [30720/47500]	Loss: 0.2661	LR: 0.004000
Training Epoch: 13 [30976/47500]	Loss: 0.3575	LR: 0.004000
Training Epoch: 13 [31232/47500]	Loss: 0.3287	LR: 0.004000
Training Epoch: 13 [31488/47500]	Loss: 0.3419	LR: 0.004000
Training Epoch: 13 [31744/47500]	Loss: 0.3788	LR: 0.004000
Training Epoch: 13 [32000/47500]	Loss: 0.3021	LR: 0.004000
Training Epoch: 13 [32256/47500]	Loss: 0.4111	LR: 0.004000
Training Epoch: 13 [32512/47500]	Loss: 0.4081	LR: 0.004000
Training Epoch: 13 [32768/47500]	Loss: 0.4084	LR: 0.004000
Training Epoch: 13 [33024/47500]	Loss: 0.3052	LR: 0.004000
Training Epoch: 13 [33280/47500]	Loss: 0.3614	LR: 0.004000
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Training Epoch: 13 [34816/47500]	Loss: 0.3962	LR: 0.004000
Training Epoch: 13 [35072/47500]	Loss: 0.3009	LR: 0.004000
Training Epoch: 13 [35328/47500]	Loss: 0.3256	LR: 0.004000
Training Epoch: 13 [35584/47500]	Loss: 0.2135	LR: 0.004000
Training Epoch: 13 [35840/47500]	Loss: 0.3583	LR: 0.004000
Training Epoch: 13 [36096/47500]	Loss: 0.3232	LR: 0.004000
Training Epoch: 13 [36352/47500]	Loss: 0.3153	LR: 0.004000
Training Epoch: 13 [36608/47500]	Loss: 0.3496	LR: 0.004000
Training Epoch: 13 [36864/47500]	Loss: 0.3703	LR: 0.004000
Training Epoch: 13 [37120/47500]	Loss: 0.3147	LR: 0.004000
Training Epoch: 13 [37376/47500]	Loss: 0.3064	LR: 0.004000
Training Epoch: 13 [37632/47500]	Loss: 0.3284	LR: 0.004000
Training Epoch: 13 [37888/47500]	Loss: 0.3531	LR: 0.004000
Training Epoch: 13 [38144/47500]	Loss: 0.4552	LR: 0.004000
Training Epoch: 13 [38400/47500]	Loss: 0.3097	LR: 0.004000
Training Epoch: 13 [38656/47500]	Loss: 0.3334	LR: 0.004000
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Training Epoch: 13 [39168/47500]	Loss: 0.4051	LR: 0.004000
Training Epoch: 13 [39424/47500]	Loss: 0.4292	LR: 0.004000
Training Epoch: 13 [39680/47500]	Loss: 0.3643	LR: 0.004000
Training Epoch: 13 [39936/47500]	Loss: 0.3549	LR: 0.004000
Training Epoch: 13 [40192/47500]	Loss: 0.3815	LR: 0.004000
Training Epoch: 13 [40448/47500]	Loss: 0.3497	LR: 0.004000
Training Epoch: 13 [40704/47500]	Loss: 0.3166	LR: 0.004000
Training Epoch: 13 [40960/47500]	Loss: 0.3256	LR: 0.004000
Training Epoch: 13 [41216/47500]	Loss: 0.2969	LR: 0.004000
Training Epoch: 13 [41472/47500]	Loss: 0.3040	LR: 0.004000
Training Epoch: 13 [41728/47500]	Loss: 0.3054	LR: 0.004000
Training Epoch: 13 [41984/47500]	Loss: 0.3903	LR: 0.004000
Training Epoch: 13 [42240/47500]	Loss: 0.3514	LR: 0.004000
Training Epoch: 13 [42496/47500]	Loss: 0.3656	LR: 0.004000
Training Epoch: 13 [42752/47500]	Loss: 0.3983	LR: 0.004000
Training Epoch: 13 [43008/47500]	Loss: 0.3256	LR: 0.004000
Training Epoch: 13 [43264/47500]	Loss: 0.4689	LR: 0.004000
Training Epoch: 13 [43520/47500]	Loss: 0.3542	LR: 0.004000
Training Epoch: 13 [43776/47500]	Loss: 0.3340	LR: 0.004000
Training Epoch: 13 [44032/47500]	Loss: 0.3592	LR: 0.004000
Training Epoch: 13 [44288/47500]	Loss: 0.2818	LR: 0.004000
Training Epoch: 13 [44544/47500]	Loss: 0.3117	LR: 0.004000
Training Epoch: 13 [44800/47500]	Loss: 0.3344	LR: 0.004000
Training Epoch: 13 [45056/47500]	Loss: 0.3412	LR: 0.004000
Training Epoch: 13 [45312/47500]	Loss: 0.3216	LR: 0.004000
Training Epoch: 13 [45568/47500]	Loss: 0.3632	LR: 0.004000
Training Epoch: 13 [45824/47500]	Loss: 0.3477	LR: 0.004000
Training Epoch: 13 [46080/47500]	Loss: 0.3099	LR: 0.004000
Training Epoch: 13 [46336/47500]	Loss: 0.2985	LR: 0.004000
Training Epoch: 13 [46592/47500]	Loss: 0.3907	LR: 0.004000
Training Epoch: 13 [46848/47500]	Loss: 0.3682	LR: 0.004000
Training Epoch: 13 [47104/47500]	Loss: 0.3412	LR: 0.004000
Training Epoch: 13 [47360/47500]	Loss: 0.3641	LR: 0.004000
Training Epoch: 13 [47500/47500]	Loss: 0.3754	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3444, Train Accuracy: 0.8822
Epoch 13 training time consumed: 26.06s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8680, Time consumed:0.97s
Training Epoch: 14 [256/47500]	Loss: 0.3486	LR: 0.004000
Training Epoch: 14 [512/47500]	Loss: 0.3002	LR: 0.004000
Training Epoch: 14 [768/47500]	Loss: 0.2768	LR: 0.004000
Training Epoch: 14 [1024/47500]	Loss: 0.2828	LR: 0.004000
Training Epoch: 14 [1280/47500]	Loss: 0.2898	LR: 0.004000
Training Epoch: 14 [1536/47500]	Loss: 0.3592	LR: 0.004000
Training Epoch: 14 [1792/47500]	Loss: 0.3892	LR: 0.004000
Training Epoch: 14 [2048/47500]	Loss: 0.3091	LR: 0.004000
Training Epoch: 14 [2304/47500]	Loss: 0.3074	LR: 0.004000
Training Epoch: 14 [2560/47500]	Loss: 0.3189	LR: 0.004000
Training Epoch: 14 [2816/47500]	Loss: 0.2618	LR: 0.004000
Training Epoch: 14 [3072/47500]	Loss: 0.3250	LR: 0.004000
Training Epoch: 14 [3328/47500]	Loss: 0.3544	LR: 0.004000
Training Epoch: 14 [3584/47500]	Loss: 0.3315	LR: 0.004000
Training Epoch: 14 [3840/47500]	Loss: 0.4228	LR: 0.004000
Training Epoch: 14 [4096/47500]	Loss: 0.3040	LR: 0.004000
Training Epoch: 14 [4352/47500]	Loss: 0.3198	LR: 0.004000
Training Epoch: 14 [4608/47500]	Loss: 0.2753	LR: 0.004000
Training Epoch: 14 [4864/47500]	Loss: 0.3634	LR: 0.004000
Training Epoch: 14 [5120/47500]	Loss: 0.3152	LR: 0.004000
Training Epoch: 14 [5376/47500]	Loss: 0.3052	LR: 0.004000
Training Epoch: 14 [5632/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 14 [5888/47500]	Loss: 0.3282	LR: 0.004000
Training Epoch: 14 [6144/47500]	Loss: 0.3189	LR: 0.004000
Training Epoch: 14 [6400/47500]	Loss: 0.4167	LR: 0.004000
Training Epoch: 14 [6656/47500]	Loss: 0.3658	LR: 0.004000
Training Epoch: 14 [6912/47500]	Loss: 0.2973	LR: 0.004000
Training Epoch: 14 [7168/47500]	Loss: 0.4265	LR: 0.004000
Training Epoch: 14 [7424/47500]	Loss: 0.3375	LR: 0.004000
Training Epoch: 14 [7680/47500]	Loss: 0.3272	LR: 0.004000
Training Epoch: 14 [7936/47500]	Loss: 0.3645	LR: 0.004000
Training Epoch: 14 [8192/47500]	Loss: 0.3234	LR: 0.004000
Training Epoch: 14 [8448/47500]	Loss: 0.3894	LR: 0.004000
Training Epoch: 14 [8704/47500]	Loss: 0.2628	LR: 0.004000
Training Epoch: 14 [8960/47500]	Loss: 0.3040	LR: 0.004000
Training Epoch: 14 [9216/47500]	Loss: 0.3463	LR: 0.004000
Training Epoch: 14 [9472/47500]	Loss: 0.3346	LR: 0.004000
Training Epoch: 14 [9728/47500]	Loss: 0.3186	LR: 0.004000
Training Epoch: 14 [9984/47500]	Loss: 0.3996	LR: 0.004000
Training Epoch: 14 [10240/47500]	Loss: 0.4083	LR: 0.004000
Training Epoch: 14 [10496/47500]	Loss: 0.4146	LR: 0.004000
Training Epoch: 14 [10752/47500]	Loss: 0.2612	LR: 0.004000
Training Epoch: 14 [11008/47500]	Loss: 0.3385	LR: 0.004000
Training Epoch: 14 [11264/47500]	Loss: 0.3358	LR: 0.004000
Training Epoch: 14 [11520/47500]	Loss: 0.3459	LR: 0.004000
Training Epoch: 14 [11776/47500]	Loss: 0.2874	LR: 0.004000
Training Epoch: 14 [12032/47500]	Loss: 0.3370	LR: 0.004000
Training Epoch: 14 [12288/47500]	Loss: 0.2999	LR: 0.004000
Training Epoch: 14 [12544/47500]	Loss: 0.4083	LR: 0.004000
Training Epoch: 14 [12800/47500]	Loss: 0.2939	LR: 0.004000
Training Epoch: 14 [13056/47500]	Loss: 0.3376	LR: 0.004000
Training Epoch: 14 [13312/47500]	Loss: 0.3297	LR: 0.004000
Training Epoch: 14 [13568/47500]	Loss: 0.3144	LR: 0.004000
Training Epoch: 14 [13824/47500]	Loss: 0.3249	LR: 0.004000
Training Epoch: 14 [14080/47500]	Loss: 0.3355	LR: 0.004000
Training Epoch: 14 [14336/47500]	Loss: 0.3906	LR: 0.004000
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Training Epoch: 14 [15104/47500]	Loss: 0.4005	LR: 0.004000
Training Epoch: 14 [15360/47500]	Loss: 0.3821	LR: 0.004000
Training Epoch: 14 [15616/47500]	Loss: 0.3692	LR: 0.004000
Training Epoch: 14 [15872/47500]	Loss: 0.2847	LR: 0.004000
Training Epoch: 14 [16128/47500]	Loss: 0.3427	LR: 0.004000
Training Epoch: 14 [16384/47500]	Loss: 0.3358	LR: 0.004000
Training Epoch: 14 [16640/47500]	Loss: 0.2424	LR: 0.004000
Training Epoch: 14 [16896/47500]	Loss: 0.3191	LR: 0.004000
Training Epoch: 14 [17152/47500]	Loss: 0.3091	LR: 0.004000
Training Epoch: 14 [17408/47500]	Loss: 0.3736	LR: 0.004000
Training Epoch: 14 [17664/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 14 [17920/47500]	Loss: 0.3156	LR: 0.004000
Training Epoch: 14 [18176/47500]	Loss: 0.2839	LR: 0.004000
Training Epoch: 14 [18432/47500]	Loss: 0.3321	LR: 0.004000
Training Epoch: 14 [18688/47500]	Loss: 0.3273	LR: 0.004000
Training Epoch: 14 [18944/47500]	Loss: 0.3240	LR: 0.004000
Training Epoch: 14 [19200/47500]	Loss: 0.3614	LR: 0.004000
Training Epoch: 14 [19456/47500]	Loss: 0.3585	LR: 0.004000
Training Epoch: 14 [19712/47500]	Loss: 0.3151	LR: 0.004000
Training Epoch: 14 [19968/47500]	Loss: 0.3458	LR: 0.004000
Training Epoch: 14 [20224/47500]	Loss: 0.3307	LR: 0.004000
Training Epoch: 14 [20480/47500]	Loss: 0.3521	LR: 0.004000
Training Epoch: 14 [20736/47500]	Loss: 0.3608	LR: 0.004000
Training Epoch: 14 [20992/47500]	Loss: 0.3589	LR: 0.004000
Training Epoch: 14 [21248/47500]	Loss: 0.2863	LR: 0.004000
Training Epoch: 14 [21504/47500]	Loss: 0.3454	LR: 0.004000
Training Epoch: 14 [21760/47500]	Loss: 0.3651	LR: 0.004000
Training Epoch: 14 [22016/47500]	Loss: 0.3151	LR: 0.004000
Training Epoch: 14 [22272/47500]	Loss: 0.3021	LR: 0.004000
Training Epoch: 14 [22528/47500]	Loss: 0.2579	LR: 0.004000
Training Epoch: 14 [22784/47500]	Loss: 0.2949	LR: 0.004000
Training Epoch: 14 [23040/47500]	Loss: 0.3415	LR: 0.004000
Training Epoch: 14 [23296/47500]	Loss: 0.3511	LR: 0.004000
Training Epoch: 14 [23552/47500]	Loss: 0.2793	LR: 0.004000
Training Epoch: 14 [23808/47500]	Loss: 0.3851	LR: 0.004000
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Training Epoch: 14 [24320/47500]	Loss: 0.3687	LR: 0.004000
Training Epoch: 14 [24576/47500]	Loss: 0.3457	LR: 0.004000
Training Epoch: 14 [24832/47500]	Loss: 0.3826	LR: 0.004000
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Training Epoch: 14 [25600/47500]	Loss: 0.3889	LR: 0.004000
Training Epoch: 14 [25856/47500]	Loss: 0.3710	LR: 0.004000
Training Epoch: 14 [26112/47500]	Loss: 0.2971	LR: 0.004000
Training Epoch: 14 [26368/47500]	Loss: 0.3584	LR: 0.004000
Training Epoch: 14 [26624/47500]	Loss: 0.2819	LR: 0.004000
Training Epoch: 14 [26880/47500]	Loss: 0.3345	LR: 0.004000
Training Epoch: 14 [27136/47500]	Loss: 0.3592	LR: 0.004000
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Training Epoch: 14 [27648/47500]	Loss: 0.3255	LR: 0.004000
Training Epoch: 14 [27904/47500]	Loss: 0.3462	LR: 0.004000
Training Epoch: 14 [28160/47500]	Loss: 0.2827	LR: 0.004000
Training Epoch: 14 [28416/47500]	Loss: 0.3334	LR: 0.004000
Training Epoch: 14 [28672/47500]	Loss: 0.3401	LR: 0.004000
Training Epoch: 14 [28928/47500]	Loss: 0.3570	LR: 0.004000
Training Epoch: 14 [29184/47500]	Loss: 0.3125	LR: 0.004000
Training Epoch: 14 [29440/47500]	Loss: 0.2577	LR: 0.004000
Training Epoch: 14 [29696/47500]	Loss: 0.3739	LR: 0.004000
Training Epoch: 14 [29952/47500]	Loss: 0.3231	LR: 0.004000
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Training Epoch: 14 [30720/47500]	Loss: 0.3669	LR: 0.004000
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Training Epoch: 14 [36096/47500]	Loss: 0.3395	LR: 0.004000
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Training Epoch: 14 [37632/47500]	Loss: 0.3139	LR: 0.004000
Training Epoch: 14 [37888/47500]	Loss: 0.3661	LR: 0.004000
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Training Epoch: 14 [38400/47500]	Loss: 0.4588	LR: 0.004000
Training Epoch: 14 [38656/47500]	Loss: 0.3468	LR: 0.004000
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Training Epoch: 14 [40192/47500]	Loss: 0.3323	LR: 0.004000
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Training Epoch: 14 [43264/47500]	Loss: 0.2662	LR: 0.004000
Training Epoch: 14 [43520/47500]	Loss: 0.2737	LR: 0.004000
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Training Epoch: 14 [47500/47500]	Loss: 0.2448	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3345, Train Accuracy: 0.8849
Epoch 14 training time consumed: 26.14s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8728, Time consumed:1.01s
Training Epoch: 15 [256/47500]	Loss: 0.3086	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.3947	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3294, Train Accuracy: 0.8884
Epoch 15 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8753, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2706	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.3174	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3175, Train Accuracy: 0.8936
Epoch 16 training time consumed: 26.05s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8760, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.3008	LR: 0.000800
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Training Epoch: 17 [46080/47500]	Loss: 0.2205	LR: 0.000800
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Training Epoch: 17 [46592/47500]	Loss: 0.3212	LR: 0.000800
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Training Epoch: 17 [47360/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2695	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3148, Train Accuracy: 0.8928
Epoch 17 training time consumed: 26.02s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8767, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2951	LR: 0.000800
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Training Epoch: 18 [47500/47500]	Loss: 0.2419	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3133, Train Accuracy: 0.8931
Epoch 18 training time consumed: 26.15s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8773, Time consumed:1.02s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.3503	LR: 0.000800
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Training Epoch: 19 [47360/47500]	Loss: 0.2689	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2508	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3089, Train Accuracy: 0.8949
Epoch 19 training time consumed: 26.45s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8776, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_44m_43s/AllCNN-Cifar10-seed4-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.3543	LR: 0.000800
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Training Epoch: 20 [46592/47500]	Loss: 0.3273	LR: 0.000800
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Training Epoch: 20 [47360/47500]	Loss: 0.3223	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.3504	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3049, Train Accuracy: 0.8965
Epoch 20 training time consumed: 26.13s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8770, Time consumed:0.93s
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: 87.6953125
Retain Accuracy: 90.09799194335938
Zero-Retain Forget (ZRF): 0.8555355072021484
Membership Inference Attack (MIA): 0.406
Forget vs Retain Membership Inference Attack (MIA): 0.5
Forget vs Test Membership Inference Attack (MIA): 0.534
Test vs Retain Membership Inference Attack (MIA): 0.51025
Train vs Test Membership Inference Attack (MIA): 0.5155
Forget Set Accuracy (Df): 87.20025634765625
Method Execution Time: 1039.56 seconds
