hello
hello

📌 Retain class distribution for seed 6:
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 6:
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: 2.3244	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3143	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.2914	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3246	LR: 0.001613
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Training Epoch: 1 [10496/47500]	Loss: 1.7683	LR: 0.021505
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Training Epoch: 1 [11008/47500]	Loss: 1.7500	LR: 0.022581
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Training Epoch: 1 [11776/47500]	Loss: 1.7840	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7518	LR: 0.024731
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Training Epoch: 1 [12544/47500]	Loss: 1.6446	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.6597	LR: 0.026344
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Training Epoch: 1 [13568/47500]	Loss: 1.6759	LR: 0.027957
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Training Epoch: 1 [28672/47500]	Loss: 1.4721	LR: 0.059677
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Training Epoch: 1 [30720/47500]	Loss: 1.3902	LR: 0.063978
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Training Epoch: 1 [32000/47500]	Loss: 1.5858	LR: 0.066667
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Training Epoch: 1 [33280/47500]	Loss: 1.4958	LR: 0.069355
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Training Epoch: 1 [37376/47500]	Loss: 1.5171	LR: 0.077957
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Training Epoch: 1 [38144/47500]	Loss: 1.4046	LR: 0.079570
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Training Epoch: 1 [42240/47500]	Loss: 1.2897	LR: 0.088172
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Training Epoch: 1 [43520/47500]	Loss: 1.4750	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.2425	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.3650	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.2475	LR: 0.092473
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Training Epoch: 1 [44800/47500]	Loss: 1.3878	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.3575	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3281	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.2915	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.1916	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.4453	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.2505	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.3286	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.4249	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.4566	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.3874	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.2430	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6358, Train Accuracy: 0.3949
Epoch 1 training time consumed: 27.09s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0074, Accuracy: 0.3601, Time consumed:1.05s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.2254	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.3803	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.2449	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.2613	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.3272	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.3518	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.2611	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.4097	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 1.0332	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1749, Train Accuracy: 0.5796
Epoch 2 training time consumed: 26.41s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0046, Accuracy: 0.5962, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0677	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.9164	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9856, Train Accuracy: 0.6498
Epoch 3 training time consumed: 26.32s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0040, Accuracy: 0.6479, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.9167	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.9047	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.9002	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8276	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 0.6811	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8433, Train Accuracy: 0.7017
Epoch 4 training time consumed: 26.38s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0039, Accuracy: 0.6751, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-4-best.pth
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Training Epoch: 5 [47500/47500]	Loss: 0.6076	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7585, Train Accuracy: 0.7325
Epoch 5 training time consumed: 26.29s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0030, Accuracy: 0.7355, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.5522	LR: 0.100000
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Epoch 6 - Average Train Loss: 0.6964, Train Accuracy: 0.7574
Epoch 6 training time consumed: 26.39s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0034, Accuracy: 0.7212, Time consumed:0.92s
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Training Epoch: 7 [10752/47500]	Loss: 0.6999	LR: 0.100000
Training Epoch: 7 [11008/47500]	Loss: 0.5787	LR: 0.100000
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Training Epoch: 7 [12800/47500]	Loss: 0.6524	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.6884	LR: 0.100000
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Training Epoch: 7 [14336/47500]	Loss: 0.6131	LR: 0.100000
Training Epoch: 7 [14592/47500]	Loss: 0.6104	LR: 0.100000
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Training Epoch: 7 [16896/47500]	Loss: 0.7297	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.6441	LR: 0.100000
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Training Epoch: 7 [17920/47500]	Loss: 0.6960	LR: 0.100000
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Training Epoch: 7 [19456/47500]	Loss: 0.5927	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.6292	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.4930	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.6563	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.7000	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.6506	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.6534	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.6650	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.5807	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.8152	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.7054	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.6545	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.5849	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.7045	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5719	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.6965	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.6230	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.6244	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.4866	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.7623	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.5547	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.5917	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.6239	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.6098	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.6281	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.6390	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.4940	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.4880	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.6558	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.6320	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.5630	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.6281	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.6306	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.7595	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.5898	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.6551	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.6434	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.5611	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.5900	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.6152	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.5913	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.5321	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.5958	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.6336	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.6681	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.6130	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.5591	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.6440	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.5726	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.6885	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.6387	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.6280	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.7347	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.5762	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.5892	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.5861	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.5432	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.6903	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.6228	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6052	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.5636	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.5401	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.5962	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5756	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.6637	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.6448	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.5379	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.5852	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.6040	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.6754	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.7856	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.4951	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.5366	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.6325	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.6252	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.6993	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.6215	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.6382	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.5896	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.6550	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.6001	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.6602	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.5682	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.5598	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.5923	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.6444	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.6453	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.6862	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.6650	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.5329	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.5330	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.6351	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.6893	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.5760	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.7225	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.6423	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.6298	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.7198	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.6537	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.5142	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.6299	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.5918	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.5772	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.5675	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.7068	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.6494	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.6202	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.6887	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.6237	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.6595	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.4398	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6334, Train Accuracy: 0.7784
Epoch 7 training time consumed: 26.29s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0042, Accuracy: 0.6761, Time consumed:0.94s
Training Epoch: 8 [256/47500]	Loss: 0.5380	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.6098	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.5571	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.5880	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.6219	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.6108	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.5907	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.5116	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.4058	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.6050	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.5824	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.4444	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.5651	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.6166	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.5380	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.5551	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4686	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.5258	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.5733	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4237	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4631	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.6398	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.5434	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.4564	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4359	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.4873	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.5506	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.4632	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4778	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.4643	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4663	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.5468	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.4613	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.5967	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4720	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4287	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.4327	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.3791	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.4550	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4529	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.3775	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.4677	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.5222	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.5432	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.5118	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.4446	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.5769	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.4995	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.4544	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4441	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4051	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.5371	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.5857	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.5383	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.3779	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.4823	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4914	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.4484	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.5838	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.5640	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.5042	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4787	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.5427	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.5092	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.4239	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.4956	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.3816	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4402	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.5045	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.4939	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.5089	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4685	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.4738	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.4924	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4729	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.5087	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.4728	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.4180	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.4695	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.5237	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.3650	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.4476	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4949	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.5403	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.5217	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.3820	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.4351	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.4729	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.4900	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.5180	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.5049	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.5152	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.4360	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.3759	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.4683	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.5105	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.3983	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.4262	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.4217	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.5238	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.4180	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.5509	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.4874	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.4802	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.4700	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.4098	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.5168	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.4068	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.4756	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.4299	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.5024	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.5000	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.5442	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4577	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.5107	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.5004	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.5026	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.4802	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.5572	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.4942	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.5175	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.5139	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.5349	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.5328	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.3793	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.4094	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.4525	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.5949	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4850, Train Accuracy: 0.8325
Epoch 8 training time consumed: 26.39s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8414, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4193	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.3798	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4376, Train Accuracy: 0.8488
Epoch 9 training time consumed: 26.42s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8472, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.4549	LR: 0.020000
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Training Epoch: 10 [47500/47500]	Loss: 0.5290	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4216, Train Accuracy: 0.8565
Epoch 10 training time consumed: 26.41s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8519, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-10-best.pth
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Training Epoch: 11 [47360/47500]	Loss: 0.4849	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.3194	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4031, Train Accuracy: 0.8597
Epoch 11 training time consumed: 26.43s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8532, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3688	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.4077	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.4712	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3587, Train Accuracy: 0.8770
Epoch 12 training time consumed: 26.32s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8723, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3217	LR: 0.004000
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Training Epoch: 13 [17152/47500]	Loss: 0.3138	LR: 0.004000
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Training Epoch: 13 [19456/47500]	Loss: 0.3314	LR: 0.004000
Training Epoch: 13 [19712/47500]	Loss: 0.3590	LR: 0.004000
Training Epoch: 13 [19968/47500]	Loss: 0.3703	LR: 0.004000
Training Epoch: 13 [20224/47500]	Loss: 0.2974	LR: 0.004000
Training Epoch: 13 [20480/47500]	Loss: 0.4402	LR: 0.004000
Training Epoch: 13 [20736/47500]	Loss: 0.3699	LR: 0.004000
Training Epoch: 13 [20992/47500]	Loss: 0.3924	LR: 0.004000
Training Epoch: 13 [21248/47500]	Loss: 0.3405	LR: 0.004000
Training Epoch: 13 [21504/47500]	Loss: 0.3111	LR: 0.004000
Training Epoch: 13 [21760/47500]	Loss: 0.3818	LR: 0.004000
Training Epoch: 13 [22016/47500]	Loss: 0.2901	LR: 0.004000
Training Epoch: 13 [22272/47500]	Loss: 0.3690	LR: 0.004000
Training Epoch: 13 [22528/47500]	Loss: 0.3474	LR: 0.004000
Training Epoch: 13 [22784/47500]	Loss: 0.3024	LR: 0.004000
Training Epoch: 13 [23040/47500]	Loss: 0.2588	LR: 0.004000
Training Epoch: 13 [23296/47500]	Loss: 0.4207	LR: 0.004000
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Training Epoch: 13 [23808/47500]	Loss: 0.2652	LR: 0.004000
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Training Epoch: 13 [24320/47500]	Loss: 0.3652	LR: 0.004000
Training Epoch: 13 [24576/47500]	Loss: 0.3010	LR: 0.004000
Training Epoch: 13 [24832/47500]	Loss: 0.2828	LR: 0.004000
Training Epoch: 13 [25088/47500]	Loss: 0.4314	LR: 0.004000
Training Epoch: 13 [25344/47500]	Loss: 0.3270	LR: 0.004000
Training Epoch: 13 [25600/47500]	Loss: 0.2949	LR: 0.004000
Training Epoch: 13 [25856/47500]	Loss: 0.4706	LR: 0.004000
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Training Epoch: 13 [27392/47500]	Loss: 0.3081	LR: 0.004000
Training Epoch: 13 [27648/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 13 [27904/47500]	Loss: 0.3057	LR: 0.004000
Training Epoch: 13 [28160/47500]	Loss: 0.2801	LR: 0.004000
Training Epoch: 13 [28416/47500]	Loss: 0.2846	LR: 0.004000
Training Epoch: 13 [28672/47500]	Loss: 0.3486	LR: 0.004000
Training Epoch: 13 [28928/47500]	Loss: 0.3804	LR: 0.004000
Training Epoch: 13 [29184/47500]	Loss: 0.2802	LR: 0.004000
Training Epoch: 13 [29440/47500]	Loss: 0.3406	LR: 0.004000
Training Epoch: 13 [29696/47500]	Loss: 0.3209	LR: 0.004000
Training Epoch: 13 [29952/47500]	Loss: 0.3776	LR: 0.004000
Training Epoch: 13 [30208/47500]	Loss: 0.4163	LR: 0.004000
Training Epoch: 13 [30464/47500]	Loss: 0.3237	LR: 0.004000
Training Epoch: 13 [30720/47500]	Loss: 0.3558	LR: 0.004000
Training Epoch: 13 [30976/47500]	Loss: 0.2979	LR: 0.004000
Training Epoch: 13 [31232/47500]	Loss: 0.3221	LR: 0.004000
Training Epoch: 13 [31488/47500]	Loss: 0.3559	LR: 0.004000
Training Epoch: 13 [31744/47500]	Loss: 0.3841	LR: 0.004000
Training Epoch: 13 [32000/47500]	Loss: 0.2867	LR: 0.004000
Training Epoch: 13 [32256/47500]	Loss: 0.3146	LR: 0.004000
Training Epoch: 13 [32512/47500]	Loss: 0.3461	LR: 0.004000
Training Epoch: 13 [32768/47500]	Loss: 0.3435	LR: 0.004000
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Training Epoch: 13 [34816/47500]	Loss: 0.3700	LR: 0.004000
Training Epoch: 13 [35072/47500]	Loss: 0.3384	LR: 0.004000
Training Epoch: 13 [35328/47500]	Loss: 0.3249	LR: 0.004000
Training Epoch: 13 [35584/47500]	Loss: 0.4105	LR: 0.004000
Training Epoch: 13 [35840/47500]	Loss: 0.3184	LR: 0.004000
Training Epoch: 13 [36096/47500]	Loss: 0.3922	LR: 0.004000
Training Epoch: 13 [36352/47500]	Loss: 0.3158	LR: 0.004000
Training Epoch: 13 [36608/47500]	Loss: 0.3693	LR: 0.004000
Training Epoch: 13 [36864/47500]	Loss: 0.3180	LR: 0.004000
Training Epoch: 13 [37120/47500]	Loss: 0.3983	LR: 0.004000
Training Epoch: 13 [37376/47500]	Loss: 0.3660	LR: 0.004000
Training Epoch: 13 [37632/47500]	Loss: 0.4448	LR: 0.004000
Training Epoch: 13 [37888/47500]	Loss: 0.2756	LR: 0.004000
Training Epoch: 13 [38144/47500]	Loss: 0.3678	LR: 0.004000
Training Epoch: 13 [38400/47500]	Loss: 0.3273	LR: 0.004000
Training Epoch: 13 [38656/47500]	Loss: 0.3140	LR: 0.004000
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Training Epoch: 13 [39168/47500]	Loss: 0.2933	LR: 0.004000
Training Epoch: 13 [39424/47500]	Loss: 0.2710	LR: 0.004000
Training Epoch: 13 [39680/47500]	Loss: 0.3394	LR: 0.004000
Training Epoch: 13 [39936/47500]	Loss: 0.3044	LR: 0.004000
Training Epoch: 13 [40192/47500]	Loss: 0.3311	LR: 0.004000
Training Epoch: 13 [40448/47500]	Loss: 0.3761	LR: 0.004000
Training Epoch: 13 [40704/47500]	Loss: 0.4053	LR: 0.004000
Training Epoch: 13 [40960/47500]	Loss: 0.3349	LR: 0.004000
Training Epoch: 13 [41216/47500]	Loss: 0.3786	LR: 0.004000
Training Epoch: 13 [41472/47500]	Loss: 0.3770	LR: 0.004000
Training Epoch: 13 [41728/47500]	Loss: 0.2770	LR: 0.004000
Training Epoch: 13 [41984/47500]	Loss: 0.3117	LR: 0.004000
Training Epoch: 13 [42240/47500]	Loss: 0.3320	LR: 0.004000
Training Epoch: 13 [42496/47500]	Loss: 0.3204	LR: 0.004000
Training Epoch: 13 [42752/47500]	Loss: 0.3193	LR: 0.004000
Training Epoch: 13 [43008/47500]	Loss: 0.3354	LR: 0.004000
Training Epoch: 13 [43264/47500]	Loss: 0.3757	LR: 0.004000
Training Epoch: 13 [43520/47500]	Loss: 0.3511	LR: 0.004000
Training Epoch: 13 [43776/47500]	Loss: 0.3255	LR: 0.004000
Training Epoch: 13 [44032/47500]	Loss: 0.2872	LR: 0.004000
Training Epoch: 13 [44288/47500]	Loss: 0.3540	LR: 0.004000
Training Epoch: 13 [44544/47500]	Loss: 0.3414	LR: 0.004000
Training Epoch: 13 [44800/47500]	Loss: 0.2860	LR: 0.004000
Training Epoch: 13 [45056/47500]	Loss: 0.2890	LR: 0.004000
Training Epoch: 13 [45312/47500]	Loss: 0.4101	LR: 0.004000
Training Epoch: 13 [45568/47500]	Loss: 0.3262	LR: 0.004000
Training Epoch: 13 [45824/47500]	Loss: 0.3449	LR: 0.004000
Training Epoch: 13 [46080/47500]	Loss: 0.4080	LR: 0.004000
Training Epoch: 13 [46336/47500]	Loss: 0.3737	LR: 0.004000
Training Epoch: 13 [46592/47500]	Loss: 0.3467	LR: 0.004000
Training Epoch: 13 [46848/47500]	Loss: 0.4073	LR: 0.004000
Training Epoch: 13 [47104/47500]	Loss: 0.3359	LR: 0.004000
Training Epoch: 13 [47360/47500]	Loss: 0.3081	LR: 0.004000
Training Epoch: 13 [47500/47500]	Loss: 0.4007	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3418, Train Accuracy: 0.8825
Epoch 13 training time consumed: 26.39s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8707, Time consumed:0.96s
Training Epoch: 14 [256/47500]	Loss: 0.3002	LR: 0.004000
Training Epoch: 14 [512/47500]	Loss: 0.3000	LR: 0.004000
Training Epoch: 14 [768/47500]	Loss: 0.4106	LR: 0.004000
Training Epoch: 14 [1024/47500]	Loss: 0.3147	LR: 0.004000
Training Epoch: 14 [1280/47500]	Loss: 0.3552	LR: 0.004000
Training Epoch: 14 [1536/47500]	Loss: 0.3036	LR: 0.004000
Training Epoch: 14 [1792/47500]	Loss: 0.3638	LR: 0.004000
Training Epoch: 14 [2048/47500]	Loss: 0.3509	LR: 0.004000
Training Epoch: 14 [2304/47500]	Loss: 0.3446	LR: 0.004000
Training Epoch: 14 [2560/47500]	Loss: 0.3712	LR: 0.004000
Training Epoch: 14 [2816/47500]	Loss: 0.2986	LR: 0.004000
Training Epoch: 14 [3072/47500]	Loss: 0.3791	LR: 0.004000
Training Epoch: 14 [3328/47500]	Loss: 0.3205	LR: 0.004000
Training Epoch: 14 [3584/47500]	Loss: 0.2898	LR: 0.004000
Training Epoch: 14 [3840/47500]	Loss: 0.3091	LR: 0.004000
Training Epoch: 14 [4096/47500]	Loss: 0.2844	LR: 0.004000
Training Epoch: 14 [4352/47500]	Loss: 0.3679	LR: 0.004000
Training Epoch: 14 [4608/47500]	Loss: 0.2689	LR: 0.004000
Training Epoch: 14 [4864/47500]	Loss: 0.3717	LR: 0.004000
Training Epoch: 14 [5120/47500]	Loss: 0.3206	LR: 0.004000
Training Epoch: 14 [5376/47500]	Loss: 0.2903	LR: 0.004000
Training Epoch: 14 [5632/47500]	Loss: 0.3436	LR: 0.004000
Training Epoch: 14 [5888/47500]	Loss: 0.2920	LR: 0.004000
Training Epoch: 14 [6144/47500]	Loss: 0.3509	LR: 0.004000
Training Epoch: 14 [6400/47500]	Loss: 0.3463	LR: 0.004000
Training Epoch: 14 [6656/47500]	Loss: 0.3905	LR: 0.004000
Training Epoch: 14 [6912/47500]	Loss: 0.3155	LR: 0.004000
Training Epoch: 14 [7168/47500]	Loss: 0.3395	LR: 0.004000
Training Epoch: 14 [7424/47500]	Loss: 0.2939	LR: 0.004000
Training Epoch: 14 [7680/47500]	Loss: 0.3169	LR: 0.004000
Training Epoch: 14 [7936/47500]	Loss: 0.3049	LR: 0.004000
Training Epoch: 14 [8192/47500]	Loss: 0.3566	LR: 0.004000
Training Epoch: 14 [8448/47500]	Loss: 0.4434	LR: 0.004000
Training Epoch: 14 [8704/47500]	Loss: 0.3340	LR: 0.004000
Training Epoch: 14 [8960/47500]	Loss: 0.2679	LR: 0.004000
Training Epoch: 14 [9216/47500]	Loss: 0.3035	LR: 0.004000
Training Epoch: 14 [9472/47500]	Loss: 0.2842	LR: 0.004000
Training Epoch: 14 [9728/47500]	Loss: 0.3530	LR: 0.004000
Training Epoch: 14 [9984/47500]	Loss: 0.3003	LR: 0.004000
Training Epoch: 14 [10240/47500]	Loss: 0.3500	LR: 0.004000
Training Epoch: 14 [10496/47500]	Loss: 0.3560	LR: 0.004000
Training Epoch: 14 [10752/47500]	Loss: 0.3187	LR: 0.004000
Training Epoch: 14 [11008/47500]	Loss: 0.3636	LR: 0.004000
Training Epoch: 14 [11264/47500]	Loss: 0.3445	LR: 0.004000
Training Epoch: 14 [11520/47500]	Loss: 0.3283	LR: 0.004000
Training Epoch: 14 [11776/47500]	Loss: 0.2666	LR: 0.004000
Training Epoch: 14 [12032/47500]	Loss: 0.3236	LR: 0.004000
Training Epoch: 14 [12288/47500]	Loss: 0.3438	LR: 0.004000
Training Epoch: 14 [12544/47500]	Loss: 0.3268	LR: 0.004000
Training Epoch: 14 [12800/47500]	Loss: 0.3407	LR: 0.004000
Training Epoch: 14 [13056/47500]	Loss: 0.3674	LR: 0.004000
Training Epoch: 14 [13312/47500]	Loss: 0.3000	LR: 0.004000
Training Epoch: 14 [13568/47500]	Loss: 0.2659	LR: 0.004000
Training Epoch: 14 [13824/47500]	Loss: 0.3062	LR: 0.004000
Training Epoch: 14 [14080/47500]	Loss: 0.3295	LR: 0.004000
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Training Epoch: 14 [14592/47500]	Loss: 0.3268	LR: 0.004000
Training Epoch: 14 [14848/47500]	Loss: 0.2997	LR: 0.004000
Training Epoch: 14 [15104/47500]	Loss: 0.3081	LR: 0.004000
Training Epoch: 14 [15360/47500]	Loss: 0.3552	LR: 0.004000
Training Epoch: 14 [15616/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 14 [15872/47500]	Loss: 0.3697	LR: 0.004000
Training Epoch: 14 [16128/47500]	Loss: 0.4262	LR: 0.004000
Training Epoch: 14 [16384/47500]	Loss: 0.3421	LR: 0.004000
Training Epoch: 14 [16640/47500]	Loss: 0.3232	LR: 0.004000
Training Epoch: 14 [16896/47500]	Loss: 0.3268	LR: 0.004000
Training Epoch: 14 [17152/47500]	Loss: 0.3000	LR: 0.004000
Training Epoch: 14 [17408/47500]	Loss: 0.3128	LR: 0.004000
Training Epoch: 14 [17664/47500]	Loss: 0.3692	LR: 0.004000
Training Epoch: 14 [17920/47500]	Loss: 0.3900	LR: 0.004000
Training Epoch: 14 [18176/47500]	Loss: 0.3344	LR: 0.004000
Training Epoch: 14 [18432/47500]	Loss: 0.3557	LR: 0.004000
Training Epoch: 14 [18688/47500]	Loss: 0.3489	LR: 0.004000
Training Epoch: 14 [18944/47500]	Loss: 0.3339	LR: 0.004000
Training Epoch: 14 [19200/47500]	Loss: 0.3790	LR: 0.004000
Training Epoch: 14 [19456/47500]	Loss: 0.3496	LR: 0.004000
Training Epoch: 14 [19712/47500]	Loss: 0.2952	LR: 0.004000
Training Epoch: 14 [19968/47500]	Loss: 0.3431	LR: 0.004000
Training Epoch: 14 [20224/47500]	Loss: 0.3335	LR: 0.004000
Training Epoch: 14 [20480/47500]	Loss: 0.4498	LR: 0.004000
Training Epoch: 14 [20736/47500]	Loss: 0.3986	LR: 0.004000
Training Epoch: 14 [20992/47500]	Loss: 0.3193	LR: 0.004000
Training Epoch: 14 [21248/47500]	Loss: 0.3254	LR: 0.004000
Training Epoch: 14 [21504/47500]	Loss: 0.3271	LR: 0.004000
Training Epoch: 14 [21760/47500]	Loss: 0.3122	LR: 0.004000
Training Epoch: 14 [22016/47500]	Loss: 0.3651	LR: 0.004000
Training Epoch: 14 [22272/47500]	Loss: 0.3283	LR: 0.004000
Training Epoch: 14 [22528/47500]	Loss: 0.3434	LR: 0.004000
Training Epoch: 14 [22784/47500]	Loss: 0.3488	LR: 0.004000
Training Epoch: 14 [23040/47500]	Loss: 0.3255	LR: 0.004000
Training Epoch: 14 [23296/47500]	Loss: 0.3703	LR: 0.004000
Training Epoch: 14 [23552/47500]	Loss: 0.3416	LR: 0.004000
Training Epoch: 14 [23808/47500]	Loss: 0.4157	LR: 0.004000
Training Epoch: 14 [24064/47500]	Loss: 0.3626	LR: 0.004000
Training Epoch: 14 [24320/47500]	Loss: 0.3598	LR: 0.004000
Training Epoch: 14 [24576/47500]	Loss: 0.2099	LR: 0.004000
Training Epoch: 14 [24832/47500]	Loss: 0.3243	LR: 0.004000
Training Epoch: 14 [25088/47500]	Loss: 0.3313	LR: 0.004000
Training Epoch: 14 [25344/47500]	Loss: 0.3051	LR: 0.004000
Training Epoch: 14 [25600/47500]	Loss: 0.3593	LR: 0.004000
Training Epoch: 14 [25856/47500]	Loss: 0.3766	LR: 0.004000
Training Epoch: 14 [26112/47500]	Loss: 0.4226	LR: 0.004000
Training Epoch: 14 [26368/47500]	Loss: 0.3679	LR: 0.004000
Training Epoch: 14 [26624/47500]	Loss: 0.3411	LR: 0.004000
Training Epoch: 14 [26880/47500]	Loss: 0.3375	LR: 0.004000
Training Epoch: 14 [27136/47500]	Loss: 0.3071	LR: 0.004000
Training Epoch: 14 [27392/47500]	Loss: 0.2903	LR: 0.004000
Training Epoch: 14 [27648/47500]	Loss: 0.3253	LR: 0.004000
Training Epoch: 14 [27904/47500]	Loss: 0.3018	LR: 0.004000
Training Epoch: 14 [28160/47500]	Loss: 0.3269	LR: 0.004000
Training Epoch: 14 [28416/47500]	Loss: 0.3602	LR: 0.004000
Training Epoch: 14 [28672/47500]	Loss: 0.2755	LR: 0.004000
Training Epoch: 14 [28928/47500]	Loss: 0.4191	LR: 0.004000
Training Epoch: 14 [29184/47500]	Loss: 0.3164	LR: 0.004000
Training Epoch: 14 [29440/47500]	Loss: 0.3794	LR: 0.004000
Training Epoch: 14 [29696/47500]	Loss: 0.3327	LR: 0.004000
Training Epoch: 14 [29952/47500]	Loss: 0.2982	LR: 0.004000
Training Epoch: 14 [30208/47500]	Loss: 0.3664	LR: 0.004000
Training Epoch: 14 [30464/47500]	Loss: 0.3052	LR: 0.004000
Training Epoch: 14 [30720/47500]	Loss: 0.2856	LR: 0.004000
Training Epoch: 14 [30976/47500]	Loss: 0.2990	LR: 0.004000
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Training Epoch: 14 [31488/47500]	Loss: 0.3001	LR: 0.004000
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Training Epoch: 14 [35840/47500]	Loss: 0.3698	LR: 0.004000
Training Epoch: 14 [36096/47500]	Loss: 0.4316	LR: 0.004000
Training Epoch: 14 [36352/47500]	Loss: 0.3466	LR: 0.004000
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Training Epoch: 14 [37120/47500]	Loss: 0.3211	LR: 0.004000
Training Epoch: 14 [37376/47500]	Loss: 0.3402	LR: 0.004000
Training Epoch: 14 [37632/47500]	Loss: 0.3573	LR: 0.004000
Training Epoch: 14 [37888/47500]	Loss: 0.2464	LR: 0.004000
Training Epoch: 14 [38144/47500]	Loss: 0.3087	LR: 0.004000
Training Epoch: 14 [38400/47500]	Loss: 0.4042	LR: 0.004000
Training Epoch: 14 [38656/47500]	Loss: 0.3862	LR: 0.004000
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Training Epoch: 14 [39424/47500]	Loss: 0.2918	LR: 0.004000
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Training Epoch: 14 [40192/47500]	Loss: 0.3920	LR: 0.004000
Training Epoch: 14 [40448/47500]	Loss: 0.3624	LR: 0.004000
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Training Epoch: 14 [42752/47500]	Loss: 0.4241	LR: 0.004000
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Training Epoch: 14 [47500/47500]	Loss: 0.3555	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3352, Train Accuracy: 0.8861
Epoch 14 training time consumed: 26.36s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8746, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2891	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.3559	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3297, Train Accuracy: 0.8868
Epoch 15 training time consumed: 26.44s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8763, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.3380	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.3454	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3151, Train Accuracy: 0.8933
Epoch 16 training time consumed: 26.37s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8800, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.3333	LR: 0.000800
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Training Epoch: 17 [45056/47500]	Loss: 0.2515	LR: 0.000800
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Training Epoch: 17 [47360/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.3581	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3148, Train Accuracy: 0.8924
Epoch 17 training time consumed: 26.40s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8794, Time consumed:0.93s
Training Epoch: 18 [256/47500]	Loss: 0.3142	LR: 0.000800
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Training Epoch: 18 [47360/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.3256	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3124, Train Accuracy: 0.8940
Epoch 18 training time consumed: 26.37s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8802, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.3028	LR: 0.000800
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Training Epoch: 19 [768/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2782	LR: 0.000800
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Training Epoch: 19 [1536/47500]	Loss: 0.3610	LR: 0.000800
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Training Epoch: 19 [22272/47500]	Loss: 0.2981	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.3364	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.2973	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.3168	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.3609	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.3266	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.3557	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.3405	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.3371	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.3259	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.3529	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.3834	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.3486	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.3274	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.3372	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.3202	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.3170	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.2885	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.3744	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.2117	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.3834	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.2318	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.2955	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.3504	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.3185	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.2480	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.3428	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.2811	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.3343	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.3655	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.4018	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.2811	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.2573	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.4050	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.3028	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.3432	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.3486	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.3117	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.2537	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.4039	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.3066	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.4040	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.3736	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.3275	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.3318	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.3420	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.3142	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.3325	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.3460	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.3508	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.3438	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.2887	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.3542	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.3104	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.3280	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.3825	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.3426	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.2252	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3134, Train Accuracy: 0.8924
Epoch 19 training time consumed: 26.74s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8800, Time consumed:0.95s
Training Epoch: 20 [256/47500]	Loss: 0.4403	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.2467	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.3640	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.3281	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.2907	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.2270	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.3144	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.3391	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.3173	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.3202	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.2675	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.3895	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.3362	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.4045	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.3294	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.4127	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.3144	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.2266	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.3604	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.3292	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.3116	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.3934	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.3466	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.3855	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.3475	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.3763	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.3319	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.3519	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.3240	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.2344	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.3131	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.2678	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.3914	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.3765	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.3457	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.2416	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.3241	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.3606	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.3049	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.3302	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.2225	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.3666	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.2508	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.3405	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.3887	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.3286	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.3551	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.3072	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.3407	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.3093	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.3489	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.3498	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.3482	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.3504	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.3739	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.3865	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.3870	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.3509	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2704	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.3632	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.2646	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.3554	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.3045	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.3376	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.3199	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.3305	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.3109	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.3907	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.2691	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.4198	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.3123	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.3555	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.3347	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.3980	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.2134	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.2940	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.3364	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.3293	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.3332	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.3399	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.3780	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.3429	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.3636	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.2526	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.2845	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.3732	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.3346	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.3686	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.2496	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.2659	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.3197	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.3472	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.3471	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.3260	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.3657	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.2392	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.3485	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3104, Train Accuracy: 0.8951
Epoch 20 training time consumed: 26.37s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8813, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_01h_20m_15s/AllCNN-Cifar10-seed6-ret50-20-best.pth
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: 88.26171875
Retain Accuracy: 89.81200408935547
Zero-Retain Forget (ZRF): 0.8581689596176147
Membership Inference Attack (MIA): 0.422
Forget vs Retain Membership Inference Attack (MIA): 0.533
Forget vs Test Membership Inference Attack (MIA): 0.565
Test vs Retain Membership Inference Attack (MIA): 0.5
Train vs Test Membership Inference Attack (MIA): 0.5195
Forget Set Accuracy (Df): 87.13408660888672
Method Execution Time: 1048.29 seconds
