hello
hello

📌 Retain class distribution for seed 2:
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 2:
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: 2.3176	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3399	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3047	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.3498	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3029	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.3182	LR: 0.002688
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Training Epoch: 1 [2048/47500]	Loss: 2.2715	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2996	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2267	LR: 0.004839
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Training Epoch: 1 [9472/47500]	Loss: 1.7693	LR: 0.019355
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Training Epoch: 1 [10240/47500]	Loss: 1.8290	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.8916	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.7885	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.8434	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7487	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.7190	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7856	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.7320	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 1.7529	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.8130	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.7849	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.7327	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7789	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.7944	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 1.6884	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.6826	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.6068	LR: 0.029570
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Training Epoch: 1 [15872/47500]	Loss: 1.7831	LR: 0.032796
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Training Epoch: 1 [16384/47500]	Loss: 1.7280	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.6385	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.6673	LR: 0.034946
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Training Epoch: 1 [20480/47500]	Loss: 1.5959	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.6607	LR: 0.043011
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Training Epoch: 1 [22016/47500]	Loss: 1.6740	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.5554	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.5484	LR: 0.046774
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Training Epoch: 1 [23552/47500]	Loss: 1.5168	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.5219	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.5354	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.5862	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.5328	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.5734	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.4419	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.4540	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.5976	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.4934	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.6053	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.4879	LR: 0.054839
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Training Epoch: 1 [26880/47500]	Loss: 1.4927	LR: 0.055914
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Training Epoch: 1 [27648/47500]	Loss: 1.5595	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.4853	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.4381	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.5817	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.5564	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.6546	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.5815	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.5087	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.5413	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.4360	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.4708	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.5960	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5208	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.5027	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.4129	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.4758	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.5406	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.5062	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.4537	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5400	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.3297	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.4169	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.4549	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.4073	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.3269	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.4234	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.5594	LR: 0.071505
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Training Epoch: 1 [34816/47500]	Loss: 1.3634	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.3351	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.4997	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.3647	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.4541	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.5113	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.3651	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.4709	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.3428	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.5132	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.3706	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.3531	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.4598	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.4238	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.5008	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.4506	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.3708	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.4947	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.4130	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.4250	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.4022	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.3815	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.4352	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.2926	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.3876	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.3305	LR: 0.086022
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Training Epoch: 1 [41728/47500]	Loss: 1.4227	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.3520	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4904	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.5047	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.4447	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.5905	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.3387	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.3468	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.4765	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.3565	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.3650	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.5324	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.3375	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.3363	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.3947	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.4320	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.4465	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.4324	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.3956	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.4313	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.5035	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.3744	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.3098	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.3417	LR: 0.099462
Epoch 1 - Average Train Loss: 1.6552, Train Accuracy: 0.3871
Epoch 1 training time consumed: 27.38s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0082, Accuracy: 0.3894, Time consumed:1.08s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.3574	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.4081	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.3857	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.3272	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.2579	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.4306	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.2758	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.2912	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.2899	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.4261	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.3955	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.1611	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.3862	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.2704	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.2937	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.3126	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.2916	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.3093	LR: 0.100000
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Training Epoch: 2 [22528/47500]	Loss: 1.1316	LR: 0.100000
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Training Epoch: 2 [47500/47500]	Loss: 1.0125	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1831, Train Accuracy: 0.5727
Epoch 2 training time consumed: 26.67s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0063, Accuracy: 0.5185, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.1084	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 0.7642	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9733, Train Accuracy: 0.6529
Epoch 3 training time consumed: 26.55s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0041, Accuracy: 0.6499, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.7498	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.8947	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.8931	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.9533	LR: 0.100000
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Training Epoch: 4 [2048/47500]	Loss: 0.8382	LR: 0.100000
Training Epoch: 4 [2304/47500]	Loss: 0.8020	LR: 0.100000
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Training Epoch: 4 [22016/47500]	Loss: 0.9331	LR: 0.100000
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Training Epoch: 4 [23808/47500]	Loss: 0.9946	LR: 0.100000
Training Epoch: 4 [24064/47500]	Loss: 0.8688	LR: 0.100000
Training Epoch: 4 [24320/47500]	Loss: 0.8597	LR: 0.100000
Training Epoch: 4 [24576/47500]	Loss: 0.8758	LR: 0.100000
Training Epoch: 4 [24832/47500]	Loss: 0.9451	LR: 0.100000
Training Epoch: 4 [25088/47500]	Loss: 0.8839	LR: 0.100000
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Training Epoch: 4 [25600/47500]	Loss: 0.8442	LR: 0.100000
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Training Epoch: 4 [26624/47500]	Loss: 0.8377	LR: 0.100000
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Training Epoch: 4 [28416/47500]	Loss: 0.7974	LR: 0.100000
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Training Epoch: 4 [28928/47500]	Loss: 0.9834	LR: 0.100000
Training Epoch: 4 [29184/47500]	Loss: 0.8377	LR: 0.100000
Training Epoch: 4 [29440/47500]	Loss: 0.7720	LR: 0.100000
Training Epoch: 4 [29696/47500]	Loss: 0.7346	LR: 0.100000
Training Epoch: 4 [29952/47500]	Loss: 0.8875	LR: 0.100000
Training Epoch: 4 [30208/47500]	Loss: 0.8471	LR: 0.100000
Training Epoch: 4 [30464/47500]	Loss: 0.8265	LR: 0.100000
Training Epoch: 4 [30720/47500]	Loss: 1.0541	LR: 0.100000
Training Epoch: 4 [30976/47500]	Loss: 0.8323	LR: 0.100000
Training Epoch: 4 [31232/47500]	Loss: 0.9111	LR: 0.100000
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Training Epoch: 4 [31744/47500]	Loss: 0.8084	LR: 0.100000
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Training Epoch: 4 [34560/47500]	Loss: 0.7658	LR: 0.100000
Training Epoch: 4 [34816/47500]	Loss: 0.8043	LR: 0.100000
Training Epoch: 4 [35072/47500]	Loss: 0.8610	LR: 0.100000
Training Epoch: 4 [35328/47500]	Loss: 0.9519	LR: 0.100000
Training Epoch: 4 [35584/47500]	Loss: 0.8259	LR: 0.100000
Training Epoch: 4 [35840/47500]	Loss: 0.8432	LR: 0.100000
Training Epoch: 4 [36096/47500]	Loss: 0.8301	LR: 0.100000
Training Epoch: 4 [36352/47500]	Loss: 0.9480	LR: 0.100000
Training Epoch: 4 [36608/47500]	Loss: 0.8802	LR: 0.100000
Training Epoch: 4 [36864/47500]	Loss: 0.8058	LR: 0.100000
Training Epoch: 4 [37120/47500]	Loss: 0.9461	LR: 0.100000
Training Epoch: 4 [37376/47500]	Loss: 0.8542	LR: 0.100000
Training Epoch: 4 [37632/47500]	Loss: 0.9142	LR: 0.100000
Training Epoch: 4 [37888/47500]	Loss: 0.9715	LR: 0.100000
Training Epoch: 4 [38144/47500]	Loss: 0.7395	LR: 0.100000
Training Epoch: 4 [38400/47500]	Loss: 0.7710	LR: 0.100000
Training Epoch: 4 [38656/47500]	Loss: 0.7376	LR: 0.100000
Training Epoch: 4 [38912/47500]	Loss: 0.8033	LR: 0.100000
Training Epoch: 4 [39168/47500]	Loss: 0.8083	LR: 0.100000
Training Epoch: 4 [39424/47500]	Loss: 0.9212	LR: 0.100000
Training Epoch: 4 [39680/47500]	Loss: 0.8980	LR: 0.100000
Training Epoch: 4 [39936/47500]	Loss: 0.8866	LR: 0.100000
Training Epoch: 4 [40192/47500]	Loss: 0.6999	LR: 0.100000
Training Epoch: 4 [40448/47500]	Loss: 0.7150	LR: 0.100000
Training Epoch: 4 [40704/47500]	Loss: 0.8431	LR: 0.100000
Training Epoch: 4 [40960/47500]	Loss: 0.8539	LR: 0.100000
Training Epoch: 4 [41216/47500]	Loss: 0.8002	LR: 0.100000
Training Epoch: 4 [41472/47500]	Loss: 0.8368	LR: 0.100000
Training Epoch: 4 [41728/47500]	Loss: 0.8041	LR: 0.100000
Training Epoch: 4 [41984/47500]	Loss: 0.8558	LR: 0.100000
Training Epoch: 4 [42240/47500]	Loss: 0.7400	LR: 0.100000
Training Epoch: 4 [42496/47500]	Loss: 0.8232	LR: 0.100000
Training Epoch: 4 [42752/47500]	Loss: 0.8041	LR: 0.100000
Training Epoch: 4 [43008/47500]	Loss: 0.9599	LR: 0.100000
Training Epoch: 4 [43264/47500]	Loss: 0.7734	LR: 0.100000
Training Epoch: 4 [43520/47500]	Loss: 0.8779	LR: 0.100000
Training Epoch: 4 [43776/47500]	Loss: 0.9182	LR: 0.100000
Training Epoch: 4 [44032/47500]	Loss: 0.8122	LR: 0.100000
Training Epoch: 4 [44288/47500]	Loss: 0.7825	LR: 0.100000
Training Epoch: 4 [44544/47500]	Loss: 0.8199	LR: 0.100000
Training Epoch: 4 [44800/47500]	Loss: 0.7364	LR: 0.100000
Training Epoch: 4 [45056/47500]	Loss: 0.6951	LR: 0.100000
Training Epoch: 4 [45312/47500]	Loss: 0.7984	LR: 0.100000
Training Epoch: 4 [45568/47500]	Loss: 0.8357	LR: 0.100000
Training Epoch: 4 [45824/47500]	Loss: 0.7775	LR: 0.100000
Training Epoch: 4 [46080/47500]	Loss: 0.8068	LR: 0.100000
Training Epoch: 4 [46336/47500]	Loss: 0.8319	LR: 0.100000
Training Epoch: 4 [46592/47500]	Loss: 0.9018	LR: 0.100000
Training Epoch: 4 [46848/47500]	Loss: 0.7259	LR: 0.100000
Training Epoch: 4 [47104/47500]	Loss: 0.7318	LR: 0.100000
Training Epoch: 4 [47360/47500]	Loss: 0.8752	LR: 0.100000
Training Epoch: 4 [47500/47500]	Loss: 0.8727	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8583, Train Accuracy: 0.6978
Epoch 4 training time consumed: 26.53s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0047, Accuracy: 0.6134, Time consumed:1.00s
Training Epoch: 5 [256/47500]	Loss: 0.9666	LR: 0.100000
Training Epoch: 5 [512/47500]	Loss: 0.9628	LR: 0.100000
Training Epoch: 5 [768/47500]	Loss: 0.8859	LR: 0.100000
Training Epoch: 5 [1024/47500]	Loss: 0.8016	LR: 0.100000
Training Epoch: 5 [1280/47500]	Loss: 0.7483	LR: 0.100000
Training Epoch: 5 [1536/47500]	Loss: 0.7533	LR: 0.100000
Training Epoch: 5 [1792/47500]	Loss: 0.7195	LR: 0.100000
Training Epoch: 5 [2048/47500]	Loss: 0.8503	LR: 0.100000
Training Epoch: 5 [2304/47500]	Loss: 0.7924	LR: 0.100000
Training Epoch: 5 [2560/47500]	Loss: 0.9890	LR: 0.100000
Training Epoch: 5 [2816/47500]	Loss: 0.7179	LR: 0.100000
Training Epoch: 5 [3072/47500]	Loss: 0.7474	LR: 0.100000
Training Epoch: 5 [3328/47500]	Loss: 0.8350	LR: 0.100000
Training Epoch: 5 [3584/47500]	Loss: 0.7108	LR: 0.100000
Training Epoch: 5 [3840/47500]	Loss: 0.7250	LR: 0.100000
Training Epoch: 5 [4096/47500]	Loss: 0.7889	LR: 0.100000
Training Epoch: 5 [4352/47500]	Loss: 0.9483	LR: 0.100000
Training Epoch: 5 [4608/47500]	Loss: 0.6857	LR: 0.100000
Training Epoch: 5 [4864/47500]	Loss: 0.7801	LR: 0.100000
Training Epoch: 5 [5120/47500]	Loss: 0.7443	LR: 0.100000
Training Epoch: 5 [5376/47500]	Loss: 0.7296	LR: 0.100000
Training Epoch: 5 [5632/47500]	Loss: 0.7001	LR: 0.100000
Training Epoch: 5 [5888/47500]	Loss: 0.7453	LR: 0.100000
Training Epoch: 5 [6144/47500]	Loss: 0.7222	LR: 0.100000
Training Epoch: 5 [6400/47500]	Loss: 0.7663	LR: 0.100000
Training Epoch: 5 [6656/47500]	Loss: 0.8398	LR: 0.100000
Training Epoch: 5 [6912/47500]	Loss: 0.8086	LR: 0.100000
Training Epoch: 5 [7168/47500]	Loss: 0.7823	LR: 0.100000
Training Epoch: 5 [7424/47500]	Loss: 0.7610	LR: 0.100000
Training Epoch: 5 [7680/47500]	Loss: 0.7879	LR: 0.100000
Training Epoch: 5 [7936/47500]	Loss: 0.7589	LR: 0.100000
Training Epoch: 5 [8192/47500]	Loss: 0.7558	LR: 0.100000
Training Epoch: 5 [8448/47500]	Loss: 0.6850	LR: 0.100000
Training Epoch: 5 [8704/47500]	Loss: 0.8738	LR: 0.100000
Training Epoch: 5 [8960/47500]	Loss: 0.8763	LR: 0.100000
Training Epoch: 5 [9216/47500]	Loss: 0.6985	LR: 0.100000
Training Epoch: 5 [9472/47500]	Loss: 0.6784	LR: 0.100000
Training Epoch: 5 [9728/47500]	Loss: 0.7428	LR: 0.100000
Training Epoch: 5 [9984/47500]	Loss: 0.9007	LR: 0.100000
Training Epoch: 5 [10240/47500]	Loss: 0.7598	LR: 0.100000
Training Epoch: 5 [10496/47500]	Loss: 0.7546	LR: 0.100000
Training Epoch: 5 [10752/47500]	Loss: 0.7751	LR: 0.100000
Training Epoch: 5 [11008/47500]	Loss: 0.8439	LR: 0.100000
Training Epoch: 5 [11264/47500]	Loss: 0.6654	LR: 0.100000
Training Epoch: 5 [11520/47500]	Loss: 0.7856	LR: 0.100000
Training Epoch: 5 [11776/47500]	Loss: 0.7243	LR: 0.100000
Training Epoch: 5 [12032/47500]	Loss: 0.7833	LR: 0.100000
Training Epoch: 5 [12288/47500]	Loss: 0.7980	LR: 0.100000
Training Epoch: 5 [12544/47500]	Loss: 0.6607	LR: 0.100000
Training Epoch: 5 [12800/47500]	Loss: 0.7519	LR: 0.100000
Training Epoch: 5 [13056/47500]	Loss: 0.7068	LR: 0.100000
Training Epoch: 5 [13312/47500]	Loss: 0.7854	LR: 0.100000
Training Epoch: 5 [13568/47500]	Loss: 0.8438	LR: 0.100000
Training Epoch: 5 [13824/47500]	Loss: 0.7957	LR: 0.100000
Training Epoch: 5 [14080/47500]	Loss: 0.8160	LR: 0.100000
Training Epoch: 5 [14336/47500]	Loss: 0.7663	LR: 0.100000
Training Epoch: 5 [14592/47500]	Loss: 0.7959	LR: 0.100000
Training Epoch: 5 [14848/47500]	Loss: 0.9066	LR: 0.100000
Training Epoch: 5 [15104/47500]	Loss: 0.8390	LR: 0.100000
Training Epoch: 5 [15360/47500]	Loss: 0.7320	LR: 0.100000
Training Epoch: 5 [15616/47500]	Loss: 0.8179	LR: 0.100000
Training Epoch: 5 [15872/47500]	Loss: 0.7221	LR: 0.100000
Training Epoch: 5 [16128/47500]	Loss: 0.9280	LR: 0.100000
Training Epoch: 5 [16384/47500]	Loss: 0.7782	LR: 0.100000
Training Epoch: 5 [16640/47500]	Loss: 0.7786	LR: 0.100000
Training Epoch: 5 [16896/47500]	Loss: 0.6492	LR: 0.100000
Training Epoch: 5 [17152/47500]	Loss: 0.6597	LR: 0.100000
Training Epoch: 5 [17408/47500]	Loss: 0.7713	LR: 0.100000
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Training Epoch: 5 [17920/47500]	Loss: 0.7658	LR: 0.100000
Training Epoch: 5 [18176/47500]	Loss: 0.7734	LR: 0.100000
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Training Epoch: 5 [19200/47500]	Loss: 0.7501	LR: 0.100000
Training Epoch: 5 [19456/47500]	Loss: 0.8034	LR: 0.100000
Training Epoch: 5 [19712/47500]	Loss: 0.6132	LR: 0.100000
Training Epoch: 5 [19968/47500]	Loss: 0.8500	LR: 0.100000
Training Epoch: 5 [20224/47500]	Loss: 0.8460	LR: 0.100000
Training Epoch: 5 [20480/47500]	Loss: 0.7944	LR: 0.100000
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Training Epoch: 5 [22016/47500]	Loss: 0.8017	LR: 0.100000
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Training Epoch: 5 [23040/47500]	Loss: 0.8294	LR: 0.100000
Training Epoch: 5 [23296/47500]	Loss: 0.7011	LR: 0.100000
Training Epoch: 5 [23552/47500]	Loss: 0.8577	LR: 0.100000
Training Epoch: 5 [23808/47500]	Loss: 0.7614	LR: 0.100000
Training Epoch: 5 [24064/47500]	Loss: 0.7824	LR: 0.100000
Training Epoch: 5 [24320/47500]	Loss: 0.6780	LR: 0.100000
Training Epoch: 5 [24576/47500]	Loss: 0.6944	LR: 0.100000
Training Epoch: 5 [24832/47500]	Loss: 0.8082	LR: 0.100000
Training Epoch: 5 [25088/47500]	Loss: 0.7863	LR: 0.100000
Training Epoch: 5 [25344/47500]	Loss: 0.7179	LR: 0.100000
Training Epoch: 5 [25600/47500]	Loss: 0.8424	LR: 0.100000
Training Epoch: 5 [25856/47500]	Loss: 0.7087	LR: 0.100000
Training Epoch: 5 [26112/47500]	Loss: 0.8474	LR: 0.100000
Training Epoch: 5 [26368/47500]	Loss: 0.9441	LR: 0.100000
Training Epoch: 5 [26624/47500]	Loss: 0.8354	LR: 0.100000
Training Epoch: 5 [26880/47500]	Loss: 0.6063	LR: 0.100000
Training Epoch: 5 [27136/47500]	Loss: 0.7377	LR: 0.100000
Training Epoch: 5 [27392/47500]	Loss: 0.7219	LR: 0.100000
Training Epoch: 5 [27648/47500]	Loss: 0.7375	LR: 0.100000
Training Epoch: 5 [27904/47500]	Loss: 0.8162	LR: 0.100000
Training Epoch: 5 [28160/47500]	Loss: 0.7444	LR: 0.100000
Training Epoch: 5 [28416/47500]	Loss: 0.7604	LR: 0.100000
Training Epoch: 5 [28672/47500]	Loss: 0.7842	LR: 0.100000
Training Epoch: 5 [28928/47500]	Loss: 0.7110	LR: 0.100000
Training Epoch: 5 [29184/47500]	Loss: 0.6851	LR: 0.100000
Training Epoch: 5 [29440/47500]	Loss: 0.7010	LR: 0.100000
Training Epoch: 5 [29696/47500]	Loss: 0.8239	LR: 0.100000
Training Epoch: 5 [29952/47500]	Loss: 0.8426	LR: 0.100000
Training Epoch: 5 [30208/47500]	Loss: 0.7321	LR: 0.100000
Training Epoch: 5 [30464/47500]	Loss: 0.7887	LR: 0.100000
Training Epoch: 5 [30720/47500]	Loss: 0.7258	LR: 0.100000
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Training Epoch: 5 [47500/47500]	Loss: 0.8701	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7646, Train Accuracy: 0.7301
Epoch 5 training time consumed: 26.69s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0031, Accuracy: 0.7329, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.7338	LR: 0.100000
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Training Epoch: 6 [47500/47500]	Loss: 0.5931	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6887, Train Accuracy: 0.7590
Epoch 6 training time consumed: 26.63s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0036, Accuracy: 0.7073, Time consumed:0.95s
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Training Epoch: 7 [47500/47500]	Loss: 0.5710	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6358, Train Accuracy: 0.7806
Epoch 7 training time consumed: 26.66s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0029, Accuracy: 0.7462, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.5526	LR: 0.020000
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Training Epoch: 8 [47500/47500]	Loss: 0.3847	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4863, Train Accuracy: 0.8316
Epoch 8 training time consumed: 26.65s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0019, Accuracy: 0.8376, Time consumed:1.02s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.5229	LR: 0.020000
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Training Epoch: 9 [47500/47500]	Loss: 0.4112	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4445, Train Accuracy: 0.8463
Epoch 9 training time consumed: 26.57s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0019, Accuracy: 0.8392, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.3936	LR: 0.020000
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Training Epoch: 10 [14336/47500]	Loss: 0.3502	LR: 0.020000
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Training Epoch: 10 [16896/47500]	Loss: 0.4142	LR: 0.020000
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Training Epoch: 10 [20224/47500]	Loss: 0.4381	LR: 0.020000
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Training Epoch: 10 [22016/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 10 [22272/47500]	Loss: 0.4024	LR: 0.020000
Training Epoch: 10 [22528/47500]	Loss: 0.4798	LR: 0.020000
Training Epoch: 10 [22784/47500]	Loss: 0.4041	LR: 0.020000
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Training Epoch: 10 [24832/47500]	Loss: 0.4387	LR: 0.020000
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Training Epoch: 10 [25600/47500]	Loss: 0.3626	LR: 0.020000
Training Epoch: 10 [25856/47500]	Loss: 0.3850	LR: 0.020000
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Training Epoch: 10 [27648/47500]	Loss: 0.4271	LR: 0.020000
Training Epoch: 10 [27904/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 10 [28160/47500]	Loss: 0.4130	LR: 0.020000
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Training Epoch: 10 [29184/47500]	Loss: 0.3320	LR: 0.020000
Training Epoch: 10 [29440/47500]	Loss: 0.3922	LR: 0.020000
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Training Epoch: 10 [29952/47500]	Loss: 0.4307	LR: 0.020000
Training Epoch: 10 [30208/47500]	Loss: 0.4674	LR: 0.020000
Training Epoch: 10 [30464/47500]	Loss: 0.3195	LR: 0.020000
Training Epoch: 10 [30720/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 10 [30976/47500]	Loss: 0.3988	LR: 0.020000
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Training Epoch: 10 [32256/47500]	Loss: 0.4604	LR: 0.020000
Training Epoch: 10 [32512/47500]	Loss: 0.3797	LR: 0.020000
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Training Epoch: 10 [35584/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.4992	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.3847	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.4127	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.3094	LR: 0.020000
Training Epoch: 10 [36864/47500]	Loss: 0.4378	LR: 0.020000
Training Epoch: 10 [37120/47500]	Loss: 0.3983	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.4712	LR: 0.020000
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Training Epoch: 10 [37888/47500]	Loss: 0.3500	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.4671	LR: 0.020000
Training Epoch: 10 [38400/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 10 [38656/47500]	Loss: 0.4440	LR: 0.020000
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Training Epoch: 10 [39424/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 10 [39680/47500]	Loss: 0.4454	LR: 0.020000
Training Epoch: 10 [39936/47500]	Loss: 0.4176	LR: 0.020000
Training Epoch: 10 [40192/47500]	Loss: 0.5206	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.4366	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.4608	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.3949	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.4958	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.3373	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.4441	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.3555	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.4741	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.4410	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.4724	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.3683	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.4461	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.4145	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.3702	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.5185	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.3727	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.3992	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.3655	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.3533	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.4232	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.4109	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.4481	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.4974	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4205, Train Accuracy: 0.8540
Epoch 10 training time consumed: 26.61s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0019, Accuracy: 0.8373, Time consumed:0.98s
Training Epoch: 11 [256/47500]	Loss: 0.3893	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.4858	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.3887	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.4109	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.4863	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.4689	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.2889	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.4232	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.4879	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.3690	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.4015	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.3627	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.3331	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.3678	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.3303	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.4796	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.3639	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.3871	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.4128	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.2807	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.4826	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.4337	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.4498	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.4021	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.4450	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.3721	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.3894	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.3784	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.5217	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.3650	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.4350	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.4303	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.4024	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.4578	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.4188	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.4674	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.3660	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.3870	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.3716	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.4175	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.4495	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.4866	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.4097	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.3961	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.4967	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.4745	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.4148	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.3513	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.3786	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.3899	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.4112	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.3265	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.3983	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.3342	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.3772	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.3582	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.3122	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.3727	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.3651	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.4481	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.4127	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.3308	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.4143	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.4521	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.4027	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.3957	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.3625	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.3746	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.4712	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.3973	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.4649	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.4093	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.5258	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.3995	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.3320	LR: 0.020000
Training Epoch: 11 [24064/47500]	Loss: 0.4235	LR: 0.020000
Training Epoch: 11 [24320/47500]	Loss: 0.3341	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.4086	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.3659	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.4253	LR: 0.020000
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Training Epoch: 11 [25600/47500]	Loss: 0.3729	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.3816	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.4642	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.4273	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.4312	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.3118	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.5239	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.4762	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.3539	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.4352	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.4893	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.3989	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.4184	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.3771	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.4568	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.4110	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.4448	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.4090	LR: 0.020000
Training Epoch: 11 [31488/47500]	Loss: 0.3918	LR: 0.020000
Training Epoch: 11 [31744/47500]	Loss: 0.3421	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.3941	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.2869	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.4015	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.4122	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.3461	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.3010	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.4283	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.4058	LR: 0.020000
Training Epoch: 11 [34048/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 11 [34304/47500]	Loss: 0.3604	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.4221	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.4178	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.3730	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.3812	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.3994	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.4387	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.5475	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.3959	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.4447	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.4040	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.3849	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.4642	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.4390	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.3784	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.3638	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.4296	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.3858	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.3811	LR: 0.020000
Training Epoch: 11 [40448/47500]	Loss: 0.4306	LR: 0.020000
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Training Epoch: 11 [47360/47500]	Loss: 0.3829	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.4455	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4074, Train Accuracy: 0.8603
Epoch 11 training time consumed: 26.63s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0017, Accuracy: 0.8487, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.4270	LR: 0.004000
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Training Epoch: 12 [47360/47500]	Loss: 0.3890	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3202	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3571, Train Accuracy: 0.8776
Epoch 12 training time consumed: 26.59s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8670, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.3078	LR: 0.004000
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Training Epoch: 13 [47500/47500]	Loss: 0.3675	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3431, Train Accuracy: 0.8821
Epoch 13 training time consumed: 26.50s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8701, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 0.2818	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3376, Train Accuracy: 0.8831
Epoch 14 training time consumed: 26.60s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8708, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.3991	LR: 0.004000
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Training Epoch: 15 [47500/47500]	Loss: 0.4414	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3300, Train Accuracy: 0.8868
Epoch 15 training time consumed: 26.60s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8719, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.2478	LR: 0.000800
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Training Epoch: 16 [47500/47500]	Loss: 0.2887	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3192, Train Accuracy: 0.8906
Epoch 16 training time consumed: 26.68s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0015, Accuracy: 0.8736, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2805	LR: 0.000800
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Training Epoch: 17 [45056/47500]	Loss: 0.3903	LR: 0.000800
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Training Epoch: 17 [47360/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.3400	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3181, Train Accuracy: 0.8906
Epoch 17 training time consumed: 26.62s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0015, Accuracy: 0.8738, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2851	LR: 0.000800
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Training Epoch: 18 [47500/47500]	Loss: 0.3359	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3163, Train Accuracy: 0.8927
Epoch 18 training time consumed: 26.67s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0015, Accuracy: 0.8745, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.3214	LR: 0.000800
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Training Epoch: 19 [1024/47500]	Loss: 0.2638	LR: 0.000800
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Training Epoch: 19 [47500/47500]	Loss: 0.3767	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3135, Train Accuracy: 0.8945
Epoch 19 training time consumed: 26.95s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0015, Accuracy: 0.8757, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.3515	LR: 0.000800
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Training Epoch: 20 [47360/47500]	Loss: 0.3691	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2554	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3096, Train Accuracy: 0.8942
Epoch 20 training time consumed: 26.77s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0015, Accuracy: 0.8758, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_00h_09m_13s/AllCNN-Cifar10-seed2-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: 87.724609375
Retain Accuracy: 89.82917785644531
Zero-Retain Forget (ZRF): 0.8557011485099792
Membership Inference Attack (MIA): 0.4276
Forget vs Retain Membership Inference Attack (MIA): 0.514
Forget vs Test Membership Inference Attack (MIA): 0.563
Test vs Retain Membership Inference Attack (MIA): 0.51025
Train vs Test Membership Inference Attack (MIA): 0.5205
Forget Set Accuracy (Df): 86.42857360839844
Method Execution Time: 1048.42 seconds
