hello
hello
Labels

📌S Retain class distribution for seed 9:
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

📌S Forget class distribution for seed 9:
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
780909900

📊 Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.5696	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4875	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.5154	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.4940	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3529	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2521	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2523	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2198	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2437	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2857	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.3551	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2400	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1965	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1421	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 1.9462	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 1.8902	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.9714	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9271	LR: 0.008901
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Training Epoch: 1 [5888/48750]	Loss: 1.7255	LR: 0.011518
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Training Epoch: 1 [6656/48750]	Loss: 1.7140	LR: 0.013089
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Training Epoch: 1 [7936/48750]	Loss: 1.7192	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.7533	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.6132	LR: 0.016754
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Training Epoch: 1 [8960/48750]	Loss: 1.5297	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.6249	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.5965	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.5761	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.5794	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.6052	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7187	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.5681	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.6531	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.4031	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.5658	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.5205	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.5875	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.5400	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6262	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.4578	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.5342	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.5557	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.3555	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.4938	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.5288	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.4885	LR: 0.028796
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Training Epoch: 1 [14848/48750]	Loss: 1.4824	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6188	LR: 0.030366
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Training Epoch: 1 [15616/48750]	Loss: 1.7117	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6063	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.4083	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7316	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6453	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.4847	LR: 0.034031
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Training Epoch: 1 [17408/48750]	Loss: 1.6062	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6061	LR: 0.035602
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Training Epoch: 1 [18176/48750]	Loss: 1.4476	LR: 0.036649
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Training Epoch: 1 [19200/48750]	Loss: 1.5042	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.7097	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.4760	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.7343	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.4184	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.3447	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.4034	LR: 0.041885
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Training Epoch: 1 [21248/48750]	Loss: 1.3455	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.4049	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.2394	LR: 0.043979
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Training Epoch: 1 [22272/48750]	Loss: 1.4932	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.2957	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.3562	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.4209	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.4087	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.2479	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.5004	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.2407	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5249	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.4837	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.2711	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.4313	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.2926	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.3408	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.3102	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.3525	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.3394	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.6140	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.3750	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.5434	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.6156	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.6748	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.4770	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.3816	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.4138	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.2872	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.4792	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.3589	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.3337	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.2163	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.1325	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.2940	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.2062	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.4019	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4161	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.3856	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.2920	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.4085	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.2546	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.3023	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.2519	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.2542	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.2519	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.0455	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.1336	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.2776	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.3439	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.2926	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.2239	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.2425	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.2630	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.2355	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.3371	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.3116	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.2082	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.3163	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.3814	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.1651	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.2806	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.3815	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.3337	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.1320	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.4394	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.1459	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.3418	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.2323	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.1530	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.0986	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.1329	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.2489	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.3647	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.2319	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.3508	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.1597	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.1612	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.3557	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.1823	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4037	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.2207	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.3169	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.1941	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.1737	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.0714	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3005	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.3978	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.1870	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.0148	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3580	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.2797	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.1616	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.0931	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.0334	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.2983	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.0887	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.2052	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.0972	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 0.9095	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.2397	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.0315	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 0.9359	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.0469	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.2129	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.1305	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 0.9964	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.2094	LR: 0.099476
Epoch 1 - Average Train Loss: 1.4763, Train Accuracy: 0.4663
Epoch 1 training time consumed: 19.62s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0055, Accuracy: 0.5731, Time consumed:1.07s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_11m_26s/ResNet18-Cifar10-seed9-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.0608	LR: 0.020000
Training Epoch: 2 [512/48750]	Loss: 0.9896	LR: 0.020000
Training Epoch: 2 [768/48750]	Loss: 1.0578	LR: 0.020000
Training Epoch: 2 [1024/48750]	Loss: 0.9572	LR: 0.020000
Training Epoch: 2 [1280/48750]	Loss: 0.9218	LR: 0.020000
Training Epoch: 2 [1536/48750]	Loss: 0.8965	LR: 0.020000
Training Epoch: 2 [1792/48750]	Loss: 1.0100	LR: 0.020000
Training Epoch: 2 [2048/48750]	Loss: 0.9557	LR: 0.020000
Training Epoch: 2 [2304/48750]	Loss: 1.0045	LR: 0.020000
Training Epoch: 2 [2560/48750]	Loss: 0.9069	LR: 0.020000
Training Epoch: 2 [2816/48750]	Loss: 0.9654	LR: 0.020000
Training Epoch: 2 [3072/48750]	Loss: 1.0462	LR: 0.020000
Training Epoch: 2 [3328/48750]	Loss: 0.8025	LR: 0.020000
Training Epoch: 2 [3584/48750]	Loss: 0.8529	LR: 0.020000
Training Epoch: 2 [3840/48750]	Loss: 0.7825	LR: 0.020000
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Training Epoch: 2 [4608/48750]	Loss: 0.8970	LR: 0.020000
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Training Epoch: 2 [5632/48750]	Loss: 0.8195	LR: 0.020000
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Training Epoch: 2 [9984/48750]	Loss: 0.7866	LR: 0.020000
Training Epoch: 2 [10240/48750]	Loss: 0.7990	LR: 0.020000
Training Epoch: 2 [10496/48750]	Loss: 0.7886	LR: 0.020000
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Training Epoch: 2 [11008/48750]	Loss: 0.8662	LR: 0.020000
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Training Epoch: 2 [11520/48750]	Loss: 0.8121	LR: 0.020000
Training Epoch: 2 [11776/48750]	Loss: 0.7293	LR: 0.020000
Training Epoch: 2 [12032/48750]	Loss: 0.8200	LR: 0.020000
Training Epoch: 2 [12288/48750]	Loss: 0.8393	LR: 0.020000
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Training Epoch: 2 [16896/48750]	Loss: 0.7642	LR: 0.020000
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Training Epoch: 2 [20224/48750]	Loss: 0.6413	LR: 0.020000
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Training Epoch: 2 [47616/48750]	Loss: 0.6719	LR: 0.020000
Training Epoch: 2 [47872/48750]	Loss: 0.5183	LR: 0.020000
Training Epoch: 2 [48128/48750]	Loss: 0.5931	LR: 0.020000
Training Epoch: 2 [48384/48750]	Loss: 0.6615	LR: 0.020000
Training Epoch: 2 [48640/48750]	Loss: 0.6917	LR: 0.020000
Training Epoch: 2 [48750/48750]	Loss: 0.6267	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7559, Train Accuracy: 0.7303
Epoch 2 training time consumed: 18.88s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0030, Accuracy: 0.7408, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_11m_26s/ResNet18-Cifar10-seed9-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.6620	LR: 0.020000
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Training Epoch: 3 [44544/48750]	Loss: 0.5499	LR: 0.020000
Training Epoch: 3 [44800/48750]	Loss: 0.5688	LR: 0.020000
Training Epoch: 3 [45056/48750]	Loss: 0.3915	LR: 0.020000
Training Epoch: 3 [45312/48750]	Loss: 0.6282	LR: 0.020000
Training Epoch: 3 [45568/48750]	Loss: 0.6578	LR: 0.020000
Training Epoch: 3 [45824/48750]	Loss: 0.6262	LR: 0.020000
Training Epoch: 3 [46080/48750]	Loss: 0.5980	LR: 0.020000
Training Epoch: 3 [46336/48750]	Loss: 0.5385	LR: 0.020000
Training Epoch: 3 [46592/48750]	Loss: 0.5720	LR: 0.020000
Training Epoch: 3 [46848/48750]	Loss: 0.4396	LR: 0.020000
Training Epoch: 3 [47104/48750]	Loss: 0.5886	LR: 0.020000
Training Epoch: 3 [47360/48750]	Loss: 0.5658	LR: 0.020000
Training Epoch: 3 [47616/48750]	Loss: 0.4534	LR: 0.020000
Training Epoch: 3 [47872/48750]	Loss: 0.4856	LR: 0.020000
Training Epoch: 3 [48128/48750]	Loss: 0.5703	LR: 0.020000
Training Epoch: 3 [48384/48750]	Loss: 0.5959	LR: 0.020000
Training Epoch: 3 [48640/48750]	Loss: 0.4810	LR: 0.020000
Training Epoch: 3 [48750/48750]	Loss: 0.5550	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5739, Train Accuracy: 0.7972
Epoch 3 training time consumed: 18.81s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0030, Accuracy: 0.7454, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_11m_26s/ResNet18-Cifar10-seed9-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.4779	LR: 0.020000
Training Epoch: 4 [512/48750]	Loss: 0.4446	LR: 0.020000
Training Epoch: 4 [768/48750]	Loss: 0.4499	LR: 0.020000
Training Epoch: 4 [1024/48750]	Loss: 0.4261	LR: 0.020000
Training Epoch: 4 [1280/48750]	Loss: 0.4361	LR: 0.020000
Training Epoch: 4 [1536/48750]	Loss: 0.4668	LR: 0.020000
Training Epoch: 4 [1792/48750]	Loss: 0.5320	LR: 0.020000
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Training Epoch: 4 [45056/48750]	Loss: 0.5133	LR: 0.020000
Training Epoch: 4 [45312/48750]	Loss: 0.5304	LR: 0.020000
Training Epoch: 4 [45568/48750]	Loss: 0.3968	LR: 0.020000
Training Epoch: 4 [45824/48750]	Loss: 0.3666	LR: 0.020000
Training Epoch: 4 [46080/48750]	Loss: 0.4130	LR: 0.020000
Training Epoch: 4 [46336/48750]	Loss: 0.4350	LR: 0.020000
Training Epoch: 4 [46592/48750]	Loss: 0.4641	LR: 0.020000
Training Epoch: 4 [46848/48750]	Loss: 0.4169	LR: 0.020000
Training Epoch: 4 [47104/48750]	Loss: 0.4718	LR: 0.020000
Training Epoch: 4 [47360/48750]	Loss: 0.3895	LR: 0.020000
Training Epoch: 4 [47616/48750]	Loss: 0.3715	LR: 0.020000
Training Epoch: 4 [47872/48750]	Loss: 0.4655	LR: 0.020000
Training Epoch: 4 [48128/48750]	Loss: 0.4694	LR: 0.020000
Training Epoch: 4 [48384/48750]	Loss: 0.4213	LR: 0.020000
Training Epoch: 4 [48640/48750]	Loss: 0.4753	LR: 0.020000
Training Epoch: 4 [48750/48750]	Loss: 0.3866	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4384, Train Accuracy: 0.8464
Epoch 4 training time consumed: 18.96s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0034, Accuracy: 0.7402, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_11m_26s/ResNet18-Cifar10-seed9-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.3516	LR: 0.004000
Training Epoch: 5 [512/48750]	Loss: 0.3402	LR: 0.004000
Training Epoch: 5 [768/48750]	Loss: 0.3008	LR: 0.004000
Training Epoch: 5 [1024/48750]	Loss: 0.3018	LR: 0.004000
Training Epoch: 5 [1280/48750]	Loss: 0.3032	LR: 0.004000
Training Epoch: 5 [1536/48750]	Loss: 0.2378	LR: 0.004000
Training Epoch: 5 [1792/48750]	Loss: 0.2917	LR: 0.004000
Training Epoch: 5 [2048/48750]	Loss: 0.3161	LR: 0.004000
Training Epoch: 5 [2304/48750]	Loss: 0.2750	LR: 0.004000
Training Epoch: 5 [2560/48750]	Loss: 0.3214	LR: 0.004000
Training Epoch: 5 [2816/48750]	Loss: 0.2789	LR: 0.004000
Training Epoch: 5 [3072/48750]	Loss: 0.3008	LR: 0.004000
Training Epoch: 5 [3328/48750]	Loss: 0.2311	LR: 0.004000
Training Epoch: 5 [3584/48750]	Loss: 0.2494	LR: 0.004000
Training Epoch: 5 [3840/48750]	Loss: 0.2547	LR: 0.004000
Training Epoch: 5 [4096/48750]	Loss: 0.2389	LR: 0.004000
Training Epoch: 5 [4352/48750]	Loss: 0.3440	LR: 0.004000
Training Epoch: 5 [4608/48750]	Loss: 0.2051	LR: 0.004000
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Training Epoch: 5 [16128/48750]	Loss: 0.1799	LR: 0.004000
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Training Epoch: 5 [18688/48750]	Loss: 0.2992	LR: 0.004000
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Training Epoch: 5 [46336/48750]	Loss: 0.2098	LR: 0.004000
Training Epoch: 5 [46592/48750]	Loss: 0.2019	LR: 0.004000
Training Epoch: 5 [46848/48750]	Loss: 0.1579	LR: 0.004000
Training Epoch: 5 [47104/48750]	Loss: 0.1612	LR: 0.004000
Training Epoch: 5 [47360/48750]	Loss: 0.2100	LR: 0.004000
Training Epoch: 5 [47616/48750]	Loss: 0.1857	LR: 0.004000
Training Epoch: 5 [47872/48750]	Loss: 0.1551	LR: 0.004000
Training Epoch: 5 [48128/48750]	Loss: 0.1914	LR: 0.004000
Training Epoch: 5 [48384/48750]	Loss: 0.1131	LR: 0.004000
Training Epoch: 5 [48640/48750]	Loss: 0.2208	LR: 0.004000
Training Epoch: 5 [48750/48750]	Loss: 0.1942	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2090, Train Accuracy: 0.9320
Epoch 5 training time consumed: 19.28s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8228, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_11m_26s/ResNet18-Cifar10-seed9-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.1853	LR: 0.004000
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Training Epoch: 6 [20224/48750]	Loss: 0.0950	LR: 0.004000
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Training Epoch: 6 [28160/48750]	Loss: 0.0996	LR: 0.004000
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Training Epoch: 6 [35840/48750]	Loss: 0.1198	LR: 0.004000
Training Epoch: 6 [36096/48750]	Loss: 0.1364	LR: 0.004000
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Training Epoch: 6 [42752/48750]	Loss: 0.1190	LR: 0.004000
Training Epoch: 6 [43008/48750]	Loss: 0.1514	LR: 0.004000
Training Epoch: 6 [43264/48750]	Loss: 0.1405	LR: 0.004000
Training Epoch: 6 [43520/48750]	Loss: 0.0974	LR: 0.004000
Training Epoch: 6 [43776/48750]	Loss: 0.1341	LR: 0.004000
Training Epoch: 6 [44032/48750]	Loss: 0.1210	LR: 0.004000
Training Epoch: 6 [44288/48750]	Loss: 0.0828	LR: 0.004000
Training Epoch: 6 [44544/48750]	Loss: 0.1264	LR: 0.004000
Training Epoch: 6 [44800/48750]	Loss: 0.2262	LR: 0.004000
Training Epoch: 6 [45056/48750]	Loss: 0.1129	LR: 0.004000
Training Epoch: 6 [45312/48750]	Loss: 0.1354	LR: 0.004000
Training Epoch: 6 [45568/48750]	Loss: 0.1378	LR: 0.004000
Training Epoch: 6 [45824/48750]	Loss: 0.1096	LR: 0.004000
Training Epoch: 6 [46080/48750]	Loss: 0.1454	LR: 0.004000
Training Epoch: 6 [46336/48750]	Loss: 0.1343	LR: 0.004000
Training Epoch: 6 [46592/48750]	Loss: 0.0917	LR: 0.004000
Training Epoch: 6 [46848/48750]	Loss: 0.1004	LR: 0.004000
Training Epoch: 6 [47104/48750]	Loss: 0.1151	LR: 0.004000
Training Epoch: 6 [47360/48750]	Loss: 0.1521	LR: 0.004000
Training Epoch: 6 [47616/48750]	Loss: 0.0758	LR: 0.004000
Training Epoch: 6 [47872/48750]	Loss: 0.0690	LR: 0.004000
Training Epoch: 6 [48128/48750]	Loss: 0.1230	LR: 0.004000
Training Epoch: 6 [48384/48750]	Loss: 0.1369	LR: 0.004000
Training Epoch: 6 [48640/48750]	Loss: 0.1242	LR: 0.004000
Training Epoch: 6 [48750/48750]	Loss: 0.1169	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1187, Train Accuracy: 0.9657
Epoch 6 training time consumed: 19.00s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8189, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_11m_26s/ResNet18-Cifar10-seed9-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.0517	LR: 0.004000
Training Epoch: 7 [512/48750]	Loss: 0.0591	LR: 0.004000
Training Epoch: 7 [768/48750]	Loss: 0.0743	LR: 0.004000
Training Epoch: 7 [1024/48750]	Loss: 0.0586	LR: 0.004000
Training Epoch: 7 [1280/48750]	Loss: 0.0766	LR: 0.004000
Training Epoch: 7 [1536/48750]	Loss: 0.0683	LR: 0.004000
Training Epoch: 7 [1792/48750]	Loss: 0.0741	LR: 0.004000
Training Epoch: 7 [2048/48750]	Loss: 0.0533	LR: 0.004000
Training Epoch: 7 [2304/48750]	Loss: 0.0751	LR: 0.004000
Training Epoch: 7 [2560/48750]	Loss: 0.0707	LR: 0.004000
Training Epoch: 7 [2816/48750]	Loss: 0.0632	LR: 0.004000
Training Epoch: 7 [3072/48750]	Loss: 0.0614	LR: 0.004000
Training Epoch: 7 [3328/48750]	Loss: 0.0693	LR: 0.004000
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Training Epoch: 7 [3840/48750]	Loss: 0.0823	LR: 0.004000
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Training Epoch: 7 [10752/48750]	Loss: 0.0516	LR: 0.004000
Training Epoch: 7 [11008/48750]	Loss: 0.0730	LR: 0.004000
Training Epoch: 7 [11264/48750]	Loss: 0.0502	LR: 0.004000
Training Epoch: 7 [11520/48750]	Loss: 0.0482	LR: 0.004000
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Training Epoch: 7 [12032/48750]	Loss: 0.0706	LR: 0.004000
Training Epoch: 7 [12288/48750]	Loss: 0.0599	LR: 0.004000
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Training Epoch: 7 [15872/48750]	Loss: 0.0475	LR: 0.004000
Training Epoch: 7 [16128/48750]	Loss: 0.0844	LR: 0.004000
Training Epoch: 7 [16384/48750]	Loss: 0.0414	LR: 0.004000
Training Epoch: 7 [16640/48750]	Loss: 0.0592	LR: 0.004000
Training Epoch: 7 [16896/48750]	Loss: 0.0410	LR: 0.004000
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Training Epoch: 7 [37632/48750]	Loss: 0.0884	LR: 0.004000
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Training Epoch: 7 [43008/48750]	Loss: 0.0574	LR: 0.004000
Training Epoch: 7 [43264/48750]	Loss: 0.0603	LR: 0.004000
Training Epoch: 7 [43520/48750]	Loss: 0.0567	LR: 0.004000
Training Epoch: 7 [43776/48750]	Loss: 0.0852	LR: 0.004000
Training Epoch: 7 [44032/48750]	Loss: 0.0951	LR: 0.004000
Training Epoch: 7 [44288/48750]	Loss: 0.0565	LR: 0.004000
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Training Epoch: 7 [44800/48750]	Loss: 0.0748	LR: 0.004000
Training Epoch: 7 [45056/48750]	Loss: 0.0536	LR: 0.004000
Training Epoch: 7 [45312/48750]	Loss: 0.0616	LR: 0.004000
Training Epoch: 7 [45568/48750]	Loss: 0.1085	LR: 0.004000
Training Epoch: 7 [45824/48750]	Loss: 0.0699	LR: 0.004000
Training Epoch: 7 [46080/48750]	Loss: 0.0565	LR: 0.004000
Training Epoch: 7 [46336/48750]	Loss: 0.0678	LR: 0.004000
Training Epoch: 7 [46592/48750]	Loss: 0.0795	LR: 0.004000
Training Epoch: 7 [46848/48750]	Loss: 0.0321	LR: 0.004000
Training Epoch: 7 [47104/48750]	Loss: 0.0352	LR: 0.004000
Training Epoch: 7 [47360/48750]	Loss: 0.0563	LR: 0.004000
Training Epoch: 7 [47616/48750]	Loss: 0.0711	LR: 0.004000
Training Epoch: 7 [47872/48750]	Loss: 0.0479	LR: 0.004000
Training Epoch: 7 [48128/48750]	Loss: 0.0642	LR: 0.004000
Training Epoch: 7 [48384/48750]	Loss: 0.0489	LR: 0.004000
Training Epoch: 7 [48640/48750]	Loss: 0.0447	LR: 0.004000
Training Epoch: 7 [48750/48750]	Loss: 0.0733	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0625, Train Accuracy: 0.9861
Epoch 7 training time consumed: 19.18s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.8235, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_11m_26s/ResNet18-Cifar10-seed9-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0327	LR: 0.004000
Training Epoch: 8 [512/48750]	Loss: 0.0307	LR: 0.004000
Training Epoch: 8 [768/48750]	Loss: 0.0351	LR: 0.004000
Training Epoch: 8 [1024/48750]	Loss: 0.0336	LR: 0.004000
Training Epoch: 8 [1280/48750]	Loss: 0.0442	LR: 0.004000
Training Epoch: 8 [1536/48750]	Loss: 0.0202	LR: 0.004000
Training Epoch: 8 [1792/48750]	Loss: 0.0320	LR: 0.004000
Training Epoch: 8 [2048/48750]	Loss: 0.0434	LR: 0.004000
Training Epoch: 8 [2304/48750]	Loss: 0.0249	LR: 0.004000
Training Epoch: 8 [2560/48750]	Loss: 0.0456	LR: 0.004000
Training Epoch: 8 [2816/48750]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [3072/48750]	Loss: 0.0352	LR: 0.004000
Training Epoch: 8 [3328/48750]	Loss: 0.0380	LR: 0.004000
Training Epoch: 8 [3584/48750]	Loss: 0.0381	LR: 0.004000
Training Epoch: 8 [3840/48750]	Loss: 0.0302	LR: 0.004000
Training Epoch: 8 [4096/48750]	Loss: 0.0307	LR: 0.004000
Training Epoch: 8 [4352/48750]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [4608/48750]	Loss: 0.0277	LR: 0.004000
Training Epoch: 8 [4864/48750]	Loss: 0.0549	LR: 0.004000
Training Epoch: 8 [5120/48750]	Loss: 0.0279	LR: 0.004000
Training Epoch: 8 [5376/48750]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [5632/48750]	Loss: 0.0391	LR: 0.004000
Training Epoch: 8 [5888/48750]	Loss: 0.0260	LR: 0.004000
Training Epoch: 8 [6144/48750]	Loss: 0.0287	LR: 0.004000
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Training Epoch: 8 [10240/48750]	Loss: 0.0240	LR: 0.004000
Training Epoch: 8 [10496/48750]	Loss: 0.0288	LR: 0.004000
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Training Epoch: 8 [14336/48750]	Loss: 0.0216	LR: 0.004000
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Training Epoch: 8 [16128/48750]	Loss: 0.0330	LR: 0.004000
Training Epoch: 8 [16384/48750]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [16640/48750]	Loss: 0.0314	LR: 0.004000
Training Epoch: 8 [16896/48750]	Loss: 0.0398	LR: 0.004000
Training Epoch: 8 [17152/48750]	Loss: 0.0282	LR: 0.004000
Training Epoch: 8 [17408/48750]	Loss: 0.0246	LR: 0.004000
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Training Epoch: 8 [17920/48750]	Loss: 0.0266	LR: 0.004000
Training Epoch: 8 [18176/48750]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [18432/48750]	Loss: 0.0334	LR: 0.004000
Training Epoch: 8 [18688/48750]	Loss: 0.0282	LR: 0.004000
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Training Epoch: 8 [19200/48750]	Loss: 0.0362	LR: 0.004000
Training Epoch: 8 [19456/48750]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [19712/48750]	Loss: 0.0268	LR: 0.004000
Training Epoch: 8 [19968/48750]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [20224/48750]	Loss: 0.0282	LR: 0.004000
Training Epoch: 8 [20480/48750]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [20736/48750]	Loss: 0.0188	LR: 0.004000
Training Epoch: 8 [20992/48750]	Loss: 0.0240	LR: 0.004000
Training Epoch: 8 [21248/48750]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [21504/48750]	Loss: 0.0266	LR: 0.004000
Training Epoch: 8 [21760/48750]	Loss: 0.0305	LR: 0.004000
Training Epoch: 8 [22016/48750]	Loss: 0.0249	LR: 0.004000
Training Epoch: 8 [22272/48750]	Loss: 0.0357	LR: 0.004000
Training Epoch: 8 [22528/48750]	Loss: 0.0284	LR: 0.004000
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Training Epoch: 8 [23040/48750]	Loss: 0.0204	LR: 0.004000
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Training Epoch: 8 [24320/48750]	Loss: 0.0324	LR: 0.004000
Training Epoch: 8 [24576/48750]	Loss: 0.0183	LR: 0.004000
Training Epoch: 8 [24832/48750]	Loss: 0.0155	LR: 0.004000
Training Epoch: 8 [25088/48750]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [25344/48750]	Loss: 0.0223	LR: 0.004000
Training Epoch: 8 [25600/48750]	Loss: 0.0514	LR: 0.004000
Training Epoch: 8 [25856/48750]	Loss: 0.0186	LR: 0.004000
Training Epoch: 8 [26112/48750]	Loss: 0.0249	LR: 0.004000
Training Epoch: 8 [26368/48750]	Loss: 0.0165	LR: 0.004000
Training Epoch: 8 [26624/48750]	Loss: 0.0239	LR: 0.004000
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Training Epoch: 8 [27904/48750]	Loss: 0.0214	LR: 0.004000
Training Epoch: 8 [28160/48750]	Loss: 0.0181	LR: 0.004000
Training Epoch: 8 [28416/48750]	Loss: 0.0273	LR: 0.004000
Training Epoch: 8 [28672/48750]	Loss: 0.0313	LR: 0.004000
Training Epoch: 8 [28928/48750]	Loss: 0.0353	LR: 0.004000
Training Epoch: 8 [29184/48750]	Loss: 0.0222	LR: 0.004000
Training Epoch: 8 [29440/48750]	Loss: 0.0283	LR: 0.004000
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Training Epoch: 8 [29952/48750]	Loss: 0.0219	LR: 0.004000
Training Epoch: 8 [30208/48750]	Loss: 0.0268	LR: 0.004000
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Training Epoch: 8 [31232/48750]	Loss: 0.0277	LR: 0.004000
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Training Epoch: 8 [31744/48750]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [32000/48750]	Loss: 0.0235	LR: 0.004000
Training Epoch: 8 [32256/48750]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [32512/48750]	Loss: 0.0207	LR: 0.004000
Training Epoch: 8 [32768/48750]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [33024/48750]	Loss: 0.0196	LR: 0.004000
Training Epoch: 8 [33280/48750]	Loss: 0.0171	LR: 0.004000
Training Epoch: 8 [33536/48750]	Loss: 0.0239	LR: 0.004000
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Training Epoch: 8 [34560/48750]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [34816/48750]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [35072/48750]	Loss: 0.0219	LR: 0.004000
Training Epoch: 8 [35328/48750]	Loss: 0.0202	LR: 0.004000
Training Epoch: 8 [35584/48750]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [35840/48750]	Loss: 0.0311	LR: 0.004000
Training Epoch: 8 [36096/48750]	Loss: 0.0431	LR: 0.004000
Training Epoch: 8 [36352/48750]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [36608/48750]	Loss: 0.0417	LR: 0.004000
Training Epoch: 8 [36864/48750]	Loss: 0.0201	LR: 0.004000
Training Epoch: 8 [37120/48750]	Loss: 0.0169	LR: 0.004000
Training Epoch: 8 [37376/48750]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [37632/48750]	Loss: 0.0382	LR: 0.004000
Training Epoch: 8 [37888/48750]	Loss: 0.0205	LR: 0.004000
Training Epoch: 8 [38144/48750]	Loss: 0.0214	LR: 0.004000
Training Epoch: 8 [38400/48750]	Loss: 0.0180	LR: 0.004000
Training Epoch: 8 [38656/48750]	Loss: 0.0289	LR: 0.004000
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Training Epoch: 8 [39168/48750]	Loss: 0.0222	LR: 0.004000
Training Epoch: 8 [39424/48750]	Loss: 0.0258	LR: 0.004000
Training Epoch: 8 [39680/48750]	Loss: 0.0291	LR: 0.004000
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Training Epoch: 8 [40192/48750]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [40448/48750]	Loss: 0.0195	LR: 0.004000
Training Epoch: 8 [40704/48750]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [40960/48750]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [41216/48750]	Loss: 0.0350	LR: 0.004000
Training Epoch: 8 [41472/48750]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [41728/48750]	Loss: 0.0297	LR: 0.004000
Training Epoch: 8 [41984/48750]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [42240/48750]	Loss: 0.0328	LR: 0.004000
Training Epoch: 8 [42496/48750]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [42752/48750]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [43008/48750]	Loss: 0.0188	LR: 0.004000
Training Epoch: 8 [43264/48750]	Loss: 0.0291	LR: 0.004000
Training Epoch: 8 [43520/48750]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [43776/48750]	Loss: 0.0186	LR: 0.004000
Training Epoch: 8 [44032/48750]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [44288/48750]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [44544/48750]	Loss: 0.0232	LR: 0.004000
Training Epoch: 8 [44800/48750]	Loss: 0.0216	LR: 0.004000
Training Epoch: 8 [45056/48750]	Loss: 0.0262	LR: 0.004000
Training Epoch: 8 [45312/48750]	Loss: 0.0380	LR: 0.004000
Training Epoch: 8 [45568/48750]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [45824/48750]	Loss: 0.0200	LR: 0.004000
Training Epoch: 8 [46080/48750]	Loss: 0.0253	LR: 0.004000
Training Epoch: 8 [46336/48750]	Loss: 0.0355	LR: 0.004000
Training Epoch: 8 [46592/48750]	Loss: 0.0237	LR: 0.004000
Training Epoch: 8 [46848/48750]	Loss: 0.0242	LR: 0.004000
Training Epoch: 8 [47104/48750]	Loss: 0.0442	LR: 0.004000
Training Epoch: 8 [47360/48750]	Loss: 0.0188	LR: 0.004000
Training Epoch: 8 [47616/48750]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [47872/48750]	Loss: 0.0309	LR: 0.004000
Training Epoch: 8 [48128/48750]	Loss: 0.0396	LR: 0.004000
Training Epoch: 8 [48384/48750]	Loss: 0.0265	LR: 0.004000
Training Epoch: 8 [48640/48750]	Loss: 0.0304	LR: 0.004000
Training Epoch: 8 [48750/48750]	Loss: 0.0353	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0284, Train Accuracy: 0.9967
Epoch 8 training time consumed: 19.10s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0026, Accuracy: 0.8265, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_11m_26s/ResNet18-Cifar10-seed9-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.0188	LR: 0.000800
Training Epoch: 9 [512/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [768/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [1024/48750]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [1280/48750]	Loss: 0.0248	LR: 0.000800
Training Epoch: 9 [1536/48750]	Loss: 0.0210	LR: 0.000800
Training Epoch: 9 [1792/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [2048/48750]	Loss: 0.0172	LR: 0.000800
Training Epoch: 9 [2304/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [2560/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [2816/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [3072/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [3328/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [3584/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [3840/48750]	Loss: 0.0173	LR: 0.000800
Training Epoch: 9 [4096/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [4352/48750]	Loss: 0.0167	LR: 0.000800
Training Epoch: 9 [4608/48750]	Loss: 0.0195	LR: 0.000800
Training Epoch: 9 [4864/48750]	Loss: 0.0171	LR: 0.000800
Training Epoch: 9 [5120/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [5376/48750]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [5632/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [5888/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [6144/48750]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [6400/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [6656/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [6912/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [7168/48750]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [7424/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [7680/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [7936/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [8192/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [8448/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [8704/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [8960/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [9216/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [9472/48750]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [9728/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [9984/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [10240/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [10496/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [10752/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [11008/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [11264/48750]	Loss: 0.0179	LR: 0.000800
Training Epoch: 9 [11520/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [11776/48750]	Loss: 0.0186	LR: 0.000800
Training Epoch: 9 [12032/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [12288/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [12544/48750]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [12800/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [13056/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [13312/48750]	Loss: 0.0216	LR: 0.000800
Training Epoch: 9 [13568/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [13824/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [14080/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [14336/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [14592/48750]	Loss: 0.0178	LR: 0.000800
Training Epoch: 9 [14848/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [15104/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [15360/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [15616/48750]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [15872/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [16128/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [16384/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [16640/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [16896/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [17152/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [17408/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [17664/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [17920/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [18176/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [18432/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [18688/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [18944/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [19200/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [19456/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [19712/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [19968/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [20224/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [20480/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [20736/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [20992/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [21248/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [21504/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [21760/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [22016/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [22272/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [22528/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [22784/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [23040/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [23296/48750]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [23552/48750]	Loss: 0.0201	LR: 0.000800
Training Epoch: 9 [23808/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [24064/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [24320/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [24576/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [24832/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [25088/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [25344/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [25600/48750]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [25856/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [26112/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [26368/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [26624/48750]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [26880/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [27136/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [27392/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [27648/48750]	Loss: 0.0191	LR: 0.000800
Training Epoch: 9 [27904/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [28160/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [28416/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [28672/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [28928/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [29184/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [29440/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [29696/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [29952/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [30208/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [30464/48750]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [30720/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [30976/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [31232/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [31488/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [31744/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [32000/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [32256/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [32512/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [32768/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [33024/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [33280/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [33536/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [33792/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [34048/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [34304/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [34560/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [34816/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [35072/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [35328/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [35584/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [35840/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [36096/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [36352/48750]	Loss: 0.0247	LR: 0.000800
Training Epoch: 9 [36608/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [36864/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [37120/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [37376/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [37632/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [37888/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [38144/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [38400/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [38656/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [38912/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [39168/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [39424/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [39680/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [39936/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [40192/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [40448/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [40704/48750]	Loss: 0.0158	LR: 0.000800
Training Epoch: 9 [40960/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [41216/48750]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [41472/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [41728/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [41984/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [42240/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [42496/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [42752/48750]	Loss: 0.0172	LR: 0.000800
Training Epoch: 9 [43008/48750]	Loss: 0.0195	LR: 0.000800
Training Epoch: 9 [43264/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [43520/48750]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [43776/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [44032/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [44288/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [44544/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [44800/48750]	Loss: 0.0171	LR: 0.000800
Training Epoch: 9 [45056/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [45312/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [45568/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [45824/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [46080/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [46336/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [46592/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [46848/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [47104/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [47360/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [47616/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [47872/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [48128/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [48384/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [48640/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [48750/48750]	Loss: 0.0074	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0129, Train Accuracy: 0.9997
Epoch 9 training time consumed: 19.03s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8301, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_11m_26s/ResNet18-Cifar10-seed9-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [512/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [768/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [1024/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [1280/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [1536/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [1792/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [2048/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [2304/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [2560/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [2816/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [3072/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [3328/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [3584/48750]	Loss: 0.0065	LR: 0.000800
Training Epoch: 10 [3840/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [4096/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [4352/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [4608/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [4864/48750]	Loss: 0.0158	LR: 0.000800
Training Epoch: 10 [5120/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [5376/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [5632/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [5888/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [6144/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [6400/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [6656/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [6912/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [7168/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [7424/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [7680/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [7936/48750]	Loss: 0.0095	LR: 0.000800
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Training Epoch: 10 [8448/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [8704/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [8960/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [9216/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [9472/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [9728/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [9984/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 10 [10240/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [10496/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [10752/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [11008/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [11264/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [11520/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 10 [11776/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [12032/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [12288/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [12544/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [12800/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [13056/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [13312/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [13568/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [13824/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [14080/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [14336/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [14592/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [14848/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [15104/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [15360/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [15616/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [15872/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [16128/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [16384/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [16640/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [16896/48750]	Loss: 0.0226	LR: 0.000800
Training Epoch: 10 [17152/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 10 [17408/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [17664/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [17920/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [18176/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [18432/48750]	Loss: 0.0164	LR: 0.000800
Training Epoch: 10 [18688/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [18944/48750]	Loss: 0.0064	LR: 0.000800
Training Epoch: 10 [19200/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [19456/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [19712/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [19968/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [20224/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [20480/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [20736/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [20992/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [21248/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [21504/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [21760/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [22016/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [22272/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [22528/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [22784/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [23040/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [23296/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [23552/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [23808/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [24064/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 10 [24320/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [24576/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [24832/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [25088/48750]	Loss: 0.0201	LR: 0.000800
Training Epoch: 10 [25344/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [25600/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [25856/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [26112/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [26368/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [26624/48750]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [26880/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [27136/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [27392/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [27648/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [27904/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [28160/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [28416/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [28672/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [28928/48750]	Loss: 0.0161	LR: 0.000800
Training Epoch: 10 [29184/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [29440/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [29696/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [29952/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [30208/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [30464/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [30720/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [30976/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [31232/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [31488/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [31744/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [32000/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [32256/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [32512/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [32768/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [33024/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [33280/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [33536/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [33792/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [34048/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [34304/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 10 [34560/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [34816/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [35072/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [35328/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [35584/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [35840/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [36096/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [36352/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [36608/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [36864/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [37120/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [37376/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [37632/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [37888/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [38144/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [38400/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [38656/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [38912/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [39168/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [39424/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [39680/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [39936/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [40192/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [40448/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [40704/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [40960/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [41216/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [41472/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [41728/48750]	Loss: 0.0154	LR: 0.000800
Training Epoch: 10 [41984/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [42240/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [42496/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [42752/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [43008/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [43264/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [43520/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [43776/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [44032/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [44288/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [44544/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [44800/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [45056/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [45312/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [45568/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [45824/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [46080/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [46336/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [46592/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [46848/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [47104/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [47360/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [47616/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [47872/48750]	Loss: 0.0166	LR: 0.000800
Training Epoch: 10 [48128/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [48384/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [48640/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 10 [48750/48750]	Loss: 0.0132	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0104, Train Accuracy: 0.9999
Epoch 10 training time consumed: 19.36s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0026, Accuracy: 0.8299, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_11m_26s/ResNet18-Cifar10-seed9-ret75-10-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 83.095703125
Retain Accuracy: 99.9918212890625
Zero-Retain Forget (ZRF): 0.7718106508255005
Membership Inference Attack (MIA): 0.64
Forget vs Retain Membership Inference Attack (MIA): 0.58
Forget vs Test Membership Inference Attack (MIA): 0.51
Test vs Retain Membership Inference Attack (MIA): 0.61325
Train vs Test Membership Inference Attack (MIA): 0.6265
Forget Set Accuracy (Df): 83.9906005859375
Method Execution Time: 1112.97 seconds
