hello
hello
Labels

📌S Retain class distribution for seed 6:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

📌S Forget class distribution for seed 6:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500
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: 2.3608	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3639	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3539	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3613	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2957	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2376	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.1828	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2474	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.1634	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.1394	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2071	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1767	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.0775	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 1.9968	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0492	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0049	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0127	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9009	LR: 0.008901
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Training Epoch: 1 [5888/48750]	Loss: 1.7609	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.6790	LR: 0.012042
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Training Epoch: 1 [6656/48750]	Loss: 1.9604	LR: 0.013089
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Training Epoch: 1 [7424/48750]	Loss: 1.8113	LR: 0.014660
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Training Epoch: 1 [7936/48750]	Loss: 1.7652	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8199	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.7893	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8324	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8058	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8203	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.6452	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.7510	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.7182	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.6115	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7280	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.6634	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7998	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7107	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.6366	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7149	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7994	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.6215	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6596	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.6984	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.6870	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6010	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.5305	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.5863	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.6803	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6168	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.6112	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6467	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.5313	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6330	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.6325	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.4968	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.6217	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.5131	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.5765	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.5418	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.7224	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6141	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6120	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6536	LR: 0.036126
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Training Epoch: 1 [18944/48750]	Loss: 1.7486	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.7360	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.7667	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.4791	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.7223	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.5885	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6284	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.4036	LR: 0.041885
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Training Epoch: 1 [21248/48750]	Loss: 1.3297	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.4708	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.4801	LR: 0.043979
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Training Epoch: 1 [22272/48750]	Loss: 1.4865	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6579	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.6614	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6209	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.4806	LR: 0.047120
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Training Epoch: 1 [23808/48750]	Loss: 1.3430	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5203	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.4729	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.3842	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.4003	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.5846	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.4789	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.3759	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.5221	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.4081	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.4464	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.4534	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.3165	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.2394	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.4241	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.4443	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.3442	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.3076	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.3401	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.4491	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.5144	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.3060	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4364	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.2297	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5207	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.3006	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.2140	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5078	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.2477	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.5826	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.2817	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.5228	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.1994	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.2373	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.6553	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.3399	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5950	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.4614	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.1754	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.2982	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.3186	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.3877	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.3693	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.4840	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.3019	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4930	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.2033	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.3653	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.4316	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.4182	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.3021	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.1879	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.2849	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.2480	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.2491	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.2141	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.2394	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.3701	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.1184	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.2402	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.3563	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.1358	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.2410	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.2772	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.2736	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.2768	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.3756	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.2788	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.2720	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.3157	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.2814	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.2305	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.3173	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.2984	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.1313	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.1867	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.1345	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3178	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.0984	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.0672	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.1807	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.1328	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.2706	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.0476	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.0069	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.2069	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.2613	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.2606	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.2389	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.2157	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.1632	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.1772	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.1547	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.1761	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.1443	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.1962	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.0238	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.0663	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.1230	LR: 0.099476
Epoch 1 - Average Train Loss: 1.5296, Train Accuracy: 0.4436
Epoch 1 training time consumed: 19.67s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0059, Accuracy: 0.5079, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_14m_01s/ResNet18-Cifar10-seed6-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.0733	LR: 0.020000
Training Epoch: 2 [512/48750]	Loss: 1.0022	LR: 0.020000
Training Epoch: 2 [768/48750]	Loss: 1.0025	LR: 0.020000
Training Epoch: 2 [1024/48750]	Loss: 0.9749	LR: 0.020000
Training Epoch: 2 [1280/48750]	Loss: 0.9699	LR: 0.020000
Training Epoch: 2 [1536/48750]	Loss: 0.9840	LR: 0.020000
Training Epoch: 2 [1792/48750]	Loss: 1.1161	LR: 0.020000
Training Epoch: 2 [2048/48750]	Loss: 0.8142	LR: 0.020000
Training Epoch: 2 [2304/48750]	Loss: 0.9645	LR: 0.020000
Training Epoch: 2 [2560/48750]	Loss: 0.8832	LR: 0.020000
Training Epoch: 2 [2816/48750]	Loss: 0.9787	LR: 0.020000
Training Epoch: 2 [3072/48750]	Loss: 0.9128	LR: 0.020000
Training Epoch: 2 [3328/48750]	Loss: 1.0481	LR: 0.020000
Training Epoch: 2 [3584/48750]	Loss: 0.9071	LR: 0.020000
Training Epoch: 2 [3840/48750]	Loss: 1.0471	LR: 0.020000
Training Epoch: 2 [4096/48750]	Loss: 0.9434	LR: 0.020000
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Training Epoch: 2 [4608/48750]	Loss: 0.7940	LR: 0.020000
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Training Epoch: 2 [6656/48750]	Loss: 0.7561	LR: 0.020000
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Training Epoch: 2 [10240/48750]	Loss: 0.7820	LR: 0.020000
Training Epoch: 2 [10496/48750]	Loss: 0.9190	LR: 0.020000
Training Epoch: 2 [10752/48750]	Loss: 0.8211	LR: 0.020000
Training Epoch: 2 [11008/48750]	Loss: 0.8442	LR: 0.020000
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Training Epoch: 2 [11776/48750]	Loss: 0.7872	LR: 0.020000
Training Epoch: 2 [12032/48750]	Loss: 0.8291	LR: 0.020000
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Training Epoch: 2 [14336/48750]	Loss: 0.8205	LR: 0.020000
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Training Epoch: 2 [16640/48750]	Loss: 0.8112	LR: 0.020000
Training Epoch: 2 [16896/48750]	Loss: 0.7150	LR: 0.020000
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Training Epoch: 2 [20224/48750]	Loss: 0.7595	LR: 0.020000
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Training Epoch: 2 [47616/48750]	Loss: 0.6825	LR: 0.020000
Training Epoch: 2 [47872/48750]	Loss: 0.7037	LR: 0.020000
Training Epoch: 2 [48128/48750]	Loss: 0.7438	LR: 0.020000
Training Epoch: 2 [48384/48750]	Loss: 0.6972	LR: 0.020000
Training Epoch: 2 [48640/48750]	Loss: 0.7783	LR: 0.020000
Training Epoch: 2 [48750/48750]	Loss: 0.8045	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7886, Train Accuracy: 0.7215
Epoch 2 training time consumed: 19.35s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0030, Accuracy: 0.7337, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_14m_01s/ResNet18-Cifar10-seed6-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.6480	LR: 0.020000
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Training Epoch: 3 [44544/48750]	Loss: 0.5862	LR: 0.020000
Training Epoch: 3 [44800/48750]	Loss: 0.5214	LR: 0.020000
Training Epoch: 3 [45056/48750]	Loss: 0.7064	LR: 0.020000
Training Epoch: 3 [45312/48750]	Loss: 0.4883	LR: 0.020000
Training Epoch: 3 [45568/48750]	Loss: 0.5485	LR: 0.020000
Training Epoch: 3 [45824/48750]	Loss: 0.6343	LR: 0.020000
Training Epoch: 3 [46080/48750]	Loss: 0.6195	LR: 0.020000
Training Epoch: 3 [46336/48750]	Loss: 0.5715	LR: 0.020000
Training Epoch: 3 [46592/48750]	Loss: 0.6341	LR: 0.020000
Training Epoch: 3 [46848/48750]	Loss: 0.6000	LR: 0.020000
Training Epoch: 3 [47104/48750]	Loss: 0.5718	LR: 0.020000
Training Epoch: 3 [47360/48750]	Loss: 0.6247	LR: 0.020000
Training Epoch: 3 [47616/48750]	Loss: 0.4588	LR: 0.020000
Training Epoch: 3 [47872/48750]	Loss: 0.4299	LR: 0.020000
Training Epoch: 3 [48128/48750]	Loss: 0.5713	LR: 0.020000
Training Epoch: 3 [48384/48750]	Loss: 0.6180	LR: 0.020000
Training Epoch: 3 [48640/48750]	Loss: 0.3774	LR: 0.020000
Training Epoch: 3 [48750/48750]	Loss: 0.5338	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5872, Train Accuracy: 0.7926
Epoch 3 training time consumed: 19.09s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0030, Accuracy: 0.7431, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_14m_01s/ResNet18-Cifar10-seed6-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.4077	LR: 0.020000
Training Epoch: 4 [512/48750]	Loss: 0.3940	LR: 0.020000
Training Epoch: 4 [768/48750]	Loss: 0.4091	LR: 0.020000
Training Epoch: 4 [1024/48750]	Loss: 0.5031	LR: 0.020000
Training Epoch: 4 [1280/48750]	Loss: 0.4687	LR: 0.020000
Training Epoch: 4 [1536/48750]	Loss: 0.3493	LR: 0.020000
Training Epoch: 4 [1792/48750]	Loss: 0.4058	LR: 0.020000
Training Epoch: 4 [2048/48750]	Loss: 0.4558	LR: 0.020000
Training Epoch: 4 [2304/48750]	Loss: 0.3962	LR: 0.020000
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Training Epoch: 4 [2816/48750]	Loss: 0.4540	LR: 0.020000
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Training Epoch: 4 [45056/48750]	Loss: 0.4682	LR: 0.020000
Training Epoch: 4 [45312/48750]	Loss: 0.4995	LR: 0.020000
Training Epoch: 4 [45568/48750]	Loss: 0.4981	LR: 0.020000
Training Epoch: 4 [45824/48750]	Loss: 0.5090	LR: 0.020000
Training Epoch: 4 [46080/48750]	Loss: 0.4544	LR: 0.020000
Training Epoch: 4 [46336/48750]	Loss: 0.4065	LR: 0.020000
Training Epoch: 4 [46592/48750]	Loss: 0.4858	LR: 0.020000
Training Epoch: 4 [46848/48750]	Loss: 0.4942	LR: 0.020000
Training Epoch: 4 [47104/48750]	Loss: 0.3903	LR: 0.020000
Training Epoch: 4 [47360/48750]	Loss: 0.5775	LR: 0.020000
Training Epoch: 4 [47616/48750]	Loss: 0.4011	LR: 0.020000
Training Epoch: 4 [47872/48750]	Loss: 0.5371	LR: 0.020000
Training Epoch: 4 [48128/48750]	Loss: 0.4627	LR: 0.020000
Training Epoch: 4 [48384/48750]	Loss: 0.4446	LR: 0.020000
Training Epoch: 4 [48640/48750]	Loss: 0.5686	LR: 0.020000
Training Epoch: 4 [48750/48750]	Loss: 0.4224	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4488, Train Accuracy: 0.8421
Epoch 4 training time consumed: 19.39s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0030, Accuracy: 0.7478, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_14m_01s/ResNet18-Cifar10-seed6-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.3083	LR: 0.004000
Training Epoch: 5 [512/48750]	Loss: 0.3754	LR: 0.004000
Training Epoch: 5 [768/48750]	Loss: 0.2809	LR: 0.004000
Training Epoch: 5 [1024/48750]	Loss: 0.2982	LR: 0.004000
Training Epoch: 5 [1280/48750]	Loss: 0.2983	LR: 0.004000
Training Epoch: 5 [1536/48750]	Loss: 0.3668	LR: 0.004000
Training Epoch: 5 [1792/48750]	Loss: 0.3067	LR: 0.004000
Training Epoch: 5 [2048/48750]	Loss: 0.3417	LR: 0.004000
Training Epoch: 5 [2304/48750]	Loss: 0.3034	LR: 0.004000
Training Epoch: 5 [2560/48750]	Loss: 0.2941	LR: 0.004000
Training Epoch: 5 [2816/48750]	Loss: 0.2264	LR: 0.004000
Training Epoch: 5 [3072/48750]	Loss: 0.2092	LR: 0.004000
Training Epoch: 5 [3328/48750]	Loss: 0.2376	LR: 0.004000
Training Epoch: 5 [3584/48750]	Loss: 0.2800	LR: 0.004000
Training Epoch: 5 [3840/48750]	Loss: 0.2805	LR: 0.004000
Training Epoch: 5 [4096/48750]	Loss: 0.2353	LR: 0.004000
Training Epoch: 5 [4352/48750]	Loss: 0.3033	LR: 0.004000
Training Epoch: 5 [4608/48750]	Loss: 0.2671	LR: 0.004000
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Training Epoch: 5 [5120/48750]	Loss: 0.2137	LR: 0.004000
Training Epoch: 5 [5376/48750]	Loss: 0.2318	LR: 0.004000
Training Epoch: 5 [5632/48750]	Loss: 0.2878	LR: 0.004000
Training Epoch: 5 [5888/48750]	Loss: 0.2231	LR: 0.004000
Training Epoch: 5 [6144/48750]	Loss: 0.2985	LR: 0.004000
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Training Epoch: 5 [18688/48750]	Loss: 0.2696	LR: 0.004000
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Training Epoch: 5 [46848/48750]	Loss: 0.1784	LR: 0.004000
Training Epoch: 5 [47104/48750]	Loss: 0.2053	LR: 0.004000
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Training Epoch: 5 [47616/48750]	Loss: 0.1863	LR: 0.004000
Training Epoch: 5 [47872/48750]	Loss: 0.1459	LR: 0.004000
Training Epoch: 5 [48128/48750]	Loss: 0.1918	LR: 0.004000
Training Epoch: 5 [48384/48750]	Loss: 0.1916	LR: 0.004000
Training Epoch: 5 [48640/48750]	Loss: 0.2368	LR: 0.004000
Training Epoch: 5 [48750/48750]	Loss: 0.2996	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2110, Train Accuracy: 0.9318
Epoch 5 training time consumed: 19.01s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8196, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_14m_01s/ResNet18-Cifar10-seed6-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.1182	LR: 0.004000
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Training Epoch: 6 [1536/48750]	Loss: 0.1084	LR: 0.004000
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Training Epoch: 6 [36352/48750]	Loss: 0.1136	LR: 0.004000
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Training Epoch: 6 [40960/48750]	Loss: 0.0997	LR: 0.004000
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Training Epoch: 6 [43008/48750]	Loss: 0.0902	LR: 0.004000
Training Epoch: 6 [43264/48750]	Loss: 0.0806	LR: 0.004000
Training Epoch: 6 [43520/48750]	Loss: 0.1232	LR: 0.004000
Training Epoch: 6 [43776/48750]	Loss: 0.1364	LR: 0.004000
Training Epoch: 6 [44032/48750]	Loss: 0.1300	LR: 0.004000
Training Epoch: 6 [44288/48750]	Loss: 0.0740	LR: 0.004000
Training Epoch: 6 [44544/48750]	Loss: 0.0837	LR: 0.004000
Training Epoch: 6 [44800/48750]	Loss: 0.1439	LR: 0.004000
Training Epoch: 6 [45056/48750]	Loss: 0.1785	LR: 0.004000
Training Epoch: 6 [45312/48750]	Loss: 0.1160	LR: 0.004000
Training Epoch: 6 [45568/48750]	Loss: 0.1010	LR: 0.004000
Training Epoch: 6 [45824/48750]	Loss: 0.0965	LR: 0.004000
Training Epoch: 6 [46080/48750]	Loss: 0.0837	LR: 0.004000
Training Epoch: 6 [46336/48750]	Loss: 0.0707	LR: 0.004000
Training Epoch: 6 [46592/48750]	Loss: 0.1064	LR: 0.004000
Training Epoch: 6 [46848/48750]	Loss: 0.1365	LR: 0.004000
Training Epoch: 6 [47104/48750]	Loss: 0.1107	LR: 0.004000
Training Epoch: 6 [47360/48750]	Loss: 0.0745	LR: 0.004000
Training Epoch: 6 [47616/48750]	Loss: 0.1093	LR: 0.004000
Training Epoch: 6 [47872/48750]	Loss: 0.0876	LR: 0.004000
Training Epoch: 6 [48128/48750]	Loss: 0.1142	LR: 0.004000
Training Epoch: 6 [48384/48750]	Loss: 0.1445	LR: 0.004000
Training Epoch: 6 [48640/48750]	Loss: 0.1014	LR: 0.004000
Training Epoch: 6 [48750/48750]	Loss: 0.0776	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1137, Train Accuracy: 0.9681
Epoch 6 training time consumed: 18.97s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8228, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_14m_01s/ResNet18-Cifar10-seed6-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.0589	LR: 0.004000
Training Epoch: 7 [512/48750]	Loss: 0.0452	LR: 0.004000
Training Epoch: 7 [768/48750]	Loss: 0.0673	LR: 0.004000
Training Epoch: 7 [1024/48750]	Loss: 0.0515	LR: 0.004000
Training Epoch: 7 [1280/48750]	Loss: 0.0448	LR: 0.004000
Training Epoch: 7 [1536/48750]	Loss: 0.0637	LR: 0.004000
Training Epoch: 7 [1792/48750]	Loss: 0.0627	LR: 0.004000
Training Epoch: 7 [2048/48750]	Loss: 0.0635	LR: 0.004000
Training Epoch: 7 [2304/48750]	Loss: 0.0574	LR: 0.004000
Training Epoch: 7 [2560/48750]	Loss: 0.0502	LR: 0.004000
Training Epoch: 7 [2816/48750]	Loss: 0.0602	LR: 0.004000
Training Epoch: 7 [3072/48750]	Loss: 0.0603	LR: 0.004000
Training Epoch: 7 [3328/48750]	Loss: 0.0734	LR: 0.004000
Training Epoch: 7 [3584/48750]	Loss: 0.0609	LR: 0.004000
Training Epoch: 7 [3840/48750]	Loss: 0.0760	LR: 0.004000
Training Epoch: 7 [4096/48750]	Loss: 0.0568	LR: 0.004000
Training Epoch: 7 [4352/48750]	Loss: 0.0556	LR: 0.004000
Training Epoch: 7 [4608/48750]	Loss: 0.0593	LR: 0.004000
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Training Epoch: 7 [9472/48750]	Loss: 0.0353	LR: 0.004000
Training Epoch: 7 [9728/48750]	Loss: 0.0635	LR: 0.004000
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Training Epoch: 7 [10496/48750]	Loss: 0.0836	LR: 0.004000
Training Epoch: 7 [10752/48750]	Loss: 0.0594	LR: 0.004000
Training Epoch: 7 [11008/48750]	Loss: 0.0447	LR: 0.004000
Training Epoch: 7 [11264/48750]	Loss: 0.0441	LR: 0.004000
Training Epoch: 7 [11520/48750]	Loss: 0.0653	LR: 0.004000
Training Epoch: 7 [11776/48750]	Loss: 0.0766	LR: 0.004000
Training Epoch: 7 [12032/48750]	Loss: 0.0506	LR: 0.004000
Training Epoch: 7 [12288/48750]	Loss: 0.0601	LR: 0.004000
Training Epoch: 7 [12544/48750]	Loss: 0.0443	LR: 0.004000
Training Epoch: 7 [12800/48750]	Loss: 0.0421	LR: 0.004000
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Training Epoch: 7 [15104/48750]	Loss: 0.0732	LR: 0.004000
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Training Epoch: 7 [15872/48750]	Loss: 0.0485	LR: 0.004000
Training Epoch: 7 [16128/48750]	Loss: 0.0799	LR: 0.004000
Training Epoch: 7 [16384/48750]	Loss: 0.0421	LR: 0.004000
Training Epoch: 7 [16640/48750]	Loss: 0.0505	LR: 0.004000
Training Epoch: 7 [16896/48750]	Loss: 0.0546	LR: 0.004000
Training Epoch: 7 [17152/48750]	Loss: 0.0458	LR: 0.004000
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Training Epoch: 7 [40192/48750]	Loss: 0.0347	LR: 0.004000
Training Epoch: 7 [40448/48750]	Loss: 0.0404	LR: 0.004000
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Training Epoch: 7 [41984/48750]	Loss: 0.0791	LR: 0.004000
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Training Epoch: 7 [43264/48750]	Loss: 0.0942	LR: 0.004000
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Training Epoch: 7 [43776/48750]	Loss: 0.0565	LR: 0.004000
Training Epoch: 7 [44032/48750]	Loss: 0.0560	LR: 0.004000
Training Epoch: 7 [44288/48750]	Loss: 0.0455	LR: 0.004000
Training Epoch: 7 [44544/48750]	Loss: 0.0457	LR: 0.004000
Training Epoch: 7 [44800/48750]	Loss: 0.0496	LR: 0.004000
Training Epoch: 7 [45056/48750]	Loss: 0.0495	LR: 0.004000
Training Epoch: 7 [45312/48750]	Loss: 0.0404	LR: 0.004000
Training Epoch: 7 [45568/48750]	Loss: 0.0545	LR: 0.004000
Training Epoch: 7 [45824/48750]	Loss: 0.0525	LR: 0.004000
Training Epoch: 7 [46080/48750]	Loss: 0.0599	LR: 0.004000
Training Epoch: 7 [46336/48750]	Loss: 0.0642	LR: 0.004000
Training Epoch: 7 [46592/48750]	Loss: 0.0552	LR: 0.004000
Training Epoch: 7 [46848/48750]	Loss: 0.0823	LR: 0.004000
Training Epoch: 7 [47104/48750]	Loss: 0.0673	LR: 0.004000
Training Epoch: 7 [47360/48750]	Loss: 0.0567	LR: 0.004000
Training Epoch: 7 [47616/48750]	Loss: 0.0443	LR: 0.004000
Training Epoch: 7 [47872/48750]	Loss: 0.0744	LR: 0.004000
Training Epoch: 7 [48128/48750]	Loss: 0.0498	LR: 0.004000
Training Epoch: 7 [48384/48750]	Loss: 0.0765	LR: 0.004000
Training Epoch: 7 [48640/48750]	Loss: 0.0563	LR: 0.004000
Training Epoch: 7 [48750/48750]	Loss: 0.0900	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0567, Train Accuracy: 0.9882
Epoch 7 training time consumed: 19.08s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.8111, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_14m_01s/ResNet18-Cifar10-seed6-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0351	LR: 0.004000
Training Epoch: 8 [512/48750]	Loss: 0.0269	LR: 0.004000
Training Epoch: 8 [768/48750]	Loss: 0.0342	LR: 0.004000
Training Epoch: 8 [1024/48750]	Loss: 0.0298	LR: 0.004000
Training Epoch: 8 [1280/48750]	Loss: 0.0288	LR: 0.004000
Training Epoch: 8 [1536/48750]	Loss: 0.0319	LR: 0.004000
Training Epoch: 8 [1792/48750]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [2048/48750]	Loss: 0.0262	LR: 0.004000
Training Epoch: 8 [2304/48750]	Loss: 0.0415	LR: 0.004000
Training Epoch: 8 [2560/48750]	Loss: 0.0269	LR: 0.004000
Training Epoch: 8 [2816/48750]	Loss: 0.0168	LR: 0.004000
Training Epoch: 8 [3072/48750]	Loss: 0.0412	LR: 0.004000
Training Epoch: 8 [3328/48750]	Loss: 0.0359	LR: 0.004000
Training Epoch: 8 [3584/48750]	Loss: 0.0324	LR: 0.004000
Training Epoch: 8 [3840/48750]	Loss: 0.0182	LR: 0.004000
Training Epoch: 8 [4096/48750]	Loss: 0.0207	LR: 0.004000
Training Epoch: 8 [4352/48750]	Loss: 0.0292	LR: 0.004000
Training Epoch: 8 [4608/48750]	Loss: 0.0282	LR: 0.004000
Training Epoch: 8 [4864/48750]	Loss: 0.0380	LR: 0.004000
Training Epoch: 8 [5120/48750]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [5376/48750]	Loss: 0.0301	LR: 0.004000
Training Epoch: 8 [5632/48750]	Loss: 0.0279	LR: 0.004000
Training Epoch: 8 [5888/48750]	Loss: 0.0480	LR: 0.004000
Training Epoch: 8 [6144/48750]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [6400/48750]	Loss: 0.0316	LR: 0.004000
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Training Epoch: 8 [8448/48750]	Loss: 0.0235	LR: 0.004000
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Training Epoch: 8 [10240/48750]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [10496/48750]	Loss: 0.0205	LR: 0.004000
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Training Epoch: 8 [11008/48750]	Loss: 0.0204	LR: 0.004000
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Training Epoch: 8 [11520/48750]	Loss: 0.0203	LR: 0.004000
Training Epoch: 8 [11776/48750]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [12032/48750]	Loss: 0.0262	LR: 0.004000
Training Epoch: 8 [12288/48750]	Loss: 0.0242	LR: 0.004000
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Training Epoch: 8 [12800/48750]	Loss: 0.0265	LR: 0.004000
Training Epoch: 8 [13056/48750]	Loss: 0.0281	LR: 0.004000
Training Epoch: 8 [13312/48750]	Loss: 0.0307	LR: 0.004000
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Training Epoch: 8 [13824/48750]	Loss: 0.0338	LR: 0.004000
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Training Epoch: 8 [14336/48750]	Loss: 0.0259	LR: 0.004000
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Training Epoch: 8 [14848/48750]	Loss: 0.0350	LR: 0.004000
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Training Epoch: 8 [15616/48750]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [15872/48750]	Loss: 0.0219	LR: 0.004000
Training Epoch: 8 [16128/48750]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [16384/48750]	Loss: 0.0265	LR: 0.004000
Training Epoch: 8 [16640/48750]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [16896/48750]	Loss: 0.0252	LR: 0.004000
Training Epoch: 8 [17152/48750]	Loss: 0.0351	LR: 0.004000
Training Epoch: 8 [17408/48750]	Loss: 0.0240	LR: 0.004000
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Training Epoch: 8 [19712/48750]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [19968/48750]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [20224/48750]	Loss: 0.0204	LR: 0.004000
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Training Epoch: 8 [21504/48750]	Loss: 0.0222	LR: 0.004000
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Training Epoch: 8 [22016/48750]	Loss: 0.0235	LR: 0.004000
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Training Epoch: 8 [24832/48750]	Loss: 0.0214	LR: 0.004000
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Training Epoch: 8 [26112/48750]	Loss: 0.0193	LR: 0.004000
Training Epoch: 8 [26368/48750]	Loss: 0.0114	LR: 0.004000
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Training Epoch: 8 [27904/48750]	Loss: 0.0305	LR: 0.004000
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Training Epoch: 8 [28672/48750]	Loss: 0.0186	LR: 0.004000
Training Epoch: 8 [28928/48750]	Loss: 0.0202	LR: 0.004000
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Training Epoch: 8 [29440/48750]	Loss: 0.0174	LR: 0.004000
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Training Epoch: 8 [32256/48750]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [32512/48750]	Loss: 0.0237	LR: 0.004000
Training Epoch: 8 [32768/48750]	Loss: 0.0336	LR: 0.004000
Training Epoch: 8 [33024/48750]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [33280/48750]	Loss: 0.0285	LR: 0.004000
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Training Epoch: 8 [34816/48750]	Loss: 0.0289	LR: 0.004000
Training Epoch: 8 [35072/48750]	Loss: 0.0335	LR: 0.004000
Training Epoch: 8 [35328/48750]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [35584/48750]	Loss: 0.0172	LR: 0.004000
Training Epoch: 8 [35840/48750]	Loss: 0.0193	LR: 0.004000
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Training Epoch: 8 [36352/48750]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [36608/48750]	Loss: 0.0207	LR: 0.004000
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Training Epoch: 8 [37376/48750]	Loss: 0.0161	LR: 0.004000
Training Epoch: 8 [37632/48750]	Loss: 0.0149	LR: 0.004000
Training Epoch: 8 [37888/48750]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [38144/48750]	Loss: 0.0235	LR: 0.004000
Training Epoch: 8 [38400/48750]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [38656/48750]	Loss: 0.0254	LR: 0.004000
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Training Epoch: 8 [39168/48750]	Loss: 0.0322	LR: 0.004000
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Training Epoch: 8 [39680/48750]	Loss: 0.0161	LR: 0.004000
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Training Epoch: 8 [40448/48750]	Loss: 0.0195	LR: 0.004000
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Training Epoch: 8 [41216/48750]	Loss: 0.0209	LR: 0.004000
Training Epoch: 8 [41472/48750]	Loss: 0.0293	LR: 0.004000
Training Epoch: 8 [41728/48750]	Loss: 0.0224	LR: 0.004000
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Training Epoch: 8 [42240/48750]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [42496/48750]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [42752/48750]	Loss: 0.0193	LR: 0.004000
Training Epoch: 8 [43008/48750]	Loss: 0.0179	LR: 0.004000
Training Epoch: 8 [43264/48750]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [43520/48750]	Loss: 0.0245	LR: 0.004000
Training Epoch: 8 [43776/48750]	Loss: 0.0133	LR: 0.004000
Training Epoch: 8 [44032/48750]	Loss: 0.0145	LR: 0.004000
Training Epoch: 8 [44288/48750]	Loss: 0.0165	LR: 0.004000
Training Epoch: 8 [44544/48750]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [44800/48750]	Loss: 0.0202	LR: 0.004000
Training Epoch: 8 [45056/48750]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [45312/48750]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [45568/48750]	Loss: 0.0199	LR: 0.004000
Training Epoch: 8 [45824/48750]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [46080/48750]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [46336/48750]	Loss: 0.0204	LR: 0.004000
Training Epoch: 8 [46592/48750]	Loss: 0.0249	LR: 0.004000
Training Epoch: 8 [46848/48750]	Loss: 0.0247	LR: 0.004000
Training Epoch: 8 [47104/48750]	Loss: 0.0141	LR: 0.004000
Training Epoch: 8 [47360/48750]	Loss: 0.0178	LR: 0.004000
Training Epoch: 8 [47616/48750]	Loss: 0.0258	LR: 0.004000
Training Epoch: 8 [47872/48750]	Loss: 0.0168	LR: 0.004000
Training Epoch: 8 [48128/48750]	Loss: 0.0235	LR: 0.004000
Training Epoch: 8 [48384/48750]	Loss: 0.0162	LR: 0.004000
Training Epoch: 8 [48640/48750]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [48750/48750]	Loss: 0.0661	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0246, Train Accuracy: 0.9977
Epoch 8 training time consumed: 19.19s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8184, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_14m_01s/ResNet18-Cifar10-seed6-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [512/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [768/48750]	Loss: 0.0275	LR: 0.000800
Training Epoch: 9 [1024/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [1280/48750]	Loss: 0.0209	LR: 0.000800
Training Epoch: 9 [1536/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [1792/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [2048/48750]	Loss: 0.0173	LR: 0.000800
Training Epoch: 9 [2304/48750]	Loss: 0.0173	LR: 0.000800
Training Epoch: 9 [2560/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [2816/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [3072/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [3328/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [3584/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [3840/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [4096/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [4352/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [4608/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [4864/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [5120/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [5376/48750]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [5632/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [5888/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [6144/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [6400/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [6656/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [6912/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [7168/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [7424/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [7680/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [7936/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [8192/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [8448/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [8704/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [8960/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [9216/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [9472/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [9728/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [9984/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [10240/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [10496/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [10752/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [11008/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [11264/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [11520/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [11776/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [12032/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [12288/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [12544/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [12800/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [13056/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [13312/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [13568/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [13824/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [14080/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [14336/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [14592/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [14848/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [15104/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 9 [15360/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [15616/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [15872/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [16128/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [16384/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [16640/48750]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [16896/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [17152/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [17408/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [17664/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [17920/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [18176/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [18432/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [18688/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [18944/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [19200/48750]	Loss: 0.0176	LR: 0.000800
Training Epoch: 9 [19456/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [19712/48750]	Loss: 0.0155	LR: 0.000800
Training Epoch: 9 [19968/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [20224/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [20480/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [20736/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [20992/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 9 [21248/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [21504/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [21760/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [22016/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [22272/48750]	Loss: 0.0069	LR: 0.000800
Training Epoch: 9 [22528/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [22784/48750]	Loss: 0.0169	LR: 0.000800
Training Epoch: 9 [23040/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [23296/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [23552/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 9 [23808/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [24064/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 9 [24320/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [24576/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [24832/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [25088/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [25344/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [25600/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [25856/48750]	Loss: 0.0205	LR: 0.000800
Training Epoch: 9 [26112/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [26368/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [26624/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [26880/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [27136/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [27392/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [27648/48750]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [27904/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [28160/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [28416/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [28672/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [28928/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [29184/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [29440/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [29696/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [29952/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [30208/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [30464/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [30720/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [30976/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [31232/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [31488/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [31744/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [32000/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [32256/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [32512/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [32768/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [33024/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [33280/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [33536/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [33792/48750]	Loss: 0.0226	LR: 0.000800
Training Epoch: 9 [34048/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [34304/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [34560/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [34816/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [35072/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [35328/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [35584/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [35840/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [36096/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [36352/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [36608/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [36864/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [37120/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [37376/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [37632/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [37888/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [38144/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [38400/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [38656/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [38912/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [39168/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [39424/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [39680/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [39936/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 9 [40192/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [40448/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [40704/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [40960/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [41216/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [41472/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [41728/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [41984/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [42240/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [42496/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [42752/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [43008/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [43264/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [43520/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [43776/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [44032/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [44288/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [44544/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [44800/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [45056/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [45312/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [45568/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [45824/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [46080/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [46336/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [46592/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [46848/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [47104/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [47360/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [47616/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [47872/48750]	Loss: 0.0060	LR: 0.000800
Training Epoch: 9 [48128/48750]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [48384/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [48640/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [48750/48750]	Loss: 0.0117	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0113, Train Accuracy: 0.9998
Epoch 9 training time consumed: 19.18s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0027, Accuracy: 0.8251, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_14m_01s/ResNet18-Cifar10-seed6-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [512/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [768/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [1024/48750]	Loss: 0.0060	LR: 0.000800
Training Epoch: 10 [1280/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [1536/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [1792/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [2048/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [2304/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [2560/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [2816/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [3072/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [3328/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [3584/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [3840/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [4096/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [4352/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [4608/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [4864/48750]	Loss: 0.0059	LR: 0.000800
Training Epoch: 10 [5120/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [5376/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [5632/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [5888/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [6144/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [6400/48750]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [6656/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [6912/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [7168/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [7424/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [7680/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [7936/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [8192/48750]	Loss: 0.0060	LR: 0.000800
Training Epoch: 10 [8448/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [8704/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 10 [8960/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [9216/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [9472/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [9728/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [9984/48750]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [10240/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [10496/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [10752/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [11008/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [11264/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [11520/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [11776/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [12032/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [12288/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [12544/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [12800/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [13056/48750]	Loss: 0.0063	LR: 0.000800
Training Epoch: 10 [13312/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [13568/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [13824/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [14080/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [14336/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [14592/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [14848/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [15104/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [15360/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [15616/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [15872/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [16128/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [16384/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [16640/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [16896/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [17152/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [17408/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [17664/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [17920/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [18176/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [18432/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [18688/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [18944/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [19200/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [19456/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [19712/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [19968/48750]	Loss: 0.0067	LR: 0.000800
Training Epoch: 10 [20224/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [20480/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [20736/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [20992/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [21248/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [21504/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 10 [21760/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [22016/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [22272/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [22528/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [22784/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [23040/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [23296/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [23552/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [23808/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [24064/48750]	Loss: 0.0067	LR: 0.000800
Training Epoch: 10 [24320/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [24576/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [24832/48750]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [25088/48750]	Loss: 0.0153	LR: 0.000800
Training Epoch: 10 [25344/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [25600/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [25856/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [26112/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [26368/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [26624/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [26880/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 10 [27136/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [27392/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [27648/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [27904/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [28160/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [28416/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [28672/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [28928/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [29184/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [29440/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [29696/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [29952/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [30208/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [30464/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [30720/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [30976/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [31232/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [31488/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [31744/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [32000/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [32256/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [32512/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [32768/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [33024/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [33280/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 10 [33536/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [33792/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [34048/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [34304/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [34560/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [34816/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [35072/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [35328/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [35584/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [35840/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [36096/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [36352/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [36608/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [36864/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [37120/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [37376/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [37632/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [37888/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [38144/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [38400/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [38656/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [38912/48750]	Loss: 0.0066	LR: 0.000800
Training Epoch: 10 [39168/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [39424/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [39680/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [39936/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [40192/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [40448/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [40704/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [40960/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [41216/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [41472/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [41728/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [41984/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [42240/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [42496/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [42752/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [43008/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [43264/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [43520/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [43776/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [44032/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [44288/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [44544/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [44800/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [45056/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [45312/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [45568/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [45824/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [46080/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [46336/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [46592/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [46848/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [47104/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [47360/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [47616/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [47872/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [48128/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [48384/48750]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [48640/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [48750/48750]	Loss: 0.0086	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0094, Train Accuracy: 0.9999
Epoch 10 training time consumed: 19.15s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8254, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_14m_01s/ResNet18-Cifar10-seed6-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: 82.509765625
Retain Accuracy: 99.99386596679688
Zero-Retain Forget (ZRF): 0.7694105505943298
Membership Inference Attack (MIA): 0.5872
Forget vs Retain Membership Inference Attack (MIA): 0.632
Forget vs Test Membership Inference Attack (MIA): 0.532
Test vs Retain Membership Inference Attack (MIA): 0.618
Train vs Test Membership Inference Attack (MIA): 0.632
Forget Set Accuracy (Df): 83.23008728027344
Method Execution Time: 1143.34 seconds
