hello
hello
Labels

📌S Retain class distribution for seed 7:
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 7:
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: 2.4350	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4207	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3764	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3913	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3000	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2887	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2091	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2328	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2538	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2344	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.1659	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1144	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.2011	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1629	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0146	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 1.8940	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.9973	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9999	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9181	LR: 0.009424
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Training Epoch: 1 [5888/48750]	Loss: 1.9446	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.7763	LR: 0.012042
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Training Epoch: 1 [6656/48750]	Loss: 1.7300	LR: 0.013089
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Training Epoch: 1 [8192/48750]	Loss: 1.8527	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.6695	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.9536	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.7336	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.6481	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.7665	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.6714	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.6575	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.6420	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7938	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.5962	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.5703	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.6624	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.5066	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.5410	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.5322	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.5472	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6441	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.5197	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.5013	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6230	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.5477	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.5641	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.4963	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.5369	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.6163	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.4833	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.5204	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.5421	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7367	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6279	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.5938	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7787	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.5804	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6678	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6744	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6377	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.5438	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6221	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.4541	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.5969	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.5379	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.4541	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.4144	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.5779	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.4731	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.4158	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.3863	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.4232	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.7395	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.2736	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.4933	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.5241	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.4776	LR: 0.043979
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Training Epoch: 1 [22272/48750]	Loss: 1.5625	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.4563	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.4900	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.4318	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.3121	LR: 0.047120
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Training Epoch: 1 [23808/48750]	Loss: 1.3577	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5354	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.4480	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.3162	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.3478	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.5703	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.4572	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.4543	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.3946	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.4147	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.3434	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.3492	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4100	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.4535	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.3510	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.3972	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.3982	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.5125	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.4802	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.3716	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.4292	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.3721	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.2433	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.2486	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.3278	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.2660	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.2960	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.2718	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.2237	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.6319	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.2574	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.5709	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.5681	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.3390	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.1686	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.6500	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.2298	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.2604	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.3479	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.2959	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.3256	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.2544	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.2631	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.3453	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.2583	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4181	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.2263	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.3038	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.4317	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.2984	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.4179	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.3274	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.4163	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.1970	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.2872	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.0865	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.3052	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4171	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.2692	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.1544	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.1246	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.3149	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.2255	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.3655	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.2349	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4163	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.2505	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.3805	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.3115	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.3352	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.2185	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.1700	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.3704	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.2919	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.2506	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.2269	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.2786	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3058	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.0540	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.3566	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.1310	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3490	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.1832	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3056	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.1816	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.1883	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.1976	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.1680	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.1933	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.1254	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.1317	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.1459	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.0439	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.0124	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.0270	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.3016	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 0.9814	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.1101	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.1237	LR: 0.099476
Epoch 1 - Average Train Loss: 1.5081, Train Accuracy: 0.4563
Epoch 1 training time consumed: 19.84s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0058, Accuracy: 0.5301, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_33m_22s/ResNet18-Cifar10-seed7-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.0494	LR: 0.020000
Training Epoch: 2 [512/48750]	Loss: 1.1758	LR: 0.020000
Training Epoch: 2 [768/48750]	Loss: 1.0125	LR: 0.020000
Training Epoch: 2 [1024/48750]	Loss: 1.0549	LR: 0.020000
Training Epoch: 2 [1280/48750]	Loss: 0.8976	LR: 0.020000
Training Epoch: 2 [1536/48750]	Loss: 0.8331	LR: 0.020000
Training Epoch: 2 [1792/48750]	Loss: 0.8485	LR: 0.020000
Training Epoch: 2 [2048/48750]	Loss: 0.9839	LR: 0.020000
Training Epoch: 2 [2304/48750]	Loss: 0.8544	LR: 0.020000
Training Epoch: 2 [2560/48750]	Loss: 0.9763	LR: 0.020000
Training Epoch: 2 [2816/48750]	Loss: 1.0087	LR: 0.020000
Training Epoch: 2 [3072/48750]	Loss: 0.9040	LR: 0.020000
Training Epoch: 2 [3328/48750]	Loss: 0.9086	LR: 0.020000
Training Epoch: 2 [3584/48750]	Loss: 0.8309	LR: 0.020000
Training Epoch: 2 [3840/48750]	Loss: 0.9985	LR: 0.020000
Training Epoch: 2 [4096/48750]	Loss: 0.9310	LR: 0.020000
Training Epoch: 2 [4352/48750]	Loss: 1.0192	LR: 0.020000
Training Epoch: 2 [4608/48750]	Loss: 0.8117	LR: 0.020000
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Training Epoch: 2 [5632/48750]	Loss: 0.7667	LR: 0.020000
Training Epoch: 2 [5888/48750]	Loss: 0.9496	LR: 0.020000
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Training Epoch: 2 [7168/48750]	Loss: 0.8197	LR: 0.020000
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Training Epoch: 2 [8448/48750]	Loss: 0.8069	LR: 0.020000
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Training Epoch: 2 [10240/48750]	Loss: 0.8552	LR: 0.020000
Training Epoch: 2 [10496/48750]	Loss: 0.8839	LR: 0.020000
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Training Epoch: 2 [11008/48750]	Loss: 0.8226	LR: 0.020000
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Training Epoch: 2 [11520/48750]	Loss: 0.7459	LR: 0.020000
Training Epoch: 2 [11776/48750]	Loss: 0.7935	LR: 0.020000
Training Epoch: 2 [12032/48750]	Loss: 0.8404	LR: 0.020000
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Training Epoch: 2 [14336/48750]	Loss: 0.7650	LR: 0.020000
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Training Epoch: 2 [16640/48750]	Loss: 0.8429	LR: 0.020000
Training Epoch: 2 [16896/48750]	Loss: 0.7633	LR: 0.020000
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Training Epoch: 2 [20224/48750]	Loss: 0.7014	LR: 0.020000
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Training Epoch: 2 [47872/48750]	Loss: 0.6978	LR: 0.020000
Training Epoch: 2 [48128/48750]	Loss: 0.7041	LR: 0.020000
Training Epoch: 2 [48384/48750]	Loss: 0.6660	LR: 0.020000
Training Epoch: 2 [48640/48750]	Loss: 0.6916	LR: 0.020000
Training Epoch: 2 [48750/48750]	Loss: 0.6991	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7631, Train Accuracy: 0.7307
Epoch 2 training time consumed: 19.20s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0030, Accuracy: 0.7360, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_33m_22s/ResNet18-Cifar10-seed7-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.5515	LR: 0.020000
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Training Epoch: 3 [44544/48750]	Loss: 0.6064	LR: 0.020000
Training Epoch: 3 [44800/48750]	Loss: 0.5011	LR: 0.020000
Training Epoch: 3 [45056/48750]	Loss: 0.4990	LR: 0.020000
Training Epoch: 3 [45312/48750]	Loss: 0.6171	LR: 0.020000
Training Epoch: 3 [45568/48750]	Loss: 0.6081	LR: 0.020000
Training Epoch: 3 [45824/48750]	Loss: 0.6141	LR: 0.020000
Training Epoch: 3 [46080/48750]	Loss: 0.3805	LR: 0.020000
Training Epoch: 3 [46336/48750]	Loss: 0.5672	LR: 0.020000
Training Epoch: 3 [46592/48750]	Loss: 0.5047	LR: 0.020000
Training Epoch: 3 [46848/48750]	Loss: 0.5721	LR: 0.020000
Training Epoch: 3 [47104/48750]	Loss: 0.5384	LR: 0.020000
Training Epoch: 3 [47360/48750]	Loss: 0.4814	LR: 0.020000
Training Epoch: 3 [47616/48750]	Loss: 0.5055	LR: 0.020000
Training Epoch: 3 [47872/48750]	Loss: 0.5717	LR: 0.020000
Training Epoch: 3 [48128/48750]	Loss: 0.5683	LR: 0.020000
Training Epoch: 3 [48384/48750]	Loss: 0.6059	LR: 0.020000
Training Epoch: 3 [48640/48750]	Loss: 0.4797	LR: 0.020000
Training Epoch: 3 [48750/48750]	Loss: 0.4340	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5712, Train Accuracy: 0.7998
Epoch 3 training time consumed: 19.20s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0028, Accuracy: 0.7615, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_33m_22s/ResNet18-Cifar10-seed7-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.4277	LR: 0.020000
Training Epoch: 4 [512/48750]	Loss: 0.4797	LR: 0.020000
Training Epoch: 4 [768/48750]	Loss: 0.4181	LR: 0.020000
Training Epoch: 4 [1024/48750]	Loss: 0.4537	LR: 0.020000
Training Epoch: 4 [1280/48750]	Loss: 0.3772	LR: 0.020000
Training Epoch: 4 [1536/48750]	Loss: 0.4404	LR: 0.020000
Training Epoch: 4 [1792/48750]	Loss: 0.4825	LR: 0.020000
Training Epoch: 4 [2048/48750]	Loss: 0.4432	LR: 0.020000
Training Epoch: 4 [2304/48750]	Loss: 0.4071	LR: 0.020000
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Training Epoch: 4 [44800/48750]	Loss: 0.4514	LR: 0.020000
Training Epoch: 4 [45056/48750]	Loss: 0.3875	LR: 0.020000
Training Epoch: 4 [45312/48750]	Loss: 0.3758	LR: 0.020000
Training Epoch: 4 [45568/48750]	Loss: 0.4518	LR: 0.020000
Training Epoch: 4 [45824/48750]	Loss: 0.4762	LR: 0.020000
Training Epoch: 4 [46080/48750]	Loss: 0.4579	LR: 0.020000
Training Epoch: 4 [46336/48750]	Loss: 0.5322	LR: 0.020000
Training Epoch: 4 [46592/48750]	Loss: 0.3073	LR: 0.020000
Training Epoch: 4 [46848/48750]	Loss: 0.4285	LR: 0.020000
Training Epoch: 4 [47104/48750]	Loss: 0.4843	LR: 0.020000
Training Epoch: 4 [47360/48750]	Loss: 0.4773	LR: 0.020000
Training Epoch: 4 [47616/48750]	Loss: 0.3421	LR: 0.020000
Training Epoch: 4 [47872/48750]	Loss: 0.4749	LR: 0.020000
Training Epoch: 4 [48128/48750]	Loss: 0.4330	LR: 0.020000
Training Epoch: 4 [48384/48750]	Loss: 0.4529	LR: 0.020000
Training Epoch: 4 [48640/48750]	Loss: 0.4938	LR: 0.020000
Training Epoch: 4 [48750/48750]	Loss: 0.3787	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4436, Train Accuracy: 0.8444
Epoch 4 training time consumed: 19.16s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0029, Accuracy: 0.7598, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_33m_22s/ResNet18-Cifar10-seed7-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.2805	LR: 0.004000
Training Epoch: 5 [512/48750]	Loss: 0.3146	LR: 0.004000
Training Epoch: 5 [768/48750]	Loss: 0.2670	LR: 0.004000
Training Epoch: 5 [1024/48750]	Loss: 0.3170	LR: 0.004000
Training Epoch: 5 [1280/48750]	Loss: 0.2671	LR: 0.004000
Training Epoch: 5 [1536/48750]	Loss: 0.2732	LR: 0.004000
Training Epoch: 5 [1792/48750]	Loss: 0.3046	LR: 0.004000
Training Epoch: 5 [2048/48750]	Loss: 0.3010	LR: 0.004000
Training Epoch: 5 [2304/48750]	Loss: 0.2399	LR: 0.004000
Training Epoch: 5 [2560/48750]	Loss: 0.2515	LR: 0.004000
Training Epoch: 5 [2816/48750]	Loss: 0.2282	LR: 0.004000
Training Epoch: 5 [3072/48750]	Loss: 0.3088	LR: 0.004000
Training Epoch: 5 [3328/48750]	Loss: 0.2250	LR: 0.004000
Training Epoch: 5 [3584/48750]	Loss: 0.3062	LR: 0.004000
Training Epoch: 5 [3840/48750]	Loss: 0.2593	LR: 0.004000
Training Epoch: 5 [4096/48750]	Loss: 0.2432	LR: 0.004000
Training Epoch: 5 [4352/48750]	Loss: 0.3574	LR: 0.004000
Training Epoch: 5 [4608/48750]	Loss: 0.2950	LR: 0.004000
Training Epoch: 5 [4864/48750]	Loss: 0.2510	LR: 0.004000
Training Epoch: 5 [5120/48750]	Loss: 0.2413	LR: 0.004000
Training Epoch: 5 [5376/48750]	Loss: 0.2230	LR: 0.004000
Training Epoch: 5 [5632/48750]	Loss: 0.2677	LR: 0.004000
Training Epoch: 5 [5888/48750]	Loss: 0.2275	LR: 0.004000
Training Epoch: 5 [6144/48750]	Loss: 0.2428	LR: 0.004000
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Training Epoch: 5 [46336/48750]	Loss: 0.1490	LR: 0.004000
Training Epoch: 5 [46592/48750]	Loss: 0.1282	LR: 0.004000
Training Epoch: 5 [46848/48750]	Loss: 0.1701	LR: 0.004000
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Training Epoch: 5 [47616/48750]	Loss: 0.1481	LR: 0.004000
Training Epoch: 5 [47872/48750]	Loss: 0.1500	LR: 0.004000
Training Epoch: 5 [48128/48750]	Loss: 0.1721	LR: 0.004000
Training Epoch: 5 [48384/48750]	Loss: 0.1514	LR: 0.004000
Training Epoch: 5 [48640/48750]	Loss: 0.1672	LR: 0.004000
Training Epoch: 5 [48750/48750]	Loss: 0.1487	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2036, Train Accuracy: 0.9364
Epoch 5 training time consumed: 19.30s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8250, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_33m_22s/ResNet18-Cifar10-seed7-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.0968	LR: 0.004000
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Training Epoch: 6 [28416/48750]	Loss: 0.1193	LR: 0.004000
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Training Epoch: 6 [43008/48750]	Loss: 0.1158	LR: 0.004000
Training Epoch: 6 [43264/48750]	Loss: 0.0713	LR: 0.004000
Training Epoch: 6 [43520/48750]	Loss: 0.1297	LR: 0.004000
Training Epoch: 6 [43776/48750]	Loss: 0.0858	LR: 0.004000
Training Epoch: 6 [44032/48750]	Loss: 0.0741	LR: 0.004000
Training Epoch: 6 [44288/48750]	Loss: 0.0932	LR: 0.004000
Training Epoch: 6 [44544/48750]	Loss: 0.1012	LR: 0.004000
Training Epoch: 6 [44800/48750]	Loss: 0.0958	LR: 0.004000
Training Epoch: 6 [45056/48750]	Loss: 0.1475	LR: 0.004000
Training Epoch: 6 [45312/48750]	Loss: 0.1008	LR: 0.004000
Training Epoch: 6 [45568/48750]	Loss: 0.0820	LR: 0.004000
Training Epoch: 6 [45824/48750]	Loss: 0.1238	LR: 0.004000
Training Epoch: 6 [46080/48750]	Loss: 0.1016	LR: 0.004000
Training Epoch: 6 [46336/48750]	Loss: 0.1578	LR: 0.004000
Training Epoch: 6 [46592/48750]	Loss: 0.0821	LR: 0.004000
Training Epoch: 6 [46848/48750]	Loss: 0.0807	LR: 0.004000
Training Epoch: 6 [47104/48750]	Loss: 0.0823	LR: 0.004000
Training Epoch: 6 [47360/48750]	Loss: 0.1010	LR: 0.004000
Training Epoch: 6 [47616/48750]	Loss: 0.1075	LR: 0.004000
Training Epoch: 6 [47872/48750]	Loss: 0.1377	LR: 0.004000
Training Epoch: 6 [48128/48750]	Loss: 0.0938	LR: 0.004000
Training Epoch: 6 [48384/48750]	Loss: 0.1023	LR: 0.004000
Training Epoch: 6 [48640/48750]	Loss: 0.1558	LR: 0.004000
Training Epoch: 6 [48750/48750]	Loss: 0.0827	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1109, Train Accuracy: 0.9691
Epoch 6 training time consumed: 19.07s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0025, Accuracy: 0.8139, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_33m_22s/ResNet18-Cifar10-seed7-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.0520	LR: 0.004000
Training Epoch: 7 [512/48750]	Loss: 0.0702	LR: 0.004000
Training Epoch: 7 [768/48750]	Loss: 0.0776	LR: 0.004000
Training Epoch: 7 [1024/48750]	Loss: 0.0398	LR: 0.004000
Training Epoch: 7 [1280/48750]	Loss: 0.0611	LR: 0.004000
Training Epoch: 7 [1536/48750]	Loss: 0.0693	LR: 0.004000
Training Epoch: 7 [1792/48750]	Loss: 0.0337	LR: 0.004000
Training Epoch: 7 [2048/48750]	Loss: 0.0508	LR: 0.004000
Training Epoch: 7 [2304/48750]	Loss: 0.0660	LR: 0.004000
Training Epoch: 7 [2560/48750]	Loss: 0.0477	LR: 0.004000
Training Epoch: 7 [2816/48750]	Loss: 0.0631	LR: 0.004000
Training Epoch: 7 [3072/48750]	Loss: 0.0590	LR: 0.004000
Training Epoch: 7 [3328/48750]	Loss: 0.0624	LR: 0.004000
Training Epoch: 7 [3584/48750]	Loss: 0.0334	LR: 0.004000
Training Epoch: 7 [3840/48750]	Loss: 0.0500	LR: 0.004000
Training Epoch: 7 [4096/48750]	Loss: 0.0605	LR: 0.004000
Training Epoch: 7 [4352/48750]	Loss: 0.0497	LR: 0.004000
Training Epoch: 7 [4608/48750]	Loss: 0.0661	LR: 0.004000
Training Epoch: 7 [4864/48750]	Loss: 0.0414	LR: 0.004000
Training Epoch: 7 [5120/48750]	Loss: 0.0412	LR: 0.004000
Training Epoch: 7 [5376/48750]	Loss: 0.0589	LR: 0.004000
Training Epoch: 7 [5632/48750]	Loss: 0.0731	LR: 0.004000
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Training Epoch: 7 [8960/48750]	Loss: 0.0627	LR: 0.004000
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Training Epoch: 7 [9984/48750]	Loss: 0.0552	LR: 0.004000
Training Epoch: 7 [10240/48750]	Loss: 0.0667	LR: 0.004000
Training Epoch: 7 [10496/48750]	Loss: 0.0503	LR: 0.004000
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Training Epoch: 7 [11008/48750]	Loss: 0.0696	LR: 0.004000
Training Epoch: 7 [11264/48750]	Loss: 0.0449	LR: 0.004000
Training Epoch: 7 [11520/48750]	Loss: 0.0648	LR: 0.004000
Training Epoch: 7 [11776/48750]	Loss: 0.0442	LR: 0.004000
Training Epoch: 7 [12032/48750]	Loss: 0.0520	LR: 0.004000
Training Epoch: 7 [12288/48750]	Loss: 0.0438	LR: 0.004000
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Training Epoch: 7 [12800/48750]	Loss: 0.0575	LR: 0.004000
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Training Epoch: 7 [14848/48750]	Loss: 0.0470	LR: 0.004000
Training Epoch: 7 [15104/48750]	Loss: 0.0501	LR: 0.004000
Training Epoch: 7 [15360/48750]	Loss: 0.0511	LR: 0.004000
Training Epoch: 7 [15616/48750]	Loss: 0.0757	LR: 0.004000
Training Epoch: 7 [15872/48750]	Loss: 0.0525	LR: 0.004000
Training Epoch: 7 [16128/48750]	Loss: 0.0563	LR: 0.004000
Training Epoch: 7 [16384/48750]	Loss: 0.0623	LR: 0.004000
Training Epoch: 7 [16640/48750]	Loss: 0.0377	LR: 0.004000
Training Epoch: 7 [16896/48750]	Loss: 0.0361	LR: 0.004000
Training Epoch: 7 [17152/48750]	Loss: 0.0470	LR: 0.004000
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Training Epoch: 7 [37376/48750]	Loss: 0.0461	LR: 0.004000
Training Epoch: 7 [37632/48750]	Loss: 0.1024	LR: 0.004000
Training Epoch: 7 [37888/48750]	Loss: 0.0518	LR: 0.004000
Training Epoch: 7 [38144/48750]	Loss: 0.0561	LR: 0.004000
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Training Epoch: 7 [40192/48750]	Loss: 0.0396	LR: 0.004000
Training Epoch: 7 [40448/48750]	Loss: 0.0454	LR: 0.004000
Training Epoch: 7 [40704/48750]	Loss: 0.0411	LR: 0.004000
Training Epoch: 7 [40960/48750]	Loss: 0.0912	LR: 0.004000
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Training Epoch: 7 [42240/48750]	Loss: 0.0463	LR: 0.004000
Training Epoch: 7 [42496/48750]	Loss: 0.0490	LR: 0.004000
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Training Epoch: 7 [43264/48750]	Loss: 0.0572	LR: 0.004000
Training Epoch: 7 [43520/48750]	Loss: 0.0657	LR: 0.004000
Training Epoch: 7 [43776/48750]	Loss: 0.0425	LR: 0.004000
Training Epoch: 7 [44032/48750]	Loss: 0.0343	LR: 0.004000
Training Epoch: 7 [44288/48750]	Loss: 0.0461	LR: 0.004000
Training Epoch: 7 [44544/48750]	Loss: 0.0610	LR: 0.004000
Training Epoch: 7 [44800/48750]	Loss: 0.0585	LR: 0.004000
Training Epoch: 7 [45056/48750]	Loss: 0.0462	LR: 0.004000
Training Epoch: 7 [45312/48750]	Loss: 0.0836	LR: 0.004000
Training Epoch: 7 [45568/48750]	Loss: 0.0552	LR: 0.004000
Training Epoch: 7 [45824/48750]	Loss: 0.0735	LR: 0.004000
Training Epoch: 7 [46080/48750]	Loss: 0.0488	LR: 0.004000
Training Epoch: 7 [46336/48750]	Loss: 0.0429	LR: 0.004000
Training Epoch: 7 [46592/48750]	Loss: 0.0393	LR: 0.004000
Training Epoch: 7 [46848/48750]	Loss: 0.0483	LR: 0.004000
Training Epoch: 7 [47104/48750]	Loss: 0.0716	LR: 0.004000
Training Epoch: 7 [47360/48750]	Loss: 0.0276	LR: 0.004000
Training Epoch: 7 [47616/48750]	Loss: 0.0618	LR: 0.004000
Training Epoch: 7 [47872/48750]	Loss: 0.0422	LR: 0.004000
Training Epoch: 7 [48128/48750]	Loss: 0.0560	LR: 0.004000
Training Epoch: 7 [48384/48750]	Loss: 0.0492	LR: 0.004000
Training Epoch: 7 [48640/48750]	Loss: 0.0430	LR: 0.004000
Training Epoch: 7 [48750/48750]	Loss: 0.0996	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0552, Train Accuracy: 0.9894
Epoch 7 training time consumed: 19.03s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.8201, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_33m_22s/ResNet18-Cifar10-seed7-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0280	LR: 0.004000
Training Epoch: 8 [512/48750]	Loss: 0.0288	LR: 0.004000
Training Epoch: 8 [768/48750]	Loss: 0.0260	LR: 0.004000
Training Epoch: 8 [1024/48750]	Loss: 0.0207	LR: 0.004000
Training Epoch: 8 [1280/48750]	Loss: 0.0358	LR: 0.004000
Training Epoch: 8 [1536/48750]	Loss: 0.0289	LR: 0.004000
Training Epoch: 8 [1792/48750]	Loss: 0.0513	LR: 0.004000
Training Epoch: 8 [2048/48750]	Loss: 0.0359	LR: 0.004000
Training Epoch: 8 [2304/48750]	Loss: 0.0312	LR: 0.004000
Training Epoch: 8 [2560/48750]	Loss: 0.0220	LR: 0.004000
Training Epoch: 8 [2816/48750]	Loss: 0.0369	LR: 0.004000
Training Epoch: 8 [3072/48750]	Loss: 0.0245	LR: 0.004000
Training Epoch: 8 [3328/48750]	Loss: 0.0293	LR: 0.004000
Training Epoch: 8 [3584/48750]	Loss: 0.0322	LR: 0.004000
Training Epoch: 8 [3840/48750]	Loss: 0.0289	LR: 0.004000
Training Epoch: 8 [4096/48750]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [4352/48750]	Loss: 0.0265	LR: 0.004000
Training Epoch: 8 [4608/48750]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [4864/48750]	Loss: 0.0313	LR: 0.004000
Training Epoch: 8 [5120/48750]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [5376/48750]	Loss: 0.0277	LR: 0.004000
Training Epoch: 8 [5632/48750]	Loss: 0.0321	LR: 0.004000
Training Epoch: 8 [5888/48750]	Loss: 0.0311	LR: 0.004000
Training Epoch: 8 [6144/48750]	Loss: 0.0201	LR: 0.004000
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Training Epoch: 8 [10496/48750]	Loss: 0.0259	LR: 0.004000
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Training Epoch: 8 [11008/48750]	Loss: 0.0341	LR: 0.004000
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Training Epoch: 8 [12032/48750]	Loss: 0.0244	LR: 0.004000
Training Epoch: 8 [12288/48750]	Loss: 0.0228	LR: 0.004000
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Training Epoch: 8 [12800/48750]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [13056/48750]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [13312/48750]	Loss: 0.0248	LR: 0.004000
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Training Epoch: 8 [14080/48750]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [14336/48750]	Loss: 0.0296	LR: 0.004000
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Training Epoch: 8 [15616/48750]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [15872/48750]	Loss: 0.0275	LR: 0.004000
Training Epoch: 8 [16128/48750]	Loss: 0.0299	LR: 0.004000
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Training Epoch: 8 [16640/48750]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [16896/48750]	Loss: 0.0242	LR: 0.004000
Training Epoch: 8 [17152/48750]	Loss: 0.0183	LR: 0.004000
Training Epoch: 8 [17408/48750]	Loss: 0.0206	LR: 0.004000
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Training Epoch: 8 [18176/48750]	Loss: 0.0253	LR: 0.004000
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Training Epoch: 8 [19456/48750]	Loss: 0.0306	LR: 0.004000
Training Epoch: 8 [19712/48750]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [19968/48750]	Loss: 0.0203	LR: 0.004000
Training Epoch: 8 [20224/48750]	Loss: 0.0182	LR: 0.004000
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Training Epoch: 8 [20736/48750]	Loss: 0.0164	LR: 0.004000
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Training Epoch: 8 [21248/48750]	Loss: 0.0237	LR: 0.004000
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Training Epoch: 8 [22528/48750]	Loss: 0.0290	LR: 0.004000
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Training Epoch: 8 [23040/48750]	Loss: 0.0322	LR: 0.004000
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Training Epoch: 8 [23808/48750]	Loss: 0.0146	LR: 0.004000
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Training Epoch: 8 [24320/48750]	Loss: 0.0195	LR: 0.004000
Training Epoch: 8 [24576/48750]	Loss: 0.0198	LR: 0.004000
Training Epoch: 8 [24832/48750]	Loss: 0.0247	LR: 0.004000
Training Epoch: 8 [25088/48750]	Loss: 0.0161	LR: 0.004000
Training Epoch: 8 [25344/48750]	Loss: 0.0324	LR: 0.004000
Training Epoch: 8 [25600/48750]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [25856/48750]	Loss: 0.0166	LR: 0.004000
Training Epoch: 8 [26112/48750]	Loss: 0.0428	LR: 0.004000
Training Epoch: 8 [26368/48750]	Loss: 0.0234	LR: 0.004000
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Training Epoch: 8 [28416/48750]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [28672/48750]	Loss: 0.0240	LR: 0.004000
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Training Epoch: 8 [29440/48750]	Loss: 0.0252	LR: 0.004000
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Training Epoch: 8 [30208/48750]	Loss: 0.0241	LR: 0.004000
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Training Epoch: 8 [30976/48750]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [31232/48750]	Loss: 0.0376	LR: 0.004000
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Training Epoch: 8 [31744/48750]	Loss: 0.0326	LR: 0.004000
Training Epoch: 8 [32000/48750]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [32256/48750]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [32512/48750]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [32768/48750]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [33024/48750]	Loss: 0.0161	LR: 0.004000
Training Epoch: 8 [33280/48750]	Loss: 0.0410	LR: 0.004000
Training Epoch: 8 [33536/48750]	Loss: 0.0214	LR: 0.004000
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Training Epoch: 8 [34048/48750]	Loss: 0.0149	LR: 0.004000
Training Epoch: 8 [34304/48750]	Loss: 0.0144	LR: 0.004000
Training Epoch: 8 [34560/48750]	Loss: 0.0195	LR: 0.004000
Training Epoch: 8 [34816/48750]	Loss: 0.0205	LR: 0.004000
Training Epoch: 8 [35072/48750]	Loss: 0.0214	LR: 0.004000
Training Epoch: 8 [35328/48750]	Loss: 0.0207	LR: 0.004000
Training Epoch: 8 [35584/48750]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [35840/48750]	Loss: 0.0135	LR: 0.004000
Training Epoch: 8 [36096/48750]	Loss: 0.0345	LR: 0.004000
Training Epoch: 8 [36352/48750]	Loss: 0.0340	LR: 0.004000
Training Epoch: 8 [36608/48750]	Loss: 0.0247	LR: 0.004000
Training Epoch: 8 [36864/48750]	Loss: 0.0105	LR: 0.004000
Training Epoch: 8 [37120/48750]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [37376/48750]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [37632/48750]	Loss: 0.0153	LR: 0.004000
Training Epoch: 8 [37888/48750]	Loss: 0.0199	LR: 0.004000
Training Epoch: 8 [38144/48750]	Loss: 0.0423	LR: 0.004000
Training Epoch: 8 [38400/48750]	Loss: 0.0117	LR: 0.004000
Training Epoch: 8 [38656/48750]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [38912/48750]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [39168/48750]	Loss: 0.0175	LR: 0.004000
Training Epoch: 8 [39424/48750]	Loss: 0.0184	LR: 0.004000
Training Epoch: 8 [39680/48750]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [39936/48750]	Loss: 0.0305	LR: 0.004000
Training Epoch: 8 [40192/48750]	Loss: 0.0173	LR: 0.004000
Training Epoch: 8 [40448/48750]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [40704/48750]	Loss: 0.0158	LR: 0.004000
Training Epoch: 8 [40960/48750]	Loss: 0.0184	LR: 0.004000
Training Epoch: 8 [41216/48750]	Loss: 0.0321	LR: 0.004000
Training Epoch: 8 [41472/48750]	Loss: 0.0222	LR: 0.004000
Training Epoch: 8 [41728/48750]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [41984/48750]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [42240/48750]	Loss: 0.0149	LR: 0.004000
Training Epoch: 8 [42496/48750]	Loss: 0.0279	LR: 0.004000
Training Epoch: 8 [42752/48750]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [43008/48750]	Loss: 0.0183	LR: 0.004000
Training Epoch: 8 [43264/48750]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [43520/48750]	Loss: 0.0117	LR: 0.004000
Training Epoch: 8 [43776/48750]	Loss: 0.0301	LR: 0.004000
Training Epoch: 8 [44032/48750]	Loss: 0.0242	LR: 0.004000
Training Epoch: 8 [44288/48750]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [44544/48750]	Loss: 0.0178	LR: 0.004000
Training Epoch: 8 [44800/48750]	Loss: 0.0198	LR: 0.004000
Training Epoch: 8 [45056/48750]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [45312/48750]	Loss: 0.0166	LR: 0.004000
Training Epoch: 8 [45568/48750]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [45824/48750]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [46080/48750]	Loss: 0.0197	LR: 0.004000
Training Epoch: 8 [46336/48750]	Loss: 0.0249	LR: 0.004000
Training Epoch: 8 [46592/48750]	Loss: 0.0125	LR: 0.004000
Training Epoch: 8 [46848/48750]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [47104/48750]	Loss: 0.0158	LR: 0.004000
Training Epoch: 8 [47360/48750]	Loss: 0.0175	LR: 0.004000
Training Epoch: 8 [47616/48750]	Loss: 0.0149	LR: 0.004000
Training Epoch: 8 [47872/48750]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [48128/48750]	Loss: 0.0163	LR: 0.004000
Training Epoch: 8 [48384/48750]	Loss: 0.0304	LR: 0.004000
Training Epoch: 8 [48640/48750]	Loss: 0.0303	LR: 0.004000
Training Epoch: 8 [48750/48750]	Loss: 0.0405	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0240, Train Accuracy: 0.9983
Epoch 8 training time consumed: 19.07s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8213, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_33m_22s/ResNet18-Cifar10-seed7-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [512/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [768/48750]	Loss: 0.0173	LR: 0.000800
Training Epoch: 9 [1024/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [1280/48750]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [1536/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [1792/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [2048/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [2304/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [2560/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [2816/48750]	Loss: 0.0275	LR: 0.000800
Training Epoch: 9 [3072/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [3328/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [3584/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [3840/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [4096/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [4352/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [4608/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [4864/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [5120/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [5376/48750]	Loss: 0.0188	LR: 0.000800
Training Epoch: 9 [5632/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [5888/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [6144/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [6400/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [6656/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [6912/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [7168/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [7424/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [7680/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [7936/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [8192/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [8448/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [8704/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [8960/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [9216/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [9472/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [9728/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [9984/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [10240/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [10496/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [10752/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [11008/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [11264/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [11520/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 9 [11776/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [12032/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [12288/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [12544/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [12800/48750]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [13056/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [13312/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [13568/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [13824/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [14080/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [14336/48750]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [14592/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [14848/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [15104/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [15360/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [15616/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [15872/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [16128/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [16384/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [16640/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [16896/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [17152/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [17408/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [17664/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [17920/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [18176/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 9 [18432/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [18688/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [18944/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 9 [19200/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [19456/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [19712/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [19968/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [20224/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [20480/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [20736/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 9 [20992/48750]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [21248/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [21504/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [21760/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [22016/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [22272/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [22528/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [22784/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [23040/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [23296/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [23552/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [23808/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [24064/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [24320/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [24576/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [24832/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [25088/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [25344/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [25600/48750]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [25856/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [26112/48750]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [26368/48750]	Loss: 0.0197	LR: 0.000800
Training Epoch: 9 [26624/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [26880/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [27136/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [27392/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [27648/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [27904/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 9 [28160/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [28416/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [28672/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [28928/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [29184/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [29440/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [29696/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [29952/48750]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [30208/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 9 [30464/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [30720/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [30976/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [31232/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [31488/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [31744/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [32000/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [32256/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [32512/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [32768/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [33024/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [33280/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [33536/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [33792/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [34048/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [34304/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [34560/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [34816/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [35072/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [35328/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [35584/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [35840/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [36096/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [36352/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [36608/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [36864/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [37120/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [37376/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [37632/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [37888/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [38144/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [38400/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [38656/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [38912/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [39168/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [39424/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [39680/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [39936/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [40192/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [40448/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [40704/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [40960/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [41216/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [41472/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [41728/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [41984/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 9 [42240/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [42496/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [42752/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [43008/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [43264/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [43520/48750]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [43776/48750]	Loss: 0.0171	LR: 0.000800
Training Epoch: 9 [44032/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [44288/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 9 [44544/48750]	Loss: 0.0182	LR: 0.000800
Training Epoch: 9 [44800/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [45056/48750]	Loss: 0.0169	LR: 0.000800
Training Epoch: 9 [45312/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 9 [45568/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [45824/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [46080/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [46336/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [46592/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [46848/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [47104/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [47360/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 9 [47616/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [47872/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [48128/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [48384/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [48640/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 9 [48750/48750]	Loss: 0.0126	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0114, Train Accuracy: 0.9998
Epoch 9 training time consumed: 19.30s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8249, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_33m_22s/ResNet18-Cifar10-seed7-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [512/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [768/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [1024/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [1280/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [1536/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [1792/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [2048/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [2304/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [2560/48750]	Loss: 0.0231	LR: 0.000800
Training Epoch: 10 [2816/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [3072/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [3328/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [3584/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [3840/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [4096/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [4352/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [4608/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [4864/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [5120/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [5376/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [5632/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 10 [5888/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [6144/48750]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [6400/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [6656/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [6912/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [7168/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [7424/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [7680/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [7936/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [8192/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [8448/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [8704/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [8960/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [9216/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [9472/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [9728/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [9984/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [10240/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [10496/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [10752/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [11008/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [11264/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [11520/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [11776/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [12032/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [12288/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [12544/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [12800/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 10 [13056/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [13312/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [13568/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [13824/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [14080/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [14336/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [14592/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [14848/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [15104/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [15360/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [15616/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [15872/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [16128/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [16384/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 10 [16640/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [16896/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [17152/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [17408/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [17664/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [17920/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [18176/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [18432/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 10 [18688/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [18944/48750]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [19200/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [19456/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 10 [19712/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [19968/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [20224/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [20480/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 10 [20736/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [20992/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [21248/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [21504/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [21760/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [22016/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [22272/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [22528/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [22784/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [23040/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [23296/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [23552/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [23808/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [24064/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [24320/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [24576/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [24832/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 10 [25088/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [25344/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [25600/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [25856/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [26112/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [26368/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [26624/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [26880/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 10 [27136/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [27392/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [27648/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [27904/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [28160/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [28416/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [28672/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [28928/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [29184/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [29440/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [29696/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [29952/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [30208/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [30464/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [30720/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [30976/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [31232/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 10 [31488/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [31744/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [32000/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [32256/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [32512/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [32768/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [33024/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [33280/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [33536/48750]	Loss: 0.0063	LR: 0.000800
Training Epoch: 10 [33792/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [34048/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [34304/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [34560/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [34816/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [35072/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [35328/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [35584/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [35840/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [36096/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [36352/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [36608/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [36864/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [37120/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [37376/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [37632/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [37888/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [38144/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [38400/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [38656/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [38912/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [39168/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [39424/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [39680/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [39936/48750]	Loss: 0.0066	LR: 0.000800
Training Epoch: 10 [40192/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [40448/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [40704/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [40960/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [41216/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 10 [41472/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [41728/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [41984/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [42240/48750]	Loss: 0.0067	LR: 0.000800
Training Epoch: 10 [42496/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [42752/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [43008/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [43264/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [43520/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [43776/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [44032/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [44288/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [44544/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [44800/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [45056/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [45312/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [45568/48750]	Loss: 0.0063	LR: 0.000800
Training Epoch: 10 [45824/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [46080/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [46336/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [46592/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [46848/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [47104/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [47360/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [47616/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [47872/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [48128/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [48384/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [48640/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [48750/48750]	Loss: 0.0111	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0099, Train Accuracy: 0.9999
Epoch 10 training time consumed: 19.35s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0026, Accuracy: 0.8259, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_33m_22s/ResNet18-Cifar10-seed7-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: 82.8515625
Retain Accuracy: 99.99795532226562
Zero-Retain Forget (ZRF): 0.7718697786331177
Membership Inference Attack (MIA): 0.6192
Forget vs Retain Membership Inference Attack (MIA): 0.58
Forget vs Test Membership Inference Attack (MIA): 0.482
Test vs Retain Membership Inference Attack (MIA): 0.6225
Train vs Test Membership Inference Attack (MIA): 0.635
Forget Set Accuracy (Df): 83.90693664550781
Method Execution Time: 1133.82 seconds
