hello
hello
Labels

📌S Retain class distribution for seed 4:
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 4:
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: 2.3666	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3493	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3469	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3212	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2709	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2423	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2151	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.1882	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2076	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.1792	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2010	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.0815	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.0657	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 1.9577	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 1.9955	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 1.8575	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.8217	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.8156	LR: 0.008901
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Training Epoch: 1 [5632/48750]	Loss: 1.9466	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8492	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.6358	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.8765	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.7826	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.6833	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.6280	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.6820	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.7577	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.6966	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.6632	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.7694	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.7018	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.6325	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.6070	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.7939	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8229	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.4939	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.9097	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.6842	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7309	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7630	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.6610	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.6582	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.5994	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7207	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.5978	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.7376	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.6591	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.5425	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6582	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.4797	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.4828	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.5922	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.5562	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.5507	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.5341	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.5267	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6840	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.4961	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.4582	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.5974	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.5794	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.4766	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6201	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.5623	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6845	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.5092	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.5179	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.5990	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.6440	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.5339	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.6470	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.4516	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.3954	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.4473	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.3351	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.3365	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.4587	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.3701	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5361	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.4557	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.5863	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.4177	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.4992	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.4749	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.3731	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.3851	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.2622	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.3031	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.3358	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.3281	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5941	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.4412	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.6124	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.2717	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.5430	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.5805	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.3850	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.4602	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.3677	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.5508	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.7851	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5826	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.4008	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.4330	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5609	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.3465	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.3964	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.3962	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.6768	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.4294	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5344	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.3921	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.2471	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.2711	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.2358	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.2380	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.1954	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.3221	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.3408	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.3605	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.3435	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.2980	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.4855	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.5635	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.3821	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.3650	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.4085	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.3778	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.3220	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5007	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.2988	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.1772	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.2930	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4460	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.3178	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.7839	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.5604	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.4270	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.2714	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.1893	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.4196	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.3607	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.4095	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.3928	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.3603	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.3396	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4186	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.1830	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.2184	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.3909	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.2414	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.2757	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.1796	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.1316	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.2043	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.3299	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.1110	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.1297	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.2684	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.1723	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.1670	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.2604	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.1748	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.2910	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.2365	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.1868	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.1263	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.2264	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.2008	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.1096	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.0666	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.2170	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.2477	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.1489	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.1545	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4773	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.1691	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.2875	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3789	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.1842	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.2288	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.3238	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3444	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.1384	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.1808	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.2694	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.1083	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.5576	LR: 0.099476
Epoch 1 - Average Train Loss: 1.5124, Train Accuracy: 0.4567
Epoch 1 training time consumed: 19.48s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0152, Accuracy: 0.2574, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_35m_44s/ResNet18-Cifar10-seed4-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.3360	LR: 0.020000
Training Epoch: 2 [512/48750]	Loss: 1.3015	LR: 0.020000
Training Epoch: 2 [768/48750]	Loss: 0.9428	LR: 0.020000
Training Epoch: 2 [1024/48750]	Loss: 0.9616	LR: 0.020000
Training Epoch: 2 [1280/48750]	Loss: 1.0155	LR: 0.020000
Training Epoch: 2 [1536/48750]	Loss: 1.0052	LR: 0.020000
Training Epoch: 2 [1792/48750]	Loss: 0.9588	LR: 0.020000
Training Epoch: 2 [2048/48750]	Loss: 1.0298	LR: 0.020000
Training Epoch: 2 [2304/48750]	Loss: 1.0792	LR: 0.020000
Training Epoch: 2 [2560/48750]	Loss: 1.0195	LR: 0.020000
Training Epoch: 2 [2816/48750]	Loss: 1.0048	LR: 0.020000
Training Epoch: 2 [3072/48750]	Loss: 1.0916	LR: 0.020000
Training Epoch: 2 [3328/48750]	Loss: 0.9484	LR: 0.020000
Training Epoch: 2 [3584/48750]	Loss: 0.9294	LR: 0.020000
Training Epoch: 2 [3840/48750]	Loss: 1.0803	LR: 0.020000
Training Epoch: 2 [4096/48750]	Loss: 1.0827	LR: 0.020000
Training Epoch: 2 [4352/48750]	Loss: 0.9555	LR: 0.020000
Training Epoch: 2 [4608/48750]	Loss: 0.8533	LR: 0.020000
Training Epoch: 2 [4864/48750]	Loss: 0.9625	LR: 0.020000
Training Epoch: 2 [5120/48750]	Loss: 0.9608	LR: 0.020000
Training Epoch: 2 [5376/48750]	Loss: 0.8497	LR: 0.020000
Training Epoch: 2 [5632/48750]	Loss: 0.8897	LR: 0.020000
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Training Epoch: 2 [6400/48750]	Loss: 0.8584	LR: 0.020000
Training Epoch: 2 [6656/48750]	Loss: 0.7382	LR: 0.020000
Training Epoch: 2 [6912/48750]	Loss: 0.8697	LR: 0.020000
Training Epoch: 2 [7168/48750]	Loss: 0.9024	LR: 0.020000
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Training Epoch: 2 [7936/48750]	Loss: 1.0248	LR: 0.020000
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Training Epoch: 2 [8448/48750]	Loss: 0.8492	LR: 0.020000
Training Epoch: 2 [8704/48750]	Loss: 0.8850	LR: 0.020000
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Training Epoch: 2 [9216/48750]	Loss: 0.8607	LR: 0.020000
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Training Epoch: 2 [9728/48750]	Loss: 0.8461	LR: 0.020000
Training Epoch: 2 [9984/48750]	Loss: 0.9790	LR: 0.020000
Training Epoch: 2 [10240/48750]	Loss: 0.6830	LR: 0.020000
Training Epoch: 2 [10496/48750]	Loss: 0.7746	LR: 0.020000
Training Epoch: 2 [10752/48750]	Loss: 0.7950	LR: 0.020000
Training Epoch: 2 [11008/48750]	Loss: 0.8421	LR: 0.020000
Training Epoch: 2 [11264/48750]	Loss: 0.8061	LR: 0.020000
Training Epoch: 2 [11520/48750]	Loss: 0.7184	LR: 0.020000
Training Epoch: 2 [11776/48750]	Loss: 0.8593	LR: 0.020000
Training Epoch: 2 [12032/48750]	Loss: 0.8097	LR: 0.020000
Training Epoch: 2 [12288/48750]	Loss: 0.8324	LR: 0.020000
Training Epoch: 2 [12544/48750]	Loss: 0.7019	LR: 0.020000
Training Epoch: 2 [12800/48750]	Loss: 0.8202	LR: 0.020000
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Training Epoch: 2 [13312/48750]	Loss: 0.8489	LR: 0.020000
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Training Epoch: 2 [14080/48750]	Loss: 0.7531	LR: 0.020000
Training Epoch: 2 [14336/48750]	Loss: 0.7580	LR: 0.020000
Training Epoch: 2 [14592/48750]	Loss: 0.7346	LR: 0.020000
Training Epoch: 2 [14848/48750]	Loss: 0.7647	LR: 0.020000
Training Epoch: 2 [15104/48750]	Loss: 0.8125	LR: 0.020000
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Training Epoch: 2 [15616/48750]	Loss: 0.7135	LR: 0.020000
Training Epoch: 2 [15872/48750]	Loss: 0.7680	LR: 0.020000
Training Epoch: 2 [16128/48750]	Loss: 0.7570	LR: 0.020000
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Training Epoch: 2 [16640/48750]	Loss: 0.7840	LR: 0.020000
Training Epoch: 2 [16896/48750]	Loss: 0.6524	LR: 0.020000
Training Epoch: 2 [17152/48750]	Loss: 0.8155	LR: 0.020000
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Training Epoch: 2 [18176/48750]	Loss: 0.6515	LR: 0.020000
Training Epoch: 2 [18432/48750]	Loss: 0.7616	LR: 0.020000
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Training Epoch: 2 [19200/48750]	Loss: 0.7499	LR: 0.020000
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Training Epoch: 2 [19712/48750]	Loss: 0.9080	LR: 0.020000
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Training Epoch: 2 [20224/48750]	Loss: 0.6832	LR: 0.020000
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Training Epoch: 2 [47616/48750]	Loss: 0.7074	LR: 0.020000
Training Epoch: 2 [47872/48750]	Loss: 0.7195	LR: 0.020000
Training Epoch: 2 [48128/48750]	Loss: 0.6903	LR: 0.020000
Training Epoch: 2 [48384/48750]	Loss: 0.7146	LR: 0.020000
Training Epoch: 2 [48640/48750]	Loss: 0.6700	LR: 0.020000
Training Epoch: 2 [48750/48750]	Loss: 0.7194	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7701, Train Accuracy: 0.7269
Epoch 2 training time consumed: 19.12s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0031, Accuracy: 0.7268, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_35m_44s/ResNet18-Cifar10-seed4-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.5590	LR: 0.020000
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Training Epoch: 3 [24576/48750]	Loss: 0.5391	LR: 0.020000
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Training Epoch: 3 [44544/48750]	Loss: 0.5705	LR: 0.020000
Training Epoch: 3 [44800/48750]	Loss: 0.4906	LR: 0.020000
Training Epoch: 3 [45056/48750]	Loss: 0.5865	LR: 0.020000
Training Epoch: 3 [45312/48750]	Loss: 0.6095	LR: 0.020000
Training Epoch: 3 [45568/48750]	Loss: 0.4574	LR: 0.020000
Training Epoch: 3 [45824/48750]	Loss: 0.5817	LR: 0.020000
Training Epoch: 3 [46080/48750]	Loss: 0.4860	LR: 0.020000
Training Epoch: 3 [46336/48750]	Loss: 0.4543	LR: 0.020000
Training Epoch: 3 [46592/48750]	Loss: 0.6091	LR: 0.020000
Training Epoch: 3 [46848/48750]	Loss: 0.5188	LR: 0.020000
Training Epoch: 3 [47104/48750]	Loss: 0.5504	LR: 0.020000
Training Epoch: 3 [47360/48750]	Loss: 0.5560	LR: 0.020000
Training Epoch: 3 [47616/48750]	Loss: 0.5751	LR: 0.020000
Training Epoch: 3 [47872/48750]	Loss: 0.6253	LR: 0.020000
Training Epoch: 3 [48128/48750]	Loss: 0.4865	LR: 0.020000
Training Epoch: 3 [48384/48750]	Loss: 0.5953	LR: 0.020000
Training Epoch: 3 [48640/48750]	Loss: 0.5321	LR: 0.020000
Training Epoch: 3 [48750/48750]	Loss: 0.5078	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5707, Train Accuracy: 0.7973
Epoch 3 training time consumed: 19.07s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0026, Accuracy: 0.7745, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_35m_44s/ResNet18-Cifar10-seed4-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.4374	LR: 0.020000
Training Epoch: 4 [512/48750]	Loss: 0.4251	LR: 0.020000
Training Epoch: 4 [768/48750]	Loss: 0.4402	LR: 0.020000
Training Epoch: 4 [1024/48750]	Loss: 0.3745	LR: 0.020000
Training Epoch: 4 [1280/48750]	Loss: 0.4121	LR: 0.020000
Training Epoch: 4 [1536/48750]	Loss: 0.3668	LR: 0.020000
Training Epoch: 4 [1792/48750]	Loss: 0.4604	LR: 0.020000
Training Epoch: 4 [2048/48750]	Loss: 0.4908	LR: 0.020000
Training Epoch: 4 [2304/48750]	Loss: 0.4618	LR: 0.020000
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Training Epoch: 4 [44800/48750]	Loss: 0.5602	LR: 0.020000
Training Epoch: 4 [45056/48750]	Loss: 0.4813	LR: 0.020000
Training Epoch: 4 [45312/48750]	Loss: 0.4002	LR: 0.020000
Training Epoch: 4 [45568/48750]	Loss: 0.4417	LR: 0.020000
Training Epoch: 4 [45824/48750]	Loss: 0.4951	LR: 0.020000
Training Epoch: 4 [46080/48750]	Loss: 0.4084	LR: 0.020000
Training Epoch: 4 [46336/48750]	Loss: 0.3830	LR: 0.020000
Training Epoch: 4 [46592/48750]	Loss: 0.3295	LR: 0.020000
Training Epoch: 4 [46848/48750]	Loss: 0.3798	LR: 0.020000
Training Epoch: 4 [47104/48750]	Loss: 0.4744	LR: 0.020000
Training Epoch: 4 [47360/48750]	Loss: 0.4069	LR: 0.020000
Training Epoch: 4 [47616/48750]	Loss: 0.4884	LR: 0.020000
Training Epoch: 4 [47872/48750]	Loss: 0.3411	LR: 0.020000
Training Epoch: 4 [48128/48750]	Loss: 0.3687	LR: 0.020000
Training Epoch: 4 [48384/48750]	Loss: 0.4609	LR: 0.020000
Training Epoch: 4 [48640/48750]	Loss: 0.4320	LR: 0.020000
Training Epoch: 4 [48750/48750]	Loss: 0.4349	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4403, Train Accuracy: 0.8457
Epoch 4 training time consumed: 19.34s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0027, Accuracy: 0.7832, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_35m_44s/ResNet18-Cifar10-seed4-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.3539	LR: 0.004000
Training Epoch: 5 [512/48750]	Loss: 0.3935	LR: 0.004000
Training Epoch: 5 [768/48750]	Loss: 0.3637	LR: 0.004000
Training Epoch: 5 [1024/48750]	Loss: 0.3750	LR: 0.004000
Training Epoch: 5 [1280/48750]	Loss: 0.3079	LR: 0.004000
Training Epoch: 5 [1536/48750]	Loss: 0.3267	LR: 0.004000
Training Epoch: 5 [1792/48750]	Loss: 0.3052	LR: 0.004000
Training Epoch: 5 [2048/48750]	Loss: 0.3306	LR: 0.004000
Training Epoch: 5 [2304/48750]	Loss: 0.2683	LR: 0.004000
Training Epoch: 5 [2560/48750]	Loss: 0.2867	LR: 0.004000
Training Epoch: 5 [2816/48750]	Loss: 0.2559	LR: 0.004000
Training Epoch: 5 [3072/48750]	Loss: 0.2998	LR: 0.004000
Training Epoch: 5 [3328/48750]	Loss: 0.3075	LR: 0.004000
Training Epoch: 5 [3584/48750]	Loss: 0.2399	LR: 0.004000
Training Epoch: 5 [3840/48750]	Loss: 0.3006	LR: 0.004000
Training Epoch: 5 [4096/48750]	Loss: 0.1915	LR: 0.004000
Training Epoch: 5 [4352/48750]	Loss: 0.2145	LR: 0.004000
Training Epoch: 5 [4608/48750]	Loss: 0.2896	LR: 0.004000
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Training Epoch: 5 [18688/48750]	Loss: 0.1722	LR: 0.004000
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Training Epoch: 5 [46336/48750]	Loss: 0.1602	LR: 0.004000
Training Epoch: 5 [46592/48750]	Loss: 0.1471	LR: 0.004000
Training Epoch: 5 [46848/48750]	Loss: 0.1896	LR: 0.004000
Training Epoch: 5 [47104/48750]	Loss: 0.1334	LR: 0.004000
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Training Epoch: 5 [47616/48750]	Loss: 0.1760	LR: 0.004000
Training Epoch: 5 [47872/48750]	Loss: 0.1015	LR: 0.004000
Training Epoch: 5 [48128/48750]	Loss: 0.1787	LR: 0.004000
Training Epoch: 5 [48384/48750]	Loss: 0.1671	LR: 0.004000
Training Epoch: 5 [48640/48750]	Loss: 0.1402	LR: 0.004000
Training Epoch: 5 [48750/48750]	Loss: 0.1246	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2081, Train Accuracy: 0.9329
Epoch 5 training time consumed: 19.21s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8238, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_35m_44s/ResNet18-Cifar10-seed4-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.1483	LR: 0.004000
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Training Epoch: 6 [43008/48750]	Loss: 0.1038	LR: 0.004000
Training Epoch: 6 [43264/48750]	Loss: 0.0861	LR: 0.004000
Training Epoch: 6 [43520/48750]	Loss: 0.1226	LR: 0.004000
Training Epoch: 6 [43776/48750]	Loss: 0.1076	LR: 0.004000
Training Epoch: 6 [44032/48750]	Loss: 0.1384	LR: 0.004000
Training Epoch: 6 [44288/48750]	Loss: 0.1348	LR: 0.004000
Training Epoch: 6 [44544/48750]	Loss: 0.1488	LR: 0.004000
Training Epoch: 6 [44800/48750]	Loss: 0.1109	LR: 0.004000
Training Epoch: 6 [45056/48750]	Loss: 0.0673	LR: 0.004000
Training Epoch: 6 [45312/48750]	Loss: 0.1107	LR: 0.004000
Training Epoch: 6 [45568/48750]	Loss: 0.1311	LR: 0.004000
Training Epoch: 6 [45824/48750]	Loss: 0.0746	LR: 0.004000
Training Epoch: 6 [46080/48750]	Loss: 0.1289	LR: 0.004000
Training Epoch: 6 [46336/48750]	Loss: 0.0973	LR: 0.004000
Training Epoch: 6 [46592/48750]	Loss: 0.1368	LR: 0.004000
Training Epoch: 6 [46848/48750]	Loss: 0.0943	LR: 0.004000
Training Epoch: 6 [47104/48750]	Loss: 0.1101	LR: 0.004000
Training Epoch: 6 [47360/48750]	Loss: 0.1022	LR: 0.004000
Training Epoch: 6 [47616/48750]	Loss: 0.1155	LR: 0.004000
Training Epoch: 6 [47872/48750]	Loss: 0.1286	LR: 0.004000
Training Epoch: 6 [48128/48750]	Loss: 0.1130	LR: 0.004000
Training Epoch: 6 [48384/48750]	Loss: 0.1508	LR: 0.004000
Training Epoch: 6 [48640/48750]	Loss: 0.1204	LR: 0.004000
Training Epoch: 6 [48750/48750]	Loss: 0.1292	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1190, Train Accuracy: 0.9662
Epoch 6 training time consumed: 19.17s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0024, Accuracy: 0.8182, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_35m_44s/ResNet18-Cifar10-seed4-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.0674	LR: 0.004000
Training Epoch: 7 [512/48750]	Loss: 0.0622	LR: 0.004000
Training Epoch: 7 [768/48750]	Loss: 0.0778	LR: 0.004000
Training Epoch: 7 [1024/48750]	Loss: 0.0596	LR: 0.004000
Training Epoch: 7 [1280/48750]	Loss: 0.0562	LR: 0.004000
Training Epoch: 7 [1536/48750]	Loss: 0.0640	LR: 0.004000
Training Epoch: 7 [1792/48750]	Loss: 0.0723	LR: 0.004000
Training Epoch: 7 [2048/48750]	Loss: 0.0931	LR: 0.004000
Training Epoch: 7 [2304/48750]	Loss: 0.0709	LR: 0.004000
Training Epoch: 7 [2560/48750]	Loss: 0.0840	LR: 0.004000
Training Epoch: 7 [2816/48750]	Loss: 0.0611	LR: 0.004000
Training Epoch: 7 [3072/48750]	Loss: 0.0615	LR: 0.004000
Training Epoch: 7 [3328/48750]	Loss: 0.0597	LR: 0.004000
Training Epoch: 7 [3584/48750]	Loss: 0.0805	LR: 0.004000
Training Epoch: 7 [3840/48750]	Loss: 0.0512	LR: 0.004000
Training Epoch: 7 [4096/48750]	Loss: 0.0703	LR: 0.004000
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Training Epoch: 7 [5120/48750]	Loss: 0.0553	LR: 0.004000
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Training Epoch: 7 [5632/48750]	Loss: 0.0522	LR: 0.004000
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Training Epoch: 7 [10240/48750]	Loss: 0.0528	LR: 0.004000
Training Epoch: 7 [10496/48750]	Loss: 0.0793	LR: 0.004000
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Training Epoch: 7 [11008/48750]	Loss: 0.0637	LR: 0.004000
Training Epoch: 7 [11264/48750]	Loss: 0.0342	LR: 0.004000
Training Epoch: 7 [11520/48750]	Loss: 0.0714	LR: 0.004000
Training Epoch: 7 [11776/48750]	Loss: 0.0935	LR: 0.004000
Training Epoch: 7 [12032/48750]	Loss: 0.0760	LR: 0.004000
Training Epoch: 7 [12288/48750]	Loss: 0.0391	LR: 0.004000
Training Epoch: 7 [12544/48750]	Loss: 0.0703	LR: 0.004000
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Training Epoch: 7 [15104/48750]	Loss: 0.0610	LR: 0.004000
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Training Epoch: 7 [15872/48750]	Loss: 0.0717	LR: 0.004000
Training Epoch: 7 [16128/48750]	Loss: 0.0450	LR: 0.004000
Training Epoch: 7 [16384/48750]	Loss: 0.0537	LR: 0.004000
Training Epoch: 7 [16640/48750]	Loss: 0.0489	LR: 0.004000
Training Epoch: 7 [16896/48750]	Loss: 0.0764	LR: 0.004000
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Training Epoch: 7 [40192/48750]	Loss: 0.0524	LR: 0.004000
Training Epoch: 7 [40448/48750]	Loss: 0.0430	LR: 0.004000
Training Epoch: 7 [40704/48750]	Loss: 0.0786	LR: 0.004000
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Training Epoch: 7 [43264/48750]	Loss: 0.0562	LR: 0.004000
Training Epoch: 7 [43520/48750]	Loss: 0.0402	LR: 0.004000
Training Epoch: 7 [43776/48750]	Loss: 0.0341	LR: 0.004000
Training Epoch: 7 [44032/48750]	Loss: 0.0503	LR: 0.004000
Training Epoch: 7 [44288/48750]	Loss: 0.0475	LR: 0.004000
Training Epoch: 7 [44544/48750]	Loss: 0.0551	LR: 0.004000
Training Epoch: 7 [44800/48750]	Loss: 0.0512	LR: 0.004000
Training Epoch: 7 [45056/48750]	Loss: 0.0420	LR: 0.004000
Training Epoch: 7 [45312/48750]	Loss: 0.0446	LR: 0.004000
Training Epoch: 7 [45568/48750]	Loss: 0.0612	LR: 0.004000
Training Epoch: 7 [45824/48750]	Loss: 0.0837	LR: 0.004000
Training Epoch: 7 [46080/48750]	Loss: 0.0476	LR: 0.004000
Training Epoch: 7 [46336/48750]	Loss: 0.0355	LR: 0.004000
Training Epoch: 7 [46592/48750]	Loss: 0.0760	LR: 0.004000
Training Epoch: 7 [46848/48750]	Loss: 0.0692	LR: 0.004000
Training Epoch: 7 [47104/48750]	Loss: 0.0767	LR: 0.004000
Training Epoch: 7 [47360/48750]	Loss: 0.0698	LR: 0.004000
Training Epoch: 7 [47616/48750]	Loss: 0.0590	LR: 0.004000
Training Epoch: 7 [47872/48750]	Loss: 0.0750	LR: 0.004000
Training Epoch: 7 [48128/48750]	Loss: 0.0629	LR: 0.004000
Training Epoch: 7 [48384/48750]	Loss: 0.0509	LR: 0.004000
Training Epoch: 7 [48640/48750]	Loss: 0.0524	LR: 0.004000
Training Epoch: 7 [48750/48750]	Loss: 0.0666	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0618, Train Accuracy: 0.9867
Epoch 7 training time consumed: 19.07s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8121, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_35m_44s/ResNet18-Cifar10-seed4-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0321	LR: 0.004000
Training Epoch: 8 [512/48750]	Loss: 0.0358	LR: 0.004000
Training Epoch: 8 [768/48750]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [1024/48750]	Loss: 0.0357	LR: 0.004000
Training Epoch: 8 [1280/48750]	Loss: 0.0408	LR: 0.004000
Training Epoch: 8 [1536/48750]	Loss: 0.0396	LR: 0.004000
Training Epoch: 8 [1792/48750]	Loss: 0.0197	LR: 0.004000
Training Epoch: 8 [2048/48750]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [2304/48750]	Loss: 0.0368	LR: 0.004000
Training Epoch: 8 [2560/48750]	Loss: 0.0393	LR: 0.004000
Training Epoch: 8 [2816/48750]	Loss: 0.0359	LR: 0.004000
Training Epoch: 8 [3072/48750]	Loss: 0.0315	LR: 0.004000
Training Epoch: 8 [3328/48750]	Loss: 0.0239	LR: 0.004000
Training Epoch: 8 [3584/48750]	Loss: 0.0293	LR: 0.004000
Training Epoch: 8 [3840/48750]	Loss: 0.0391	LR: 0.004000
Training Epoch: 8 [4096/48750]	Loss: 0.0214	LR: 0.004000
Training Epoch: 8 [4352/48750]	Loss: 0.0281	LR: 0.004000
Training Epoch: 8 [4608/48750]	Loss: 0.0246	LR: 0.004000
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Training Epoch: 8 [5120/48750]	Loss: 0.0339	LR: 0.004000
Training Epoch: 8 [5376/48750]	Loss: 0.0304	LR: 0.004000
Training Epoch: 8 [5632/48750]	Loss: 0.0281	LR: 0.004000
Training Epoch: 8 [5888/48750]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [6144/48750]	Loss: 0.0199	LR: 0.004000
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Training Epoch: 8 [10496/48750]	Loss: 0.0335	LR: 0.004000
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Training Epoch: 8 [11008/48750]	Loss: 0.0331	LR: 0.004000
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Training Epoch: 8 [12032/48750]	Loss: 0.0205	LR: 0.004000
Training Epoch: 8 [12288/48750]	Loss: 0.0248	LR: 0.004000
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Training Epoch: 8 [14336/48750]	Loss: 0.0249	LR: 0.004000
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Training Epoch: 8 [16128/48750]	Loss: 0.0212	LR: 0.004000
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Training Epoch: 8 [16640/48750]	Loss: 0.0361	LR: 0.004000
Training Epoch: 8 [16896/48750]	Loss: 0.0284	LR: 0.004000
Training Epoch: 8 [17152/48750]	Loss: 0.0317	LR: 0.004000
Training Epoch: 8 [17408/48750]	Loss: 0.0336	LR: 0.004000
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Training Epoch: 8 [18432/48750]	Loss: 0.0195	LR: 0.004000
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Training Epoch: 8 [19200/48750]	Loss: 0.0302	LR: 0.004000
Training Epoch: 8 [19456/48750]	Loss: 0.0454	LR: 0.004000
Training Epoch: 8 [19712/48750]	Loss: 0.0174	LR: 0.004000
Training Epoch: 8 [19968/48750]	Loss: 0.0195	LR: 0.004000
Training Epoch: 8 [20224/48750]	Loss: 0.0262	LR: 0.004000
Training Epoch: 8 [20480/48750]	Loss: 0.0268	LR: 0.004000
Training Epoch: 8 [20736/48750]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [20992/48750]	Loss: 0.0196	LR: 0.004000
Training Epoch: 8 [21248/48750]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [21504/48750]	Loss: 0.0352	LR: 0.004000
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Training Epoch: 8 [22016/48750]	Loss: 0.0366	LR: 0.004000
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Training Epoch: 8 [22528/48750]	Loss: 0.0353	LR: 0.004000
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Training Epoch: 8 [24576/48750]	Loss: 0.0386	LR: 0.004000
Training Epoch: 8 [24832/48750]	Loss: 0.0231	LR: 0.004000
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Training Epoch: 8 [25344/48750]	Loss: 0.0174	LR: 0.004000
Training Epoch: 8 [25600/48750]	Loss: 0.0270	LR: 0.004000
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Training Epoch: 8 [26112/48750]	Loss: 0.0221	LR: 0.004000
Training Epoch: 8 [26368/48750]	Loss: 0.0229	LR: 0.004000
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Training Epoch: 8 [27904/48750]	Loss: 0.0372	LR: 0.004000
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Training Epoch: 8 [29440/48750]	Loss: 0.0214	LR: 0.004000
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Training Epoch: 8 [30464/48750]	Loss: 0.0196	LR: 0.004000
Training Epoch: 8 [30720/48750]	Loss: 0.0221	LR: 0.004000
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Training Epoch: 8 [31232/48750]	Loss: 0.0218	LR: 0.004000
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Training Epoch: 8 [31744/48750]	Loss: 0.0253	LR: 0.004000
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Training Epoch: 8 [32256/48750]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [32512/48750]	Loss: 0.0173	LR: 0.004000
Training Epoch: 8 [32768/48750]	Loss: 0.0206	LR: 0.004000
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Training Epoch: 8 [33536/48750]	Loss: 0.0252	LR: 0.004000
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Training Epoch: 8 [34560/48750]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [34816/48750]	Loss: 0.0221	LR: 0.004000
Training Epoch: 8 [35072/48750]	Loss: 0.0199	LR: 0.004000
Training Epoch: 8 [35328/48750]	Loss: 0.0372	LR: 0.004000
Training Epoch: 8 [35584/48750]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [35840/48750]	Loss: 0.0441	LR: 0.004000
Training Epoch: 8 [36096/48750]	Loss: 0.0208	LR: 0.004000
Training Epoch: 8 [36352/48750]	Loss: 0.0178	LR: 0.004000
Training Epoch: 8 [36608/48750]	Loss: 0.0378	LR: 0.004000
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Training Epoch: 8 [37120/48750]	Loss: 0.0258	LR: 0.004000
Training Epoch: 8 [37376/48750]	Loss: 0.0211	LR: 0.004000
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Training Epoch: 8 [38656/48750]	Loss: 0.0268	LR: 0.004000
Training Epoch: 8 [38912/48750]	Loss: 0.0291	LR: 0.004000
Training Epoch: 8 [39168/48750]	Loss: 0.0235	LR: 0.004000
Training Epoch: 8 [39424/48750]	Loss: 0.0203	LR: 0.004000
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Training Epoch: 8 [40192/48750]	Loss: 0.0220	LR: 0.004000
Training Epoch: 8 [40448/48750]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [40704/48750]	Loss: 0.0271	LR: 0.004000
Training Epoch: 8 [40960/48750]	Loss: 0.0285	LR: 0.004000
Training Epoch: 8 [41216/48750]	Loss: 0.0264	LR: 0.004000
Training Epoch: 8 [41472/48750]	Loss: 0.0262	LR: 0.004000
Training Epoch: 8 [41728/48750]	Loss: 0.0262	LR: 0.004000
Training Epoch: 8 [41984/48750]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [42240/48750]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [42496/48750]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [42752/48750]	Loss: 0.0419	LR: 0.004000
Training Epoch: 8 [43008/48750]	Loss: 0.0351	LR: 0.004000
Training Epoch: 8 [43264/48750]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [43520/48750]	Loss: 0.0258	LR: 0.004000
Training Epoch: 8 [43776/48750]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [44032/48750]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [44288/48750]	Loss: 0.0408	LR: 0.004000
Training Epoch: 8 [44544/48750]	Loss: 0.0304	LR: 0.004000
Training Epoch: 8 [44800/48750]	Loss: 0.0260	LR: 0.004000
Training Epoch: 8 [45056/48750]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [45312/48750]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [45568/48750]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [45824/48750]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [46080/48750]	Loss: 0.0281	LR: 0.004000
Training Epoch: 8 [46336/48750]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [46592/48750]	Loss: 0.0246	LR: 0.004000
Training Epoch: 8 [46848/48750]	Loss: 0.0212	LR: 0.004000
Training Epoch: 8 [47104/48750]	Loss: 0.0305	LR: 0.004000
Training Epoch: 8 [47360/48750]	Loss: 0.0409	LR: 0.004000
Training Epoch: 8 [47616/48750]	Loss: 0.0153	LR: 0.004000
Training Epoch: 8 [47872/48750]	Loss: 0.0244	LR: 0.004000
Training Epoch: 8 [48128/48750]	Loss: 0.0235	LR: 0.004000
Training Epoch: 8 [48384/48750]	Loss: 0.0295	LR: 0.004000
Training Epoch: 8 [48640/48750]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [48750/48750]	Loss: 0.0453	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0276, Train Accuracy: 0.9967
Epoch 8 training time consumed: 18.89s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0028, Accuracy: 0.8170, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_35m_44s/ResNet18-Cifar10-seed4-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.0179	LR: 0.000800
Training Epoch: 9 [512/48750]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [768/48750]	Loss: 0.0247	LR: 0.000800
Training Epoch: 9 [1024/48750]	Loss: 0.0233	LR: 0.000800
Training Epoch: 9 [1280/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [1536/48750]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [1792/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [2048/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [2304/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [2560/48750]	Loss: 0.0174	LR: 0.000800
Training Epoch: 9 [2816/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [3072/48750]	Loss: 0.0188	LR: 0.000800
Training Epoch: 9 [3328/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [3584/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [3840/48750]	Loss: 0.0230	LR: 0.000800
Training Epoch: 9 [4096/48750]	Loss: 0.0176	LR: 0.000800
Training Epoch: 9 [4352/48750]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [4608/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [4864/48750]	Loss: 0.0220	LR: 0.000800
Training Epoch: 9 [5120/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [5376/48750]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [5632/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [5888/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [6144/48750]	Loss: 0.0187	LR: 0.000800
Training Epoch: 9 [6400/48750]	Loss: 0.0202	LR: 0.000800
Training Epoch: 9 [6656/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [6912/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [7168/48750]	Loss: 0.0172	LR: 0.000800
Training Epoch: 9 [7424/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [7680/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [7936/48750]	Loss: 0.0158	LR: 0.000800
Training Epoch: 9 [8192/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [8448/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [8704/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [8960/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [9216/48750]	Loss: 0.0179	LR: 0.000800
Training Epoch: 9 [9472/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [9728/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [9984/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [10240/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [10496/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [10752/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [11008/48750]	Loss: 0.0155	LR: 0.000800
Training Epoch: 9 [11264/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [11520/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [11776/48750]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [12032/48750]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [12288/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [12544/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [12800/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [13056/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [13312/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [13568/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [13824/48750]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [14080/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [14336/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [14592/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [14848/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [15104/48750]	Loss: 0.0201	LR: 0.000800
Training Epoch: 9 [15360/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [15616/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [15872/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [16128/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [16384/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [16640/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [16896/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [17152/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [17408/48750]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [17664/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [17920/48750]	Loss: 0.0155	LR: 0.000800
Training Epoch: 9 [18176/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [18432/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [18688/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [18944/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [19200/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [19456/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [19712/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [19968/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [20224/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [20480/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [20736/48750]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [20992/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [21248/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [21504/48750]	Loss: 0.0182	LR: 0.000800
Training Epoch: 9 [21760/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [22016/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [22272/48750]	Loss: 0.0224	LR: 0.000800
Training Epoch: 9 [22528/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [22784/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [23040/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [23296/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [23552/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [23808/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [24064/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [24320/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [24576/48750]	Loss: 0.0209	LR: 0.000800
Training Epoch: 9 [24832/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [25088/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [25344/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [25600/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [25856/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [26112/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [26368/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [26624/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [26880/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [27136/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [27392/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [27648/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [27904/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [28160/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [28416/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [28672/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [28928/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [29184/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [29440/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [29696/48750]	Loss: 0.0193	LR: 0.000800
Training Epoch: 9 [29952/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [30208/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [30464/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [30720/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [30976/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [31232/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [31488/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [31744/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [32000/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [32256/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [32512/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [32768/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [33024/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [33280/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [33536/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [33792/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [34048/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [34304/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [34560/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [34816/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [35072/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [35328/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [35584/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [35840/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [36096/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [36352/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [36608/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [36864/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [37120/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [37376/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [37632/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [37888/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [38144/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [38400/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [38656/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [38912/48750]	Loss: 0.0181	LR: 0.000800
Training Epoch: 9 [39168/48750]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [39424/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [39680/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 9 [39936/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [40192/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [40448/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [40704/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [40960/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [41216/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [41472/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [41728/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [41984/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [42240/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [42496/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [42752/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [43008/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [43264/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [43520/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [43776/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [44032/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [44288/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [44544/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [44800/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [45056/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 9 [45312/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [45568/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [45824/48750]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [46080/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [46336/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [46592/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [46848/48750]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [47104/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [47360/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [47616/48750]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [47872/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [48128/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [48384/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [48640/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [48750/48750]	Loss: 0.0347	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0128, Train Accuracy: 0.9996
Epoch 9 training time consumed: 19.13s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8268, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_35m_44s/ResNet18-Cifar10-seed4-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [512/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [768/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [1024/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [1280/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [1536/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [1792/48750]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [2048/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [2304/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [2560/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [2816/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [3072/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [3328/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [3584/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [3840/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [4096/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [4352/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [4608/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [4864/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [5120/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [5376/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [5632/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [5888/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [6144/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [6400/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [6656/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [6912/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [7168/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 10 [7424/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [7680/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [7936/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [8192/48750]	Loss: 0.0129	LR: 0.000800
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Training Epoch: 10 [8704/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [8960/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [9216/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [9472/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [9728/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [9984/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [10240/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [10496/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [10752/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [11008/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [11264/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [11520/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [11776/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [12032/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [12288/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [12544/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [12800/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [13056/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [13312/48750]	Loss: 0.0060	LR: 0.000800
Training Epoch: 10 [13568/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [13824/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [14080/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [14336/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [14592/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [14848/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [15104/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [15360/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [15616/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [15872/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [16128/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [16384/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [16640/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [16896/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [17152/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [17408/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [17664/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [17920/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [18176/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [18432/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [18688/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [18944/48750]	Loss: 0.0158	LR: 0.000800
Training Epoch: 10 [19200/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 10 [19456/48750]	Loss: 0.0060	LR: 0.000800
Training Epoch: 10 [19712/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [19968/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [20224/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [20480/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [20736/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [20992/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [21248/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [21504/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [21760/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [22016/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [22272/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [22528/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [22784/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [23040/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [23296/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [23552/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [23808/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [24064/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [24320/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [24576/48750]	Loss: 0.0067	LR: 0.000800
Training Epoch: 10 [24832/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [25088/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [25344/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [25600/48750]	Loss: 0.0152	LR: 0.000800
Training Epoch: 10 [25856/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [26112/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [26368/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [26624/48750]	Loss: 0.0067	LR: 0.000800
Training Epoch: 10 [26880/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [27136/48750]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [27392/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [27648/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [27904/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [28160/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 10 [28416/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [28672/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [28928/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [29184/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [29440/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [29696/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [29952/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [30208/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [30464/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [30720/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [30976/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 10 [31232/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [31488/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [31744/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [32000/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [32256/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [32512/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [32768/48750]	Loss: 0.0186	LR: 0.000800
Training Epoch: 10 [33024/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [33280/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [33536/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [33792/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [34048/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [34304/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [34560/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [34816/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [35072/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [35328/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 10 [35584/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [35840/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [36096/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [36352/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [36608/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [36864/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [37120/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [37376/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [37632/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [37888/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [38144/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [38400/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [38656/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [38912/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [39168/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [39424/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [39680/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [39936/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [40192/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [40448/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [40704/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [40960/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [41216/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [41472/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 10 [41728/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [41984/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [42240/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [42496/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [42752/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [43008/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [43264/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [43520/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [43776/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [44032/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [44288/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [44544/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [44800/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [45056/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [45312/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [45568/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [45824/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [46080/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [46336/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [46592/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [46848/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [47104/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [47360/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [47616/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [47872/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [48128/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [48384/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [48640/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [48750/48750]	Loss: 0.0134	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0101, Train Accuracy: 0.9998
Epoch 10 training time consumed: 19.11s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8272, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_35m_44s/ResNet18-Cifar10-seed4-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: 82.5390625
Retain Accuracy: 99.9918212890625
Zero-Retain Forget (ZRF): 0.774269163608551
Membership Inference Attack (MIA): 0.6216
Forget vs Retain Membership Inference Attack (MIA): 0.608
Forget vs Test Membership Inference Attack (MIA): 0.49
Test vs Retain Membership Inference Attack (MIA): 0.62325
Train vs Test Membership Inference Attack (MIA): 0.62875
Forget Set Accuracy (Df): 83.37043762207031
Method Execution Time: 1131.72 seconds
