hello
hello
Labels

📌S Retain class distribution for seed 10:
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 10:
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: 2.3780	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3597	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3296	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3299	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3301	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2681	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2385	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2381	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2334	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2139	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2613	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1149	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.0354	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.0375	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 1.9954	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 1.9740	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.9644	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.8826	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9428	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.8078	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.8591	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.8617	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.7698	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.8190	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.8217	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8713	LR: 0.013089
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Training Epoch: 1 [7168/48750]	Loss: 1.7288	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.7284	LR: 0.014660
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Training Epoch: 1 [7936/48750]	Loss: 1.7406	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.7414	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.6873	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.6482	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.5460	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.6754	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.6786	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.7047	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.5494	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.5684	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.5805	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.6673	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.6580	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.6136	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.5275	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.5742	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.6089	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.5606	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6253	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.5780	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.4925	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6495	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.4993	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.5826	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.6805	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.5782	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.6001	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6661	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6464	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.5649	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.6226	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.5034	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.5994	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.4506	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.4804	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.5103	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.4316	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.4700	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.4047	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.3355	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.5035	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.5198	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.4388	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.4898	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.4251	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.5192	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.4473	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.3596	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.3527	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.3895	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.5718	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.4517	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.5156	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.4716	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.7245	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.5690	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.6326	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.5861	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.4552	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5789	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6673	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.3614	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.4495	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5690	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.3412	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.4442	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.3740	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.3341	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.2743	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5316	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.4025	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.5207	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.4474	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.4838	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5168	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.6047	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.3262	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5066	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.4535	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.5885	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.4133	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.4023	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.2269	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.3944	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4894	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.4712	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5339	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.2576	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.3386	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.4115	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.6174	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.5106	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.4730	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.2648	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.3702	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.2392	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.3076	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.3353	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.2115	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.2716	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.4630	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.2397	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.1539	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.1594	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.2905	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.3934	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.2447	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.2577	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.1909	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.3884	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.3261	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.3436	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.3360	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.2678	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.1676	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.3802	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.2476	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.2850	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.2730	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.2733	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4627	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.2755	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.4023	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.3195	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.2455	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.0415	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.2781	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.2863	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.2700	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.1400	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.1098	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4076	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.3266	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4099	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.1068	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.3902	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.0694	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.2082	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.2059	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.2068	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.2656	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.3370	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3701	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.2991	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.1482	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3824	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.2381	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.4011	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.0775	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.2244	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3950	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3489	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3271	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.5287	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4722	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.1525	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.1015	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.4783	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.3658	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.2352	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.0311	LR: 0.099476
Epoch 1 - Average Train Loss: 1.5149, Train Accuracy: 0.4548
Epoch 1 training time consumed: 19.65s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0077, Accuracy: 0.4715, Time consumed:1.11s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_30m_17s/ResNet18-Cifar10-seed10-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.1801	LR: 0.020000
Training Epoch: 2 [512/48750]	Loss: 1.2873	LR: 0.020000
Training Epoch: 2 [768/48750]	Loss: 1.1546	LR: 0.020000
Training Epoch: 2 [1024/48750]	Loss: 1.0441	LR: 0.020000
Training Epoch: 2 [1280/48750]	Loss: 0.9647	LR: 0.020000
Training Epoch: 2 [1536/48750]	Loss: 1.0653	LR: 0.020000
Training Epoch: 2 [1792/48750]	Loss: 1.1757	LR: 0.020000
Training Epoch: 2 [2048/48750]	Loss: 0.9854	LR: 0.020000
Training Epoch: 2 [2304/48750]	Loss: 1.0274	LR: 0.020000
Training Epoch: 2 [2560/48750]	Loss: 0.9572	LR: 0.020000
Training Epoch: 2 [2816/48750]	Loss: 0.9876	LR: 0.020000
Training Epoch: 2 [3072/48750]	Loss: 0.9873	LR: 0.020000
Training Epoch: 2 [3328/48750]	Loss: 0.9452	LR: 0.020000
Training Epoch: 2 [3584/48750]	Loss: 1.1166	LR: 0.020000
Training Epoch: 2 [3840/48750]	Loss: 0.8905	LR: 0.020000
Training Epoch: 2 [4096/48750]	Loss: 0.8844	LR: 0.020000
Training Epoch: 2 [4352/48750]	Loss: 0.9314	LR: 0.020000
Training Epoch: 2 [4608/48750]	Loss: 1.0373	LR: 0.020000
Training Epoch: 2 [4864/48750]	Loss: 0.8781	LR: 0.020000
Training Epoch: 2 [5120/48750]	Loss: 0.8908	LR: 0.020000
Training Epoch: 2 [5376/48750]	Loss: 0.8624	LR: 0.020000
Training Epoch: 2 [5632/48750]	Loss: 0.8320	LR: 0.020000
Training Epoch: 2 [5888/48750]	Loss: 0.8919	LR: 0.020000
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Training Epoch: 2 [6656/48750]	Loss: 1.0626	LR: 0.020000
Training Epoch: 2 [6912/48750]	Loss: 0.8800	LR: 0.020000
Training Epoch: 2 [7168/48750]	Loss: 0.8084	LR: 0.020000
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Training Epoch: 2 [9216/48750]	Loss: 0.7569	LR: 0.020000
Training Epoch: 2 [9472/48750]	Loss: 0.8527	LR: 0.020000
Training Epoch: 2 [9728/48750]	Loss: 0.8824	LR: 0.020000
Training Epoch: 2 [9984/48750]	Loss: 0.8740	LR: 0.020000
Training Epoch: 2 [10240/48750]	Loss: 0.8190	LR: 0.020000
Training Epoch: 2 [10496/48750]	Loss: 0.8574	LR: 0.020000
Training Epoch: 2 [10752/48750]	Loss: 0.8426	LR: 0.020000
Training Epoch: 2 [11008/48750]	Loss: 0.7449	LR: 0.020000
Training Epoch: 2 [11264/48750]	Loss: 0.8419	LR: 0.020000
Training Epoch: 2 [11520/48750]	Loss: 0.8080	LR: 0.020000
Training Epoch: 2 [11776/48750]	Loss: 0.8090	LR: 0.020000
Training Epoch: 2 [12032/48750]	Loss: 0.7378	LR: 0.020000
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Training Epoch: 2 [12800/48750]	Loss: 0.7109	LR: 0.020000
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Training Epoch: 2 [13824/48750]	Loss: 0.7885	LR: 0.020000
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Training Epoch: 2 [14336/48750]	Loss: 0.8802	LR: 0.020000
Training Epoch: 2 [14592/48750]	Loss: 0.8946	LR: 0.020000
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Training Epoch: 2 [15104/48750]	Loss: 0.7505	LR: 0.020000
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Training Epoch: 2 [16128/48750]	Loss: 0.8454	LR: 0.020000
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Training Epoch: 2 [16640/48750]	Loss: 0.7078	LR: 0.020000
Training Epoch: 2 [16896/48750]	Loss: 0.7433	LR: 0.020000
Training Epoch: 2 [17152/48750]	Loss: 0.6468	LR: 0.020000
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Training Epoch: 2 [20224/48750]	Loss: 0.7491	LR: 0.020000
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Training Epoch: 2 [47616/48750]	Loss: 0.6862	LR: 0.020000
Training Epoch: 2 [47872/48750]	Loss: 0.7134	LR: 0.020000
Training Epoch: 2 [48128/48750]	Loss: 0.6427	LR: 0.020000
Training Epoch: 2 [48384/48750]	Loss: 0.6387	LR: 0.020000
Training Epoch: 2 [48640/48750]	Loss: 0.5274	LR: 0.020000
Training Epoch: 2 [48750/48750]	Loss: 0.6401	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7720, Train Accuracy: 0.7279
Epoch 2 training time consumed: 19.02s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0032, Accuracy: 0.7218, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_30m_17s/ResNet18-Cifar10-seed10-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.6088	LR: 0.020000
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Training Epoch: 3 [44544/48750]	Loss: 0.4412	LR: 0.020000
Training Epoch: 3 [44800/48750]	Loss: 0.5961	LR: 0.020000
Training Epoch: 3 [45056/48750]	Loss: 0.5135	LR: 0.020000
Training Epoch: 3 [45312/48750]	Loss: 0.5480	LR: 0.020000
Training Epoch: 3 [45568/48750]	Loss: 0.4348	LR: 0.020000
Training Epoch: 3 [45824/48750]	Loss: 0.5857	LR: 0.020000
Training Epoch: 3 [46080/48750]	Loss: 0.6011	LR: 0.020000
Training Epoch: 3 [46336/48750]	Loss: 0.5146	LR: 0.020000
Training Epoch: 3 [46592/48750]	Loss: 0.4943	LR: 0.020000
Training Epoch: 3 [46848/48750]	Loss: 0.6158	LR: 0.020000
Training Epoch: 3 [47104/48750]	Loss: 0.5055	LR: 0.020000
Training Epoch: 3 [47360/48750]	Loss: 0.4874	LR: 0.020000
Training Epoch: 3 [47616/48750]	Loss: 0.4709	LR: 0.020000
Training Epoch: 3 [47872/48750]	Loss: 0.4887	LR: 0.020000
Training Epoch: 3 [48128/48750]	Loss: 0.5404	LR: 0.020000
Training Epoch: 3 [48384/48750]	Loss: 0.5524	LR: 0.020000
Training Epoch: 3 [48640/48750]	Loss: 0.6257	LR: 0.020000
Training Epoch: 3 [48750/48750]	Loss: 0.6955	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5623, Train Accuracy: 0.8043
Epoch 3 training time consumed: 19.01s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0028, Accuracy: 0.7587, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_30m_17s/ResNet18-Cifar10-seed10-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.4736	LR: 0.020000
Training Epoch: 4 [512/48750]	Loss: 0.4822	LR: 0.020000
Training Epoch: 4 [768/48750]	Loss: 0.3965	LR: 0.020000
Training Epoch: 4 [1024/48750]	Loss: 0.4461	LR: 0.020000
Training Epoch: 4 [1280/48750]	Loss: 0.5151	LR: 0.020000
Training Epoch: 4 [1536/48750]	Loss: 0.4961	LR: 0.020000
Training Epoch: 4 [1792/48750]	Loss: 0.4651	LR: 0.020000
Training Epoch: 4 [2048/48750]	Loss: 0.3941	LR: 0.020000
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Training Epoch: 4 [44800/48750]	Loss: 0.4049	LR: 0.020000
Training Epoch: 4 [45056/48750]	Loss: 0.3696	LR: 0.020000
Training Epoch: 4 [45312/48750]	Loss: 0.5295	LR: 0.020000
Training Epoch: 4 [45568/48750]	Loss: 0.4736	LR: 0.020000
Training Epoch: 4 [45824/48750]	Loss: 0.4456	LR: 0.020000
Training Epoch: 4 [46080/48750]	Loss: 0.5205	LR: 0.020000
Training Epoch: 4 [46336/48750]	Loss: 0.5866	LR: 0.020000
Training Epoch: 4 [46592/48750]	Loss: 0.4456	LR: 0.020000
Training Epoch: 4 [46848/48750]	Loss: 0.3867	LR: 0.020000
Training Epoch: 4 [47104/48750]	Loss: 0.4132	LR: 0.020000
Training Epoch: 4 [47360/48750]	Loss: 0.4000	LR: 0.020000
Training Epoch: 4 [47616/48750]	Loss: 0.3778	LR: 0.020000
Training Epoch: 4 [47872/48750]	Loss: 0.3749	LR: 0.020000
Training Epoch: 4 [48128/48750]	Loss: 0.3870	LR: 0.020000
Training Epoch: 4 [48384/48750]	Loss: 0.4562	LR: 0.020000
Training Epoch: 4 [48640/48750]	Loss: 0.4470	LR: 0.020000
Training Epoch: 4 [48750/48750]	Loss: 0.4772	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4426, Train Accuracy: 0.8453
Epoch 4 training time consumed: 18.91s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7255, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_30m_17s/ResNet18-Cifar10-seed10-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.2826	LR: 0.004000
Training Epoch: 5 [512/48750]	Loss: 0.2487	LR: 0.004000
Training Epoch: 5 [768/48750]	Loss: 0.2552	LR: 0.004000
Training Epoch: 5 [1024/48750]	Loss: 0.2980	LR: 0.004000
Training Epoch: 5 [1280/48750]	Loss: 0.2460	LR: 0.004000
Training Epoch: 5 [1536/48750]	Loss: 0.4004	LR: 0.004000
Training Epoch: 5 [1792/48750]	Loss: 0.3758	LR: 0.004000
Training Epoch: 5 [2048/48750]	Loss: 0.3882	LR: 0.004000
Training Epoch: 5 [2304/48750]	Loss: 0.2856	LR: 0.004000
Training Epoch: 5 [2560/48750]	Loss: 0.2625	LR: 0.004000
Training Epoch: 5 [2816/48750]	Loss: 0.2825	LR: 0.004000
Training Epoch: 5 [3072/48750]	Loss: 0.2236	LR: 0.004000
Training Epoch: 5 [3328/48750]	Loss: 0.2593	LR: 0.004000
Training Epoch: 5 [3584/48750]	Loss: 0.2670	LR: 0.004000
Training Epoch: 5 [3840/48750]	Loss: 0.3691	LR: 0.004000
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Training Epoch: 5 [4352/48750]	Loss: 0.2538	LR: 0.004000
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Training Epoch: 5 [5888/48750]	Loss: 0.2546	LR: 0.004000
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Training Epoch: 5 [18688/48750]	Loss: 0.1949	LR: 0.004000
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Training Epoch: 5 [45312/48750]	Loss: 0.1343	LR: 0.004000
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Training Epoch: 5 [45824/48750]	Loss: 0.1831	LR: 0.004000
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Training Epoch: 5 [46336/48750]	Loss: 0.2378	LR: 0.004000
Training Epoch: 5 [46592/48750]	Loss: 0.2047	LR: 0.004000
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Training Epoch: 5 [47104/48750]	Loss: 0.2060	LR: 0.004000
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Training Epoch: 5 [47616/48750]	Loss: 0.1408	LR: 0.004000
Training Epoch: 5 [47872/48750]	Loss: 0.1466	LR: 0.004000
Training Epoch: 5 [48128/48750]	Loss: 0.1771	LR: 0.004000
Training Epoch: 5 [48384/48750]	Loss: 0.1451	LR: 0.004000
Training Epoch: 5 [48640/48750]	Loss: 0.1411	LR: 0.004000
Training Epoch: 5 [48750/48750]	Loss: 0.1156	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2136, Train Accuracy: 0.9314
Epoch 5 training time consumed: 19.07s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0021, Accuracy: 0.8318, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_30m_17s/ResNet18-Cifar10-seed10-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.1725	LR: 0.004000
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Training Epoch: 6 [43008/48750]	Loss: 0.1402	LR: 0.004000
Training Epoch: 6 [43264/48750]	Loss: 0.1643	LR: 0.004000
Training Epoch: 6 [43520/48750]	Loss: 0.1224	LR: 0.004000
Training Epoch: 6 [43776/48750]	Loss: 0.1246	LR: 0.004000
Training Epoch: 6 [44032/48750]	Loss: 0.1483	LR: 0.004000
Training Epoch: 6 [44288/48750]	Loss: 0.1847	LR: 0.004000
Training Epoch: 6 [44544/48750]	Loss: 0.0910	LR: 0.004000
Training Epoch: 6 [44800/48750]	Loss: 0.1277	LR: 0.004000
Training Epoch: 6 [45056/48750]	Loss: 0.1419	LR: 0.004000
Training Epoch: 6 [45312/48750]	Loss: 0.1203	LR: 0.004000
Training Epoch: 6 [45568/48750]	Loss: 0.0903	LR: 0.004000
Training Epoch: 6 [45824/48750]	Loss: 0.1184	LR: 0.004000
Training Epoch: 6 [46080/48750]	Loss: 0.0945	LR: 0.004000
Training Epoch: 6 [46336/48750]	Loss: 0.0968	LR: 0.004000
Training Epoch: 6 [46592/48750]	Loss: 0.1220	LR: 0.004000
Training Epoch: 6 [46848/48750]	Loss: 0.1330	LR: 0.004000
Training Epoch: 6 [47104/48750]	Loss: 0.1618	LR: 0.004000
Training Epoch: 6 [47360/48750]	Loss: 0.1262	LR: 0.004000
Training Epoch: 6 [47616/48750]	Loss: 0.1132	LR: 0.004000
Training Epoch: 6 [47872/48750]	Loss: 0.1242	LR: 0.004000
Training Epoch: 6 [48128/48750]	Loss: 0.1245	LR: 0.004000
Training Epoch: 6 [48384/48750]	Loss: 0.1573	LR: 0.004000
Training Epoch: 6 [48640/48750]	Loss: 0.0918	LR: 0.004000
Training Epoch: 6 [48750/48750]	Loss: 0.1200	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1250, Train Accuracy: 0.9646
Epoch 6 training time consumed: 18.87s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0022, Accuracy: 0.8291, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_30m_17s/ResNet18-Cifar10-seed10-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.0787	LR: 0.004000
Training Epoch: 7 [512/48750]	Loss: 0.0817	LR: 0.004000
Training Epoch: 7 [768/48750]	Loss: 0.0727	LR: 0.004000
Training Epoch: 7 [1024/48750]	Loss: 0.1002	LR: 0.004000
Training Epoch: 7 [1280/48750]	Loss: 0.0696	LR: 0.004000
Training Epoch: 7 [1536/48750]	Loss: 0.0528	LR: 0.004000
Training Epoch: 7 [1792/48750]	Loss: 0.0704	LR: 0.004000
Training Epoch: 7 [2048/48750]	Loss: 0.0843	LR: 0.004000
Training Epoch: 7 [2304/48750]	Loss: 0.0951	LR: 0.004000
Training Epoch: 7 [2560/48750]	Loss: 0.0907	LR: 0.004000
Training Epoch: 7 [2816/48750]	Loss: 0.0906	LR: 0.004000
Training Epoch: 7 [3072/48750]	Loss: 0.0658	LR: 0.004000
Training Epoch: 7 [3328/48750]	Loss: 0.0622	LR: 0.004000
Training Epoch: 7 [3584/48750]	Loss: 0.0582	LR: 0.004000
Training Epoch: 7 [3840/48750]	Loss: 0.0670	LR: 0.004000
Training Epoch: 7 [4096/48750]	Loss: 0.0805	LR: 0.004000
Training Epoch: 7 [4352/48750]	Loss: 0.0780	LR: 0.004000
Training Epoch: 7 [4608/48750]	Loss: 0.0623	LR: 0.004000
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Training Epoch: 7 [5120/48750]	Loss: 0.0663	LR: 0.004000
Training Epoch: 7 [5376/48750]	Loss: 0.0596	LR: 0.004000
Training Epoch: 7 [5632/48750]	Loss: 0.0708	LR: 0.004000
Training Epoch: 7 [5888/48750]	Loss: 0.0626	LR: 0.004000
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Training Epoch: 7 [8448/48750]	Loss: 0.0824	LR: 0.004000
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Training Epoch: 7 [9728/48750]	Loss: 0.0689	LR: 0.004000
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Training Epoch: 7 [10240/48750]	Loss: 0.0675	LR: 0.004000
Training Epoch: 7 [10496/48750]	Loss: 0.0791	LR: 0.004000
Training Epoch: 7 [10752/48750]	Loss: 0.0437	LR: 0.004000
Training Epoch: 7 [11008/48750]	Loss: 0.0561	LR: 0.004000
Training Epoch: 7 [11264/48750]	Loss: 0.0826	LR: 0.004000
Training Epoch: 7 [11520/48750]	Loss: 0.0886	LR: 0.004000
Training Epoch: 7 [11776/48750]	Loss: 0.0654	LR: 0.004000
Training Epoch: 7 [12032/48750]	Loss: 0.1111	LR: 0.004000
Training Epoch: 7 [12288/48750]	Loss: 0.0511	LR: 0.004000
Training Epoch: 7 [12544/48750]	Loss: 0.0506	LR: 0.004000
Training Epoch: 7 [12800/48750]	Loss: 0.0544	LR: 0.004000
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Training Epoch: 7 [15104/48750]	Loss: 0.0593	LR: 0.004000
Training Epoch: 7 [15360/48750]	Loss: 0.0788	LR: 0.004000
Training Epoch: 7 [15616/48750]	Loss: 0.0707	LR: 0.004000
Training Epoch: 7 [15872/48750]	Loss: 0.0458	LR: 0.004000
Training Epoch: 7 [16128/48750]	Loss: 0.0714	LR: 0.004000
Training Epoch: 7 [16384/48750]	Loss: 0.0794	LR: 0.004000
Training Epoch: 7 [16640/48750]	Loss: 0.0748	LR: 0.004000
Training Epoch: 7 [16896/48750]	Loss: 0.0867	LR: 0.004000
Training Epoch: 7 [17152/48750]	Loss: 0.0537	LR: 0.004000
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Training Epoch: 7 [23040/48750]	Loss: 0.0579	LR: 0.004000
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Training Epoch: 7 [26368/48750]	Loss: 0.0467	LR: 0.004000
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Training Epoch: 7 [32768/48750]	Loss: 0.0486	LR: 0.004000
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Training Epoch: 7 [36352/48750]	Loss: 0.0529	LR: 0.004000
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Training Epoch: 7 [36864/48750]	Loss: 0.0651	LR: 0.004000
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Training Epoch: 7 [37376/48750]	Loss: 0.0598	LR: 0.004000
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Training Epoch: 7 [37888/48750]	Loss: 0.0756	LR: 0.004000
Training Epoch: 7 [38144/48750]	Loss: 0.1172	LR: 0.004000
Training Epoch: 7 [38400/48750]	Loss: 0.0984	LR: 0.004000
Training Epoch: 7 [38656/48750]	Loss: 0.0575	LR: 0.004000
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Training Epoch: 7 [40192/48750]	Loss: 0.0517	LR: 0.004000
Training Epoch: 7 [40448/48750]	Loss: 0.0895	LR: 0.004000
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Training Epoch: 7 [40960/48750]	Loss: 0.0475	LR: 0.004000
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Training Epoch: 7 [42496/48750]	Loss: 0.0947	LR: 0.004000
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Training Epoch: 7 [43008/48750]	Loss: 0.0712	LR: 0.004000
Training Epoch: 7 [43264/48750]	Loss: 0.0467	LR: 0.004000
Training Epoch: 7 [43520/48750]	Loss: 0.0775	LR: 0.004000
Training Epoch: 7 [43776/48750]	Loss: 0.0799	LR: 0.004000
Training Epoch: 7 [44032/48750]	Loss: 0.1018	LR: 0.004000
Training Epoch: 7 [44288/48750]	Loss: 0.0876	LR: 0.004000
Training Epoch: 7 [44544/48750]	Loss: 0.0511	LR: 0.004000
Training Epoch: 7 [44800/48750]	Loss: 0.0664	LR: 0.004000
Training Epoch: 7 [45056/48750]	Loss: 0.0865	LR: 0.004000
Training Epoch: 7 [45312/48750]	Loss: 0.0876	LR: 0.004000
Training Epoch: 7 [45568/48750]	Loss: 0.0474	LR: 0.004000
Training Epoch: 7 [45824/48750]	Loss: 0.0725	LR: 0.004000
Training Epoch: 7 [46080/48750]	Loss: 0.0532	LR: 0.004000
Training Epoch: 7 [46336/48750]	Loss: 0.1059	LR: 0.004000
Training Epoch: 7 [46592/48750]	Loss: 0.0650	LR: 0.004000
Training Epoch: 7 [46848/48750]	Loss: 0.0533	LR: 0.004000
Training Epoch: 7 [47104/48750]	Loss: 0.0626	LR: 0.004000
Training Epoch: 7 [47360/48750]	Loss: 0.0855	LR: 0.004000
Training Epoch: 7 [47616/48750]	Loss: 0.0550	LR: 0.004000
Training Epoch: 7 [47872/48750]	Loss: 0.0660	LR: 0.004000
Training Epoch: 7 [48128/48750]	Loss: 0.0805	LR: 0.004000
Training Epoch: 7 [48384/48750]	Loss: 0.0637	LR: 0.004000
Training Epoch: 7 [48640/48750]	Loss: 0.0800	LR: 0.004000
Training Epoch: 7 [48750/48750]	Loss: 0.0744	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0667, Train Accuracy: 0.9857
Epoch 7 training time consumed: 18.97s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8155, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_30m_17s/ResNet18-Cifar10-seed10-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0431	LR: 0.004000
Training Epoch: 8 [512/48750]	Loss: 0.0221	LR: 0.004000
Training Epoch: 8 [768/48750]	Loss: 0.0345	LR: 0.004000
Training Epoch: 8 [1024/48750]	Loss: 0.0362	LR: 0.004000
Training Epoch: 8 [1280/48750]	Loss: 0.0388	LR: 0.004000
Training Epoch: 8 [1536/48750]	Loss: 0.0376	LR: 0.004000
Training Epoch: 8 [1792/48750]	Loss: 0.0300	LR: 0.004000
Training Epoch: 8 [2048/48750]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [2304/48750]	Loss: 0.0544	LR: 0.004000
Training Epoch: 8 [2560/48750]	Loss: 0.0718	LR: 0.004000
Training Epoch: 8 [2816/48750]	Loss: 0.0607	LR: 0.004000
Training Epoch: 8 [3072/48750]	Loss: 0.0477	LR: 0.004000
Training Epoch: 8 [3328/48750]	Loss: 0.0335	LR: 0.004000
Training Epoch: 8 [3584/48750]	Loss: 0.0378	LR: 0.004000
Training Epoch: 8 [3840/48750]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [4096/48750]	Loss: 0.0300	LR: 0.004000
Training Epoch: 8 [4352/48750]	Loss: 0.0369	LR: 0.004000
Training Epoch: 8 [4608/48750]	Loss: 0.0386	LR: 0.004000
Training Epoch: 8 [4864/48750]	Loss: 0.0335	LR: 0.004000
Training Epoch: 8 [5120/48750]	Loss: 0.0545	LR: 0.004000
Training Epoch: 8 [5376/48750]	Loss: 0.0310	LR: 0.004000
Training Epoch: 8 [5632/48750]	Loss: 0.0301	LR: 0.004000
Training Epoch: 8 [5888/48750]	Loss: 0.0377	LR: 0.004000
Training Epoch: 8 [6144/48750]	Loss: 0.0489	LR: 0.004000
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Training Epoch: 8 [6656/48750]	Loss: 0.0361	LR: 0.004000
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Training Epoch: 8 [8448/48750]	Loss: 0.0448	LR: 0.004000
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Training Epoch: 8 [9984/48750]	Loss: 0.0378	LR: 0.004000
Training Epoch: 8 [10240/48750]	Loss: 0.0310	LR: 0.004000
Training Epoch: 8 [10496/48750]	Loss: 0.0306	LR: 0.004000
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Training Epoch: 8 [11008/48750]	Loss: 0.0459	LR: 0.004000
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Training Epoch: 8 [11520/48750]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [11776/48750]	Loss: 0.0202	LR: 0.004000
Training Epoch: 8 [12032/48750]	Loss: 0.0364	LR: 0.004000
Training Epoch: 8 [12288/48750]	Loss: 0.0341	LR: 0.004000
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Training Epoch: 8 [12800/48750]	Loss: 0.0216	LR: 0.004000
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Training Epoch: 8 [14080/48750]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [14336/48750]	Loss: 0.0436	LR: 0.004000
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Training Epoch: 8 [15104/48750]	Loss: 0.0375	LR: 0.004000
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Training Epoch: 8 [15616/48750]	Loss: 0.0240	LR: 0.004000
Training Epoch: 8 [15872/48750]	Loss: 0.0373	LR: 0.004000
Training Epoch: 8 [16128/48750]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [16384/48750]	Loss: 0.0345	LR: 0.004000
Training Epoch: 8 [16640/48750]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [16896/48750]	Loss: 0.0275	LR: 0.004000
Training Epoch: 8 [17152/48750]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [17408/48750]	Loss: 0.0253	LR: 0.004000
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Training Epoch: 8 [19456/48750]	Loss: 0.0358	LR: 0.004000
Training Epoch: 8 [19712/48750]	Loss: 0.0231	LR: 0.004000
Training Epoch: 8 [19968/48750]	Loss: 0.0345	LR: 0.004000
Training Epoch: 8 [20224/48750]	Loss: 0.0264	LR: 0.004000
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Training Epoch: 8 [20736/48750]	Loss: 0.0285	LR: 0.004000
Training Epoch: 8 [20992/48750]	Loss: 0.0240	LR: 0.004000
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Training Epoch: 8 [22016/48750]	Loss: 0.0321	LR: 0.004000
Training Epoch: 8 [22272/48750]	Loss: 0.0273	LR: 0.004000
Training Epoch: 8 [22528/48750]	Loss: 0.0308	LR: 0.004000
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Training Epoch: 8 [24576/48750]	Loss: 0.0324	LR: 0.004000
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Training Epoch: 8 [25088/48750]	Loss: 0.0363	LR: 0.004000
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Training Epoch: 8 [26368/48750]	Loss: 0.0243	LR: 0.004000
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Training Epoch: 8 [27904/48750]	Loss: 0.0351	LR: 0.004000
Training Epoch: 8 [28160/48750]	Loss: 0.0255	LR: 0.004000
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Training Epoch: 8 [28672/48750]	Loss: 0.0287	LR: 0.004000
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Training Epoch: 8 [31744/48750]	Loss: 0.0279	LR: 0.004000
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Training Epoch: 8 [32256/48750]	Loss: 0.0164	LR: 0.004000
Training Epoch: 8 [32512/48750]	Loss: 0.0292	LR: 0.004000
Training Epoch: 8 [32768/48750]	Loss: 0.0347	LR: 0.004000
Training Epoch: 8 [33024/48750]	Loss: 0.0270	LR: 0.004000
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Training Epoch: 8 [34816/48750]	Loss: 0.0361	LR: 0.004000
Training Epoch: 8 [35072/48750]	Loss: 0.0252	LR: 0.004000
Training Epoch: 8 [35328/48750]	Loss: 0.0411	LR: 0.004000
Training Epoch: 8 [35584/48750]	Loss: 0.0406	LR: 0.004000
Training Epoch: 8 [35840/48750]	Loss: 0.0428	LR: 0.004000
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Training Epoch: 8 [36352/48750]	Loss: 0.0260	LR: 0.004000
Training Epoch: 8 [36608/48750]	Loss: 0.0331	LR: 0.004000
Training Epoch: 8 [36864/48750]	Loss: 0.0243	LR: 0.004000
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Training Epoch: 8 [37376/48750]	Loss: 0.0387	LR: 0.004000
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Training Epoch: 8 [38144/48750]	Loss: 0.0221	LR: 0.004000
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Training Epoch: 8 [38656/48750]	Loss: 0.0277	LR: 0.004000
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Training Epoch: 8 [39168/48750]	Loss: 0.0383	LR: 0.004000
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Training Epoch: 8 [40448/48750]	Loss: 0.0332	LR: 0.004000
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Training Epoch: 8 [41216/48750]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [41472/48750]	Loss: 0.0276	LR: 0.004000
Training Epoch: 8 [41728/48750]	Loss: 0.0270	LR: 0.004000
Training Epoch: 8 [41984/48750]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [42240/48750]	Loss: 0.0410	LR: 0.004000
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Training Epoch: 8 [42752/48750]	Loss: 0.0393	LR: 0.004000
Training Epoch: 8 [43008/48750]	Loss: 0.0308	LR: 0.004000
Training Epoch: 8 [43264/48750]	Loss: 0.0282	LR: 0.004000
Training Epoch: 8 [43520/48750]	Loss: 0.0347	LR: 0.004000
Training Epoch: 8 [43776/48750]	Loss: 0.0522	LR: 0.004000
Training Epoch: 8 [44032/48750]	Loss: 0.0322	LR: 0.004000
Training Epoch: 8 [44288/48750]	Loss: 0.0198	LR: 0.004000
Training Epoch: 8 [44544/48750]	Loss: 0.0322	LR: 0.004000
Training Epoch: 8 [44800/48750]	Loss: 0.0205	LR: 0.004000
Training Epoch: 8 [45056/48750]	Loss: 0.0424	LR: 0.004000
Training Epoch: 8 [45312/48750]	Loss: 0.0245	LR: 0.004000
Training Epoch: 8 [45568/48750]	Loss: 0.0335	LR: 0.004000
Training Epoch: 8 [45824/48750]	Loss: 0.0289	LR: 0.004000
Training Epoch: 8 [46080/48750]	Loss: 0.0397	LR: 0.004000
Training Epoch: 8 [46336/48750]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [46592/48750]	Loss: 0.0246	LR: 0.004000
Training Epoch: 8 [46848/48750]	Loss: 0.0260	LR: 0.004000
Training Epoch: 8 [47104/48750]	Loss: 0.0157	LR: 0.004000
Training Epoch: 8 [47360/48750]	Loss: 0.0430	LR: 0.004000
Training Epoch: 8 [47616/48750]	Loss: 0.0361	LR: 0.004000
Training Epoch: 8 [47872/48750]	Loss: 0.0308	LR: 0.004000
Training Epoch: 8 [48128/48750]	Loss: 0.0212	LR: 0.004000
Training Epoch: 8 [48384/48750]	Loss: 0.0291	LR: 0.004000
Training Epoch: 8 [48640/48750]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [48750/48750]	Loss: 0.0283	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0318, Train Accuracy: 0.9959
Epoch 8 training time consumed: 18.89s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0025, Accuracy: 0.8258, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_30m_17s/ResNet18-Cifar10-seed10-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [512/48750]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [768/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [1024/48750]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [1280/48750]	Loss: 0.0169	LR: 0.000800
Training Epoch: 9 [1536/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [1792/48750]	Loss: 0.0197	LR: 0.000800
Training Epoch: 9 [2048/48750]	Loss: 0.0260	LR: 0.000800
Training Epoch: 9 [2304/48750]	Loss: 0.0174	LR: 0.000800
Training Epoch: 9 [2560/48750]	Loss: 0.0200	LR: 0.000800
Training Epoch: 9 [2816/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [3072/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [3328/48750]	Loss: 0.0191	LR: 0.000800
Training Epoch: 9 [3584/48750]	Loss: 0.0169	LR: 0.000800
Training Epoch: 9 [3840/48750]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [4096/48750]	Loss: 0.0180	LR: 0.000800
Training Epoch: 9 [4352/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [4608/48750]	Loss: 0.0206	LR: 0.000800
Training Epoch: 9 [4864/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [5120/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [5376/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [5632/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [5888/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [6144/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [6400/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [6656/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [6912/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [7168/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [7424/48750]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [7680/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [7936/48750]	Loss: 0.0185	LR: 0.000800
Training Epoch: 9 [8192/48750]	Loss: 0.0175	LR: 0.000800
Training Epoch: 9 [8448/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [8704/48750]	Loss: 0.0170	LR: 0.000800
Training Epoch: 9 [8960/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [9216/48750]	Loss: 0.0158	LR: 0.000800
Training Epoch: 9 [9472/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [9728/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [9984/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [10240/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [10496/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [10752/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [11008/48750]	Loss: 0.0216	LR: 0.000800
Training Epoch: 9 [11264/48750]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [11520/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [11776/48750]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [12032/48750]	Loss: 0.0187	LR: 0.000800
Training Epoch: 9 [12288/48750]	Loss: 0.0189	LR: 0.000800
Training Epoch: 9 [12544/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [12800/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [13056/48750]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [13312/48750]	Loss: 0.0254	LR: 0.000800
Training Epoch: 9 [13568/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [13824/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [14080/48750]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [14336/48750]	Loss: 0.0207	LR: 0.000800
Training Epoch: 9 [14592/48750]	Loss: 0.0190	LR: 0.000800
Training Epoch: 9 [14848/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [15104/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [15360/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [15616/48750]	Loss: 0.0172	LR: 0.000800
Training Epoch: 9 [15872/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [16128/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [16384/48750]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [16640/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [16896/48750]	Loss: 0.0176	LR: 0.000800
Training Epoch: 9 [17152/48750]	Loss: 0.0195	LR: 0.000800
Training Epoch: 9 [17408/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [17664/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [17920/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [18176/48750]	Loss: 0.0208	LR: 0.000800
Training Epoch: 9 [18432/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [18688/48750]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [18944/48750]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [19200/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [19456/48750]	Loss: 0.0311	LR: 0.000800
Training Epoch: 9 [19712/48750]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [19968/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [20224/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [20480/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [20736/48750]	Loss: 0.0170	LR: 0.000800
Training Epoch: 9 [20992/48750]	Loss: 0.0178	LR: 0.000800
Training Epoch: 9 [21248/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [21504/48750]	Loss: 0.0283	LR: 0.000800
Training Epoch: 9 [21760/48750]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [22016/48750]	Loss: 0.0215	LR: 0.000800
Training Epoch: 9 [22272/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [22528/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [22784/48750]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [23040/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [23296/48750]	Loss: 0.0190	LR: 0.000800
Training Epoch: 9 [23552/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [23808/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [24064/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [24320/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [24576/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [24832/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [25088/48750]	Loss: 0.0251	LR: 0.000800
Training Epoch: 9 [25344/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [25600/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [25856/48750]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [26112/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [26368/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [26624/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [26880/48750]	Loss: 0.0198	LR: 0.000800
Training Epoch: 9 [27136/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [27392/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [27648/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [27904/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [28160/48750]	Loss: 0.0158	LR: 0.000800
Training Epoch: 9 [28416/48750]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [28672/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [28928/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [29184/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [29440/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [29696/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [29952/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [30208/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [30464/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [30720/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [30976/48750]	Loss: 0.0187	LR: 0.000800
Training Epoch: 9 [31232/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [31488/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [31744/48750]	Loss: 0.0198	LR: 0.000800
Training Epoch: 9 [32000/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [32256/48750]	Loss: 0.0203	LR: 0.000800
Training Epoch: 9 [32512/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [32768/48750]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [33024/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [33280/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [33536/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [33792/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [34048/48750]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [34304/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [34560/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [34816/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [35072/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [35328/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [35584/48750]	Loss: 0.0187	LR: 0.000800
Training Epoch: 9 [35840/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [36096/48750]	Loss: 0.0172	LR: 0.000800
Training Epoch: 9 [36352/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [36608/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [36864/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [37120/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [37376/48750]	Loss: 0.0325	LR: 0.000800
Training Epoch: 9 [37632/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [37888/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [38144/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [38400/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [38656/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [38912/48750]	Loss: 0.0162	LR: 0.000800
Training Epoch: 9 [39168/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [39424/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [39680/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [39936/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [40192/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [40448/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [40704/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [40960/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [41216/48750]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [41472/48750]	Loss: 0.0207	LR: 0.000800
Training Epoch: 9 [41728/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [41984/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [42240/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [42496/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [42752/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [43008/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [43264/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [43520/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [43776/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [44032/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [44288/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [44544/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [44800/48750]	Loss: 0.0173	LR: 0.000800
Training Epoch: 9 [45056/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [45312/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [45568/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [45824/48750]	Loss: 0.0171	LR: 0.000800
Training Epoch: 9 [46080/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [46336/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [46592/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [46848/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [47104/48750]	Loss: 0.0185	LR: 0.000800
Training Epoch: 9 [47360/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [47616/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [47872/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [48128/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [48384/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [48640/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [48750/48750]	Loss: 0.0163	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0145, Train Accuracy: 0.9995
Epoch 9 training time consumed: 19.16s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0025, Accuracy: 0.8297, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_30m_17s/ResNet18-Cifar10-seed10-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [512/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [768/48750]	Loss: 0.0201	LR: 0.000800
Training Epoch: 10 [1024/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [1280/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [1536/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [1792/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [2048/48750]	Loss: 0.0187	LR: 0.000800
Training Epoch: 10 [2304/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [2560/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [2816/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [3072/48750]	Loss: 0.0153	LR: 0.000800
Training Epoch: 10 [3328/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [3584/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [3840/48750]	Loss: 0.0177	LR: 0.000800
Training Epoch: 10 [4096/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [4352/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [4608/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [4864/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [5120/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [5376/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [5632/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [5888/48750]	Loss: 0.0190	LR: 0.000800
Training Epoch: 10 [6144/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [6400/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [6656/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [6912/48750]	Loss: 0.0182	LR: 0.000800
Training Epoch: 10 [7168/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [7424/48750]	Loss: 0.0087	LR: 0.000800
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Training Epoch: 10 [7936/48750]	Loss: 0.0129	LR: 0.000800
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Training Epoch: 10 [8704/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [8960/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [9216/48750]	Loss: 0.0104	LR: 0.000800
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Training Epoch: 10 [9728/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [9984/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [10240/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [10496/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [10752/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [11008/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [11264/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [11520/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [11776/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 10 [12032/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 10 [12288/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [12544/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [12800/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [13056/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [13312/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [13568/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [13824/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [14080/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [14336/48750]	Loss: 0.0248	LR: 0.000800
Training Epoch: 10 [14592/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [14848/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [15104/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [15360/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [15616/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [15872/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [16128/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [16384/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 10 [16640/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [16896/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [17152/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [17408/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [17664/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [17920/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [18176/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [18432/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [18688/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [18944/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [19200/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [19456/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [19712/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [19968/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [20224/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [20480/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [20736/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [20992/48750]	Loss: 0.0166	LR: 0.000800
Training Epoch: 10 [21248/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 10 [21504/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [21760/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 10 [22016/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [22272/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [22528/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [22784/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [23040/48750]	Loss: 0.0171	LR: 0.000800
Training Epoch: 10 [23296/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [23552/48750]	Loss: 0.0210	LR: 0.000800
Training Epoch: 10 [23808/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [24064/48750]	Loss: 0.0161	LR: 0.000800
Training Epoch: 10 [24320/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [24576/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [24832/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [25088/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [25344/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [25600/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [25856/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [26112/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [26368/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [26624/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [26880/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [27136/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [27392/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 10 [27648/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 10 [27904/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [28160/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [28416/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [28672/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [28928/48750]	Loss: 0.0171	LR: 0.000800
Training Epoch: 10 [29184/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [29440/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [29696/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [29952/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [30208/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 10 [30464/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [30720/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [30976/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [31232/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [31488/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [31744/48750]	Loss: 0.0103	LR: 0.000800
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Training Epoch: 10 [32256/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [32512/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [32768/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [33024/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [33280/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [33536/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [33792/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [34048/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [34304/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [34560/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [34816/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [35072/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [35328/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [35584/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 10 [35840/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 10 [36096/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [36352/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [36608/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 10 [36864/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [37120/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [37376/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 10 [37632/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [37888/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [38144/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [38400/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [38656/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [38912/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 10 [39168/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [39424/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 10 [39680/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [39936/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [40192/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [40448/48750]	Loss: 0.0187	LR: 0.000800
Training Epoch: 10 [40704/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [40960/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [41216/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [41472/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [41728/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [41984/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [42240/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 10 [42496/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [42752/48750]	Loss: 0.0243	LR: 0.000800
Training Epoch: 10 [43008/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [43264/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [43520/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [43776/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [44032/48750]	Loss: 0.0174	LR: 0.000800
Training Epoch: 10 [44288/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [44544/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [44800/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [45056/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 10 [45312/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 10 [45568/48750]	Loss: 0.0234	LR: 0.000800
Training Epoch: 10 [45824/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 10 [46080/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [46336/48750]	Loss: 0.0170	LR: 0.000800
Training Epoch: 10 [46592/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 10 [46848/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [47104/48750]	Loss: 0.0181	LR: 0.000800
Training Epoch: 10 [47360/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [47616/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [47872/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [48128/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [48384/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [48640/48750]	Loss: 0.0182	LR: 0.000800
Training Epoch: 10 [48750/48750]	Loss: 0.0403	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0122, Train Accuracy: 0.9998
Epoch 10 training time consumed: 18.93s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0025, Accuracy: 0.8298, Time consumed:1.09s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_22h_30m_17s/ResNet18-Cifar10-seed10-ret75-10-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 83.0859375
Retain Accuracy: 99.98363494873047
Zero-Retain Forget (ZRF): 0.7779102325439453
Membership Inference Attack (MIA): 0.6328
Forget vs Retain Membership Inference Attack (MIA): 0.578
Forget vs Test Membership Inference Attack (MIA): 0.51
Test vs Retain Membership Inference Attack (MIA): 0.602
Train vs Test Membership Inference Attack (MIA): 0.62175
Forget Set Accuracy (Df): 83.97469329833984
Method Execution Time: 1130.02 seconds
