
Retain class distribution for seed 1:
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

Forget class distribution for seed 1:
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

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
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.3855	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3840	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3558	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3663	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3184	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2873	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2586	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2444	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2579	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.3133	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2861	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1609	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1244	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.0658	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0680	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0271	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0116	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0343	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.0335	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9368	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.8831	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.8570	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.9047	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.7520	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9075	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8463	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9385	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.9021	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8348	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8546	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8467	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8995	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8615	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 2.0398	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8836	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.9214	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8098	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8628	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8755	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.8556	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7939	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7723	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8120	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8148	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7840	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.9009	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7606	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.8564	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.8366	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7042	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.9983	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7330	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7645	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.7809	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7706	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7856	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7173	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7286	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6725	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7204	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7703	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6264	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.6584	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6411	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.5063	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7129	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6105	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6032	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6350	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.8138	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.7084	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.5658	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.7417	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7225	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.8595	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6999	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.7067	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.7959	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6404	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6684	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6171	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5261	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.6230	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.5991	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.8765	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.7871	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.8314	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6613	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.6456	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6511	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6260	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.7235	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6157	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.6875	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5164	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.5250	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.6917	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.6039	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.7126	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5449	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.5107	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6674	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.7739	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.4533	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4834	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.6218	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.5103	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.6347	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.4688	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.5881	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.6021	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.5216	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.5803	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5440	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.6032	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.4557	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.7108	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.5621	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.6294	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5745	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.3992	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.4920	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.5728	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.5588	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.5323	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.6416	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.5997	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.4897	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.6115	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.5947	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.6102	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.6066	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.7236	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.5944	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.7267	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.5782	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.5346	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4365	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.6108	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.6957	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.6035	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.5223	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.5146	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.6036	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.6489	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.5997	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4504	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.5810	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.5320	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.5960	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.5650	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.5471	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.5138	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.5709	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4078	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.3675	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.6325	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4406	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.4311	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.7728	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.5471	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.5572	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4283	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.6238	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.5618	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.5170	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3821	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4352	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.5428	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.5277	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.5609	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.6938	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3543	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.6260	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.4804	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.4848	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.5244	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3795	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.5194	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.5578	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3576	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.5786	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.4597	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.5620	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4459	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.5216	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.3046	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.4967	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.5162	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.3682	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.5606	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6988, Train Accuracy: 0.3760
Epoch 1 training time consumed: 30.13s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0095, Accuracy: 0.3557, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.3970	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.5525	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.6048	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.4153	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4094	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.3160	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.4019	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4300	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.4640	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.2908	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.3435	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3585	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.3036	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.2964	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.4971	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.2491	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.3207	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.2600	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.2935	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.4561	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3034	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.3769	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.3906	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.2582	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.4224	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.4846	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.4290	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3946	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3240	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.4353	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.2328	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.4042	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.4504	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.1394	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.2950	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.4895	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.3356	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2459	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.2993	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.1191	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2472	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2801	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.2153	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2926	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.2074	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.1387	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.3102	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.1059	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.0879	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.2097	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.2369	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2983	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2372	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.1339	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1914	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2798	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2053	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.1716	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.3287	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.1929	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.1930	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.1004	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.1471	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.3219	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.3563	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.1642	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.2689	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2692	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2503	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2783	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.3181	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.2083	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2684	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.1478	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.2796	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.1976	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.2648	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1507	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.1222	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1725	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.3242	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1133	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.2149	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 1.0998	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 1.0236	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.1305	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1834, Train Accuracy: 0.5759
Epoch 2 training time consumed: 30.04s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0061, Accuracy: 0.5088, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.1841	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.8710	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 1.0363	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.8753	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9329, Train Accuracy: 0.6719
Epoch 3 training time consumed: 29.64s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0043, Accuracy: 0.6150, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9404	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.7822	LR: 0.100000
Epoch 4 - Average Train Loss: 0.7952, Train Accuracy: 0.7192
Epoch 4 training time consumed: 30.02s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0028, Accuracy: 0.7597, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.6545	LR: 0.100000
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Training Epoch: 5 [25344/48750]	Loss: 0.5992	LR: 0.100000
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Training Epoch: 5 [43776/48750]	Loss: 0.7019	LR: 0.100000
Training Epoch: 5 [44032/48750]	Loss: 0.6664	LR: 0.100000
Training Epoch: 5 [44288/48750]	Loss: 0.8309	LR: 0.100000
Training Epoch: 5 [44544/48750]	Loss: 0.7312	LR: 0.100000
Training Epoch: 5 [44800/48750]	Loss: 0.6708	LR: 0.100000
Training Epoch: 5 [45056/48750]	Loss: 0.7093	LR: 0.100000
Training Epoch: 5 [45312/48750]	Loss: 0.6609	LR: 0.100000
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Training Epoch: 5 [45824/48750]	Loss: 0.6349	LR: 0.100000
Training Epoch: 5 [46080/48750]	Loss: 0.6120	LR: 0.100000
Training Epoch: 5 [46336/48750]	Loss: 0.6610	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.5569	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.6679	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.5652	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.6466	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.8367	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.6312	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.6391	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.6546	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.5892	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.7920	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7066, Train Accuracy: 0.7522
Epoch 5 training time consumed: 30.33s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0041, Accuracy: 0.6676, Time consumed:0.99s
Training Epoch: 6 [256/48750]	Loss: 0.6158	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.7567	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.7236	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.7170	LR: 0.100000
Training Epoch: 6 [1280/48750]	Loss: 0.6424	LR: 0.100000
Training Epoch: 6 [1536/48750]	Loss: 0.6818	LR: 0.100000
Training Epoch: 6 [1792/48750]	Loss: 0.6239	LR: 0.100000
Training Epoch: 6 [2048/48750]	Loss: 0.6014	LR: 0.100000
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Training Epoch: 6 [2560/48750]	Loss: 0.6817	LR: 0.100000
Training Epoch: 6 [2816/48750]	Loss: 0.6340	LR: 0.100000
Training Epoch: 6 [3072/48750]	Loss: 0.6408	LR: 0.100000
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Training Epoch: 6 [5888/48750]	Loss: 0.6205	LR: 0.100000
Training Epoch: 6 [6144/48750]	Loss: 0.6407	LR: 0.100000
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Training Epoch: 6 [45056/48750]	Loss: 0.6189	LR: 0.100000
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Training Epoch: 6 [46336/48750]	Loss: 0.6153	LR: 0.100000
Training Epoch: 6 [46592/48750]	Loss: 0.5306	LR: 0.100000
Training Epoch: 6 [46848/48750]	Loss: 0.6297	LR: 0.100000
Training Epoch: 6 [47104/48750]	Loss: 0.6940	LR: 0.100000
Training Epoch: 6 [47360/48750]	Loss: 0.5766	LR: 0.100000
Training Epoch: 6 [47616/48750]	Loss: 0.6081	LR: 0.100000
Training Epoch: 6 [47872/48750]	Loss: 0.5816	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.7493	LR: 0.100000
Training Epoch: 6 [48384/48750]	Loss: 0.5666	LR: 0.100000
Training Epoch: 6 [48640/48750]	Loss: 0.5472	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.5988	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6368, Train Accuracy: 0.7786
Epoch 6 training time consumed: 30.04s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0028, Accuracy: 0.7666, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.6098	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.6529	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.6142	LR: 0.100000
Training Epoch: 7 [1024/48750]	Loss: 0.5628	LR: 0.100000
Training Epoch: 7 [1280/48750]	Loss: 0.7596	LR: 0.100000
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Training Epoch: 7 [2816/48750]	Loss: 0.6058	LR: 0.100000
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Training Epoch: 7 [48750/48750]	Loss: 0.4981	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5963, Train Accuracy: 0.7947
Epoch 7 training time consumed: 30.02s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.7888, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.6238	LR: 0.020000
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Training Epoch: 8 [28672/48750]	Loss: 0.5159	LR: 0.020000
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Training Epoch: 8 [32512/48750]	Loss: 0.4630	LR: 0.020000
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Training Epoch: 8 [44544/48750]	Loss: 0.3339	LR: 0.020000
Training Epoch: 8 [44800/48750]	Loss: 0.4347	LR: 0.020000
Training Epoch: 8 [45056/48750]	Loss: 0.4784	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4072	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.3580	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.2854	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.4224	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4869	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.3718	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.3690	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4639	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4648	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4643	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4118	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4375	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.5116	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4137	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.5093	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4444, Train Accuracy: 0.8468
Epoch 8 training time consumed: 29.86s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8549, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.2726	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.3347	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.5383	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3722	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4112	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.2781	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4234	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.3558	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4461	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.4025	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.3688	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.3588	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.3510	LR: 0.020000
Training Epoch: 9 [3584/48750]	Loss: 0.3754	LR: 0.020000
Training Epoch: 9 [3840/48750]	Loss: 0.3995	LR: 0.020000
Training Epoch: 9 [4096/48750]	Loss: 0.3959	LR: 0.020000
Training Epoch: 9 [4352/48750]	Loss: 0.3544	LR: 0.020000
Training Epoch: 9 [4608/48750]	Loss: 0.4286	LR: 0.020000
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Training Epoch: 9 [5888/48750]	Loss: 0.3412	LR: 0.020000
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Training Epoch: 9 [12032/48750]	Loss: 0.3760	LR: 0.020000
Training Epoch: 9 [12288/48750]	Loss: 0.4039	LR: 0.020000
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Training Epoch: 9 [16128/48750]	Loss: 0.4309	LR: 0.020000
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Training Epoch: 9 [31232/48750]	Loss: 0.3486	LR: 0.020000
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Training Epoch: 9 [32256/48750]	Loss: 0.2944	LR: 0.020000
Training Epoch: 9 [32512/48750]	Loss: 0.3781	LR: 0.020000
Training Epoch: 9 [32768/48750]	Loss: 0.4364	LR: 0.020000
Training Epoch: 9 [33024/48750]	Loss: 0.3413	LR: 0.020000
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Training Epoch: 9 [35840/48750]	Loss: 0.3240	LR: 0.020000
Training Epoch: 9 [36096/48750]	Loss: 0.4284	LR: 0.020000
Training Epoch: 9 [36352/48750]	Loss: 0.4713	LR: 0.020000
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Training Epoch: 9 [38656/48750]	Loss: 0.3071	LR: 0.020000
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Training Epoch: 9 [40192/48750]	Loss: 0.3782	LR: 0.020000
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Training Epoch: 9 [40960/48750]	Loss: 0.3995	LR: 0.020000
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Training Epoch: 9 [43008/48750]	Loss: 0.3880	LR: 0.020000
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Training Epoch: 9 [43776/48750]	Loss: 0.3774	LR: 0.020000
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Training Epoch: 9 [44288/48750]	Loss: 0.3819	LR: 0.020000
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Training Epoch: 9 [44800/48750]	Loss: 0.3904	LR: 0.020000
Training Epoch: 9 [45056/48750]	Loss: 0.4103	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.3256	LR: 0.020000
Training Epoch: 9 [45568/48750]	Loss: 0.3296	LR: 0.020000
Training Epoch: 9 [45824/48750]	Loss: 0.3606	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.3493	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.4119	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3631	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.3748	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3877	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4755	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4379	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4759	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.3638	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3717	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.5523	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3487	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3996, Train Accuracy: 0.8593
Epoch 9 training time consumed: 30.13s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8647, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.4003	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3060	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4216	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3933	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3754	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3844	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3890	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.4347	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.4016	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4234	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.4532	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3430	LR: 0.020000
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Training Epoch: 10 [48128/48750]	Loss: 0.2806	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4204	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.3598	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.3821	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3798, Train Accuracy: 0.8662
Epoch 10 training time consumed: 30.02s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8712, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.3112	LR: 0.020000
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Training Epoch: 11 [768/48750]	Loss: 0.2828	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.3490	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3162	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.3334	LR: 0.020000
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Training Epoch: 11 [9984/48750]	Loss: 0.3936	LR: 0.020000
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Training Epoch: 11 [10496/48750]	Loss: 0.3008	LR: 0.020000
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Training Epoch: 11 [24576/48750]	Loss: 0.3853	LR: 0.020000
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Training Epoch: 11 [27136/48750]	Loss: 0.3801	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3240	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.3153	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.3227	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.2786	LR: 0.020000
Training Epoch: 11 [28416/48750]	Loss: 0.3806	LR: 0.020000
Training Epoch: 11 [28672/48750]	Loss: 0.4004	LR: 0.020000
Training Epoch: 11 [28928/48750]	Loss: 0.4718	LR: 0.020000
Training Epoch: 11 [29184/48750]	Loss: 0.3981	LR: 0.020000
Training Epoch: 11 [29440/48750]	Loss: 0.3922	LR: 0.020000
Training Epoch: 11 [29696/48750]	Loss: 0.3674	LR: 0.020000
Training Epoch: 11 [29952/48750]	Loss: 0.3621	LR: 0.020000
Training Epoch: 11 [30208/48750]	Loss: 0.4037	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.2897	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.4179	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.3173	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3291	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.3475	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3259	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.2798	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.4500	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3931	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3528	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.3677	LR: 0.020000
Training Epoch: 11 [33280/48750]	Loss: 0.4235	LR: 0.020000
Training Epoch: 11 [33536/48750]	Loss: 0.4140	LR: 0.020000
Training Epoch: 11 [33792/48750]	Loss: 0.3408	LR: 0.020000
Training Epoch: 11 [34048/48750]	Loss: 0.4323	LR: 0.020000
Training Epoch: 11 [34304/48750]	Loss: 0.4170	LR: 0.020000
Training Epoch: 11 [34560/48750]	Loss: 0.3164	LR: 0.020000
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Training Epoch: 11 [35072/48750]	Loss: 0.4773	LR: 0.020000
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Training Epoch: 11 [35840/48750]	Loss: 0.3575	LR: 0.020000
Training Epoch: 11 [36096/48750]	Loss: 0.4093	LR: 0.020000
Training Epoch: 11 [36352/48750]	Loss: 0.4156	LR: 0.020000
Training Epoch: 11 [36608/48750]	Loss: 0.3381	LR: 0.020000
Training Epoch: 11 [36864/48750]	Loss: 0.3736	LR: 0.020000
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Training Epoch: 11 [37376/48750]	Loss: 0.3139	LR: 0.020000
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Training Epoch: 11 [39168/48750]	Loss: 0.3563	LR: 0.020000
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Training Epoch: 11 [39936/48750]	Loss: 0.3779	LR: 0.020000
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Training Epoch: 11 [40448/48750]	Loss: 0.4251	LR: 0.020000
Training Epoch: 11 [40704/48750]	Loss: 0.3602	LR: 0.020000
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Training Epoch: 11 [41728/48750]	Loss: 0.3063	LR: 0.020000
Training Epoch: 11 [41984/48750]	Loss: 0.3549	LR: 0.020000
Training Epoch: 11 [42240/48750]	Loss: 0.3862	LR: 0.020000
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Training Epoch: 11 [43008/48750]	Loss: 0.2868	LR: 0.020000
Training Epoch: 11 [43264/48750]	Loss: 0.3503	LR: 0.020000
Training Epoch: 11 [43520/48750]	Loss: 0.3102	LR: 0.020000
Training Epoch: 11 [43776/48750]	Loss: 0.3505	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.3546	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3120	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3300	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3791	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.2871	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3696	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.2722	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.4150	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.4161	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3355	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3379	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3000	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3506	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3416	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3263	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.4127	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.2762	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3785	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3263	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3893	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3604, Train Accuracy: 0.8758
Epoch 11 training time consumed: 30.06s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8650, Time consumed:0.99s
Training Epoch: 12 [256/48750]	Loss: 0.4405	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3200	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3604	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3221	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.2821	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.1989	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3374	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3156	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3918	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3441	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3617	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3368	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.4948	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3200	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.2928	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3940	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.2309	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3598	LR: 0.004000
Training Epoch: 12 [4864/48750]	Loss: 0.3813	LR: 0.004000
Training Epoch: 12 [5120/48750]	Loss: 0.2975	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.2828	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.4607	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.3262	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.3438	LR: 0.004000
Training Epoch: 12 [6400/48750]	Loss: 0.3887	LR: 0.004000
Training Epoch: 12 [6656/48750]	Loss: 0.3175	LR: 0.004000
Training Epoch: 12 [6912/48750]	Loss: 0.4035	LR: 0.004000
Training Epoch: 12 [7168/48750]	Loss: 0.2887	LR: 0.004000
Training Epoch: 12 [7424/48750]	Loss: 0.2712	LR: 0.004000
Training Epoch: 12 [7680/48750]	Loss: 0.2955	LR: 0.004000
Training Epoch: 12 [7936/48750]	Loss: 0.3422	LR: 0.004000
Training Epoch: 12 [8192/48750]	Loss: 0.3222	LR: 0.004000
Training Epoch: 12 [8448/48750]	Loss: 0.3592	LR: 0.004000
Training Epoch: 12 [8704/48750]	Loss: 0.3849	LR: 0.004000
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Training Epoch: 12 [9984/48750]	Loss: 0.3566	LR: 0.004000
Training Epoch: 12 [10240/48750]	Loss: 0.2689	LR: 0.004000
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Training Epoch: 12 [10752/48750]	Loss: 0.3236	LR: 0.004000
Training Epoch: 12 [11008/48750]	Loss: 0.3647	LR: 0.004000
Training Epoch: 12 [11264/48750]	Loss: 0.3709	LR: 0.004000
Training Epoch: 12 [11520/48750]	Loss: 0.3606	LR: 0.004000
Training Epoch: 12 [11776/48750]	Loss: 0.3215	LR: 0.004000
Training Epoch: 12 [12032/48750]	Loss: 0.3930	LR: 0.004000
Training Epoch: 12 [12288/48750]	Loss: 0.3329	LR: 0.004000
Training Epoch: 12 [12544/48750]	Loss: 0.2972	LR: 0.004000
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Training Epoch: 12 [13312/48750]	Loss: 0.2887	LR: 0.004000
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Training Epoch: 12 [15104/48750]	Loss: 0.3730	LR: 0.004000
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Training Epoch: 12 [15616/48750]	Loss: 0.3295	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.3167	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.3480	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.3143	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.3191	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.3058	LR: 0.004000
Training Epoch: 12 [17152/48750]	Loss: 0.2145	LR: 0.004000
Training Epoch: 12 [17408/48750]	Loss: 0.3015	LR: 0.004000
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Training Epoch: 12 [17920/48750]	Loss: 0.3675	LR: 0.004000
Training Epoch: 12 [18176/48750]	Loss: 0.3787	LR: 0.004000
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Training Epoch: 12 [19200/48750]	Loss: 0.3112	LR: 0.004000
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Training Epoch: 12 [19712/48750]	Loss: 0.3985	LR: 0.004000
Training Epoch: 12 [19968/48750]	Loss: 0.2518	LR: 0.004000
Training Epoch: 12 [20224/48750]	Loss: 0.3525	LR: 0.004000
Training Epoch: 12 [20480/48750]	Loss: 0.2503	LR: 0.004000
Training Epoch: 12 [20736/48750]	Loss: 0.3344	LR: 0.004000
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Training Epoch: 12 [22016/48750]	Loss: 0.3730	LR: 0.004000
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Training Epoch: 12 [25600/48750]	Loss: 0.3298	LR: 0.004000
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Training Epoch: 12 [26112/48750]	Loss: 0.3086	LR: 0.004000
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Training Epoch: 12 [26880/48750]	Loss: 0.2760	LR: 0.004000
Training Epoch: 12 [27136/48750]	Loss: 0.3276	LR: 0.004000
Training Epoch: 12 [27392/48750]	Loss: 0.2822	LR: 0.004000
Training Epoch: 12 [27648/48750]	Loss: 0.2983	LR: 0.004000
Training Epoch: 12 [27904/48750]	Loss: 0.3307	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.2916	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3531	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.3100	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.2628	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.3914	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.2792	LR: 0.004000
Training Epoch: 12 [29696/48750]	Loss: 0.3022	LR: 0.004000
Training Epoch: 12 [29952/48750]	Loss: 0.3096	LR: 0.004000
Training Epoch: 12 [30208/48750]	Loss: 0.3831	LR: 0.004000
Training Epoch: 12 [30464/48750]	Loss: 0.2895	LR: 0.004000
Training Epoch: 12 [30720/48750]	Loss: 0.3680	LR: 0.004000
Training Epoch: 12 [30976/48750]	Loss: 0.2828	LR: 0.004000
Training Epoch: 12 [31232/48750]	Loss: 0.2685	LR: 0.004000
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Training Epoch: 12 [31744/48750]	Loss: 0.2714	LR: 0.004000
Training Epoch: 12 [32000/48750]	Loss: 0.2409	LR: 0.004000
Training Epoch: 12 [32256/48750]	Loss: 0.2982	LR: 0.004000
Training Epoch: 12 [32512/48750]	Loss: 0.3201	LR: 0.004000
Training Epoch: 12 [32768/48750]	Loss: 0.3146	LR: 0.004000
Training Epoch: 12 [33024/48750]	Loss: 0.3254	LR: 0.004000
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Training Epoch: 12 [33536/48750]	Loss: 0.3286	LR: 0.004000
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Training Epoch: 12 [36096/48750]	Loss: 0.3450	LR: 0.004000
Training Epoch: 12 [36352/48750]	Loss: 0.4490	LR: 0.004000
Training Epoch: 12 [36608/48750]	Loss: 0.2525	LR: 0.004000
Training Epoch: 12 [36864/48750]	Loss: 0.3036	LR: 0.004000
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Training Epoch: 12 [37376/48750]	Loss: 0.3059	LR: 0.004000
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Training Epoch: 12 [37888/48750]	Loss: 0.3044	LR: 0.004000
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Training Epoch: 12 [38400/48750]	Loss: 0.2902	LR: 0.004000
Training Epoch: 12 [38656/48750]	Loss: 0.3040	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.3074	LR: 0.004000
Training Epoch: 12 [40448/48750]	Loss: 0.2871	LR: 0.004000
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Training Epoch: 12 [44800/48750]	Loss: 0.2850	LR: 0.004000
Training Epoch: 12 [45056/48750]	Loss: 0.3011	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3557	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.2204	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.2896	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3373	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.2297	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.2701	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3107	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.2850	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3332	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3294	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.2751	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.2676	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3378	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3603	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2830	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3146, Train Accuracy: 0.8904
Epoch 12 training time consumed: 30.18s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8864, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3237	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3094	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3517	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3717	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2828	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3541	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.3459	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.3055	LR: 0.004000
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Training Epoch: 13 [47872/48750]	Loss: 0.2817	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.2992	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.2719	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.3063	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.2316	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3008, Train Accuracy: 0.8948
Epoch 13 training time consumed: 30.20s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8887, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3327	LR: 0.004000
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Training Epoch: 14 [2048/48750]	Loss: 0.3723	LR: 0.004000
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Training Epoch: 14 [26112/48750]	Loss: 0.3565	LR: 0.004000
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Training Epoch: 14 [31488/48750]	Loss: 0.3525	LR: 0.004000
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Training Epoch: 14 [44288/48750]	Loss: 0.3524	LR: 0.004000
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Training Epoch: 14 [45056/48750]	Loss: 0.2574	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2415	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2297	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2714	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2183	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.1996	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3577	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2629	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.2916	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3372	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2005	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2709	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3044	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2361	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.3620	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3219	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2906, Train Accuracy: 0.8996
Epoch 14 training time consumed: 29.84s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8895, Time consumed:1.00s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.2164	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.4136	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.3076	LR: 0.004000
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Training Epoch: 15 [1280/48750]	Loss: 0.2571	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.2782	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.2912	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.2289	LR: 0.004000
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Training Epoch: 15 [2560/48750]	Loss: 0.3433	LR: 0.004000
Training Epoch: 15 [2816/48750]	Loss: 0.3289	LR: 0.004000
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Training Epoch: 15 [46592/48750]	Loss: 0.3433	LR: 0.004000
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Training Epoch: 15 [47104/48750]	Loss: 0.2787	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2379	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.2680	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3470	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.1923	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.3236	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.2606	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.4421	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2827, Train Accuracy: 0.9003
Epoch 15 training time consumed: 30.01s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8900, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2460	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.3272	LR: 0.000800
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Training Epoch: 16 [22016/48750]	Loss: 0.2948	LR: 0.000800
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Training Epoch: 16 [45568/48750]	Loss: 0.2888	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.3258	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.4067	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2905	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2231	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2754	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2271	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3003	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2365	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2771, Train Accuracy: 0.9035
Epoch 16 training time consumed: 29.96s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8931, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.1701	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2902	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2270	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2132	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.3549	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.1959	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2174	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2946	LR: 0.000800
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Training Epoch: 17 [6656/48750]	Loss: 0.1927	LR: 0.000800
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Training Epoch: 17 [7936/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.2520	LR: 0.000800
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Training Epoch: 17 [9472/48750]	Loss: 0.2476	LR: 0.000800
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Training Epoch: 17 [9984/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.3161	LR: 0.000800
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Training Epoch: 17 [11008/48750]	Loss: 0.2177	LR: 0.000800
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Training Epoch: 17 [11520/48750]	Loss: 0.2856	LR: 0.000800
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Training Epoch: 17 [12288/48750]	Loss: 0.2614	LR: 0.000800
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Training Epoch: 17 [20224/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.2396	LR: 0.000800
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Training Epoch: 17 [22016/48750]	Loss: 0.2339	LR: 0.000800
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Training Epoch: 17 [22528/48750]	Loss: 0.2918	LR: 0.000800
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Training Epoch: 17 [23040/48750]	Loss: 0.2365	LR: 0.000800
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Training Epoch: 17 [24320/48750]	Loss: 0.2634	LR: 0.000800
Training Epoch: 17 [24576/48750]	Loss: 0.3471	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.1868	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.2292	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.3620	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.2370	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.2176	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.3034	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.1698	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.2423	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.3636	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.2977	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.1837	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2318	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.3108	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.3470	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.2079	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.2362	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.2556	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.2203	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.3133	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.2139	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.3281	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.1865	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2486	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.3378	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.3608	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.3267	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.2324	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.3273	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.1874	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2323	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.3097	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2256	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2288	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2522	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2451	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.3315	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.3153	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.1752	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2682, Train Accuracy: 0.9065
Epoch 17 training time consumed: 29.98s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8913, Time consumed:0.97s
Training Epoch: 18 [256/48750]	Loss: 0.2271	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.3753	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.1996	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.3093	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2302	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.2222	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.1736	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.3368	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2300	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.2409	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.2763	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.3233	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.3586	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2754	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.1953	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.1964	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.1739	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.3203	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2314	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.2408	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.3821	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.3407	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.2108	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.3686	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.2408	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.3058	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.3237	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.3486	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.1883	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.3360	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.1862	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.3392	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.2420	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.3062	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2321	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.3265	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.2333	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.2507	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.2160	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.1941	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.1869	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2677	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.1946	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.3067	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.3556	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.3294	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2245	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.3285	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.3243	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2115	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2305	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.1903	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.3225	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.3731	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.2888	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.2122	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.2619	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.2592	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.3726	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2439	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.1966	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.3328	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2564	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 18 [39168/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.1829	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2061	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.3549	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.3537	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.2397	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.2249	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.1966	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.2224	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.1742	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.1575	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2389	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.3599	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.3567	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.3328	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2087	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2382	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2113	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2164	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.1780	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2172	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2623	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2266	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2678, Train Accuracy: 0.9060
Epoch 18 training time consumed: 29.78s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8926, Time consumed:0.97s
Training Epoch: 19 [256/48750]	Loss: 0.2395	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2357	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.3136	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2379	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2109	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.3415	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2867	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2512	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2531	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.3452	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2226	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.1945	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2049	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2217	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2266	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3303	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.1853	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2383	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2502	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.3158	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2045	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2222	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.1882	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2210	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2235	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.3838	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2828	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.3369	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.3319	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2163	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.3213	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2143	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3420	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2152	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2523	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2862	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.1965	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.1904	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2135	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2319	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.1762	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2486	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3471	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2328	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.1959	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2619	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2775	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.3294	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3330	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2189	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.3253	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2145	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2115	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.3179	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.3399	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.1946	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.1923	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2022	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2305	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2486	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2284	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.3257	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2351	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.1953	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.1956	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.3001	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2512	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.3359	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2828	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.3104	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2305	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2266	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2258	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.3363	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.3035	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.3047	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.3306	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2670, Train Accuracy: 0.9070
Epoch 19 training time consumed: 29.95s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8930, Time consumed:0.96s
Training Epoch: 20 [256/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2039	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.3058	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2362	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2294	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.3357	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.1839	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2041	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.3072	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2759	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2590	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.3674	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.3462	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.1954	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.1818	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.1893	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.4190	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2398	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.3066	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2166	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2342	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2201	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.3175	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2346	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2029	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.3346	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.3321	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2179	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2522	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2546	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.1799	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.3416	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2241	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2351	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2198	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2677	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.2527	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.1829	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.3042	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.3264	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.1771	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.3430	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2785	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2033	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2931	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2346	LR: 0.000800
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Training Epoch: 20 [27392/48750]	Loss: 0.2148	LR: 0.000800
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Training Epoch: 20 [27904/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.2717	LR: 0.000800
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Training Epoch: 20 [30720/48750]	Loss: 0.2120	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.3528	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.3180	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.2675	LR: 0.000800
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Training Epoch: 20 [32256/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2687	LR: 0.000800
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Training Epoch: 20 [33024/48750]	Loss: 0.2841	LR: 0.000800
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Training Epoch: 20 [34304/48750]	Loss: 0.2436	LR: 0.000800
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Training Epoch: 20 [35840/48750]	Loss: 0.2150	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2708	LR: 0.000800
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Training Epoch: 20 [38912/48750]	Loss: 0.1816	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.1871	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.1764	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2016	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.3062	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.3269	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2152	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2249	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.1668	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2070	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2225	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2187	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.1896	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2567	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2366	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2696	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.3817	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3639	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2641, Train Accuracy: 0.9090
Epoch 20 training time consumed: 29.81s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8952, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_17h_59m_40s/ResNet18-Cifar10-seed1-ret75-20-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
MIA Attack Accuracy with XGBoost: 0.7340
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
MIA Attack Accuracy with XGBoost: 0.5000
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6665
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5102
Test Accuracy: 91.552734375
Retain Accuracy: 93.99278259277344
Zero-Retain Forget (ZRF): 0.8264678716659546
Membership Inference Attack (MIA): 0.6928
Forget vs Retain Membership Inference Attack (MIA): 0.734
Forget vs Test Membership Inference Attack (MIA): 0.5
Test vs Retain Membership Inference Attack (MIA): 0.6665
Train vs Test Membership Inference Attack (MIA): 0.51025
Forget Set Accuracy (Df): 92.94316864013672
Method Execution Time: 2519.44 seconds
