hello
hello

📌 Retain class distribution for seed 8:
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 8:
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
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.4341	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4062	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.4314	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3866	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3375	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2619	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2631	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2410	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2405	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2773	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2150	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1858	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1312	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.0320	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0116	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0944	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0266	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.1414	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9027	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.0086	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9476	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.8944	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8292	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.8351	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9864	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8766	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9667	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.7992	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8828	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9706	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9197	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.7752	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8728	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8632	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8930	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.7375	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.9524	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.7584	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.6688	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7821	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7864	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.8059	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8123	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8474	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.8338	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7427	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7251	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.6920	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6517	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.6903	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.8401	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7607	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7227	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6842	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7590	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.6763	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.8228	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7144	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7164	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6121	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.5883	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7191	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 2.0080	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7170	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.7216	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6899	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6794	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6622	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.7295	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6797	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6772	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7046	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.7918	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7542	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.7558	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6732	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.7321	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6299	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.5384	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.8978	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6986	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5771	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.7614	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7896	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6018	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.8136	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.7394	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.8100	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.6497	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6747	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5261	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.8549	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.7359	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.7555	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5920	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.6934	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.8328	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.6483	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6915	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.7278	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.6652	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.7078	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.6489	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.6293	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.7499	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.6191	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.7168	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.6455	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.6565	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.8157	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.8253	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.5468	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.6425	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5622	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.7553	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.4847	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.4802	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.7605	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.4428	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.7523	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.5829	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.5512	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.6775	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.7425	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.5142	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.7035	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.4793	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.6489	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5649	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.5045	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.7170	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4675	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5520	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.4861	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.6066	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.6454	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.5168	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.5316	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5580	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.6041	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.5023	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.6637	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.5787	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.6171	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.4838	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.6620	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.6030	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.5259	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.7256	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.6082	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4949	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.6078	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.5568	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.4347	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.6215	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.5632	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.5350	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4196	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.4803	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4252	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.6817	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.3859	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4823	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.5393	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.3453	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.6386	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3101	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4534	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.5528	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.5831	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4550	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.5639	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.5028	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.4250	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.4789	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3314	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.5841	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.4665	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4871	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.4680	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.4561	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3815	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.4310	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3074	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4282	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3599	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.6143	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.4436	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.3323	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.3192	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.2267	LR: 0.099476
Epoch 1 - Average Train Loss: 1.7060, Train Accuracy: 0.3761
Epoch 1 training time consumed: 29.95s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0076, Accuracy: 0.4260, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.3602	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.4016	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.3663	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.4197	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4274	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.3414	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.2628	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4866	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.4044	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.3743	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.4256	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.4058	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.2957	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.1924	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.3033	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.4974	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.4548	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.3295	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.2888	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3423	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.4833	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.4162	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.3225	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.3419	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3166	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.3161	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2814	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.2672	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3688	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.2976	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.1878	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3943	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.2907	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.3689	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.3649	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.3780	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.3558	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.4237	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.3034	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.3665	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.3069	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.3698	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.3342	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2681	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.1837	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.4093	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2473	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.4160	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.4534	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.3105	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.3236	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2027	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2592	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.1974	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.2778	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.1927	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.1739	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.3769	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.3026	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.1156	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.2080	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.3102	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2041	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.3763	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.1776	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.3611	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.2043	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2528	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2399	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2463	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.2846	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.2260	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2399	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.2931	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.2477	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.3204	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.4452	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.2150	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.1841	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.4536	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.3452	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.3514	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.2814	LR: 0.100000
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Training Epoch: 2 [46592/48750]	Loss: 0.9601	LR: 0.100000
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Training Epoch: 2 [47616/48750]	Loss: 1.2219	LR: 0.100000
Training Epoch: 2 [47872/48750]	Loss: 1.0439	LR: 0.100000
Training Epoch: 2 [48128/48750]	Loss: 1.0215	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 1.0605	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 0.9375	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1966, Train Accuracy: 0.5719
Epoch 2 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0057, Accuracy: 0.5200, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.0415	LR: 0.100000
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Training Epoch: 3 [47872/48750]	Loss: 0.8898	LR: 0.100000
Training Epoch: 3 [48128/48750]	Loss: 0.8419	LR: 0.100000
Training Epoch: 3 [48384/48750]	Loss: 0.8126	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.8063	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.9786	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9511, Train Accuracy: 0.6617
Epoch 3 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0039, Accuracy: 0.6745, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.8604	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.8389	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8055, Train Accuracy: 0.7191
Epoch 4 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0032, Accuracy: 0.7267, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7262	LR: 0.100000
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Training Epoch: 5 [24832/48750]	Loss: 0.8327	LR: 0.100000
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Training Epoch: 5 [44288/48750]	Loss: 0.5399	LR: 0.100000
Training Epoch: 5 [44544/48750]	Loss: 0.7360	LR: 0.100000
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Training Epoch: 5 [46336/48750]	Loss: 0.6345	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.6536	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.7293	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.6957	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.6300	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.6475	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.6842	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.6668	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.5705	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.6360	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.5547	LR: 0.100000
Epoch 5 - Average Train Loss: 0.6956, Train Accuracy: 0.7571
Epoch 5 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0034, Accuracy: 0.7164, Time consumed:0.90s
Training Epoch: 6 [256/48750]	Loss: 0.7909	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.6197	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.6494	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.6719	LR: 0.100000
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Training Epoch: 6 [1536/48750]	Loss: 0.6766	LR: 0.100000
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Training Epoch: 6 [2048/48750]	Loss: 0.6005	LR: 0.100000
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Training Epoch: 6 [45056/48750]	Loss: 0.6140	LR: 0.100000
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Training Epoch: 6 [46336/48750]	Loss: 0.6387	LR: 0.100000
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Training Epoch: 6 [47104/48750]	Loss: 0.6611	LR: 0.100000
Training Epoch: 6 [47360/48750]	Loss: 0.5492	LR: 0.100000
Training Epoch: 6 [47616/48750]	Loss: 0.5799	LR: 0.100000
Training Epoch: 6 [47872/48750]	Loss: 0.5951	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.5737	LR: 0.100000
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Training Epoch: 6 [48640/48750]	Loss: 0.5458	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.7853	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6421, Train Accuracy: 0.7784
Epoch 6 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7773, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.6771	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.4744	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.6067	LR: 0.100000
Training Epoch: 7 [1024/48750]	Loss: 0.5361	LR: 0.100000
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Training Epoch: 7 [2048/48750]	Loss: 0.6157	LR: 0.100000
Training Epoch: 7 [2304/48750]	Loss: 0.5887	LR: 0.100000
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Training Epoch: 7 [48750/48750]	Loss: 0.6566	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5915, Train Accuracy: 0.7930
Epoch 7 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0024, Accuracy: 0.7880, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.5838	LR: 0.020000
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Training Epoch: 8 [28160/48750]	Loss: 0.4057	LR: 0.020000
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Training Epoch: 8 [45312/48750]	Loss: 0.3525	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4684	LR: 0.020000
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Training Epoch: 8 [46080/48750]	Loss: 0.4696	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4393	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.3878	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.3155	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4467	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4139	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.2675	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.3831	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4566	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.3187	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4419	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.5330	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4383, Train Accuracy: 0.8487
Epoch 8 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8587, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4181	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4352	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4981	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4246	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4322	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.3751	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3908	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4809	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4564	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.4324	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.3683	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.3237	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.4087	LR: 0.020000
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Training Epoch: 9 [3840/48750]	Loss: 0.3542	LR: 0.020000
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Training Epoch: 9 [45312/48750]	Loss: 0.3393	LR: 0.020000
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Training Epoch: 9 [45824/48750]	Loss: 0.3235	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.4165	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.4670	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3490	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.2921	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3631	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.3329	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4003	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4197	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4306	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3786	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.4675	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3973	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3940, Train Accuracy: 0.8626
Epoch 9 training time consumed: 29.37s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8643, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3382	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3630	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.3646	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.2984	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3688	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3206	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.2993	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3217	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.2836	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4460	LR: 0.020000
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Training Epoch: 10 [48128/48750]	Loss: 0.4538	LR: 0.020000
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Training Epoch: 10 [48640/48750]	Loss: 0.3442	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.5314	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3748, Train Accuracy: 0.8694
Epoch 10 training time consumed: 29.24s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8697, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.3924	LR: 0.020000
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Training Epoch: 11 [768/48750]	Loss: 0.4135	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.4145	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3644	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.4401	LR: 0.020000
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Training Epoch: 11 [10496/48750]	Loss: 0.3627	LR: 0.020000
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Training Epoch: 11 [24576/48750]	Loss: 0.3481	LR: 0.020000
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Training Epoch: 11 [26624/48750]	Loss: 0.3498	LR: 0.020000
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Training Epoch: 11 [27136/48750]	Loss: 0.3070	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3421	LR: 0.020000
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Training Epoch: 11 [28160/48750]	Loss: 0.3481	LR: 0.020000
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Training Epoch: 11 [28928/48750]	Loss: 0.3634	LR: 0.020000
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Training Epoch: 11 [29440/48750]	Loss: 0.2959	LR: 0.020000
Training Epoch: 11 [29696/48750]	Loss: 0.3777	LR: 0.020000
Training Epoch: 11 [29952/48750]	Loss: 0.3313	LR: 0.020000
Training Epoch: 11 [30208/48750]	Loss: 0.3749	LR: 0.020000
Training Epoch: 11 [30464/48750]	Loss: 0.3021	LR: 0.020000
Training Epoch: 11 [30720/48750]	Loss: 0.3658	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.3952	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3016	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.3642	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.2961	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.3939	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.4364	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.4342	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3338	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.4691	LR: 0.020000
Training Epoch: 11 [33280/48750]	Loss: 0.3775	LR: 0.020000
Training Epoch: 11 [33536/48750]	Loss: 0.3912	LR: 0.020000
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Training Epoch: 11 [34816/48750]	Loss: 0.3735	LR: 0.020000
Training Epoch: 11 [35072/48750]	Loss: 0.3121	LR: 0.020000
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Training Epoch: 11 [40448/48750]	Loss: 0.3721	LR: 0.020000
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Training Epoch: 11 [41472/48750]	Loss: 0.3392	LR: 0.020000
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Training Epoch: 11 [43008/48750]	Loss: 0.3622	LR: 0.020000
Training Epoch: 11 [43264/48750]	Loss: 0.2851	LR: 0.020000
Training Epoch: 11 [43520/48750]	Loss: 0.3982	LR: 0.020000
Training Epoch: 11 [43776/48750]	Loss: 0.2997	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.3028	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3735	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3790	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3153	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.2855	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3276	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3874	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.4327	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3253	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3831	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.2910	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3244	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.2712	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3057	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3662	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3134	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3823	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.4305	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4433	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.4080	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3567, Train Accuracy: 0.8769
Epoch 11 training time consumed: 29.12s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8690, Time consumed:0.93s
Training Epoch: 12 [256/48750]	Loss: 0.3798	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.2620	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3008	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3636	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.2878	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.4167	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3357	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.2862	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.2766	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3153	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3445	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3482	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3078	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.2954	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.2520	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3916	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.3828	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3200	LR: 0.004000
Training Epoch: 12 [4864/48750]	Loss: 0.3186	LR: 0.004000
Training Epoch: 12 [5120/48750]	Loss: 0.3867	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.2311	LR: 0.004000
Training Epoch: 12 [5632/48750]	Loss: 0.2924	LR: 0.004000
Training Epoch: 12 [5888/48750]	Loss: 0.3628	LR: 0.004000
Training Epoch: 12 [6144/48750]	Loss: 0.4132	LR: 0.004000
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Training Epoch: 12 [6656/48750]	Loss: 0.3139	LR: 0.004000
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Training Epoch: 12 [7168/48750]	Loss: 0.3082	LR: 0.004000
Training Epoch: 12 [7424/48750]	Loss: 0.3526	LR: 0.004000
Training Epoch: 12 [7680/48750]	Loss: 0.2932	LR: 0.004000
Training Epoch: 12 [7936/48750]	Loss: 0.3342	LR: 0.004000
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Training Epoch: 12 [8448/48750]	Loss: 0.3812	LR: 0.004000
Training Epoch: 12 [8704/48750]	Loss: 0.3428	LR: 0.004000
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Training Epoch: 12 [11008/48750]	Loss: 0.2989	LR: 0.004000
Training Epoch: 12 [11264/48750]	Loss: 0.3672	LR: 0.004000
Training Epoch: 12 [11520/48750]	Loss: 0.4418	LR: 0.004000
Training Epoch: 12 [11776/48750]	Loss: 0.3337	LR: 0.004000
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Training Epoch: 12 [15104/48750]	Loss: 0.2548	LR: 0.004000
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Training Epoch: 12 [15616/48750]	Loss: 0.2869	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.3512	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.2195	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.3262	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.2818	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.3256	LR: 0.004000
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Training Epoch: 12 [22016/48750]	Loss: 0.3469	LR: 0.004000
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Training Epoch: 12 [26112/48750]	Loss: 0.3666	LR: 0.004000
Training Epoch: 12 [26368/48750]	Loss: 0.3163	LR: 0.004000
Training Epoch: 12 [26624/48750]	Loss: 0.2238	LR: 0.004000
Training Epoch: 12 [26880/48750]	Loss: 0.2211	LR: 0.004000
Training Epoch: 12 [27136/48750]	Loss: 0.2969	LR: 0.004000
Training Epoch: 12 [27392/48750]	Loss: 0.3317	LR: 0.004000
Training Epoch: 12 [27648/48750]	Loss: 0.3031	LR: 0.004000
Training Epoch: 12 [27904/48750]	Loss: 0.3488	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.2933	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3349	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.2918	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.4141	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.3436	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.2031	LR: 0.004000
Training Epoch: 12 [29696/48750]	Loss: 0.2836	LR: 0.004000
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Training Epoch: 12 [30720/48750]	Loss: 0.3158	LR: 0.004000
Training Epoch: 12 [30976/48750]	Loss: 0.3356	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.3381	LR: 0.004000
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Training Epoch: 12 [45568/48750]	Loss: 0.2800	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.2977	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3274	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3633	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.2548	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.2885	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.2838	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3515	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3053	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3842	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3280	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2922	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2717	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2959	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3121, Train Accuracy: 0.8915
Epoch 12 training time consumed: 29.06s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8865, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.2901	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3006	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.2895	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.2396	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2580	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3250	LR: 0.004000
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Training Epoch: 13 [47872/48750]	Loss: 0.2929	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.2984	LR: 0.004000
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Training Epoch: 13 [48640/48750]	Loss: 0.2565	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.2156	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2985, Train Accuracy: 0.8968
Epoch 13 training time consumed: 29.11s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8917, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2730	LR: 0.004000
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Training Epoch: 14 [2048/48750]	Loss: 0.3152	LR: 0.004000
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Training Epoch: 14 [25600/48750]	Loss: 0.3022	LR: 0.004000
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Training Epoch: 14 [32256/48750]	Loss: 0.3329	LR: 0.004000
Training Epoch: 14 [32512/48750]	Loss: 0.2459	LR: 0.004000
Training Epoch: 14 [32768/48750]	Loss: 0.2627	LR: 0.004000
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Training Epoch: 14 [43776/48750]	Loss: 0.2400	LR: 0.004000
Training Epoch: 14 [44032/48750]	Loss: 0.2819	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.3441	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.2750	LR: 0.004000
Training Epoch: 14 [44800/48750]	Loss: 0.3372	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.2984	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2626	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.3326	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2473	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2965	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3462	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.2912	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3430	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3415	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3911	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2226	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3404	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2174	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2627	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2838	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3367	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2889, Train Accuracy: 0.8983
Epoch 14 training time consumed: 29.04s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8918, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.2887	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2843	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2794	LR: 0.004000
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Training Epoch: 15 [1280/48750]	Loss: 0.2123	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.2905	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.3520	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.2682	LR: 0.004000
Training Epoch: 15 [2304/48750]	Loss: 0.2911	LR: 0.004000
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Training Epoch: 15 [2816/48750]	Loss: 0.3125	LR: 0.004000
Training Epoch: 15 [3072/48750]	Loss: 0.3509	LR: 0.004000
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Training Epoch: 15 [11264/48750]	Loss: 0.3541	LR: 0.004000
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Training Epoch: 15 [12288/48750]	Loss: 0.3538	LR: 0.004000
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Training Epoch: 15 [25856/48750]	Loss: 0.2349	LR: 0.004000
Training Epoch: 15 [26112/48750]	Loss: 0.3514	LR: 0.004000
Training Epoch: 15 [26368/48750]	Loss: 0.2575	LR: 0.004000
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Training Epoch: 15 [28160/48750]	Loss: 0.2690	LR: 0.004000
Training Epoch: 15 [28416/48750]	Loss: 0.3033	LR: 0.004000
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Training Epoch: 15 [32768/48750]	Loss: 0.2689	LR: 0.004000
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Training Epoch: 15 [37120/48750]	Loss: 0.2641	LR: 0.004000
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Training Epoch: 15 [43008/48750]	Loss: 0.2546	LR: 0.004000
Training Epoch: 15 [43264/48750]	Loss: 0.2930	LR: 0.004000
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Training Epoch: 15 [43776/48750]	Loss: 0.2773	LR: 0.004000
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Training Epoch: 15 [44800/48750]	Loss: 0.2495	LR: 0.004000
Training Epoch: 15 [45056/48750]	Loss: 0.3018	LR: 0.004000
Training Epoch: 15 [45312/48750]	Loss: 0.2969	LR: 0.004000
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Training Epoch: 15 [45824/48750]	Loss: 0.2570	LR: 0.004000
Training Epoch: 15 [46080/48750]	Loss: 0.3315	LR: 0.004000
Training Epoch: 15 [46336/48750]	Loss: 0.2933	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.3432	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.2705	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.3134	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2879	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.4254	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.2619	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.4350	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2655	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.2866	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.2878	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2818, Train Accuracy: 0.9015
Epoch 15 training time consumed: 29.39s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8901, Time consumed:0.90s
Training Epoch: 16 [256/48750]	Loss: 0.3781	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2120	LR: 0.000800
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Training Epoch: 16 [46336/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2119	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2115	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.1970	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2299	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2974	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2199	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2269	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2710, Train Accuracy: 0.9064
Epoch 16 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8932, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2906	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.3100	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2517	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.3264	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2091	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2031	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.1960	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2275	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2625	LR: 0.000800
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Training Epoch: 17 [3328/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.2159	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2334	LR: 0.000800
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Training Epoch: 17 [4352/48750]	Loss: 0.2694	LR: 0.000800
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Training Epoch: 17 [5888/48750]	Loss: 0.2931	LR: 0.000800
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Training Epoch: 17 [10496/48750]	Loss: 0.2748	LR: 0.000800
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Training Epoch: 17 [11008/48750]	Loss: 0.2961	LR: 0.000800
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Training Epoch: 17 [24576/48750]	Loss: 0.2098	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.3126	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.1844	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.3186	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.2757	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.1943	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.2406	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.4477	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.3741	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2247	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2401	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.1919	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.3427	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.3050	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.2254	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.2177	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.3555	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.3632	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2074	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2351	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.2731	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.3150	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.2242	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.3636	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.2994	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.2004	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2211	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.3178	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.3353	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.3245	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.3097	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.1764	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2416	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2151	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.3189	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2359	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2391	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2911	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2343	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2402	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2690, Train Accuracy: 0.9072
Epoch 17 training time consumed: 29.12s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8932, Time consumed:0.91s
Training Epoch: 18 [256/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2669	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2592	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.3472	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.2994	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.2362	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2078	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.3005	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.3545	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.1621	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.2272	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.2408	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.2160	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2139	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.3011	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.2175	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2154	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.2316	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.2475	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.2451	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.3302	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.1906	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.2285	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.3739	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2316	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.3378	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.3617	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.2331	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.2302	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.2033	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.3431	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.3106	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.2058	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.2716	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.2487	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.2424	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.2238	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.2485	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.1614	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.3225	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.2124	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2943	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.3985	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2057	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.3331	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.3130	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2195	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2254	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.3396	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.3018	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.3278	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2420	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.2953	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.3018	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.3417	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.3327	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.3332	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.3122	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.2136	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2597	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.1973	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2003	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2482	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.3338	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.1970	LR: 0.000800
Training Epoch: 18 [39168/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.2309	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2259	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.1956	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.1954	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.2953	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2276	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.3436	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.3192	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.2177	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2451	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2239	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2313	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2409	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.1968	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.1875	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2242	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2166	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2645, Train Accuracy: 0.9075
Epoch 18 training time consumed: 29.43s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8950, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_17h_25m_56s/ResNet18-Cifar10-seed8-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2133	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2202	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.3251	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.3324	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.3653	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2008	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.3145	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2982	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.3688	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2331	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2258	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.3361	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2132	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.1639	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2884	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2741	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2169	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2931	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.1814	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.1908	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2285	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.3251	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.3140	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.3056	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2226	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2242	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2422	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.3503	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.1645	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.3282	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3145	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2991	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2033	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2386	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2113	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.3198	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.3167	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2184	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.1894	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2883	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.1905	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2076	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2969	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2176	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.1856	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2121	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2717	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2239	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2355	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2169	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2458	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2176	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3601	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.3487	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2389	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2232	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.1881	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2476	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2162	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2488	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2880	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2372	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3564	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.1893	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2074	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.3109	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.1948	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2057	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2225	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.1695	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.3693	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2462	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2325	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.3413	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2787	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.3156	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2283	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.3440	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2132	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2342	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2146	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.3096	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2250	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2862	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.3298	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.2456	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2641, Train Accuracy: 0.9081
Epoch 19 training time consumed: 29.01s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8943, Time consumed:0.91s
Training Epoch: 20 [256/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.1558	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2177	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2145	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2017	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2378	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.1996	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.3320	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2062	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2523	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.3475	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.3006	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.3471	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2210	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.3186	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2740	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2387	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.3468	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2168	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2339	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2171	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2794	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2206	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.3669	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.3062	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2502	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.1989	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.1965	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2110	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.3750	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2015	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.3253	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.1816	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.3625	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.1878	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.3310	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.1994	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2931	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2019	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2475	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2128	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.3065	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2211	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2804	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.1868	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.3014	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2052	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.3320	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2531	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.3153	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.3368	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2243	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2828	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2218	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.3175	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2066	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.1863	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.2884	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2320	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.3192	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.2342	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.2045	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.2231	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.3065	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.2124	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.1822	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.3297	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2517	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2383	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.3688	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.1990	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3264	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.2254	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2567	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2475	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.1907	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2068	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.3581	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2547	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.3179	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2346	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2153	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2528	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2618, Train Accuracy: 0.9087
Epoch 20 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8934, Time consumed:0.90s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.58984375
Retain Accuracy: 91.19374084472656
Zero-Retain Forget (ZRF): 0.8322736024856567
Membership Inference Attack (MIA): 0.6224
Forget vs Retain Membership Inference Attack (MIA): 0.512
Forget vs Test Membership Inference Attack (MIA): 0.532
Test vs Retain Membership Inference Attack (MIA): 0.5025
Train vs Test Membership Inference Attack (MIA): 0.5175
Forget Set Accuracy (Df): 87.417724609375
Method Execution Time: 1523.68 seconds
