
Retain class distribution for seed 6:
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 6:
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: 2.3663	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3583	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3345	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3653	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2827	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2245	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2211	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2712	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2112	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.1820	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2102	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2202	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1163	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.0764	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1497	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0145	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0619	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0055	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9682	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9197	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9437	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0315	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8362	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.7992	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 2.1098	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 2.0927	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.8972	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 2.0123	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8705	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9793	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8417	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8872	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8534	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8995	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8361	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8823	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8453	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.7830	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8024	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7994	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.8772	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.6981	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8529	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7816	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.8153	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7097	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.9124	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7626	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.8228	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7986	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.8641	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7045	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.6785	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6766	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7174	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7781	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7237	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6669	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6336	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6916	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7631	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7369	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.6474	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7240	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.7596	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7139	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.7857	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6466	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.8321	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6439	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.8913	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.6319	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 2.0784	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.8376	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.8823	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 2.0124	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.7380	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.8375	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.7144	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.8587	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6588	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.6738	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.7844	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.6863	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6572	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.7821	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.8375	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.8104	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.6828	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.8283	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6195	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.7093	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.5494	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.6637	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.6553	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.6220	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.6331	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.7907	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6822	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.4687	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.7224	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6103	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.6188	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.5859	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4541	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.5190	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.5596	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5729	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.4750	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.4143	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5357	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.5850	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.6553	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.4358	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.6278	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.4620	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.6992	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.4772	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.5058	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.6071	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4271	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.8152	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.4455	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.6226	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.4044	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.4077	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.6782	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.4734	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.8370	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.6130	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.3778	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4372	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5626	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.5820	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.5333	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.6961	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.6429	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.5875	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5413	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.5843	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.5854	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.4197	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.5806	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.4264	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.5482	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.4414	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4715	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.4428	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.5717	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.5141	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4770	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.4684	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.4869	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.4849	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.3699	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.6772	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.6283	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.5161	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.5856	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.6195	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.5910	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.6396	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.3760	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.3828	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4856	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.4658	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3582	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.5342	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.3235	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3897	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4277	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.3086	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3576	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.4077	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.5381	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3615	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.3342	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.5268	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.5623	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.7124	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.4111	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.5872	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.4785	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.5415	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4603	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.5248	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.4959	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.4558	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.5500	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.4530	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.5041	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6996, Train Accuracy: 0.3791
Epoch 1 training time consumed: 29.78s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0077, Accuracy: 0.4296, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.5608	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.6091	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.6397	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.3514	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.5984	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.4560	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.3392	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4633	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.2590	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.5045	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.3422	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.2965	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.4280	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.2944	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.2556	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3256	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.4171	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.3713	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3337	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3249	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3922	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.3959	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.3228	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.3687	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.4662	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.3523	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2671	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3641	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2242	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.3823	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.3157	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.4112	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.2976	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.3257	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.3454	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.2962	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.2096	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.1980	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.4483	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.3014	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.3508	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2895	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.2760	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2399	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.2574	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2490	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.3629	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.2362	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.2215	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.3705	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.3159	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.3289	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2035	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.3728	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.3118	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2317	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2503	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.3367	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.3025	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.3093	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.2365	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.1976	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2855	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2050	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2679	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2166	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.0998	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.1850	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2960	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2625	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.1757	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1416	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.1671	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.2815	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.3215	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2268	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.2042	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.2337	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.3160	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.0933	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.1606	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1026	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.2095	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 1.2067	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 1.0326	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.1722	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2016, Train Accuracy: 0.5710
Epoch 2 training time consumed: 29.57s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0046, Accuracy: 0.6107, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.1504	LR: 0.100000
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Training Epoch: 3 [48128/48750]	Loss: 0.8019	LR: 0.100000
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Training Epoch: 3 [48640/48750]	Loss: 0.8644	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.8329	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9506, Train Accuracy: 0.6630
Epoch 3 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0036, Accuracy: 0.6924, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.8272	LR: 0.100000
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Training Epoch: 4 [47616/48750]	Loss: 0.8328	LR: 0.100000
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Training Epoch: 4 [48640/48750]	Loss: 0.7796	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 0.7990	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8149, Train Accuracy: 0.7143
Epoch 4 training time consumed: 30.05s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0038, Accuracy: 0.6813, Time consumed:1.00s
Training Epoch: 5 [256/48750]	Loss: 0.7816	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.6102	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7094, Train Accuracy: 0.7514
Epoch 5 training time consumed: 29.66s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0028, Accuracy: 0.7629, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.6913	LR: 0.100000
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Training Epoch: 6 [46336/48750]	Loss: 0.7411	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.5858	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6419, Train Accuracy: 0.7745
Epoch 6 training time consumed: 29.57s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0032, Accuracy: 0.7344, Time consumed:1.06s
Training Epoch: 7 [256/48750]	Loss: 0.4733	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.6128	LR: 0.100000
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Training Epoch: 7 [1024/48750]	Loss: 0.6234	LR: 0.100000
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Training Epoch: 7 [3072/48750]	Loss: 0.4627	LR: 0.100000
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Training Epoch: 7 [48640/48750]	Loss: 0.5958	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.5457	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5965, Train Accuracy: 0.7912
Epoch 7 training time consumed: 29.53s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.7843, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.5669	LR: 0.020000
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Training Epoch: 8 [28928/48750]	Loss: 0.4206	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.4428	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4573	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.3931	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.3612	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.3793	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4802	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4074	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4774	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4853	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.3915	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.3311	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4573	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.3970	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.3564	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4139	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.4885	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4498, Train Accuracy: 0.8446
Epoch 8 training time consumed: 29.64s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8536, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4465	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4434	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.3622	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3975	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.5352	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.3802	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3936	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.3802	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4395	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3563	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.3985	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.3326	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.3569	LR: 0.020000
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Training Epoch: 9 [3840/48750]	Loss: 0.3620	LR: 0.020000
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Training Epoch: 9 [4352/48750]	Loss: 0.4371	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.3815	LR: 0.020000
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Training Epoch: 9 [45568/48750]	Loss: 0.3087	LR: 0.020000
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Training Epoch: 9 [46080/48750]	Loss: 0.3304	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.4084	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3857	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.3821	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4219	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4064	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.3755	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.3202	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4424	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4159	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3950	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.5217	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3972, Train Accuracy: 0.8610
Epoch 9 training time consumed: 29.50s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8617, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3718	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3216	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.3920	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3517	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.4164	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.4552	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4257	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3981	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3888	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.3646	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.3689	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3306	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.4002	LR: 0.020000
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Training Epoch: 10 [47872/48750]	Loss: 0.3870	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.2995	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.3068	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.4857	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.3585	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3806, Train Accuracy: 0.8675
Epoch 10 training time consumed: 29.87s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8619, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.4402	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3326	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3948	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.3779	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.3718	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3028	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.3367	LR: 0.020000
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Training Epoch: 11 [3584/48750]	Loss: 0.3226	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3664	LR: 0.020000
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Training Epoch: 11 [4352/48750]	Loss: 0.3646	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.4037	LR: 0.020000
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Training Epoch: 11 [5376/48750]	Loss: 0.3404	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.2745	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.3681	LR: 0.020000
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Training Epoch: 11 [7168/48750]	Loss: 0.4496	LR: 0.020000
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Training Epoch: 11 [9984/48750]	Loss: 0.3316	LR: 0.020000
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Training Epoch: 11 [10496/48750]	Loss: 0.3547	LR: 0.020000
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Training Epoch: 11 [11008/48750]	Loss: 0.3574	LR: 0.020000
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Training Epoch: 11 [16896/48750]	Loss: 0.3344	LR: 0.020000
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Training Epoch: 11 [24576/48750]	Loss: 0.3140	LR: 0.020000
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Training Epoch: 11 [27392/48750]	Loss: 0.4393	LR: 0.020000
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Training Epoch: 11 [30976/48750]	Loss: 0.4107	LR: 0.020000
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Training Epoch: 11 [32256/48750]	Loss: 0.3130	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3106	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.3774	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.3331	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3568	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.2760	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3572	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3070	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3030	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.2803	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3438	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.4087	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3841	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.4371	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3446	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3559	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3753	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3358	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3100	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4009	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3982	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4079	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3511	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3636, Train Accuracy: 0.8730
Epoch 11 training time consumed: 29.62s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8659, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3647	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3700	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.2907	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3512	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3400	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3578	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3227	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3227	LR: 0.004000
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Training Epoch: 12 [2560/48750]	Loss: 0.3255	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3327	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3187	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.2568	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3129	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.4520	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3587	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.3066	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.2871	LR: 0.004000
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Training Epoch: 12 [27904/48750]	Loss: 0.3120	LR: 0.004000
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Training Epoch: 12 [28416/48750]	Loss: 0.2923	LR: 0.004000
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Training Epoch: 12 [30720/48750]	Loss: 0.3353	LR: 0.004000
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Training Epoch: 12 [38656/48750]	Loss: 0.2840	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.3009	LR: 0.004000
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Training Epoch: 12 [45568/48750]	Loss: 0.2574	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.3455	LR: 0.004000
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Training Epoch: 12 [46336/48750]	Loss: 0.3461	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.2786	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3173	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.2595	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3229	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.4370	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3823	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3025	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2917	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2735	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3163	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3180, Train Accuracy: 0.8897
Epoch 12 training time consumed: 29.65s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8815, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3805	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.2496	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.2672	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3376	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.3007	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3114	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.2860	LR: 0.004000
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Training Epoch: 13 [47616/48750]	Loss: 0.3226	LR: 0.004000
Training Epoch: 13 [47872/48750]	Loss: 0.2613	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.2748	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.3320	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.2849	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.2455	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3007, Train Accuracy: 0.8955
Epoch 13 training time consumed: 29.70s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8850, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2404	LR: 0.004000
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Training Epoch: 14 [1536/48750]	Loss: 0.2800	LR: 0.004000
Training Epoch: 14 [1792/48750]	Loss: 0.3089	LR: 0.004000
Training Epoch: 14 [2048/48750]	Loss: 0.2546	LR: 0.004000
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Training Epoch: 14 [25856/48750]	Loss: 0.2258	LR: 0.004000
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Training Epoch: 14 [44800/48750]	Loss: 0.3668	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.3104	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.3488	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2706	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.3210	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2600	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3989	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3160	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3672	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3288	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3201	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2300	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3384	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3359	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2865	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.3102	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.2034	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2939, Train Accuracy: 0.8971
Epoch 14 training time consumed: 29.72s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8855, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.3169	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2469	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2992	LR: 0.004000
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Training Epoch: 15 [2048/48750]	Loss: 0.2840	LR: 0.004000
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Training Epoch: 15 [2816/48750]	Loss: 0.2992	LR: 0.004000
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Training Epoch: 15 [47104/48750]	Loss: 0.2474	LR: 0.004000
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Training Epoch: 15 [47616/48750]	Loss: 0.2664	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3012	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.2790	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2902	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3594	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.2051	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2856, Train Accuracy: 0.8987
Epoch 15 training time consumed: 29.70s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8880, Time consumed:1.09s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.3932	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.3458	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2497	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.3252	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.3351	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.3310	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.2013	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.3236	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.1831	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.3426	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.3214	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.2195	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.3067	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.1882	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.2325	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.2265	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.1933	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.3140	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.1875	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.3355	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.2741	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.3657	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.2872	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.2641	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.3054	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.1840	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.3236	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.2040	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.2923	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.2268	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.2288	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.3431	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.2401	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.3102	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.3574	LR: 0.000800
Training Epoch: 16 [24320/48750]	Loss: 0.3252	LR: 0.000800
Training Epoch: 16 [24576/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 16 [24832/48750]	Loss: 0.2253	LR: 0.000800
Training Epoch: 16 [25088/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.3055	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.2414	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 16 [27136/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 16 [27392/48750]	Loss: 0.3983	LR: 0.000800
Training Epoch: 16 [27648/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 16 [27904/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.3466	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 16 [29184/48750]	Loss: 0.1927	LR: 0.000800
Training Epoch: 16 [29440/48750]	Loss: 0.3249	LR: 0.000800
Training Epoch: 16 [29696/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 16 [29952/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 16 [30208/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 16 [30464/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 16 [30720/48750]	Loss: 0.1967	LR: 0.000800
Training Epoch: 16 [30976/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 16 [31232/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 16 [31488/48750]	Loss: 0.3257	LR: 0.000800
Training Epoch: 16 [31744/48750]	Loss: 0.1685	LR: 0.000800
Training Epoch: 16 [32000/48750]	Loss: 0.3403	LR: 0.000800
Training Epoch: 16 [32256/48750]	Loss: 0.1871	LR: 0.000800
Training Epoch: 16 [32512/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 16 [32768/48750]	Loss: 0.2180	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.1988	LR: 0.000800
Training Epoch: 16 [33280/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 16 [33536/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 16 [33792/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 16 [34048/48750]	Loss: 0.1644	LR: 0.000800
Training Epoch: 16 [34304/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 16 [34560/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 16 [34816/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 16 [35072/48750]	Loss: 0.2507	LR: 0.000800
Training Epoch: 16 [35328/48750]	Loss: 0.3222	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.2731	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.2298	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.2094	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.2369	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.3170	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.3080	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.2234	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.2952	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 16 [39680/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 16 [39936/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.2561	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.3212	LR: 0.000800
Training Epoch: 16 [41216/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 16 [41472/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.3293	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.3575	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.3995	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.2502	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.3979	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.2343	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.3178	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.3408	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.3424	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.3702	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.3232	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.1925	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.2987	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.1756	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2429	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2500	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2755, Train Accuracy: 0.9044
Epoch 16 training time consumed: 29.61s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8894, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.3097	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2434	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2518	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2196	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.3133	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.2284	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.1980	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2622	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2230	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.2414	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.3160	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.3169	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.3928	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.1947	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.2890	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.2077	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.2275	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.2587	LR: 0.000800
Training Epoch: 17 [12544/48750]	Loss: 0.2220	LR: 0.000800
Training Epoch: 17 [12800/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 17 [13056/48750]	Loss: 0.3202	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.2090	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 17 [14080/48750]	Loss: 0.2597	LR: 0.000800
Training Epoch: 17 [14336/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 17 [14592/48750]	Loss: 0.1973	LR: 0.000800
Training Epoch: 17 [14848/48750]	Loss: 0.2458	LR: 0.000800
Training Epoch: 17 [15104/48750]	Loss: 0.2486	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.3534	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.1863	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.4096	LR: 0.000800
Training Epoch: 17 [16384/48750]	Loss: 0.3130	LR: 0.000800
Training Epoch: 17 [16640/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 17 [17152/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 17 [17408/48750]	Loss: 0.3286	LR: 0.000800
Training Epoch: 17 [17664/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 17 [17920/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 17 [18176/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.2128	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.2216	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.3232	LR: 0.000800
Training Epoch: 17 [19200/48750]	Loss: 0.2380	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.2147	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.2269	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.2527	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.3233	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.3425	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 17 [20992/48750]	Loss: 0.2884	LR: 0.000800
Training Epoch: 17 [21248/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 17 [21504/48750]	Loss: 0.3572	LR: 0.000800
Training Epoch: 17 [21760/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 17 [22016/48750]	Loss: 0.2265	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.2669	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 17 [24064/48750]	Loss: 0.2629	LR: 0.000800
Training Epoch: 17 [24320/48750]	Loss: 0.3314	LR: 0.000800
Training Epoch: 17 [24576/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.3421	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.3001	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.2063	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.3050	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2494	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.3025	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.2559	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.4083	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.2099	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.3586	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.2142	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.3483	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.2795	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.3333	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2236	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.3276	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.2090	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2064	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.2319	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.3312	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.2015	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.1877	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2121	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2126	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.3528	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.3098	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.1952	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.3590	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.2170	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.1990	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.2343	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.2351	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.2854	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.3147	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2696	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2275	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2382	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2178	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2052	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2294	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2325	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.3033	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2708, Train Accuracy: 0.9053
Epoch 17 training time consumed: 29.58s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8891, Time consumed:1.12s
Training Epoch: 18 [256/48750]	Loss: 0.2707	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2091	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.3059	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2885	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.2518	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.3127	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2056	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.3121	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.3065	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.3459	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.1719	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.2318	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2275	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2304	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.3278	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.3129	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.1997	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.2352	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.3161	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2024	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2590	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.3066	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2696	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2128	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2189	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.1963	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.2121	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.2430	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.2190	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.2297	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.3206	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.1929	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.2759	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.2759	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.3093	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.3369	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.2323	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.1673	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2592	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.3389	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.2254	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2019	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.3392	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.3294	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.3372	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.3224	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.2461	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.3483	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.3304	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.3098	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.1999	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2390	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2167	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 18 [34304/48750]	Loss: 0.3698	LR: 0.000800
Training Epoch: 18 [34560/48750]	Loss: 0.2179	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2176	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.2300	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.2340	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2187	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2812	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2224	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.1893	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2140	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.3063	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.1889	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 18 [38912/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 18 [39168/48750]	Loss: 0.2507	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.2833	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.1896	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.2275	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.3375	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 18 [41728/48750]	Loss: 0.3436	LR: 0.000800
Training Epoch: 18 [41984/48750]	Loss: 0.2474	LR: 0.000800
Training Epoch: 18 [42240/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2115	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2042	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.3313	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.3567	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.3011	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.3724	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2216	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2166	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.3294	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.3422	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.1904	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3069	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2902	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2697, Train Accuracy: 0.9059
Epoch 18 training time consumed: 29.77s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8919, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Monday_22_September_2025_21h_31m_30s/ResNet18-Cifar10-seed6-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2272	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.1796	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.3262	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2598	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2494	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2156	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.3008	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2518	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.1988	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.1759	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2225	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2404	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.3094	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2828	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3391	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2067	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2198	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2380	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.3281	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2116	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2211	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.3106	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.1949	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2518	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.3327	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2496	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3566	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2208	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2977	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2332	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.3194	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2078	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3269	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2283	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.3314	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.3362	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2905	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3408	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2235	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2479	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.3701	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2451	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2318	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.3116	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2705	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.3460	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.3063	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2129	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2372	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2141	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2331	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3134	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.3219	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2408	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.1799	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2139	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2153	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2076	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.1891	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2261	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2008	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.3180	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2182	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2987	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.1988	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2174	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2523	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2055	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2074	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2305	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2485	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2008	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.3277	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3155	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.3433	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2210	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.3622	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2668, Train Accuracy: 0.9072
Epoch 19 training time consumed: 29.68s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8905, Time consumed:1.00s
Training Epoch: 20 [256/48750]	Loss: 0.2421	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.3313	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2998	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2507	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2153	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2531	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2387	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.3200	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.3080	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2075	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2509	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.3106	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.3110	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.3127	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2972	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.3358	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2475	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2281	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2066	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2156	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.3248	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2170	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.3064	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2460	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2125	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2460	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2071	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2046	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.3551	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2221	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2140	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.1930	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.3418	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2308	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2370	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2309	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2149	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.3528	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.3385	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2966	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.3005	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2178	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.3369	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.3360	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2280	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2182	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.3034	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.3663	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.3142	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.3512	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.1871	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.3233	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.1830	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.3296	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.2306	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.1640	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.3558	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2319	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2155	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.3394	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.3357	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2850	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.3254	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.1842	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.3842	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.3333	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.3275	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.2280	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.2266	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.1916	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2312	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.2334	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2857	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.3407	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.2442	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2065	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2873	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.2568	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.2198	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2386	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.3259	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2291	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2795	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.3585	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2482	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.2485	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.3244	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2286	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2665	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.3331	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2154	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2990	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.1496	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2141	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2419	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2699, Train Accuracy: 0.9056
Epoch 20 training time consumed: 29.55s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8914, Time consumed:0.98s
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: 0.7400
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
MIA Attack Accuracy with XGBoost: 0.4800
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.6505
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
MIA Attack Accuracy with XGBoost: 0.5105
Test Accuracy: 91.552734375
Retain Accuracy: 94.09161376953125
Zero-Retain Forget (ZRF): 0.8197877407073975
Membership Inference Attack (MIA): 0.6928
Forget vs Retain Membership Inference Attack (MIA): 0.74
Forget vs Test Membership Inference Attack (MIA): 0.48
Test vs Retain Membership Inference Attack (MIA): 0.6505
Train vs Test Membership Inference Attack (MIA): 0.5105
Forget Set Accuracy (Df): 94.7241439819336
Method Execution Time: 2527.51 seconds
