hello
hello

📌 Retain class distribution for seed 5:
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 5:
Class 0: 500
Class 1: 500
Class 2: 500
Class 3: 500
Class 4: 500
Class 5: 500
Class 6: 500
Class 7: 500
Class 8: 500
Class 9: 500

📊 Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.3705	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3971	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3550	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3249	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3092	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2671	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2682	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2100	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2483	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.1622	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2012	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2160	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.0922	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1108	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0209	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0159	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0167	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9818	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9753	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9550	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.8600	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.8494	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8809	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.7592	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.8693	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.9983	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9006	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.7012	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9047	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8707	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9158	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8396	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8337	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.7980	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.7377	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8521	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.6936	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.6476	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.7182	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.8443	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.6719	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.9192	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8678	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8052	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.8315	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7592	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7307	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7145	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.7841	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7807	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7326	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6744	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7665	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.8234	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.8258	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7588	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.8329	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.9793	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.8081	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7880	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7408	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7049	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7374	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6754	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.8144	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7431	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.7804	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6617	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.8472	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6965	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6846	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7580	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.7716	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7162	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.8296	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.8011	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.5337	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.7676	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.7318	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6373	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.7517	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.5974	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.8957	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7147	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6345	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.7185	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.6085	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6795	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.7625	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5042	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5719	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6657	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6650	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.6613	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5495	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.6589	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5997	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.5946	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.5865	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.6712	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.4591	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6534	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.7902	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.6005	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.6254	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.5884	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.8206	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5554	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.7163	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.6342	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.6626	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.6095	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.5274	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.6724	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4637	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.6744	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.6828	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.6169	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.6165	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.7369	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4989	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.4894	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.6178	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.5816	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.6287	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.5501	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.5760	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.6151	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5380	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.5930	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.5543	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.5038	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.6413	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.5951	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.7273	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.4918	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.5868	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.6358	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5311	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.5407	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.4659	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.5604	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.6060	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.3483	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.7745	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.5537	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.3003	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.5575	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.4863	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.6171	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4472	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.6192	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.4447	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.4254	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4845	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.5531	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.5289	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4246	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.4452	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4515	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.5460	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4484	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4482	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.5967	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4009	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.3222	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.4482	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.5502	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4346	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3505	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.3236	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.4621	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4480	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.5335	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.4473	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3940	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.4777	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.4967	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.3339	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.5242	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.4450	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.4895	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.3136	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3908	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4314	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3502	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.3983	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.5076	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.4992	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.5635	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.4525	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6901, Train Accuracy: 0.3793
Epoch 1 training time consumed: 30.06s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0087, Accuracy: 0.3853, Time consumed:1.07s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.5595	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.3747	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.3978	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.4127	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.5711	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.6118	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.5102	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.6290	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.6936	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.7553	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.3680	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.7010	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.4267	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.6100	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.5577	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.4501	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.5572	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.5178	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3992	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3812	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.4785	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.4113	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.2729	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.5073	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3744	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.1807	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.4231	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.2663	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2841	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.3161	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.2433	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3322	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.1907	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.3957	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.4364	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.2493	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.4073	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.3722	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.3235	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.4169	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2491	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.3082	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.3911	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.3054	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.3478	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2032	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2856	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.3214	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.3548	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.3389	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.2323	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2674	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2483	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2047	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.2539	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2019	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.3980	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.3559	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.2416	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2879	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.2941	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.2210	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2770	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2890	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.4187	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2036	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.1035	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.0927	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.3436	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1303	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.2025	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.0980	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2966	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.3397	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.2905	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2303	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.0710	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.0551	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.1525	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.2064	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.1571	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.2708	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.9871	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.0728	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2108, Train Accuracy: 0.5673
Epoch 2 training time consumed: 29.29s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0047, Accuracy: 0.6245, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.9954	LR: 0.100000
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Training Epoch: 3 [47872/48750]	Loss: 0.7463	LR: 0.100000
Training Epoch: 3 [48128/48750]	Loss: 0.8472	LR: 0.100000
Training Epoch: 3 [48384/48750]	Loss: 0.9499	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.9052	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.7844	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9479, Train Accuracy: 0.6651
Epoch 3 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0036, Accuracy: 0.6893, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.8996	LR: 0.100000
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Training Epoch: 4 [47104/48750]	Loss: 0.6778	LR: 0.100000
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Training Epoch: 4 [47616/48750]	Loss: 0.8045	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 1.0905	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8069, Train Accuracy: 0.7150
Epoch 4 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0038, Accuracy: 0.6857, Time consumed:0.91s
Training Epoch: 5 [256/48750]	Loss: 0.7526	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.7053	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7103, Train Accuracy: 0.7517
Epoch 5 training time consumed: 29.25s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0032, Accuracy: 0.7326, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.5696	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.5845	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6434, Train Accuracy: 0.7763
Epoch 6 training time consumed: 29.48s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0028, Accuracy: 0.7601, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.5866	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.5796	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.5962	LR: 0.100000
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Training Epoch: 7 [48750/48750]	Loss: 0.6327	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5922, Train Accuracy: 0.7941
Epoch 7 training time consumed: 29.38s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0022, Accuracy: 0.8064, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.6027	LR: 0.020000
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Training Epoch: 8 [28160/48750]	Loss: 0.4443	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.4029	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4016	LR: 0.020000
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Training Epoch: 8 [46080/48750]	Loss: 0.3591	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.3798	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.3672	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4216	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3611	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.3171	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.3679	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4685	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4235	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4090	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.3682	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.3818	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4361, Train Accuracy: 0.8467
Epoch 8 training time consumed: 29.32s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8650, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.3527	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.3178	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4077	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3070	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4128	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.2763	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3646	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.3960	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.2896	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3772	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.3963	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.3745	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.4244	LR: 0.020000
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Training Epoch: 9 [4352/48750]	Loss: 0.3816	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.3271	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.4080	LR: 0.020000
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Training Epoch: 9 [45824/48750]	Loss: 0.3622	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.3773	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.4309	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.4209	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.4186	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3313	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4112	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.3814	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.3400	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4304	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3290	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3565	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3676	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3889, Train Accuracy: 0.8654
Epoch 9 training time consumed: 29.38s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8683, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3963	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3809	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.3827	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3237	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3321	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3155	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3367	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3778	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3604	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4461	LR: 0.020000
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Training Epoch: 10 [47872/48750]	Loss: 0.3473	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.2703	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4272	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.3885	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.3759	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3677, Train Accuracy: 0.8712
Epoch 10 training time consumed: 29.36s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8703, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.4069	LR: 0.020000
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Training Epoch: 11 [768/48750]	Loss: 0.3137	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3223	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.2994	LR: 0.020000
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Training Epoch: 11 [2816/48750]	Loss: 0.3458	LR: 0.020000
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Training Epoch: 11 [3840/48750]	Loss: 0.3777	LR: 0.020000
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Training Epoch: 11 [4352/48750]	Loss: 0.4471	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.3309	LR: 0.020000
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Training Epoch: 11 [24576/48750]	Loss: 0.3806	LR: 0.020000
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Training Epoch: 11 [26624/48750]	Loss: 0.3343	LR: 0.020000
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Training Epoch: 11 [27904/48750]	Loss: 0.3574	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.3222	LR: 0.020000
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Training Epoch: 11 [30208/48750]	Loss: 0.3662	LR: 0.020000
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Training Epoch: 11 [30720/48750]	Loss: 0.3184	LR: 0.020000
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Training Epoch: 11 [32000/48750]	Loss: 0.3345	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.3515	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3979	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3477	LR: 0.020000
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Training Epoch: 11 [35328/48750]	Loss: 0.3124	LR: 0.020000
Training Epoch: 11 [35584/48750]	Loss: 0.4546	LR: 0.020000
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Training Epoch: 11 [43008/48750]	Loss: 0.4153	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.3642	LR: 0.020000
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Training Epoch: 11 [44288/48750]	Loss: 0.3844	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.4307	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3542	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3768	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.2843	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3941	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3530	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3531	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3648	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3535	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.4765	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3323	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3239	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3674	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.4040	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3764	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3327	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4448	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.5160	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3536, Train Accuracy: 0.8783
Epoch 11 training time consumed: 29.43s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8720, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3400	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3794	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3681	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3505	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.2565	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.2794	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3769	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.2700	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.4450	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.2617	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.2928	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3288	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3184	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3226	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.3362	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3426	LR: 0.004000
Training Epoch: 12 [4352/48750]	Loss: 0.2523	LR: 0.004000
Training Epoch: 12 [4608/48750]	Loss: 0.3275	LR: 0.004000
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Training Epoch: 12 [5632/48750]	Loss: 0.2824	LR: 0.004000
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Training Epoch: 12 [16128/48750]	Loss: 0.4080	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.3481	LR: 0.004000
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Training Epoch: 12 [16896/48750]	Loss: 0.3840	LR: 0.004000
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Training Epoch: 12 [27392/48750]	Loss: 0.2668	LR: 0.004000
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Training Epoch: 12 [27904/48750]	Loss: 0.2865	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.2944	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3064	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.2802	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.2349	LR: 0.004000
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Training Epoch: 12 [30720/48750]	Loss: 0.2416	LR: 0.004000
Training Epoch: 12 [30976/48750]	Loss: 0.2793	LR: 0.004000
Training Epoch: 12 [31232/48750]	Loss: 0.2688	LR: 0.004000
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Training Epoch: 12 [32512/48750]	Loss: 0.3183	LR: 0.004000
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Training Epoch: 12 [36096/48750]	Loss: 0.2614	LR: 0.004000
Training Epoch: 12 [36352/48750]	Loss: 0.1924	LR: 0.004000
Training Epoch: 12 [36608/48750]	Loss: 0.2894	LR: 0.004000
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Training Epoch: 12 [37376/48750]	Loss: 0.3423	LR: 0.004000
Training Epoch: 12 [37632/48750]	Loss: 0.2477	LR: 0.004000
Training Epoch: 12 [37888/48750]	Loss: 0.3613	LR: 0.004000
Training Epoch: 12 [38144/48750]	Loss: 0.2996	LR: 0.004000
Training Epoch: 12 [38400/48750]	Loss: 0.2639	LR: 0.004000
Training Epoch: 12 [38656/48750]	Loss: 0.4212	LR: 0.004000
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Training Epoch: 12 [42496/48750]	Loss: 0.4009	LR: 0.004000
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Training Epoch: 12 [43008/48750]	Loss: 0.3690	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.3141	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.2781	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.3397	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.3282	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.2943	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3498	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3142	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3328	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.2774	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.2191	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3131	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.2543	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.2914	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2851	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.3557	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3153	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3084, Train Accuracy: 0.8930
Epoch 12 training time consumed: 29.35s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8842, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3361	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3476	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3575	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.2565	LR: 0.004000
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Training Epoch: 13 [46592/48750]	Loss: 0.2867	LR: 0.004000
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Training Epoch: 13 [47616/48750]	Loss: 0.2999	LR: 0.004000
Training Epoch: 13 [47872/48750]	Loss: 0.3243	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.3975	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.2600	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.2776	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.3940	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2957, Train Accuracy: 0.8968
Epoch 13 training time consumed: 29.47s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8897, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3062	LR: 0.004000
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Training Epoch: 14 [768/48750]	Loss: 0.2721	LR: 0.004000
Training Epoch: 14 [1024/48750]	Loss: 0.3129	LR: 0.004000
Training Epoch: 14 [1280/48750]	Loss: 0.3862	LR: 0.004000
Training Epoch: 14 [1536/48750]	Loss: 0.3059	LR: 0.004000
Training Epoch: 14 [1792/48750]	Loss: 0.2823	LR: 0.004000
Training Epoch: 14 [2048/48750]	Loss: 0.2413	LR: 0.004000
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Training Epoch: 14 [24576/48750]	Loss: 0.2542	LR: 0.004000
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Training Epoch: 14 [25088/48750]	Loss: 0.2852	LR: 0.004000
Training Epoch: 14 [25344/48750]	Loss: 0.3036	LR: 0.004000
Training Epoch: 14 [25600/48750]	Loss: 0.2213	LR: 0.004000
Training Epoch: 14 [25856/48750]	Loss: 0.2342	LR: 0.004000
Training Epoch: 14 [26112/48750]	Loss: 0.2765	LR: 0.004000
Training Epoch: 14 [26368/48750]	Loss: 0.3292	LR: 0.004000
Training Epoch: 14 [26624/48750]	Loss: 0.2835	LR: 0.004000
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Training Epoch: 14 [27136/48750]	Loss: 0.2887	LR: 0.004000
Training Epoch: 14 [27392/48750]	Loss: 0.3338	LR: 0.004000
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Training Epoch: 14 [29440/48750]	Loss: 0.2998	LR: 0.004000
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Training Epoch: 14 [29952/48750]	Loss: 0.3948	LR: 0.004000
Training Epoch: 14 [30208/48750]	Loss: 0.2461	LR: 0.004000
Training Epoch: 14 [30464/48750]	Loss: 0.3356	LR: 0.004000
Training Epoch: 14 [30720/48750]	Loss: 0.3626	LR: 0.004000
Training Epoch: 14 [30976/48750]	Loss: 0.1889	LR: 0.004000
Training Epoch: 14 [31232/48750]	Loss: 0.2764	LR: 0.004000
Training Epoch: 14 [31488/48750]	Loss: 0.3577	LR: 0.004000
Training Epoch: 14 [31744/48750]	Loss: 0.3140	LR: 0.004000
Training Epoch: 14 [32000/48750]	Loss: 0.2633	LR: 0.004000
Training Epoch: 14 [32256/48750]	Loss: 0.2873	LR: 0.004000
Training Epoch: 14 [32512/48750]	Loss: 0.2851	LR: 0.004000
Training Epoch: 14 [32768/48750]	Loss: 0.3098	LR: 0.004000
Training Epoch: 14 [33024/48750]	Loss: 0.2440	LR: 0.004000
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Training Epoch: 14 [36352/48750]	Loss: 0.2915	LR: 0.004000
Training Epoch: 14 [36608/48750]	Loss: 0.3038	LR: 0.004000
Training Epoch: 14 [36864/48750]	Loss: 0.3310	LR: 0.004000
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Training Epoch: 14 [37376/48750]	Loss: 0.2652	LR: 0.004000
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Training Epoch: 14 [43264/48750]	Loss: 0.2944	LR: 0.004000
Training Epoch: 14 [43520/48750]	Loss: 0.2639	LR: 0.004000
Training Epoch: 14 [43776/48750]	Loss: 0.2805	LR: 0.004000
Training Epoch: 14 [44032/48750]	Loss: 0.2792	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.3228	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.1674	LR: 0.004000
Training Epoch: 14 [44800/48750]	Loss: 0.2773	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.2889	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2687	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2184	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2929	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.3210	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.2856	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.2940	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2518	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.2391	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.2531	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.3419	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3076	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2432	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2413	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2008	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3036	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2833, Train Accuracy: 0.9007
Epoch 14 training time consumed: 29.46s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8871, Time consumed:0.90s
Training Epoch: 15 [256/48750]	Loss: 0.2616	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2357	LR: 0.004000
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Training Epoch: 15 [1024/48750]	Loss: 0.3092	LR: 0.004000
Training Epoch: 15 [1280/48750]	Loss: 0.2674	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.3037	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.2210	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.3134	LR: 0.004000
Training Epoch: 15 [2304/48750]	Loss: 0.2812	LR: 0.004000
Training Epoch: 15 [2560/48750]	Loss: 0.2769	LR: 0.004000
Training Epoch: 15 [2816/48750]	Loss: 0.3050	LR: 0.004000
Training Epoch: 15 [3072/48750]	Loss: 0.2554	LR: 0.004000
Training Epoch: 15 [3328/48750]	Loss: 0.2342	LR: 0.004000
Training Epoch: 15 [3584/48750]	Loss: 0.3495	LR: 0.004000
Training Epoch: 15 [3840/48750]	Loss: 0.3062	LR: 0.004000
Training Epoch: 15 [4096/48750]	Loss: 0.2584	LR: 0.004000
Training Epoch: 15 [4352/48750]	Loss: 0.2538	LR: 0.004000
Training Epoch: 15 [4608/48750]	Loss: 0.2643	LR: 0.004000
Training Epoch: 15 [4864/48750]	Loss: 0.2188	LR: 0.004000
Training Epoch: 15 [5120/48750]	Loss: 0.2456	LR: 0.004000
Training Epoch: 15 [5376/48750]	Loss: 0.2810	LR: 0.004000
Training Epoch: 15 [5632/48750]	Loss: 0.2783	LR: 0.004000
Training Epoch: 15 [5888/48750]	Loss: 0.3760	LR: 0.004000
Training Epoch: 15 [6144/48750]	Loss: 0.2309	LR: 0.004000
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Training Epoch: 15 [6656/48750]	Loss: 0.2990	LR: 0.004000
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Training Epoch: 15 [7168/48750]	Loss: 0.2698	LR: 0.004000
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Training Epoch: 15 [8448/48750]	Loss: 0.2960	LR: 0.004000
Training Epoch: 15 [8704/48750]	Loss: 0.3434	LR: 0.004000
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Training Epoch: 15 [11776/48750]	Loss: 0.2212	LR: 0.004000
Training Epoch: 15 [12032/48750]	Loss: 0.3563	LR: 0.004000
Training Epoch: 15 [12288/48750]	Loss: 0.2463	LR: 0.004000
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Training Epoch: 15 [26112/48750]	Loss: 0.3099	LR: 0.004000
Training Epoch: 15 [26368/48750]	Loss: 0.2810	LR: 0.004000
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Training Epoch: 15 [27904/48750]	Loss: 0.2656	LR: 0.004000
Training Epoch: 15 [28160/48750]	Loss: 0.2645	LR: 0.004000
Training Epoch: 15 [28416/48750]	Loss: 0.3097	LR: 0.004000
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Training Epoch: 15 [36864/48750]	Loss: 0.2995	LR: 0.004000
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Training Epoch: 15 [37376/48750]	Loss: 0.2612	LR: 0.004000
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Training Epoch: 15 [45056/48750]	Loss: 0.2227	LR: 0.004000
Training Epoch: 15 [45312/48750]	Loss: 0.2131	LR: 0.004000
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Training Epoch: 15 [46336/48750]	Loss: 0.3190	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.2924	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.2697	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2811	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2402	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.2487	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3058	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.2477	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2925	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3617	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.2954	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2815, Train Accuracy: 0.9016
Epoch 15 training time consumed: 29.42s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8905, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.3474	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.3122	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.3613	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.1958	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.2226	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.2389	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.2575	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.3035	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.2087	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.2052	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.3086	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.2333	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.2231	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.2777	LR: 0.000800
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Training Epoch: 16 [6656/48750]	Loss: 0.3059	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.2486	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.3321	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.2616	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.3012	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.3322	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.3007	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.3184	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.2299	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.3052	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.1908	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.2240	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.1983	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.2097	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.2978	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.2502	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.2135	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.3384	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.3529	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.3109	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.3312	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.3251	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.2303	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.2854	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.2998	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.3470	LR: 0.000800
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Training Epoch: 16 [18688/48750]	Loss: 0.2184	LR: 0.000800
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Training Epoch: 16 [19712/48750]	Loss: 0.3597	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.2313	LR: 0.000800
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Training Epoch: 16 [20736/48750]	Loss: 0.2882	LR: 0.000800
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Training Epoch: 16 [22016/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.2197	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.2722	LR: 0.000800
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Training Epoch: 16 [23552/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.3451	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.2789	LR: 0.000800
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Training Epoch: 16 [28160/48750]	Loss: 0.1808	LR: 0.000800
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Training Epoch: 16 [28928/48750]	Loss: 0.2769	LR: 0.000800
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Training Epoch: 16 [35328/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.3384	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.2259	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.3292	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.2119	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.3570	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.2088	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.2881	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.2540	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.2911	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.2398	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.2340	LR: 0.000800
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Training Epoch: 16 [39424/48750]	Loss: 0.1952	LR: 0.000800
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Training Epoch: 16 [39936/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.3094	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.2849	LR: 0.000800
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Training Epoch: 16 [41472/48750]	Loss: 0.2316	LR: 0.000800
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Training Epoch: 16 [41984/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.2647	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.2669	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.3966	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.2488	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.3788	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.2327	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.2351	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.2953	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.2045	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.2008	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.2230	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.3184	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2132	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2420	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.1811	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2141	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3206	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.3200	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2691, Train Accuracy: 0.9046
Epoch 16 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8927, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2604	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2182	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2430	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.3570	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2352	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.3594	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2832	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.3370	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.3236	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.1998	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.2222	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.3399	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2437	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.2421	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.2251	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.3167	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.3488	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.1921	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.2540	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.2250	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.2272	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.2415	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.3213	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.2821	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.2386	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2449	LR: 0.000800
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Training Epoch: 17 [11008/48750]	Loss: 0.2091	LR: 0.000800
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Training Epoch: 17 [11520/48750]	Loss: 0.2250	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.3007	LR: 0.000800
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Training Epoch: 17 [13568/48750]	Loss: 0.2592	LR: 0.000800
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Training Epoch: 17 [15872/48750]	Loss: 0.2008	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.2959	LR: 0.000800
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Training Epoch: 17 [16896/48750]	Loss: 0.2515	LR: 0.000800
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Training Epoch: 17 [18176/48750]	Loss: 0.2905	LR: 0.000800
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Training Epoch: 17 [18688/48750]	Loss: 0.2286	LR: 0.000800
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Training Epoch: 17 [19200/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.2297	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.2226	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.3508	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.2313	LR: 0.000800
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Training Epoch: 17 [20736/48750]	Loss: 0.2298	LR: 0.000800
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Training Epoch: 17 [22016/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.3124	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.1650	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.3109	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.3001	LR: 0.000800
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Training Epoch: 17 [43520/48750]	Loss: 0.2216	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2428	LR: 0.000800
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Training Epoch: 17 [44288/48750]	Loss: 0.2518	LR: 0.000800
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Training Epoch: 17 [45312/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.2355	LR: 0.000800
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Training Epoch: 17 [46080/48750]	Loss: 0.2054	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2057	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2344	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2061	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.1805	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2189	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2306	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2369	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2628, Train Accuracy: 0.9076
Epoch 17 training time consumed: 29.29s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8940, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_07m_58s/ResNet18-Cifar10-seed5-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.1936	LR: 0.000800
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Training Epoch: 18 [1536/48750]	Loss: 0.2706	LR: 0.000800
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Training Epoch: 18 [2048/48750]	Loss: 0.2432	LR: 0.000800
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Training Epoch: 18 [27392/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2502	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2414	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2008	LR: 0.000800
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Training Epoch: 18 [29440/48750]	Loss: 0.2661	LR: 0.000800
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Training Epoch: 18 [29952/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.3081	LR: 0.000800
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Training Epoch: 18 [30720/48750]	Loss: 0.2481	LR: 0.000800
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Training Epoch: 18 [35840/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2335	LR: 0.000800
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Training Epoch: 18 [48128/48750]	Loss: 0.2124	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.3269	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.1710	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2641, Train Accuracy: 0.9088
Epoch 18 training time consumed: 29.83s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8935, Time consumed:0.90s
Training Epoch: 19 [256/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.3695	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2096	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2212	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2647	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2304	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2217	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2923	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2280	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2678	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2067	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2472	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.3140	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2142	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2439	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2219	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.1931	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.3544	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.3451	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2880	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.3711	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3350	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2078	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2899	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2169	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.1811	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.2075	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2139	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2198	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3246	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2961	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.1869	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2227	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2696	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2147	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.1962	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2707	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.3159	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.3650	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.3265	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2269	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.3119	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2742	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2618	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2106	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2220	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2499	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2507	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2113	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2337	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.3312	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2254	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2028	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.1889	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2741	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2338	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2371	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.3482	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2941	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2101	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2201	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2291	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2970	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.2425	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2239	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.3534	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.3187	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2297	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.2076	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.1987	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2166	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2071	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2494	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2379	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2462	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.3159	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2229	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.3375	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2970	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2053	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.1900	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.3292	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2768	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.3376	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.1619	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2888	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2177	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.1872	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.1879	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2294	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.3192	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2380	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2350	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.3314	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2457	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.4173	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2646, Train Accuracy: 0.9083
Epoch 19 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8927, Time consumed:0.90s
Training Epoch: 20 [256/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2461	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2426	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2209	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2990	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2197	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2226	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2439	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2349	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2021	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.1613	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.1793	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2507	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2073	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2615	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2257	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2064	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2051	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2166	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2318	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2410	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2127	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2237	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2902	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2669	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2439	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2668	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2232	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2791	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.3437	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.3288	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.2150	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.1981	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.3874	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2523	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.3139	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.3017	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.2736	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2787	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2337	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2547	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2103	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.3325	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.3148	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2237	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2145	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.3265	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.3361	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.3507	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.3307	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2360	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2781	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.3167	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.3504	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.3485	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.3259	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2361	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.2466	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.1860	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.1652	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.1833	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2153	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.1637	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.2300	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2604	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2482	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2083	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2564	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2152	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.2082	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.2518	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.1509	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.2795	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.2112	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.3570	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.3648	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2553	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.2403	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2548	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.2222	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.2434	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2021	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2688	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.2564	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2688	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2199	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2382	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2001	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2494	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2000	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.1920	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2137	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.3527	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.1920	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2562	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2614, Train Accuracy: 0.9082
Epoch 20 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8926, Time consumed:0.89s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.365234375
Retain Accuracy: 91.36334228515625
Zero-Retain Forget (ZRF): 0.8247291445732117
Membership Inference Attack (MIA): 0.6416
Forget vs Retain Membership Inference Attack (MIA): 0.498
Forget vs Test Membership Inference Attack (MIA): 0.558
Test vs Retain Membership Inference Attack (MIA): 0.513
Train vs Test Membership Inference Attack (MIA): 0.522
Forget Set Accuracy (Df): 87.21446228027344
Method Execution Time: 1556.73 seconds
