hello
hello

📌 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: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3449	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3384	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3572	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3054	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.3032	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2439	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.1840	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2540	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.1986	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2072	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2553	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1345	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1963	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.1558	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0444	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 1.9544	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 2.0246	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 1.9248	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.9048	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.8683	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.9586	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.8092	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.9545	LR: 0.012155
Training Epoch: 1 [6144/46250]	Loss: 1.9705	LR: 0.012707
Training Epoch: 1 [6400/46250]	Loss: 1.9117	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.8264	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.9395	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.8653	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.9301	LR: 0.015470
Training Epoch: 1 [7680/46250]	Loss: 1.7794	LR: 0.016022
Training Epoch: 1 [7936/46250]	Loss: 1.8387	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.9568	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.8378	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8298	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.8002	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.7072	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.7319	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.7575	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7697	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.8257	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.6878	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7232	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.7885	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8088	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7132	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.9983	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.7935	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7665	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.7625	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.7595	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.8411	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.8037	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7878	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.7612	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.7572	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6864	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.8018	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.8203	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.8383	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.7869	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.7373	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.6810	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.8470	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.5830	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.7173	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.7744	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.6418	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.6529	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.6431	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.7325	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.7366	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.6754	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.8531	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.6566	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.6341	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.8856	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.5821	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.7695	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.6867	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.9332	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.7860	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.7072	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.8386	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6740	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.8404	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.7001	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.7631	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.8134	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6268	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.6909	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.7102	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.6915	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.7912	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.5676	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.8444	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.6291	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.5476	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.6153	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.5988	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.8410	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.6473	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.6401	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.8135	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.7709	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.7251	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.7154	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.4634	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.7823	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.6556	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.7761	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.7389	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.9612	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.7494	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.7855	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.5729	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.7854	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.8947	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.7357	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.8653	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.7117	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.8177	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 2.0339	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.9005	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.7086	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.9227	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.7216	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.7027	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.7994	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.7286	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.7278	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.5461	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.5498	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.5405	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.8243	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4371	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.8366	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.5768	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5778	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.5871	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.4652	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.6386	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.5610	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.4763	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.4975	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.4983	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.5941	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.4936	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.4668	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.3931	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.5105	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.5695	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.6292	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.5933	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.5414	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.5461	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.7083	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.6586	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.4760	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.4142	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.6348	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.5660	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.6345	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.5054	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.4540	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.6244	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.6613	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.4614	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.6089	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.5202	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.5759	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.4910	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4093	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.6261	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4208	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.5499	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.4083	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.5066	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4633	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4907	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.4586	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.3914	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7471, Train Accuracy: 0.3631
Epoch 1 training time consumed: 28.64s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0098, Accuracy: 0.3597, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.4527	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.4263	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4671	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.5139	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.3487	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.4470	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.3525	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.3044	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3052	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.4614	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.3350	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.3876	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.3037	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.3637	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3570	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.2617	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3964	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.2199	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.5853	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3888	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.2708	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.3565	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.3962	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.5248	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.3806	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.4070	LR: 0.100000
Training Epoch: 2 [6912/46250]	Loss: 1.4013	LR: 0.100000
Training Epoch: 2 [7168/46250]	Loss: 1.3573	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.3038	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.3268	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.3939	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.5678	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.4638	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.4661	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.2784	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.3739	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.3793	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.3831	LR: 0.100000
Training Epoch: 2 [9984/46250]	Loss: 1.3526	LR: 0.100000
Training Epoch: 2 [10240/46250]	Loss: 1.3307	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.2865	LR: 0.100000
Training Epoch: 2 [10752/46250]	Loss: 1.3399	LR: 0.100000
Training Epoch: 2 [11008/46250]	Loss: 1.2264	LR: 0.100000
Training Epoch: 2 [11264/46250]	Loss: 1.4114	LR: 0.100000
Training Epoch: 2 [11520/46250]	Loss: 1.4152	LR: 0.100000
Training Epoch: 2 [11776/46250]	Loss: 1.1709	LR: 0.100000
Training Epoch: 2 [12032/46250]	Loss: 1.3198	LR: 0.100000
Training Epoch: 2 [12288/46250]	Loss: 1.3391	LR: 0.100000
Training Epoch: 2 [12544/46250]	Loss: 1.2982	LR: 0.100000
Training Epoch: 2 [12800/46250]	Loss: 1.1679	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.3287	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.3914	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.2977	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.3034	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.3296	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.2944	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.2636	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.2050	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.4071	LR: 0.100000
Training Epoch: 2 [15360/46250]	Loss: 1.2235	LR: 0.100000
Training Epoch: 2 [15616/46250]	Loss: 1.1790	LR: 0.100000
Training Epoch: 2 [15872/46250]	Loss: 1.3262	LR: 0.100000
Training Epoch: 2 [16128/46250]	Loss: 1.1819	LR: 0.100000
Training Epoch: 2 [16384/46250]	Loss: 1.0929	LR: 0.100000
Training Epoch: 2 [16640/46250]	Loss: 1.2061	LR: 0.100000
Training Epoch: 2 [16896/46250]	Loss: 1.0729	LR: 0.100000
Training Epoch: 2 [17152/46250]	Loss: 1.1643	LR: 0.100000
Training Epoch: 2 [17408/46250]	Loss: 1.3273	LR: 0.100000
Training Epoch: 2 [17664/46250]	Loss: 1.1390	LR: 0.100000
Training Epoch: 2 [17920/46250]	Loss: 1.3877	LR: 0.100000
Training Epoch: 2 [18176/46250]	Loss: 1.3114	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.2881	LR: 0.100000
Training Epoch: 2 [18688/46250]	Loss: 1.2143	LR: 0.100000
Training Epoch: 2 [18944/46250]	Loss: 1.2935	LR: 0.100000
Training Epoch: 2 [19200/46250]	Loss: 1.4174	LR: 0.100000
Training Epoch: 2 [19456/46250]	Loss: 1.2687	LR: 0.100000
Training Epoch: 2 [19712/46250]	Loss: 1.2094	LR: 0.100000
Training Epoch: 2 [19968/46250]	Loss: 1.3374	LR: 0.100000
Training Epoch: 2 [20224/46250]	Loss: 1.4345	LR: 0.100000
Training Epoch: 2 [20480/46250]	Loss: 1.2625	LR: 0.100000
Training Epoch: 2 [20736/46250]	Loss: 1.3152	LR: 0.100000
Training Epoch: 2 [20992/46250]	Loss: 1.2203	LR: 0.100000
Training Epoch: 2 [21248/46250]	Loss: 1.2430	LR: 0.100000
Training Epoch: 2 [21504/46250]	Loss: 1.2617	LR: 0.100000
Training Epoch: 2 [21760/46250]	Loss: 1.2460	LR: 0.100000
Training Epoch: 2 [22016/46250]	Loss: 1.1683	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.1967	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.1336	LR: 0.100000
Training Epoch: 2 [22784/46250]	Loss: 1.2546	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.1949	LR: 0.100000
Training Epoch: 2 [23296/46250]	Loss: 1.2687	LR: 0.100000
Training Epoch: 2 [23552/46250]	Loss: 1.2566	LR: 0.100000
Training Epoch: 2 [23808/46250]	Loss: 1.1626	LR: 0.100000
Training Epoch: 2 [24064/46250]	Loss: 1.2018	LR: 0.100000
Training Epoch: 2 [24320/46250]	Loss: 1.2281	LR: 0.100000
Training Epoch: 2 [24576/46250]	Loss: 1.1603	LR: 0.100000
Training Epoch: 2 [24832/46250]	Loss: 1.1863	LR: 0.100000
Training Epoch: 2 [25088/46250]	Loss: 1.1136	LR: 0.100000
Training Epoch: 2 [25344/46250]	Loss: 1.1363	LR: 0.100000
Training Epoch: 2 [25600/46250]	Loss: 1.1970	LR: 0.100000
Training Epoch: 2 [25856/46250]	Loss: 1.3163	LR: 0.100000
Training Epoch: 2 [26112/46250]	Loss: 1.2247	LR: 0.100000
Training Epoch: 2 [26368/46250]	Loss: 1.1014	LR: 0.100000
Training Epoch: 2 [26624/46250]	Loss: 1.1311	LR: 0.100000
Training Epoch: 2 [26880/46250]	Loss: 1.0861	LR: 0.100000
Training Epoch: 2 [27136/46250]	Loss: 1.0409	LR: 0.100000
Training Epoch: 2 [27392/46250]	Loss: 1.1481	LR: 0.100000
Training Epoch: 2 [27648/46250]	Loss: 1.1751	LR: 0.100000
Training Epoch: 2 [27904/46250]	Loss: 1.3313	LR: 0.100000
Training Epoch: 2 [28160/46250]	Loss: 1.2138	LR: 0.100000
Training Epoch: 2 [28416/46250]	Loss: 1.1663	LR: 0.100000
Training Epoch: 2 [28672/46250]	Loss: 1.0827	LR: 0.100000
Training Epoch: 2 [28928/46250]	Loss: 1.2277	LR: 0.100000
Training Epoch: 2 [29184/46250]	Loss: 1.1980	LR: 0.100000
Training Epoch: 2 [29440/46250]	Loss: 1.1538	LR: 0.100000
Training Epoch: 2 [29696/46250]	Loss: 1.2451	LR: 0.100000
Training Epoch: 2 [29952/46250]	Loss: 1.2047	LR: 0.100000
Training Epoch: 2 [30208/46250]	Loss: 1.2671	LR: 0.100000
Training Epoch: 2 [30464/46250]	Loss: 1.0647	LR: 0.100000
Training Epoch: 2 [30720/46250]	Loss: 1.2854	LR: 0.100000
Training Epoch: 2 [30976/46250]	Loss: 1.1433	LR: 0.100000
Training Epoch: 2 [31232/46250]	Loss: 0.8983	LR: 0.100000
Training Epoch: 2 [31488/46250]	Loss: 1.0409	LR: 0.100000
Training Epoch: 2 [31744/46250]	Loss: 1.1783	LR: 0.100000
Training Epoch: 2 [32000/46250]	Loss: 1.2061	LR: 0.100000
Training Epoch: 2 [32256/46250]	Loss: 1.2069	LR: 0.100000
Training Epoch: 2 [32512/46250]	Loss: 0.9822	LR: 0.100000
Training Epoch: 2 [32768/46250]	Loss: 1.3107	LR: 0.100000
Training Epoch: 2 [33024/46250]	Loss: 1.1425	LR: 0.100000
Training Epoch: 2 [33280/46250]	Loss: 1.0420	LR: 0.100000
Training Epoch: 2 [33536/46250]	Loss: 1.0746	LR: 0.100000
Training Epoch: 2 [33792/46250]	Loss: 1.2269	LR: 0.100000
Training Epoch: 2 [34048/46250]	Loss: 1.1754	LR: 0.100000
Training Epoch: 2 [34304/46250]	Loss: 1.1356	LR: 0.100000
Training Epoch: 2 [34560/46250]	Loss: 1.1795	LR: 0.100000
Training Epoch: 2 [34816/46250]	Loss: 0.9856	LR: 0.100000
Training Epoch: 2 [35072/46250]	Loss: 1.3175	LR: 0.100000
Training Epoch: 2 [35328/46250]	Loss: 1.2250	LR: 0.100000
Training Epoch: 2 [35584/46250]	Loss: 1.1031	LR: 0.100000
Training Epoch: 2 [35840/46250]	Loss: 1.2052	LR: 0.100000
Training Epoch: 2 [36096/46250]	Loss: 1.0876	LR: 0.100000
Training Epoch: 2 [36352/46250]	Loss: 1.0314	LR: 0.100000
Training Epoch: 2 [36608/46250]	Loss: 1.1236	LR: 0.100000
Training Epoch: 2 [36864/46250]	Loss: 1.2021	LR: 0.100000
Training Epoch: 2 [37120/46250]	Loss: 1.0800	LR: 0.100000
Training Epoch: 2 [37376/46250]	Loss: 0.9418	LR: 0.100000
Training Epoch: 2 [37632/46250]	Loss: 1.1073	LR: 0.100000
Training Epoch: 2 [37888/46250]	Loss: 1.1505	LR: 0.100000
Training Epoch: 2 [38144/46250]	Loss: 1.1703	LR: 0.100000
Training Epoch: 2 [38400/46250]	Loss: 1.1101	LR: 0.100000
Training Epoch: 2 [38656/46250]	Loss: 1.0947	LR: 0.100000
Training Epoch: 2 [38912/46250]	Loss: 1.2092	LR: 0.100000
Training Epoch: 2 [39168/46250]	Loss: 1.1758	LR: 0.100000
Training Epoch: 2 [39424/46250]	Loss: 1.0724	LR: 0.100000
Training Epoch: 2 [39680/46250]	Loss: 1.0867	LR: 0.100000
Training Epoch: 2 [39936/46250]	Loss: 1.0846	LR: 0.100000
Training Epoch: 2 [40192/46250]	Loss: 1.0866	LR: 0.100000
Training Epoch: 2 [40448/46250]	Loss: 1.0082	LR: 0.100000
Training Epoch: 2 [40704/46250]	Loss: 1.0162	LR: 0.100000
Training Epoch: 2 [40960/46250]	Loss: 1.1183	LR: 0.100000
Training Epoch: 2 [41216/46250]	Loss: 1.0196	LR: 0.100000
Training Epoch: 2 [41472/46250]	Loss: 1.1282	LR: 0.100000
Training Epoch: 2 [41728/46250]	Loss: 1.0364	LR: 0.100000
Training Epoch: 2 [41984/46250]	Loss: 1.0069	LR: 0.100000
Training Epoch: 2 [42240/46250]	Loss: 0.9906	LR: 0.100000
Training Epoch: 2 [42496/46250]	Loss: 1.1034	LR: 0.100000
Training Epoch: 2 [42752/46250]	Loss: 1.0636	LR: 0.100000
Training Epoch: 2 [43008/46250]	Loss: 0.9526	LR: 0.100000
Training Epoch: 2 [43264/46250]	Loss: 0.9488	LR: 0.100000
Training Epoch: 2 [43520/46250]	Loss: 1.0607	LR: 0.100000
Training Epoch: 2 [43776/46250]	Loss: 1.1671	LR: 0.100000
Training Epoch: 2 [44032/46250]	Loss: 1.0949	LR: 0.100000
Training Epoch: 2 [44288/46250]	Loss: 1.1129	LR: 0.100000
Training Epoch: 2 [44544/46250]	Loss: 1.2220	LR: 0.100000
Training Epoch: 2 [44800/46250]	Loss: 0.9691	LR: 0.100000
Training Epoch: 2 [45056/46250]	Loss: 1.1237	LR: 0.100000
Training Epoch: 2 [45312/46250]	Loss: 1.0220	LR: 0.100000
Training Epoch: 2 [45568/46250]	Loss: 1.0567	LR: 0.100000
Training Epoch: 2 [45824/46250]	Loss: 1.1127	LR: 0.100000
Training Epoch: 2 [46080/46250]	Loss: 0.9634	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 1.1584	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2233, Train Accuracy: 0.5613
Epoch 2 training time consumed: 27.83s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0046, Accuracy: 0.5850, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 0.9866	LR: 0.100000
Training Epoch: 3 [512/46250]	Loss: 1.0437	LR: 0.100000
Training Epoch: 3 [768/46250]	Loss: 0.9710	LR: 0.100000
Training Epoch: 3 [1024/46250]	Loss: 0.9008	LR: 0.100000
Training Epoch: 3 [1280/46250]	Loss: 1.0029	LR: 0.100000
Training Epoch: 3 [1536/46250]	Loss: 0.9816	LR: 0.100000
Training Epoch: 3 [1792/46250]	Loss: 1.1006	LR: 0.100000
Training Epoch: 3 [2048/46250]	Loss: 1.0170	LR: 0.100000
Training Epoch: 3 [2304/46250]	Loss: 1.0811	LR: 0.100000
Training Epoch: 3 [2560/46250]	Loss: 1.1687	LR: 0.100000
Training Epoch: 3 [2816/46250]	Loss: 1.1521	LR: 0.100000
Training Epoch: 3 [3072/46250]	Loss: 0.9022	LR: 0.100000
Training Epoch: 3 [3328/46250]	Loss: 1.2200	LR: 0.100000
Training Epoch: 3 [3584/46250]	Loss: 1.0889	LR: 0.100000
Training Epoch: 3 [3840/46250]	Loss: 1.0496	LR: 0.100000
Training Epoch: 3 [4096/46250]	Loss: 1.0695	LR: 0.100000
Training Epoch: 3 [4352/46250]	Loss: 1.1587	LR: 0.100000
Training Epoch: 3 [4608/46250]	Loss: 1.0170	LR: 0.100000
Training Epoch: 3 [4864/46250]	Loss: 0.9142	LR: 0.100000
Training Epoch: 3 [5120/46250]	Loss: 0.9681	LR: 0.100000
Training Epoch: 3 [5376/46250]	Loss: 0.9562	LR: 0.100000
Training Epoch: 3 [5632/46250]	Loss: 1.0087	LR: 0.100000
Training Epoch: 3 [5888/46250]	Loss: 1.0322	LR: 0.100000
Training Epoch: 3 [6144/46250]	Loss: 0.9657	LR: 0.100000
Training Epoch: 3 [6400/46250]	Loss: 1.0757	LR: 0.100000
Training Epoch: 3 [6656/46250]	Loss: 0.9573	LR: 0.100000
Training Epoch: 3 [6912/46250]	Loss: 0.9308	LR: 0.100000
Training Epoch: 3 [7168/46250]	Loss: 0.9630	LR: 0.100000
Training Epoch: 3 [7424/46250]	Loss: 1.0193	LR: 0.100000
Training Epoch: 3 [7680/46250]	Loss: 0.9747	LR: 0.100000
Training Epoch: 3 [7936/46250]	Loss: 1.0021	LR: 0.100000
Training Epoch: 3 [8192/46250]	Loss: 1.0276	LR: 0.100000
Training Epoch: 3 [8448/46250]	Loss: 0.9286	LR: 0.100000
Training Epoch: 3 [8704/46250]	Loss: 1.1702	LR: 0.100000
Training Epoch: 3 [8960/46250]	Loss: 0.9898	LR: 0.100000
Training Epoch: 3 [9216/46250]	Loss: 1.0349	LR: 0.100000
Training Epoch: 3 [9472/46250]	Loss: 0.9516	LR: 0.100000
Training Epoch: 3 [9728/46250]	Loss: 0.9655	LR: 0.100000
Training Epoch: 3 [9984/46250]	Loss: 1.0491	LR: 0.100000
Training Epoch: 3 [10240/46250]	Loss: 0.9783	LR: 0.100000
Training Epoch: 3 [10496/46250]	Loss: 0.9117	LR: 0.100000
Training Epoch: 3 [10752/46250]	Loss: 1.0439	LR: 0.100000
Training Epoch: 3 [11008/46250]	Loss: 0.9649	LR: 0.100000
Training Epoch: 3 [11264/46250]	Loss: 1.0941	LR: 0.100000
Training Epoch: 3 [11520/46250]	Loss: 0.9468	LR: 0.100000
Training Epoch: 3 [11776/46250]	Loss: 1.1283	LR: 0.100000
Training Epoch: 3 [12032/46250]	Loss: 1.2047	LR: 0.100000
Training Epoch: 3 [12288/46250]	Loss: 1.0608	LR: 0.100000
Training Epoch: 3 [12544/46250]	Loss: 1.0647	LR: 0.100000
Training Epoch: 3 [12800/46250]	Loss: 1.0040	LR: 0.100000
Training Epoch: 3 [13056/46250]	Loss: 0.9795	LR: 0.100000
Training Epoch: 3 [13312/46250]	Loss: 1.0608	LR: 0.100000
Training Epoch: 3 [13568/46250]	Loss: 0.8290	LR: 0.100000
Training Epoch: 3 [13824/46250]	Loss: 1.0164	LR: 0.100000
Training Epoch: 3 [14080/46250]	Loss: 1.0844	LR: 0.100000
Training Epoch: 3 [14336/46250]	Loss: 0.9712	LR: 0.100000
Training Epoch: 3 [14592/46250]	Loss: 0.9687	LR: 0.100000
Training Epoch: 3 [14848/46250]	Loss: 1.0680	LR: 0.100000
Training Epoch: 3 [15104/46250]	Loss: 1.0118	LR: 0.100000
Training Epoch: 3 [15360/46250]	Loss: 0.8949	LR: 0.100000
Training Epoch: 3 [15616/46250]	Loss: 0.7640	LR: 0.100000
Training Epoch: 3 [15872/46250]	Loss: 1.0807	LR: 0.100000
Training Epoch: 3 [16128/46250]	Loss: 1.0846	LR: 0.100000
Training Epoch: 3 [16384/46250]	Loss: 0.9738	LR: 0.100000
Training Epoch: 3 [16640/46250]	Loss: 1.0126	LR: 0.100000
Training Epoch: 3 [16896/46250]	Loss: 0.8847	LR: 0.100000
Training Epoch: 3 [17152/46250]	Loss: 0.8650	LR: 0.100000
Training Epoch: 3 [17408/46250]	Loss: 1.0543	LR: 0.100000
Training Epoch: 3 [17664/46250]	Loss: 0.8104	LR: 0.100000
Training Epoch: 3 [17920/46250]	Loss: 1.0338	LR: 0.100000
Training Epoch: 3 [18176/46250]	Loss: 0.9734	LR: 0.100000
Training Epoch: 3 [18432/46250]	Loss: 1.0284	LR: 0.100000
Training Epoch: 3 [18688/46250]	Loss: 1.0137	LR: 0.100000
Training Epoch: 3 [18944/46250]	Loss: 1.1109	LR: 0.100000
Training Epoch: 3 [19200/46250]	Loss: 1.0406	LR: 0.100000
Training Epoch: 3 [19456/46250]	Loss: 0.9368	LR: 0.100000
Training Epoch: 3 [19712/46250]	Loss: 0.9248	LR: 0.100000
Training Epoch: 3 [19968/46250]	Loss: 0.7801	LR: 0.100000
Training Epoch: 3 [20224/46250]	Loss: 0.9986	LR: 0.100000
Training Epoch: 3 [20480/46250]	Loss: 1.0831	LR: 0.100000
Training Epoch: 3 [20736/46250]	Loss: 0.9720	LR: 0.100000
Training Epoch: 3 [20992/46250]	Loss: 0.9521	LR: 0.100000
Training Epoch: 3 [21248/46250]	Loss: 0.9687	LR: 0.100000
Training Epoch: 3 [21504/46250]	Loss: 1.0930	LR: 0.100000
Training Epoch: 3 [21760/46250]	Loss: 0.9630	LR: 0.100000
Training Epoch: 3 [22016/46250]	Loss: 0.9947	LR: 0.100000
Training Epoch: 3 [22272/46250]	Loss: 0.8756	LR: 0.100000
Training Epoch: 3 [22528/46250]	Loss: 0.8838	LR: 0.100000
Training Epoch: 3 [22784/46250]	Loss: 1.0023	LR: 0.100000
Training Epoch: 3 [23040/46250]	Loss: 0.9096	LR: 0.100000
Training Epoch: 3 [23296/46250]	Loss: 0.9074	LR: 0.100000
Training Epoch: 3 [23552/46250]	Loss: 0.9900	LR: 0.100000
Training Epoch: 3 [23808/46250]	Loss: 1.0048	LR: 0.100000
Training Epoch: 3 [24064/46250]	Loss: 0.9921	LR: 0.100000
Training Epoch: 3 [24320/46250]	Loss: 0.9655	LR: 0.100000
Training Epoch: 3 [24576/46250]	Loss: 0.8595	LR: 0.100000
Training Epoch: 3 [24832/46250]	Loss: 0.9044	LR: 0.100000
Training Epoch: 3 [25088/46250]	Loss: 0.8225	LR: 0.100000
Training Epoch: 3 [25344/46250]	Loss: 0.9488	LR: 0.100000
Training Epoch: 3 [25600/46250]	Loss: 0.9749	LR: 0.100000
Training Epoch: 3 [25856/46250]	Loss: 0.8454	LR: 0.100000
Training Epoch: 3 [26112/46250]	Loss: 0.9429	LR: 0.100000
Training Epoch: 3 [26368/46250]	Loss: 1.0447	LR: 0.100000
Training Epoch: 3 [26624/46250]	Loss: 1.0726	LR: 0.100000
Training Epoch: 3 [26880/46250]	Loss: 1.0375	LR: 0.100000
Training Epoch: 3 [27136/46250]	Loss: 0.9432	LR: 0.100000
Training Epoch: 3 [27392/46250]	Loss: 0.8557	LR: 0.100000
Training Epoch: 3 [27648/46250]	Loss: 0.9591	LR: 0.100000
Training Epoch: 3 [27904/46250]	Loss: 1.0727	LR: 0.100000
Training Epoch: 3 [28160/46250]	Loss: 1.0130	LR: 0.100000
Training Epoch: 3 [28416/46250]	Loss: 0.8863	LR: 0.100000
Training Epoch: 3 [28672/46250]	Loss: 0.8360	LR: 0.100000
Training Epoch: 3 [28928/46250]	Loss: 0.9049	LR: 0.100000
Training Epoch: 3 [29184/46250]	Loss: 0.9770	LR: 0.100000
Training Epoch: 3 [29440/46250]	Loss: 0.8161	LR: 0.100000
Training Epoch: 3 [29696/46250]	Loss: 0.9643	LR: 0.100000
Training Epoch: 3 [29952/46250]	Loss: 0.8616	LR: 0.100000
Training Epoch: 3 [30208/46250]	Loss: 0.8918	LR: 0.100000
Training Epoch: 3 [30464/46250]	Loss: 0.9041	LR: 0.100000
Training Epoch: 3 [30720/46250]	Loss: 0.9977	LR: 0.100000
Training Epoch: 3 [30976/46250]	Loss: 0.9373	LR: 0.100000
Training Epoch: 3 [31232/46250]	Loss: 0.9647	LR: 0.100000
Training Epoch: 3 [31488/46250]	Loss: 0.8704	LR: 0.100000
Training Epoch: 3 [31744/46250]	Loss: 0.9827	LR: 0.100000
Training Epoch: 3 [32000/46250]	Loss: 0.8760	LR: 0.100000
Training Epoch: 3 [32256/46250]	Loss: 0.9982	LR: 0.100000
Training Epoch: 3 [32512/46250]	Loss: 0.9025	LR: 0.100000
Training Epoch: 3 [32768/46250]	Loss: 0.8598	LR: 0.100000
Training Epoch: 3 [33024/46250]	Loss: 0.9972	LR: 0.100000
Training Epoch: 3 [33280/46250]	Loss: 0.9191	LR: 0.100000
Training Epoch: 3 [33536/46250]	Loss: 0.9070	LR: 0.100000
Training Epoch: 3 [33792/46250]	Loss: 0.9185	LR: 0.100000
Training Epoch: 3 [34048/46250]	Loss: 0.9639	LR: 0.100000
Training Epoch: 3 [34304/46250]	Loss: 0.9381	LR: 0.100000
Training Epoch: 3 [34560/46250]	Loss: 0.9426	LR: 0.100000
Training Epoch: 3 [34816/46250]	Loss: 0.9445	LR: 0.100000
Training Epoch: 3 [35072/46250]	Loss: 0.8968	LR: 0.100000
Training Epoch: 3 [35328/46250]	Loss: 0.9726	LR: 0.100000
Training Epoch: 3 [35584/46250]	Loss: 0.9386	LR: 0.100000
Training Epoch: 3 [35840/46250]	Loss: 0.9261	LR: 0.100000
Training Epoch: 3 [36096/46250]	Loss: 0.8692	LR: 0.100000
Training Epoch: 3 [36352/46250]	Loss: 0.8887	LR: 0.100000
Training Epoch: 3 [36608/46250]	Loss: 0.8826	LR: 0.100000
Training Epoch: 3 [36864/46250]	Loss: 0.9402	LR: 0.100000
Training Epoch: 3 [37120/46250]	Loss: 0.9271	LR: 0.100000
Training Epoch: 3 [37376/46250]	Loss: 0.9195	LR: 0.100000
Training Epoch: 3 [37632/46250]	Loss: 0.8210	LR: 0.100000
Training Epoch: 3 [37888/46250]	Loss: 0.9573	LR: 0.100000
Training Epoch: 3 [38144/46250]	Loss: 0.9867	LR: 0.100000
Training Epoch: 3 [38400/46250]	Loss: 1.0163	LR: 0.100000
Training Epoch: 3 [38656/46250]	Loss: 0.9510	LR: 0.100000
Training Epoch: 3 [38912/46250]	Loss: 1.0241	LR: 0.100000
Training Epoch: 3 [39168/46250]	Loss: 0.7578	LR: 0.100000
Training Epoch: 3 [39424/46250]	Loss: 0.9446	LR: 0.100000
Training Epoch: 3 [39680/46250]	Loss: 0.8411	LR: 0.100000
Training Epoch: 3 [39936/46250]	Loss: 0.9592	LR: 0.100000
Training Epoch: 3 [40192/46250]	Loss: 0.8542	LR: 0.100000
Training Epoch: 3 [40448/46250]	Loss: 0.9698	LR: 0.100000
Training Epoch: 3 [40704/46250]	Loss: 0.9892	LR: 0.100000
Training Epoch: 3 [40960/46250]	Loss: 0.9843	LR: 0.100000
Training Epoch: 3 [41216/46250]	Loss: 0.9042	LR: 0.100000
Training Epoch: 3 [41472/46250]	Loss: 0.8694	LR: 0.100000
Training Epoch: 3 [41728/46250]	Loss: 0.8733	LR: 0.100000
Training Epoch: 3 [41984/46250]	Loss: 0.8591	LR: 0.100000
Training Epoch: 3 [42240/46250]	Loss: 0.8987	LR: 0.100000
Training Epoch: 3 [42496/46250]	Loss: 0.8301	LR: 0.100000
Training Epoch: 3 [42752/46250]	Loss: 0.8456	LR: 0.100000
Training Epoch: 3 [43008/46250]	Loss: 0.8555	LR: 0.100000
Training Epoch: 3 [43264/46250]	Loss: 0.8952	LR: 0.100000
Training Epoch: 3 [43520/46250]	Loss: 0.8765	LR: 0.100000
Training Epoch: 3 [43776/46250]	Loss: 0.9048	LR: 0.100000
Training Epoch: 3 [44032/46250]	Loss: 1.1173	LR: 0.100000
Training Epoch: 3 [44288/46250]	Loss: 1.0062	LR: 0.100000
Training Epoch: 3 [44544/46250]	Loss: 0.7524	LR: 0.100000
Training Epoch: 3 [44800/46250]	Loss: 0.7979	LR: 0.100000
Training Epoch: 3 [45056/46250]	Loss: 0.8994	LR: 0.100000
Training Epoch: 3 [45312/46250]	Loss: 1.0166	LR: 0.100000
Training Epoch: 3 [45568/46250]	Loss: 0.9455	LR: 0.100000
Training Epoch: 3 [45824/46250]	Loss: 0.7959	LR: 0.100000
Training Epoch: 3 [46080/46250]	Loss: 0.7845	LR: 0.100000
Training Epoch: 3 [46250/46250]	Loss: 0.8458	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9619, Train Accuracy: 0.6582
Epoch 3 training time consumed: 27.99s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0039, Accuracy: 0.6658, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8417	LR: 0.100000
Training Epoch: 4 [512/46250]	Loss: 0.8553	LR: 0.100000
Training Epoch: 4 [768/46250]	Loss: 0.9258	LR: 0.100000
Training Epoch: 4 [1024/46250]	Loss: 0.9415	LR: 0.100000
Training Epoch: 4 [1280/46250]	Loss: 0.8672	LR: 0.100000
Training Epoch: 4 [1536/46250]	Loss: 0.8896	LR: 0.100000
Training Epoch: 4 [1792/46250]	Loss: 0.8258	LR: 0.100000
Training Epoch: 4 [2048/46250]	Loss: 0.8355	LR: 0.100000
Training Epoch: 4 [2304/46250]	Loss: 0.7716	LR: 0.100000
Training Epoch: 4 [2560/46250]	Loss: 0.8562	LR: 0.100000
Training Epoch: 4 [2816/46250]	Loss: 0.8496	LR: 0.100000
Training Epoch: 4 [3072/46250]	Loss: 0.8570	LR: 0.100000
Training Epoch: 4 [3328/46250]	Loss: 0.8381	LR: 0.100000
Training Epoch: 4 [3584/46250]	Loss: 0.7450	LR: 0.100000
Training Epoch: 4 [3840/46250]	Loss: 0.8179	LR: 0.100000
Training Epoch: 4 [4096/46250]	Loss: 0.9584	LR: 0.100000
Training Epoch: 4 [4352/46250]	Loss: 0.7770	LR: 0.100000
Training Epoch: 4 [4608/46250]	Loss: 0.8821	LR: 0.100000
Training Epoch: 4 [4864/46250]	Loss: 0.8305	LR: 0.100000
Training Epoch: 4 [5120/46250]	Loss: 0.9085	LR: 0.100000
Training Epoch: 4 [5376/46250]	Loss: 0.7630	LR: 0.100000
Training Epoch: 4 [5632/46250]	Loss: 0.8445	LR: 0.100000
Training Epoch: 4 [5888/46250]	Loss: 0.7997	LR: 0.100000
Training Epoch: 4 [6144/46250]	Loss: 0.9580	LR: 0.100000
Training Epoch: 4 [6400/46250]	Loss: 0.8069	LR: 0.100000
Training Epoch: 4 [6656/46250]	Loss: 0.8397	LR: 0.100000
Training Epoch: 4 [6912/46250]	Loss: 0.8773	LR: 0.100000
Training Epoch: 4 [7168/46250]	Loss: 0.8105	LR: 0.100000
Training Epoch: 4 [7424/46250]	Loss: 0.8150	LR: 0.100000
Training Epoch: 4 [7680/46250]	Loss: 0.8254	LR: 0.100000
Training Epoch: 4 [7936/46250]	Loss: 0.7015	LR: 0.100000
Training Epoch: 4 [8192/46250]	Loss: 0.9050	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 0.8160	LR: 0.100000
Training Epoch: 4 [8704/46250]	Loss: 0.8946	LR: 0.100000
Training Epoch: 4 [8960/46250]	Loss: 0.7499	LR: 0.100000
Training Epoch: 4 [9216/46250]	Loss: 0.8329	LR: 0.100000
Training Epoch: 4 [9472/46250]	Loss: 0.9112	LR: 0.100000
Training Epoch: 4 [9728/46250]	Loss: 0.8594	LR: 0.100000
Training Epoch: 4 [9984/46250]	Loss: 0.8497	LR: 0.100000
Training Epoch: 4 [10240/46250]	Loss: 0.8438	LR: 0.100000
Training Epoch: 4 [10496/46250]	Loss: 0.8942	LR: 0.100000
Training Epoch: 4 [10752/46250]	Loss: 0.8667	LR: 0.100000
Training Epoch: 4 [11008/46250]	Loss: 0.8070	LR: 0.100000
Training Epoch: 4 [11264/46250]	Loss: 0.8865	LR: 0.100000
Training Epoch: 4 [11520/46250]	Loss: 0.9415	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.8684	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.7473	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.8264	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.8597	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.7857	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.8875	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.9440	LR: 0.100000
Training Epoch: 4 [13568/46250]	Loss: 0.8466	LR: 0.100000
Training Epoch: 4 [13824/46250]	Loss: 0.8678	LR: 0.100000
Training Epoch: 4 [14080/46250]	Loss: 0.8687	LR: 0.100000
Training Epoch: 4 [14336/46250]	Loss: 0.7358	LR: 0.100000
Training Epoch: 4 [14592/46250]	Loss: 0.8444	LR: 0.100000
Training Epoch: 4 [14848/46250]	Loss: 0.8216	LR: 0.100000
Training Epoch: 4 [15104/46250]	Loss: 0.7621	LR: 0.100000
Training Epoch: 4 [15360/46250]	Loss: 0.7857	LR: 0.100000
Training Epoch: 4 [15616/46250]	Loss: 0.7479	LR: 0.100000
Training Epoch: 4 [15872/46250]	Loss: 0.8831	LR: 0.100000
Training Epoch: 4 [16128/46250]	Loss: 0.8713	LR: 0.100000
Training Epoch: 4 [16384/46250]	Loss: 0.7874	LR: 0.100000
Training Epoch: 4 [16640/46250]	Loss: 0.7458	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.9634	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.8159	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.8503	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.7985	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.7465	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.7297	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.7634	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.9059	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.9178	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.7433	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.8832	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.7729	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.7830	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.7008	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.7568	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.8342	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.7508	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.9360	LR: 0.100000
Training Epoch: 4 [21504/46250]	Loss: 0.7398	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.8770	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.7858	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.7294	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.8798	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.7950	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.8927	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.7529	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.8103	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.8868	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.8999	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.8460	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.7974	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.9413	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.8558	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.8306	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.8395	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.7247	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.7670	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.9116	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.7546	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.7915	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.7227	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.7936	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.7807	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.7521	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.6910	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.8518	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.7978	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.7539	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.8126	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.7522	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.8564	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.6591	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.7345	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.8956	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.8094	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.7024	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.8107	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.8011	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.7707	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.6896	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.7358	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.8127	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.8608	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.8190	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.8620	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.8676	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.7215	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.7818	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.7462	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.9785	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.8107	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.7653	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.7389	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.8933	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.7639	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.7558	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.8306	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.6892	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.8238	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.6915	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.8951	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.9567	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.7372	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.8430	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.7588	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.7871	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.9393	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.7897	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.7428	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.7627	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.9098	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.7343	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.8323	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.8315	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.6876	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.6867	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.7573	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.6608	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.7486	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.7780	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.7093	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.8112	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.7754	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.8083	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.6595	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.8429	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.7359	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.7544	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.8911	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.7816	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.7538	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.8655	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.9053	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.7355	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.7667	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.6617	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8130, Train Accuracy: 0.7131
Epoch 4 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7195, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-4-best.pth
Training Epoch: 5 [256/46250]	Loss: 0.7265	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.7491	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.7798	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.7234	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.7753	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.7321	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.7504	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.6468	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.7959	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.6890	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.6577	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.6481	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.6300	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.7512	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.6617	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.7880	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.7496	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.6541	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.7757	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.6141	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.7938	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.8109	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.7785	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.7907	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.6586	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.6110	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.5988	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.6195	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.7865	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.7685	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.6245	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.7362	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.8523	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.7499	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.7231	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.7832	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.8010	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.6736	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.8717	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.7601	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.6801	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.6177	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.5471	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.7496	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.7822	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.7229	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.8090	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.6968	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.6850	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.6577	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.8549	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.7757	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.7667	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.6885	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.5867	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.6657	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.6562	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.7441	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.7347	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.7279	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.6392	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.7121	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.6979	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.7964	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.6991	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.7603	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.6237	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.6846	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.6616	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.7493	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.6569	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.6350	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.7003	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.7266	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.8571	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.6962	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.6639	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.7450	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.7268	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.6966	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.8033	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.5722	LR: 0.100000
Training Epoch: 5 [21248/46250]	Loss: 0.8219	LR: 0.100000
Training Epoch: 5 [21504/46250]	Loss: 0.6909	LR: 0.100000
Training Epoch: 5 [21760/46250]	Loss: 0.8513	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.7998	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.7145	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.7326	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.6516	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.7485	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.7973	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.8536	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.7059	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.5742	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.6910	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.7839	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.8107	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.8714	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.8300	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.6406	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.6736	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.6938	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.6635	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.7178	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.6976	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.7085	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.7466	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.7098	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.6439	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.7120	LR: 0.100000
Training Epoch: 5 [28416/46250]	Loss: 0.7488	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.6277	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.5775	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.6520	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.7451	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.6736	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.7014	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.6138	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.6812	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.8396	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.6605	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.6985	LR: 0.100000
Training Epoch: 5 [31488/46250]	Loss: 0.5457	LR: 0.100000
Training Epoch: 5 [31744/46250]	Loss: 0.6796	LR: 0.100000
Training Epoch: 5 [32000/46250]	Loss: 0.6915	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.6682	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.6434	LR: 0.100000
Training Epoch: 5 [32768/46250]	Loss: 0.7488	LR: 0.100000
Training Epoch: 5 [33024/46250]	Loss: 0.6595	LR: 0.100000
Training Epoch: 5 [33280/46250]	Loss: 0.6788	LR: 0.100000
Training Epoch: 5 [33536/46250]	Loss: 0.8147	LR: 0.100000
Training Epoch: 5 [33792/46250]	Loss: 0.6709	LR: 0.100000
Training Epoch: 5 [34048/46250]	Loss: 0.7094	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.6121	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.7094	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.6609	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.7790	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.7331	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.8038	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.5268	LR: 0.100000
Training Epoch: 5 [36096/46250]	Loss: 0.8419	LR: 0.100000
Training Epoch: 5 [36352/46250]	Loss: 0.6751	LR: 0.100000
Training Epoch: 5 [36608/46250]	Loss: 0.6599	LR: 0.100000
Training Epoch: 5 [36864/46250]	Loss: 0.6222	LR: 0.100000
Training Epoch: 5 [37120/46250]	Loss: 0.7433	LR: 0.100000
Training Epoch: 5 [37376/46250]	Loss: 0.6440	LR: 0.100000
Training Epoch: 5 [37632/46250]	Loss: 0.7841	LR: 0.100000
Training Epoch: 5 [37888/46250]	Loss: 0.7664	LR: 0.100000
Training Epoch: 5 [38144/46250]	Loss: 0.6873	LR: 0.100000
Training Epoch: 5 [38400/46250]	Loss: 0.6576	LR: 0.100000
Training Epoch: 5 [38656/46250]	Loss: 0.7700	LR: 0.100000
Training Epoch: 5 [38912/46250]	Loss: 0.7156	LR: 0.100000
Training Epoch: 5 [39168/46250]	Loss: 0.7503	LR: 0.100000
Training Epoch: 5 [39424/46250]	Loss: 0.6991	LR: 0.100000
Training Epoch: 5 [39680/46250]	Loss: 0.6893	LR: 0.100000
Training Epoch: 5 [39936/46250]	Loss: 0.6217	LR: 0.100000
Training Epoch: 5 [40192/46250]	Loss: 0.6452	LR: 0.100000
Training Epoch: 5 [40448/46250]	Loss: 0.5379	LR: 0.100000
Training Epoch: 5 [40704/46250]	Loss: 0.7536	LR: 0.100000
Training Epoch: 5 [40960/46250]	Loss: 0.7398	LR: 0.100000
Training Epoch: 5 [41216/46250]	Loss: 0.6130	LR: 0.100000
Training Epoch: 5 [41472/46250]	Loss: 0.7386	LR: 0.100000
Training Epoch: 5 [41728/46250]	Loss: 0.7719	LR: 0.100000
Training Epoch: 5 [41984/46250]	Loss: 0.7354	LR: 0.100000
Training Epoch: 5 [42240/46250]	Loss: 0.7731	LR: 0.100000
Training Epoch: 5 [42496/46250]	Loss: 0.8538	LR: 0.100000
Training Epoch: 5 [42752/46250]	Loss: 0.5871	LR: 0.100000
Training Epoch: 5 [43008/46250]	Loss: 0.5850	LR: 0.100000
Training Epoch: 5 [43264/46250]	Loss: 0.7402	LR: 0.100000
Training Epoch: 5 [43520/46250]	Loss: 0.7434	LR: 0.100000
Training Epoch: 5 [43776/46250]	Loss: 0.6406	LR: 0.100000
Training Epoch: 5 [44032/46250]	Loss: 0.7700	LR: 0.100000
Training Epoch: 5 [44288/46250]	Loss: 0.6572	LR: 0.100000
Training Epoch: 5 [44544/46250]	Loss: 0.6940	LR: 0.100000
Training Epoch: 5 [44800/46250]	Loss: 0.6900	LR: 0.100000
Training Epoch: 5 [45056/46250]	Loss: 0.5015	LR: 0.100000
Training Epoch: 5 [45312/46250]	Loss: 0.7022	LR: 0.100000
Training Epoch: 5 [45568/46250]	Loss: 0.6634	LR: 0.100000
Training Epoch: 5 [45824/46250]	Loss: 0.8047	LR: 0.100000
Training Epoch: 5 [46080/46250]	Loss: 0.6490	LR: 0.100000
Training Epoch: 5 [46250/46250]	Loss: 0.5861	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7093, Train Accuracy: 0.7506
Epoch 5 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0027, Accuracy: 0.7707, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6219	LR: 0.100000
Training Epoch: 6 [512/46250]	Loss: 0.6473	LR: 0.100000
Training Epoch: 6 [768/46250]	Loss: 0.7553	LR: 0.100000
Training Epoch: 6 [1024/46250]	Loss: 0.6389	LR: 0.100000
Training Epoch: 6 [1280/46250]	Loss: 0.5279	LR: 0.100000
Training Epoch: 6 [1536/46250]	Loss: 0.7226	LR: 0.100000
Training Epoch: 6 [1792/46250]	Loss: 0.7671	LR: 0.100000
Training Epoch: 6 [2048/46250]	Loss: 0.7354	LR: 0.100000
Training Epoch: 6 [2304/46250]	Loss: 0.6991	LR: 0.100000
Training Epoch: 6 [2560/46250]	Loss: 0.5574	LR: 0.100000
Training Epoch: 6 [2816/46250]	Loss: 0.6196	LR: 0.100000
Training Epoch: 6 [3072/46250]	Loss: 0.7390	LR: 0.100000
Training Epoch: 6 [3328/46250]	Loss: 0.6152	LR: 0.100000
Training Epoch: 6 [3584/46250]	Loss: 0.6212	LR: 0.100000
Training Epoch: 6 [3840/46250]	Loss: 0.6228	LR: 0.100000
Training Epoch: 6 [4096/46250]	Loss: 0.6725	LR: 0.100000
Training Epoch: 6 [4352/46250]	Loss: 0.7523	LR: 0.100000
Training Epoch: 6 [4608/46250]	Loss: 0.6380	LR: 0.100000
Training Epoch: 6 [4864/46250]	Loss: 0.6120	LR: 0.100000
Training Epoch: 6 [5120/46250]	Loss: 0.6342	LR: 0.100000
Training Epoch: 6 [5376/46250]	Loss: 0.6930	LR: 0.100000
Training Epoch: 6 [5632/46250]	Loss: 0.6101	LR: 0.100000
Training Epoch: 6 [5888/46250]	Loss: 0.6873	LR: 0.100000
Training Epoch: 6 [6144/46250]	Loss: 0.6668	LR: 0.100000
Training Epoch: 6 [6400/46250]	Loss: 0.8164	LR: 0.100000
Training Epoch: 6 [6656/46250]	Loss: 0.5762	LR: 0.100000
Training Epoch: 6 [6912/46250]	Loss: 0.7287	LR: 0.100000
Training Epoch: 6 [7168/46250]	Loss: 0.6572	LR: 0.100000
Training Epoch: 6 [7424/46250]	Loss: 0.7487	LR: 0.100000
Training Epoch: 6 [7680/46250]	Loss: 0.7334	LR: 0.100000
Training Epoch: 6 [7936/46250]	Loss: 0.6755	LR: 0.100000
Training Epoch: 6 [8192/46250]	Loss: 0.7697	LR: 0.100000
Training Epoch: 6 [8448/46250]	Loss: 0.6999	LR: 0.100000
Training Epoch: 6 [8704/46250]	Loss: 0.6264	LR: 0.100000
Training Epoch: 6 [8960/46250]	Loss: 0.6483	LR: 0.100000
Training Epoch: 6 [9216/46250]	Loss: 0.5466	LR: 0.100000
Training Epoch: 6 [9472/46250]	Loss: 0.6380	LR: 0.100000
Training Epoch: 6 [9728/46250]	Loss: 0.5994	LR: 0.100000
Training Epoch: 6 [9984/46250]	Loss: 0.6452	LR: 0.100000
Training Epoch: 6 [10240/46250]	Loss: 0.9286	LR: 0.100000
Training Epoch: 6 [10496/46250]	Loss: 0.6300	LR: 0.100000
Training Epoch: 6 [10752/46250]	Loss: 0.5302	LR: 0.100000
Training Epoch: 6 [11008/46250]	Loss: 0.7102	LR: 0.100000
Training Epoch: 6 [11264/46250]	Loss: 0.6115	LR: 0.100000
Training Epoch: 6 [11520/46250]	Loss: 0.7216	LR: 0.100000
Training Epoch: 6 [11776/46250]	Loss: 0.8010	LR: 0.100000
Training Epoch: 6 [12032/46250]	Loss: 0.6609	LR: 0.100000
Training Epoch: 6 [12288/46250]	Loss: 0.5853	LR: 0.100000
Training Epoch: 6 [12544/46250]	Loss: 0.7560	LR: 0.100000
Training Epoch: 6 [12800/46250]	Loss: 0.6067	LR: 0.100000
Training Epoch: 6 [13056/46250]	Loss: 0.7139	LR: 0.100000
Training Epoch: 6 [13312/46250]	Loss: 0.6823	LR: 0.100000
Training Epoch: 6 [13568/46250]	Loss: 0.6760	LR: 0.100000
Training Epoch: 6 [13824/46250]	Loss: 0.6470	LR: 0.100000
Training Epoch: 6 [14080/46250]	Loss: 0.6702	LR: 0.100000
Training Epoch: 6 [14336/46250]	Loss: 0.6383	LR: 0.100000
Training Epoch: 6 [14592/46250]	Loss: 0.7303	LR: 0.100000
Training Epoch: 6 [14848/46250]	Loss: 0.7551	LR: 0.100000
Training Epoch: 6 [15104/46250]	Loss: 0.7072	LR: 0.100000
Training Epoch: 6 [15360/46250]	Loss: 0.7640	LR: 0.100000
Training Epoch: 6 [15616/46250]	Loss: 0.6398	LR: 0.100000
Training Epoch: 6 [15872/46250]	Loss: 0.7603	LR: 0.100000
Training Epoch: 6 [16128/46250]	Loss: 0.6755	LR: 0.100000
Training Epoch: 6 [16384/46250]	Loss: 0.6530	LR: 0.100000
Training Epoch: 6 [16640/46250]	Loss: 0.7307	LR: 0.100000
Training Epoch: 6 [16896/46250]	Loss: 0.5814	LR: 0.100000
Training Epoch: 6 [17152/46250]	Loss: 0.6906	LR: 0.100000
Training Epoch: 6 [17408/46250]	Loss: 0.6020	LR: 0.100000
Training Epoch: 6 [17664/46250]	Loss: 0.5892	LR: 0.100000
Training Epoch: 6 [17920/46250]	Loss: 0.7066	LR: 0.100000
Training Epoch: 6 [18176/46250]	Loss: 0.7354	LR: 0.100000
Training Epoch: 6 [18432/46250]	Loss: 0.5642	LR: 0.100000
Training Epoch: 6 [18688/46250]	Loss: 0.7003	LR: 0.100000
Training Epoch: 6 [18944/46250]	Loss: 0.6440	LR: 0.100000
Training Epoch: 6 [19200/46250]	Loss: 0.6193	LR: 0.100000
Training Epoch: 6 [19456/46250]	Loss: 0.5962	LR: 0.100000
Training Epoch: 6 [19712/46250]	Loss: 0.6018	LR: 0.100000
Training Epoch: 6 [19968/46250]	Loss: 0.6865	LR: 0.100000
Training Epoch: 6 [20224/46250]	Loss: 0.6809	LR: 0.100000
Training Epoch: 6 [20480/46250]	Loss: 0.6409	LR: 0.100000
Training Epoch: 6 [20736/46250]	Loss: 0.6300	LR: 0.100000
Training Epoch: 6 [20992/46250]	Loss: 0.5572	LR: 0.100000
Training Epoch: 6 [21248/46250]	Loss: 0.5540	LR: 0.100000
Training Epoch: 6 [21504/46250]	Loss: 0.5931	LR: 0.100000
Training Epoch: 6 [21760/46250]	Loss: 0.7597	LR: 0.100000
Training Epoch: 6 [22016/46250]	Loss: 0.6872	LR: 0.100000
Training Epoch: 6 [22272/46250]	Loss: 0.6880	LR: 0.100000
Training Epoch: 6 [22528/46250]	Loss: 0.7033	LR: 0.100000
Training Epoch: 6 [22784/46250]	Loss: 0.6655	LR: 0.100000
Training Epoch: 6 [23040/46250]	Loss: 0.5642	LR: 0.100000
Training Epoch: 6 [23296/46250]	Loss: 0.6557	LR: 0.100000
Training Epoch: 6 [23552/46250]	Loss: 0.6640	LR: 0.100000
Training Epoch: 6 [23808/46250]	Loss: 0.6505	LR: 0.100000
Training Epoch: 6 [24064/46250]	Loss: 0.5918	LR: 0.100000
Training Epoch: 6 [24320/46250]	Loss: 0.6545	LR: 0.100000
Training Epoch: 6 [24576/46250]	Loss: 0.6993	LR: 0.100000
Training Epoch: 6 [24832/46250]	Loss: 0.7636	LR: 0.100000
Training Epoch: 6 [25088/46250]	Loss: 0.6608	LR: 0.100000
Training Epoch: 6 [25344/46250]	Loss: 0.6534	LR: 0.100000
Training Epoch: 6 [25600/46250]	Loss: 0.5652	LR: 0.100000
Training Epoch: 6 [25856/46250]	Loss: 0.7144	LR: 0.100000
Training Epoch: 6 [26112/46250]	Loss: 0.7208	LR: 0.100000
Training Epoch: 6 [26368/46250]	Loss: 0.6646	LR: 0.100000
Training Epoch: 6 [26624/46250]	Loss: 0.6921	LR: 0.100000
Training Epoch: 6 [26880/46250]	Loss: 0.6711	LR: 0.100000
Training Epoch: 6 [27136/46250]	Loss: 0.6765	LR: 0.100000
Training Epoch: 6 [27392/46250]	Loss: 0.5852	LR: 0.100000
Training Epoch: 6 [27648/46250]	Loss: 0.6432	LR: 0.100000
Training Epoch: 6 [27904/46250]	Loss: 0.5830	LR: 0.100000
Training Epoch: 6 [28160/46250]	Loss: 0.6271	LR: 0.100000
Training Epoch: 6 [28416/46250]	Loss: 0.6212	LR: 0.100000
Training Epoch: 6 [28672/46250]	Loss: 0.6673	LR: 0.100000
Training Epoch: 6 [28928/46250]	Loss: 0.6226	LR: 0.100000
Training Epoch: 6 [29184/46250]	Loss: 0.5522	LR: 0.100000
Training Epoch: 6 [29440/46250]	Loss: 0.6960	LR: 0.100000
Training Epoch: 6 [29696/46250]	Loss: 0.7032	LR: 0.100000
Training Epoch: 6 [29952/46250]	Loss: 0.5915	LR: 0.100000
Training Epoch: 6 [30208/46250]	Loss: 0.6468	LR: 0.100000
Training Epoch: 6 [30464/46250]	Loss: 0.6222	LR: 0.100000
Training Epoch: 6 [30720/46250]	Loss: 0.7083	LR: 0.100000
Training Epoch: 6 [30976/46250]	Loss: 0.6346	LR: 0.100000
Training Epoch: 6 [31232/46250]	Loss: 0.5489	LR: 0.100000
Training Epoch: 6 [31488/46250]	Loss: 0.6493	LR: 0.100000
Training Epoch: 6 [31744/46250]	Loss: 0.6113	LR: 0.100000
Training Epoch: 6 [32000/46250]	Loss: 0.7207	LR: 0.100000
Training Epoch: 6 [32256/46250]	Loss: 0.6650	LR: 0.100000
Training Epoch: 6 [32512/46250]	Loss: 0.5607	LR: 0.100000
Training Epoch: 6 [32768/46250]	Loss: 0.5945	LR: 0.100000
Training Epoch: 6 [33024/46250]	Loss: 0.6580	LR: 0.100000
Training Epoch: 6 [33280/46250]	Loss: 0.6582	LR: 0.100000
Training Epoch: 6 [33536/46250]	Loss: 0.7192	LR: 0.100000
Training Epoch: 6 [33792/46250]	Loss: 0.6622	LR: 0.100000
Training Epoch: 6 [34048/46250]	Loss: 0.5500	LR: 0.100000
Training Epoch: 6 [34304/46250]	Loss: 0.8242	LR: 0.100000
Training Epoch: 6 [34560/46250]	Loss: 0.6753	LR: 0.100000
Training Epoch: 6 [34816/46250]	Loss: 0.7080	LR: 0.100000
Training Epoch: 6 [35072/46250]	Loss: 0.7336	LR: 0.100000
Training Epoch: 6 [35328/46250]	Loss: 0.6793	LR: 0.100000
Training Epoch: 6 [35584/46250]	Loss: 0.6638	LR: 0.100000
Training Epoch: 6 [35840/46250]	Loss: 0.6938	LR: 0.100000
Training Epoch: 6 [36096/46250]	Loss: 0.5446	LR: 0.100000
Training Epoch: 6 [36352/46250]	Loss: 0.6472	LR: 0.100000
Training Epoch: 6 [36608/46250]	Loss: 0.5523	LR: 0.100000
Training Epoch: 6 [36864/46250]	Loss: 0.6631	LR: 0.100000
Training Epoch: 6 [37120/46250]	Loss: 0.6886	LR: 0.100000
Training Epoch: 6 [37376/46250]	Loss: 0.6690	LR: 0.100000
Training Epoch: 6 [37632/46250]	Loss: 0.7025	LR: 0.100000
Training Epoch: 6 [37888/46250]	Loss: 0.5801	LR: 0.100000
Training Epoch: 6 [38144/46250]	Loss: 0.7103	LR: 0.100000
Training Epoch: 6 [38400/46250]	Loss: 0.6738	LR: 0.100000
Training Epoch: 6 [38656/46250]	Loss: 0.6561	LR: 0.100000
Training Epoch: 6 [38912/46250]	Loss: 0.6842	LR: 0.100000
Training Epoch: 6 [39168/46250]	Loss: 0.6327	LR: 0.100000
Training Epoch: 6 [39424/46250]	Loss: 0.6377	LR: 0.100000
Training Epoch: 6 [39680/46250]	Loss: 0.5389	LR: 0.100000
Training Epoch: 6 [39936/46250]	Loss: 0.7044	LR: 0.100000
Training Epoch: 6 [40192/46250]	Loss: 0.7549	LR: 0.100000
Training Epoch: 6 [40448/46250]	Loss: 0.6986	LR: 0.100000
Training Epoch: 6 [40704/46250]	Loss: 0.7581	LR: 0.100000
Training Epoch: 6 [40960/46250]	Loss: 0.6221	LR: 0.100000
Training Epoch: 6 [41216/46250]	Loss: 0.6216	LR: 0.100000
Training Epoch: 6 [41472/46250]	Loss: 0.5479	LR: 0.100000
Training Epoch: 6 [41728/46250]	Loss: 0.6347	LR: 0.100000
Training Epoch: 6 [41984/46250]	Loss: 0.6271	LR: 0.100000
Training Epoch: 6 [42240/46250]	Loss: 0.6547	LR: 0.100000
Training Epoch: 6 [42496/46250]	Loss: 0.6749	LR: 0.100000
Training Epoch: 6 [42752/46250]	Loss: 0.5313	LR: 0.100000
Training Epoch: 6 [43008/46250]	Loss: 0.5976	LR: 0.100000
Training Epoch: 6 [43264/46250]	Loss: 0.6935	LR: 0.100000
Training Epoch: 6 [43520/46250]	Loss: 0.5919	LR: 0.100000
Training Epoch: 6 [43776/46250]	Loss: 0.6586	LR: 0.100000
Training Epoch: 6 [44032/46250]	Loss: 0.5344	LR: 0.100000
Training Epoch: 6 [44288/46250]	Loss: 0.5047	LR: 0.100000
Training Epoch: 6 [44544/46250]	Loss: 0.5832	LR: 0.100000
Training Epoch: 6 [44800/46250]	Loss: 0.5900	LR: 0.100000
Training Epoch: 6 [45056/46250]	Loss: 0.7568	LR: 0.100000
Training Epoch: 6 [45312/46250]	Loss: 0.6273	LR: 0.100000
Training Epoch: 6 [45568/46250]	Loss: 0.5509	LR: 0.100000
Training Epoch: 6 [45824/46250]	Loss: 0.6119	LR: 0.100000
Training Epoch: 6 [46080/46250]	Loss: 0.5323	LR: 0.100000
Training Epoch: 6 [46250/46250]	Loss: 0.7118	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6559, Train Accuracy: 0.7720
Epoch 6 training time consumed: 27.76s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0029, Accuracy: 0.7553, Time consumed:0.90s
Training Epoch: 7 [256/46250]	Loss: 0.5975	LR: 0.100000
Training Epoch: 7 [512/46250]	Loss: 0.6553	LR: 0.100000
Training Epoch: 7 [768/46250]	Loss: 0.6159	LR: 0.100000
Training Epoch: 7 [1024/46250]	Loss: 0.6452	LR: 0.100000
Training Epoch: 7 [1280/46250]	Loss: 0.5223	LR: 0.100000
Training Epoch: 7 [1536/46250]	Loss: 0.7694	LR: 0.100000
Training Epoch: 7 [1792/46250]	Loss: 0.6754	LR: 0.100000
Training Epoch: 7 [2048/46250]	Loss: 0.5966	LR: 0.100000
Training Epoch: 7 [2304/46250]	Loss: 0.6239	LR: 0.100000
Training Epoch: 7 [2560/46250]	Loss: 0.5215	LR: 0.100000
Training Epoch: 7 [2816/46250]	Loss: 0.6210	LR: 0.100000
Training Epoch: 7 [3072/46250]	Loss: 0.7511	LR: 0.100000
Training Epoch: 7 [3328/46250]	Loss: 0.5953	LR: 0.100000
Training Epoch: 7 [3584/46250]	Loss: 0.6195	LR: 0.100000
Training Epoch: 7 [3840/46250]	Loss: 0.7391	LR: 0.100000
Training Epoch: 7 [4096/46250]	Loss: 0.5607	LR: 0.100000
Training Epoch: 7 [4352/46250]	Loss: 0.5580	LR: 0.100000
Training Epoch: 7 [4608/46250]	Loss: 0.5584	LR: 0.100000
Training Epoch: 7 [4864/46250]	Loss: 0.6476	LR: 0.100000
Training Epoch: 7 [5120/46250]	Loss: 0.5957	LR: 0.100000
Training Epoch: 7 [5376/46250]	Loss: 0.5658	LR: 0.100000
Training Epoch: 7 [5632/46250]	Loss: 0.5326	LR: 0.100000
Training Epoch: 7 [5888/46250]	Loss: 0.6368	LR: 0.100000
Training Epoch: 7 [6144/46250]	Loss: 0.6227	LR: 0.100000
Training Epoch: 7 [6400/46250]	Loss: 0.6074	LR: 0.100000
Training Epoch: 7 [6656/46250]	Loss: 0.5926	LR: 0.100000
Training Epoch: 7 [6912/46250]	Loss: 0.6357	LR: 0.100000
Training Epoch: 7 [7168/46250]	Loss: 0.5623	LR: 0.100000
Training Epoch: 7 [7424/46250]	Loss: 0.6604	LR: 0.100000
Training Epoch: 7 [7680/46250]	Loss: 0.5197	LR: 0.100000
Training Epoch: 7 [7936/46250]	Loss: 0.5949	LR: 0.100000
Training Epoch: 7 [8192/46250]	Loss: 0.6813	LR: 0.100000
Training Epoch: 7 [8448/46250]	Loss: 0.7072	LR: 0.100000
Training Epoch: 7 [8704/46250]	Loss: 0.6237	LR: 0.100000
Training Epoch: 7 [8960/46250]	Loss: 0.6004	LR: 0.100000
Training Epoch: 7 [9216/46250]	Loss: 0.6144	LR: 0.100000
Training Epoch: 7 [9472/46250]	Loss: 0.5822	LR: 0.100000
Training Epoch: 7 [9728/46250]	Loss: 0.5882	LR: 0.100000
Training Epoch: 7 [9984/46250]	Loss: 0.5560	LR: 0.100000
Training Epoch: 7 [10240/46250]	Loss: 0.5843	LR: 0.100000
Training Epoch: 7 [10496/46250]	Loss: 0.6424	LR: 0.100000
Training Epoch: 7 [10752/46250]	Loss: 0.7412	LR: 0.100000
Training Epoch: 7 [11008/46250]	Loss: 0.5997	LR: 0.100000
Training Epoch: 7 [11264/46250]	Loss: 0.6732	LR: 0.100000
Training Epoch: 7 [11520/46250]	Loss: 0.5765	LR: 0.100000
Training Epoch: 7 [11776/46250]	Loss: 0.7061	LR: 0.100000
Training Epoch: 7 [12032/46250]	Loss: 0.5547	LR: 0.100000
Training Epoch: 7 [12288/46250]	Loss: 0.5251	LR: 0.100000
Training Epoch: 7 [12544/46250]	Loss: 0.7788	LR: 0.100000
Training Epoch: 7 [12800/46250]	Loss: 0.4928	LR: 0.100000
Training Epoch: 7 [13056/46250]	Loss: 0.5550	LR: 0.100000
Training Epoch: 7 [13312/46250]	Loss: 0.6060	LR: 0.100000
Training Epoch: 7 [13568/46250]	Loss: 0.6946	LR: 0.100000
Training Epoch: 7 [13824/46250]	Loss: 0.5817	LR: 0.100000
Training Epoch: 7 [14080/46250]	Loss: 0.7233	LR: 0.100000
Training Epoch: 7 [14336/46250]	Loss: 0.6371	LR: 0.100000
Training Epoch: 7 [14592/46250]	Loss: 0.7241	LR: 0.100000
Training Epoch: 7 [14848/46250]	Loss: 0.7004	LR: 0.100000
Training Epoch: 7 [15104/46250]	Loss: 0.6127	LR: 0.100000
Training Epoch: 7 [15360/46250]	Loss: 0.6343	LR: 0.100000
Training Epoch: 7 [15616/46250]	Loss: 0.6262	LR: 0.100000
Training Epoch: 7 [15872/46250]	Loss: 0.5477	LR: 0.100000
Training Epoch: 7 [16128/46250]	Loss: 0.6934	LR: 0.100000
Training Epoch: 7 [16384/46250]	Loss: 0.5577	LR: 0.100000
Training Epoch: 7 [16640/46250]	Loss: 0.5994	LR: 0.100000
Training Epoch: 7 [16896/46250]	Loss: 0.5380	LR: 0.100000
Training Epoch: 7 [17152/46250]	Loss: 0.7141	LR: 0.100000
Training Epoch: 7 [17408/46250]	Loss: 0.5698	LR: 0.100000
Training Epoch: 7 [17664/46250]	Loss: 0.6028	LR: 0.100000
Training Epoch: 7 [17920/46250]	Loss: 0.5840	LR: 0.100000
Training Epoch: 7 [18176/46250]	Loss: 0.5467	LR: 0.100000
Training Epoch: 7 [18432/46250]	Loss: 0.5795	LR: 0.100000
Training Epoch: 7 [18688/46250]	Loss: 0.5527	LR: 0.100000
Training Epoch: 7 [18944/46250]	Loss: 0.5416	LR: 0.100000
Training Epoch: 7 [19200/46250]	Loss: 0.5836	LR: 0.100000
Training Epoch: 7 [19456/46250]	Loss: 0.6513	LR: 0.100000
Training Epoch: 7 [19712/46250]	Loss: 0.6324	LR: 0.100000
Training Epoch: 7 [19968/46250]	Loss: 0.5224	LR: 0.100000
Training Epoch: 7 [20224/46250]	Loss: 0.6376	LR: 0.100000
Training Epoch: 7 [20480/46250]	Loss: 0.5695	LR: 0.100000
Training Epoch: 7 [20736/46250]	Loss: 0.7049	LR: 0.100000
Training Epoch: 7 [20992/46250]	Loss: 0.5773	LR: 0.100000
Training Epoch: 7 [21248/46250]	Loss: 0.5525	LR: 0.100000
Training Epoch: 7 [21504/46250]	Loss: 0.6121	LR: 0.100000
Training Epoch: 7 [21760/46250]	Loss: 0.6877	LR: 0.100000
Training Epoch: 7 [22016/46250]	Loss: 0.5626	LR: 0.100000
Training Epoch: 7 [22272/46250]	Loss: 0.6246	LR: 0.100000
Training Epoch: 7 [22528/46250]	Loss: 0.5398	LR: 0.100000
Training Epoch: 7 [22784/46250]	Loss: 0.5352	LR: 0.100000
Training Epoch: 7 [23040/46250]	Loss: 0.5495	LR: 0.100000
Training Epoch: 7 [23296/46250]	Loss: 0.6805	LR: 0.100000
Training Epoch: 7 [23552/46250]	Loss: 0.6297	LR: 0.100000
Training Epoch: 7 [23808/46250]	Loss: 0.7110	LR: 0.100000
Training Epoch: 7 [24064/46250]	Loss: 0.6867	LR: 0.100000
Training Epoch: 7 [24320/46250]	Loss: 0.6065	LR: 0.100000
Training Epoch: 7 [24576/46250]	Loss: 0.5453	LR: 0.100000
Training Epoch: 7 [24832/46250]	Loss: 0.6974	LR: 0.100000
Training Epoch: 7 [25088/46250]	Loss: 0.6031	LR: 0.100000
Training Epoch: 7 [25344/46250]	Loss: 0.6026	LR: 0.100000
Training Epoch: 7 [25600/46250]	Loss: 0.5745	LR: 0.100000
Training Epoch: 7 [25856/46250]	Loss: 0.6711	LR: 0.100000
Training Epoch: 7 [26112/46250]	Loss: 0.5926	LR: 0.100000
Training Epoch: 7 [26368/46250]	Loss: 0.6286	LR: 0.100000
Training Epoch: 7 [26624/46250]	Loss: 0.5205	LR: 0.100000
Training Epoch: 7 [26880/46250]	Loss: 0.7167	LR: 0.100000
Training Epoch: 7 [27136/46250]	Loss: 0.6209	LR: 0.100000
Training Epoch: 7 [27392/46250]	Loss: 0.4880	LR: 0.100000
Training Epoch: 7 [27648/46250]	Loss: 0.7186	LR: 0.100000
Training Epoch: 7 [27904/46250]	Loss: 0.5788	LR: 0.100000
Training Epoch: 7 [28160/46250]	Loss: 0.4821	LR: 0.100000
Training Epoch: 7 [28416/46250]	Loss: 0.5684	LR: 0.100000
Training Epoch: 7 [28672/46250]	Loss: 0.5355	LR: 0.100000
Training Epoch: 7 [28928/46250]	Loss: 0.5785	LR: 0.100000
Training Epoch: 7 [29184/46250]	Loss: 0.6303	LR: 0.100000
Training Epoch: 7 [29440/46250]	Loss: 0.6284	LR: 0.100000
Training Epoch: 7 [29696/46250]	Loss: 0.7049	LR: 0.100000
Training Epoch: 7 [29952/46250]	Loss: 0.5968	LR: 0.100000
Training Epoch: 7 [30208/46250]	Loss: 0.6236	LR: 0.100000
Training Epoch: 7 [30464/46250]	Loss: 0.5187	LR: 0.100000
Training Epoch: 7 [30720/46250]	Loss: 0.5777	LR: 0.100000
Training Epoch: 7 [30976/46250]	Loss: 0.5983	LR: 0.100000
Training Epoch: 7 [31232/46250]	Loss: 0.6502	LR: 0.100000
Training Epoch: 7 [31488/46250]	Loss: 0.4867	LR: 0.100000
Training Epoch: 7 [31744/46250]	Loss: 0.5439	LR: 0.100000
Training Epoch: 7 [32000/46250]	Loss: 0.5844	LR: 0.100000
Training Epoch: 7 [32256/46250]	Loss: 0.6017	LR: 0.100000
Training Epoch: 7 [32512/46250]	Loss: 0.5553	LR: 0.100000
Training Epoch: 7 [32768/46250]	Loss: 0.5916	LR: 0.100000
Training Epoch: 7 [33024/46250]	Loss: 0.7489	LR: 0.100000
Training Epoch: 7 [33280/46250]	Loss: 0.5740	LR: 0.100000
Training Epoch: 7 [33536/46250]	Loss: 0.5702	LR: 0.100000
Training Epoch: 7 [33792/46250]	Loss: 0.5704	LR: 0.100000
Training Epoch: 7 [34048/46250]	Loss: 0.6204	LR: 0.100000
Training Epoch: 7 [34304/46250]	Loss: 0.5124	LR: 0.100000
Training Epoch: 7 [34560/46250]	Loss: 0.5686	LR: 0.100000
Training Epoch: 7 [34816/46250]	Loss: 0.6070	LR: 0.100000
Training Epoch: 7 [35072/46250]	Loss: 0.5865	LR: 0.100000
Training Epoch: 7 [35328/46250]	Loss: 0.6210	LR: 0.100000
Training Epoch: 7 [35584/46250]	Loss: 0.6914	LR: 0.100000
Training Epoch: 7 [35840/46250]	Loss: 0.5920	LR: 0.100000
Training Epoch: 7 [36096/46250]	Loss: 0.6082	LR: 0.100000
Training Epoch: 7 [36352/46250]	Loss: 0.4325	LR: 0.100000
Training Epoch: 7 [36608/46250]	Loss: 0.6159	LR: 0.100000
Training Epoch: 7 [36864/46250]	Loss: 0.6119	LR: 0.100000
Training Epoch: 7 [37120/46250]	Loss: 0.5684	LR: 0.100000
Training Epoch: 7 [37376/46250]	Loss: 0.5480	LR: 0.100000
Training Epoch: 7 [37632/46250]	Loss: 0.5980	LR: 0.100000
Training Epoch: 7 [37888/46250]	Loss: 0.5371	LR: 0.100000
Training Epoch: 7 [38144/46250]	Loss: 0.5831	LR: 0.100000
Training Epoch: 7 [38400/46250]	Loss: 0.6517	LR: 0.100000
Training Epoch: 7 [38656/46250]	Loss: 0.4901	LR: 0.100000
Training Epoch: 7 [38912/46250]	Loss: 0.4657	LR: 0.100000
Training Epoch: 7 [39168/46250]	Loss: 0.5933	LR: 0.100000
Training Epoch: 7 [39424/46250]	Loss: 0.6190	LR: 0.100000
Training Epoch: 7 [39680/46250]	Loss: 0.4965	LR: 0.100000
Training Epoch: 7 [39936/46250]	Loss: 0.6277	LR: 0.100000
Training Epoch: 7 [40192/46250]	Loss: 0.5358	LR: 0.100000
Training Epoch: 7 [40448/46250]	Loss: 0.5561	LR: 0.100000
Training Epoch: 7 [40704/46250]	Loss: 0.5537	LR: 0.100000
Training Epoch: 7 [40960/46250]	Loss: 0.5390	LR: 0.100000
Training Epoch: 7 [41216/46250]	Loss: 0.6160	LR: 0.100000
Training Epoch: 7 [41472/46250]	Loss: 0.6398	LR: 0.100000
Training Epoch: 7 [41728/46250]	Loss: 0.6122	LR: 0.100000
Training Epoch: 7 [41984/46250]	Loss: 0.5279	LR: 0.100000
Training Epoch: 7 [42240/46250]	Loss: 0.5716	LR: 0.100000
Training Epoch: 7 [42496/46250]	Loss: 0.5891	LR: 0.100000
Training Epoch: 7 [42752/46250]	Loss: 0.5641	LR: 0.100000
Training Epoch: 7 [43008/46250]	Loss: 0.7281	LR: 0.100000
Training Epoch: 7 [43264/46250]	Loss: 0.6029	LR: 0.100000
Training Epoch: 7 [43520/46250]	Loss: 0.6069	LR: 0.100000
Training Epoch: 7 [43776/46250]	Loss: 0.5983	LR: 0.100000
Training Epoch: 7 [44032/46250]	Loss: 0.4925	LR: 0.100000
Training Epoch: 7 [44288/46250]	Loss: 0.6566	LR: 0.100000
Training Epoch: 7 [44544/46250]	Loss: 0.5061	LR: 0.100000
Training Epoch: 7 [44800/46250]	Loss: 0.5708	LR: 0.100000
Training Epoch: 7 [45056/46250]	Loss: 0.6167	LR: 0.100000
Training Epoch: 7 [45312/46250]	Loss: 0.5649	LR: 0.100000
Training Epoch: 7 [45568/46250]	Loss: 0.5610	LR: 0.100000
Training Epoch: 7 [45824/46250]	Loss: 0.5358	LR: 0.100000
Training Epoch: 7 [46080/46250]	Loss: 0.5398	LR: 0.100000
Training Epoch: 7 [46250/46250]	Loss: 0.6698	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6015, Train Accuracy: 0.7899
Epoch 7 training time consumed: 27.62s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7660, Time consumed:0.88s
Training Epoch: 8 [256/46250]	Loss: 0.4205	LR: 0.020000
Training Epoch: 8 [512/46250]	Loss: 0.5156	LR: 0.020000
Training Epoch: 8 [768/46250]	Loss: 0.5815	LR: 0.020000
Training Epoch: 8 [1024/46250]	Loss: 0.6148	LR: 0.020000
Training Epoch: 8 [1280/46250]	Loss: 0.6197	LR: 0.020000
Training Epoch: 8 [1536/46250]	Loss: 0.4902	LR: 0.020000
Training Epoch: 8 [1792/46250]	Loss: 0.5851	LR: 0.020000
Training Epoch: 8 [2048/46250]	Loss: 0.5165	LR: 0.020000
Training Epoch: 8 [2304/46250]	Loss: 0.5176	LR: 0.020000
Training Epoch: 8 [2560/46250]	Loss: 0.4975	LR: 0.020000
Training Epoch: 8 [2816/46250]	Loss: 0.4786	LR: 0.020000
Training Epoch: 8 [3072/46250]	Loss: 0.5681	LR: 0.020000
Training Epoch: 8 [3328/46250]	Loss: 0.5033	LR: 0.020000
Training Epoch: 8 [3584/46250]	Loss: 0.5878	LR: 0.020000
Training Epoch: 8 [3840/46250]	Loss: 0.4306	LR: 0.020000
Training Epoch: 8 [4096/46250]	Loss: 0.5776	LR: 0.020000
Training Epoch: 8 [4352/46250]	Loss: 0.4921	LR: 0.020000
Training Epoch: 8 [4608/46250]	Loss: 0.4365	LR: 0.020000
Training Epoch: 8 [4864/46250]	Loss: 0.5323	LR: 0.020000
Training Epoch: 8 [5120/46250]	Loss: 0.5427	LR: 0.020000
Training Epoch: 8 [5376/46250]	Loss: 0.5324	LR: 0.020000
Training Epoch: 8 [5632/46250]	Loss: 0.4514	LR: 0.020000
Training Epoch: 8 [5888/46250]	Loss: 0.6587	LR: 0.020000
Training Epoch: 8 [6144/46250]	Loss: 0.5554	LR: 0.020000
Training Epoch: 8 [6400/46250]	Loss: 0.5312	LR: 0.020000
Training Epoch: 8 [6656/46250]	Loss: 0.4368	LR: 0.020000
Training Epoch: 8 [6912/46250]	Loss: 0.5154	LR: 0.020000
Training Epoch: 8 [7168/46250]	Loss: 0.4808	LR: 0.020000
Training Epoch: 8 [7424/46250]	Loss: 0.5525	LR: 0.020000
Training Epoch: 8 [7680/46250]	Loss: 0.5237	LR: 0.020000
Training Epoch: 8 [7936/46250]	Loss: 0.4453	LR: 0.020000
Training Epoch: 8 [8192/46250]	Loss: 0.4461	LR: 0.020000
Training Epoch: 8 [8448/46250]	Loss: 0.5968	LR: 0.020000
Training Epoch: 8 [8704/46250]	Loss: 0.3953	LR: 0.020000
Training Epoch: 8 [8960/46250]	Loss: 0.4345	LR: 0.020000
Training Epoch: 8 [9216/46250]	Loss: 0.4671	LR: 0.020000
Training Epoch: 8 [9472/46250]	Loss: 0.4395	LR: 0.020000
Training Epoch: 8 [9728/46250]	Loss: 0.5493	LR: 0.020000
Training Epoch: 8 [9984/46250]	Loss: 0.4328	LR: 0.020000
Training Epoch: 8 [10240/46250]	Loss: 0.4739	LR: 0.020000
Training Epoch: 8 [10496/46250]	Loss: 0.5078	LR: 0.020000
Training Epoch: 8 [10752/46250]	Loss: 0.4772	LR: 0.020000
Training Epoch: 8 [11008/46250]	Loss: 0.4227	LR: 0.020000
Training Epoch: 8 [11264/46250]	Loss: 0.4196	LR: 0.020000
Training Epoch: 8 [11520/46250]	Loss: 0.4860	LR: 0.020000
Training Epoch: 8 [11776/46250]	Loss: 0.4717	LR: 0.020000
Training Epoch: 8 [12032/46250]	Loss: 0.3836	LR: 0.020000
Training Epoch: 8 [12288/46250]	Loss: 0.3687	LR: 0.020000
Training Epoch: 8 [12544/46250]	Loss: 0.4885	LR: 0.020000
Training Epoch: 8 [12800/46250]	Loss: 0.3908	LR: 0.020000
Training Epoch: 8 [13056/46250]	Loss: 0.4751	LR: 0.020000
Training Epoch: 8 [13312/46250]	Loss: 0.5862	LR: 0.020000
Training Epoch: 8 [13568/46250]	Loss: 0.4790	LR: 0.020000
Training Epoch: 8 [13824/46250]	Loss: 0.4822	LR: 0.020000
Training Epoch: 8 [14080/46250]	Loss: 0.4060	LR: 0.020000
Training Epoch: 8 [14336/46250]	Loss: 0.4394	LR: 0.020000
Training Epoch: 8 [14592/46250]	Loss: 0.4573	LR: 0.020000
Training Epoch: 8 [14848/46250]	Loss: 0.4767	LR: 0.020000
Training Epoch: 8 [15104/46250]	Loss: 0.4698	LR: 0.020000
Training Epoch: 8 [15360/46250]	Loss: 0.3651	LR: 0.020000
Training Epoch: 8 [15616/46250]	Loss: 0.4006	LR: 0.020000
Training Epoch: 8 [15872/46250]	Loss: 0.4233	LR: 0.020000
Training Epoch: 8 [16128/46250]	Loss: 0.4886	LR: 0.020000
Training Epoch: 8 [16384/46250]	Loss: 0.4773	LR: 0.020000
Training Epoch: 8 [16640/46250]	Loss: 0.4203	LR: 0.020000
Training Epoch: 8 [16896/46250]	Loss: 0.3900	LR: 0.020000
Training Epoch: 8 [17152/46250]	Loss: 0.3981	LR: 0.020000
Training Epoch: 8 [17408/46250]	Loss: 0.4635	LR: 0.020000
Training Epoch: 8 [17664/46250]	Loss: 0.5043	LR: 0.020000
Training Epoch: 8 [17920/46250]	Loss: 0.4369	LR: 0.020000
Training Epoch: 8 [18176/46250]	Loss: 0.4636	LR: 0.020000
Training Epoch: 8 [18432/46250]	Loss: 0.4292	LR: 0.020000
Training Epoch: 8 [18688/46250]	Loss: 0.4783	LR: 0.020000
Training Epoch: 8 [18944/46250]	Loss: 0.3924	LR: 0.020000
Training Epoch: 8 [19200/46250]	Loss: 0.3665	LR: 0.020000
Training Epoch: 8 [19456/46250]	Loss: 0.4849	LR: 0.020000
Training Epoch: 8 [19712/46250]	Loss: 0.5201	LR: 0.020000
Training Epoch: 8 [19968/46250]	Loss: 0.4918	LR: 0.020000
Training Epoch: 8 [20224/46250]	Loss: 0.4313	LR: 0.020000
Training Epoch: 8 [20480/46250]	Loss: 0.5170	LR: 0.020000
Training Epoch: 8 [20736/46250]	Loss: 0.4774	LR: 0.020000
Training Epoch: 8 [20992/46250]	Loss: 0.5061	LR: 0.020000
Training Epoch: 8 [21248/46250]	Loss: 0.4142	LR: 0.020000
Training Epoch: 8 [21504/46250]	Loss: 0.4120	LR: 0.020000
Training Epoch: 8 [21760/46250]	Loss: 0.4140	LR: 0.020000
Training Epoch: 8 [22016/46250]	Loss: 0.3832	LR: 0.020000
Training Epoch: 8 [22272/46250]	Loss: 0.4423	LR: 0.020000
Training Epoch: 8 [22528/46250]	Loss: 0.5130	LR: 0.020000
Training Epoch: 8 [22784/46250]	Loss: 0.4273	LR: 0.020000
Training Epoch: 8 [23040/46250]	Loss: 0.3803	LR: 0.020000
Training Epoch: 8 [23296/46250]	Loss: 0.3791	LR: 0.020000
Training Epoch: 8 [23552/46250]	Loss: 0.4344	LR: 0.020000
Training Epoch: 8 [23808/46250]	Loss: 0.4304	LR: 0.020000
Training Epoch: 8 [24064/46250]	Loss: 0.4441	LR: 0.020000
Training Epoch: 8 [24320/46250]	Loss: 0.4545	LR: 0.020000
Training Epoch: 8 [24576/46250]	Loss: 0.3398	LR: 0.020000
Training Epoch: 8 [24832/46250]	Loss: 0.5350	LR: 0.020000
Training Epoch: 8 [25088/46250]	Loss: 0.4296	LR: 0.020000
Training Epoch: 8 [25344/46250]	Loss: 0.4107	LR: 0.020000
Training Epoch: 8 [25600/46250]	Loss: 0.4245	LR: 0.020000
Training Epoch: 8 [25856/46250]	Loss: 0.4189	LR: 0.020000
Training Epoch: 8 [26112/46250]	Loss: 0.4152	LR: 0.020000
Training Epoch: 8 [26368/46250]	Loss: 0.3975	LR: 0.020000
Training Epoch: 8 [26624/46250]	Loss: 0.4746	LR: 0.020000
Training Epoch: 8 [26880/46250]	Loss: 0.4446	LR: 0.020000
Training Epoch: 8 [27136/46250]	Loss: 0.3733	LR: 0.020000
Training Epoch: 8 [27392/46250]	Loss: 0.4354	LR: 0.020000
Training Epoch: 8 [27648/46250]	Loss: 0.3538	LR: 0.020000
Training Epoch: 8 [27904/46250]	Loss: 0.4560	LR: 0.020000
Training Epoch: 8 [28160/46250]	Loss: 0.4099	LR: 0.020000
Training Epoch: 8 [28416/46250]	Loss: 0.4435	LR: 0.020000
Training Epoch: 8 [28672/46250]	Loss: 0.3476	LR: 0.020000
Training Epoch: 8 [28928/46250]	Loss: 0.4659	LR: 0.020000
Training Epoch: 8 [29184/46250]	Loss: 0.4033	LR: 0.020000
Training Epoch: 8 [29440/46250]	Loss: 0.4918	LR: 0.020000
Training Epoch: 8 [29696/46250]	Loss: 0.4580	LR: 0.020000
Training Epoch: 8 [29952/46250]	Loss: 0.4965	LR: 0.020000
Training Epoch: 8 [30208/46250]	Loss: 0.4470	LR: 0.020000
Training Epoch: 8 [30464/46250]	Loss: 0.4122	LR: 0.020000
Training Epoch: 8 [30720/46250]	Loss: 0.4468	LR: 0.020000
Training Epoch: 8 [30976/46250]	Loss: 0.3971	LR: 0.020000
Training Epoch: 8 [31232/46250]	Loss: 0.5196	LR: 0.020000
Training Epoch: 8 [31488/46250]	Loss: 0.4107	LR: 0.020000
Training Epoch: 8 [31744/46250]	Loss: 0.4002	LR: 0.020000
Training Epoch: 8 [32000/46250]	Loss: 0.4662	LR: 0.020000
Training Epoch: 8 [32256/46250]	Loss: 0.3927	LR: 0.020000
Training Epoch: 8 [32512/46250]	Loss: 0.3657	LR: 0.020000
Training Epoch: 8 [32768/46250]	Loss: 0.4566	LR: 0.020000
Training Epoch: 8 [33024/46250]	Loss: 0.4371	LR: 0.020000
Training Epoch: 8 [33280/46250]	Loss: 0.4491	LR: 0.020000
Training Epoch: 8 [33536/46250]	Loss: 0.3630	LR: 0.020000
Training Epoch: 8 [33792/46250]	Loss: 0.3812	LR: 0.020000
Training Epoch: 8 [34048/46250]	Loss: 0.3878	LR: 0.020000
Training Epoch: 8 [34304/46250]	Loss: 0.4354	LR: 0.020000
Training Epoch: 8 [34560/46250]	Loss: 0.4083	LR: 0.020000
Training Epoch: 8 [34816/46250]	Loss: 0.5752	LR: 0.020000
Training Epoch: 8 [35072/46250]	Loss: 0.3664	LR: 0.020000
Training Epoch: 8 [35328/46250]	Loss: 0.4467	LR: 0.020000
Training Epoch: 8 [35584/46250]	Loss: 0.4188	LR: 0.020000
Training Epoch: 8 [35840/46250]	Loss: 0.4009	LR: 0.020000
Training Epoch: 8 [36096/46250]	Loss: 0.4555	LR: 0.020000
Training Epoch: 8 [36352/46250]	Loss: 0.5257	LR: 0.020000
Training Epoch: 8 [36608/46250]	Loss: 0.4330	LR: 0.020000
Training Epoch: 8 [36864/46250]	Loss: 0.4403	LR: 0.020000
Training Epoch: 8 [37120/46250]	Loss: 0.5094	LR: 0.020000
Training Epoch: 8 [37376/46250]	Loss: 0.4017	LR: 0.020000
Training Epoch: 8 [37632/46250]	Loss: 0.3985	LR: 0.020000
Training Epoch: 8 [37888/46250]	Loss: 0.4903	LR: 0.020000
Training Epoch: 8 [38144/46250]	Loss: 0.3567	LR: 0.020000
Training Epoch: 8 [38400/46250]	Loss: 0.5605	LR: 0.020000
Training Epoch: 8 [38656/46250]	Loss: 0.5492	LR: 0.020000
Training Epoch: 8 [38912/46250]	Loss: 0.4345	LR: 0.020000
Training Epoch: 8 [39168/46250]	Loss: 0.3776	LR: 0.020000
Training Epoch: 8 [39424/46250]	Loss: 0.2989	LR: 0.020000
Training Epoch: 8 [39680/46250]	Loss: 0.4440	LR: 0.020000
Training Epoch: 8 [39936/46250]	Loss: 0.4268	LR: 0.020000
Training Epoch: 8 [40192/46250]	Loss: 0.3796	LR: 0.020000
Training Epoch: 8 [40448/46250]	Loss: 0.4526	LR: 0.020000
Training Epoch: 8 [40704/46250]	Loss: 0.3920	LR: 0.020000
Training Epoch: 8 [40960/46250]	Loss: 0.4080	LR: 0.020000
Training Epoch: 8 [41216/46250]	Loss: 0.4258	LR: 0.020000
Training Epoch: 8 [41472/46250]	Loss: 0.5054	LR: 0.020000
Training Epoch: 8 [41728/46250]	Loss: 0.5861	LR: 0.020000
Training Epoch: 8 [41984/46250]	Loss: 0.4213	LR: 0.020000
Training Epoch: 8 [42240/46250]	Loss: 0.4993	LR: 0.020000
Training Epoch: 8 [42496/46250]	Loss: 0.4949	LR: 0.020000
Training Epoch: 8 [42752/46250]	Loss: 0.5004	LR: 0.020000
Training Epoch: 8 [43008/46250]	Loss: 0.4932	LR: 0.020000
Training Epoch: 8 [43264/46250]	Loss: 0.4213	LR: 0.020000
Training Epoch: 8 [43520/46250]	Loss: 0.4558	LR: 0.020000
Training Epoch: 8 [43776/46250]	Loss: 0.4392	LR: 0.020000
Training Epoch: 8 [44032/46250]	Loss: 0.3411	LR: 0.020000
Training Epoch: 8 [44288/46250]	Loss: 0.4339	LR: 0.020000
Training Epoch: 8 [44544/46250]	Loss: 0.3963	LR: 0.020000
Training Epoch: 8 [44800/46250]	Loss: 0.4127	LR: 0.020000
Training Epoch: 8 [45056/46250]	Loss: 0.4552	LR: 0.020000
Training Epoch: 8 [45312/46250]	Loss: 0.4168	LR: 0.020000
Training Epoch: 8 [45568/46250]	Loss: 0.3825	LR: 0.020000
Training Epoch: 8 [45824/46250]	Loss: 0.4098	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.4377	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.5649	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4551, Train Accuracy: 0.8428
Epoch 8 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8567, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4762	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.3875	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.3815	LR: 0.020000
Training Epoch: 9 [1024/46250]	Loss: 0.3879	LR: 0.020000
Training Epoch: 9 [1280/46250]	Loss: 0.3456	LR: 0.020000
Training Epoch: 9 [1536/46250]	Loss: 0.4826	LR: 0.020000
Training Epoch: 9 [1792/46250]	Loss: 0.3883	LR: 0.020000
Training Epoch: 9 [2048/46250]	Loss: 0.3608	LR: 0.020000
Training Epoch: 9 [2304/46250]	Loss: 0.3687	LR: 0.020000
Training Epoch: 9 [2560/46250]	Loss: 0.4009	LR: 0.020000
Training Epoch: 9 [2816/46250]	Loss: 0.4236	LR: 0.020000
Training Epoch: 9 [3072/46250]	Loss: 0.4451	LR: 0.020000
Training Epoch: 9 [3328/46250]	Loss: 0.3913	LR: 0.020000
Training Epoch: 9 [3584/46250]	Loss: 0.3502	LR: 0.020000
Training Epoch: 9 [3840/46250]	Loss: 0.3942	LR: 0.020000
Training Epoch: 9 [4096/46250]	Loss: 0.3543	LR: 0.020000
Training Epoch: 9 [4352/46250]	Loss: 0.3770	LR: 0.020000
Training Epoch: 9 [4608/46250]	Loss: 0.3985	LR: 0.020000
Training Epoch: 9 [4864/46250]	Loss: 0.4294	LR: 0.020000
Training Epoch: 9 [5120/46250]	Loss: 0.4364	LR: 0.020000
Training Epoch: 9 [5376/46250]	Loss: 0.5022	LR: 0.020000
Training Epoch: 9 [5632/46250]	Loss: 0.4134	LR: 0.020000
Training Epoch: 9 [5888/46250]	Loss: 0.3727	LR: 0.020000
Training Epoch: 9 [6144/46250]	Loss: 0.4270	LR: 0.020000
Training Epoch: 9 [6400/46250]	Loss: 0.5155	LR: 0.020000
Training Epoch: 9 [6656/46250]	Loss: 0.4845	LR: 0.020000
Training Epoch: 9 [6912/46250]	Loss: 0.3809	LR: 0.020000
Training Epoch: 9 [7168/46250]	Loss: 0.3908	LR: 0.020000
Training Epoch: 9 [7424/46250]	Loss: 0.3898	LR: 0.020000
Training Epoch: 9 [7680/46250]	Loss: 0.4436	LR: 0.020000
Training Epoch: 9 [7936/46250]	Loss: 0.4146	LR: 0.020000
Training Epoch: 9 [8192/46250]	Loss: 0.3609	LR: 0.020000
Training Epoch: 9 [8448/46250]	Loss: 0.4636	LR: 0.020000
Training Epoch: 9 [8704/46250]	Loss: 0.4052	LR: 0.020000
Training Epoch: 9 [8960/46250]	Loss: 0.4565	LR: 0.020000
Training Epoch: 9 [9216/46250]	Loss: 0.3705	LR: 0.020000
Training Epoch: 9 [9472/46250]	Loss: 0.3789	LR: 0.020000
Training Epoch: 9 [9728/46250]	Loss: 0.4012	LR: 0.020000
Training Epoch: 9 [9984/46250]	Loss: 0.4162	LR: 0.020000
Training Epoch: 9 [10240/46250]	Loss: 0.3860	LR: 0.020000
Training Epoch: 9 [10496/46250]	Loss: 0.4956	LR: 0.020000
Training Epoch: 9 [10752/46250]	Loss: 0.4057	LR: 0.020000
Training Epoch: 9 [11008/46250]	Loss: 0.3548	LR: 0.020000
Training Epoch: 9 [11264/46250]	Loss: 0.3592	LR: 0.020000
Training Epoch: 9 [11520/46250]	Loss: 0.5028	LR: 0.020000
Training Epoch: 9 [11776/46250]	Loss: 0.3369	LR: 0.020000
Training Epoch: 9 [12032/46250]	Loss: 0.4372	LR: 0.020000
Training Epoch: 9 [12288/46250]	Loss: 0.3892	LR: 0.020000
Training Epoch: 9 [12544/46250]	Loss: 0.4497	LR: 0.020000
Training Epoch: 9 [12800/46250]	Loss: 0.4380	LR: 0.020000
Training Epoch: 9 [13056/46250]	Loss: 0.4588	LR: 0.020000
Training Epoch: 9 [13312/46250]	Loss: 0.3727	LR: 0.020000
Training Epoch: 9 [13568/46250]	Loss: 0.4324	LR: 0.020000
Training Epoch: 9 [13824/46250]	Loss: 0.4474	LR: 0.020000
Training Epoch: 9 [14080/46250]	Loss: 0.4403	LR: 0.020000
Training Epoch: 9 [14336/46250]	Loss: 0.3923	LR: 0.020000
Training Epoch: 9 [14592/46250]	Loss: 0.4446	LR: 0.020000
Training Epoch: 9 [14848/46250]	Loss: 0.3784	LR: 0.020000
Training Epoch: 9 [15104/46250]	Loss: 0.4067	LR: 0.020000
Training Epoch: 9 [15360/46250]	Loss: 0.3487	LR: 0.020000
Training Epoch: 9 [15616/46250]	Loss: 0.4468	LR: 0.020000
Training Epoch: 9 [15872/46250]	Loss: 0.4376	LR: 0.020000
Training Epoch: 9 [16128/46250]	Loss: 0.4277	LR: 0.020000
Training Epoch: 9 [16384/46250]	Loss: 0.3621	LR: 0.020000
Training Epoch: 9 [16640/46250]	Loss: 0.3462	LR: 0.020000
Training Epoch: 9 [16896/46250]	Loss: 0.4306	LR: 0.020000
Training Epoch: 9 [17152/46250]	Loss: 0.4279	LR: 0.020000
Training Epoch: 9 [17408/46250]	Loss: 0.4625	LR: 0.020000
Training Epoch: 9 [17664/46250]	Loss: 0.3919	LR: 0.020000
Training Epoch: 9 [17920/46250]	Loss: 0.3959	LR: 0.020000
Training Epoch: 9 [18176/46250]	Loss: 0.3473	LR: 0.020000
Training Epoch: 9 [18432/46250]	Loss: 0.4432	LR: 0.020000
Training Epoch: 9 [18688/46250]	Loss: 0.3887	LR: 0.020000
Training Epoch: 9 [18944/46250]	Loss: 0.3728	LR: 0.020000
Training Epoch: 9 [19200/46250]	Loss: 0.3719	LR: 0.020000
Training Epoch: 9 [19456/46250]	Loss: 0.4524	LR: 0.020000
Training Epoch: 9 [19712/46250]	Loss: 0.4394	LR: 0.020000
Training Epoch: 9 [19968/46250]	Loss: 0.3373	LR: 0.020000
Training Epoch: 9 [20224/46250]	Loss: 0.4806	LR: 0.020000
Training Epoch: 9 [20480/46250]	Loss: 0.4020	LR: 0.020000
Training Epoch: 9 [20736/46250]	Loss: 0.4401	LR: 0.020000
Training Epoch: 9 [20992/46250]	Loss: 0.4342	LR: 0.020000
Training Epoch: 9 [21248/46250]	Loss: 0.4200	LR: 0.020000
Training Epoch: 9 [21504/46250]	Loss: 0.4023	LR: 0.020000
Training Epoch: 9 [21760/46250]	Loss: 0.3922	LR: 0.020000
Training Epoch: 9 [22016/46250]	Loss: 0.3903	LR: 0.020000
Training Epoch: 9 [22272/46250]	Loss: 0.3942	LR: 0.020000
Training Epoch: 9 [22528/46250]	Loss: 0.3846	LR: 0.020000
Training Epoch: 9 [22784/46250]	Loss: 0.3187	LR: 0.020000
Training Epoch: 9 [23040/46250]	Loss: 0.3778	LR: 0.020000
Training Epoch: 9 [23296/46250]	Loss: 0.3942	LR: 0.020000
Training Epoch: 9 [23552/46250]	Loss: 0.4389	LR: 0.020000
Training Epoch: 9 [23808/46250]	Loss: 0.3391	LR: 0.020000
Training Epoch: 9 [24064/46250]	Loss: 0.3765	LR: 0.020000
Training Epoch: 9 [24320/46250]	Loss: 0.3971	LR: 0.020000
Training Epoch: 9 [24576/46250]	Loss: 0.3552	LR: 0.020000
Training Epoch: 9 [24832/46250]	Loss: 0.4281	LR: 0.020000
Training Epoch: 9 [25088/46250]	Loss: 0.3298	LR: 0.020000
Training Epoch: 9 [25344/46250]	Loss: 0.4085	LR: 0.020000
Training Epoch: 9 [25600/46250]	Loss: 0.3918	LR: 0.020000
Training Epoch: 9 [25856/46250]	Loss: 0.4473	LR: 0.020000
Training Epoch: 9 [26112/46250]	Loss: 0.4264	LR: 0.020000
Training Epoch: 9 [26368/46250]	Loss: 0.4074	LR: 0.020000
Training Epoch: 9 [26624/46250]	Loss: 0.3865	LR: 0.020000
Training Epoch: 9 [26880/46250]	Loss: 0.3214	LR: 0.020000
Training Epoch: 9 [27136/46250]	Loss: 0.3900	LR: 0.020000
Training Epoch: 9 [27392/46250]	Loss: 0.4251	LR: 0.020000
Training Epoch: 9 [27648/46250]	Loss: 0.5177	LR: 0.020000
Training Epoch: 9 [27904/46250]	Loss: 0.5342	LR: 0.020000
Training Epoch: 9 [28160/46250]	Loss: 0.4127	LR: 0.020000
Training Epoch: 9 [28416/46250]	Loss: 0.4985	LR: 0.020000
Training Epoch: 9 [28672/46250]	Loss: 0.3911	LR: 0.020000
Training Epoch: 9 [28928/46250]	Loss: 0.5043	LR: 0.020000
Training Epoch: 9 [29184/46250]	Loss: 0.3423	LR: 0.020000
Training Epoch: 9 [29440/46250]	Loss: 0.4263	LR: 0.020000
Training Epoch: 9 [29696/46250]	Loss: 0.3594	LR: 0.020000
Training Epoch: 9 [29952/46250]	Loss: 0.4143	LR: 0.020000
Training Epoch: 9 [30208/46250]	Loss: 0.4352	LR: 0.020000
Training Epoch: 9 [30464/46250]	Loss: 0.4419	LR: 0.020000
Training Epoch: 9 [30720/46250]	Loss: 0.3550	LR: 0.020000
Training Epoch: 9 [30976/46250]	Loss: 0.3450	LR: 0.020000
Training Epoch: 9 [31232/46250]	Loss: 0.2885	LR: 0.020000
Training Epoch: 9 [31488/46250]	Loss: 0.5191	LR: 0.020000
Training Epoch: 9 [31744/46250]	Loss: 0.3849	LR: 0.020000
Training Epoch: 9 [32000/46250]	Loss: 0.3948	LR: 0.020000
Training Epoch: 9 [32256/46250]	Loss: 0.3768	LR: 0.020000
Training Epoch: 9 [32512/46250]	Loss: 0.4270	LR: 0.020000
Training Epoch: 9 [32768/46250]	Loss: 0.4380	LR: 0.020000
Training Epoch: 9 [33024/46250]	Loss: 0.4017	LR: 0.020000
Training Epoch: 9 [33280/46250]	Loss: 0.4629	LR: 0.020000
Training Epoch: 9 [33536/46250]	Loss: 0.4529	LR: 0.020000
Training Epoch: 9 [33792/46250]	Loss: 0.3601	LR: 0.020000
Training Epoch: 9 [34048/46250]	Loss: 0.4512	LR: 0.020000
Training Epoch: 9 [34304/46250]	Loss: 0.3052	LR: 0.020000
Training Epoch: 9 [34560/46250]	Loss: 0.3924	LR: 0.020000
Training Epoch: 9 [34816/46250]	Loss: 0.3253	LR: 0.020000
Training Epoch: 9 [35072/46250]	Loss: 0.4174	LR: 0.020000
Training Epoch: 9 [35328/46250]	Loss: 0.3987	LR: 0.020000
Training Epoch: 9 [35584/46250]	Loss: 0.3739	LR: 0.020000
Training Epoch: 9 [35840/46250]	Loss: 0.3695	LR: 0.020000
Training Epoch: 9 [36096/46250]	Loss: 0.3539	LR: 0.020000
Training Epoch: 9 [36352/46250]	Loss: 0.4719	LR: 0.020000
Training Epoch: 9 [36608/46250]	Loss: 0.4120	LR: 0.020000
Training Epoch: 9 [36864/46250]	Loss: 0.4267	LR: 0.020000
Training Epoch: 9 [37120/46250]	Loss: 0.4564	LR: 0.020000
Training Epoch: 9 [37376/46250]	Loss: 0.4126	LR: 0.020000
Training Epoch: 9 [37632/46250]	Loss: 0.4058	LR: 0.020000
Training Epoch: 9 [37888/46250]	Loss: 0.4200	LR: 0.020000
Training Epoch: 9 [38144/46250]	Loss: 0.3149	LR: 0.020000
Training Epoch: 9 [38400/46250]	Loss: 0.3818	LR: 0.020000
Training Epoch: 9 [38656/46250]	Loss: 0.4160	LR: 0.020000
Training Epoch: 9 [38912/46250]	Loss: 0.4326	LR: 0.020000
Training Epoch: 9 [39168/46250]	Loss: 0.2671	LR: 0.020000
Training Epoch: 9 [39424/46250]	Loss: 0.3653	LR: 0.020000
Training Epoch: 9 [39680/46250]	Loss: 0.3993	LR: 0.020000
Training Epoch: 9 [39936/46250]	Loss: 0.4358	LR: 0.020000
Training Epoch: 9 [40192/46250]	Loss: 0.3950	LR: 0.020000
Training Epoch: 9 [40448/46250]	Loss: 0.4047	LR: 0.020000
Training Epoch: 9 [40704/46250]	Loss: 0.3735	LR: 0.020000
Training Epoch: 9 [40960/46250]	Loss: 0.3965	LR: 0.020000
Training Epoch: 9 [41216/46250]	Loss: 0.3269	LR: 0.020000
Training Epoch: 9 [41472/46250]	Loss: 0.3784	LR: 0.020000
Training Epoch: 9 [41728/46250]	Loss: 0.3359	LR: 0.020000
Training Epoch: 9 [41984/46250]	Loss: 0.4479	LR: 0.020000
Training Epoch: 9 [42240/46250]	Loss: 0.4312	LR: 0.020000
Training Epoch: 9 [42496/46250]	Loss: 0.3455	LR: 0.020000
Training Epoch: 9 [42752/46250]	Loss: 0.4295	LR: 0.020000
Training Epoch: 9 [43008/46250]	Loss: 0.4022	LR: 0.020000
Training Epoch: 9 [43264/46250]	Loss: 0.4228	LR: 0.020000
Training Epoch: 9 [43520/46250]	Loss: 0.4249	LR: 0.020000
Training Epoch: 9 [43776/46250]	Loss: 0.5223	LR: 0.020000
Training Epoch: 9 [44032/46250]	Loss: 0.3972	LR: 0.020000
Training Epoch: 9 [44288/46250]	Loss: 0.4722	LR: 0.020000
Training Epoch: 9 [44544/46250]	Loss: 0.4469	LR: 0.020000
Training Epoch: 9 [44800/46250]	Loss: 0.3922	LR: 0.020000
Training Epoch: 9 [45056/46250]	Loss: 0.3929	LR: 0.020000
Training Epoch: 9 [45312/46250]	Loss: 0.3583	LR: 0.020000
Training Epoch: 9 [45568/46250]	Loss: 0.3824	LR: 0.020000
Training Epoch: 9 [45824/46250]	Loss: 0.3435	LR: 0.020000
Training Epoch: 9 [46080/46250]	Loss: 0.3681	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3954	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4050, Train Accuracy: 0.8567
Epoch 9 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8637, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4038	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.3603	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.4107	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3222	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.3669	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.4567	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.3663	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.3657	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.4186	LR: 0.020000
Training Epoch: 10 [2560/46250]	Loss: 0.3363	LR: 0.020000
Training Epoch: 10 [2816/46250]	Loss: 0.4618	LR: 0.020000
Training Epoch: 10 [3072/46250]	Loss: 0.4231	LR: 0.020000
Training Epoch: 10 [3328/46250]	Loss: 0.3464	LR: 0.020000
Training Epoch: 10 [3584/46250]	Loss: 0.3119	LR: 0.020000
Training Epoch: 10 [3840/46250]	Loss: 0.3563	LR: 0.020000
Training Epoch: 10 [4096/46250]	Loss: 0.3894	LR: 0.020000
Training Epoch: 10 [4352/46250]	Loss: 0.4039	LR: 0.020000
Training Epoch: 10 [4608/46250]	Loss: 0.4690	LR: 0.020000
Training Epoch: 10 [4864/46250]	Loss: 0.3395	LR: 0.020000
Training Epoch: 10 [5120/46250]	Loss: 0.3429	LR: 0.020000
Training Epoch: 10 [5376/46250]	Loss: 0.4676	LR: 0.020000
Training Epoch: 10 [5632/46250]	Loss: 0.3971	LR: 0.020000
Training Epoch: 10 [5888/46250]	Loss: 0.4023	LR: 0.020000
Training Epoch: 10 [6144/46250]	Loss: 0.3091	LR: 0.020000
Training Epoch: 10 [6400/46250]	Loss: 0.3715	LR: 0.020000
Training Epoch: 10 [6656/46250]	Loss: 0.4270	LR: 0.020000
Training Epoch: 10 [6912/46250]	Loss: 0.2779	LR: 0.020000
Training Epoch: 10 [7168/46250]	Loss: 0.3960	LR: 0.020000
Training Epoch: 10 [7424/46250]	Loss: 0.5217	LR: 0.020000
Training Epoch: 10 [7680/46250]	Loss: 0.4418	LR: 0.020000
Training Epoch: 10 [7936/46250]	Loss: 0.3926	LR: 0.020000
Training Epoch: 10 [8192/46250]	Loss: 0.3782	LR: 0.020000
Training Epoch: 10 [8448/46250]	Loss: 0.3881	LR: 0.020000
Training Epoch: 10 [8704/46250]	Loss: 0.3633	LR: 0.020000
Training Epoch: 10 [8960/46250]	Loss: 0.3773	LR: 0.020000
Training Epoch: 10 [9216/46250]	Loss: 0.3996	LR: 0.020000
Training Epoch: 10 [9472/46250]	Loss: 0.3695	LR: 0.020000
Training Epoch: 10 [9728/46250]	Loss: 0.4337	LR: 0.020000
Training Epoch: 10 [9984/46250]	Loss: 0.4519	LR: 0.020000
Training Epoch: 10 [10240/46250]	Loss: 0.3466	LR: 0.020000
Training Epoch: 10 [10496/46250]	Loss: 0.3176	LR: 0.020000
Training Epoch: 10 [10752/46250]	Loss: 0.3883	LR: 0.020000
Training Epoch: 10 [11008/46250]	Loss: 0.4247	LR: 0.020000
Training Epoch: 10 [11264/46250]	Loss: 0.3424	LR: 0.020000
Training Epoch: 10 [11520/46250]	Loss: 0.4321	LR: 0.020000
Training Epoch: 10 [11776/46250]	Loss: 0.3158	LR: 0.020000
Training Epoch: 10 [12032/46250]	Loss: 0.4161	LR: 0.020000
Training Epoch: 10 [12288/46250]	Loss: 0.4026	LR: 0.020000
Training Epoch: 10 [12544/46250]	Loss: 0.4455	LR: 0.020000
Training Epoch: 10 [12800/46250]	Loss: 0.3345	LR: 0.020000
Training Epoch: 10 [13056/46250]	Loss: 0.3783	LR: 0.020000
Training Epoch: 10 [13312/46250]	Loss: 0.3887	LR: 0.020000
Training Epoch: 10 [13568/46250]	Loss: 0.3474	LR: 0.020000
Training Epoch: 10 [13824/46250]	Loss: 0.3821	LR: 0.020000
Training Epoch: 10 [14080/46250]	Loss: 0.3922	LR: 0.020000
Training Epoch: 10 [14336/46250]	Loss: 0.2782	LR: 0.020000
Training Epoch: 10 [14592/46250]	Loss: 0.4016	LR: 0.020000
Training Epoch: 10 [14848/46250]	Loss: 0.4332	LR: 0.020000
Training Epoch: 10 [15104/46250]	Loss: 0.3452	LR: 0.020000
Training Epoch: 10 [15360/46250]	Loss: 0.4747	LR: 0.020000
Training Epoch: 10 [15616/46250]	Loss: 0.2936	LR: 0.020000
Training Epoch: 10 [15872/46250]	Loss: 0.4435	LR: 0.020000
Training Epoch: 10 [16128/46250]	Loss: 0.3570	LR: 0.020000
Training Epoch: 10 [16384/46250]	Loss: 0.3378	LR: 0.020000
Training Epoch: 10 [16640/46250]	Loss: 0.4514	LR: 0.020000
Training Epoch: 10 [16896/46250]	Loss: 0.2963	LR: 0.020000
Training Epoch: 10 [17152/46250]	Loss: 0.4186	LR: 0.020000
Training Epoch: 10 [17408/46250]	Loss: 0.3005	LR: 0.020000
Training Epoch: 10 [17664/46250]	Loss: 0.3600	LR: 0.020000
Training Epoch: 10 [17920/46250]	Loss: 0.3019	LR: 0.020000
Training Epoch: 10 [18176/46250]	Loss: 0.2858	LR: 0.020000
Training Epoch: 10 [18432/46250]	Loss: 0.4763	LR: 0.020000
Training Epoch: 10 [18688/46250]	Loss: 0.4148	LR: 0.020000
Training Epoch: 10 [18944/46250]	Loss: 0.3998	LR: 0.020000
Training Epoch: 10 [19200/46250]	Loss: 0.3341	LR: 0.020000
Training Epoch: 10 [19456/46250]	Loss: 0.3796	LR: 0.020000
Training Epoch: 10 [19712/46250]	Loss: 0.4121	LR: 0.020000
Training Epoch: 10 [19968/46250]	Loss: 0.3074	LR: 0.020000
Training Epoch: 10 [20224/46250]	Loss: 0.4485	LR: 0.020000
Training Epoch: 10 [20480/46250]	Loss: 0.3610	LR: 0.020000
Training Epoch: 10 [20736/46250]	Loss: 0.4154	LR: 0.020000
Training Epoch: 10 [20992/46250]	Loss: 0.4087	LR: 0.020000
Training Epoch: 10 [21248/46250]	Loss: 0.4096	LR: 0.020000
Training Epoch: 10 [21504/46250]	Loss: 0.3345	LR: 0.020000
Training Epoch: 10 [21760/46250]	Loss: 0.3577	LR: 0.020000
Training Epoch: 10 [22016/46250]	Loss: 0.4509	LR: 0.020000
Training Epoch: 10 [22272/46250]	Loss: 0.4503	LR: 0.020000
Training Epoch: 10 [22528/46250]	Loss: 0.3987	LR: 0.020000
Training Epoch: 10 [22784/46250]	Loss: 0.4018	LR: 0.020000
Training Epoch: 10 [23040/46250]	Loss: 0.4104	LR: 0.020000
Training Epoch: 10 [23296/46250]	Loss: 0.2272	LR: 0.020000
Training Epoch: 10 [23552/46250]	Loss: 0.4426	LR: 0.020000
Training Epoch: 10 [23808/46250]	Loss: 0.4223	LR: 0.020000
Training Epoch: 10 [24064/46250]	Loss: 0.3529	LR: 0.020000
Training Epoch: 10 [24320/46250]	Loss: 0.3711	LR: 0.020000
Training Epoch: 10 [24576/46250]	Loss: 0.3032	LR: 0.020000
Training Epoch: 10 [24832/46250]	Loss: 0.3495	LR: 0.020000
Training Epoch: 10 [25088/46250]	Loss: 0.3840	LR: 0.020000
Training Epoch: 10 [25344/46250]	Loss: 0.4256	LR: 0.020000
Training Epoch: 10 [25600/46250]	Loss: 0.5679	LR: 0.020000
Training Epoch: 10 [25856/46250]	Loss: 0.2990	LR: 0.020000
Training Epoch: 10 [26112/46250]	Loss: 0.2739	LR: 0.020000
Training Epoch: 10 [26368/46250]	Loss: 0.3409	LR: 0.020000
Training Epoch: 10 [26624/46250]	Loss: 0.3362	LR: 0.020000
Training Epoch: 10 [26880/46250]	Loss: 0.3253	LR: 0.020000
Training Epoch: 10 [27136/46250]	Loss: 0.3798	LR: 0.020000
Training Epoch: 10 [27392/46250]	Loss: 0.3820	LR: 0.020000
Training Epoch: 10 [27648/46250]	Loss: 0.3697	LR: 0.020000
Training Epoch: 10 [27904/46250]	Loss: 0.4128	LR: 0.020000
Training Epoch: 10 [28160/46250]	Loss: 0.3141	LR: 0.020000
Training Epoch: 10 [28416/46250]	Loss: 0.3109	LR: 0.020000
Training Epoch: 10 [28672/46250]	Loss: 0.3652	LR: 0.020000
Training Epoch: 10 [28928/46250]	Loss: 0.3852	LR: 0.020000
Training Epoch: 10 [29184/46250]	Loss: 0.3642	LR: 0.020000
Training Epoch: 10 [29440/46250]	Loss: 0.3733	LR: 0.020000
Training Epoch: 10 [29696/46250]	Loss: 0.4523	LR: 0.020000
Training Epoch: 10 [29952/46250]	Loss: 0.4731	LR: 0.020000
Training Epoch: 10 [30208/46250]	Loss: 0.4107	LR: 0.020000
Training Epoch: 10 [30464/46250]	Loss: 0.3719	LR: 0.020000
Training Epoch: 10 [30720/46250]	Loss: 0.2724	LR: 0.020000
Training Epoch: 10 [30976/46250]	Loss: 0.4443	LR: 0.020000
Training Epoch: 10 [31232/46250]	Loss: 0.3500	LR: 0.020000
Training Epoch: 10 [31488/46250]	Loss: 0.3659	LR: 0.020000
Training Epoch: 10 [31744/46250]	Loss: 0.3238	LR: 0.020000
Training Epoch: 10 [32000/46250]	Loss: 0.3570	LR: 0.020000
Training Epoch: 10 [32256/46250]	Loss: 0.3113	LR: 0.020000
Training Epoch: 10 [32512/46250]	Loss: 0.3133	LR: 0.020000
Training Epoch: 10 [32768/46250]	Loss: 0.3030	LR: 0.020000
Training Epoch: 10 [33024/46250]	Loss: 0.4308	LR: 0.020000
Training Epoch: 10 [33280/46250]	Loss: 0.3706	LR: 0.020000
Training Epoch: 10 [33536/46250]	Loss: 0.2947	LR: 0.020000
Training Epoch: 10 [33792/46250]	Loss: 0.3677	LR: 0.020000
Training Epoch: 10 [34048/46250]	Loss: 0.4161	LR: 0.020000
Training Epoch: 10 [34304/46250]	Loss: 0.4081	LR: 0.020000
Training Epoch: 10 [34560/46250]	Loss: 0.3633	LR: 0.020000
Training Epoch: 10 [34816/46250]	Loss: 0.4423	LR: 0.020000
Training Epoch: 10 [35072/46250]	Loss: 0.3831	LR: 0.020000
Training Epoch: 10 [35328/46250]	Loss: 0.3336	LR: 0.020000
Training Epoch: 10 [35584/46250]	Loss: 0.3970	LR: 0.020000
Training Epoch: 10 [35840/46250]	Loss: 0.3112	LR: 0.020000
Training Epoch: 10 [36096/46250]	Loss: 0.5019	LR: 0.020000
Training Epoch: 10 [36352/46250]	Loss: 0.3801	LR: 0.020000
Training Epoch: 10 [36608/46250]	Loss: 0.3595	LR: 0.020000
Training Epoch: 10 [36864/46250]	Loss: 0.3592	LR: 0.020000
Training Epoch: 10 [37120/46250]	Loss: 0.3545	LR: 0.020000
Training Epoch: 10 [37376/46250]	Loss: 0.3364	LR: 0.020000
Training Epoch: 10 [37632/46250]	Loss: 0.3209	LR: 0.020000
Training Epoch: 10 [37888/46250]	Loss: 0.3589	LR: 0.020000
Training Epoch: 10 [38144/46250]	Loss: 0.4060	LR: 0.020000
Training Epoch: 10 [38400/46250]	Loss: 0.3119	LR: 0.020000
Training Epoch: 10 [38656/46250]	Loss: 0.3695	LR: 0.020000
Training Epoch: 10 [38912/46250]	Loss: 0.4460	LR: 0.020000
Training Epoch: 10 [39168/46250]	Loss: 0.4087	LR: 0.020000
Training Epoch: 10 [39424/46250]	Loss: 0.4202	LR: 0.020000
Training Epoch: 10 [39680/46250]	Loss: 0.4751	LR: 0.020000
Training Epoch: 10 [39936/46250]	Loss: 0.4748	LR: 0.020000
Training Epoch: 10 [40192/46250]	Loss: 0.4482	LR: 0.020000
Training Epoch: 10 [40448/46250]	Loss: 0.3330	LR: 0.020000
Training Epoch: 10 [40704/46250]	Loss: 0.4126	LR: 0.020000
Training Epoch: 10 [40960/46250]	Loss: 0.4976	LR: 0.020000
Training Epoch: 10 [41216/46250]	Loss: 0.4415	LR: 0.020000
Training Epoch: 10 [41472/46250]	Loss: 0.3286	LR: 0.020000
Training Epoch: 10 [41728/46250]	Loss: 0.3840	LR: 0.020000
Training Epoch: 10 [41984/46250]	Loss: 0.4146	LR: 0.020000
Training Epoch: 10 [42240/46250]	Loss: 0.4199	LR: 0.020000
Training Epoch: 10 [42496/46250]	Loss: 0.2849	LR: 0.020000
Training Epoch: 10 [42752/46250]	Loss: 0.3942	LR: 0.020000
Training Epoch: 10 [43008/46250]	Loss: 0.4826	LR: 0.020000
Training Epoch: 10 [43264/46250]	Loss: 0.3781	LR: 0.020000
Training Epoch: 10 [43520/46250]	Loss: 0.4320	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.3354	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.3313	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.3623	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.3273	LR: 0.020000
Training Epoch: 10 [44800/46250]	Loss: 0.3439	LR: 0.020000
Training Epoch: 10 [45056/46250]	Loss: 0.3029	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.3348	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.3788	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.3699	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3191	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.3808	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3795, Train Accuracy: 0.8685
Epoch 10 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8693, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-10-best.pth
Training Epoch: 11 [256/46250]	Loss: 0.4613	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.3228	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.3024	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.3419	LR: 0.020000
Training Epoch: 11 [1280/46250]	Loss: 0.2516	LR: 0.020000
Training Epoch: 11 [1536/46250]	Loss: 0.4742	LR: 0.020000
Training Epoch: 11 [1792/46250]	Loss: 0.2768	LR: 0.020000
Training Epoch: 11 [2048/46250]	Loss: 0.3451	LR: 0.020000
Training Epoch: 11 [2304/46250]	Loss: 0.4007	LR: 0.020000
Training Epoch: 11 [2560/46250]	Loss: 0.2952	LR: 0.020000
Training Epoch: 11 [2816/46250]	Loss: 0.4042	LR: 0.020000
Training Epoch: 11 [3072/46250]	Loss: 0.3221	LR: 0.020000
Training Epoch: 11 [3328/46250]	Loss: 0.4055	LR: 0.020000
Training Epoch: 11 [3584/46250]	Loss: 0.3299	LR: 0.020000
Training Epoch: 11 [3840/46250]	Loss: 0.3386	LR: 0.020000
Training Epoch: 11 [4096/46250]	Loss: 0.4225	LR: 0.020000
Training Epoch: 11 [4352/46250]	Loss: 0.3275	LR: 0.020000
Training Epoch: 11 [4608/46250]	Loss: 0.3661	LR: 0.020000
Training Epoch: 11 [4864/46250]	Loss: 0.3937	LR: 0.020000
Training Epoch: 11 [5120/46250]	Loss: 0.3160	LR: 0.020000
Training Epoch: 11 [5376/46250]	Loss: 0.3409	LR: 0.020000
Training Epoch: 11 [5632/46250]	Loss: 0.4132	LR: 0.020000
Training Epoch: 11 [5888/46250]	Loss: 0.4142	LR: 0.020000
Training Epoch: 11 [6144/46250]	Loss: 0.4492	LR: 0.020000
Training Epoch: 11 [6400/46250]	Loss: 0.4387	LR: 0.020000
Training Epoch: 11 [6656/46250]	Loss: 0.3873	LR: 0.020000
Training Epoch: 11 [6912/46250]	Loss: 0.3152	LR: 0.020000
Training Epoch: 11 [7168/46250]	Loss: 0.3950	LR: 0.020000
Training Epoch: 11 [7424/46250]	Loss: 0.4576	LR: 0.020000
Training Epoch: 11 [7680/46250]	Loss: 0.3743	LR: 0.020000
Training Epoch: 11 [7936/46250]	Loss: 0.3578	LR: 0.020000
Training Epoch: 11 [8192/46250]	Loss: 0.2989	LR: 0.020000
Training Epoch: 11 [8448/46250]	Loss: 0.2817	LR: 0.020000
Training Epoch: 11 [8704/46250]	Loss: 0.3901	LR: 0.020000
Training Epoch: 11 [8960/46250]	Loss: 0.3437	LR: 0.020000
Training Epoch: 11 [9216/46250]	Loss: 0.3987	LR: 0.020000
Training Epoch: 11 [9472/46250]	Loss: 0.3891	LR: 0.020000
Training Epoch: 11 [9728/46250]	Loss: 0.2533	LR: 0.020000
Training Epoch: 11 [9984/46250]	Loss: 0.3444	LR: 0.020000
Training Epoch: 11 [10240/46250]	Loss: 0.3263	LR: 0.020000
Training Epoch: 11 [10496/46250]	Loss: 0.3966	LR: 0.020000
Training Epoch: 11 [10752/46250]	Loss: 0.3180	LR: 0.020000
Training Epoch: 11 [11008/46250]	Loss: 0.2919	LR: 0.020000
Training Epoch: 11 [11264/46250]	Loss: 0.3401	LR: 0.020000
Training Epoch: 11 [11520/46250]	Loss: 0.3728	LR: 0.020000
Training Epoch: 11 [11776/46250]	Loss: 0.3835	LR: 0.020000
Training Epoch: 11 [12032/46250]	Loss: 0.2783	LR: 0.020000
Training Epoch: 11 [12288/46250]	Loss: 0.3615	LR: 0.020000
Training Epoch: 11 [12544/46250]	Loss: 0.3517	LR: 0.020000
Training Epoch: 11 [12800/46250]	Loss: 0.3724	LR: 0.020000
Training Epoch: 11 [13056/46250]	Loss: 0.3494	LR: 0.020000
Training Epoch: 11 [13312/46250]	Loss: 0.4161	LR: 0.020000
Training Epoch: 11 [13568/46250]	Loss: 0.4345	LR: 0.020000
Training Epoch: 11 [13824/46250]	Loss: 0.3210	LR: 0.020000
Training Epoch: 11 [14080/46250]	Loss: 0.3975	LR: 0.020000
Training Epoch: 11 [14336/46250]	Loss: 0.4225	LR: 0.020000
Training Epoch: 11 [14592/46250]	Loss: 0.3268	LR: 0.020000
Training Epoch: 11 [14848/46250]	Loss: 0.4260	LR: 0.020000
Training Epoch: 11 [15104/46250]	Loss: 0.3863	LR: 0.020000
Training Epoch: 11 [15360/46250]	Loss: 0.3448	LR: 0.020000
Training Epoch: 11 [15616/46250]	Loss: 0.3366	LR: 0.020000
Training Epoch: 11 [15872/46250]	Loss: 0.3594	LR: 0.020000
Training Epoch: 11 [16128/46250]	Loss: 0.4045	LR: 0.020000
Training Epoch: 11 [16384/46250]	Loss: 0.3188	LR: 0.020000
Training Epoch: 11 [16640/46250]	Loss: 0.3289	LR: 0.020000
Training Epoch: 11 [16896/46250]	Loss: 0.3072	LR: 0.020000
Training Epoch: 11 [17152/46250]	Loss: 0.4035	LR: 0.020000
Training Epoch: 11 [17408/46250]	Loss: 0.4350	LR: 0.020000
Training Epoch: 11 [17664/46250]	Loss: 0.3406	LR: 0.020000
Training Epoch: 11 [17920/46250]	Loss: 0.3856	LR: 0.020000
Training Epoch: 11 [18176/46250]	Loss: 0.3466	LR: 0.020000
Training Epoch: 11 [18432/46250]	Loss: 0.4599	LR: 0.020000
Training Epoch: 11 [18688/46250]	Loss: 0.3612	LR: 0.020000
Training Epoch: 11 [18944/46250]	Loss: 0.3288	LR: 0.020000
Training Epoch: 11 [19200/46250]	Loss: 0.2996	LR: 0.020000
Training Epoch: 11 [19456/46250]	Loss: 0.3796	LR: 0.020000
Training Epoch: 11 [19712/46250]	Loss: 0.3586	LR: 0.020000
Training Epoch: 11 [19968/46250]	Loss: 0.4174	LR: 0.020000
Training Epoch: 11 [20224/46250]	Loss: 0.3622	LR: 0.020000
Training Epoch: 11 [20480/46250]	Loss: 0.4107	LR: 0.020000
Training Epoch: 11 [20736/46250]	Loss: 0.2719	LR: 0.020000
Training Epoch: 11 [20992/46250]	Loss: 0.3950	LR: 0.020000
Training Epoch: 11 [21248/46250]	Loss: 0.3181	LR: 0.020000
Training Epoch: 11 [21504/46250]	Loss: 0.3849	LR: 0.020000
Training Epoch: 11 [21760/46250]	Loss: 0.3863	LR: 0.020000
Training Epoch: 11 [22016/46250]	Loss: 0.3929	LR: 0.020000
Training Epoch: 11 [22272/46250]	Loss: 0.2755	LR: 0.020000
Training Epoch: 11 [22528/46250]	Loss: 0.3596	LR: 0.020000
Training Epoch: 11 [22784/46250]	Loss: 0.4193	LR: 0.020000
Training Epoch: 11 [23040/46250]	Loss: 0.3558	LR: 0.020000
Training Epoch: 11 [23296/46250]	Loss: 0.3370	LR: 0.020000
Training Epoch: 11 [23552/46250]	Loss: 0.3567	LR: 0.020000
Training Epoch: 11 [23808/46250]	Loss: 0.3990	LR: 0.020000
Training Epoch: 11 [24064/46250]	Loss: 0.3634	LR: 0.020000
Training Epoch: 11 [24320/46250]	Loss: 0.3711	LR: 0.020000
Training Epoch: 11 [24576/46250]	Loss: 0.4672	LR: 0.020000
Training Epoch: 11 [24832/46250]	Loss: 0.3730	LR: 0.020000
Training Epoch: 11 [25088/46250]	Loss: 0.3361	LR: 0.020000
Training Epoch: 11 [25344/46250]	Loss: 0.3250	LR: 0.020000
Training Epoch: 11 [25600/46250]	Loss: 0.2788	LR: 0.020000
Training Epoch: 11 [25856/46250]	Loss: 0.2575	LR: 0.020000
Training Epoch: 11 [26112/46250]	Loss: 0.4153	LR: 0.020000
Training Epoch: 11 [26368/46250]	Loss: 0.3444	LR: 0.020000
Training Epoch: 11 [26624/46250]	Loss: 0.3446	LR: 0.020000
Training Epoch: 11 [26880/46250]	Loss: 0.3524	LR: 0.020000
Training Epoch: 11 [27136/46250]	Loss: 0.3755	LR: 0.020000
Training Epoch: 11 [27392/46250]	Loss: 0.3616	LR: 0.020000
Training Epoch: 11 [27648/46250]	Loss: 0.3864	LR: 0.020000
Training Epoch: 11 [27904/46250]	Loss: 0.3455	LR: 0.020000
Training Epoch: 11 [28160/46250]	Loss: 0.3423	LR: 0.020000
Training Epoch: 11 [28416/46250]	Loss: 0.3295	LR: 0.020000
Training Epoch: 11 [28672/46250]	Loss: 0.2955	LR: 0.020000
Training Epoch: 11 [28928/46250]	Loss: 0.3721	LR: 0.020000
Training Epoch: 11 [29184/46250]	Loss: 0.3630	LR: 0.020000
Training Epoch: 11 [29440/46250]	Loss: 0.2885	LR: 0.020000
Training Epoch: 11 [29696/46250]	Loss: 0.3866	LR: 0.020000
Training Epoch: 11 [29952/46250]	Loss: 0.3459	LR: 0.020000
Training Epoch: 11 [30208/46250]	Loss: 0.4337	LR: 0.020000
Training Epoch: 11 [30464/46250]	Loss: 0.3435	LR: 0.020000
Training Epoch: 11 [30720/46250]	Loss: 0.3496	LR: 0.020000
Training Epoch: 11 [30976/46250]	Loss: 0.4458	LR: 0.020000
Training Epoch: 11 [31232/46250]	Loss: 0.4007	LR: 0.020000
Training Epoch: 11 [31488/46250]	Loss: 0.3313	LR: 0.020000
Training Epoch: 11 [31744/46250]	Loss: 0.4154	LR: 0.020000
Training Epoch: 11 [32000/46250]	Loss: 0.3234	LR: 0.020000
Training Epoch: 11 [32256/46250]	Loss: 0.2985	LR: 0.020000
Training Epoch: 11 [32512/46250]	Loss: 0.3411	LR: 0.020000
Training Epoch: 11 [32768/46250]	Loss: 0.3393	LR: 0.020000
Training Epoch: 11 [33024/46250]	Loss: 0.3765	LR: 0.020000
Training Epoch: 11 [33280/46250]	Loss: 0.4545	LR: 0.020000
Training Epoch: 11 [33536/46250]	Loss: 0.3827	LR: 0.020000
Training Epoch: 11 [33792/46250]	Loss: 0.3302	LR: 0.020000
Training Epoch: 11 [34048/46250]	Loss: 0.3444	LR: 0.020000
Training Epoch: 11 [34304/46250]	Loss: 0.3424	LR: 0.020000
Training Epoch: 11 [34560/46250]	Loss: 0.4697	LR: 0.020000
Training Epoch: 11 [34816/46250]	Loss: 0.3501	LR: 0.020000
Training Epoch: 11 [35072/46250]	Loss: 0.4449	LR: 0.020000
Training Epoch: 11 [35328/46250]	Loss: 0.3878	LR: 0.020000
Training Epoch: 11 [35584/46250]	Loss: 0.3860	LR: 0.020000
Training Epoch: 11 [35840/46250]	Loss: 0.4369	LR: 0.020000
Training Epoch: 11 [36096/46250]	Loss: 0.3482	LR: 0.020000
Training Epoch: 11 [36352/46250]	Loss: 0.2980	LR: 0.020000
Training Epoch: 11 [36608/46250]	Loss: 0.4105	LR: 0.020000
Training Epoch: 11 [36864/46250]	Loss: 0.4653	LR: 0.020000
Training Epoch: 11 [37120/46250]	Loss: 0.3811	LR: 0.020000
Training Epoch: 11 [37376/46250]	Loss: 0.4125	LR: 0.020000
Training Epoch: 11 [37632/46250]	Loss: 0.5084	LR: 0.020000
Training Epoch: 11 [37888/46250]	Loss: 0.3643	LR: 0.020000
Training Epoch: 11 [38144/46250]	Loss: 0.2877	LR: 0.020000
Training Epoch: 11 [38400/46250]	Loss: 0.3982	LR: 0.020000
Training Epoch: 11 [38656/46250]	Loss: 0.3762	LR: 0.020000
Training Epoch: 11 [38912/46250]	Loss: 0.3912	LR: 0.020000
Training Epoch: 11 [39168/46250]	Loss: 0.3266	LR: 0.020000
Training Epoch: 11 [39424/46250]	Loss: 0.3161	LR: 0.020000
Training Epoch: 11 [39680/46250]	Loss: 0.3207	LR: 0.020000
Training Epoch: 11 [39936/46250]	Loss: 0.3891	LR: 0.020000
Training Epoch: 11 [40192/46250]	Loss: 0.3195	LR: 0.020000
Training Epoch: 11 [40448/46250]	Loss: 0.3800	LR: 0.020000
Training Epoch: 11 [40704/46250]	Loss: 0.4173	LR: 0.020000
Training Epoch: 11 [40960/46250]	Loss: 0.3644	LR: 0.020000
Training Epoch: 11 [41216/46250]	Loss: 0.3461	LR: 0.020000
Training Epoch: 11 [41472/46250]	Loss: 0.3518	LR: 0.020000
Training Epoch: 11 [41728/46250]	Loss: 0.3969	LR: 0.020000
Training Epoch: 11 [41984/46250]	Loss: 0.3784	LR: 0.020000
Training Epoch: 11 [42240/46250]	Loss: 0.3702	LR: 0.020000
Training Epoch: 11 [42496/46250]	Loss: 0.3607	LR: 0.020000
Training Epoch: 11 [42752/46250]	Loss: 0.3579	LR: 0.020000
Training Epoch: 11 [43008/46250]	Loss: 0.3864	LR: 0.020000
Training Epoch: 11 [43264/46250]	Loss: 0.4093	LR: 0.020000
Training Epoch: 11 [43520/46250]	Loss: 0.3257	LR: 0.020000
Training Epoch: 11 [43776/46250]	Loss: 0.3066	LR: 0.020000
Training Epoch: 11 [44032/46250]	Loss: 0.3801	LR: 0.020000
Training Epoch: 11 [44288/46250]	Loss: 0.3418	LR: 0.020000
Training Epoch: 11 [44544/46250]	Loss: 0.3580	LR: 0.020000
Training Epoch: 11 [44800/46250]	Loss: 0.3503	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.4050	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.4308	LR: 0.020000
Training Epoch: 11 [45568/46250]	Loss: 0.3224	LR: 0.020000
Training Epoch: 11 [45824/46250]	Loss: 0.3375	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.4244	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.5655	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3659, Train Accuracy: 0.8733
Epoch 11 training time consumed: 27.66s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8654, Time consumed:0.93s
Training Epoch: 12 [256/46250]	Loss: 0.3239	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3688	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.4115	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3753	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.4144	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3689	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.2932	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3673	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.2501	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3643	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.2910	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3416	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.2784	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.2905	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.3269	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3719	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.3390	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3287	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.2996	LR: 0.004000
Training Epoch: 12 [5376/46250]	Loss: 0.3343	LR: 0.004000
Training Epoch: 12 [5632/46250]	Loss: 0.2827	LR: 0.004000
Training Epoch: 12 [5888/46250]	Loss: 0.3070	LR: 0.004000
Training Epoch: 12 [6144/46250]	Loss: 0.3456	LR: 0.004000
Training Epoch: 12 [6400/46250]	Loss: 0.2845	LR: 0.004000
Training Epoch: 12 [6656/46250]	Loss: 0.3508	LR: 0.004000
Training Epoch: 12 [6912/46250]	Loss: 0.3830	LR: 0.004000
Training Epoch: 12 [7168/46250]	Loss: 0.3077	LR: 0.004000
Training Epoch: 12 [7424/46250]	Loss: 0.2601	LR: 0.004000
Training Epoch: 12 [7680/46250]	Loss: 0.2872	LR: 0.004000
Training Epoch: 12 [7936/46250]	Loss: 0.3395	LR: 0.004000
Training Epoch: 12 [8192/46250]	Loss: 0.3845	LR: 0.004000
Training Epoch: 12 [8448/46250]	Loss: 0.3819	LR: 0.004000
Training Epoch: 12 [8704/46250]	Loss: 0.3052	LR: 0.004000
Training Epoch: 12 [8960/46250]	Loss: 0.3797	LR: 0.004000
Training Epoch: 12 [9216/46250]	Loss: 0.3221	LR: 0.004000
Training Epoch: 12 [9472/46250]	Loss: 0.3413	LR: 0.004000
Training Epoch: 12 [9728/46250]	Loss: 0.3264	LR: 0.004000
Training Epoch: 12 [9984/46250]	Loss: 0.3503	LR: 0.004000
Training Epoch: 12 [10240/46250]	Loss: 0.3418	LR: 0.004000
Training Epoch: 12 [10496/46250]	Loss: 0.3729	LR: 0.004000
Training Epoch: 12 [10752/46250]	Loss: 0.3039	LR: 0.004000
Training Epoch: 12 [11008/46250]	Loss: 0.3119	LR: 0.004000
Training Epoch: 12 [11264/46250]	Loss: 0.3299	LR: 0.004000
Training Epoch: 12 [11520/46250]	Loss: 0.3284	LR: 0.004000
Training Epoch: 12 [11776/46250]	Loss: 0.2675	LR: 0.004000
Training Epoch: 12 [12032/46250]	Loss: 0.3428	LR: 0.004000
Training Epoch: 12 [12288/46250]	Loss: 0.2668	LR: 0.004000
Training Epoch: 12 [12544/46250]	Loss: 0.3817	LR: 0.004000
Training Epoch: 12 [12800/46250]	Loss: 0.3770	LR: 0.004000
Training Epoch: 12 [13056/46250]	Loss: 0.3555	LR: 0.004000
Training Epoch: 12 [13312/46250]	Loss: 0.3117	LR: 0.004000
Training Epoch: 12 [13568/46250]	Loss: 0.2762	LR: 0.004000
Training Epoch: 12 [13824/46250]	Loss: 0.2306	LR: 0.004000
Training Epoch: 12 [14080/46250]	Loss: 0.3479	LR: 0.004000
Training Epoch: 12 [14336/46250]	Loss: 0.1971	LR: 0.004000
Training Epoch: 12 [14592/46250]	Loss: 0.3938	LR: 0.004000
Training Epoch: 12 [14848/46250]	Loss: 0.3539	LR: 0.004000
Training Epoch: 12 [15104/46250]	Loss: 0.2865	LR: 0.004000
Training Epoch: 12 [15360/46250]	Loss: 0.3447	LR: 0.004000
Training Epoch: 12 [15616/46250]	Loss: 0.3434	LR: 0.004000
Training Epoch: 12 [15872/46250]	Loss: 0.3876	LR: 0.004000
Training Epoch: 12 [16128/46250]	Loss: 0.4308	LR: 0.004000
Training Epoch: 12 [16384/46250]	Loss: 0.3058	LR: 0.004000
Training Epoch: 12 [16640/46250]	Loss: 0.2470	LR: 0.004000
Training Epoch: 12 [16896/46250]	Loss: 0.3154	LR: 0.004000
Training Epoch: 12 [17152/46250]	Loss: 0.3091	LR: 0.004000
Training Epoch: 12 [17408/46250]	Loss: 0.2918	LR: 0.004000
Training Epoch: 12 [17664/46250]	Loss: 0.2727	LR: 0.004000
Training Epoch: 12 [17920/46250]	Loss: 0.3488	LR: 0.004000
Training Epoch: 12 [18176/46250]	Loss: 0.3333	LR: 0.004000
Training Epoch: 12 [18432/46250]	Loss: 0.3137	LR: 0.004000
Training Epoch: 12 [18688/46250]	Loss: 0.3530	LR: 0.004000
Training Epoch: 12 [18944/46250]	Loss: 0.3359	LR: 0.004000
Training Epoch: 12 [19200/46250]	Loss: 0.3044	LR: 0.004000
Training Epoch: 12 [19456/46250]	Loss: 0.3341	LR: 0.004000
Training Epoch: 12 [19712/46250]	Loss: 0.3453	LR: 0.004000
Training Epoch: 12 [19968/46250]	Loss: 0.3907	LR: 0.004000
Training Epoch: 12 [20224/46250]	Loss: 0.3505	LR: 0.004000
Training Epoch: 12 [20480/46250]	Loss: 0.2812	LR: 0.004000
Training Epoch: 12 [20736/46250]	Loss: 0.2904	LR: 0.004000
Training Epoch: 12 [20992/46250]	Loss: 0.3527	LR: 0.004000
Training Epoch: 12 [21248/46250]	Loss: 0.2706	LR: 0.004000
Training Epoch: 12 [21504/46250]	Loss: 0.3162	LR: 0.004000
Training Epoch: 12 [21760/46250]	Loss: 0.3686	LR: 0.004000
Training Epoch: 12 [22016/46250]	Loss: 0.3104	LR: 0.004000
Training Epoch: 12 [22272/46250]	Loss: 0.4398	LR: 0.004000
Training Epoch: 12 [22528/46250]	Loss: 0.2718	LR: 0.004000
Training Epoch: 12 [22784/46250]	Loss: 0.2459	LR: 0.004000
Training Epoch: 12 [23040/46250]	Loss: 0.2879	LR: 0.004000
Training Epoch: 12 [23296/46250]	Loss: 0.2542	LR: 0.004000
Training Epoch: 12 [23552/46250]	Loss: 0.3181	LR: 0.004000
Training Epoch: 12 [23808/46250]	Loss: 0.3874	LR: 0.004000
Training Epoch: 12 [24064/46250]	Loss: 0.3500	LR: 0.004000
Training Epoch: 12 [24320/46250]	Loss: 0.2804	LR: 0.004000
Training Epoch: 12 [24576/46250]	Loss: 0.3481	LR: 0.004000
Training Epoch: 12 [24832/46250]	Loss: 0.3118	LR: 0.004000
Training Epoch: 12 [25088/46250]	Loss: 0.3623	LR: 0.004000
Training Epoch: 12 [25344/46250]	Loss: 0.3489	LR: 0.004000
Training Epoch: 12 [25600/46250]	Loss: 0.2824	LR: 0.004000
Training Epoch: 12 [25856/46250]	Loss: 0.2769	LR: 0.004000
Training Epoch: 12 [26112/46250]	Loss: 0.3252	LR: 0.004000
Training Epoch: 12 [26368/46250]	Loss: 0.4285	LR: 0.004000
Training Epoch: 12 [26624/46250]	Loss: 0.4089	LR: 0.004000
Training Epoch: 12 [26880/46250]	Loss: 0.2647	LR: 0.004000
Training Epoch: 12 [27136/46250]	Loss: 0.2863	LR: 0.004000
Training Epoch: 12 [27392/46250]	Loss: 0.3078	LR: 0.004000
Training Epoch: 12 [27648/46250]	Loss: 0.3079	LR: 0.004000
Training Epoch: 12 [27904/46250]	Loss: 0.2943	LR: 0.004000
Training Epoch: 12 [28160/46250]	Loss: 0.3452	LR: 0.004000
Training Epoch: 12 [28416/46250]	Loss: 0.3335	LR: 0.004000
Training Epoch: 12 [28672/46250]	Loss: 0.3006	LR: 0.004000
Training Epoch: 12 [28928/46250]	Loss: 0.3404	LR: 0.004000
Training Epoch: 12 [29184/46250]	Loss: 0.3697	LR: 0.004000
Training Epoch: 12 [29440/46250]	Loss: 0.3093	LR: 0.004000
Training Epoch: 12 [29696/46250]	Loss: 0.2467	LR: 0.004000
Training Epoch: 12 [29952/46250]	Loss: 0.3031	LR: 0.004000
Training Epoch: 12 [30208/46250]	Loss: 0.3992	LR: 0.004000
Training Epoch: 12 [30464/46250]	Loss: 0.3085	LR: 0.004000
Training Epoch: 12 [30720/46250]	Loss: 0.3126	LR: 0.004000
Training Epoch: 12 [30976/46250]	Loss: 0.3731	LR: 0.004000
Training Epoch: 12 [31232/46250]	Loss: 0.2739	LR: 0.004000
Training Epoch: 12 [31488/46250]	Loss: 0.2535	LR: 0.004000
Training Epoch: 12 [31744/46250]	Loss: 0.2839	LR: 0.004000
Training Epoch: 12 [32000/46250]	Loss: 0.3455	LR: 0.004000
Training Epoch: 12 [32256/46250]	Loss: 0.2893	LR: 0.004000
Training Epoch: 12 [32512/46250]	Loss: 0.3533	LR: 0.004000
Training Epoch: 12 [32768/46250]	Loss: 0.3170	LR: 0.004000
Training Epoch: 12 [33024/46250]	Loss: 0.3004	LR: 0.004000
Training Epoch: 12 [33280/46250]	Loss: 0.3813	LR: 0.004000
Training Epoch: 12 [33536/46250]	Loss: 0.3442	LR: 0.004000
Training Epoch: 12 [33792/46250]	Loss: 0.3077	LR: 0.004000
Training Epoch: 12 [34048/46250]	Loss: 0.3583	LR: 0.004000
Training Epoch: 12 [34304/46250]	Loss: 0.2842	LR: 0.004000
Training Epoch: 12 [34560/46250]	Loss: 0.2974	LR: 0.004000
Training Epoch: 12 [34816/46250]	Loss: 0.3885	LR: 0.004000
Training Epoch: 12 [35072/46250]	Loss: 0.3392	LR: 0.004000
Training Epoch: 12 [35328/46250]	Loss: 0.3033	LR: 0.004000
Training Epoch: 12 [35584/46250]	Loss: 0.3471	LR: 0.004000
Training Epoch: 12 [35840/46250]	Loss: 0.3567	LR: 0.004000
Training Epoch: 12 [36096/46250]	Loss: 0.3686	LR: 0.004000
Training Epoch: 12 [36352/46250]	Loss: 0.3131	LR: 0.004000
Training Epoch: 12 [36608/46250]	Loss: 0.2919	LR: 0.004000
Training Epoch: 12 [36864/46250]	Loss: 0.3206	LR: 0.004000
Training Epoch: 12 [37120/46250]	Loss: 0.3612	LR: 0.004000
Training Epoch: 12 [37376/46250]	Loss: 0.2421	LR: 0.004000
Training Epoch: 12 [37632/46250]	Loss: 0.2960	LR: 0.004000
Training Epoch: 12 [37888/46250]	Loss: 0.2951	LR: 0.004000
Training Epoch: 12 [38144/46250]	Loss: 0.2154	LR: 0.004000
Training Epoch: 12 [38400/46250]	Loss: 0.2946	LR: 0.004000
Training Epoch: 12 [38656/46250]	Loss: 0.3093	LR: 0.004000
Training Epoch: 12 [38912/46250]	Loss: 0.4002	LR: 0.004000
Training Epoch: 12 [39168/46250]	Loss: 0.3094	LR: 0.004000
Training Epoch: 12 [39424/46250]	Loss: 0.2589	LR: 0.004000
Training Epoch: 12 [39680/46250]	Loss: 0.3249	LR: 0.004000
Training Epoch: 12 [39936/46250]	Loss: 0.2812	LR: 0.004000
Training Epoch: 12 [40192/46250]	Loss: 0.2221	LR: 0.004000
Training Epoch: 12 [40448/46250]	Loss: 0.2874	LR: 0.004000
Training Epoch: 12 [40704/46250]	Loss: 0.3961	LR: 0.004000
Training Epoch: 12 [40960/46250]	Loss: 0.3315	LR: 0.004000
Training Epoch: 12 [41216/46250]	Loss: 0.3251	LR: 0.004000
Training Epoch: 12 [41472/46250]	Loss: 0.3023	LR: 0.004000
Training Epoch: 12 [41728/46250]	Loss: 0.2555	LR: 0.004000
Training Epoch: 12 [41984/46250]	Loss: 0.2867	LR: 0.004000
Training Epoch: 12 [42240/46250]	Loss: 0.2928	LR: 0.004000
Training Epoch: 12 [42496/46250]	Loss: 0.4059	LR: 0.004000
Training Epoch: 12 [42752/46250]	Loss: 0.3545	LR: 0.004000
Training Epoch: 12 [43008/46250]	Loss: 0.3269	LR: 0.004000
Training Epoch: 12 [43264/46250]	Loss: 0.3360	LR: 0.004000
Training Epoch: 12 [43520/46250]	Loss: 0.2823	LR: 0.004000
Training Epoch: 12 [43776/46250]	Loss: 0.3089	LR: 0.004000
Training Epoch: 12 [44032/46250]	Loss: 0.3188	LR: 0.004000
Training Epoch: 12 [44288/46250]	Loss: 0.3478	LR: 0.004000
Training Epoch: 12 [44544/46250]	Loss: 0.3169	LR: 0.004000
Training Epoch: 12 [44800/46250]	Loss: 0.2714	LR: 0.004000
Training Epoch: 12 [45056/46250]	Loss: 0.3113	LR: 0.004000
Training Epoch: 12 [45312/46250]	Loss: 0.3021	LR: 0.004000
Training Epoch: 12 [45568/46250]	Loss: 0.2529	LR: 0.004000
Training Epoch: 12 [45824/46250]	Loss: 0.3605	LR: 0.004000
Training Epoch: 12 [46080/46250]	Loss: 0.4050	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.2713	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3229, Train Accuracy: 0.8877
Epoch 12 training time consumed: 27.71s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8843, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3139	LR: 0.004000
Training Epoch: 13 [512/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 13 [768/46250]	Loss: 0.3185	LR: 0.004000
Training Epoch: 13 [1024/46250]	Loss: 0.2721	LR: 0.004000
Training Epoch: 13 [1280/46250]	Loss: 0.2746	LR: 0.004000
Training Epoch: 13 [1536/46250]	Loss: 0.2734	LR: 0.004000
Training Epoch: 13 [1792/46250]	Loss: 0.2513	LR: 0.004000
Training Epoch: 13 [2048/46250]	Loss: 0.3805	LR: 0.004000
Training Epoch: 13 [2304/46250]	Loss: 0.2948	LR: 0.004000
Training Epoch: 13 [2560/46250]	Loss: 0.2668	LR: 0.004000
Training Epoch: 13 [2816/46250]	Loss: 0.2840	LR: 0.004000
Training Epoch: 13 [3072/46250]	Loss: 0.2782	LR: 0.004000
Training Epoch: 13 [3328/46250]	Loss: 0.3327	LR: 0.004000
Training Epoch: 13 [3584/46250]	Loss: 0.3182	LR: 0.004000
Training Epoch: 13 [3840/46250]	Loss: 0.2856	LR: 0.004000
Training Epoch: 13 [4096/46250]	Loss: 0.2639	LR: 0.004000
Training Epoch: 13 [4352/46250]	Loss: 0.2780	LR: 0.004000
Training Epoch: 13 [4608/46250]	Loss: 0.3169	LR: 0.004000
Training Epoch: 13 [4864/46250]	Loss: 0.2721	LR: 0.004000
Training Epoch: 13 [5120/46250]	Loss: 0.2085	LR: 0.004000
Training Epoch: 13 [5376/46250]	Loss: 0.2891	LR: 0.004000
Training Epoch: 13 [5632/46250]	Loss: 0.2315	LR: 0.004000
Training Epoch: 13 [5888/46250]	Loss: 0.3071	LR: 0.004000
Training Epoch: 13 [6144/46250]	Loss: 0.2922	LR: 0.004000
Training Epoch: 13 [6400/46250]	Loss: 0.3163	LR: 0.004000
Training Epoch: 13 [6656/46250]	Loss: 0.3225	LR: 0.004000
Training Epoch: 13 [6912/46250]	Loss: 0.3686	LR: 0.004000
Training Epoch: 13 [7168/46250]	Loss: 0.2924	LR: 0.004000
Training Epoch: 13 [7424/46250]	Loss: 0.3503	LR: 0.004000
Training Epoch: 13 [7680/46250]	Loss: 0.2803	LR: 0.004000
Training Epoch: 13 [7936/46250]	Loss: 0.3140	LR: 0.004000
Training Epoch: 13 [8192/46250]	Loss: 0.3071	LR: 0.004000
Training Epoch: 13 [8448/46250]	Loss: 0.2288	LR: 0.004000
Training Epoch: 13 [8704/46250]	Loss: 0.2627	LR: 0.004000
Training Epoch: 13 [8960/46250]	Loss: 0.2382	LR: 0.004000
Training Epoch: 13 [9216/46250]	Loss: 0.3607	LR: 0.004000
Training Epoch: 13 [9472/46250]	Loss: 0.3214	LR: 0.004000
Training Epoch: 13 [9728/46250]	Loss: 0.3341	LR: 0.004000
Training Epoch: 13 [9984/46250]	Loss: 0.3135	LR: 0.004000
Training Epoch: 13 [10240/46250]	Loss: 0.2871	LR: 0.004000
Training Epoch: 13 [10496/46250]	Loss: 0.2509	LR: 0.004000
Training Epoch: 13 [10752/46250]	Loss: 0.3179	LR: 0.004000
Training Epoch: 13 [11008/46250]	Loss: 0.2916	LR: 0.004000
Training Epoch: 13 [11264/46250]	Loss: 0.2910	LR: 0.004000
Training Epoch: 13 [11520/46250]	Loss: 0.2940	LR: 0.004000
Training Epoch: 13 [11776/46250]	Loss: 0.3233	LR: 0.004000
Training Epoch: 13 [12032/46250]	Loss: 0.2754	LR: 0.004000
Training Epoch: 13 [12288/46250]	Loss: 0.2919	LR: 0.004000
Training Epoch: 13 [12544/46250]	Loss: 0.3285	LR: 0.004000
Training Epoch: 13 [12800/46250]	Loss: 0.2570	LR: 0.004000
Training Epoch: 13 [13056/46250]	Loss: 0.2817	LR: 0.004000
Training Epoch: 13 [13312/46250]	Loss: 0.2992	LR: 0.004000
Training Epoch: 13 [13568/46250]	Loss: 0.3414	LR: 0.004000
Training Epoch: 13 [13824/46250]	Loss: 0.3105	LR: 0.004000
Training Epoch: 13 [14080/46250]	Loss: 0.1836	LR: 0.004000
Training Epoch: 13 [14336/46250]	Loss: 0.2938	LR: 0.004000
Training Epoch: 13 [14592/46250]	Loss: 0.3195	LR: 0.004000
Training Epoch: 13 [14848/46250]	Loss: 0.3541	LR: 0.004000
Training Epoch: 13 [15104/46250]	Loss: 0.2579	LR: 0.004000
Training Epoch: 13 [15360/46250]	Loss: 0.2117	LR: 0.004000
Training Epoch: 13 [15616/46250]	Loss: 0.2784	LR: 0.004000
Training Epoch: 13 [15872/46250]	Loss: 0.3022	LR: 0.004000
Training Epoch: 13 [16128/46250]	Loss: 0.2520	LR: 0.004000
Training Epoch: 13 [16384/46250]	Loss: 0.2671	LR: 0.004000
Training Epoch: 13 [16640/46250]	Loss: 0.3078	LR: 0.004000
Training Epoch: 13 [16896/46250]	Loss: 0.2301	LR: 0.004000
Training Epoch: 13 [17152/46250]	Loss: 0.3584	LR: 0.004000
Training Epoch: 13 [17408/46250]	Loss: 0.3354	LR: 0.004000
Training Epoch: 13 [17664/46250]	Loss: 0.3800	LR: 0.004000
Training Epoch: 13 [17920/46250]	Loss: 0.3169	LR: 0.004000
Training Epoch: 13 [18176/46250]	Loss: 0.2959	LR: 0.004000
Training Epoch: 13 [18432/46250]	Loss: 0.3989	LR: 0.004000
Training Epoch: 13 [18688/46250]	Loss: 0.2470	LR: 0.004000
Training Epoch: 13 [18944/46250]	Loss: 0.2804	LR: 0.004000
Training Epoch: 13 [19200/46250]	Loss: 0.2623	LR: 0.004000
Training Epoch: 13 [19456/46250]	Loss: 0.4313	LR: 0.004000
Training Epoch: 13 [19712/46250]	Loss: 0.2555	LR: 0.004000
Training Epoch: 13 [19968/46250]	Loss: 0.3092	LR: 0.004000
Training Epoch: 13 [20224/46250]	Loss: 0.2319	LR: 0.004000
Training Epoch: 13 [20480/46250]	Loss: 0.3535	LR: 0.004000
Training Epoch: 13 [20736/46250]	Loss: 0.3317	LR: 0.004000
Training Epoch: 13 [20992/46250]	Loss: 0.3073	LR: 0.004000
Training Epoch: 13 [21248/46250]	Loss: 0.3487	LR: 0.004000
Training Epoch: 13 [21504/46250]	Loss: 0.2312	LR: 0.004000
Training Epoch: 13 [21760/46250]	Loss: 0.3005	LR: 0.004000
Training Epoch: 13 [22016/46250]	Loss: 0.2850	LR: 0.004000
Training Epoch: 13 [22272/46250]	Loss: 0.2715	LR: 0.004000
Training Epoch: 13 [22528/46250]	Loss: 0.3050	LR: 0.004000
Training Epoch: 13 [22784/46250]	Loss: 0.2752	LR: 0.004000
Training Epoch: 13 [23040/46250]	Loss: 0.2576	LR: 0.004000
Training Epoch: 13 [23296/46250]	Loss: 0.2842	LR: 0.004000
Training Epoch: 13 [23552/46250]	Loss: 0.2836	LR: 0.004000
Training Epoch: 13 [23808/46250]	Loss: 0.3147	LR: 0.004000
Training Epoch: 13 [24064/46250]	Loss: 0.3933	LR: 0.004000
Training Epoch: 13 [24320/46250]	Loss: 0.4098	LR: 0.004000
Training Epoch: 13 [24576/46250]	Loss: 0.3786	LR: 0.004000
Training Epoch: 13 [24832/46250]	Loss: 0.3569	LR: 0.004000
Training Epoch: 13 [25088/46250]	Loss: 0.2988	LR: 0.004000
Training Epoch: 13 [25344/46250]	Loss: 0.2921	LR: 0.004000
Training Epoch: 13 [25600/46250]	Loss: 0.3395	LR: 0.004000
Training Epoch: 13 [25856/46250]	Loss: 0.2734	LR: 0.004000
Training Epoch: 13 [26112/46250]	Loss: 0.2762	LR: 0.004000
Training Epoch: 13 [26368/46250]	Loss: 0.2989	LR: 0.004000
Training Epoch: 13 [26624/46250]	Loss: 0.2871	LR: 0.004000
Training Epoch: 13 [26880/46250]	Loss: 0.3257	LR: 0.004000
Training Epoch: 13 [27136/46250]	Loss: 0.3277	LR: 0.004000
Training Epoch: 13 [27392/46250]	Loss: 0.3078	LR: 0.004000
Training Epoch: 13 [27648/46250]	Loss: 0.2881	LR: 0.004000
Training Epoch: 13 [27904/46250]	Loss: 0.4337	LR: 0.004000
Training Epoch: 13 [28160/46250]	Loss: 0.2989	LR: 0.004000
Training Epoch: 13 [28416/46250]	Loss: 0.3043	LR: 0.004000
Training Epoch: 13 [28672/46250]	Loss: 0.3493	LR: 0.004000
Training Epoch: 13 [28928/46250]	Loss: 0.2692	LR: 0.004000
Training Epoch: 13 [29184/46250]	Loss: 0.4263	LR: 0.004000
Training Epoch: 13 [29440/46250]	Loss: 0.3210	LR: 0.004000
Training Epoch: 13 [29696/46250]	Loss: 0.3919	LR: 0.004000
Training Epoch: 13 [29952/46250]	Loss: 0.3378	LR: 0.004000
Training Epoch: 13 [30208/46250]	Loss: 0.2815	LR: 0.004000
Training Epoch: 13 [30464/46250]	Loss: 0.2325	LR: 0.004000
Training Epoch: 13 [30720/46250]	Loss: 0.3223	LR: 0.004000
Training Epoch: 13 [30976/46250]	Loss: 0.3801	LR: 0.004000
Training Epoch: 13 [31232/46250]	Loss: 0.2649	LR: 0.004000
Training Epoch: 13 [31488/46250]	Loss: 0.2887	LR: 0.004000
Training Epoch: 13 [31744/46250]	Loss: 0.2298	LR: 0.004000
Training Epoch: 13 [32000/46250]	Loss: 0.3804	LR: 0.004000
Training Epoch: 13 [32256/46250]	Loss: 0.2272	LR: 0.004000
Training Epoch: 13 [32512/46250]	Loss: 0.3462	LR: 0.004000
Training Epoch: 13 [32768/46250]	Loss: 0.3155	LR: 0.004000
Training Epoch: 13 [33024/46250]	Loss: 0.3049	LR: 0.004000
Training Epoch: 13 [33280/46250]	Loss: 0.2750	LR: 0.004000
Training Epoch: 13 [33536/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 13 [33792/46250]	Loss: 0.3454	LR: 0.004000
Training Epoch: 13 [34048/46250]	Loss: 0.3528	LR: 0.004000
Training Epoch: 13 [34304/46250]	Loss: 0.3632	LR: 0.004000
Training Epoch: 13 [34560/46250]	Loss: 0.2344	LR: 0.004000
Training Epoch: 13 [34816/46250]	Loss: 0.3151	LR: 0.004000
Training Epoch: 13 [35072/46250]	Loss: 0.3460	LR: 0.004000
Training Epoch: 13 [35328/46250]	Loss: 0.3142	LR: 0.004000
Training Epoch: 13 [35584/46250]	Loss: 0.3078	LR: 0.004000
Training Epoch: 13 [35840/46250]	Loss: 0.2986	LR: 0.004000
Training Epoch: 13 [36096/46250]	Loss: 0.3475	LR: 0.004000
Training Epoch: 13 [36352/46250]	Loss: 0.2357	LR: 0.004000
Training Epoch: 13 [36608/46250]	Loss: 0.2823	LR: 0.004000
Training Epoch: 13 [36864/46250]	Loss: 0.2611	LR: 0.004000
Training Epoch: 13 [37120/46250]	Loss: 0.3497	LR: 0.004000
Training Epoch: 13 [37376/46250]	Loss: 0.2933	LR: 0.004000
Training Epoch: 13 [37632/46250]	Loss: 0.2674	LR: 0.004000
Training Epoch: 13 [37888/46250]	Loss: 0.2942	LR: 0.004000
Training Epoch: 13 [38144/46250]	Loss: 0.3416	LR: 0.004000
Training Epoch: 13 [38400/46250]	Loss: 0.2446	LR: 0.004000
Training Epoch: 13 [38656/46250]	Loss: 0.2841	LR: 0.004000
Training Epoch: 13 [38912/46250]	Loss: 0.3319	LR: 0.004000
Training Epoch: 13 [39168/46250]	Loss: 0.3101	LR: 0.004000
Training Epoch: 13 [39424/46250]	Loss: 0.2751	LR: 0.004000
Training Epoch: 13 [39680/46250]	Loss: 0.2025	LR: 0.004000
Training Epoch: 13 [39936/46250]	Loss: 0.3361	LR: 0.004000
Training Epoch: 13 [40192/46250]	Loss: 0.2966	LR: 0.004000
Training Epoch: 13 [40448/46250]	Loss: 0.3671	LR: 0.004000
Training Epoch: 13 [40704/46250]	Loss: 0.2108	LR: 0.004000
Training Epoch: 13 [40960/46250]	Loss: 0.3187	LR: 0.004000
Training Epoch: 13 [41216/46250]	Loss: 0.3098	LR: 0.004000
Training Epoch: 13 [41472/46250]	Loss: 0.2505	LR: 0.004000
Training Epoch: 13 [41728/46250]	Loss: 0.2502	LR: 0.004000
Training Epoch: 13 [41984/46250]	Loss: 0.3240	LR: 0.004000
Training Epoch: 13 [42240/46250]	Loss: 0.2415	LR: 0.004000
Training Epoch: 13 [42496/46250]	Loss: 0.2983	LR: 0.004000
Training Epoch: 13 [42752/46250]	Loss: 0.2963	LR: 0.004000
Training Epoch: 13 [43008/46250]	Loss: 0.3581	LR: 0.004000
Training Epoch: 13 [43264/46250]	Loss: 0.2926	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.3182	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3747	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3523	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3992	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3205	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.2915	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.2988	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.3234	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.2286	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.2068	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.3152	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.2983	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3023, Train Accuracy: 0.8957
Epoch 13 training time consumed: 27.77s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8852, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.2522	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.2704	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.2820	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.3469	LR: 0.004000
Training Epoch: 14 [1280/46250]	Loss: 0.3333	LR: 0.004000
Training Epoch: 14 [1536/46250]	Loss: 0.3148	LR: 0.004000
Training Epoch: 14 [1792/46250]	Loss: 0.3068	LR: 0.004000
Training Epoch: 14 [2048/46250]	Loss: 0.2904	LR: 0.004000
Training Epoch: 14 [2304/46250]	Loss: 0.3485	LR: 0.004000
Training Epoch: 14 [2560/46250]	Loss: 0.2046	LR: 0.004000
Training Epoch: 14 [2816/46250]	Loss: 0.2909	LR: 0.004000
Training Epoch: 14 [3072/46250]	Loss: 0.2304	LR: 0.004000
Training Epoch: 14 [3328/46250]	Loss: 0.3798	LR: 0.004000
Training Epoch: 14 [3584/46250]	Loss: 0.3050	LR: 0.004000
Training Epoch: 14 [3840/46250]	Loss: 0.3280	LR: 0.004000
Training Epoch: 14 [4096/46250]	Loss: 0.3139	LR: 0.004000
Training Epoch: 14 [4352/46250]	Loss: 0.2792	LR: 0.004000
Training Epoch: 14 [4608/46250]	Loss: 0.2532	LR: 0.004000
Training Epoch: 14 [4864/46250]	Loss: 0.2915	LR: 0.004000
Training Epoch: 14 [5120/46250]	Loss: 0.3103	LR: 0.004000
Training Epoch: 14 [5376/46250]	Loss: 0.2573	LR: 0.004000
Training Epoch: 14 [5632/46250]	Loss: 0.2687	LR: 0.004000
Training Epoch: 14 [5888/46250]	Loss: 0.3459	LR: 0.004000
Training Epoch: 14 [6144/46250]	Loss: 0.3126	LR: 0.004000
Training Epoch: 14 [6400/46250]	Loss: 0.2657	LR: 0.004000
Training Epoch: 14 [6656/46250]	Loss: 0.3376	LR: 0.004000
Training Epoch: 14 [6912/46250]	Loss: 0.3408	LR: 0.004000
Training Epoch: 14 [7168/46250]	Loss: 0.3170	LR: 0.004000
Training Epoch: 14 [7424/46250]	Loss: 0.3216	LR: 0.004000
Training Epoch: 14 [7680/46250]	Loss: 0.2880	LR: 0.004000
Training Epoch: 14 [7936/46250]	Loss: 0.2332	LR: 0.004000
Training Epoch: 14 [8192/46250]	Loss: 0.3523	LR: 0.004000
Training Epoch: 14 [8448/46250]	Loss: 0.3087	LR: 0.004000
Training Epoch: 14 [8704/46250]	Loss: 0.3561	LR: 0.004000
Training Epoch: 14 [8960/46250]	Loss: 0.1900	LR: 0.004000
Training Epoch: 14 [9216/46250]	Loss: 0.4646	LR: 0.004000
Training Epoch: 14 [9472/46250]	Loss: 0.2753	LR: 0.004000
Training Epoch: 14 [9728/46250]	Loss: 0.2395	LR: 0.004000
Training Epoch: 14 [9984/46250]	Loss: 0.3164	LR: 0.004000
Training Epoch: 14 [10240/46250]	Loss: 0.3414	LR: 0.004000
Training Epoch: 14 [10496/46250]	Loss: 0.2879	LR: 0.004000
Training Epoch: 14 [10752/46250]	Loss: 0.2629	LR: 0.004000
Training Epoch: 14 [11008/46250]	Loss: 0.1906	LR: 0.004000
Training Epoch: 14 [11264/46250]	Loss: 0.3485	LR: 0.004000
Training Epoch: 14 [11520/46250]	Loss: 0.4029	LR: 0.004000
Training Epoch: 14 [11776/46250]	Loss: 0.2917	LR: 0.004000
Training Epoch: 14 [12032/46250]	Loss: 0.3232	LR: 0.004000
Training Epoch: 14 [12288/46250]	Loss: 0.2589	LR: 0.004000
Training Epoch: 14 [12544/46250]	Loss: 0.2264	LR: 0.004000
Training Epoch: 14 [12800/46250]	Loss: 0.3331	LR: 0.004000
Training Epoch: 14 [13056/46250]	Loss: 0.2527	LR: 0.004000
Training Epoch: 14 [13312/46250]	Loss: 0.2082	LR: 0.004000
Training Epoch: 14 [13568/46250]	Loss: 0.2526	LR: 0.004000
Training Epoch: 14 [13824/46250]	Loss: 0.3161	LR: 0.004000
Training Epoch: 14 [14080/46250]	Loss: 0.3184	LR: 0.004000
Training Epoch: 14 [14336/46250]	Loss: 0.3147	LR: 0.004000
Training Epoch: 14 [14592/46250]	Loss: 0.3233	LR: 0.004000
Training Epoch: 14 [14848/46250]	Loss: 0.3566	LR: 0.004000
Training Epoch: 14 [15104/46250]	Loss: 0.3214	LR: 0.004000
Training Epoch: 14 [15360/46250]	Loss: 0.2593	LR: 0.004000
Training Epoch: 14 [15616/46250]	Loss: 0.2985	LR: 0.004000
Training Epoch: 14 [15872/46250]	Loss: 0.2656	LR: 0.004000
Training Epoch: 14 [16128/46250]	Loss: 0.2959	LR: 0.004000
Training Epoch: 14 [16384/46250]	Loss: 0.2744	LR: 0.004000
Training Epoch: 14 [16640/46250]	Loss: 0.2746	LR: 0.004000
Training Epoch: 14 [16896/46250]	Loss: 0.2689	LR: 0.004000
Training Epoch: 14 [17152/46250]	Loss: 0.3164	LR: 0.004000
Training Epoch: 14 [17408/46250]	Loss: 0.2603	LR: 0.004000
Training Epoch: 14 [17664/46250]	Loss: 0.3843	LR: 0.004000
Training Epoch: 14 [17920/46250]	Loss: 0.3265	LR: 0.004000
Training Epoch: 14 [18176/46250]	Loss: 0.2349	LR: 0.004000
Training Epoch: 14 [18432/46250]	Loss: 0.3063	LR: 0.004000
Training Epoch: 14 [18688/46250]	Loss: 0.2801	LR: 0.004000
Training Epoch: 14 [18944/46250]	Loss: 0.2708	LR: 0.004000
Training Epoch: 14 [19200/46250]	Loss: 0.2730	LR: 0.004000
Training Epoch: 14 [19456/46250]	Loss: 0.2273	LR: 0.004000
Training Epoch: 14 [19712/46250]	Loss: 0.2592	LR: 0.004000
Training Epoch: 14 [19968/46250]	Loss: 0.3301	LR: 0.004000
Training Epoch: 14 [20224/46250]	Loss: 0.2880	LR: 0.004000
Training Epoch: 14 [20480/46250]	Loss: 0.3348	LR: 0.004000
Training Epoch: 14 [20736/46250]	Loss: 0.1702	LR: 0.004000
Training Epoch: 14 [20992/46250]	Loss: 0.3149	LR: 0.004000
Training Epoch: 14 [21248/46250]	Loss: 0.2871	LR: 0.004000
Training Epoch: 14 [21504/46250]	Loss: 0.3415	LR: 0.004000
Training Epoch: 14 [21760/46250]	Loss: 0.2570	LR: 0.004000
Training Epoch: 14 [22016/46250]	Loss: 0.3219	LR: 0.004000
Training Epoch: 14 [22272/46250]	Loss: 0.3653	LR: 0.004000
Training Epoch: 14 [22528/46250]	Loss: 0.3780	LR: 0.004000
Training Epoch: 14 [22784/46250]	Loss: 0.2271	LR: 0.004000
Training Epoch: 14 [23040/46250]	Loss: 0.3134	LR: 0.004000
Training Epoch: 14 [23296/46250]	Loss: 0.3301	LR: 0.004000
Training Epoch: 14 [23552/46250]	Loss: 0.2975	LR: 0.004000
Training Epoch: 14 [23808/46250]	Loss: 0.3064	LR: 0.004000
Training Epoch: 14 [24064/46250]	Loss: 0.2895	LR: 0.004000
Training Epoch: 14 [24320/46250]	Loss: 0.2409	LR: 0.004000
Training Epoch: 14 [24576/46250]	Loss: 0.2505	LR: 0.004000
Training Epoch: 14 [24832/46250]	Loss: 0.2803	LR: 0.004000
Training Epoch: 14 [25088/46250]	Loss: 0.2527	LR: 0.004000
Training Epoch: 14 [25344/46250]	Loss: 0.2030	LR: 0.004000
Training Epoch: 14 [25600/46250]	Loss: 0.2760	LR: 0.004000
Training Epoch: 14 [25856/46250]	Loss: 0.2758	LR: 0.004000
Training Epoch: 14 [26112/46250]	Loss: 0.3666	LR: 0.004000
Training Epoch: 14 [26368/46250]	Loss: 0.3208	LR: 0.004000
Training Epoch: 14 [26624/46250]	Loss: 0.2462	LR: 0.004000
Training Epoch: 14 [26880/46250]	Loss: 0.3410	LR: 0.004000
Training Epoch: 14 [27136/46250]	Loss: 0.2668	LR: 0.004000
Training Epoch: 14 [27392/46250]	Loss: 0.3090	LR: 0.004000
Training Epoch: 14 [27648/46250]	Loss: 0.2863	LR: 0.004000
Training Epoch: 14 [27904/46250]	Loss: 0.2592	LR: 0.004000
Training Epoch: 14 [28160/46250]	Loss: 0.3337	LR: 0.004000
Training Epoch: 14 [28416/46250]	Loss: 0.3792	LR: 0.004000
Training Epoch: 14 [28672/46250]	Loss: 0.2811	LR: 0.004000
Training Epoch: 14 [28928/46250]	Loss: 0.2835	LR: 0.004000
Training Epoch: 14 [29184/46250]	Loss: 0.3083	LR: 0.004000
Training Epoch: 14 [29440/46250]	Loss: 0.3361	LR: 0.004000
Training Epoch: 14 [29696/46250]	Loss: 0.3935	LR: 0.004000
Training Epoch: 14 [29952/46250]	Loss: 0.3144	LR: 0.004000
Training Epoch: 14 [30208/46250]	Loss: 0.2966	LR: 0.004000
Training Epoch: 14 [30464/46250]	Loss: 0.3006	LR: 0.004000
Training Epoch: 14 [30720/46250]	Loss: 0.3374	LR: 0.004000
Training Epoch: 14 [30976/46250]	Loss: 0.2483	LR: 0.004000
Training Epoch: 14 [31232/46250]	Loss: 0.2713	LR: 0.004000
Training Epoch: 14 [31488/46250]	Loss: 0.2863	LR: 0.004000
Training Epoch: 14 [31744/46250]	Loss: 0.3204	LR: 0.004000
Training Epoch: 14 [32000/46250]	Loss: 0.4021	LR: 0.004000
Training Epoch: 14 [32256/46250]	Loss: 0.3298	LR: 0.004000
Training Epoch: 14 [32512/46250]	Loss: 0.2162	LR: 0.004000
Training Epoch: 14 [32768/46250]	Loss: 0.3311	LR: 0.004000
Training Epoch: 14 [33024/46250]	Loss: 0.2204	LR: 0.004000
Training Epoch: 14 [33280/46250]	Loss: 0.3543	LR: 0.004000
Training Epoch: 14 [33536/46250]	Loss: 0.3199	LR: 0.004000
Training Epoch: 14 [33792/46250]	Loss: 0.1945	LR: 0.004000
Training Epoch: 14 [34048/46250]	Loss: 0.3169	LR: 0.004000
Training Epoch: 14 [34304/46250]	Loss: 0.2995	LR: 0.004000
Training Epoch: 14 [34560/46250]	Loss: 0.2983	LR: 0.004000
Training Epoch: 14 [34816/46250]	Loss: 0.3514	LR: 0.004000
Training Epoch: 14 [35072/46250]	Loss: 0.2812	LR: 0.004000
Training Epoch: 14 [35328/46250]	Loss: 0.2430	LR: 0.004000
Training Epoch: 14 [35584/46250]	Loss: 0.2408	LR: 0.004000
Training Epoch: 14 [35840/46250]	Loss: 0.2204	LR: 0.004000
Training Epoch: 14 [36096/46250]	Loss: 0.2217	LR: 0.004000
Training Epoch: 14 [36352/46250]	Loss: 0.2466	LR: 0.004000
Training Epoch: 14 [36608/46250]	Loss: 0.2609	LR: 0.004000
Training Epoch: 14 [36864/46250]	Loss: 0.2791	LR: 0.004000
Training Epoch: 14 [37120/46250]	Loss: 0.2680	LR: 0.004000
Training Epoch: 14 [37376/46250]	Loss: 0.3197	LR: 0.004000
Training Epoch: 14 [37632/46250]	Loss: 0.2796	LR: 0.004000
Training Epoch: 14 [37888/46250]	Loss: 0.2450	LR: 0.004000
Training Epoch: 14 [38144/46250]	Loss: 0.3562	LR: 0.004000
Training Epoch: 14 [38400/46250]	Loss: 0.2770	LR: 0.004000
Training Epoch: 14 [38656/46250]	Loss: 0.2116	LR: 0.004000
Training Epoch: 14 [38912/46250]	Loss: 0.2874	LR: 0.004000
Training Epoch: 14 [39168/46250]	Loss: 0.2981	LR: 0.004000
Training Epoch: 14 [39424/46250]	Loss: 0.2870	LR: 0.004000
Training Epoch: 14 [39680/46250]	Loss: 0.3354	LR: 0.004000
Training Epoch: 14 [39936/46250]	Loss: 0.2945	LR: 0.004000
Training Epoch: 14 [40192/46250]	Loss: 0.3558	LR: 0.004000
Training Epoch: 14 [40448/46250]	Loss: 0.1937	LR: 0.004000
Training Epoch: 14 [40704/46250]	Loss: 0.2578	LR: 0.004000
Training Epoch: 14 [40960/46250]	Loss: 0.3326	LR: 0.004000
Training Epoch: 14 [41216/46250]	Loss: 0.2495	LR: 0.004000
Training Epoch: 14 [41472/46250]	Loss: 0.3119	LR: 0.004000
Training Epoch: 14 [41728/46250]	Loss: 0.2580	LR: 0.004000
Training Epoch: 14 [41984/46250]	Loss: 0.2356	LR: 0.004000
Training Epoch: 14 [42240/46250]	Loss: 0.2900	LR: 0.004000
Training Epoch: 14 [42496/46250]	Loss: 0.3081	LR: 0.004000
Training Epoch: 14 [42752/46250]	Loss: 0.2677	LR: 0.004000
Training Epoch: 14 [43008/46250]	Loss: 0.2951	LR: 0.004000
Training Epoch: 14 [43264/46250]	Loss: 0.3091	LR: 0.004000
Training Epoch: 14 [43520/46250]	Loss: 0.2645	LR: 0.004000
Training Epoch: 14 [43776/46250]	Loss: 0.3104	LR: 0.004000
Training Epoch: 14 [44032/46250]	Loss: 0.2818	LR: 0.004000
Training Epoch: 14 [44288/46250]	Loss: 0.3346	LR: 0.004000
Training Epoch: 14 [44544/46250]	Loss: 0.2457	LR: 0.004000
Training Epoch: 14 [44800/46250]	Loss: 0.3140	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.2245	LR: 0.004000
Training Epoch: 14 [45312/46250]	Loss: 0.3549	LR: 0.004000
Training Epoch: 14 [45568/46250]	Loss: 0.3006	LR: 0.004000
Training Epoch: 14 [45824/46250]	Loss: 0.3217	LR: 0.004000
Training Epoch: 14 [46080/46250]	Loss: 0.2791	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.2913	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2930, Train Accuracy: 0.8978
Epoch 14 training time consumed: 27.83s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8887, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.2470	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.2787	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.2803	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2619	LR: 0.004000
Training Epoch: 15 [1280/46250]	Loss: 0.2731	LR: 0.004000
Training Epoch: 15 [1536/46250]	Loss: 0.2894	LR: 0.004000
Training Epoch: 15 [1792/46250]	Loss: 0.3259	LR: 0.004000
Training Epoch: 15 [2048/46250]	Loss: 0.2876	LR: 0.004000
Training Epoch: 15 [2304/46250]	Loss: 0.2709	LR: 0.004000
Training Epoch: 15 [2560/46250]	Loss: 0.3418	LR: 0.004000
Training Epoch: 15 [2816/46250]	Loss: 0.2462	LR: 0.004000
Training Epoch: 15 [3072/46250]	Loss: 0.3520	LR: 0.004000
Training Epoch: 15 [3328/46250]	Loss: 0.3389	LR: 0.004000
Training Epoch: 15 [3584/46250]	Loss: 0.3864	LR: 0.004000
Training Epoch: 15 [3840/46250]	Loss: 0.2595	LR: 0.004000
Training Epoch: 15 [4096/46250]	Loss: 0.3279	LR: 0.004000
Training Epoch: 15 [4352/46250]	Loss: 0.2317	LR: 0.004000
Training Epoch: 15 [4608/46250]	Loss: 0.3287	LR: 0.004000
Training Epoch: 15 [4864/46250]	Loss: 0.2783	LR: 0.004000
Training Epoch: 15 [5120/46250]	Loss: 0.3141	LR: 0.004000
Training Epoch: 15 [5376/46250]	Loss: 0.2308	LR: 0.004000
Training Epoch: 15 [5632/46250]	Loss: 0.3574	LR: 0.004000
Training Epoch: 15 [5888/46250]	Loss: 0.3821	LR: 0.004000
Training Epoch: 15 [6144/46250]	Loss: 0.2631	LR: 0.004000
Training Epoch: 15 [6400/46250]	Loss: 0.3293	LR: 0.004000
Training Epoch: 15 [6656/46250]	Loss: 0.2963	LR: 0.004000
Training Epoch: 15 [6912/46250]	Loss: 0.2393	LR: 0.004000
Training Epoch: 15 [7168/46250]	Loss: 0.2635	LR: 0.004000
Training Epoch: 15 [7424/46250]	Loss: 0.2371	LR: 0.004000
Training Epoch: 15 [7680/46250]	Loss: 0.2378	LR: 0.004000
Training Epoch: 15 [7936/46250]	Loss: 0.2999	LR: 0.004000
Training Epoch: 15 [8192/46250]	Loss: 0.2619	LR: 0.004000
Training Epoch: 15 [8448/46250]	Loss: 0.2502	LR: 0.004000
Training Epoch: 15 [8704/46250]	Loss: 0.2321	LR: 0.004000
Training Epoch: 15 [8960/46250]	Loss: 0.2803	LR: 0.004000
Training Epoch: 15 [9216/46250]	Loss: 0.3151	LR: 0.004000
Training Epoch: 15 [9472/46250]	Loss: 0.3253	LR: 0.004000
Training Epoch: 15 [9728/46250]	Loss: 0.3117	LR: 0.004000
Training Epoch: 15 [9984/46250]	Loss: 0.3212	LR: 0.004000
Training Epoch: 15 [10240/46250]	Loss: 0.2039	LR: 0.004000
Training Epoch: 15 [10496/46250]	Loss: 0.2727	LR: 0.004000
Training Epoch: 15 [10752/46250]	Loss: 0.2670	LR: 0.004000
Training Epoch: 15 [11008/46250]	Loss: 0.3404	LR: 0.004000
Training Epoch: 15 [11264/46250]	Loss: 0.2800	LR: 0.004000
Training Epoch: 15 [11520/46250]	Loss: 0.3072	LR: 0.004000
Training Epoch: 15 [11776/46250]	Loss: 0.2550	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.2919	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.2891	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.3119	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.2795	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.2463	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.3116	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.2039	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.3079	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.2596	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.2551	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.1957	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.3067	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.2558	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.2383	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.3135	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.3187	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.2578	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.2420	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.1927	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.2929	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.2783	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.2800	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.2773	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.3047	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.3191	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.3183	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.2528	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.3653	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.2945	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.2324	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.3396	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.2447	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.3034	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.3153	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.3465	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.2792	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.2875	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.2674	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.2245	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.2299	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.3144	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.3169	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.2563	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.3159	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.3818	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.2925	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.2418	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.2916	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.2623	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.2935	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.2693	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.3132	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.2450	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.3837	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.2411	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.3904	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.2980	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.3377	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.2495	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.3234	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.3543	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.2577	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.2675	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.4176	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.3506	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.2287	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.2776	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.3175	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.2965	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.3201	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.2822	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.2534	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.2276	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.2869	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.2303	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.3577	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.3424	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.3134	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.3202	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.3401	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.2453	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.2875	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.3101	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.2214	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.3191	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.2964	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.2633	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.2470	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.2923	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.3309	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.2836	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.2694	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.2421	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.3168	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.3199	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.2985	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.2396	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.2496	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.3203	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.2730	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.3082	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.3297	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.3489	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.2527	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.2933	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.2252	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.2983	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.2599	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.2930	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.2993	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.2664	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.3042	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.3583	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.2479	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.2894	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.2768	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.3005	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.2897	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.3394	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.2776	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.3269	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.3223	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.2773	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.3200	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.2589	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.2468	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.1840	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.3221	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.2143	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.4249	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.2848	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.3540	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.2383	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.3279	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.3537	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2895, Train Accuracy: 0.8987
Epoch 15 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8873, Time consumed:0.88s
Training Epoch: 16 [256/46250]	Loss: 0.3182	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.2492	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.2787	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.2614	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.2644	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.2418	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.2206	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.3436	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.2876	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.3105	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.2890	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.3202	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.2671	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.3082	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.2487	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.3299	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.2857	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.2205	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.2252	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.2559	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.3303	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.2577	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.2655	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.2719	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.2888	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.2141	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.3664	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.2412	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.2309	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.2515	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.2826	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.2951	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.2965	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.3372	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.2298	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.2714	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.3250	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.3001	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.2654	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.2053	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.3126	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.3058	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.2839	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.2666	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.2446	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.2526	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.2680	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.3456	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.2207	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.2806	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.3153	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.2662	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.2468	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.3265	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.2981	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.3379	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.2848	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.2028	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.2667	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.3107	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.2465	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.2896	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.3190	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.3873	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.2495	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.2100	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.2973	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.2072	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.3205	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.2903	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.2564	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.2963	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.3044	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.2570	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.2320	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.2781	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.1913	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.3070	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.2903	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.2626	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.2325	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.2660	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.3421	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.2770	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.2161	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.2780	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.2026	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.3331	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.2117	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.2948	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.2442	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.2757	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.2751	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.4161	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.2656	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.3183	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.3179	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.2442	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.2474	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.2772	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.2318	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.2381	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.3645	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.2617	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.2610	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.2596	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.2897	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.3574	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.3341	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.3380	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.2907	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.2768	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.2820	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.2620	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.2597	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.1909	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.2749	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.3349	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.2895	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.2856	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.2718	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.2409	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.2269	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.3224	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.2726	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2164	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.2984	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.2939	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.2611	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.2512	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.2148	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.2504	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.3069	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.2263	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.2846	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.3145	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.2451	LR: 0.000800
Training Epoch: 16 [38912/46250]	Loss: 0.2518	LR: 0.000800
Training Epoch: 16 [39168/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 16 [39424/46250]	Loss: 0.2789	LR: 0.000800
Training Epoch: 16 [39680/46250]	Loss: 0.2724	LR: 0.000800
Training Epoch: 16 [39936/46250]	Loss: 0.3185	LR: 0.000800
Training Epoch: 16 [40192/46250]	Loss: 0.2034	LR: 0.000800
Training Epoch: 16 [40448/46250]	Loss: 0.3392	LR: 0.000800
Training Epoch: 16 [40704/46250]	Loss: 0.2400	LR: 0.000800
Training Epoch: 16 [40960/46250]	Loss: 0.3173	LR: 0.000800
Training Epoch: 16 [41216/46250]	Loss: 0.2449	LR: 0.000800
Training Epoch: 16 [41472/46250]	Loss: 0.3477	LR: 0.000800
Training Epoch: 16 [41728/46250]	Loss: 0.2600	LR: 0.000800
Training Epoch: 16 [41984/46250]	Loss: 0.2374	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.2713	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.2295	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.3196	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2395	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2307	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2527	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2780	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2860	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2732	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2236	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.3149	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2437	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2811	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2950	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.3815	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2766, Train Accuracy: 0.9032
Epoch 16 training time consumed: 27.58s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8900, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.3297	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.2570	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2691	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.2050	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.3087	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2113	LR: 0.000800
Training Epoch: 17 [1792/46250]	Loss: 0.2664	LR: 0.000800
Training Epoch: 17 [2048/46250]	Loss: 0.2532	LR: 0.000800
Training Epoch: 17 [2304/46250]	Loss: 0.2141	LR: 0.000800
Training Epoch: 17 [2560/46250]	Loss: 0.2063	LR: 0.000800
Training Epoch: 17 [2816/46250]	Loss: 0.2746	LR: 0.000800
Training Epoch: 17 [3072/46250]	Loss: 0.2385	LR: 0.000800
Training Epoch: 17 [3328/46250]	Loss: 0.2661	LR: 0.000800
Training Epoch: 17 [3584/46250]	Loss: 0.2632	LR: 0.000800
Training Epoch: 17 [3840/46250]	Loss: 0.2723	LR: 0.000800
Training Epoch: 17 [4096/46250]	Loss: 0.2527	LR: 0.000800
Training Epoch: 17 [4352/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 17 [4608/46250]	Loss: 0.2105	LR: 0.000800
Training Epoch: 17 [4864/46250]	Loss: 0.2648	LR: 0.000800
Training Epoch: 17 [5120/46250]	Loss: 0.3217	LR: 0.000800
Training Epoch: 17 [5376/46250]	Loss: 0.2425	LR: 0.000800
Training Epoch: 17 [5632/46250]	Loss: 0.2223	LR: 0.000800
Training Epoch: 17 [5888/46250]	Loss: 0.3526	LR: 0.000800
Training Epoch: 17 [6144/46250]	Loss: 0.3239	LR: 0.000800
Training Epoch: 17 [6400/46250]	Loss: 0.2205	LR: 0.000800
Training Epoch: 17 [6656/46250]	Loss: 0.2351	LR: 0.000800
Training Epoch: 17 [6912/46250]	Loss: 0.2745	LR: 0.000800
Training Epoch: 17 [7168/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 17 [7424/46250]	Loss: 0.2669	LR: 0.000800
Training Epoch: 17 [7680/46250]	Loss: 0.2529	LR: 0.000800
Training Epoch: 17 [7936/46250]	Loss: 0.3141	LR: 0.000800
Training Epoch: 17 [8192/46250]	Loss: 0.2397	LR: 0.000800
Training Epoch: 17 [8448/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 17 [8704/46250]	Loss: 0.2135	LR: 0.000800
Training Epoch: 17 [8960/46250]	Loss: 0.3242	LR: 0.000800
Training Epoch: 17 [9216/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 17 [9472/46250]	Loss: 0.3093	LR: 0.000800
Training Epoch: 17 [9728/46250]	Loss: 0.3200	LR: 0.000800
Training Epoch: 17 [9984/46250]	Loss: 0.2517	LR: 0.000800
Training Epoch: 17 [10240/46250]	Loss: 0.2446	LR: 0.000800
Training Epoch: 17 [10496/46250]	Loss: 0.2789	LR: 0.000800
Training Epoch: 17 [10752/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 17 [11008/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 17 [11264/46250]	Loss: 0.2810	LR: 0.000800
Training Epoch: 17 [11520/46250]	Loss: 0.2665	LR: 0.000800
Training Epoch: 17 [11776/46250]	Loss: 0.3607	LR: 0.000800
Training Epoch: 17 [12032/46250]	Loss: 0.3162	LR: 0.000800
Training Epoch: 17 [12288/46250]	Loss: 0.3087	LR: 0.000800
Training Epoch: 17 [12544/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 17 [12800/46250]	Loss: 0.2984	LR: 0.000800
Training Epoch: 17 [13056/46250]	Loss: 0.2350	LR: 0.000800
Training Epoch: 17 [13312/46250]	Loss: 0.3218	LR: 0.000800
Training Epoch: 17 [13568/46250]	Loss: 0.2723	LR: 0.000800
Training Epoch: 17 [13824/46250]	Loss: 0.2738	LR: 0.000800
Training Epoch: 17 [14080/46250]	Loss: 0.2845	LR: 0.000800
Training Epoch: 17 [14336/46250]	Loss: 0.3205	LR: 0.000800
Training Epoch: 17 [14592/46250]	Loss: 0.2512	LR: 0.000800
Training Epoch: 17 [14848/46250]	Loss: 0.2619	LR: 0.000800
Training Epoch: 17 [15104/46250]	Loss: 0.2119	LR: 0.000800
Training Epoch: 17 [15360/46250]	Loss: 0.3172	LR: 0.000800
Training Epoch: 17 [15616/46250]	Loss: 0.2321	LR: 0.000800
Training Epoch: 17 [15872/46250]	Loss: 0.3028	LR: 0.000800
Training Epoch: 17 [16128/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 17 [16384/46250]	Loss: 0.3124	LR: 0.000800
Training Epoch: 17 [16640/46250]	Loss: 0.3281	LR: 0.000800
Training Epoch: 17 [16896/46250]	Loss: 0.2741	LR: 0.000800
Training Epoch: 17 [17152/46250]	Loss: 0.3213	LR: 0.000800
Training Epoch: 17 [17408/46250]	Loss: 0.2609	LR: 0.000800
Training Epoch: 17 [17664/46250]	Loss: 0.1952	LR: 0.000800
Training Epoch: 17 [17920/46250]	Loss: 0.2216	LR: 0.000800
Training Epoch: 17 [18176/46250]	Loss: 0.2726	LR: 0.000800
Training Epoch: 17 [18432/46250]	Loss: 0.2481	LR: 0.000800
Training Epoch: 17 [18688/46250]	Loss: 0.2235	LR: 0.000800
Training Epoch: 17 [18944/46250]	Loss: 0.2584	LR: 0.000800
Training Epoch: 17 [19200/46250]	Loss: 0.2867	LR: 0.000800
Training Epoch: 17 [19456/46250]	Loss: 0.2914	LR: 0.000800
Training Epoch: 17 [19712/46250]	Loss: 0.3253	LR: 0.000800
Training Epoch: 17 [19968/46250]	Loss: 0.3124	LR: 0.000800
Training Epoch: 17 [20224/46250]	Loss: 0.1907	LR: 0.000800
Training Epoch: 17 [20480/46250]	Loss: 0.2433	LR: 0.000800
Training Epoch: 17 [20736/46250]	Loss: 0.2695	LR: 0.000800
Training Epoch: 17 [20992/46250]	Loss: 0.2551	LR: 0.000800
Training Epoch: 17 [21248/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 17 [21504/46250]	Loss: 0.3147	LR: 0.000800
Training Epoch: 17 [21760/46250]	Loss: 0.2683	LR: 0.000800
Training Epoch: 17 [22016/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 17 [22272/46250]	Loss: 0.2174	LR: 0.000800
Training Epoch: 17 [22528/46250]	Loss: 0.2684	LR: 0.000800
Training Epoch: 17 [22784/46250]	Loss: 0.2384	LR: 0.000800
Training Epoch: 17 [23040/46250]	Loss: 0.2919	LR: 0.000800
Training Epoch: 17 [23296/46250]	Loss: 0.2942	LR: 0.000800
Training Epoch: 17 [23552/46250]	Loss: 0.1772	LR: 0.000800
Training Epoch: 17 [23808/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 17 [24064/46250]	Loss: 0.3380	LR: 0.000800
Training Epoch: 17 [24320/46250]	Loss: 0.2310	LR: 0.000800
Training Epoch: 17 [24576/46250]	Loss: 0.3020	LR: 0.000800
Training Epoch: 17 [24832/46250]	Loss: 0.2724	LR: 0.000800
Training Epoch: 17 [25088/46250]	Loss: 0.3076	LR: 0.000800
Training Epoch: 17 [25344/46250]	Loss: 0.2266	LR: 0.000800
Training Epoch: 17 [25600/46250]	Loss: 0.2857	LR: 0.000800
Training Epoch: 17 [25856/46250]	Loss: 0.2696	LR: 0.000800
Training Epoch: 17 [26112/46250]	Loss: 0.2338	LR: 0.000800
Training Epoch: 17 [26368/46250]	Loss: 0.3669	LR: 0.000800
Training Epoch: 17 [26624/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 17 [26880/46250]	Loss: 0.2556	LR: 0.000800
Training Epoch: 17 [27136/46250]	Loss: 0.2467	LR: 0.000800
Training Epoch: 17 [27392/46250]	Loss: 0.2882	LR: 0.000800
Training Epoch: 17 [27648/46250]	Loss: 0.3056	LR: 0.000800
Training Epoch: 17 [27904/46250]	Loss: 0.2288	LR: 0.000800
Training Epoch: 17 [28160/46250]	Loss: 0.2751	LR: 0.000800
Training Epoch: 17 [28416/46250]	Loss: 0.3442	LR: 0.000800
Training Epoch: 17 [28672/46250]	Loss: 0.2382	LR: 0.000800
Training Epoch: 17 [28928/46250]	Loss: 0.4323	LR: 0.000800
Training Epoch: 17 [29184/46250]	Loss: 0.2398	LR: 0.000800
Training Epoch: 17 [29440/46250]	Loss: 0.2817	LR: 0.000800
Training Epoch: 17 [29696/46250]	Loss: 0.2711	LR: 0.000800
Training Epoch: 17 [29952/46250]	Loss: 0.2755	LR: 0.000800
Training Epoch: 17 [30208/46250]	Loss: 0.2516	LR: 0.000800
Training Epoch: 17 [30464/46250]	Loss: 0.2741	LR: 0.000800
Training Epoch: 17 [30720/46250]	Loss: 0.3231	LR: 0.000800
Training Epoch: 17 [30976/46250]	Loss: 0.2754	LR: 0.000800
Training Epoch: 17 [31232/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 17 [31488/46250]	Loss: 0.2355	LR: 0.000800
Training Epoch: 17 [31744/46250]	Loss: 0.2173	LR: 0.000800
Training Epoch: 17 [32000/46250]	Loss: 0.2585	LR: 0.000800
Training Epoch: 17 [32256/46250]	Loss: 0.2952	LR: 0.000800
Training Epoch: 17 [32512/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 17 [32768/46250]	Loss: 0.3098	LR: 0.000800
Training Epoch: 17 [33024/46250]	Loss: 0.2468	LR: 0.000800
Training Epoch: 17 [33280/46250]	Loss: 0.3121	LR: 0.000800
Training Epoch: 17 [33536/46250]	Loss: 0.3401	LR: 0.000800
Training Epoch: 17 [33792/46250]	Loss: 0.2618	LR: 0.000800
Training Epoch: 17 [34048/46250]	Loss: 0.3407	LR: 0.000800
Training Epoch: 17 [34304/46250]	Loss: 0.2623	LR: 0.000800
Training Epoch: 17 [34560/46250]	Loss: 0.2895	LR: 0.000800
Training Epoch: 17 [34816/46250]	Loss: 0.2416	LR: 0.000800
Training Epoch: 17 [35072/46250]	Loss: 0.2035	LR: 0.000800
Training Epoch: 17 [35328/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 17 [35584/46250]	Loss: 0.2584	LR: 0.000800
Training Epoch: 17 [35840/46250]	Loss: 0.2806	LR: 0.000800
Training Epoch: 17 [36096/46250]	Loss: 0.3315	LR: 0.000800
Training Epoch: 17 [36352/46250]	Loss: 0.3783	LR: 0.000800
Training Epoch: 17 [36608/46250]	Loss: 0.2681	LR: 0.000800
Training Epoch: 17 [36864/46250]	Loss: 0.2464	LR: 0.000800
Training Epoch: 17 [37120/46250]	Loss: 0.3242	LR: 0.000800
Training Epoch: 17 [37376/46250]	Loss: 0.2523	LR: 0.000800
Training Epoch: 17 [37632/46250]	Loss: 0.2782	LR: 0.000800
Training Epoch: 17 [37888/46250]	Loss: 0.3398	LR: 0.000800
Training Epoch: 17 [38144/46250]	Loss: 0.2681	LR: 0.000800
Training Epoch: 17 [38400/46250]	Loss: 0.2217	LR: 0.000800
Training Epoch: 17 [38656/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 17 [38912/46250]	Loss: 0.2415	LR: 0.000800
Training Epoch: 17 [39168/46250]	Loss: 0.2437	LR: 0.000800
Training Epoch: 17 [39424/46250]	Loss: 0.2923	LR: 0.000800
Training Epoch: 17 [39680/46250]	Loss: 0.2625	LR: 0.000800
Training Epoch: 17 [39936/46250]	Loss: 0.2160	LR: 0.000800
Training Epoch: 17 [40192/46250]	Loss: 0.2798	LR: 0.000800
Training Epoch: 17 [40448/46250]	Loss: 0.1942	LR: 0.000800
Training Epoch: 17 [40704/46250]	Loss: 0.2071	LR: 0.000800
Training Epoch: 17 [40960/46250]	Loss: 0.2922	LR: 0.000800
Training Epoch: 17 [41216/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 17 [41472/46250]	Loss: 0.3022	LR: 0.000800
Training Epoch: 17 [41728/46250]	Loss: 0.2983	LR: 0.000800
Training Epoch: 17 [41984/46250]	Loss: 0.3022	LR: 0.000800
Training Epoch: 17 [42240/46250]	Loss: 0.3133	LR: 0.000800
Training Epoch: 17 [42496/46250]	Loss: 0.2509	LR: 0.000800
Training Epoch: 17 [42752/46250]	Loss: 0.3033	LR: 0.000800
Training Epoch: 17 [43008/46250]	Loss: 0.2755	LR: 0.000800
Training Epoch: 17 [43264/46250]	Loss: 0.3127	LR: 0.000800
Training Epoch: 17 [43520/46250]	Loss: 0.2116	LR: 0.000800
Training Epoch: 17 [43776/46250]	Loss: 0.3149	LR: 0.000800
Training Epoch: 17 [44032/46250]	Loss: 0.2530	LR: 0.000800
Training Epoch: 17 [44288/46250]	Loss: 0.3362	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.3201	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2635	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3468	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.2206	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.3202	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.2180	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2566	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.2736	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2737, Train Accuracy: 0.9043
Epoch 17 training time consumed: 27.60s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8899, Time consumed:0.88s
Training Epoch: 18 [256/46250]	Loss: 0.2548	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.3561	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2012	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2391	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.3049	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2668	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.2249	LR: 0.000800
Training Epoch: 18 [2304/46250]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [2560/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 18 [2816/46250]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [3072/46250]	Loss: 0.2466	LR: 0.000800
Training Epoch: 18 [3328/46250]	Loss: 0.2270	LR: 0.000800
Training Epoch: 18 [3584/46250]	Loss: 0.3309	LR: 0.000800
Training Epoch: 18 [3840/46250]	Loss: 0.2627	LR: 0.000800
Training Epoch: 18 [4096/46250]	Loss: 0.2939	LR: 0.000800
Training Epoch: 18 [4352/46250]	Loss: 0.2975	LR: 0.000800
Training Epoch: 18 [4608/46250]	Loss: 0.2181	LR: 0.000800
Training Epoch: 18 [4864/46250]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [5120/46250]	Loss: 0.3592	LR: 0.000800
Training Epoch: 18 [5376/46250]	Loss: 0.2597	LR: 0.000800
Training Epoch: 18 [5632/46250]	Loss: 0.2703	LR: 0.000800
Training Epoch: 18 [5888/46250]	Loss: 0.2588	LR: 0.000800
Training Epoch: 18 [6144/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 18 [6400/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 18 [6656/46250]	Loss: 0.2040	LR: 0.000800
Training Epoch: 18 [6912/46250]	Loss: 0.2493	LR: 0.000800
Training Epoch: 18 [7168/46250]	Loss: 0.2723	LR: 0.000800
Training Epoch: 18 [7424/46250]	Loss: 0.3100	LR: 0.000800
Training Epoch: 18 [7680/46250]	Loss: 0.2507	LR: 0.000800
Training Epoch: 18 [7936/46250]	Loss: 0.2747	LR: 0.000800
Training Epoch: 18 [8192/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 18 [8448/46250]	Loss: 0.2652	LR: 0.000800
Training Epoch: 18 [8704/46250]	Loss: 0.2857	LR: 0.000800
Training Epoch: 18 [8960/46250]	Loss: 0.2487	LR: 0.000800
Training Epoch: 18 [9216/46250]	Loss: 0.3405	LR: 0.000800
Training Epoch: 18 [9472/46250]	Loss: 0.2165	LR: 0.000800
Training Epoch: 18 [9728/46250]	Loss: 0.2942	LR: 0.000800
Training Epoch: 18 [9984/46250]	Loss: 0.2363	LR: 0.000800
Training Epoch: 18 [10240/46250]	Loss: 0.2865	LR: 0.000800
Training Epoch: 18 [10496/46250]	Loss: 0.2664	LR: 0.000800
Training Epoch: 18 [10752/46250]	Loss: 0.2782	LR: 0.000800
Training Epoch: 18 [11008/46250]	Loss: 0.2965	LR: 0.000800
Training Epoch: 18 [11264/46250]	Loss: 0.3269	LR: 0.000800
Training Epoch: 18 [11520/46250]	Loss: 0.3146	LR: 0.000800
Training Epoch: 18 [11776/46250]	Loss: 0.2800	LR: 0.000800
Training Epoch: 18 [12032/46250]	Loss: 0.2010	LR: 0.000800
Training Epoch: 18 [12288/46250]	Loss: 0.2478	LR: 0.000800
Training Epoch: 18 [12544/46250]	Loss: 0.2797	LR: 0.000800
Training Epoch: 18 [12800/46250]	Loss: 0.2426	LR: 0.000800
Training Epoch: 18 [13056/46250]	Loss: 0.3038	LR: 0.000800
Training Epoch: 18 [13312/46250]	Loss: 0.3352	LR: 0.000800
Training Epoch: 18 [13568/46250]	Loss: 0.2315	LR: 0.000800
Training Epoch: 18 [13824/46250]	Loss: 0.2620	LR: 0.000800
Training Epoch: 18 [14080/46250]	Loss: 0.2232	LR: 0.000800
Training Epoch: 18 [14336/46250]	Loss: 0.2196	LR: 0.000800
Training Epoch: 18 [14592/46250]	Loss: 0.2812	LR: 0.000800
Training Epoch: 18 [14848/46250]	Loss: 0.2654	LR: 0.000800
Training Epoch: 18 [15104/46250]	Loss: 0.2170	LR: 0.000800
Training Epoch: 18 [15360/46250]	Loss: 0.2348	LR: 0.000800
Training Epoch: 18 [15616/46250]	Loss: 0.3094	LR: 0.000800
Training Epoch: 18 [15872/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 18 [16128/46250]	Loss: 0.2116	LR: 0.000800
Training Epoch: 18 [16384/46250]	Loss: 0.2958	LR: 0.000800
Training Epoch: 18 [16640/46250]	Loss: 0.2264	LR: 0.000800
Training Epoch: 18 [16896/46250]	Loss: 0.2222	LR: 0.000800
Training Epoch: 18 [17152/46250]	Loss: 0.2276	LR: 0.000800
Training Epoch: 18 [17408/46250]	Loss: 0.3219	LR: 0.000800
Training Epoch: 18 [17664/46250]	Loss: 0.2717	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.2751	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.1912	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.2713	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.3137	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.3061	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.3872	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.2324	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.2767	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.2814	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.3164	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.2679	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.3311	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.2577	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.3313	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.2321	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.2744	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.2883	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.2860	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.2693	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.3522	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.2281	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.2887	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.2366	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.2154	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.2467	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.3328	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.2914	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.2420	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.2954	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.3708	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.3611	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.2346	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.3041	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.2853	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.2753	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.2535	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.2702	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.2245	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.2624	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.2771	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.2658	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.2287	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.2891	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.2448	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.3218	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.3086	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.3473	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.3443	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.3381	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.2387	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.3200	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.2820	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.3178	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.3298	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.1953	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.2403	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.3423	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.2426	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.2951	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.2685	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.2519	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.2225	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.2624	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.2909	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.3418	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.2537	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.2022	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.2244	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.3046	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.2702	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.2542	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.2380	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.2602	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.2985	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.1796	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.3311	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.3179	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.2109	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.2392	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2481	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.1820	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.2338	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.2306	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.2376	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.2440	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.3024	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.3285	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2721	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2865	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2817	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2816	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2715	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2221	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2164	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.2110	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2590	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.2501	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2412	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2220	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2711, Train Accuracy: 0.9051
Epoch 18 training time consumed: 27.63s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8896, Time consumed:0.90s
Training Epoch: 19 [256/46250]	Loss: 0.2398	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.2538	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.1929	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.2980	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2201	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2389	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2809	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.2482	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.2487	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.3061	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.2082	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.2413	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.3324	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.2373	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.3134	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.3028	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.3272	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.3174	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.2821	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.2950	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.2559	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.2854	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.2437	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.2968	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.2275	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.2409	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.2302	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.2246	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.3330	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.2963	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.2361	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.3173	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.2984	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.2226	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.2555	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.2283	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.3728	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.2765	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.2584	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.2559	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.2700	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2667	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.2789	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.3452	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.2865	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.2482	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.3483	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.3163	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.3685	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.2907	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.2852	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.2675	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.3342	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2909	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.3412	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.2321	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.2002	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.2645	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.2849	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.2522	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.2389	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.3706	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.2595	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.2527	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.2433	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.2576	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.2645	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.2130	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.2057	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.2759	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.2692	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.2719	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.3361	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.2879	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.2810	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.2477	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.2924	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.2821	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.2743	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.2847	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.3331	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.2169	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.2572	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.2934	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.3158	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.2162	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.2619	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.2470	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.3033	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.2567	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.2576	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.2043	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.2386	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.2899	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.2992	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.2537	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.2262	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.2145	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.2853	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.2815	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.2424	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.3467	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.2378	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.2071	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.2194	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.1936	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.2314	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.2870	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.3141	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.2023	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.2603	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.2836	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.2760	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.2756	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.2705	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.2781	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.2280	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.2538	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.2499	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.3329	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.2645	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.2250	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.2966	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.2921	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.2279	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.2472	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.3162	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.2135	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.3225	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.2603	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.3022	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.3365	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.2063	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.2441	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.2814	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.3534	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.3210	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.2036	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.2656	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.2729	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.2219	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.2163	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.2872	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.2441	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.2296	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.2645	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.2469	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.3232	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.2335	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2993	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2272	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.2142	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2872	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.3024	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3017	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2705, Train Accuracy: 0.9065
Epoch 19 training time consumed: 28.04s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8913, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_20h_44m_59s/ResNet18-Cifar10-seed6-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.2386	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2651	LR: 0.000800
Training Epoch: 20 [768/46250]	Loss: 0.2731	LR: 0.000800
Training Epoch: 20 [1024/46250]	Loss: 0.2426	LR: 0.000800
Training Epoch: 20 [1280/46250]	Loss: 0.2368	LR: 0.000800
Training Epoch: 20 [1536/46250]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [1792/46250]	Loss: 0.2621	LR: 0.000800
Training Epoch: 20 [2048/46250]	Loss: 0.2979	LR: 0.000800
Training Epoch: 20 [2304/46250]	Loss: 0.2421	LR: 0.000800
Training Epoch: 20 [2560/46250]	Loss: 0.2271	LR: 0.000800
Training Epoch: 20 [2816/46250]	Loss: 0.2144	LR: 0.000800
Training Epoch: 20 [3072/46250]	Loss: 0.3386	LR: 0.000800
Training Epoch: 20 [3328/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 20 [3584/46250]	Loss: 0.2561	LR: 0.000800
Training Epoch: 20 [3840/46250]	Loss: 0.2301	LR: 0.000800
Training Epoch: 20 [4096/46250]	Loss: 0.2220	LR: 0.000800
Training Epoch: 20 [4352/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 20 [4608/46250]	Loss: 0.2464	LR: 0.000800
Training Epoch: 20 [4864/46250]	Loss: 0.2879	LR: 0.000800
Training Epoch: 20 [5120/46250]	Loss: 0.2617	LR: 0.000800
Training Epoch: 20 [5376/46250]	Loss: 0.3568	LR: 0.000800
Training Epoch: 20 [5632/46250]	Loss: 0.2906	LR: 0.000800
Training Epoch: 20 [5888/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 20 [6144/46250]	Loss: 0.3118	LR: 0.000800
Training Epoch: 20 [6400/46250]	Loss: 0.2635	LR: 0.000800
Training Epoch: 20 [6656/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 20 [6912/46250]	Loss: 0.2831	LR: 0.000800
Training Epoch: 20 [7168/46250]	Loss: 0.1745	LR: 0.000800
Training Epoch: 20 [7424/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 20 [7680/46250]	Loss: 0.3240	LR: 0.000800
Training Epoch: 20 [7936/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 20 [8192/46250]	Loss: 0.2462	LR: 0.000800
Training Epoch: 20 [8448/46250]	Loss: 0.2663	LR: 0.000800
Training Epoch: 20 [8704/46250]	Loss: 0.2357	LR: 0.000800
Training Epoch: 20 [8960/46250]	Loss: 0.1852	LR: 0.000800
Training Epoch: 20 [9216/46250]	Loss: 0.2922	LR: 0.000800
Training Epoch: 20 [9472/46250]	Loss: 0.2798	LR: 0.000800
Training Epoch: 20 [9728/46250]	Loss: 0.1874	LR: 0.000800
Training Epoch: 20 [9984/46250]	Loss: 0.2508	LR: 0.000800
Training Epoch: 20 [10240/46250]	Loss: 0.3230	LR: 0.000800
Training Epoch: 20 [10496/46250]	Loss: 0.2358	LR: 0.000800
Training Epoch: 20 [10752/46250]	Loss: 0.2493	LR: 0.000800
Training Epoch: 20 [11008/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 20 [11264/46250]	Loss: 0.2780	LR: 0.000800
Training Epoch: 20 [11520/46250]	Loss: 0.2998	LR: 0.000800
Training Epoch: 20 [11776/46250]	Loss: 0.3224	LR: 0.000800
Training Epoch: 20 [12032/46250]	Loss: 0.2786	LR: 0.000800
Training Epoch: 20 [12288/46250]	Loss: 0.1897	LR: 0.000800
Training Epoch: 20 [12544/46250]	Loss: 0.2994	LR: 0.000800
Training Epoch: 20 [12800/46250]	Loss: 0.2896	LR: 0.000800
Training Epoch: 20 [13056/46250]	Loss: 0.2273	LR: 0.000800
Training Epoch: 20 [13312/46250]	Loss: 0.2768	LR: 0.000800
Training Epoch: 20 [13568/46250]	Loss: 0.2911	LR: 0.000800
Training Epoch: 20 [13824/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 20 [14080/46250]	Loss: 0.2300	LR: 0.000800
Training Epoch: 20 [14336/46250]	Loss: 0.2197	LR: 0.000800
Training Epoch: 20 [14592/46250]	Loss: 0.3373	LR: 0.000800
Training Epoch: 20 [14848/46250]	Loss: 0.2398	LR: 0.000800
Training Epoch: 20 [15104/46250]	Loss: 0.2897	LR: 0.000800
Training Epoch: 20 [15360/46250]	Loss: 0.3459	LR: 0.000800
Training Epoch: 20 [15616/46250]	Loss: 0.2427	LR: 0.000800
Training Epoch: 20 [15872/46250]	Loss: 0.2962	LR: 0.000800
Training Epoch: 20 [16128/46250]	Loss: 0.1960	LR: 0.000800
Training Epoch: 20 [16384/46250]	Loss: 0.2702	LR: 0.000800
Training Epoch: 20 [16640/46250]	Loss: 0.2779	LR: 0.000800
Training Epoch: 20 [16896/46250]	Loss: 0.2428	LR: 0.000800
Training Epoch: 20 [17152/46250]	Loss: 0.2384	LR: 0.000800
Training Epoch: 20 [17408/46250]	Loss: 0.2197	LR: 0.000800
Training Epoch: 20 [17664/46250]	Loss: 0.2673	LR: 0.000800
Training Epoch: 20 [17920/46250]	Loss: 0.3687	LR: 0.000800
Training Epoch: 20 [18176/46250]	Loss: 0.2532	LR: 0.000800
Training Epoch: 20 [18432/46250]	Loss: 0.2319	LR: 0.000800
Training Epoch: 20 [18688/46250]	Loss: 0.2995	LR: 0.000800
Training Epoch: 20 [18944/46250]	Loss: 0.2714	LR: 0.000800
Training Epoch: 20 [19200/46250]	Loss: 0.1860	LR: 0.000800
Training Epoch: 20 [19456/46250]	Loss: 0.2445	LR: 0.000800
Training Epoch: 20 [19712/46250]	Loss: 0.2773	LR: 0.000800
Training Epoch: 20 [19968/46250]	Loss: 0.2586	LR: 0.000800
Training Epoch: 20 [20224/46250]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [20480/46250]	Loss: 0.2905	LR: 0.000800
Training Epoch: 20 [20736/46250]	Loss: 0.2885	LR: 0.000800
Training Epoch: 20 [20992/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 20 [21248/46250]	Loss: 0.2357	LR: 0.000800
Training Epoch: 20 [21504/46250]	Loss: 0.2028	LR: 0.000800
Training Epoch: 20 [21760/46250]	Loss: 0.3208	LR: 0.000800
Training Epoch: 20 [22016/46250]	Loss: 0.2284	LR: 0.000800
Training Epoch: 20 [22272/46250]	Loss: 0.3158	LR: 0.000800
Training Epoch: 20 [22528/46250]	Loss: 0.2381	LR: 0.000800
Training Epoch: 20 [22784/46250]	Loss: 0.2904	LR: 0.000800
Training Epoch: 20 [23040/46250]	Loss: 0.2752	LR: 0.000800
Training Epoch: 20 [23296/46250]	Loss: 0.2805	LR: 0.000800
Training Epoch: 20 [23552/46250]	Loss: 0.2319	LR: 0.000800
Training Epoch: 20 [23808/46250]	Loss: 0.2451	LR: 0.000800
Training Epoch: 20 [24064/46250]	Loss: 0.2773	LR: 0.000800
Training Epoch: 20 [24320/46250]	Loss: 0.2621	LR: 0.000800
Training Epoch: 20 [24576/46250]	Loss: 0.2334	LR: 0.000800
Training Epoch: 20 [24832/46250]	Loss: 0.2754	LR: 0.000800
Training Epoch: 20 [25088/46250]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [25344/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [25600/46250]	Loss: 0.3306	LR: 0.000800
Training Epoch: 20 [25856/46250]	Loss: 0.2234	LR: 0.000800
Training Epoch: 20 [26112/46250]	Loss: 0.2594	LR: 0.000800
Training Epoch: 20 [26368/46250]	Loss: 0.2887	LR: 0.000800
Training Epoch: 20 [26624/46250]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [26880/46250]	Loss: 0.2927	LR: 0.000800
Training Epoch: 20 [27136/46250]	Loss: 0.3355	LR: 0.000800
Training Epoch: 20 [27392/46250]	Loss: 0.2757	LR: 0.000800
Training Epoch: 20 [27648/46250]	Loss: 0.3365	LR: 0.000800
Training Epoch: 20 [27904/46250]	Loss: 0.3439	LR: 0.000800
Training Epoch: 20 [28160/46250]	Loss: 0.2799	LR: 0.000800
Training Epoch: 20 [28416/46250]	Loss: 0.3916	LR: 0.000800
Training Epoch: 20 [28672/46250]	Loss: 0.2959	LR: 0.000800
Training Epoch: 20 [28928/46250]	Loss: 0.3145	LR: 0.000800
Training Epoch: 20 [29184/46250]	Loss: 0.2244	LR: 0.000800
Training Epoch: 20 [29440/46250]	Loss: 0.2281	LR: 0.000800
Training Epoch: 20 [29696/46250]	Loss: 0.2206	LR: 0.000800
Training Epoch: 20 [29952/46250]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [30208/46250]	Loss: 0.2031	LR: 0.000800
Training Epoch: 20 [30464/46250]	Loss: 0.2146	LR: 0.000800
Training Epoch: 20 [30720/46250]	Loss: 0.2519	LR: 0.000800
Training Epoch: 20 [30976/46250]	Loss: 0.2887	LR: 0.000800
Training Epoch: 20 [31232/46250]	Loss: 0.3176	LR: 0.000800
Training Epoch: 20 [31488/46250]	Loss: 0.2009	LR: 0.000800
Training Epoch: 20 [31744/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 20 [32000/46250]	Loss: 0.3282	LR: 0.000800
Training Epoch: 20 [32256/46250]	Loss: 0.2359	LR: 0.000800
Training Epoch: 20 [32512/46250]	Loss: 0.2786	LR: 0.000800
Training Epoch: 20 [32768/46250]	Loss: 0.2392	LR: 0.000800
Training Epoch: 20 [33024/46250]	Loss: 0.2209	LR: 0.000800
Training Epoch: 20 [33280/46250]	Loss: 0.2462	LR: 0.000800
Training Epoch: 20 [33536/46250]	Loss: 0.2735	LR: 0.000800
Training Epoch: 20 [33792/46250]	Loss: 0.2784	LR: 0.000800
Training Epoch: 20 [34048/46250]	Loss: 0.2902	LR: 0.000800
Training Epoch: 20 [34304/46250]	Loss: 0.2712	LR: 0.000800
Training Epoch: 20 [34560/46250]	Loss: 0.2765	LR: 0.000800
Training Epoch: 20 [34816/46250]	Loss: 0.2196	LR: 0.000800
Training Epoch: 20 [35072/46250]	Loss: 0.2523	LR: 0.000800
Training Epoch: 20 [35328/46250]	Loss: 0.2410	LR: 0.000800
Training Epoch: 20 [35584/46250]	Loss: 0.2344	LR: 0.000800
Training Epoch: 20 [35840/46250]	Loss: 0.2652	LR: 0.000800
Training Epoch: 20 [36096/46250]	Loss: 0.2977	LR: 0.000800
Training Epoch: 20 [36352/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 20 [36608/46250]	Loss: 0.2342	LR: 0.000800
Training Epoch: 20 [36864/46250]	Loss: 0.3190	LR: 0.000800
Training Epoch: 20 [37120/46250]	Loss: 0.2465	LR: 0.000800
Training Epoch: 20 [37376/46250]	Loss: 0.2764	LR: 0.000800
Training Epoch: 20 [37632/46250]	Loss: 0.3181	LR: 0.000800
Training Epoch: 20 [37888/46250]	Loss: 0.2729	LR: 0.000800
Training Epoch: 20 [38144/46250]	Loss: 0.2850	LR: 0.000800
Training Epoch: 20 [38400/46250]	Loss: 0.1747	LR: 0.000800
Training Epoch: 20 [38656/46250]	Loss: 0.2505	LR: 0.000800
Training Epoch: 20 [38912/46250]	Loss: 0.2311	LR: 0.000800
Training Epoch: 20 [39168/46250]	Loss: 0.2063	LR: 0.000800
Training Epoch: 20 [39424/46250]	Loss: 0.2515	LR: 0.000800
Training Epoch: 20 [39680/46250]	Loss: 0.2366	LR: 0.000800
Training Epoch: 20 [39936/46250]	Loss: 0.2416	LR: 0.000800
Training Epoch: 20 [40192/46250]	Loss: 0.3541	LR: 0.000800
Training Epoch: 20 [40448/46250]	Loss: 0.3534	LR: 0.000800
Training Epoch: 20 [40704/46250]	Loss: 0.2728	LR: 0.000800
Training Epoch: 20 [40960/46250]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [41216/46250]	Loss: 0.3167	LR: 0.000800
Training Epoch: 20 [41472/46250]	Loss: 0.3794	LR: 0.000800
Training Epoch: 20 [41728/46250]	Loss: 0.2202	LR: 0.000800
Training Epoch: 20 [41984/46250]	Loss: 0.1995	LR: 0.000800
Training Epoch: 20 [42240/46250]	Loss: 0.2085	LR: 0.000800
Training Epoch: 20 [42496/46250]	Loss: 0.2908	LR: 0.000800
Training Epoch: 20 [42752/46250]	Loss: 0.2456	LR: 0.000800
Training Epoch: 20 [43008/46250]	Loss: 0.2742	LR: 0.000800
Training Epoch: 20 [43264/46250]	Loss: 0.3745	LR: 0.000800
Training Epoch: 20 [43520/46250]	Loss: 0.2463	LR: 0.000800
Training Epoch: 20 [43776/46250]	Loss: 0.3353	LR: 0.000800
Training Epoch: 20 [44032/46250]	Loss: 0.3705	LR: 0.000800
Training Epoch: 20 [44288/46250]	Loss: 0.2865	LR: 0.000800
Training Epoch: 20 [44544/46250]	Loss: 0.3786	LR: 0.000800
Training Epoch: 20 [44800/46250]	Loss: 0.3293	LR: 0.000800
Training Epoch: 20 [45056/46250]	Loss: 0.3144	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.3146	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2421	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2720	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.2365	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2698, Train Accuracy: 0.9063
Epoch 20 training time consumed: 27.70s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8909, Time consumed:0.88s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.19921875
Retain Accuracy: 91.04137420654297
Zero-Retain Forget (ZRF): 0.8253806829452515
Membership Inference Attack (MIA): 0.6298666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.5326666666666666
Forget vs Test Membership Inference Attack (MIA): 0.5486666666666666
Test vs Retain Membership Inference Attack (MIA): 0.51
Train vs Test Membership Inference Attack (MIA): 0.52125
Forget Set Accuracy (Df): 87.89596557617188
Method Execution Time: 1523.98 seconds
