hello
hello

📌 Retain class distribution for seed 1:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

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

📊 Updated class distribution:
Retain set:
  Class 0: 4750
  Class 1: 4750
  Class 2: 4750
  Class 3: 4750
  Class 4: 4750
  Class 5: 4750
  Class 6: 4750
  Class 7: 4750
  Class 8: 4750
  Class 9: 4750
Forget set:
  Class 0: 250
  Class 1: 250
  Class 2: 250
  Class 3: 250
  Class 4: 250
  Class 5: 250
  Class 6: 250
  Class 7: 250
  Class 8: 250
  Class 9: 250
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 2.4065	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 2.3451	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.3589	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 2.4026	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 2.3087	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.2765	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.2138	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.2735	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.2424	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.2841	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.2473	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.1227	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.2543	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.0937	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.0581	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.0540	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.0694	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.0414	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 1.9418	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.0203	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.0248	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 1.8614	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 1.8802	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 1.8704	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 1.7973	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 1.8607	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 1.8585	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 1.9105	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 1.8749	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.0262	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 1.8928	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 1.8553	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 1.8455	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 1.8928	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 1.7537	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 1.7952	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 1.8378	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 1.7939	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 1.9001	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 1.7469	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 1.8389	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 1.7547	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 1.8456	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 1.7911	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 1.8278	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 1.7810	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 1.8860	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.0090	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 1.6997	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 1.8618	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 1.8633	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 1.7717	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 1.8107	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.0302	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 1.7985	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 1.8478	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 1.7933	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 1.6668	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 1.8249	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 1.6604	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 1.7900	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 1.8575	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 1.8050	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 1.6029	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 1.9269	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 1.8632	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 1.7030	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 1.7893	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 1.6853	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 1.6850	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 1.6479	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 1.7176	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 1.6242	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 1.6268	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 1.6435	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 1.6676	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 1.6382	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 1.6048	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 1.5833	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 1.7161	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 1.6655	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 1.6183	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 1.7692	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 1.5398	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 1.6346	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 1.6841	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 1.7568	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 1.6902	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 1.7480	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 1.5343	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 1.4786	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 1.7813	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 1.6651	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 1.7107	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 1.4691	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 1.7279	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 1.6778	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 1.6505	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 1.6223	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 1.4604	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 1.7249	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 1.8221	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 1.5491	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 1.7603	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 1.6819	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 1.8335	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 1.6823	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 1.7225	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 1.8902	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 1.5747	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 1.6764	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 1.8718	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 1.6857	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 1.5902	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 1.6739	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 1.7634	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 1.5228	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 1.6979	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 1.7295	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 1.5869	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 1.7386	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 1.5087	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 1.6054	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 1.6453	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 1.5382	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 1.6087	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 1.5594	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 1.5642	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 1.6092	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 1.5262	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 1.5582	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 1.6460	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 1.6238	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 1.6345	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 1.6517	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 1.5463	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 1.6111	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 1.4168	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 1.6063	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 1.5509	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 1.5568	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 1.4601	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 1.5819	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 1.4357	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 1.4875	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 1.4370	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 1.4747	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 1.5280	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 1.5323	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 1.5341	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 1.3572	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 1.4692	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 1.4667	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 1.4443	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 1.3325	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 1.5786	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 1.4853	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 1.4795	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 1.6130	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 1.4219	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 1.4341	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 1.5380	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 1.5005	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 1.4723	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 1.4596	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 1.4172	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 1.3484	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 1.4039	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 1.4655	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 1.4389	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 1.5255	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 1.4505	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 1.5367	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 1.5487	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 1.4496	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 1.4912	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 1.2616	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 1.4907	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 1.4053	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 1.4425	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 1.5938	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 1.4742	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 1.3540	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 1.4608	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 1.5285	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 1.4471	LR: 0.099462
Epoch 1 - Average Train Loss: 1.7110, Train Accuracy: 0.3740
Epoch 1 training time consumed: 30.21s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0069, Accuracy: 0.4618, Time consumed:1.34s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 1.2772	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 1.3127	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 1.5643	LR: 0.100000
Training Epoch: 2 [1024/47500]	Loss: 1.5335	LR: 0.100000
Training Epoch: 2 [1280/47500]	Loss: 1.4012	LR: 0.100000
Training Epoch: 2 [1536/47500]	Loss: 1.5406	LR: 0.100000
Training Epoch: 2 [1792/47500]	Loss: 1.4178	LR: 0.100000
Training Epoch: 2 [2048/47500]	Loss: 1.3372	LR: 0.100000
Training Epoch: 2 [2304/47500]	Loss: 1.4446	LR: 0.100000
Training Epoch: 2 [2560/47500]	Loss: 1.3163	LR: 0.100000
Training Epoch: 2 [2816/47500]	Loss: 1.3535	LR: 0.100000
Training Epoch: 2 [3072/47500]	Loss: 1.4932	LR: 0.100000
Training Epoch: 2 [3328/47500]	Loss: 1.4549	LR: 0.100000
Training Epoch: 2 [3584/47500]	Loss: 1.3481	LR: 0.100000
Training Epoch: 2 [3840/47500]	Loss: 1.2369	LR: 0.100000
Training Epoch: 2 [4096/47500]	Loss: 1.4635	LR: 0.100000
Training Epoch: 2 [4352/47500]	Loss: 1.5149	LR: 0.100000
Training Epoch: 2 [4608/47500]	Loss: 1.3227	LR: 0.100000
Training Epoch: 2 [4864/47500]	Loss: 1.3313	LR: 0.100000
Training Epoch: 2 [5120/47500]	Loss: 1.3736	LR: 0.100000
Training Epoch: 2 [5376/47500]	Loss: 1.3463	LR: 0.100000
Training Epoch: 2 [5632/47500]	Loss: 1.5976	LR: 0.100000
Training Epoch: 2 [5888/47500]	Loss: 1.3066	LR: 0.100000
Training Epoch: 2 [6144/47500]	Loss: 1.3816	LR: 0.100000
Training Epoch: 2 [6400/47500]	Loss: 1.4681	LR: 0.100000
Training Epoch: 2 [6656/47500]	Loss: 1.4446	LR: 0.100000
Training Epoch: 2 [6912/47500]	Loss: 1.4741	LR: 0.100000
Training Epoch: 2 [7168/47500]	Loss: 1.4460	LR: 0.100000
Training Epoch: 2 [7424/47500]	Loss: 1.3982	LR: 0.100000
Training Epoch: 2 [7680/47500]	Loss: 1.5397	LR: 0.100000
Training Epoch: 2 [7936/47500]	Loss: 1.4317	LR: 0.100000
Training Epoch: 2 [8192/47500]	Loss: 1.5235	LR: 0.100000
Training Epoch: 2 [8448/47500]	Loss: 1.5478	LR: 0.100000
Training Epoch: 2 [8704/47500]	Loss: 1.3793	LR: 0.100000
Training Epoch: 2 [8960/47500]	Loss: 1.3787	LR: 0.100000
Training Epoch: 2 [9216/47500]	Loss: 1.5798	LR: 0.100000
Training Epoch: 2 [9472/47500]	Loss: 1.5774	LR: 0.100000
Training Epoch: 2 [9728/47500]	Loss: 1.4432	LR: 0.100000
Training Epoch: 2 [9984/47500]	Loss: 1.4564	LR: 0.100000
Training Epoch: 2 [10240/47500]	Loss: 1.4382	LR: 0.100000
Training Epoch: 2 [10496/47500]	Loss: 1.4024	LR: 0.100000
Training Epoch: 2 [10752/47500]	Loss: 1.3248	LR: 0.100000
Training Epoch: 2 [11008/47500]	Loss: 1.2867	LR: 0.100000
Training Epoch: 2 [11264/47500]	Loss: 1.2735	LR: 0.100000
Training Epoch: 2 [11520/47500]	Loss: 1.2445	LR: 0.100000
Training Epoch: 2 [11776/47500]	Loss: 1.4154	LR: 0.100000
Training Epoch: 2 [12032/47500]	Loss: 1.3679	LR: 0.100000
Training Epoch: 2 [12288/47500]	Loss: 1.5455	LR: 0.100000
Training Epoch: 2 [12544/47500]	Loss: 1.3453	LR: 0.100000
Training Epoch: 2 [12800/47500]	Loss: 1.3366	LR: 0.100000
Training Epoch: 2 [13056/47500]	Loss: 1.3585	LR: 0.100000
Training Epoch: 2 [13312/47500]	Loss: 1.3704	LR: 0.100000
Training Epoch: 2 [13568/47500]	Loss: 1.3429	LR: 0.100000
Training Epoch: 2 [13824/47500]	Loss: 1.4038	LR: 0.100000
Training Epoch: 2 [14080/47500]	Loss: 1.2154	LR: 0.100000
Training Epoch: 2 [14336/47500]	Loss: 1.3870	LR: 0.100000
Training Epoch: 2 [14592/47500]	Loss: 1.2621	LR: 0.100000
Training Epoch: 2 [14848/47500]	Loss: 1.1935	LR: 0.100000
Training Epoch: 2 [15104/47500]	Loss: 1.2586	LR: 0.100000
Training Epoch: 2 [15360/47500]	Loss: 1.3340	LR: 0.100000
Training Epoch: 2 [15616/47500]	Loss: 1.4628	LR: 0.100000
Training Epoch: 2 [15872/47500]	Loss: 1.2611	LR: 0.100000
Training Epoch: 2 [16128/47500]	Loss: 1.2879	LR: 0.100000
Training Epoch: 2 [16384/47500]	Loss: 1.1523	LR: 0.100000
Training Epoch: 2 [16640/47500]	Loss: 1.3711	LR: 0.100000
Training Epoch: 2 [16896/47500]	Loss: 1.3447	LR: 0.100000
Training Epoch: 2 [17152/47500]	Loss: 1.5265	LR: 0.100000
Training Epoch: 2 [17408/47500]	Loss: 1.2666	LR: 0.100000
Training Epoch: 2 [17664/47500]	Loss: 1.1796	LR: 0.100000
Training Epoch: 2 [17920/47500]	Loss: 1.1876	LR: 0.100000
Training Epoch: 2 [18176/47500]	Loss: 1.2644	LR: 0.100000
Training Epoch: 2 [18432/47500]	Loss: 1.3367	LR: 0.100000
Training Epoch: 2 [18688/47500]	Loss: 1.3269	LR: 0.100000
Training Epoch: 2 [18944/47500]	Loss: 1.3273	LR: 0.100000
Training Epoch: 2 [19200/47500]	Loss: 1.2648	LR: 0.100000
Training Epoch: 2 [19456/47500]	Loss: 1.3377	LR: 0.100000
Training Epoch: 2 [19712/47500]	Loss: 1.3486	LR: 0.100000
Training Epoch: 2 [19968/47500]	Loss: 1.3822	LR: 0.100000
Training Epoch: 2 [20224/47500]	Loss: 1.2075	LR: 0.100000
Training Epoch: 2 [20480/47500]	Loss: 1.1045	LR: 0.100000
Training Epoch: 2 [20736/47500]	Loss: 1.0809	LR: 0.100000
Training Epoch: 2 [20992/47500]	Loss: 1.1666	LR: 0.100000
Training Epoch: 2 [21248/47500]	Loss: 1.1847	LR: 0.100000
Training Epoch: 2 [21504/47500]	Loss: 1.1572	LR: 0.100000
Training Epoch: 2 [21760/47500]	Loss: 1.1968	LR: 0.100000
Training Epoch: 2 [22016/47500]	Loss: 1.1168	LR: 0.100000
Training Epoch: 2 [22272/47500]	Loss: 1.2848	LR: 0.100000
Training Epoch: 2 [22528/47500]	Loss: 1.2960	LR: 0.100000
Training Epoch: 2 [22784/47500]	Loss: 1.1565	LR: 0.100000
Training Epoch: 2 [23040/47500]	Loss: 1.0476	LR: 0.100000
Training Epoch: 2 [23296/47500]	Loss: 1.0837	LR: 0.100000
Training Epoch: 2 [23552/47500]	Loss: 1.2929	LR: 0.100000
Training Epoch: 2 [23808/47500]	Loss: 1.1793	LR: 0.100000
Training Epoch: 2 [24064/47500]	Loss: 1.1136	LR: 0.100000
Training Epoch: 2 [24320/47500]	Loss: 1.1443	LR: 0.100000
Training Epoch: 2 [24576/47500]	Loss: 1.0993	LR: 0.100000
Training Epoch: 2 [24832/47500]	Loss: 1.0671	LR: 0.100000
Training Epoch: 2 [25088/47500]	Loss: 1.2320	LR: 0.100000
Training Epoch: 2 [25344/47500]	Loss: 1.0377	LR: 0.100000
Training Epoch: 2 [25600/47500]	Loss: 1.0714	LR: 0.100000
Training Epoch: 2 [25856/47500]	Loss: 1.3389	LR: 0.100000
Training Epoch: 2 [26112/47500]	Loss: 1.1473	LR: 0.100000
Training Epoch: 2 [26368/47500]	Loss: 1.1931	LR: 0.100000
Training Epoch: 2 [26624/47500]	Loss: 1.1643	LR: 0.100000
Training Epoch: 2 [26880/47500]	Loss: 1.2963	LR: 0.100000
Training Epoch: 2 [27136/47500]	Loss: 1.2352	LR: 0.100000
Training Epoch: 2 [27392/47500]	Loss: 1.3320	LR: 0.100000
Training Epoch: 2 [27648/47500]	Loss: 1.0881	LR: 0.100000
Training Epoch: 2 [27904/47500]	Loss: 1.2236	LR: 0.100000
Training Epoch: 2 [28160/47500]	Loss: 1.1581	LR: 0.100000
Training Epoch: 2 [28416/47500]	Loss: 1.1363	LR: 0.100000
Training Epoch: 2 [28672/47500]	Loss: 1.1688	LR: 0.100000
Training Epoch: 2 [28928/47500]	Loss: 1.0521	LR: 0.100000
Training Epoch: 2 [29184/47500]	Loss: 1.1991	LR: 0.100000
Training Epoch: 2 [29440/47500]	Loss: 1.2052	LR: 0.100000
Training Epoch: 2 [29696/47500]	Loss: 1.1652	LR: 0.100000
Training Epoch: 2 [29952/47500]	Loss: 1.0908	LR: 0.100000
Training Epoch: 2 [30208/47500]	Loss: 1.0616	LR: 0.100000
Training Epoch: 2 [30464/47500]	Loss: 1.1253	LR: 0.100000
Training Epoch: 2 [30720/47500]	Loss: 1.0858	LR: 0.100000
Training Epoch: 2 [30976/47500]	Loss: 1.2233	LR: 0.100000
Training Epoch: 2 [31232/47500]	Loss: 1.1086	LR: 0.100000
Training Epoch: 2 [31488/47500]	Loss: 1.2385	LR: 0.100000
Training Epoch: 2 [31744/47500]	Loss: 1.2284	LR: 0.100000
Training Epoch: 2 [32000/47500]	Loss: 1.0605	LR: 0.100000
Training Epoch: 2 [32256/47500]	Loss: 1.0744	LR: 0.100000
Training Epoch: 2 [32512/47500]	Loss: 1.0837	LR: 0.100000
Training Epoch: 2 [32768/47500]	Loss: 1.0690	LR: 0.100000
Training Epoch: 2 [33024/47500]	Loss: 1.2023	LR: 0.100000
Training Epoch: 2 [33280/47500]	Loss: 1.2039	LR: 0.100000
Training Epoch: 2 [33536/47500]	Loss: 0.8968	LR: 0.100000
Training Epoch: 2 [33792/47500]	Loss: 1.0265	LR: 0.100000
Training Epoch: 2 [34048/47500]	Loss: 1.1879	LR: 0.100000
Training Epoch: 2 [34304/47500]	Loss: 1.4415	LR: 0.100000
Training Epoch: 2 [34560/47500]	Loss: 1.0581	LR: 0.100000
Training Epoch: 2 [34816/47500]	Loss: 1.0510	LR: 0.100000
Training Epoch: 2 [35072/47500]	Loss: 1.0545	LR: 0.100000
Training Epoch: 2 [35328/47500]	Loss: 1.0701	LR: 0.100000
Training Epoch: 2 [35584/47500]	Loss: 1.0082	LR: 0.100000
Training Epoch: 2 [35840/47500]	Loss: 0.9983	LR: 0.100000
Training Epoch: 2 [36096/47500]	Loss: 0.9226	LR: 0.100000
Training Epoch: 2 [36352/47500]	Loss: 1.0583	LR: 0.100000
Training Epoch: 2 [36608/47500]	Loss: 1.0338	LR: 0.100000
Training Epoch: 2 [36864/47500]	Loss: 1.0738	LR: 0.100000
Training Epoch: 2 [37120/47500]	Loss: 1.0102	LR: 0.100000
Training Epoch: 2 [37376/47500]	Loss: 1.0783	LR: 0.100000
Training Epoch: 2 [37632/47500]	Loss: 1.0623	LR: 0.100000
Training Epoch: 2 [37888/47500]	Loss: 0.9100	LR: 0.100000
Training Epoch: 2 [38144/47500]	Loss: 1.1416	LR: 0.100000
Training Epoch: 2 [38400/47500]	Loss: 0.9776	LR: 0.100000
Training Epoch: 2 [38656/47500]	Loss: 1.1142	LR: 0.100000
Training Epoch: 2 [38912/47500]	Loss: 1.0275	LR: 0.100000
Training Epoch: 2 [39168/47500]	Loss: 1.0454	LR: 0.100000
Training Epoch: 2 [39424/47500]	Loss: 1.0989	LR: 0.100000
Training Epoch: 2 [39680/47500]	Loss: 1.1735	LR: 0.100000
Training Epoch: 2 [39936/47500]	Loss: 1.1339	LR: 0.100000
Training Epoch: 2 [40192/47500]	Loss: 1.0583	LR: 0.100000
Training Epoch: 2 [40448/47500]	Loss: 1.1085	LR: 0.100000
Training Epoch: 2 [40704/47500]	Loss: 1.0115	LR: 0.100000
Training Epoch: 2 [40960/47500]	Loss: 1.1000	LR: 0.100000
Training Epoch: 2 [41216/47500]	Loss: 1.0782	LR: 0.100000
Training Epoch: 2 [41472/47500]	Loss: 1.1108	LR: 0.100000
Training Epoch: 2 [41728/47500]	Loss: 1.0987	LR: 0.100000
Training Epoch: 2 [41984/47500]	Loss: 1.1286	LR: 0.100000
Training Epoch: 2 [42240/47500]	Loss: 1.1838	LR: 0.100000
Training Epoch: 2 [42496/47500]	Loss: 1.0607	LR: 0.100000
Training Epoch: 2 [42752/47500]	Loss: 1.0428	LR: 0.100000
Training Epoch: 2 [43008/47500]	Loss: 1.0498	LR: 0.100000
Training Epoch: 2 [43264/47500]	Loss: 0.9329	LR: 0.100000
Training Epoch: 2 [43520/47500]	Loss: 1.1462	LR: 0.100000
Training Epoch: 2 [43776/47500]	Loss: 1.0424	LR: 0.100000
Training Epoch: 2 [44032/47500]	Loss: 1.0739	LR: 0.100000
Training Epoch: 2 [44288/47500]	Loss: 1.1796	LR: 0.100000
Training Epoch: 2 [44544/47500]	Loss: 1.1256	LR: 0.100000
Training Epoch: 2 [44800/47500]	Loss: 1.1135	LR: 0.100000
Training Epoch: 2 [45056/47500]	Loss: 1.1465	LR: 0.100000
Training Epoch: 2 [45312/47500]	Loss: 1.0380	LR: 0.100000
Training Epoch: 2 [45568/47500]	Loss: 1.1203	LR: 0.100000
Training Epoch: 2 [45824/47500]	Loss: 1.0249	LR: 0.100000
Training Epoch: 2 [46080/47500]	Loss: 1.1889	LR: 0.100000
Training Epoch: 2 [46336/47500]	Loss: 0.9732	LR: 0.100000
Training Epoch: 2 [46592/47500]	Loss: 1.0347	LR: 0.100000
Training Epoch: 2 [46848/47500]	Loss: 1.0032	LR: 0.100000
Training Epoch: 2 [47104/47500]	Loss: 0.8598	LR: 0.100000
Training Epoch: 2 [47360/47500]	Loss: 1.0762	LR: 0.100000
Training Epoch: 2 [47500/47500]	Loss: 0.9658	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2238, Train Accuracy: 0.5633
Epoch 2 training time consumed: 28.74s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0043, Accuracy: 0.6152, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-2-best.pth
Training Epoch: 3 [256/47500]	Loss: 1.0630	LR: 0.100000
Training Epoch: 3 [512/47500]	Loss: 0.9856	LR: 0.100000
Training Epoch: 3 [768/47500]	Loss: 0.9704	LR: 0.100000
Training Epoch: 3 [1024/47500]	Loss: 1.0143	LR: 0.100000
Training Epoch: 3 [1280/47500]	Loss: 1.1227	LR: 0.100000
Training Epoch: 3 [1536/47500]	Loss: 1.0596	LR: 0.100000
Training Epoch: 3 [1792/47500]	Loss: 1.3204	LR: 0.100000
Training Epoch: 3 [2048/47500]	Loss: 1.0427	LR: 0.100000
Training Epoch: 3 [2304/47500]	Loss: 0.9589	LR: 0.100000
Training Epoch: 3 [2560/47500]	Loss: 1.0548	LR: 0.100000
Training Epoch: 3 [2816/47500]	Loss: 1.1584	LR: 0.100000
Training Epoch: 3 [3072/47500]	Loss: 1.0704	LR: 0.100000
Training Epoch: 3 [3328/47500]	Loss: 1.0457	LR: 0.100000
Training Epoch: 3 [3584/47500]	Loss: 1.1174	LR: 0.100000
Training Epoch: 3 [3840/47500]	Loss: 1.0239	LR: 0.100000
Training Epoch: 3 [4096/47500]	Loss: 0.9921	LR: 0.100000
Training Epoch: 3 [4352/47500]	Loss: 1.0641	LR: 0.100000
Training Epoch: 3 [4608/47500]	Loss: 1.2084	LR: 0.100000
Training Epoch: 3 [4864/47500]	Loss: 1.0323	LR: 0.100000
Training Epoch: 3 [5120/47500]	Loss: 0.9734	LR: 0.100000
Training Epoch: 3 [5376/47500]	Loss: 0.9096	LR: 0.100000
Training Epoch: 3 [5632/47500]	Loss: 1.0448	LR: 0.100000
Training Epoch: 3 [5888/47500]	Loss: 1.0327	LR: 0.100000
Training Epoch: 3 [6144/47500]	Loss: 1.0427	LR: 0.100000
Training Epoch: 3 [6400/47500]	Loss: 1.0184	LR: 0.100000
Training Epoch: 3 [6656/47500]	Loss: 0.9659	LR: 0.100000
Training Epoch: 3 [6912/47500]	Loss: 0.8762	LR: 0.100000
Training Epoch: 3 [7168/47500]	Loss: 1.0285	LR: 0.100000
Training Epoch: 3 [7424/47500]	Loss: 1.1141	LR: 0.100000
Training Epoch: 3 [7680/47500]	Loss: 0.9455	LR: 0.100000
Training Epoch: 3 [7936/47500]	Loss: 1.0087	LR: 0.100000
Training Epoch: 3 [8192/47500]	Loss: 0.9793	LR: 0.100000
Training Epoch: 3 [8448/47500]	Loss: 1.0288	LR: 0.100000
Training Epoch: 3 [8704/47500]	Loss: 1.0394	LR: 0.100000
Training Epoch: 3 [8960/47500]	Loss: 1.0000	LR: 0.100000
Training Epoch: 3 [9216/47500]	Loss: 0.9426	LR: 0.100000
Training Epoch: 3 [9472/47500]	Loss: 0.9658	LR: 0.100000
Training Epoch: 3 [9728/47500]	Loss: 0.8538	LR: 0.100000
Training Epoch: 3 [9984/47500]	Loss: 0.9741	LR: 0.100000
Training Epoch: 3 [10240/47500]	Loss: 0.9505	LR: 0.100000
Training Epoch: 3 [10496/47500]	Loss: 1.0715	LR: 0.100000
Training Epoch: 3 [10752/47500]	Loss: 1.0518	LR: 0.100000
Training Epoch: 3 [11008/47500]	Loss: 0.8935	LR: 0.100000
Training Epoch: 3 [11264/47500]	Loss: 0.9988	LR: 0.100000
Training Epoch: 3 [11520/47500]	Loss: 0.9547	LR: 0.100000
Training Epoch: 3 [11776/47500]	Loss: 0.8750	LR: 0.100000
Training Epoch: 3 [12032/47500]	Loss: 1.0041	LR: 0.100000
Training Epoch: 3 [12288/47500]	Loss: 0.8925	LR: 0.100000
Training Epoch: 3 [12544/47500]	Loss: 1.0447	LR: 0.100000
Training Epoch: 3 [12800/47500]	Loss: 0.9263	LR: 0.100000
Training Epoch: 3 [13056/47500]	Loss: 0.8940	LR: 0.100000
Training Epoch: 3 [13312/47500]	Loss: 0.9403	LR: 0.100000
Training Epoch: 3 [13568/47500]	Loss: 0.8920	LR: 0.100000
Training Epoch: 3 [13824/47500]	Loss: 1.0323	LR: 0.100000
Training Epoch: 3 [14080/47500]	Loss: 0.9767	LR: 0.100000
Training Epoch: 3 [14336/47500]	Loss: 0.8666	LR: 0.100000
Training Epoch: 3 [14592/47500]	Loss: 0.9938	LR: 0.100000
Training Epoch: 3 [14848/47500]	Loss: 0.8432	LR: 0.100000
Training Epoch: 3 [15104/47500]	Loss: 0.8947	LR: 0.100000
Training Epoch: 3 [15360/47500]	Loss: 1.0217	LR: 0.100000
Training Epoch: 3 [15616/47500]	Loss: 1.1010	LR: 0.100000
Training Epoch: 3 [15872/47500]	Loss: 0.9942	LR: 0.100000
Training Epoch: 3 [16128/47500]	Loss: 0.8549	LR: 0.100000
Training Epoch: 3 [16384/47500]	Loss: 1.0101	LR: 0.100000
Training Epoch: 3 [16640/47500]	Loss: 1.0035	LR: 0.100000
Training Epoch: 3 [16896/47500]	Loss: 1.0252	LR: 0.100000
Training Epoch: 3 [17152/47500]	Loss: 0.9471	LR: 0.100000
Training Epoch: 3 [17408/47500]	Loss: 0.9080	LR: 0.100000
Training Epoch: 3 [17664/47500]	Loss: 0.9810	LR: 0.100000
Training Epoch: 3 [17920/47500]	Loss: 0.9247	LR: 0.100000
Training Epoch: 3 [18176/47500]	Loss: 0.9270	LR: 0.100000
Training Epoch: 3 [18432/47500]	Loss: 0.8637	LR: 0.100000
Training Epoch: 3 [18688/47500]	Loss: 0.8352	LR: 0.100000
Training Epoch: 3 [18944/47500]	Loss: 0.9451	LR: 0.100000
Training Epoch: 3 [19200/47500]	Loss: 1.0262	LR: 0.100000
Training Epoch: 3 [19456/47500]	Loss: 0.8758	LR: 0.100000
Training Epoch: 3 [19712/47500]	Loss: 1.0530	LR: 0.100000
Training Epoch: 3 [19968/47500]	Loss: 0.9000	LR: 0.100000
Training Epoch: 3 [20224/47500]	Loss: 0.9076	LR: 0.100000
Training Epoch: 3 [20480/47500]	Loss: 1.0036	LR: 0.100000
Training Epoch: 3 [20736/47500]	Loss: 0.9969	LR: 0.100000
Training Epoch: 3 [20992/47500]	Loss: 0.8906	LR: 0.100000
Training Epoch: 3 [21248/47500]	Loss: 0.8124	LR: 0.100000
Training Epoch: 3 [21504/47500]	Loss: 0.9685	LR: 0.100000
Training Epoch: 3 [21760/47500]	Loss: 0.9332	LR: 0.100000
Training Epoch: 3 [22016/47500]	Loss: 0.9336	LR: 0.100000
Training Epoch: 3 [22272/47500]	Loss: 0.9988	LR: 0.100000
Training Epoch: 3 [22528/47500]	Loss: 0.8626	LR: 0.100000
Training Epoch: 3 [22784/47500]	Loss: 0.9431	LR: 0.100000
Training Epoch: 3 [23040/47500]	Loss: 1.1260	LR: 0.100000
Training Epoch: 3 [23296/47500]	Loss: 0.9081	LR: 0.100000
Training Epoch: 3 [23552/47500]	Loss: 0.9695	LR: 0.100000
Training Epoch: 3 [23808/47500]	Loss: 0.8890	LR: 0.100000
Training Epoch: 3 [24064/47500]	Loss: 0.8097	LR: 0.100000
Training Epoch: 3 [24320/47500]	Loss: 0.8352	LR: 0.100000
Training Epoch: 3 [24576/47500]	Loss: 0.8557	LR: 0.100000
Training Epoch: 3 [24832/47500]	Loss: 0.8378	LR: 0.100000
Training Epoch: 3 [25088/47500]	Loss: 0.8904	LR: 0.100000
Training Epoch: 3 [25344/47500]	Loss: 0.8578	LR: 0.100000
Training Epoch: 3 [25600/47500]	Loss: 0.7381	LR: 0.100000
Training Epoch: 3 [25856/47500]	Loss: 1.0199	LR: 0.100000
Training Epoch: 3 [26112/47500]	Loss: 0.9015	LR: 0.100000
Training Epoch: 3 [26368/47500]	Loss: 0.9224	LR: 0.100000
Training Epoch: 3 [26624/47500]	Loss: 0.9100	LR: 0.100000
Training Epoch: 3 [26880/47500]	Loss: 0.9955	LR: 0.100000
Training Epoch: 3 [27136/47500]	Loss: 0.9176	LR: 0.100000
Training Epoch: 3 [27392/47500]	Loss: 0.8235	LR: 0.100000
Training Epoch: 3 [27648/47500]	Loss: 0.9874	LR: 0.100000
Training Epoch: 3 [27904/47500]	Loss: 0.8678	LR: 0.100000
Training Epoch: 3 [28160/47500]	Loss: 0.8925	LR: 0.100000
Training Epoch: 3 [28416/47500]	Loss: 0.9023	LR: 0.100000
Training Epoch: 3 [28672/47500]	Loss: 0.9693	LR: 0.100000
Training Epoch: 3 [28928/47500]	Loss: 0.9382	LR: 0.100000
Training Epoch: 3 [29184/47500]	Loss: 0.7697	LR: 0.100000
Training Epoch: 3 [29440/47500]	Loss: 0.9058	LR: 0.100000
Training Epoch: 3 [29696/47500]	Loss: 0.9637	LR: 0.100000
Training Epoch: 3 [29952/47500]	Loss: 0.9431	LR: 0.100000
Training Epoch: 3 [30208/47500]	Loss: 0.8944	LR: 0.100000
Training Epoch: 3 [30464/47500]	Loss: 0.9627	LR: 0.100000
Training Epoch: 3 [30720/47500]	Loss: 0.8850	LR: 0.100000
Training Epoch: 3 [30976/47500]	Loss: 0.9350	LR: 0.100000
Training Epoch: 3 [31232/47500]	Loss: 0.9275	LR: 0.100000
Training Epoch: 3 [31488/47500]	Loss: 0.9083	LR: 0.100000
Training Epoch: 3 [31744/47500]	Loss: 0.8100	LR: 0.100000
Training Epoch: 3 [32000/47500]	Loss: 0.8756	LR: 0.100000
Training Epoch: 3 [32256/47500]	Loss: 0.8262	LR: 0.100000
Training Epoch: 3 [32512/47500]	Loss: 0.8244	LR: 0.100000
Training Epoch: 3 [32768/47500]	Loss: 0.9130	LR: 0.100000
Training Epoch: 3 [33024/47500]	Loss: 0.9272	LR: 0.100000
Training Epoch: 3 [33280/47500]	Loss: 1.0185	LR: 0.100000
Training Epoch: 3 [33536/47500]	Loss: 0.7884	LR: 0.100000
Training Epoch: 3 [33792/47500]	Loss: 0.9311	LR: 0.100000
Training Epoch: 3 [34048/47500]	Loss: 0.9592	LR: 0.100000
Training Epoch: 3 [34304/47500]	Loss: 0.8895	LR: 0.100000
Training Epoch: 3 [34560/47500]	Loss: 0.9132	LR: 0.100000
Training Epoch: 3 [34816/47500]	Loss: 0.9474	LR: 0.100000
Training Epoch: 3 [35072/47500]	Loss: 0.8078	LR: 0.100000
Training Epoch: 3 [35328/47500]	Loss: 0.9315	LR: 0.100000
Training Epoch: 3 [35584/47500]	Loss: 0.8595	LR: 0.100000
Training Epoch: 3 [35840/47500]	Loss: 0.9066	LR: 0.100000
Training Epoch: 3 [36096/47500]	Loss: 0.8325	LR: 0.100000
Training Epoch: 3 [36352/47500]	Loss: 0.9106	LR: 0.100000
Training Epoch: 3 [36608/47500]	Loss: 0.8216	LR: 0.100000
Training Epoch: 3 [36864/47500]	Loss: 0.9608	LR: 0.100000
Training Epoch: 3 [37120/47500]	Loss: 0.9594	LR: 0.100000
Training Epoch: 3 [37376/47500]	Loss: 1.0172	LR: 0.100000
Training Epoch: 3 [37632/47500]	Loss: 0.7989	LR: 0.100000
Training Epoch: 3 [37888/47500]	Loss: 0.9313	LR: 0.100000
Training Epoch: 3 [38144/47500]	Loss: 0.8360	LR: 0.100000
Training Epoch: 3 [38400/47500]	Loss: 0.9460	LR: 0.100000
Training Epoch: 3 [38656/47500]	Loss: 0.9666	LR: 0.100000
Training Epoch: 3 [38912/47500]	Loss: 0.8553	LR: 0.100000
Training Epoch: 3 [39168/47500]	Loss: 0.8830	LR: 0.100000
Training Epoch: 3 [39424/47500]	Loss: 0.9575	LR: 0.100000
Training Epoch: 3 [39680/47500]	Loss: 0.9397	LR: 0.100000
Training Epoch: 3 [39936/47500]	Loss: 0.8318	LR: 0.100000
Training Epoch: 3 [40192/47500]	Loss: 0.9023	LR: 0.100000
Training Epoch: 3 [40448/47500]	Loss: 0.9009	LR: 0.100000
Training Epoch: 3 [40704/47500]	Loss: 0.8141	LR: 0.100000
Training Epoch: 3 [40960/47500]	Loss: 0.8756	LR: 0.100000
Training Epoch: 3 [41216/47500]	Loss: 0.9185	LR: 0.100000
Training Epoch: 3 [41472/47500]	Loss: 0.9258	LR: 0.100000
Training Epoch: 3 [41728/47500]	Loss: 0.8576	LR: 0.100000
Training Epoch: 3 [41984/47500]	Loss: 0.8653	LR: 0.100000
Training Epoch: 3 [42240/47500]	Loss: 0.8491	LR: 0.100000
Training Epoch: 3 [42496/47500]	Loss: 0.7925	LR: 0.100000
Training Epoch: 3 [42752/47500]	Loss: 0.8012	LR: 0.100000
Training Epoch: 3 [43008/47500]	Loss: 0.7625	LR: 0.100000
Training Epoch: 3 [43264/47500]	Loss: 0.8823	LR: 0.100000
Training Epoch: 3 [43520/47500]	Loss: 0.7995	LR: 0.100000
Training Epoch: 3 [43776/47500]	Loss: 0.8167	LR: 0.100000
Training Epoch: 3 [44032/47500]	Loss: 0.8729	LR: 0.100000
Training Epoch: 3 [44288/47500]	Loss: 0.8118	LR: 0.100000
Training Epoch: 3 [44544/47500]	Loss: 0.9467	LR: 0.100000
Training Epoch: 3 [44800/47500]	Loss: 0.8125	LR: 0.100000
Training Epoch: 3 [45056/47500]	Loss: 0.9153	LR: 0.100000
Training Epoch: 3 [45312/47500]	Loss: 0.9350	LR: 0.100000
Training Epoch: 3 [45568/47500]	Loss: 0.8783	LR: 0.100000
Training Epoch: 3 [45824/47500]	Loss: 0.8280	LR: 0.100000
Training Epoch: 3 [46080/47500]	Loss: 0.8528	LR: 0.100000
Training Epoch: 3 [46336/47500]	Loss: 0.8937	LR: 0.100000
Training Epoch: 3 [46592/47500]	Loss: 0.7777	LR: 0.100000
Training Epoch: 3 [46848/47500]	Loss: 0.8986	LR: 0.100000
Training Epoch: 3 [47104/47500]	Loss: 0.8459	LR: 0.100000
Training Epoch: 3 [47360/47500]	Loss: 0.8666	LR: 0.100000
Training Epoch: 3 [47500/47500]	Loss: 0.8521	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9340, Train Accuracy: 0.6714
Epoch 3 training time consumed: 28.69s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0043, Accuracy: 0.6346, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 0.7998	LR: 0.100000
Training Epoch: 4 [512/47500]	Loss: 0.8563	LR: 0.100000
Training Epoch: 4 [768/47500]	Loss: 0.8609	LR: 0.100000
Training Epoch: 4 [1024/47500]	Loss: 0.8303	LR: 0.100000
Training Epoch: 4 [1280/47500]	Loss: 0.9043	LR: 0.100000
Training Epoch: 4 [1536/47500]	Loss: 0.7090	LR: 0.100000
Training Epoch: 4 [1792/47500]	Loss: 0.9285	LR: 0.100000
Training Epoch: 4 [2048/47500]	Loss: 0.8818	LR: 0.100000
Training Epoch: 4 [2304/47500]	Loss: 0.8743	LR: 0.100000
Training Epoch: 4 [2560/47500]	Loss: 0.6679	LR: 0.100000
Training Epoch: 4 [2816/47500]	Loss: 0.8950	LR: 0.100000
Training Epoch: 4 [3072/47500]	Loss: 0.8389	LR: 0.100000
Training Epoch: 4 [3328/47500]	Loss: 0.9067	LR: 0.100000
Training Epoch: 4 [3584/47500]	Loss: 0.8568	LR: 0.100000
Training Epoch: 4 [3840/47500]	Loss: 0.7720	LR: 0.100000
Training Epoch: 4 [4096/47500]	Loss: 0.8069	LR: 0.100000
Training Epoch: 4 [4352/47500]	Loss: 0.8890	LR: 0.100000
Training Epoch: 4 [4608/47500]	Loss: 0.7394	LR: 0.100000
Training Epoch: 4 [4864/47500]	Loss: 0.7673	LR: 0.100000
Training Epoch: 4 [5120/47500]	Loss: 0.7548	LR: 0.100000
Training Epoch: 4 [5376/47500]	Loss: 0.8472	LR: 0.100000
Training Epoch: 4 [5632/47500]	Loss: 0.7808	LR: 0.100000
Training Epoch: 4 [5888/47500]	Loss: 0.8425	LR: 0.100000
Training Epoch: 4 [6144/47500]	Loss: 0.9369	LR: 0.100000
Training Epoch: 4 [6400/47500]	Loss: 0.8197	LR: 0.100000
Training Epoch: 4 [6656/47500]	Loss: 0.7741	LR: 0.100000
Training Epoch: 4 [6912/47500]	Loss: 0.7320	LR: 0.100000
Training Epoch: 4 [7168/47500]	Loss: 0.7425	LR: 0.100000
Training Epoch: 4 [7424/47500]	Loss: 0.9293	LR: 0.100000
Training Epoch: 4 [7680/47500]	Loss: 0.8911	LR: 0.100000
Training Epoch: 4 [7936/47500]	Loss: 0.8469	LR: 0.100000
Training Epoch: 4 [8192/47500]	Loss: 0.8412	LR: 0.100000
Training Epoch: 4 [8448/47500]	Loss: 0.7001	LR: 0.100000
Training Epoch: 4 [8704/47500]	Loss: 0.8892	LR: 0.100000
Training Epoch: 4 [8960/47500]	Loss: 0.8587	LR: 0.100000
Training Epoch: 4 [9216/47500]	Loss: 0.8271	LR: 0.100000
Training Epoch: 4 [9472/47500]	Loss: 0.8280	LR: 0.100000
Training Epoch: 4 [9728/47500]	Loss: 0.8391	LR: 0.100000
Training Epoch: 4 [9984/47500]	Loss: 0.9359	LR: 0.100000
Training Epoch: 4 [10240/47500]	Loss: 0.7823	LR: 0.100000
Training Epoch: 4 [10496/47500]	Loss: 0.8264	LR: 0.100000
Training Epoch: 4 [10752/47500]	Loss: 0.7672	LR: 0.100000
Training Epoch: 4 [11008/47500]	Loss: 0.8293	LR: 0.100000
Training Epoch: 4 [11264/47500]	Loss: 0.6900	LR: 0.100000
Training Epoch: 4 [11520/47500]	Loss: 0.6835	LR: 0.100000
Training Epoch: 4 [11776/47500]	Loss: 0.8571	LR: 0.100000
Training Epoch: 4 [12032/47500]	Loss: 0.8409	LR: 0.100000
Training Epoch: 4 [12288/47500]	Loss: 0.8148	LR: 0.100000
Training Epoch: 4 [12544/47500]	Loss: 0.8229	LR: 0.100000
Training Epoch: 4 [12800/47500]	Loss: 0.7485	LR: 0.100000
Training Epoch: 4 [13056/47500]	Loss: 0.8242	LR: 0.100000
Training Epoch: 4 [13312/47500]	Loss: 0.8190	LR: 0.100000
Training Epoch: 4 [13568/47500]	Loss: 0.8037	LR: 0.100000
Training Epoch: 4 [13824/47500]	Loss: 0.9084	LR: 0.100000
Training Epoch: 4 [14080/47500]	Loss: 0.8139	LR: 0.100000
Training Epoch: 4 [14336/47500]	Loss: 0.7818	LR: 0.100000
Training Epoch: 4 [14592/47500]	Loss: 0.7722	LR: 0.100000
Training Epoch: 4 [14848/47500]	Loss: 0.8806	LR: 0.100000
Training Epoch: 4 [15104/47500]	Loss: 0.8666	LR: 0.100000
Training Epoch: 4 [15360/47500]	Loss: 0.7840	LR: 0.100000
Training Epoch: 4 [15616/47500]	Loss: 0.8670	LR: 0.100000
Training Epoch: 4 [15872/47500]	Loss: 0.9507	LR: 0.100000
Training Epoch: 4 [16128/47500]	Loss: 0.8694	LR: 0.100000
Training Epoch: 4 [16384/47500]	Loss: 0.7691	LR: 0.100000
Training Epoch: 4 [16640/47500]	Loss: 0.9324	LR: 0.100000
Training Epoch: 4 [16896/47500]	Loss: 0.7558	LR: 0.100000
Training Epoch: 4 [17152/47500]	Loss: 0.8681	LR: 0.100000
Training Epoch: 4 [17408/47500]	Loss: 0.8322	LR: 0.100000
Training Epoch: 4 [17664/47500]	Loss: 0.8123	LR: 0.100000
Training Epoch: 4 [17920/47500]	Loss: 0.7951	LR: 0.100000
Training Epoch: 4 [18176/47500]	Loss: 0.7605	LR: 0.100000
Training Epoch: 4 [18432/47500]	Loss: 0.8816	LR: 0.100000
Training Epoch: 4 [18688/47500]	Loss: 0.9420	LR: 0.100000
Training Epoch: 4 [18944/47500]	Loss: 0.7779	LR: 0.100000
Training Epoch: 4 [19200/47500]	Loss: 0.7128	LR: 0.100000
Training Epoch: 4 [19456/47500]	Loss: 0.7606	LR: 0.100000
Training Epoch: 4 [19712/47500]	Loss: 0.7336	LR: 0.100000
Training Epoch: 4 [19968/47500]	Loss: 0.7771	LR: 0.100000
Training Epoch: 4 [20224/47500]	Loss: 0.7888	LR: 0.100000
Training Epoch: 4 [20480/47500]	Loss: 0.7113	LR: 0.100000
Training Epoch: 4 [20736/47500]	Loss: 0.9434	LR: 0.100000
Training Epoch: 4 [20992/47500]	Loss: 0.9024	LR: 0.100000
Training Epoch: 4 [21248/47500]	Loss: 0.8027	LR: 0.100000
Training Epoch: 4 [21504/47500]	Loss: 0.7972	LR: 0.100000
Training Epoch: 4 [21760/47500]	Loss: 0.7350	LR: 0.100000
Training Epoch: 4 [22016/47500]	Loss: 0.8202	LR: 0.100000
Training Epoch: 4 [22272/47500]	Loss: 0.7793	LR: 0.100000
Training Epoch: 4 [22528/47500]	Loss: 0.7060	LR: 0.100000
Training Epoch: 4 [22784/47500]	Loss: 0.7830	LR: 0.100000
Training Epoch: 4 [23040/47500]	Loss: 0.8314	LR: 0.100000
Training Epoch: 4 [23296/47500]	Loss: 0.8029	LR: 0.100000
Training Epoch: 4 [23552/47500]	Loss: 0.7796	LR: 0.100000
Training Epoch: 4 [23808/47500]	Loss: 0.7347	LR: 0.100000
Training Epoch: 4 [24064/47500]	Loss: 0.8120	LR: 0.100000
Training Epoch: 4 [24320/47500]	Loss: 0.8108	LR: 0.100000
Training Epoch: 4 [24576/47500]	Loss: 0.8026	LR: 0.100000
Training Epoch: 4 [24832/47500]	Loss: 0.8721	LR: 0.100000
Training Epoch: 4 [25088/47500]	Loss: 0.7999	LR: 0.100000
Training Epoch: 4 [25344/47500]	Loss: 0.7374	LR: 0.100000
Training Epoch: 4 [25600/47500]	Loss: 0.8566	LR: 0.100000
Training Epoch: 4 [25856/47500]	Loss: 0.7465	LR: 0.100000
Training Epoch: 4 [26112/47500]	Loss: 0.8467	LR: 0.100000
Training Epoch: 4 [26368/47500]	Loss: 0.6637	LR: 0.100000
Training Epoch: 4 [26624/47500]	Loss: 0.7904	LR: 0.100000
Training Epoch: 4 [26880/47500]	Loss: 0.7511	LR: 0.100000
Training Epoch: 4 [27136/47500]	Loss: 0.8611	LR: 0.100000
Training Epoch: 4 [27392/47500]	Loss: 0.7739	LR: 0.100000
Training Epoch: 4 [27648/47500]	Loss: 0.7434	LR: 0.100000
Training Epoch: 4 [27904/47500]	Loss: 0.8750	LR: 0.100000
Training Epoch: 4 [28160/47500]	Loss: 0.8448	LR: 0.100000
Training Epoch: 4 [28416/47500]	Loss: 0.7122	LR: 0.100000
Training Epoch: 4 [28672/47500]	Loss: 0.7904	LR: 0.100000
Training Epoch: 4 [28928/47500]	Loss: 0.8034	LR: 0.100000
Training Epoch: 4 [29184/47500]	Loss: 0.8184	LR: 0.100000
Training Epoch: 4 [29440/47500]	Loss: 0.8838	LR: 0.100000
Training Epoch: 4 [29696/47500]	Loss: 0.8081	LR: 0.100000
Training Epoch: 4 [29952/47500]	Loss: 0.7581	LR: 0.100000
Training Epoch: 4 [30208/47500]	Loss: 0.7964	LR: 0.100000
Training Epoch: 4 [30464/47500]	Loss: 0.8438	LR: 0.100000
Training Epoch: 4 [30720/47500]	Loss: 0.8168	LR: 0.100000
Training Epoch: 4 [30976/47500]	Loss: 1.0140	LR: 0.100000
Training Epoch: 4 [31232/47500]	Loss: 0.7177	LR: 0.100000
Training Epoch: 4 [31488/47500]	Loss: 0.7369	LR: 0.100000
Training Epoch: 4 [31744/47500]	Loss: 0.7275	LR: 0.100000
Training Epoch: 4 [32000/47500]	Loss: 0.8465	LR: 0.100000
Training Epoch: 4 [32256/47500]	Loss: 0.7398	LR: 0.100000
Training Epoch: 4 [32512/47500]	Loss: 0.8526	LR: 0.100000
Training Epoch: 4 [32768/47500]	Loss: 0.8004	LR: 0.100000
Training Epoch: 4 [33024/47500]	Loss: 0.8346	LR: 0.100000
Training Epoch: 4 [33280/47500]	Loss: 0.8222	LR: 0.100000
Training Epoch: 4 [33536/47500]	Loss: 0.7117	LR: 0.100000
Training Epoch: 4 [33792/47500]	Loss: 0.6897	LR: 0.100000
Training Epoch: 4 [34048/47500]	Loss: 0.7347	LR: 0.100000
Training Epoch: 4 [34304/47500]	Loss: 0.6634	LR: 0.100000
Training Epoch: 4 [34560/47500]	Loss: 0.9300	LR: 0.100000
Training Epoch: 4 [34816/47500]	Loss: 0.6792	LR: 0.100000
Training Epoch: 4 [35072/47500]	Loss: 0.8005	LR: 0.100000
Training Epoch: 4 [35328/47500]	Loss: 0.7533	LR: 0.100000
Training Epoch: 4 [35584/47500]	Loss: 0.8218	LR: 0.100000
Training Epoch: 4 [35840/47500]	Loss: 0.7452	LR: 0.100000
Training Epoch: 4 [36096/47500]	Loss: 0.8240	LR: 0.100000
Training Epoch: 4 [36352/47500]	Loss: 0.7478	LR: 0.100000
Training Epoch: 4 [36608/47500]	Loss: 0.7865	LR: 0.100000
Training Epoch: 4 [36864/47500]	Loss: 0.7007	LR: 0.100000
Training Epoch: 4 [37120/47500]	Loss: 0.7082	LR: 0.100000
Training Epoch: 4 [37376/47500]	Loss: 0.7659	LR: 0.100000
Training Epoch: 4 [37632/47500]	Loss: 0.7692	LR: 0.100000
Training Epoch: 4 [37888/47500]	Loss: 0.7269	LR: 0.100000
Training Epoch: 4 [38144/47500]	Loss: 0.8380	LR: 0.100000
Training Epoch: 4 [38400/47500]	Loss: 0.7638	LR: 0.100000
Training Epoch: 4 [38656/47500]	Loss: 0.8027	LR: 0.100000
Training Epoch: 4 [38912/47500]	Loss: 0.8667	LR: 0.100000
Training Epoch: 4 [39168/47500]	Loss: 0.8570	LR: 0.100000
Training Epoch: 4 [39424/47500]	Loss: 0.6770	LR: 0.100000
Training Epoch: 4 [39680/47500]	Loss: 0.8177	LR: 0.100000
Training Epoch: 4 [39936/47500]	Loss: 0.7520	LR: 0.100000
Training Epoch: 4 [40192/47500]	Loss: 0.8175	LR: 0.100000
Training Epoch: 4 [40448/47500]	Loss: 0.9593	LR: 0.100000
Training Epoch: 4 [40704/47500]	Loss: 0.8247	LR: 0.100000
Training Epoch: 4 [40960/47500]	Loss: 0.8010	LR: 0.100000
Training Epoch: 4 [41216/47500]	Loss: 0.7479	LR: 0.100000
Training Epoch: 4 [41472/47500]	Loss: 0.7602	LR: 0.100000
Training Epoch: 4 [41728/47500]	Loss: 0.7089	LR: 0.100000
Training Epoch: 4 [41984/47500]	Loss: 0.8259	LR: 0.100000
Training Epoch: 4 [42240/47500]	Loss: 0.7449	LR: 0.100000
Training Epoch: 4 [42496/47500]	Loss: 0.7970	LR: 0.100000
Training Epoch: 4 [42752/47500]	Loss: 0.7050	LR: 0.100000
Training Epoch: 4 [43008/47500]	Loss: 0.7607	LR: 0.100000
Training Epoch: 4 [43264/47500]	Loss: 0.7675	LR: 0.100000
Training Epoch: 4 [43520/47500]	Loss: 0.7349	LR: 0.100000
Training Epoch: 4 [43776/47500]	Loss: 0.7020	LR: 0.100000
Training Epoch: 4 [44032/47500]	Loss: 0.8410	LR: 0.100000
Training Epoch: 4 [44288/47500]	Loss: 0.7122	LR: 0.100000
Training Epoch: 4 [44544/47500]	Loss: 0.7855	LR: 0.100000
Training Epoch: 4 [44800/47500]	Loss: 0.8884	LR: 0.100000
Training Epoch: 4 [45056/47500]	Loss: 0.7451	LR: 0.100000
Training Epoch: 4 [45312/47500]	Loss: 0.8861	LR: 0.100000
Training Epoch: 4 [45568/47500]	Loss: 0.7190	LR: 0.100000
Training Epoch: 4 [45824/47500]	Loss: 0.8624	LR: 0.100000
Training Epoch: 4 [46080/47500]	Loss: 0.7522	LR: 0.100000
Training Epoch: 4 [46336/47500]	Loss: 0.8263	LR: 0.100000
Training Epoch: 4 [46592/47500]	Loss: 0.8345	LR: 0.100000
Training Epoch: 4 [46848/47500]	Loss: 0.8386	LR: 0.100000
Training Epoch: 4 [47104/47500]	Loss: 0.7248	LR: 0.100000
Training Epoch: 4 [47360/47500]	Loss: 0.7682	LR: 0.100000
Training Epoch: 4 [47500/47500]	Loss: 0.9045	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8031, Train Accuracy: 0.7196
Epoch 4 training time consumed: 28.66s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0031, Accuracy: 0.7333, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 0.6997	LR: 0.100000
Training Epoch: 5 [512/47500]	Loss: 0.7663	LR: 0.100000
Training Epoch: 5 [768/47500]	Loss: 0.6359	LR: 0.100000
Training Epoch: 5 [1024/47500]	Loss: 0.8228	LR: 0.100000
Training Epoch: 5 [1280/47500]	Loss: 0.6927	LR: 0.100000
Training Epoch: 5 [1536/47500]	Loss: 0.6929	LR: 0.100000
Training Epoch: 5 [1792/47500]	Loss: 0.7044	LR: 0.100000
Training Epoch: 5 [2048/47500]	Loss: 0.8167	LR: 0.100000
Training Epoch: 5 [2304/47500]	Loss: 0.7805	LR: 0.100000
Training Epoch: 5 [2560/47500]	Loss: 0.8185	LR: 0.100000
Training Epoch: 5 [2816/47500]	Loss: 0.7310	LR: 0.100000
Training Epoch: 5 [3072/47500]	Loss: 0.6421	LR: 0.100000
Training Epoch: 5 [3328/47500]	Loss: 0.7267	LR: 0.100000
Training Epoch: 5 [3584/47500]	Loss: 0.6769	LR: 0.100000
Training Epoch: 5 [3840/47500]	Loss: 0.7523	LR: 0.100000
Training Epoch: 5 [4096/47500]	Loss: 0.6918	LR: 0.100000
Training Epoch: 5 [4352/47500]	Loss: 0.7780	LR: 0.100000
Training Epoch: 5 [4608/47500]	Loss: 0.6281	LR: 0.100000
Training Epoch: 5 [4864/47500]	Loss: 0.7669	LR: 0.100000
Training Epoch: 5 [5120/47500]	Loss: 0.7125	LR: 0.100000
Training Epoch: 5 [5376/47500]	Loss: 0.8173	LR: 0.100000
Training Epoch: 5 [5632/47500]	Loss: 0.7220	LR: 0.100000
Training Epoch: 5 [5888/47500]	Loss: 0.6261	LR: 0.100000
Training Epoch: 5 [6144/47500]	Loss: 0.7396	LR: 0.100000
Training Epoch: 5 [6400/47500]	Loss: 0.6868	LR: 0.100000
Training Epoch: 5 [6656/47500]	Loss: 0.7422	LR: 0.100000
Training Epoch: 5 [6912/47500]	Loss: 0.7913	LR: 0.100000
Training Epoch: 5 [7168/47500]	Loss: 0.7283	LR: 0.100000
Training Epoch: 5 [7424/47500]	Loss: 0.7122	LR: 0.100000
Training Epoch: 5 [7680/47500]	Loss: 0.7622	LR: 0.100000
Training Epoch: 5 [7936/47500]	Loss: 0.8033	LR: 0.100000
Training Epoch: 5 [8192/47500]	Loss: 0.7139	LR: 0.100000
Training Epoch: 5 [8448/47500]	Loss: 0.7727	LR: 0.100000
Training Epoch: 5 [8704/47500]	Loss: 0.7533	LR: 0.100000
Training Epoch: 5 [8960/47500]	Loss: 0.7055	LR: 0.100000
Training Epoch: 5 [9216/47500]	Loss: 0.7128	LR: 0.100000
Training Epoch: 5 [9472/47500]	Loss: 0.7555	LR: 0.100000
Training Epoch: 5 [9728/47500]	Loss: 0.8193	LR: 0.100000
Training Epoch: 5 [9984/47500]	Loss: 0.7023	LR: 0.100000
Training Epoch: 5 [10240/47500]	Loss: 0.6840	LR: 0.100000
Training Epoch: 5 [10496/47500]	Loss: 0.6838	LR: 0.100000
Training Epoch: 5 [10752/47500]	Loss: 0.9484	LR: 0.100000
Training Epoch: 5 [11008/47500]	Loss: 0.7677	LR: 0.100000
Training Epoch: 5 [11264/47500]	Loss: 0.6693	LR: 0.100000
Training Epoch: 5 [11520/47500]	Loss: 0.6498	LR: 0.100000
Training Epoch: 5 [11776/47500]	Loss: 0.6724	LR: 0.100000
Training Epoch: 5 [12032/47500]	Loss: 0.6990	LR: 0.100000
Training Epoch: 5 [12288/47500]	Loss: 0.8610	LR: 0.100000
Training Epoch: 5 [12544/47500]	Loss: 0.7234	LR: 0.100000
Training Epoch: 5 [12800/47500]	Loss: 0.6349	LR: 0.100000
Training Epoch: 5 [13056/47500]	Loss: 0.8147	LR: 0.100000
Training Epoch: 5 [13312/47500]	Loss: 0.6829	LR: 0.100000
Training Epoch: 5 [13568/47500]	Loss: 0.6953	LR: 0.100000
Training Epoch: 5 [13824/47500]	Loss: 0.7910	LR: 0.100000
Training Epoch: 5 [14080/47500]	Loss: 0.7538	LR: 0.100000
Training Epoch: 5 [14336/47500]	Loss: 0.6870	LR: 0.100000
Training Epoch: 5 [14592/47500]	Loss: 0.7354	LR: 0.100000
Training Epoch: 5 [14848/47500]	Loss: 0.8397	LR: 0.100000
Training Epoch: 5 [15104/47500]	Loss: 0.7018	LR: 0.100000
Training Epoch: 5 [15360/47500]	Loss: 0.6968	LR: 0.100000
Training Epoch: 5 [15616/47500]	Loss: 0.7444	LR: 0.100000
Training Epoch: 5 [15872/47500]	Loss: 0.6827	LR: 0.100000
Training Epoch: 5 [16128/47500]	Loss: 0.7198	LR: 0.100000
Training Epoch: 5 [16384/47500]	Loss: 0.7402	LR: 0.100000
Training Epoch: 5 [16640/47500]	Loss: 0.6778	LR: 0.100000
Training Epoch: 5 [16896/47500]	Loss: 0.6967	LR: 0.100000
Training Epoch: 5 [17152/47500]	Loss: 0.7371	LR: 0.100000
Training Epoch: 5 [17408/47500]	Loss: 0.6080	LR: 0.100000
Training Epoch: 5 [17664/47500]	Loss: 0.6623	LR: 0.100000
Training Epoch: 5 [17920/47500]	Loss: 0.6488	LR: 0.100000
Training Epoch: 5 [18176/47500]	Loss: 0.6318	LR: 0.100000
Training Epoch: 5 [18432/47500]	Loss: 0.6932	LR: 0.100000
Training Epoch: 5 [18688/47500]	Loss: 0.6656	LR: 0.100000
Training Epoch: 5 [18944/47500]	Loss: 0.6287	LR: 0.100000
Training Epoch: 5 [19200/47500]	Loss: 0.6759	LR: 0.100000
Training Epoch: 5 [19456/47500]	Loss: 0.7037	LR: 0.100000
Training Epoch: 5 [19712/47500]	Loss: 0.6924	LR: 0.100000
Training Epoch: 5 [19968/47500]	Loss: 0.6709	LR: 0.100000
Training Epoch: 5 [20224/47500]	Loss: 0.7479	LR: 0.100000
Training Epoch: 5 [20480/47500]	Loss: 0.6776	LR: 0.100000
Training Epoch: 5 [20736/47500]	Loss: 0.6567	LR: 0.100000
Training Epoch: 5 [20992/47500]	Loss: 0.7320	LR: 0.100000
Training Epoch: 5 [21248/47500]	Loss: 0.7700	LR: 0.100000
Training Epoch: 5 [21504/47500]	Loss: 0.7637	LR: 0.100000
Training Epoch: 5 [21760/47500]	Loss: 0.7807	LR: 0.100000
Training Epoch: 5 [22016/47500]	Loss: 0.7187	LR: 0.100000
Training Epoch: 5 [22272/47500]	Loss: 0.6960	LR: 0.100000
Training Epoch: 5 [22528/47500]	Loss: 0.7825	LR: 0.100000
Training Epoch: 5 [22784/47500]	Loss: 0.7809	LR: 0.100000
Training Epoch: 5 [23040/47500]	Loss: 0.7093	LR: 0.100000
Training Epoch: 5 [23296/47500]	Loss: 0.7393	LR: 0.100000
Training Epoch: 5 [23552/47500]	Loss: 0.8231	LR: 0.100000
Training Epoch: 5 [23808/47500]	Loss: 0.8106	LR: 0.100000
Training Epoch: 5 [24064/47500]	Loss: 0.7033	LR: 0.100000
Training Epoch: 5 [24320/47500]	Loss: 0.7283	LR: 0.100000
Training Epoch: 5 [24576/47500]	Loss: 0.7848	LR: 0.100000
Training Epoch: 5 [24832/47500]	Loss: 0.7546	LR: 0.100000
Training Epoch: 5 [25088/47500]	Loss: 0.7527	LR: 0.100000
Training Epoch: 5 [25344/47500]	Loss: 0.6584	LR: 0.100000
Training Epoch: 5 [25600/47500]	Loss: 0.7817	LR: 0.100000
Training Epoch: 5 [25856/47500]	Loss: 0.7554	LR: 0.100000
Training Epoch: 5 [26112/47500]	Loss: 0.7599	LR: 0.100000
Training Epoch: 5 [26368/47500]	Loss: 0.6360	LR: 0.100000
Training Epoch: 5 [26624/47500]	Loss: 0.7481	LR: 0.100000
Training Epoch: 5 [26880/47500]	Loss: 0.7570	LR: 0.100000
Training Epoch: 5 [27136/47500]	Loss: 0.7781	LR: 0.100000
Training Epoch: 5 [27392/47500]	Loss: 0.7785	LR: 0.100000
Training Epoch: 5 [27648/47500]	Loss: 0.7412	LR: 0.100000
Training Epoch: 5 [27904/47500]	Loss: 0.6593	LR: 0.100000
Training Epoch: 5 [28160/47500]	Loss: 0.8144	LR: 0.100000
Training Epoch: 5 [28416/47500]	Loss: 0.8460	LR: 0.100000
Training Epoch: 5 [28672/47500]	Loss: 0.7134	LR: 0.100000
Training Epoch: 5 [28928/47500]	Loss: 0.6852	LR: 0.100000
Training Epoch: 5 [29184/47500]	Loss: 0.6579	LR: 0.100000
Training Epoch: 5 [29440/47500]	Loss: 0.6610	LR: 0.100000
Training Epoch: 5 [29696/47500]	Loss: 0.6152	LR: 0.100000
Training Epoch: 5 [29952/47500]	Loss: 0.7897	LR: 0.100000
Training Epoch: 5 [30208/47500]	Loss: 0.7555	LR: 0.100000
Training Epoch: 5 [30464/47500]	Loss: 0.7764	LR: 0.100000
Training Epoch: 5 [30720/47500]	Loss: 0.7458	LR: 0.100000
Training Epoch: 5 [30976/47500]	Loss: 0.7310	LR: 0.100000
Training Epoch: 5 [31232/47500]	Loss: 0.6894	LR: 0.100000
Training Epoch: 5 [31488/47500]	Loss: 0.7756	LR: 0.100000
Training Epoch: 5 [31744/47500]	Loss: 0.6415	LR: 0.100000
Training Epoch: 5 [32000/47500]	Loss: 0.8651	LR: 0.100000
Training Epoch: 5 [32256/47500]	Loss: 0.9118	LR: 0.100000
Training Epoch: 5 [32512/47500]	Loss: 0.6277	LR: 0.100000
Training Epoch: 5 [32768/47500]	Loss: 0.7674	LR: 0.100000
Training Epoch: 5 [33024/47500]	Loss: 0.6199	LR: 0.100000
Training Epoch: 5 [33280/47500]	Loss: 0.6752	LR: 0.100000
Training Epoch: 5 [33536/47500]	Loss: 0.5900	LR: 0.100000
Training Epoch: 5 [33792/47500]	Loss: 0.6836	LR: 0.100000
Training Epoch: 5 [34048/47500]	Loss: 0.6242	LR: 0.100000
Training Epoch: 5 [34304/47500]	Loss: 0.6169	LR: 0.100000
Training Epoch: 5 [34560/47500]	Loss: 0.6023	LR: 0.100000
Training Epoch: 5 [34816/47500]	Loss: 0.6872	LR: 0.100000
Training Epoch: 5 [35072/47500]	Loss: 0.6189	LR: 0.100000
Training Epoch: 5 [35328/47500]	Loss: 0.7023	LR: 0.100000
Training Epoch: 5 [35584/47500]	Loss: 0.6712	LR: 0.100000
Training Epoch: 5 [35840/47500]	Loss: 0.6623	LR: 0.100000
Training Epoch: 5 [36096/47500]	Loss: 0.7312	LR: 0.100000
Training Epoch: 5 [36352/47500]	Loss: 0.6307	LR: 0.100000
Training Epoch: 5 [36608/47500]	Loss: 0.6389	LR: 0.100000
Training Epoch: 5 [36864/47500]	Loss: 0.7734	LR: 0.100000
Training Epoch: 5 [37120/47500]	Loss: 0.7150	LR: 0.100000
Training Epoch: 5 [37376/47500]	Loss: 0.6906	LR: 0.100000
Training Epoch: 5 [37632/47500]	Loss: 0.7746	LR: 0.100000
Training Epoch: 5 [37888/47500]	Loss: 0.7459	LR: 0.100000
Training Epoch: 5 [38144/47500]	Loss: 0.7861	LR: 0.100000
Training Epoch: 5 [38400/47500]	Loss: 0.7156	LR: 0.100000
Training Epoch: 5 [38656/47500]	Loss: 0.6634	LR: 0.100000
Training Epoch: 5 [38912/47500]	Loss: 0.6813	LR: 0.100000
Training Epoch: 5 [39168/47500]	Loss: 0.7434	LR: 0.100000
Training Epoch: 5 [39424/47500]	Loss: 0.7108	LR: 0.100000
Training Epoch: 5 [39680/47500]	Loss: 0.8061	LR: 0.100000
Training Epoch: 5 [39936/47500]	Loss: 0.6570	LR: 0.100000
Training Epoch: 5 [40192/47500]	Loss: 0.7597	LR: 0.100000
Training Epoch: 5 [40448/47500]	Loss: 0.6333	LR: 0.100000
Training Epoch: 5 [40704/47500]	Loss: 0.6629	LR: 0.100000
Training Epoch: 5 [40960/47500]	Loss: 0.7612	LR: 0.100000
Training Epoch: 5 [41216/47500]	Loss: 0.6187	LR: 0.100000
Training Epoch: 5 [41472/47500]	Loss: 0.7745	LR: 0.100000
Training Epoch: 5 [41728/47500]	Loss: 0.6763	LR: 0.100000
Training Epoch: 5 [41984/47500]	Loss: 0.6670	LR: 0.100000
Training Epoch: 5 [42240/47500]	Loss: 0.7916	LR: 0.100000
Training Epoch: 5 [42496/47500]	Loss: 0.6617	LR: 0.100000
Training Epoch: 5 [42752/47500]	Loss: 0.6767	LR: 0.100000
Training Epoch: 5 [43008/47500]	Loss: 0.6939	LR: 0.100000
Training Epoch: 5 [43264/47500]	Loss: 0.8129	LR: 0.100000
Training Epoch: 5 [43520/47500]	Loss: 0.6936	LR: 0.100000
Training Epoch: 5 [43776/47500]	Loss: 0.6539	LR: 0.100000
Training Epoch: 5 [44032/47500]	Loss: 0.7503	LR: 0.100000
Training Epoch: 5 [44288/47500]	Loss: 0.6930	LR: 0.100000
Training Epoch: 5 [44544/47500]	Loss: 0.7240	LR: 0.100000
Training Epoch: 5 [44800/47500]	Loss: 0.7475	LR: 0.100000
Training Epoch: 5 [45056/47500]	Loss: 0.6500	LR: 0.100000
Training Epoch: 5 [45312/47500]	Loss: 0.7066	LR: 0.100000
Training Epoch: 5 [45568/47500]	Loss: 0.6846	LR: 0.100000
Training Epoch: 5 [45824/47500]	Loss: 0.6173	LR: 0.100000
Training Epoch: 5 [46080/47500]	Loss: 0.6042	LR: 0.100000
Training Epoch: 5 [46336/47500]	Loss: 0.6638	LR: 0.100000
Training Epoch: 5 [46592/47500]	Loss: 0.6055	LR: 0.100000
Training Epoch: 5 [46848/47500]	Loss: 0.7595	LR: 0.100000
Training Epoch: 5 [47104/47500]	Loss: 0.7534	LR: 0.100000
Training Epoch: 5 [47360/47500]	Loss: 0.7261	LR: 0.100000
Training Epoch: 5 [47500/47500]	Loss: 0.8509	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7180, Train Accuracy: 0.7486
Epoch 5 training time consumed: 28.68s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0032, Accuracy: 0.7368, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-5-best.pth
Training Epoch: 6 [256/47500]	Loss: 0.8403	LR: 0.100000
Training Epoch: 6 [512/47500]	Loss: 0.6086	LR: 0.100000
Training Epoch: 6 [768/47500]	Loss: 0.6074	LR: 0.100000
Training Epoch: 6 [1024/47500]	Loss: 0.7273	LR: 0.100000
Training Epoch: 6 [1280/47500]	Loss: 0.6394	LR: 0.100000
Training Epoch: 6 [1536/47500]	Loss: 0.6804	LR: 0.100000
Training Epoch: 6 [1792/47500]	Loss: 0.8320	LR: 0.100000
Training Epoch: 6 [2048/47500]	Loss: 0.6012	LR: 0.100000
Training Epoch: 6 [2304/47500]	Loss: 0.7328	LR: 0.100000
Training Epoch: 6 [2560/47500]	Loss: 0.7431	LR: 0.100000
Training Epoch: 6 [2816/47500]	Loss: 0.6566	LR: 0.100000
Training Epoch: 6 [3072/47500]	Loss: 0.6757	LR: 0.100000
Training Epoch: 6 [3328/47500]	Loss: 0.7228	LR: 0.100000
Training Epoch: 6 [3584/47500]	Loss: 0.7067	LR: 0.100000
Training Epoch: 6 [3840/47500]	Loss: 0.5999	LR: 0.100000
Training Epoch: 6 [4096/47500]	Loss: 0.5770	LR: 0.100000
Training Epoch: 6 [4352/47500]	Loss: 0.5973	LR: 0.100000
Training Epoch: 6 [4608/47500]	Loss: 0.6344	LR: 0.100000
Training Epoch: 6 [4864/47500]	Loss: 0.6482	LR: 0.100000
Training Epoch: 6 [5120/47500]	Loss: 0.5834	LR: 0.100000
Training Epoch: 6 [5376/47500]	Loss: 0.5923	LR: 0.100000
Training Epoch: 6 [5632/47500]	Loss: 0.6196	LR: 0.100000
Training Epoch: 6 [5888/47500]	Loss: 0.7295	LR: 0.100000
Training Epoch: 6 [6144/47500]	Loss: 0.6372	LR: 0.100000
Training Epoch: 6 [6400/47500]	Loss: 0.6280	LR: 0.100000
Training Epoch: 6 [6656/47500]	Loss: 0.6562	LR: 0.100000
Training Epoch: 6 [6912/47500]	Loss: 0.5388	LR: 0.100000
Training Epoch: 6 [7168/47500]	Loss: 0.6552	LR: 0.100000
Training Epoch: 6 [7424/47500]	Loss: 0.6961	LR: 0.100000
Training Epoch: 6 [7680/47500]	Loss: 0.6283	LR: 0.100000
Training Epoch: 6 [7936/47500]	Loss: 0.6325	LR: 0.100000
Training Epoch: 6 [8192/47500]	Loss: 0.6353	LR: 0.100000
Training Epoch: 6 [8448/47500]	Loss: 0.6127	LR: 0.100000
Training Epoch: 6 [8704/47500]	Loss: 0.6465	LR: 0.100000
Training Epoch: 6 [8960/47500]	Loss: 0.5326	LR: 0.100000
Training Epoch: 6 [9216/47500]	Loss: 0.5580	LR: 0.100000
Training Epoch: 6 [9472/47500]	Loss: 0.6738	LR: 0.100000
Training Epoch: 6 [9728/47500]	Loss: 0.7150	LR: 0.100000
Training Epoch: 6 [9984/47500]	Loss: 0.7273	LR: 0.100000
Training Epoch: 6 [10240/47500]	Loss: 0.6734	LR: 0.100000
Training Epoch: 6 [10496/47500]	Loss: 0.6584	LR: 0.100000
Training Epoch: 6 [10752/47500]	Loss: 0.6353	LR: 0.100000
Training Epoch: 6 [11008/47500]	Loss: 0.8153	LR: 0.100000
Training Epoch: 6 [11264/47500]	Loss: 0.6384	LR: 0.100000
Training Epoch: 6 [11520/47500]	Loss: 0.6680	LR: 0.100000
Training Epoch: 6 [11776/47500]	Loss: 0.5763	LR: 0.100000
Training Epoch: 6 [12032/47500]	Loss: 0.5912	LR: 0.100000
Training Epoch: 6 [12288/47500]	Loss: 0.7024	LR: 0.100000
Training Epoch: 6 [12544/47500]	Loss: 0.7027	LR: 0.100000
Training Epoch: 6 [12800/47500]	Loss: 0.8216	LR: 0.100000
Training Epoch: 6 [13056/47500]	Loss: 0.6585	LR: 0.100000
Training Epoch: 6 [13312/47500]	Loss: 0.6960	LR: 0.100000
Training Epoch: 6 [13568/47500]	Loss: 0.6459	LR: 0.100000
Training Epoch: 6 [13824/47500]	Loss: 0.7531	LR: 0.100000
Training Epoch: 6 [14080/47500]	Loss: 0.7049	LR: 0.100000
Training Epoch: 6 [14336/47500]	Loss: 0.5841	LR: 0.100000
Training Epoch: 6 [14592/47500]	Loss: 0.6899	LR: 0.100000
Training Epoch: 6 [14848/47500]	Loss: 0.6526	LR: 0.100000
Training Epoch: 6 [15104/47500]	Loss: 0.5722	LR: 0.100000
Training Epoch: 6 [15360/47500]	Loss: 0.5929	LR: 0.100000
Training Epoch: 6 [15616/47500]	Loss: 0.6970	LR: 0.100000
Training Epoch: 6 [15872/47500]	Loss: 0.6791	LR: 0.100000
Training Epoch: 6 [16128/47500]	Loss: 0.7216	LR: 0.100000
Training Epoch: 6 [16384/47500]	Loss: 0.5390	LR: 0.100000
Training Epoch: 6 [16640/47500]	Loss: 0.6718	LR: 0.100000
Training Epoch: 6 [16896/47500]	Loss: 0.5580	LR: 0.100000
Training Epoch: 6 [17152/47500]	Loss: 0.6475	LR: 0.100000
Training Epoch: 6 [17408/47500]	Loss: 0.6394	LR: 0.100000
Training Epoch: 6 [17664/47500]	Loss: 0.5047	LR: 0.100000
Training Epoch: 6 [17920/47500]	Loss: 0.6141	LR: 0.100000
Training Epoch: 6 [18176/47500]	Loss: 0.6423	LR: 0.100000
Training Epoch: 6 [18432/47500]	Loss: 0.6706	LR: 0.100000
Training Epoch: 6 [18688/47500]	Loss: 0.5891	LR: 0.100000
Training Epoch: 6 [18944/47500]	Loss: 0.6404	LR: 0.100000
Training Epoch: 6 [19200/47500]	Loss: 0.6567	LR: 0.100000
Training Epoch: 6 [19456/47500]	Loss: 0.5795	LR: 0.100000
Training Epoch: 6 [19712/47500]	Loss: 0.5757	LR: 0.100000
Training Epoch: 6 [19968/47500]	Loss: 0.6275	LR: 0.100000
Training Epoch: 6 [20224/47500]	Loss: 0.6805	LR: 0.100000
Training Epoch: 6 [20480/47500]	Loss: 0.6199	LR: 0.100000
Training Epoch: 6 [20736/47500]	Loss: 0.7766	LR: 0.100000
Training Epoch: 6 [20992/47500]	Loss: 0.5605	LR: 0.100000
Training Epoch: 6 [21248/47500]	Loss: 0.7231	LR: 0.100000
Training Epoch: 6 [21504/47500]	Loss: 0.6604	LR: 0.100000
Training Epoch: 6 [21760/47500]	Loss: 0.6813	LR: 0.100000
Training Epoch: 6 [22016/47500]	Loss: 0.6407	LR: 0.100000
Training Epoch: 6 [22272/47500]	Loss: 0.6610	LR: 0.100000
Training Epoch: 6 [22528/47500]	Loss: 0.7082	LR: 0.100000
Training Epoch: 6 [22784/47500]	Loss: 0.6882	LR: 0.100000
Training Epoch: 6 [23040/47500]	Loss: 0.6919	LR: 0.100000
Training Epoch: 6 [23296/47500]	Loss: 0.6338	LR: 0.100000
Training Epoch: 6 [23552/47500]	Loss: 0.5958	LR: 0.100000
Training Epoch: 6 [23808/47500]	Loss: 0.6190	LR: 0.100000
Training Epoch: 6 [24064/47500]	Loss: 0.5764	LR: 0.100000
Training Epoch: 6 [24320/47500]	Loss: 0.6432	LR: 0.100000
Training Epoch: 6 [24576/47500]	Loss: 0.6045	LR: 0.100000
Training Epoch: 6 [24832/47500]	Loss: 0.7166	LR: 0.100000
Training Epoch: 6 [25088/47500]	Loss: 0.5540	LR: 0.100000
Training Epoch: 6 [25344/47500]	Loss: 0.5487	LR: 0.100000
Training Epoch: 6 [25600/47500]	Loss: 0.6956	LR: 0.100000
Training Epoch: 6 [25856/47500]	Loss: 0.7469	LR: 0.100000
Training Epoch: 6 [26112/47500]	Loss: 0.7091	LR: 0.100000
Training Epoch: 6 [26368/47500]	Loss: 0.6091	LR: 0.100000
Training Epoch: 6 [26624/47500]	Loss: 0.6145	LR: 0.100000
Training Epoch: 6 [26880/47500]	Loss: 0.6680	LR: 0.100000
Training Epoch: 6 [27136/47500]	Loss: 0.5649	LR: 0.100000
Training Epoch: 6 [27392/47500]	Loss: 0.5874	LR: 0.100000
Training Epoch: 6 [27648/47500]	Loss: 0.5609	LR: 0.100000
Training Epoch: 6 [27904/47500]	Loss: 0.7778	LR: 0.100000
Training Epoch: 6 [28160/47500]	Loss: 0.6430	LR: 0.100000
Training Epoch: 6 [28416/47500]	Loss: 0.5557	LR: 0.100000
Training Epoch: 6 [28672/47500]	Loss: 0.6186	LR: 0.100000
Training Epoch: 6 [28928/47500]	Loss: 0.5952	LR: 0.100000
Training Epoch: 6 [29184/47500]	Loss: 0.8084	LR: 0.100000
Training Epoch: 6 [29440/47500]	Loss: 0.6100	LR: 0.100000
Training Epoch: 6 [29696/47500]	Loss: 0.5646	LR: 0.100000
Training Epoch: 6 [29952/47500]	Loss: 0.6400	LR: 0.100000
Training Epoch: 6 [30208/47500]	Loss: 0.6443	LR: 0.100000
Training Epoch: 6 [30464/47500]	Loss: 0.7099	LR: 0.100000
Training Epoch: 6 [30720/47500]	Loss: 0.6491	LR: 0.100000
Training Epoch: 6 [30976/47500]	Loss: 0.6094	LR: 0.100000
Training Epoch: 6 [31232/47500]	Loss: 0.6038	LR: 0.100000
Training Epoch: 6 [31488/47500]	Loss: 0.6259	LR: 0.100000
Training Epoch: 6 [31744/47500]	Loss: 0.5947	LR: 0.100000
Training Epoch: 6 [32000/47500]	Loss: 0.6053	LR: 0.100000
Training Epoch: 6 [32256/47500]	Loss: 0.6971	LR: 0.100000
Training Epoch: 6 [32512/47500]	Loss: 0.7876	LR: 0.100000
Training Epoch: 6 [32768/47500]	Loss: 0.6698	LR: 0.100000
Training Epoch: 6 [33024/47500]	Loss: 0.5694	LR: 0.100000
Training Epoch: 6 [33280/47500]	Loss: 0.6053	LR: 0.100000
Training Epoch: 6 [33536/47500]	Loss: 0.6349	LR: 0.100000
Training Epoch: 6 [33792/47500]	Loss: 0.6362	LR: 0.100000
Training Epoch: 6 [34048/47500]	Loss: 0.7143	LR: 0.100000
Training Epoch: 6 [34304/47500]	Loss: 0.7977	LR: 0.100000
Training Epoch: 6 [34560/47500]	Loss: 0.6439	LR: 0.100000
Training Epoch: 6 [34816/47500]	Loss: 0.5743	LR: 0.100000
Training Epoch: 6 [35072/47500]	Loss: 0.7946	LR: 0.100000
Training Epoch: 6 [35328/47500]	Loss: 0.6582	LR: 0.100000
Training Epoch: 6 [35584/47500]	Loss: 0.5447	LR: 0.100000
Training Epoch: 6 [35840/47500]	Loss: 0.7146	LR: 0.100000
Training Epoch: 6 [36096/47500]	Loss: 0.6237	LR: 0.100000
Training Epoch: 6 [36352/47500]	Loss: 0.6713	LR: 0.100000
Training Epoch: 6 [36608/47500]	Loss: 0.6485	LR: 0.100000
Training Epoch: 6 [36864/47500]	Loss: 0.5068	LR: 0.100000
Training Epoch: 6 [37120/47500]	Loss: 0.5479	LR: 0.100000
Training Epoch: 6 [37376/47500]	Loss: 0.5685	LR: 0.100000
Training Epoch: 6 [37632/47500]	Loss: 0.6114	LR: 0.100000
Training Epoch: 6 [37888/47500]	Loss: 0.7308	LR: 0.100000
Training Epoch: 6 [38144/47500]	Loss: 0.7316	LR: 0.100000
Training Epoch: 6 [38400/47500]	Loss: 0.5540	LR: 0.100000
Training Epoch: 6 [38656/47500]	Loss: 0.6950	LR: 0.100000
Training Epoch: 6 [38912/47500]	Loss: 0.6243	LR: 0.100000
Training Epoch: 6 [39168/47500]	Loss: 0.5889	LR: 0.100000
Training Epoch: 6 [39424/47500]	Loss: 0.6030	LR: 0.100000
Training Epoch: 6 [39680/47500]	Loss: 0.6919	LR: 0.100000
Training Epoch: 6 [39936/47500]	Loss: 0.7614	LR: 0.100000
Training Epoch: 6 [40192/47500]	Loss: 0.6475	LR: 0.100000
Training Epoch: 6 [40448/47500]	Loss: 0.6199	LR: 0.100000
Training Epoch: 6 [40704/47500]	Loss: 0.5954	LR: 0.100000
Training Epoch: 6 [40960/47500]	Loss: 0.5724	LR: 0.100000
Training Epoch: 6 [41216/47500]	Loss: 0.5895	LR: 0.100000
Training Epoch: 6 [41472/47500]	Loss: 0.5718	LR: 0.100000
Training Epoch: 6 [41728/47500]	Loss: 0.6202	LR: 0.100000
Training Epoch: 6 [41984/47500]	Loss: 0.5619	LR: 0.100000
Training Epoch: 6 [42240/47500]	Loss: 0.6414	LR: 0.100000
Training Epoch: 6 [42496/47500]	Loss: 0.6323	LR: 0.100000
Training Epoch: 6 [42752/47500]	Loss: 0.5660	LR: 0.100000
Training Epoch: 6 [43008/47500]	Loss: 0.6193	LR: 0.100000
Training Epoch: 6 [43264/47500]	Loss: 0.7145	LR: 0.100000
Training Epoch: 6 [43520/47500]	Loss: 0.5581	LR: 0.100000
Training Epoch: 6 [43776/47500]	Loss: 0.5605	LR: 0.100000
Training Epoch: 6 [44032/47500]	Loss: 0.6172	LR: 0.100000
Training Epoch: 6 [44288/47500]	Loss: 0.6286	LR: 0.100000
Training Epoch: 6 [44544/47500]	Loss: 0.6750	LR: 0.100000
Training Epoch: 6 [44800/47500]	Loss: 0.5943	LR: 0.100000
Training Epoch: 6 [45056/47500]	Loss: 0.6322	LR: 0.100000
Training Epoch: 6 [45312/47500]	Loss: 0.6670	LR: 0.100000
Training Epoch: 6 [45568/47500]	Loss: 0.5333	LR: 0.100000
Training Epoch: 6 [45824/47500]	Loss: 0.5887	LR: 0.100000
Training Epoch: 6 [46080/47500]	Loss: 0.6488	LR: 0.100000
Training Epoch: 6 [46336/47500]	Loss: 0.6220	LR: 0.100000
Training Epoch: 6 [46592/47500]	Loss: 0.5734	LR: 0.100000
Training Epoch: 6 [46848/47500]	Loss: 0.6351	LR: 0.100000
Training Epoch: 6 [47104/47500]	Loss: 0.6259	LR: 0.100000
Training Epoch: 6 [47360/47500]	Loss: 0.6112	LR: 0.100000
Training Epoch: 6 [47500/47500]	Loss: 0.4264	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6423, Train Accuracy: 0.7752
Epoch 6 training time consumed: 29.04s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0026, Accuracy: 0.7781, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 0.6016	LR: 0.100000
Training Epoch: 7 [512/47500]	Loss: 0.5832	LR: 0.100000
Training Epoch: 7 [768/47500]	Loss: 0.5483	LR: 0.100000
Training Epoch: 7 [1024/47500]	Loss: 0.6603	LR: 0.100000
Training Epoch: 7 [1280/47500]	Loss: 0.7293	LR: 0.100000
Training Epoch: 7 [1536/47500]	Loss: 0.6258	LR: 0.100000
Training Epoch: 7 [1792/47500]	Loss: 0.5840	LR: 0.100000
Training Epoch: 7 [2048/47500]	Loss: 0.6743	LR: 0.100000
Training Epoch: 7 [2304/47500]	Loss: 0.5817	LR: 0.100000
Training Epoch: 7 [2560/47500]	Loss: 0.6806	LR: 0.100000
Training Epoch: 7 [2816/47500]	Loss: 0.6347	LR: 0.100000
Training Epoch: 7 [3072/47500]	Loss: 0.6145	LR: 0.100000
Training Epoch: 7 [3328/47500]	Loss: 0.6101	LR: 0.100000
Training Epoch: 7 [3584/47500]	Loss: 0.5299	LR: 0.100000
Training Epoch: 7 [3840/47500]	Loss: 0.7080	LR: 0.100000
Training Epoch: 7 [4096/47500]	Loss: 0.6052	LR: 0.100000
Training Epoch: 7 [4352/47500]	Loss: 0.5551	LR: 0.100000
Training Epoch: 7 [4608/47500]	Loss: 0.6160	LR: 0.100000
Training Epoch: 7 [4864/47500]	Loss: 0.6118	LR: 0.100000
Training Epoch: 7 [5120/47500]	Loss: 0.5886	LR: 0.100000
Training Epoch: 7 [5376/47500]	Loss: 0.5514	LR: 0.100000
Training Epoch: 7 [5632/47500]	Loss: 0.5182	LR: 0.100000
Training Epoch: 7 [5888/47500]	Loss: 0.7053	LR: 0.100000
Training Epoch: 7 [6144/47500]	Loss: 0.6505	LR: 0.100000
Training Epoch: 7 [6400/47500]	Loss: 0.5128	LR: 0.100000
Training Epoch: 7 [6656/47500]	Loss: 0.7109	LR: 0.100000
Training Epoch: 7 [6912/47500]	Loss: 0.5296	LR: 0.100000
Training Epoch: 7 [7168/47500]	Loss: 0.6815	LR: 0.100000
Training Epoch: 7 [7424/47500]	Loss: 0.6452	LR: 0.100000
Training Epoch: 7 [7680/47500]	Loss: 0.5047	LR: 0.100000
Training Epoch: 7 [7936/47500]	Loss: 0.6535	LR: 0.100000
Training Epoch: 7 [8192/47500]	Loss: 0.6810	LR: 0.100000
Training Epoch: 7 [8448/47500]	Loss: 0.5922	LR: 0.100000
Training Epoch: 7 [8704/47500]	Loss: 0.6224	LR: 0.100000
Training Epoch: 7 [8960/47500]	Loss: 0.5588	LR: 0.100000
Training Epoch: 7 [9216/47500]	Loss: 0.5639	LR: 0.100000
Training Epoch: 7 [9472/47500]	Loss: 0.5830	LR: 0.100000
Training Epoch: 7 [9728/47500]	Loss: 0.6874	LR: 0.100000
Training Epoch: 7 [9984/47500]	Loss: 0.6145	LR: 0.100000
Training Epoch: 7 [10240/47500]	Loss: 0.6550	LR: 0.100000
Training Epoch: 7 [10496/47500]	Loss: 0.5316	LR: 0.100000
Training Epoch: 7 [10752/47500]	Loss: 0.5362	LR: 0.100000
Training Epoch: 7 [11008/47500]	Loss: 0.6062	LR: 0.100000
Training Epoch: 7 [11264/47500]	Loss: 0.6266	LR: 0.100000
Training Epoch: 7 [11520/47500]	Loss: 0.6452	LR: 0.100000
Training Epoch: 7 [11776/47500]	Loss: 0.6665	LR: 0.100000
Training Epoch: 7 [12032/47500]	Loss: 0.5334	LR: 0.100000
Training Epoch: 7 [12288/47500]	Loss: 0.6567	LR: 0.100000
Training Epoch: 7 [12544/47500]	Loss: 0.6342	LR: 0.100000
Training Epoch: 7 [12800/47500]	Loss: 0.5659	LR: 0.100000
Training Epoch: 7 [13056/47500]	Loss: 0.6016	LR: 0.100000
Training Epoch: 7 [13312/47500]	Loss: 0.5792	LR: 0.100000
Training Epoch: 7 [13568/47500]	Loss: 0.5334	LR: 0.100000
Training Epoch: 7 [13824/47500]	Loss: 0.6039	LR: 0.100000
Training Epoch: 7 [14080/47500]	Loss: 0.6091	LR: 0.100000
Training Epoch: 7 [14336/47500]	Loss: 0.6233	LR: 0.100000
Training Epoch: 7 [14592/47500]	Loss: 0.4794	LR: 0.100000
Training Epoch: 7 [14848/47500]	Loss: 0.6397	LR: 0.100000
Training Epoch: 7 [15104/47500]	Loss: 0.5790	LR: 0.100000
Training Epoch: 7 [15360/47500]	Loss: 0.7019	LR: 0.100000
Training Epoch: 7 [15616/47500]	Loss: 0.6767	LR: 0.100000
Training Epoch: 7 [15872/47500]	Loss: 0.6332	LR: 0.100000
Training Epoch: 7 [16128/47500]	Loss: 0.6019	LR: 0.100000
Training Epoch: 7 [16384/47500]	Loss: 0.6252	LR: 0.100000
Training Epoch: 7 [16640/47500]	Loss: 0.5867	LR: 0.100000
Training Epoch: 7 [16896/47500]	Loss: 0.5040	LR: 0.100000
Training Epoch: 7 [17152/47500]	Loss: 0.6019	LR: 0.100000
Training Epoch: 7 [17408/47500]	Loss: 0.5832	LR: 0.100000
Training Epoch: 7 [17664/47500]	Loss: 0.4312	LR: 0.100000
Training Epoch: 7 [17920/47500]	Loss: 0.6654	LR: 0.100000
Training Epoch: 7 [18176/47500]	Loss: 0.4751	LR: 0.100000
Training Epoch: 7 [18432/47500]	Loss: 0.5940	LR: 0.100000
Training Epoch: 7 [18688/47500]	Loss: 0.5676	LR: 0.100000
Training Epoch: 7 [18944/47500]	Loss: 0.6255	LR: 0.100000
Training Epoch: 7 [19200/47500]	Loss: 0.6643	LR: 0.100000
Training Epoch: 7 [19456/47500]	Loss: 0.7292	LR: 0.100000
Training Epoch: 7 [19712/47500]	Loss: 0.5502	LR: 0.100000
Training Epoch: 7 [19968/47500]	Loss: 0.5808	LR: 0.100000
Training Epoch: 7 [20224/47500]	Loss: 0.6270	LR: 0.100000
Training Epoch: 7 [20480/47500]	Loss: 0.5767	LR: 0.100000
Training Epoch: 7 [20736/47500]	Loss: 0.4977	LR: 0.100000
Training Epoch: 7 [20992/47500]	Loss: 0.6881	LR: 0.100000
Training Epoch: 7 [21248/47500]	Loss: 0.6445	LR: 0.100000
Training Epoch: 7 [21504/47500]	Loss: 0.6073	LR: 0.100000
Training Epoch: 7 [21760/47500]	Loss: 0.6536	LR: 0.100000
Training Epoch: 7 [22016/47500]	Loss: 0.7600	LR: 0.100000
Training Epoch: 7 [22272/47500]	Loss: 0.6778	LR: 0.100000
Training Epoch: 7 [22528/47500]	Loss: 0.6611	LR: 0.100000
Training Epoch: 7 [22784/47500]	Loss: 0.5335	LR: 0.100000
Training Epoch: 7 [23040/47500]	Loss: 0.5733	LR: 0.100000
Training Epoch: 7 [23296/47500]	Loss: 0.5359	LR: 0.100000
Training Epoch: 7 [23552/47500]	Loss: 0.6113	LR: 0.100000
Training Epoch: 7 [23808/47500]	Loss: 0.5768	LR: 0.100000
Training Epoch: 7 [24064/47500]	Loss: 0.5306	LR: 0.100000
Training Epoch: 7 [24320/47500]	Loss: 0.5864	LR: 0.100000
Training Epoch: 7 [24576/47500]	Loss: 0.6273	LR: 0.100000
Training Epoch: 7 [24832/47500]	Loss: 0.6329	LR: 0.100000
Training Epoch: 7 [25088/47500]	Loss: 0.5140	LR: 0.100000
Training Epoch: 7 [25344/47500]	Loss: 0.6171	LR: 0.100000
Training Epoch: 7 [25600/47500]	Loss: 0.5505	LR: 0.100000
Training Epoch: 7 [25856/47500]	Loss: 0.5945	LR: 0.100000
Training Epoch: 7 [26112/47500]	Loss: 0.6924	LR: 0.100000
Training Epoch: 7 [26368/47500]	Loss: 0.5373	LR: 0.100000
Training Epoch: 7 [26624/47500]	Loss: 0.6141	LR: 0.100000
Training Epoch: 7 [26880/47500]	Loss: 0.6013	LR: 0.100000
Training Epoch: 7 [27136/47500]	Loss: 0.6756	LR: 0.100000
Training Epoch: 7 [27392/47500]	Loss: 0.5381	LR: 0.100000
Training Epoch: 7 [27648/47500]	Loss: 0.5138	LR: 0.100000
Training Epoch: 7 [27904/47500]	Loss: 0.6439	LR: 0.100000
Training Epoch: 7 [28160/47500]	Loss: 0.5556	LR: 0.100000
Training Epoch: 7 [28416/47500]	Loss: 0.7749	LR: 0.100000
Training Epoch: 7 [28672/47500]	Loss: 0.5866	LR: 0.100000
Training Epoch: 7 [28928/47500]	Loss: 0.6260	LR: 0.100000
Training Epoch: 7 [29184/47500]	Loss: 0.6742	LR: 0.100000
Training Epoch: 7 [29440/47500]	Loss: 0.6027	LR: 0.100000
Training Epoch: 7 [29696/47500]	Loss: 0.5074	LR: 0.100000
Training Epoch: 7 [29952/47500]	Loss: 0.5947	LR: 0.100000
Training Epoch: 7 [30208/47500]	Loss: 0.6559	LR: 0.100000
Training Epoch: 7 [30464/47500]	Loss: 0.5694	LR: 0.100000
Training Epoch: 7 [30720/47500]	Loss: 0.5454	LR: 0.100000
Training Epoch: 7 [30976/47500]	Loss: 0.6173	LR: 0.100000
Training Epoch: 7 [31232/47500]	Loss: 0.5636	LR: 0.100000
Training Epoch: 7 [31488/47500]	Loss: 0.6825	LR: 0.100000
Training Epoch: 7 [31744/47500]	Loss: 0.5689	LR: 0.100000
Training Epoch: 7 [32000/47500]	Loss: 0.6016	LR: 0.100000
Training Epoch: 7 [32256/47500]	Loss: 0.4735	LR: 0.100000
Training Epoch: 7 [32512/47500]	Loss: 0.6816	LR: 0.100000
Training Epoch: 7 [32768/47500]	Loss: 0.5180	LR: 0.100000
Training Epoch: 7 [33024/47500]	Loss: 0.5835	LR: 0.100000
Training Epoch: 7 [33280/47500]	Loss: 0.5532	LR: 0.100000
Training Epoch: 7 [33536/47500]	Loss: 0.4972	LR: 0.100000
Training Epoch: 7 [33792/47500]	Loss: 0.5272	LR: 0.100000
Training Epoch: 7 [34048/47500]	Loss: 0.5154	LR: 0.100000
Training Epoch: 7 [34304/47500]	Loss: 0.5275	LR: 0.100000
Training Epoch: 7 [34560/47500]	Loss: 0.6113	LR: 0.100000
Training Epoch: 7 [34816/47500]	Loss: 0.6583	LR: 0.100000
Training Epoch: 7 [35072/47500]	Loss: 0.5879	LR: 0.100000
Training Epoch: 7 [35328/47500]	Loss: 0.5694	LR: 0.100000
Training Epoch: 7 [35584/47500]	Loss: 0.5975	LR: 0.100000
Training Epoch: 7 [35840/47500]	Loss: 0.5332	LR: 0.100000
Training Epoch: 7 [36096/47500]	Loss: 0.6123	LR: 0.100000
Training Epoch: 7 [36352/47500]	Loss: 0.5142	LR: 0.100000
Training Epoch: 7 [36608/47500]	Loss: 0.6054	LR: 0.100000
Training Epoch: 7 [36864/47500]	Loss: 0.5374	LR: 0.100000
Training Epoch: 7 [37120/47500]	Loss: 0.5755	LR: 0.100000
Training Epoch: 7 [37376/47500]	Loss: 0.6089	LR: 0.100000
Training Epoch: 7 [37632/47500]	Loss: 0.6514	LR: 0.100000
Training Epoch: 7 [37888/47500]	Loss: 0.6457	LR: 0.100000
Training Epoch: 7 [38144/47500]	Loss: 0.6598	LR: 0.100000
Training Epoch: 7 [38400/47500]	Loss: 0.4718	LR: 0.100000
Training Epoch: 7 [38656/47500]	Loss: 0.5768	LR: 0.100000
Training Epoch: 7 [38912/47500]	Loss: 0.6318	LR: 0.100000
Training Epoch: 7 [39168/47500]	Loss: 0.5882	LR: 0.100000
Training Epoch: 7 [39424/47500]	Loss: 0.6192	LR: 0.100000
Training Epoch: 7 [39680/47500]	Loss: 0.6085	LR: 0.100000
Training Epoch: 7 [39936/47500]	Loss: 0.5107	LR: 0.100000
Training Epoch: 7 [40192/47500]	Loss: 0.5900	LR: 0.100000
Training Epoch: 7 [40448/47500]	Loss: 0.6665	LR: 0.100000
Training Epoch: 7 [40704/47500]	Loss: 0.6516	LR: 0.100000
Training Epoch: 7 [40960/47500]	Loss: 0.6340	LR: 0.100000
Training Epoch: 7 [41216/47500]	Loss: 0.5602	LR: 0.100000
Training Epoch: 7 [41472/47500]	Loss: 0.6783	LR: 0.100000
Training Epoch: 7 [41728/47500]	Loss: 0.5782	LR: 0.100000
Training Epoch: 7 [41984/47500]	Loss: 0.6420	LR: 0.100000
Training Epoch: 7 [42240/47500]	Loss: 0.6491	LR: 0.100000
Training Epoch: 7 [42496/47500]	Loss: 0.6941	LR: 0.100000
Training Epoch: 7 [42752/47500]	Loss: 0.5837	LR: 0.100000
Training Epoch: 7 [43008/47500]	Loss: 0.5159	LR: 0.100000
Training Epoch: 7 [43264/47500]	Loss: 0.5472	LR: 0.100000
Training Epoch: 7 [43520/47500]	Loss: 0.5532	LR: 0.100000
Training Epoch: 7 [43776/47500]	Loss: 0.6577	LR: 0.100000
Training Epoch: 7 [44032/47500]	Loss: 0.5415	LR: 0.100000
Training Epoch: 7 [44288/47500]	Loss: 0.5838	LR: 0.100000
Training Epoch: 7 [44544/47500]	Loss: 0.5222	LR: 0.100000
Training Epoch: 7 [44800/47500]	Loss: 0.5709	LR: 0.100000
Training Epoch: 7 [45056/47500]	Loss: 0.5895	LR: 0.100000
Training Epoch: 7 [45312/47500]	Loss: 0.6277	LR: 0.100000
Training Epoch: 7 [45568/47500]	Loss: 0.6634	LR: 0.100000
Training Epoch: 7 [45824/47500]	Loss: 0.6123	LR: 0.100000
Training Epoch: 7 [46080/47500]	Loss: 0.5384	LR: 0.100000
Training Epoch: 7 [46336/47500]	Loss: 0.6963	LR: 0.100000
Training Epoch: 7 [46592/47500]	Loss: 0.5780	LR: 0.100000
Training Epoch: 7 [46848/47500]	Loss: 0.5403	LR: 0.100000
Training Epoch: 7 [47104/47500]	Loss: 0.6221	LR: 0.100000
Training Epoch: 7 [47360/47500]	Loss: 0.5861	LR: 0.100000
Training Epoch: 7 [47500/47500]	Loss: 0.6615	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6000, Train Accuracy: 0.7913
Epoch 7 training time consumed: 28.69s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0023, Accuracy: 0.7989, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 0.4939	LR: 0.020000
Training Epoch: 8 [512/47500]	Loss: 0.4905	LR: 0.020000
Training Epoch: 8 [768/47500]	Loss: 0.5837	LR: 0.020000
Training Epoch: 8 [1024/47500]	Loss: 0.5325	LR: 0.020000
Training Epoch: 8 [1280/47500]	Loss: 0.4887	LR: 0.020000
Training Epoch: 8 [1536/47500]	Loss: 0.4678	LR: 0.020000
Training Epoch: 8 [1792/47500]	Loss: 0.5780	LR: 0.020000
Training Epoch: 8 [2048/47500]	Loss: 0.6378	LR: 0.020000
Training Epoch: 8 [2304/47500]	Loss: 0.5705	LR: 0.020000
Training Epoch: 8 [2560/47500]	Loss: 0.4826	LR: 0.020000
Training Epoch: 8 [2816/47500]	Loss: 0.5413	LR: 0.020000
Training Epoch: 8 [3072/47500]	Loss: 0.5390	LR: 0.020000
Training Epoch: 8 [3328/47500]	Loss: 0.5329	LR: 0.020000
Training Epoch: 8 [3584/47500]	Loss: 0.4701	LR: 0.020000
Training Epoch: 8 [3840/47500]	Loss: 0.4630	LR: 0.020000
Training Epoch: 8 [4096/47500]	Loss: 0.5040	LR: 0.020000
Training Epoch: 8 [4352/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 8 [4608/47500]	Loss: 0.4426	LR: 0.020000
Training Epoch: 8 [4864/47500]	Loss: 0.4231	LR: 0.020000
Training Epoch: 8 [5120/47500]	Loss: 0.4936	LR: 0.020000
Training Epoch: 8 [5376/47500]	Loss: 0.4315	LR: 0.020000
Training Epoch: 8 [5632/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 8 [5888/47500]	Loss: 0.5373	LR: 0.020000
Training Epoch: 8 [6144/47500]	Loss: 0.4586	LR: 0.020000
Training Epoch: 8 [6400/47500]	Loss: 0.4514	LR: 0.020000
Training Epoch: 8 [6656/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 8 [6912/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 8 [7168/47500]	Loss: 0.5131	LR: 0.020000
Training Epoch: 8 [7424/47500]	Loss: 0.4375	LR: 0.020000
Training Epoch: 8 [7680/47500]	Loss: 0.4223	LR: 0.020000
Training Epoch: 8 [7936/47500]	Loss: 0.4519	LR: 0.020000
Training Epoch: 8 [8192/47500]	Loss: 0.4325	LR: 0.020000
Training Epoch: 8 [8448/47500]	Loss: 0.4491	LR: 0.020000
Training Epoch: 8 [8704/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 8 [8960/47500]	Loss: 0.4436	LR: 0.020000
Training Epoch: 8 [9216/47500]	Loss: 0.4649	LR: 0.020000
Training Epoch: 8 [9472/47500]	Loss: 0.4255	LR: 0.020000
Training Epoch: 8 [9728/47500]	Loss: 0.4108	LR: 0.020000
Training Epoch: 8 [9984/47500]	Loss: 0.4383	LR: 0.020000
Training Epoch: 8 [10240/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 8 [10496/47500]	Loss: 0.4742	LR: 0.020000
Training Epoch: 8 [10752/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 8 [11008/47500]	Loss: 0.5268	LR: 0.020000
Training Epoch: 8 [11264/47500]	Loss: 0.4332	LR: 0.020000
Training Epoch: 8 [11520/47500]	Loss: 0.5165	LR: 0.020000
Training Epoch: 8 [11776/47500]	Loss: 0.4384	LR: 0.020000
Training Epoch: 8 [12032/47500]	Loss: 0.4948	LR: 0.020000
Training Epoch: 8 [12288/47500]	Loss: 0.4389	LR: 0.020000
Training Epoch: 8 [12544/47500]	Loss: 0.4953	LR: 0.020000
Training Epoch: 8 [12800/47500]	Loss: 0.5441	LR: 0.020000
Training Epoch: 8 [13056/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 8 [13312/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 8 [13568/47500]	Loss: 0.5178	LR: 0.020000
Training Epoch: 8 [13824/47500]	Loss: 0.4437	LR: 0.020000
Training Epoch: 8 [14080/47500]	Loss: 0.3856	LR: 0.020000
Training Epoch: 8 [14336/47500]	Loss: 0.4529	LR: 0.020000
Training Epoch: 8 [14592/47500]	Loss: 0.3679	LR: 0.020000
Training Epoch: 8 [14848/47500]	Loss: 0.5550	LR: 0.020000
Training Epoch: 8 [15104/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 8 [15360/47500]	Loss: 0.4994	LR: 0.020000
Training Epoch: 8 [15616/47500]	Loss: 0.4634	LR: 0.020000
Training Epoch: 8 [15872/47500]	Loss: 0.4236	LR: 0.020000
Training Epoch: 8 [16128/47500]	Loss: 0.4441	LR: 0.020000
Training Epoch: 8 [16384/47500]	Loss: 0.4439	LR: 0.020000
Training Epoch: 8 [16640/47500]	Loss: 0.4708	LR: 0.020000
Training Epoch: 8 [16896/47500]	Loss: 0.4546	LR: 0.020000
Training Epoch: 8 [17152/47500]	Loss: 0.5174	LR: 0.020000
Training Epoch: 8 [17408/47500]	Loss: 0.4742	LR: 0.020000
Training Epoch: 8 [17664/47500]	Loss: 0.4585	LR: 0.020000
Training Epoch: 8 [17920/47500]	Loss: 0.4103	LR: 0.020000
Training Epoch: 8 [18176/47500]	Loss: 0.5263	LR: 0.020000
Training Epoch: 8 [18432/47500]	Loss: 0.4190	LR: 0.020000
Training Epoch: 8 [18688/47500]	Loss: 0.4072	LR: 0.020000
Training Epoch: 8 [18944/47500]	Loss: 0.4179	LR: 0.020000
Training Epoch: 8 [19200/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 8 [19456/47500]	Loss: 0.4349	LR: 0.020000
Training Epoch: 8 [19712/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 8 [19968/47500]	Loss: 0.4046	LR: 0.020000
Training Epoch: 8 [20224/47500]	Loss: 0.4102	LR: 0.020000
Training Epoch: 8 [20480/47500]	Loss: 0.3595	LR: 0.020000
Training Epoch: 8 [20736/47500]	Loss: 0.4318	LR: 0.020000
Training Epoch: 8 [20992/47500]	Loss: 0.4695	LR: 0.020000
Training Epoch: 8 [21248/47500]	Loss: 0.4420	LR: 0.020000
Training Epoch: 8 [21504/47500]	Loss: 0.5083	LR: 0.020000
Training Epoch: 8 [21760/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 8 [22016/47500]	Loss: 0.4046	LR: 0.020000
Training Epoch: 8 [22272/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 8 [22528/47500]	Loss: 0.4049	LR: 0.020000
Training Epoch: 8 [22784/47500]	Loss: 0.5001	LR: 0.020000
Training Epoch: 8 [23040/47500]	Loss: 0.4510	LR: 0.020000
Training Epoch: 8 [23296/47500]	Loss: 0.4055	LR: 0.020000
Training Epoch: 8 [23552/47500]	Loss: 0.4376	LR: 0.020000
Training Epoch: 8 [23808/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 8 [24064/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 8 [24320/47500]	Loss: 0.3625	LR: 0.020000
Training Epoch: 8 [24576/47500]	Loss: 0.3834	LR: 0.020000
Training Epoch: 8 [24832/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 8 [25088/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 8 [25344/47500]	Loss: 0.4746	LR: 0.020000
Training Epoch: 8 [25600/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 8 [25856/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 8 [26112/47500]	Loss: 0.4432	LR: 0.020000
Training Epoch: 8 [26368/47500]	Loss: 0.4672	LR: 0.020000
Training Epoch: 8 [26624/47500]	Loss: 0.3930	LR: 0.020000
Training Epoch: 8 [26880/47500]	Loss: 0.3790	LR: 0.020000
Training Epoch: 8 [27136/47500]	Loss: 0.3869	LR: 0.020000
Training Epoch: 8 [27392/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 8 [27648/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 8 [27904/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 8 [28160/47500]	Loss: 0.3379	LR: 0.020000
Training Epoch: 8 [28416/47500]	Loss: 0.3754	LR: 0.020000
Training Epoch: 8 [28672/47500]	Loss: 0.4548	LR: 0.020000
Training Epoch: 8 [28928/47500]	Loss: 0.3976	LR: 0.020000
Training Epoch: 8 [29184/47500]	Loss: 0.3344	LR: 0.020000
Training Epoch: 8 [29440/47500]	Loss: 0.5392	LR: 0.020000
Training Epoch: 8 [29696/47500]	Loss: 0.4286	LR: 0.020000
Training Epoch: 8 [29952/47500]	Loss: 0.4087	LR: 0.020000
Training Epoch: 8 [30208/47500]	Loss: 0.3457	LR: 0.020000
Training Epoch: 8 [30464/47500]	Loss: 0.3948	LR: 0.020000
Training Epoch: 8 [30720/47500]	Loss: 0.5389	LR: 0.020000
Training Epoch: 8 [30976/47500]	Loss: 0.3900	LR: 0.020000
Training Epoch: 8 [31232/47500]	Loss: 0.5030	LR: 0.020000
Training Epoch: 8 [31488/47500]	Loss: 0.5097	LR: 0.020000
Training Epoch: 8 [31744/47500]	Loss: 0.4146	LR: 0.020000
Training Epoch: 8 [32000/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 8 [32256/47500]	Loss: 0.5251	LR: 0.020000
Training Epoch: 8 [32512/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 8 [32768/47500]	Loss: 0.4766	LR: 0.020000
Training Epoch: 8 [33024/47500]	Loss: 0.3077	LR: 0.020000
Training Epoch: 8 [33280/47500]	Loss: 0.3774	LR: 0.020000
Training Epoch: 8 [33536/47500]	Loss: 0.4300	LR: 0.020000
Training Epoch: 8 [33792/47500]	Loss: 0.4120	LR: 0.020000
Training Epoch: 8 [34048/47500]	Loss: 0.4137	LR: 0.020000
Training Epoch: 8 [34304/47500]	Loss: 0.4373	LR: 0.020000
Training Epoch: 8 [34560/47500]	Loss: 0.4464	LR: 0.020000
Training Epoch: 8 [34816/47500]	Loss: 0.5180	LR: 0.020000
Training Epoch: 8 [35072/47500]	Loss: 0.3303	LR: 0.020000
Training Epoch: 8 [35328/47500]	Loss: 0.3058	LR: 0.020000
Training Epoch: 8 [35584/47500]	Loss: 0.3540	LR: 0.020000
Training Epoch: 8 [35840/47500]	Loss: 0.4466	LR: 0.020000
Training Epoch: 8 [36096/47500]	Loss: 0.3881	LR: 0.020000
Training Epoch: 8 [36352/47500]	Loss: 0.4838	LR: 0.020000
Training Epoch: 8 [36608/47500]	Loss: 0.4293	LR: 0.020000
Training Epoch: 8 [36864/47500]	Loss: 0.4294	LR: 0.020000
Training Epoch: 8 [37120/47500]	Loss: 0.4518	LR: 0.020000
Training Epoch: 8 [37376/47500]	Loss: 0.4779	LR: 0.020000
Training Epoch: 8 [37632/47500]	Loss: 0.4147	LR: 0.020000
Training Epoch: 8 [37888/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 8 [38144/47500]	Loss: 0.4306	LR: 0.020000
Training Epoch: 8 [38400/47500]	Loss: 0.4351	LR: 0.020000
Training Epoch: 8 [38656/47500]	Loss: 0.4612	LR: 0.020000
Training Epoch: 8 [38912/47500]	Loss: 0.4692	LR: 0.020000
Training Epoch: 8 [39168/47500]	Loss: 0.3580	LR: 0.020000
Training Epoch: 8 [39424/47500]	Loss: 0.3714	LR: 0.020000
Training Epoch: 8 [39680/47500]	Loss: 0.3620	LR: 0.020000
Training Epoch: 8 [39936/47500]	Loss: 0.2657	LR: 0.020000
Training Epoch: 8 [40192/47500]	Loss: 0.3421	LR: 0.020000
Training Epoch: 8 [40448/47500]	Loss: 0.4138	LR: 0.020000
Training Epoch: 8 [40704/47500]	Loss: 0.3645	LR: 0.020000
Training Epoch: 8 [40960/47500]	Loss: 0.4921	LR: 0.020000
Training Epoch: 8 [41216/47500]	Loss: 0.4115	LR: 0.020000
Training Epoch: 8 [41472/47500]	Loss: 0.4222	LR: 0.020000
Training Epoch: 8 [41728/47500]	Loss: 0.4187	LR: 0.020000
Training Epoch: 8 [41984/47500]	Loss: 0.3925	LR: 0.020000
Training Epoch: 8 [42240/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 8 [42496/47500]	Loss: 0.4311	LR: 0.020000
Training Epoch: 8 [42752/47500]	Loss: 0.4900	LR: 0.020000
Training Epoch: 8 [43008/47500]	Loss: 0.4499	LR: 0.020000
Training Epoch: 8 [43264/47500]	Loss: 0.4220	LR: 0.020000
Training Epoch: 8 [43520/47500]	Loss: 0.4422	LR: 0.020000
Training Epoch: 8 [43776/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 8 [44032/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 8 [44288/47500]	Loss: 0.3370	LR: 0.020000
Training Epoch: 8 [44544/47500]	Loss: 0.4459	LR: 0.020000
Training Epoch: 8 [44800/47500]	Loss: 0.3945	LR: 0.020000
Training Epoch: 8 [45056/47500]	Loss: 0.4079	LR: 0.020000
Training Epoch: 8 [45312/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 8 [45568/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 8 [45824/47500]	Loss: 0.4274	LR: 0.020000
Training Epoch: 8 [46080/47500]	Loss: 0.3956	LR: 0.020000
Training Epoch: 8 [46336/47500]	Loss: 0.4594	LR: 0.020000
Training Epoch: 8 [46592/47500]	Loss: 0.4809	LR: 0.020000
Training Epoch: 8 [46848/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 8 [47104/47500]	Loss: 0.5010	LR: 0.020000
Training Epoch: 8 [47360/47500]	Loss: 0.4101	LR: 0.020000
Training Epoch: 8 [47500/47500]	Loss: 0.3213	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4420, Train Accuracy: 0.8459
Epoch 8 training time consumed: 28.69s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8568, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 9 [512/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 9 [768/47500]	Loss: 0.4450	LR: 0.020000
Training Epoch: 9 [1024/47500]	Loss: 0.3853	LR: 0.020000
Training Epoch: 9 [1280/47500]	Loss: 0.4919	LR: 0.020000
Training Epoch: 9 [1536/47500]	Loss: 0.3364	LR: 0.020000
Training Epoch: 9 [1792/47500]	Loss: 0.3653	LR: 0.020000
Training Epoch: 9 [2048/47500]	Loss: 0.3349	LR: 0.020000
Training Epoch: 9 [2304/47500]	Loss: 0.5441	LR: 0.020000
Training Epoch: 9 [2560/47500]	Loss: 0.3798	LR: 0.020000
Training Epoch: 9 [2816/47500]	Loss: 0.4131	LR: 0.020000
Training Epoch: 9 [3072/47500]	Loss: 0.3847	LR: 0.020000
Training Epoch: 9 [3328/47500]	Loss: 0.3707	LR: 0.020000
Training Epoch: 9 [3584/47500]	Loss: 0.4966	LR: 0.020000
Training Epoch: 9 [3840/47500]	Loss: 0.4778	LR: 0.020000
Training Epoch: 9 [4096/47500]	Loss: 0.4312	LR: 0.020000
Training Epoch: 9 [4352/47500]	Loss: 0.3863	LR: 0.020000
Training Epoch: 9 [4608/47500]	Loss: 0.2899	LR: 0.020000
Training Epoch: 9 [4864/47500]	Loss: 0.4069	LR: 0.020000
Training Epoch: 9 [5120/47500]	Loss: 0.3409	LR: 0.020000
Training Epoch: 9 [5376/47500]	Loss: 0.2993	LR: 0.020000
Training Epoch: 9 [5632/47500]	Loss: 0.3819	LR: 0.020000
Training Epoch: 9 [5888/47500]	Loss: 0.4604	LR: 0.020000
Training Epoch: 9 [6144/47500]	Loss: 0.5082	LR: 0.020000
Training Epoch: 9 [6400/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 9 [6656/47500]	Loss: 0.3796	LR: 0.020000
Training Epoch: 9 [6912/47500]	Loss: 0.3790	LR: 0.020000
Training Epoch: 9 [7168/47500]	Loss: 0.3748	LR: 0.020000
Training Epoch: 9 [7424/47500]	Loss: 0.4131	LR: 0.020000
Training Epoch: 9 [7680/47500]	Loss: 0.2852	LR: 0.020000
Training Epoch: 9 [7936/47500]	Loss: 0.4319	LR: 0.020000
Training Epoch: 9 [8192/47500]	Loss: 0.4808	LR: 0.020000
Training Epoch: 9 [8448/47500]	Loss: 0.3717	LR: 0.020000
Training Epoch: 9 [8704/47500]	Loss: 0.4439	LR: 0.020000
Training Epoch: 9 [8960/47500]	Loss: 0.4577	LR: 0.020000
Training Epoch: 9 [9216/47500]	Loss: 0.3557	LR: 0.020000
Training Epoch: 9 [9472/47500]	Loss: 0.4510	LR: 0.020000
Training Epoch: 9 [9728/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 9 [9984/47500]	Loss: 0.4082	LR: 0.020000
Training Epoch: 9 [10240/47500]	Loss: 0.4714	LR: 0.020000
Training Epoch: 9 [10496/47500]	Loss: 0.3800	LR: 0.020000
Training Epoch: 9 [10752/47500]	Loss: 0.4110	LR: 0.020000
Training Epoch: 9 [11008/47500]	Loss: 0.4614	LR: 0.020000
Training Epoch: 9 [11264/47500]	Loss: 0.4648	LR: 0.020000
Training Epoch: 9 [11520/47500]	Loss: 0.3367	LR: 0.020000
Training Epoch: 9 [11776/47500]	Loss: 0.3433	LR: 0.020000
Training Epoch: 9 [12032/47500]	Loss: 0.3603	LR: 0.020000
Training Epoch: 9 [12288/47500]	Loss: 0.3578	LR: 0.020000
Training Epoch: 9 [12544/47500]	Loss: 0.3986	LR: 0.020000
Training Epoch: 9 [12800/47500]	Loss: 0.4011	LR: 0.020000
Training Epoch: 9 [13056/47500]	Loss: 0.4681	LR: 0.020000
Training Epoch: 9 [13312/47500]	Loss: 0.3835	LR: 0.020000
Training Epoch: 9 [13568/47500]	Loss: 0.4073	LR: 0.020000
Training Epoch: 9 [13824/47500]	Loss: 0.3841	LR: 0.020000
Training Epoch: 9 [14080/47500]	Loss: 0.3431	LR: 0.020000
Training Epoch: 9 [14336/47500]	Loss: 0.3670	LR: 0.020000
Training Epoch: 9 [14592/47500]	Loss: 0.4442	LR: 0.020000
Training Epoch: 9 [14848/47500]	Loss: 0.3822	LR: 0.020000
Training Epoch: 9 [15104/47500]	Loss: 0.3409	LR: 0.020000
Training Epoch: 9 [15360/47500]	Loss: 0.3863	LR: 0.020000
Training Epoch: 9 [15616/47500]	Loss: 0.4012	LR: 0.020000
Training Epoch: 9 [15872/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 9 [16128/47500]	Loss: 0.5144	LR: 0.020000
Training Epoch: 9 [16384/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 9 [16640/47500]	Loss: 0.4687	LR: 0.020000
Training Epoch: 9 [16896/47500]	Loss: 0.3745	LR: 0.020000
Training Epoch: 9 [17152/47500]	Loss: 0.3281	LR: 0.020000
Training Epoch: 9 [17408/47500]	Loss: 0.3685	LR: 0.020000
Training Epoch: 9 [17664/47500]	Loss: 0.4169	LR: 0.020000
Training Epoch: 9 [17920/47500]	Loss: 0.4073	LR: 0.020000
Training Epoch: 9 [18176/47500]	Loss: 0.3549	LR: 0.020000
Training Epoch: 9 [18432/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 9 [18688/47500]	Loss: 0.4375	LR: 0.020000
Training Epoch: 9 [18944/47500]	Loss: 0.4768	LR: 0.020000
Training Epoch: 9 [19200/47500]	Loss: 0.3337	LR: 0.020000
Training Epoch: 9 [19456/47500]	Loss: 0.3347	LR: 0.020000
Training Epoch: 9 [19712/47500]	Loss: 0.4042	LR: 0.020000
Training Epoch: 9 [19968/47500]	Loss: 0.4147	LR: 0.020000
Training Epoch: 9 [20224/47500]	Loss: 0.4207	LR: 0.020000
Training Epoch: 9 [20480/47500]	Loss: 0.4628	LR: 0.020000
Training Epoch: 9 [20736/47500]	Loss: 0.4136	LR: 0.020000
Training Epoch: 9 [20992/47500]	Loss: 0.4178	LR: 0.020000
Training Epoch: 9 [21248/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 9 [21504/47500]	Loss: 0.4006	LR: 0.020000
Training Epoch: 9 [21760/47500]	Loss: 0.4084	LR: 0.020000
Training Epoch: 9 [22016/47500]	Loss: 0.3585	LR: 0.020000
Training Epoch: 9 [22272/47500]	Loss: 0.3765	LR: 0.020000
Training Epoch: 9 [22528/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 9 [22784/47500]	Loss: 0.4456	LR: 0.020000
Training Epoch: 9 [23040/47500]	Loss: 0.4480	LR: 0.020000
Training Epoch: 9 [23296/47500]	Loss: 0.3451	LR: 0.020000
Training Epoch: 9 [23552/47500]	Loss: 0.3505	LR: 0.020000
Training Epoch: 9 [23808/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 9 [24064/47500]	Loss: 0.4088	LR: 0.020000
Training Epoch: 9 [24320/47500]	Loss: 0.4194	LR: 0.020000
Training Epoch: 9 [24576/47500]	Loss: 0.3360	LR: 0.020000
Training Epoch: 9 [24832/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 9 [25088/47500]	Loss: 0.4215	LR: 0.020000
Training Epoch: 9 [25344/47500]	Loss: 0.3959	LR: 0.020000
Training Epoch: 9 [25600/47500]	Loss: 0.4148	LR: 0.020000
Training Epoch: 9 [25856/47500]	Loss: 0.3634	LR: 0.020000
Training Epoch: 9 [26112/47500]	Loss: 0.3670	LR: 0.020000
Training Epoch: 9 [26368/47500]	Loss: 0.4069	LR: 0.020000
Training Epoch: 9 [26624/47500]	Loss: 0.3497	LR: 0.020000
Training Epoch: 9 [26880/47500]	Loss: 0.4775	LR: 0.020000
Training Epoch: 9 [27136/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 9 [27392/47500]	Loss: 0.3946	LR: 0.020000
Training Epoch: 9 [27648/47500]	Loss: 0.3570	LR: 0.020000
Training Epoch: 9 [27904/47500]	Loss: 0.3656	LR: 0.020000
Training Epoch: 9 [28160/47500]	Loss: 0.2958	LR: 0.020000
Training Epoch: 9 [28416/47500]	Loss: 0.4174	LR: 0.020000
Training Epoch: 9 [28672/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 9 [28928/47500]	Loss: 0.3401	LR: 0.020000
Training Epoch: 9 [29184/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 9 [29440/47500]	Loss: 0.3668	LR: 0.020000
Training Epoch: 9 [29696/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 9 [29952/47500]	Loss: 0.4555	LR: 0.020000
Training Epoch: 9 [30208/47500]	Loss: 0.4292	LR: 0.020000
Training Epoch: 9 [30464/47500]	Loss: 0.3175	LR: 0.020000
Training Epoch: 9 [30720/47500]	Loss: 0.3624	LR: 0.020000
Training Epoch: 9 [30976/47500]	Loss: 0.3350	LR: 0.020000
Training Epoch: 9 [31232/47500]	Loss: 0.3943	LR: 0.020000
Training Epoch: 9 [31488/47500]	Loss: 0.4882	LR: 0.020000
Training Epoch: 9 [31744/47500]	Loss: 0.3267	LR: 0.020000
Training Epoch: 9 [32000/47500]	Loss: 0.4058	LR: 0.020000
Training Epoch: 9 [32256/47500]	Loss: 0.4859	LR: 0.020000
Training Epoch: 9 [32512/47500]	Loss: 0.4074	LR: 0.020000
Training Epoch: 9 [32768/47500]	Loss: 0.5047	LR: 0.020000
Training Epoch: 9 [33024/47500]	Loss: 0.3838	LR: 0.020000
Training Epoch: 9 [33280/47500]	Loss: 0.3468	LR: 0.020000
Training Epoch: 9 [33536/47500]	Loss: 0.4260	LR: 0.020000
Training Epoch: 9 [33792/47500]	Loss: 0.4039	LR: 0.020000
Training Epoch: 9 [34048/47500]	Loss: 0.3357	LR: 0.020000
Training Epoch: 9 [34304/47500]	Loss: 0.3121	LR: 0.020000
Training Epoch: 9 [34560/47500]	Loss: 0.3425	LR: 0.020000
Training Epoch: 9 [34816/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 9 [35072/47500]	Loss: 0.4149	LR: 0.020000
Training Epoch: 9 [35328/47500]	Loss: 0.3572	LR: 0.020000
Training Epoch: 9 [35584/47500]	Loss: 0.3998	LR: 0.020000
Training Epoch: 9 [35840/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 9 [36096/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 9 [36352/47500]	Loss: 0.4046	LR: 0.020000
Training Epoch: 9 [36608/47500]	Loss: 0.4116	LR: 0.020000
Training Epoch: 9 [36864/47500]	Loss: 0.3810	LR: 0.020000
Training Epoch: 9 [37120/47500]	Loss: 0.5005	LR: 0.020000
Training Epoch: 9 [37376/47500]	Loss: 0.4327	LR: 0.020000
Training Epoch: 9 [37632/47500]	Loss: 0.3657	LR: 0.020000
Training Epoch: 9 [37888/47500]	Loss: 0.4480	LR: 0.020000
Training Epoch: 9 [38144/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 9 [38400/47500]	Loss: 0.4092	LR: 0.020000
Training Epoch: 9 [38656/47500]	Loss: 0.3860	LR: 0.020000
Training Epoch: 9 [38912/47500]	Loss: 0.3546	LR: 0.020000
Training Epoch: 9 [39168/47500]	Loss: 0.3637	LR: 0.020000
Training Epoch: 9 [39424/47500]	Loss: 0.3142	LR: 0.020000
Training Epoch: 9 [39680/47500]	Loss: 0.4445	LR: 0.020000
Training Epoch: 9 [39936/47500]	Loss: 0.3749	LR: 0.020000
Training Epoch: 9 [40192/47500]	Loss: 0.4419	LR: 0.020000
Training Epoch: 9 [40448/47500]	Loss: 0.3138	LR: 0.020000
Training Epoch: 9 [40704/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 9 [40960/47500]	Loss: 0.3809	LR: 0.020000
Training Epoch: 9 [41216/47500]	Loss: 0.5090	LR: 0.020000
Training Epoch: 9 [41472/47500]	Loss: 0.2676	LR: 0.020000
Training Epoch: 9 [41728/47500]	Loss: 0.3853	LR: 0.020000
Training Epoch: 9 [41984/47500]	Loss: 0.3622	LR: 0.020000
Training Epoch: 9 [42240/47500]	Loss: 0.3934	LR: 0.020000
Training Epoch: 9 [42496/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 9 [42752/47500]	Loss: 0.3897	LR: 0.020000
Training Epoch: 9 [43008/47500]	Loss: 0.3947	LR: 0.020000
Training Epoch: 9 [43264/47500]	Loss: 0.4273	LR: 0.020000
Training Epoch: 9 [43520/47500]	Loss: 0.4272	LR: 0.020000
Training Epoch: 9 [43776/47500]	Loss: 0.3889	LR: 0.020000
Training Epoch: 9 [44032/47500]	Loss: 0.3448	LR: 0.020000
Training Epoch: 9 [44288/47500]	Loss: 0.3917	LR: 0.020000
Training Epoch: 9 [44544/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 9 [44800/47500]	Loss: 0.3016	LR: 0.020000
Training Epoch: 9 [45056/47500]	Loss: 0.2528	LR: 0.020000
Training Epoch: 9 [45312/47500]	Loss: 0.4569	LR: 0.020000
Training Epoch: 9 [45568/47500]	Loss: 0.4301	LR: 0.020000
Training Epoch: 9 [45824/47500]	Loss: 0.3922	LR: 0.020000
Training Epoch: 9 [46080/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 9 [46336/47500]	Loss: 0.3992	LR: 0.020000
Training Epoch: 9 [46592/47500]	Loss: 0.3494	LR: 0.020000
Training Epoch: 9 [46848/47500]	Loss: 0.3544	LR: 0.020000
Training Epoch: 9 [47104/47500]	Loss: 0.3914	LR: 0.020000
Training Epoch: 9 [47360/47500]	Loss: 0.4008	LR: 0.020000
Training Epoch: 9 [47500/47500]	Loss: 0.3943	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3977, Train Accuracy: 0.8608
Epoch 9 training time consumed: 29.08s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8652, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 0.3738	LR: 0.020000
Training Epoch: 10 [512/47500]	Loss: 0.3719	LR: 0.020000
Training Epoch: 10 [768/47500]	Loss: 0.4299	LR: 0.020000
Training Epoch: 10 [1024/47500]	Loss: 0.3390	LR: 0.020000
Training Epoch: 10 [1280/47500]	Loss: 0.4325	LR: 0.020000
Training Epoch: 10 [1536/47500]	Loss: 0.4205	LR: 0.020000
Training Epoch: 10 [1792/47500]	Loss: 0.3019	LR: 0.020000
Training Epoch: 10 [2048/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 10 [2304/47500]	Loss: 0.4133	LR: 0.020000
Training Epoch: 10 [2560/47500]	Loss: 0.3761	LR: 0.020000
Training Epoch: 10 [2816/47500]	Loss: 0.4230	LR: 0.020000
Training Epoch: 10 [3072/47500]	Loss: 0.3522	LR: 0.020000
Training Epoch: 10 [3328/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 10 [3584/47500]	Loss: 0.4267	LR: 0.020000
Training Epoch: 10 [3840/47500]	Loss: 0.3284	LR: 0.020000
Training Epoch: 10 [4096/47500]	Loss: 0.3389	LR: 0.020000
Training Epoch: 10 [4352/47500]	Loss: 0.3336	LR: 0.020000
Training Epoch: 10 [4608/47500]	Loss: 0.3230	LR: 0.020000
Training Epoch: 10 [4864/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 10 [5120/47500]	Loss: 0.4164	LR: 0.020000
Training Epoch: 10 [5376/47500]	Loss: 0.3510	LR: 0.020000
Training Epoch: 10 [5632/47500]	Loss: 0.4250	LR: 0.020000
Training Epoch: 10 [5888/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 10 [6144/47500]	Loss: 0.4426	LR: 0.020000
Training Epoch: 10 [6400/47500]	Loss: 0.3789	LR: 0.020000
Training Epoch: 10 [6656/47500]	Loss: 0.3523	LR: 0.020000
Training Epoch: 10 [6912/47500]	Loss: 0.3806	LR: 0.020000
Training Epoch: 10 [7168/47500]	Loss: 0.3480	LR: 0.020000
Training Epoch: 10 [7424/47500]	Loss: 0.4014	LR: 0.020000
Training Epoch: 10 [7680/47500]	Loss: 0.3721	LR: 0.020000
Training Epoch: 10 [7936/47500]	Loss: 0.3401	LR: 0.020000
Training Epoch: 10 [8192/47500]	Loss: 0.4559	LR: 0.020000
Training Epoch: 10 [8448/47500]	Loss: 0.3415	LR: 0.020000
Training Epoch: 10 [8704/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 10 [8960/47500]	Loss: 0.3908	LR: 0.020000
Training Epoch: 10 [9216/47500]	Loss: 0.4006	LR: 0.020000
Training Epoch: 10 [9472/47500]	Loss: 0.2895	LR: 0.020000
Training Epoch: 10 [9728/47500]	Loss: 0.3428	LR: 0.020000
Training Epoch: 10 [9984/47500]	Loss: 0.3847	LR: 0.020000
Training Epoch: 10 [10240/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 10 [10496/47500]	Loss: 0.3493	LR: 0.020000
Training Epoch: 10 [10752/47500]	Loss: 0.3334	LR: 0.020000
Training Epoch: 10 [11008/47500]	Loss: 0.4369	LR: 0.020000
Training Epoch: 10 [11264/47500]	Loss: 0.3594	LR: 0.020000
Training Epoch: 10 [11520/47500]	Loss: 0.4458	LR: 0.020000
Training Epoch: 10 [11776/47500]	Loss: 0.3377	LR: 0.020000
Training Epoch: 10 [12032/47500]	Loss: 0.3681	LR: 0.020000
Training Epoch: 10 [12288/47500]	Loss: 0.3550	LR: 0.020000
Training Epoch: 10 [12544/47500]	Loss: 0.3434	LR: 0.020000
Training Epoch: 10 [12800/47500]	Loss: 0.4658	LR: 0.020000
Training Epoch: 10 [13056/47500]	Loss: 0.4084	LR: 0.020000
Training Epoch: 10 [13312/47500]	Loss: 0.3272	LR: 0.020000
Training Epoch: 10 [13568/47500]	Loss: 0.3534	LR: 0.020000
Training Epoch: 10 [13824/47500]	Loss: 0.4422	LR: 0.020000
Training Epoch: 10 [14080/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 10 [14336/47500]	Loss: 0.4313	LR: 0.020000
Training Epoch: 10 [14592/47500]	Loss: 0.3415	LR: 0.020000
Training Epoch: 10 [14848/47500]	Loss: 0.3644	LR: 0.020000
Training Epoch: 10 [15104/47500]	Loss: 0.3982	LR: 0.020000
Training Epoch: 10 [15360/47500]	Loss: 0.4825	LR: 0.020000
Training Epoch: 10 [15616/47500]	Loss: 0.4615	LR: 0.020000
Training Epoch: 10 [15872/47500]	Loss: 0.4044	LR: 0.020000
Training Epoch: 10 [16128/47500]	Loss: 0.3267	LR: 0.020000
Training Epoch: 10 [16384/47500]	Loss: 0.3826	LR: 0.020000
Training Epoch: 10 [16640/47500]	Loss: 0.3655	LR: 0.020000
Training Epoch: 10 [16896/47500]	Loss: 0.3394	LR: 0.020000
Training Epoch: 10 [17152/47500]	Loss: 0.3581	LR: 0.020000
Training Epoch: 10 [17408/47500]	Loss: 0.4164	LR: 0.020000
Training Epoch: 10 [17664/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 10 [17920/47500]	Loss: 0.4805	LR: 0.020000
Training Epoch: 10 [18176/47500]	Loss: 0.2908	LR: 0.020000
Training Epoch: 10 [18432/47500]	Loss: 0.3926	LR: 0.020000
Training Epoch: 10 [18688/47500]	Loss: 0.3597	LR: 0.020000
Training Epoch: 10 [18944/47500]	Loss: 0.3616	LR: 0.020000
Training Epoch: 10 [19200/47500]	Loss: 0.3303	LR: 0.020000
Training Epoch: 10 [19456/47500]	Loss: 0.4105	LR: 0.020000
Training Epoch: 10 [19712/47500]	Loss: 0.3780	LR: 0.020000
Training Epoch: 10 [19968/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 10 [20224/47500]	Loss: 0.3790	LR: 0.020000
Training Epoch: 10 [20480/47500]	Loss: 0.4286	LR: 0.020000
Training Epoch: 10 [20736/47500]	Loss: 0.3352	LR: 0.020000
Training Epoch: 10 [20992/47500]	Loss: 0.3791	LR: 0.020000
Training Epoch: 10 [21248/47500]	Loss: 0.4918	LR: 0.020000
Training Epoch: 10 [21504/47500]	Loss: 0.4718	LR: 0.020000
Training Epoch: 10 [21760/47500]	Loss: 0.3445	LR: 0.020000
Training Epoch: 10 [22016/47500]	Loss: 0.3178	LR: 0.020000
Training Epoch: 10 [22272/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 10 [22528/47500]	Loss: 0.4083	LR: 0.020000
Training Epoch: 10 [22784/47500]	Loss: 0.4197	LR: 0.020000
Training Epoch: 10 [23040/47500]	Loss: 0.4402	LR: 0.020000
Training Epoch: 10 [23296/47500]	Loss: 0.3412	LR: 0.020000
Training Epoch: 10 [23552/47500]	Loss: 0.3276	LR: 0.020000
Training Epoch: 10 [23808/47500]	Loss: 0.3304	LR: 0.020000
Training Epoch: 10 [24064/47500]	Loss: 0.3343	LR: 0.020000
Training Epoch: 10 [24320/47500]	Loss: 0.3792	LR: 0.020000
Training Epoch: 10 [24576/47500]	Loss: 0.3520	LR: 0.020000
Training Epoch: 10 [24832/47500]	Loss: 0.3928	LR: 0.020000
Training Epoch: 10 [25088/47500]	Loss: 0.3476	LR: 0.020000
Training Epoch: 10 [25344/47500]	Loss: 0.3422	LR: 0.020000
Training Epoch: 10 [25600/47500]	Loss: 0.2687	LR: 0.020000
Training Epoch: 10 [25856/47500]	Loss: 0.4614	LR: 0.020000
Training Epoch: 10 [26112/47500]	Loss: 0.3610	LR: 0.020000
Training Epoch: 10 [26368/47500]	Loss: 0.3333	LR: 0.020000
Training Epoch: 10 [26624/47500]	Loss: 0.3864	LR: 0.020000
Training Epoch: 10 [26880/47500]	Loss: 0.4173	LR: 0.020000
Training Epoch: 10 [27136/47500]	Loss: 0.3312	LR: 0.020000
Training Epoch: 10 [27392/47500]	Loss: 0.4076	LR: 0.020000
Training Epoch: 10 [27648/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 10 [27904/47500]	Loss: 0.3818	LR: 0.020000
Training Epoch: 10 [28160/47500]	Loss: 0.4077	LR: 0.020000
Training Epoch: 10 [28416/47500]	Loss: 0.4049	LR: 0.020000
Training Epoch: 10 [28672/47500]	Loss: 0.3710	LR: 0.020000
Training Epoch: 10 [28928/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 10 [29184/47500]	Loss: 0.4242	LR: 0.020000
Training Epoch: 10 [29440/47500]	Loss: 0.3547	LR: 0.020000
Training Epoch: 10 [29696/47500]	Loss: 0.3805	LR: 0.020000
Training Epoch: 10 [29952/47500]	Loss: 0.3466	LR: 0.020000
Training Epoch: 10 [30208/47500]	Loss: 0.4254	LR: 0.020000
Training Epoch: 10 [30464/47500]	Loss: 0.3671	LR: 0.020000
Training Epoch: 10 [30720/47500]	Loss: 0.3633	LR: 0.020000
Training Epoch: 10 [30976/47500]	Loss: 0.3425	LR: 0.020000
Training Epoch: 10 [31232/47500]	Loss: 0.3948	LR: 0.020000
Training Epoch: 10 [31488/47500]	Loss: 0.3879	LR: 0.020000
Training Epoch: 10 [31744/47500]	Loss: 0.4022	LR: 0.020000
Training Epoch: 10 [32000/47500]	Loss: 0.3188	LR: 0.020000
Training Epoch: 10 [32256/47500]	Loss: 0.3992	LR: 0.020000
Training Epoch: 10 [32512/47500]	Loss: 0.3336	LR: 0.020000
Training Epoch: 10 [32768/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 10 [33024/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 10 [33280/47500]	Loss: 0.4036	LR: 0.020000
Training Epoch: 10 [33536/47500]	Loss: 0.3251	LR: 0.020000
Training Epoch: 10 [33792/47500]	Loss: 0.3321	LR: 0.020000
Training Epoch: 10 [34048/47500]	Loss: 0.3340	LR: 0.020000
Training Epoch: 10 [34304/47500]	Loss: 0.3359	LR: 0.020000
Training Epoch: 10 [34560/47500]	Loss: 0.4066	LR: 0.020000
Training Epoch: 10 [34816/47500]	Loss: 0.3715	LR: 0.020000
Training Epoch: 10 [35072/47500]	Loss: 0.4059	LR: 0.020000
Training Epoch: 10 [35328/47500]	Loss: 0.3857	LR: 0.020000
Training Epoch: 10 [35584/47500]	Loss: 0.3508	LR: 0.020000
Training Epoch: 10 [35840/47500]	Loss: 0.3466	LR: 0.020000
Training Epoch: 10 [36096/47500]	Loss: 0.3747	LR: 0.020000
Training Epoch: 10 [36352/47500]	Loss: 0.3523	LR: 0.020000
Training Epoch: 10 [36608/47500]	Loss: 0.3160	LR: 0.020000
Training Epoch: 10 [36864/47500]	Loss: 0.2984	LR: 0.020000
Training Epoch: 10 [37120/47500]	Loss: 0.3608	LR: 0.020000
Training Epoch: 10 [37376/47500]	Loss: 0.3394	LR: 0.020000
Training Epoch: 10 [37632/47500]	Loss: 0.4224	LR: 0.020000
Training Epoch: 10 [37888/47500]	Loss: 0.3457	LR: 0.020000
Training Epoch: 10 [38144/47500]	Loss: 0.3612	LR: 0.020000
Training Epoch: 10 [38400/47500]	Loss: 0.5117	LR: 0.020000
Training Epoch: 10 [38656/47500]	Loss: 0.3862	LR: 0.020000
Training Epoch: 10 [38912/47500]	Loss: 0.3584	LR: 0.020000
Training Epoch: 10 [39168/47500]	Loss: 0.3314	LR: 0.020000
Training Epoch: 10 [39424/47500]	Loss: 0.4421	LR: 0.020000
Training Epoch: 10 [39680/47500]	Loss: 0.3078	LR: 0.020000
Training Epoch: 10 [39936/47500]	Loss: 0.4237	LR: 0.020000
Training Epoch: 10 [40192/47500]	Loss: 0.3933	LR: 0.020000
Training Epoch: 10 [40448/47500]	Loss: 0.4317	LR: 0.020000
Training Epoch: 10 [40704/47500]	Loss: 0.3091	LR: 0.020000
Training Epoch: 10 [40960/47500]	Loss: 0.4551	LR: 0.020000
Training Epoch: 10 [41216/47500]	Loss: 0.3094	LR: 0.020000
Training Epoch: 10 [41472/47500]	Loss: 0.3749	LR: 0.020000
Training Epoch: 10 [41728/47500]	Loss: 0.3786	LR: 0.020000
Training Epoch: 10 [41984/47500]	Loss: 0.3582	LR: 0.020000
Training Epoch: 10 [42240/47500]	Loss: 0.3650	LR: 0.020000
Training Epoch: 10 [42496/47500]	Loss: 0.3028	LR: 0.020000
Training Epoch: 10 [42752/47500]	Loss: 0.3245	LR: 0.020000
Training Epoch: 10 [43008/47500]	Loss: 0.3724	LR: 0.020000
Training Epoch: 10 [43264/47500]	Loss: 0.2990	LR: 0.020000
Training Epoch: 10 [43520/47500]	Loss: 0.4468	LR: 0.020000
Training Epoch: 10 [43776/47500]	Loss: 0.4342	LR: 0.020000
Training Epoch: 10 [44032/47500]	Loss: 0.3531	LR: 0.020000
Training Epoch: 10 [44288/47500]	Loss: 0.3646	LR: 0.020000
Training Epoch: 10 [44544/47500]	Loss: 0.3896	LR: 0.020000
Training Epoch: 10 [44800/47500]	Loss: 0.3361	LR: 0.020000
Training Epoch: 10 [45056/47500]	Loss: 0.3994	LR: 0.020000
Training Epoch: 10 [45312/47500]	Loss: 0.3825	LR: 0.020000
Training Epoch: 10 [45568/47500]	Loss: 0.4754	LR: 0.020000
Training Epoch: 10 [45824/47500]	Loss: 0.4085	LR: 0.020000
Training Epoch: 10 [46080/47500]	Loss: 0.4345	LR: 0.020000
Training Epoch: 10 [46336/47500]	Loss: 0.4167	LR: 0.020000
Training Epoch: 10 [46592/47500]	Loss: 0.4030	LR: 0.020000
Training Epoch: 10 [46848/47500]	Loss: 0.3573	LR: 0.020000
Training Epoch: 10 [47104/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 10 [47360/47500]	Loss: 0.3109	LR: 0.020000
Training Epoch: 10 [47500/47500]	Loss: 0.3881	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3798, Train Accuracy: 0.8676
Epoch 10 training time consumed: 28.98s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8650, Time consumed:0.93s
Training Epoch: 11 [256/47500]	Loss: 0.4041	LR: 0.020000
Training Epoch: 11 [512/47500]	Loss: 0.2809	LR: 0.020000
Training Epoch: 11 [768/47500]	Loss: 0.4118	LR: 0.020000
Training Epoch: 11 [1024/47500]	Loss: 0.4065	LR: 0.020000
Training Epoch: 11 [1280/47500]	Loss: 0.3776	LR: 0.020000
Training Epoch: 11 [1536/47500]	Loss: 0.3237	LR: 0.020000
Training Epoch: 11 [1792/47500]	Loss: 0.3498	LR: 0.020000
Training Epoch: 11 [2048/47500]	Loss: 0.3247	LR: 0.020000
Training Epoch: 11 [2304/47500]	Loss: 0.3208	LR: 0.020000
Training Epoch: 11 [2560/47500]	Loss: 0.2818	LR: 0.020000
Training Epoch: 11 [2816/47500]	Loss: 0.2851	LR: 0.020000
Training Epoch: 11 [3072/47500]	Loss: 0.3450	LR: 0.020000
Training Epoch: 11 [3328/47500]	Loss: 0.3371	LR: 0.020000
Training Epoch: 11 [3584/47500]	Loss: 0.5474	LR: 0.020000
Training Epoch: 11 [3840/47500]	Loss: 0.3145	LR: 0.020000
Training Epoch: 11 [4096/47500]	Loss: 0.3598	LR: 0.020000
Training Epoch: 11 [4352/47500]	Loss: 0.2892	LR: 0.020000
Training Epoch: 11 [4608/47500]	Loss: 0.2914	LR: 0.020000
Training Epoch: 11 [4864/47500]	Loss: 0.2757	LR: 0.020000
Training Epoch: 11 [5120/47500]	Loss: 0.4106	LR: 0.020000
Training Epoch: 11 [5376/47500]	Loss: 0.2911	LR: 0.020000
Training Epoch: 11 [5632/47500]	Loss: 0.4081	LR: 0.020000
Training Epoch: 11 [5888/47500]	Loss: 0.3338	LR: 0.020000
Training Epoch: 11 [6144/47500]	Loss: 0.3000	LR: 0.020000
Training Epoch: 11 [6400/47500]	Loss: 0.3127	LR: 0.020000
Training Epoch: 11 [6656/47500]	Loss: 0.3565	LR: 0.020000
Training Epoch: 11 [6912/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 11 [7168/47500]	Loss: 0.3230	LR: 0.020000
Training Epoch: 11 [7424/47500]	Loss: 0.3446	LR: 0.020000
Training Epoch: 11 [7680/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 11 [7936/47500]	Loss: 0.3509	LR: 0.020000
Training Epoch: 11 [8192/47500]	Loss: 0.3732	LR: 0.020000
Training Epoch: 11 [8448/47500]	Loss: 0.3537	LR: 0.020000
Training Epoch: 11 [8704/47500]	Loss: 0.3252	LR: 0.020000
Training Epoch: 11 [8960/47500]	Loss: 0.2972	LR: 0.020000
Training Epoch: 11 [9216/47500]	Loss: 0.3820	LR: 0.020000
Training Epoch: 11 [9472/47500]	Loss: 0.3684	LR: 0.020000
Training Epoch: 11 [9728/47500]	Loss: 0.3837	LR: 0.020000
Training Epoch: 11 [9984/47500]	Loss: 0.3663	LR: 0.020000
Training Epoch: 11 [10240/47500]	Loss: 0.3757	LR: 0.020000
Training Epoch: 11 [10496/47500]	Loss: 0.3109	LR: 0.020000
Training Epoch: 11 [10752/47500]	Loss: 0.2907	LR: 0.020000
Training Epoch: 11 [11008/47500]	Loss: 0.4184	LR: 0.020000
Training Epoch: 11 [11264/47500]	Loss: 0.3718	LR: 0.020000
Training Epoch: 11 [11520/47500]	Loss: 0.3563	LR: 0.020000
Training Epoch: 11 [11776/47500]	Loss: 0.2603	LR: 0.020000
Training Epoch: 11 [12032/47500]	Loss: 0.2718	LR: 0.020000
Training Epoch: 11 [12288/47500]	Loss: 0.3723	LR: 0.020000
Training Epoch: 11 [12544/47500]	Loss: 0.3843	LR: 0.020000
Training Epoch: 11 [12800/47500]	Loss: 0.4019	LR: 0.020000
Training Epoch: 11 [13056/47500]	Loss: 0.3917	LR: 0.020000
Training Epoch: 11 [13312/47500]	Loss: 0.2965	LR: 0.020000
Training Epoch: 11 [13568/47500]	Loss: 0.4019	LR: 0.020000
Training Epoch: 11 [13824/47500]	Loss: 0.3497	LR: 0.020000
Training Epoch: 11 [14080/47500]	Loss: 0.3938	LR: 0.020000
Training Epoch: 11 [14336/47500]	Loss: 0.3975	LR: 0.020000
Training Epoch: 11 [14592/47500]	Loss: 0.4646	LR: 0.020000
Training Epoch: 11 [14848/47500]	Loss: 0.3797	LR: 0.020000
Training Epoch: 11 [15104/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 11 [15360/47500]	Loss: 0.3741	LR: 0.020000
Training Epoch: 11 [15616/47500]	Loss: 0.3334	LR: 0.020000
Training Epoch: 11 [15872/47500]	Loss: 0.2891	LR: 0.020000
Training Epoch: 11 [16128/47500]	Loss: 0.3676	LR: 0.020000
Training Epoch: 11 [16384/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 11 [16640/47500]	Loss: 0.2737	LR: 0.020000
Training Epoch: 11 [16896/47500]	Loss: 0.2833	LR: 0.020000
Training Epoch: 11 [17152/47500]	Loss: 0.3755	LR: 0.020000
Training Epoch: 11 [17408/47500]	Loss: 0.4857	LR: 0.020000
Training Epoch: 11 [17664/47500]	Loss: 0.2702	LR: 0.020000
Training Epoch: 11 [17920/47500]	Loss: 0.4210	LR: 0.020000
Training Epoch: 11 [18176/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 11 [18432/47500]	Loss: 0.3470	LR: 0.020000
Training Epoch: 11 [18688/47500]	Loss: 0.3278	LR: 0.020000
Training Epoch: 11 [18944/47500]	Loss: 0.2847	LR: 0.020000
Training Epoch: 11 [19200/47500]	Loss: 0.4034	LR: 0.020000
Training Epoch: 11 [19456/47500]	Loss: 0.3689	LR: 0.020000
Training Epoch: 11 [19712/47500]	Loss: 0.3227	LR: 0.020000
Training Epoch: 11 [19968/47500]	Loss: 0.3738	LR: 0.020000
Training Epoch: 11 [20224/47500]	Loss: 0.4120	LR: 0.020000
Training Epoch: 11 [20480/47500]	Loss: 0.4179	LR: 0.020000
Training Epoch: 11 [20736/47500]	Loss: 0.3426	LR: 0.020000
Training Epoch: 11 [20992/47500]	Loss: 0.4394	LR: 0.020000
Training Epoch: 11 [21248/47500]	Loss: 0.3848	LR: 0.020000
Training Epoch: 11 [21504/47500]	Loss: 0.3417	LR: 0.020000
Training Epoch: 11 [21760/47500]	Loss: 0.3036	LR: 0.020000
Training Epoch: 11 [22016/47500]	Loss: 0.4071	LR: 0.020000
Training Epoch: 11 [22272/47500]	Loss: 0.3850	LR: 0.020000
Training Epoch: 11 [22528/47500]	Loss: 0.3776	LR: 0.020000
Training Epoch: 11 [22784/47500]	Loss: 0.3847	LR: 0.020000
Training Epoch: 11 [23040/47500]	Loss: 0.3195	LR: 0.020000
Training Epoch: 11 [23296/47500]	Loss: 0.3145	LR: 0.020000
Training Epoch: 11 [23552/47500]	Loss: 0.3363	LR: 0.020000
Training Epoch: 11 [23808/47500]	Loss: 0.4548	LR: 0.020000
Training Epoch: 11 [24064/47500]	Loss: 0.3673	LR: 0.020000
Training Epoch: 11 [24320/47500]	Loss: 0.3735	LR: 0.020000
Training Epoch: 11 [24576/47500]	Loss: 0.3076	LR: 0.020000
Training Epoch: 11 [24832/47500]	Loss: 0.3996	LR: 0.020000
Training Epoch: 11 [25088/47500]	Loss: 0.3553	LR: 0.020000
Training Epoch: 11 [25344/47500]	Loss: 0.4185	LR: 0.020000
Training Epoch: 11 [25600/47500]	Loss: 0.3449	LR: 0.020000
Training Epoch: 11 [25856/47500]	Loss: 0.3643	LR: 0.020000
Training Epoch: 11 [26112/47500]	Loss: 0.3869	LR: 0.020000
Training Epoch: 11 [26368/47500]	Loss: 0.3718	LR: 0.020000
Training Epoch: 11 [26624/47500]	Loss: 0.3630	LR: 0.020000
Training Epoch: 11 [26880/47500]	Loss: 0.4764	LR: 0.020000
Training Epoch: 11 [27136/47500]	Loss: 0.3476	LR: 0.020000
Training Epoch: 11 [27392/47500]	Loss: 0.3439	LR: 0.020000
Training Epoch: 11 [27648/47500]	Loss: 0.3877	LR: 0.020000
Training Epoch: 11 [27904/47500]	Loss: 0.2809	LR: 0.020000
Training Epoch: 11 [28160/47500]	Loss: 0.3576	LR: 0.020000
Training Epoch: 11 [28416/47500]	Loss: 0.4102	LR: 0.020000
Training Epoch: 11 [28672/47500]	Loss: 0.2909	LR: 0.020000
Training Epoch: 11 [28928/47500]	Loss: 0.4285	LR: 0.020000
Training Epoch: 11 [29184/47500]	Loss: 0.3951	LR: 0.020000
Training Epoch: 11 [29440/47500]	Loss: 0.3171	LR: 0.020000
Training Epoch: 11 [29696/47500]	Loss: 0.2818	LR: 0.020000
Training Epoch: 11 [29952/47500]	Loss: 0.3251	LR: 0.020000
Training Epoch: 11 [30208/47500]	Loss: 0.2655	LR: 0.020000
Training Epoch: 11 [30464/47500]	Loss: 0.3017	LR: 0.020000
Training Epoch: 11 [30720/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 11 [30976/47500]	Loss: 0.3803	LR: 0.020000
Training Epoch: 11 [31232/47500]	Loss: 0.3535	LR: 0.020000
Training Epoch: 11 [31488/47500]	Loss: 0.3147	LR: 0.020000
Training Epoch: 11 [31744/47500]	Loss: 0.2527	LR: 0.020000
Training Epoch: 11 [32000/47500]	Loss: 0.3018	LR: 0.020000
Training Epoch: 11 [32256/47500]	Loss: 0.3945	LR: 0.020000
Training Epoch: 11 [32512/47500]	Loss: 0.3667	LR: 0.020000
Training Epoch: 11 [32768/47500]	Loss: 0.3721	LR: 0.020000
Training Epoch: 11 [33024/47500]	Loss: 0.4229	LR: 0.020000
Training Epoch: 11 [33280/47500]	Loss: 0.3489	LR: 0.020000
Training Epoch: 11 [33536/47500]	Loss: 0.4177	LR: 0.020000
Training Epoch: 11 [33792/47500]	Loss: 0.3243	LR: 0.020000
Training Epoch: 11 [34048/47500]	Loss: 0.4689	LR: 0.020000
Training Epoch: 11 [34304/47500]	Loss: 0.3346	LR: 0.020000
Training Epoch: 11 [34560/47500]	Loss: 0.3278	LR: 0.020000
Training Epoch: 11 [34816/47500]	Loss: 0.4097	LR: 0.020000
Training Epoch: 11 [35072/47500]	Loss: 0.4381	LR: 0.020000
Training Epoch: 11 [35328/47500]	Loss: 0.3421	LR: 0.020000
Training Epoch: 11 [35584/47500]	Loss: 0.3418	LR: 0.020000
Training Epoch: 11 [35840/47500]	Loss: 0.3575	LR: 0.020000
Training Epoch: 11 [36096/47500]	Loss: 0.4032	LR: 0.020000
Training Epoch: 11 [36352/47500]	Loss: 0.3515	LR: 0.020000
Training Epoch: 11 [36608/47500]	Loss: 0.4247	LR: 0.020000
Training Epoch: 11 [36864/47500]	Loss: 0.3309	LR: 0.020000
Training Epoch: 11 [37120/47500]	Loss: 0.3636	LR: 0.020000
Training Epoch: 11 [37376/47500]	Loss: 0.3830	LR: 0.020000
Training Epoch: 11 [37632/47500]	Loss: 0.3672	LR: 0.020000
Training Epoch: 11 [37888/47500]	Loss: 0.3362	LR: 0.020000
Training Epoch: 11 [38144/47500]	Loss: 0.4354	LR: 0.020000
Training Epoch: 11 [38400/47500]	Loss: 0.4016	LR: 0.020000
Training Epoch: 11 [38656/47500]	Loss: 0.3270	LR: 0.020000
Training Epoch: 11 [38912/47500]	Loss: 0.3894	LR: 0.020000
Training Epoch: 11 [39168/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 11 [39424/47500]	Loss: 0.3584	LR: 0.020000
Training Epoch: 11 [39680/47500]	Loss: 0.4224	LR: 0.020000
Training Epoch: 11 [39936/47500]	Loss: 0.3981	LR: 0.020000
Training Epoch: 11 [40192/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 11 [40448/47500]	Loss: 0.3474	LR: 0.020000
Training Epoch: 11 [40704/47500]	Loss: 0.3545	LR: 0.020000
Training Epoch: 11 [40960/47500]	Loss: 0.4044	LR: 0.020000
Training Epoch: 11 [41216/47500]	Loss: 0.3403	LR: 0.020000
Training Epoch: 11 [41472/47500]	Loss: 0.4426	LR: 0.020000
Training Epoch: 11 [41728/47500]	Loss: 0.4074	LR: 0.020000
Training Epoch: 11 [41984/47500]	Loss: 0.3304	LR: 0.020000
Training Epoch: 11 [42240/47500]	Loss: 0.3625	LR: 0.020000
Training Epoch: 11 [42496/47500]	Loss: 0.4654	LR: 0.020000
Training Epoch: 11 [42752/47500]	Loss: 0.2779	LR: 0.020000
Training Epoch: 11 [43008/47500]	Loss: 0.2768	LR: 0.020000
Training Epoch: 11 [43264/47500]	Loss: 0.3157	LR: 0.020000
Training Epoch: 11 [43520/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 11 [43776/47500]	Loss: 0.2728	LR: 0.020000
Training Epoch: 11 [44032/47500]	Loss: 0.3941	LR: 0.020000
Training Epoch: 11 [44288/47500]	Loss: 0.3392	LR: 0.020000
Training Epoch: 11 [44544/47500]	Loss: 0.3996	LR: 0.020000
Training Epoch: 11 [44800/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 11 [45056/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 11 [45312/47500]	Loss: 0.3557	LR: 0.020000
Training Epoch: 11 [45568/47500]	Loss: 0.3493	LR: 0.020000
Training Epoch: 11 [45824/47500]	Loss: 0.3190	LR: 0.020000
Training Epoch: 11 [46080/47500]	Loss: 0.3339	LR: 0.020000
Training Epoch: 11 [46336/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 11 [46592/47500]	Loss: 0.3299	LR: 0.020000
Training Epoch: 11 [46848/47500]	Loss: 0.2970	LR: 0.020000
Training Epoch: 11 [47104/47500]	Loss: 0.3730	LR: 0.020000
Training Epoch: 11 [47360/47500]	Loss: 0.3884	LR: 0.020000
Training Epoch: 11 [47500/47500]	Loss: 0.3843	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3603, Train Accuracy: 0.8754
Epoch 11 training time consumed: 28.83s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8747, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.3684	LR: 0.004000
Training Epoch: 12 [512/47500]	Loss: 0.3384	LR: 0.004000
Training Epoch: 12 [768/47500]	Loss: 0.3035	LR: 0.004000
Training Epoch: 12 [1024/47500]	Loss: 0.3631	LR: 0.004000
Training Epoch: 12 [1280/47500]	Loss: 0.3183	LR: 0.004000
Training Epoch: 12 [1536/47500]	Loss: 0.4167	LR: 0.004000
Training Epoch: 12 [1792/47500]	Loss: 0.3011	LR: 0.004000
Training Epoch: 12 [2048/47500]	Loss: 0.2942	LR: 0.004000
Training Epoch: 12 [2304/47500]	Loss: 0.2443	LR: 0.004000
Training Epoch: 12 [2560/47500]	Loss: 0.2705	LR: 0.004000
Training Epoch: 12 [2816/47500]	Loss: 0.2875	LR: 0.004000
Training Epoch: 12 [3072/47500]	Loss: 0.2948	LR: 0.004000
Training Epoch: 12 [3328/47500]	Loss: 0.3783	LR: 0.004000
Training Epoch: 12 [3584/47500]	Loss: 0.3068	LR: 0.004000
Training Epoch: 12 [3840/47500]	Loss: 0.3121	LR: 0.004000
Training Epoch: 12 [4096/47500]	Loss: 0.2793	LR: 0.004000
Training Epoch: 12 [4352/47500]	Loss: 0.3051	LR: 0.004000
Training Epoch: 12 [4608/47500]	Loss: 0.3719	LR: 0.004000
Training Epoch: 12 [4864/47500]	Loss: 0.3498	LR: 0.004000
Training Epoch: 12 [5120/47500]	Loss: 0.4067	LR: 0.004000
Training Epoch: 12 [5376/47500]	Loss: 0.2904	LR: 0.004000
Training Epoch: 12 [5632/47500]	Loss: 0.2787	LR: 0.004000
Training Epoch: 12 [5888/47500]	Loss: 0.2764	LR: 0.004000
Training Epoch: 12 [6144/47500]	Loss: 0.2903	LR: 0.004000
Training Epoch: 12 [6400/47500]	Loss: 0.3126	LR: 0.004000
Training Epoch: 12 [6656/47500]	Loss: 0.3494	LR: 0.004000
Training Epoch: 12 [6912/47500]	Loss: 0.3262	LR: 0.004000
Training Epoch: 12 [7168/47500]	Loss: 0.3028	LR: 0.004000
Training Epoch: 12 [7424/47500]	Loss: 0.3267	LR: 0.004000
Training Epoch: 12 [7680/47500]	Loss: 0.2778	LR: 0.004000
Training Epoch: 12 [7936/47500]	Loss: 0.2487	LR: 0.004000
Training Epoch: 12 [8192/47500]	Loss: 0.3111	LR: 0.004000
Training Epoch: 12 [8448/47500]	Loss: 0.3584	LR: 0.004000
Training Epoch: 12 [8704/47500]	Loss: 0.2602	LR: 0.004000
Training Epoch: 12 [8960/47500]	Loss: 0.2359	LR: 0.004000
Training Epoch: 12 [9216/47500]	Loss: 0.3773	LR: 0.004000
Training Epoch: 12 [9472/47500]	Loss: 0.3795	LR: 0.004000
Training Epoch: 12 [9728/47500]	Loss: 0.2726	LR: 0.004000
Training Epoch: 12 [9984/47500]	Loss: 0.2535	LR: 0.004000
Training Epoch: 12 [10240/47500]	Loss: 0.2865	LR: 0.004000
Training Epoch: 12 [10496/47500]	Loss: 0.2713	LR: 0.004000
Training Epoch: 12 [10752/47500]	Loss: 0.2957	LR: 0.004000
Training Epoch: 12 [11008/47500]	Loss: 0.2735	LR: 0.004000
Training Epoch: 12 [11264/47500]	Loss: 0.3011	LR: 0.004000
Training Epoch: 12 [11520/47500]	Loss: 0.3954	LR: 0.004000
Training Epoch: 12 [11776/47500]	Loss: 0.2695	LR: 0.004000
Training Epoch: 12 [12032/47500]	Loss: 0.2987	LR: 0.004000
Training Epoch: 12 [12288/47500]	Loss: 0.3300	LR: 0.004000
Training Epoch: 12 [12544/47500]	Loss: 0.3595	LR: 0.004000
Training Epoch: 12 [12800/47500]	Loss: 0.3168	LR: 0.004000
Training Epoch: 12 [13056/47500]	Loss: 0.3350	LR: 0.004000
Training Epoch: 12 [13312/47500]	Loss: 0.2967	LR: 0.004000
Training Epoch: 12 [13568/47500]	Loss: 0.3424	LR: 0.004000
Training Epoch: 12 [13824/47500]	Loss: 0.3319	LR: 0.004000
Training Epoch: 12 [14080/47500]	Loss: 0.3084	LR: 0.004000
Training Epoch: 12 [14336/47500]	Loss: 0.2947	LR: 0.004000
Training Epoch: 12 [14592/47500]	Loss: 0.2435	LR: 0.004000
Training Epoch: 12 [14848/47500]	Loss: 0.2423	LR: 0.004000
Training Epoch: 12 [15104/47500]	Loss: 0.2821	LR: 0.004000
Training Epoch: 12 [15360/47500]	Loss: 0.3099	LR: 0.004000
Training Epoch: 12 [15616/47500]	Loss: 0.3560	LR: 0.004000
Training Epoch: 12 [15872/47500]	Loss: 0.2567	LR: 0.004000
Training Epoch: 12 [16128/47500]	Loss: 0.3001	LR: 0.004000
Training Epoch: 12 [16384/47500]	Loss: 0.2669	LR: 0.004000
Training Epoch: 12 [16640/47500]	Loss: 0.2983	LR: 0.004000
Training Epoch: 12 [16896/47500]	Loss: 0.3437	LR: 0.004000
Training Epoch: 12 [17152/47500]	Loss: 0.3395	LR: 0.004000
Training Epoch: 12 [17408/47500]	Loss: 0.2626	LR: 0.004000
Training Epoch: 12 [17664/47500]	Loss: 0.2674	LR: 0.004000
Training Epoch: 12 [17920/47500]	Loss: 0.4010	LR: 0.004000
Training Epoch: 12 [18176/47500]	Loss: 0.3700	LR: 0.004000
Training Epoch: 12 [18432/47500]	Loss: 0.2842	LR: 0.004000
Training Epoch: 12 [18688/47500]	Loss: 0.3249	LR: 0.004000
Training Epoch: 12 [18944/47500]	Loss: 0.3069	LR: 0.004000
Training Epoch: 12 [19200/47500]	Loss: 0.3584	LR: 0.004000
Training Epoch: 12 [19456/47500]	Loss: 0.3455	LR: 0.004000
Training Epoch: 12 [19712/47500]	Loss: 0.2890	LR: 0.004000
Training Epoch: 12 [19968/47500]	Loss: 0.3014	LR: 0.004000
Training Epoch: 12 [20224/47500]	Loss: 0.2937	LR: 0.004000
Training Epoch: 12 [20480/47500]	Loss: 0.2519	LR: 0.004000
Training Epoch: 12 [20736/47500]	Loss: 0.3110	LR: 0.004000
Training Epoch: 12 [20992/47500]	Loss: 0.3457	LR: 0.004000
Training Epoch: 12 [21248/47500]	Loss: 0.3629	LR: 0.004000
Training Epoch: 12 [21504/47500]	Loss: 0.2943	LR: 0.004000
Training Epoch: 12 [21760/47500]	Loss: 0.3010	LR: 0.004000
Training Epoch: 12 [22016/47500]	Loss: 0.4159	LR: 0.004000
Training Epoch: 12 [22272/47500]	Loss: 0.2321	LR: 0.004000
Training Epoch: 12 [22528/47500]	Loss: 0.4006	LR: 0.004000
Training Epoch: 12 [22784/47500]	Loss: 0.3205	LR: 0.004000
Training Epoch: 12 [23040/47500]	Loss: 0.3494	LR: 0.004000
Training Epoch: 12 [23296/47500]	Loss: 0.2896	LR: 0.004000
Training Epoch: 12 [23552/47500]	Loss: 0.3634	LR: 0.004000
Training Epoch: 12 [23808/47500]	Loss: 0.2637	LR: 0.004000
Training Epoch: 12 [24064/47500]	Loss: 0.2612	LR: 0.004000
Training Epoch: 12 [24320/47500]	Loss: 0.3546	LR: 0.004000
Training Epoch: 12 [24576/47500]	Loss: 0.2743	LR: 0.004000
Training Epoch: 12 [24832/47500]	Loss: 0.2873	LR: 0.004000
Training Epoch: 12 [25088/47500]	Loss: 0.2858	LR: 0.004000
Training Epoch: 12 [25344/47500]	Loss: 0.3274	LR: 0.004000
Training Epoch: 12 [25600/47500]	Loss: 0.2600	LR: 0.004000
Training Epoch: 12 [25856/47500]	Loss: 0.2614	LR: 0.004000
Training Epoch: 12 [26112/47500]	Loss: 0.4275	LR: 0.004000
Training Epoch: 12 [26368/47500]	Loss: 0.3113	LR: 0.004000
Training Epoch: 12 [26624/47500]	Loss: 0.3321	LR: 0.004000
Training Epoch: 12 [26880/47500]	Loss: 0.2333	LR: 0.004000
Training Epoch: 12 [27136/47500]	Loss: 0.3191	LR: 0.004000
Training Epoch: 12 [27392/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 12 [27648/47500]	Loss: 0.3761	LR: 0.004000
Training Epoch: 12 [27904/47500]	Loss: 0.3896	LR: 0.004000
Training Epoch: 12 [28160/47500]	Loss: 0.4035	LR: 0.004000
Training Epoch: 12 [28416/47500]	Loss: 0.3806	LR: 0.004000
Training Epoch: 12 [28672/47500]	Loss: 0.2937	LR: 0.004000
Training Epoch: 12 [28928/47500]	Loss: 0.3665	LR: 0.004000
Training Epoch: 12 [29184/47500]	Loss: 0.3219	LR: 0.004000
Training Epoch: 12 [29440/47500]	Loss: 0.2283	LR: 0.004000
Training Epoch: 12 [29696/47500]	Loss: 0.3405	LR: 0.004000
Training Epoch: 12 [29952/47500]	Loss: 0.3047	LR: 0.004000
Training Epoch: 12 [30208/47500]	Loss: 0.2329	LR: 0.004000
Training Epoch: 12 [30464/47500]	Loss: 0.2751	LR: 0.004000
Training Epoch: 12 [30720/47500]	Loss: 0.3522	LR: 0.004000
Training Epoch: 12 [30976/47500]	Loss: 0.3415	LR: 0.004000
Training Epoch: 12 [31232/47500]	Loss: 0.3213	LR: 0.004000
Training Epoch: 12 [31488/47500]	Loss: 0.2817	LR: 0.004000
Training Epoch: 12 [31744/47500]	Loss: 0.3039	LR: 0.004000
Training Epoch: 12 [32000/47500]	Loss: 0.2761	LR: 0.004000
Training Epoch: 12 [32256/47500]	Loss: 0.3513	LR: 0.004000
Training Epoch: 12 [32512/47500]	Loss: 0.3070	LR: 0.004000
Training Epoch: 12 [32768/47500]	Loss: 0.2556	LR: 0.004000
Training Epoch: 12 [33024/47500]	Loss: 0.3045	LR: 0.004000
Training Epoch: 12 [33280/47500]	Loss: 0.3289	LR: 0.004000
Training Epoch: 12 [33536/47500]	Loss: 0.3423	LR: 0.004000
Training Epoch: 12 [33792/47500]	Loss: 0.2744	LR: 0.004000
Training Epoch: 12 [34048/47500]	Loss: 0.2825	LR: 0.004000
Training Epoch: 12 [34304/47500]	Loss: 0.2663	LR: 0.004000
Training Epoch: 12 [34560/47500]	Loss: 0.3586	LR: 0.004000
Training Epoch: 12 [34816/47500]	Loss: 0.2742	LR: 0.004000
Training Epoch: 12 [35072/47500]	Loss: 0.3129	LR: 0.004000
Training Epoch: 12 [35328/47500]	Loss: 0.3321	LR: 0.004000
Training Epoch: 12 [35584/47500]	Loss: 0.3384	LR: 0.004000
Training Epoch: 12 [35840/47500]	Loss: 0.2575	LR: 0.004000
Training Epoch: 12 [36096/47500]	Loss: 0.3140	LR: 0.004000
Training Epoch: 12 [36352/47500]	Loss: 0.3044	LR: 0.004000
Training Epoch: 12 [36608/47500]	Loss: 0.3788	LR: 0.004000
Training Epoch: 12 [36864/47500]	Loss: 0.2985	LR: 0.004000
Training Epoch: 12 [37120/47500]	Loss: 0.3047	LR: 0.004000
Training Epoch: 12 [37376/47500]	Loss: 0.4151	LR: 0.004000
Training Epoch: 12 [37632/47500]	Loss: 0.3662	LR: 0.004000
Training Epoch: 12 [37888/47500]	Loss: 0.2417	LR: 0.004000
Training Epoch: 12 [38144/47500]	Loss: 0.2953	LR: 0.004000
Training Epoch: 12 [38400/47500]	Loss: 0.2605	LR: 0.004000
Training Epoch: 12 [38656/47500]	Loss: 0.3545	LR: 0.004000
Training Epoch: 12 [38912/47500]	Loss: 0.2705	LR: 0.004000
Training Epoch: 12 [39168/47500]	Loss: 0.3484	LR: 0.004000
Training Epoch: 12 [39424/47500]	Loss: 0.2574	LR: 0.004000
Training Epoch: 12 [39680/47500]	Loss: 0.3266	LR: 0.004000
Training Epoch: 12 [39936/47500]	Loss: 0.3631	LR: 0.004000
Training Epoch: 12 [40192/47500]	Loss: 0.3079	LR: 0.004000
Training Epoch: 12 [40448/47500]	Loss: 0.3456	LR: 0.004000
Training Epoch: 12 [40704/47500]	Loss: 0.3464	LR: 0.004000
Training Epoch: 12 [40960/47500]	Loss: 0.3673	LR: 0.004000
Training Epoch: 12 [41216/47500]	Loss: 0.2861	LR: 0.004000
Training Epoch: 12 [41472/47500]	Loss: 0.2928	LR: 0.004000
Training Epoch: 12 [41728/47500]	Loss: 0.2688	LR: 0.004000
Training Epoch: 12 [41984/47500]	Loss: 0.2521	LR: 0.004000
Training Epoch: 12 [42240/47500]	Loss: 0.3356	LR: 0.004000
Training Epoch: 12 [42496/47500]	Loss: 0.3044	LR: 0.004000
Training Epoch: 12 [42752/47500]	Loss: 0.3391	LR: 0.004000
Training Epoch: 12 [43008/47500]	Loss: 0.3144	LR: 0.004000
Training Epoch: 12 [43264/47500]	Loss: 0.3469	LR: 0.004000
Training Epoch: 12 [43520/47500]	Loss: 0.2630	LR: 0.004000
Training Epoch: 12 [43776/47500]	Loss: 0.3377	LR: 0.004000
Training Epoch: 12 [44032/47500]	Loss: 0.3014	LR: 0.004000
Training Epoch: 12 [44288/47500]	Loss: 0.3077	LR: 0.004000
Training Epoch: 12 [44544/47500]	Loss: 0.2572	LR: 0.004000
Training Epoch: 12 [44800/47500]	Loss: 0.3197	LR: 0.004000
Training Epoch: 12 [45056/47500]	Loss: 0.4166	LR: 0.004000
Training Epoch: 12 [45312/47500]	Loss: 0.2527	LR: 0.004000
Training Epoch: 12 [45568/47500]	Loss: 0.3132	LR: 0.004000
Training Epoch: 12 [45824/47500]	Loss: 0.2910	LR: 0.004000
Training Epoch: 12 [46080/47500]	Loss: 0.2949	LR: 0.004000
Training Epoch: 12 [46336/47500]	Loss: 0.2903	LR: 0.004000
Training Epoch: 12 [46592/47500]	Loss: 0.2852	LR: 0.004000
Training Epoch: 12 [46848/47500]	Loss: 0.3648	LR: 0.004000
Training Epoch: 12 [47104/47500]	Loss: 0.2191	LR: 0.004000
Training Epoch: 12 [47360/47500]	Loss: 0.3261	LR: 0.004000
Training Epoch: 12 [47500/47500]	Loss: 0.3181	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3123, Train Accuracy: 0.8910
Epoch 12 training time consumed: 28.71s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8877, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-12-best.pth
Training Epoch: 13 [256/47500]	Loss: 0.2393	LR: 0.004000
Training Epoch: 13 [512/47500]	Loss: 0.2551	LR: 0.004000
Training Epoch: 13 [768/47500]	Loss: 0.2907	LR: 0.004000
Training Epoch: 13 [1024/47500]	Loss: 0.2978	LR: 0.004000
Training Epoch: 13 [1280/47500]	Loss: 0.2833	LR: 0.004000
Training Epoch: 13 [1536/47500]	Loss: 0.3668	LR: 0.004000
Training Epoch: 13 [1792/47500]	Loss: 0.2237	LR: 0.004000
Training Epoch: 13 [2048/47500]	Loss: 0.2807	LR: 0.004000
Training Epoch: 13 [2304/47500]	Loss: 0.2794	LR: 0.004000
Training Epoch: 13 [2560/47500]	Loss: 0.2641	LR: 0.004000
Training Epoch: 13 [2816/47500]	Loss: 0.2888	LR: 0.004000
Training Epoch: 13 [3072/47500]	Loss: 0.2642	LR: 0.004000
Training Epoch: 13 [3328/47500]	Loss: 0.3130	LR: 0.004000
Training Epoch: 13 [3584/47500]	Loss: 0.2733	LR: 0.004000
Training Epoch: 13 [3840/47500]	Loss: 0.3220	LR: 0.004000
Training Epoch: 13 [4096/47500]	Loss: 0.3183	LR: 0.004000
Training Epoch: 13 [4352/47500]	Loss: 0.2740	LR: 0.004000
Training Epoch: 13 [4608/47500]	Loss: 0.2387	LR: 0.004000
Training Epoch: 13 [4864/47500]	Loss: 0.3049	LR: 0.004000
Training Epoch: 13 [5120/47500]	Loss: 0.2833	LR: 0.004000
Training Epoch: 13 [5376/47500]	Loss: 0.3191	LR: 0.004000
Training Epoch: 13 [5632/47500]	Loss: 0.4562	LR: 0.004000
Training Epoch: 13 [5888/47500]	Loss: 0.2659	LR: 0.004000
Training Epoch: 13 [6144/47500]	Loss: 0.3831	LR: 0.004000
Training Epoch: 13 [6400/47500]	Loss: 0.3156	LR: 0.004000
Training Epoch: 13 [6656/47500]	Loss: 0.2849	LR: 0.004000
Training Epoch: 13 [6912/47500]	Loss: 0.3559	LR: 0.004000
Training Epoch: 13 [7168/47500]	Loss: 0.3092	LR: 0.004000
Training Epoch: 13 [7424/47500]	Loss: 0.3054	LR: 0.004000
Training Epoch: 13 [7680/47500]	Loss: 0.3489	LR: 0.004000
Training Epoch: 13 [7936/47500]	Loss: 0.2865	LR: 0.004000
Training Epoch: 13 [8192/47500]	Loss: 0.2584	LR: 0.004000
Training Epoch: 13 [8448/47500]	Loss: 0.3811	LR: 0.004000
Training Epoch: 13 [8704/47500]	Loss: 0.2502	LR: 0.004000
Training Epoch: 13 [8960/47500]	Loss: 0.2593	LR: 0.004000
Training Epoch: 13 [9216/47500]	Loss: 0.3573	LR: 0.004000
Training Epoch: 13 [9472/47500]	Loss: 0.2724	LR: 0.004000
Training Epoch: 13 [9728/47500]	Loss: 0.3257	LR: 0.004000
Training Epoch: 13 [9984/47500]	Loss: 0.2994	LR: 0.004000
Training Epoch: 13 [10240/47500]	Loss: 0.2064	LR: 0.004000
Training Epoch: 13 [10496/47500]	Loss: 0.2933	LR: 0.004000
Training Epoch: 13 [10752/47500]	Loss: 0.2918	LR: 0.004000
Training Epoch: 13 [11008/47500]	Loss: 0.2376	LR: 0.004000
Training Epoch: 13 [11264/47500]	Loss: 0.2747	LR: 0.004000
Training Epoch: 13 [11520/47500]	Loss: 0.2599	LR: 0.004000
Training Epoch: 13 [11776/47500]	Loss: 0.2702	LR: 0.004000
Training Epoch: 13 [12032/47500]	Loss: 0.3263	LR: 0.004000
Training Epoch: 13 [12288/47500]	Loss: 0.2905	LR: 0.004000
Training Epoch: 13 [12544/47500]	Loss: 0.2763	LR: 0.004000
Training Epoch: 13 [12800/47500]	Loss: 0.2595	LR: 0.004000
Training Epoch: 13 [13056/47500]	Loss: 0.3464	LR: 0.004000
Training Epoch: 13 [13312/47500]	Loss: 0.3107	LR: 0.004000
Training Epoch: 13 [13568/47500]	Loss: 0.2539	LR: 0.004000
Training Epoch: 13 [13824/47500]	Loss: 0.2731	LR: 0.004000
Training Epoch: 13 [14080/47500]	Loss: 0.2471	LR: 0.004000
Training Epoch: 13 [14336/47500]	Loss: 0.2326	LR: 0.004000
Training Epoch: 13 [14592/47500]	Loss: 0.3372	LR: 0.004000
Training Epoch: 13 [14848/47500]	Loss: 0.4351	LR: 0.004000
Training Epoch: 13 [15104/47500]	Loss: 0.2372	LR: 0.004000
Training Epoch: 13 [15360/47500]	Loss: 0.2798	LR: 0.004000
Training Epoch: 13 [15616/47500]	Loss: 0.3187	LR: 0.004000
Training Epoch: 13 [15872/47500]	Loss: 0.3404	LR: 0.004000
Training Epoch: 13 [16128/47500]	Loss: 0.2465	LR: 0.004000
Training Epoch: 13 [16384/47500]	Loss: 0.3130	LR: 0.004000
Training Epoch: 13 [16640/47500]	Loss: 0.2320	LR: 0.004000
Training Epoch: 13 [16896/47500]	Loss: 0.2521	LR: 0.004000
Training Epoch: 13 [17152/47500]	Loss: 0.3456	LR: 0.004000
Training Epoch: 13 [17408/47500]	Loss: 0.2262	LR: 0.004000
Training Epoch: 13 [17664/47500]	Loss: 0.2783	LR: 0.004000
Training Epoch: 13 [17920/47500]	Loss: 0.3163	LR: 0.004000
Training Epoch: 13 [18176/47500]	Loss: 0.3153	LR: 0.004000
Training Epoch: 13 [18432/47500]	Loss: 0.3797	LR: 0.004000
Training Epoch: 13 [18688/47500]	Loss: 0.2893	LR: 0.004000
Training Epoch: 13 [18944/47500]	Loss: 0.2647	LR: 0.004000
Training Epoch: 13 [19200/47500]	Loss: 0.2406	LR: 0.004000
Training Epoch: 13 [19456/47500]	Loss: 0.3128	LR: 0.004000
Training Epoch: 13 [19712/47500]	Loss: 0.2397	LR: 0.004000
Training Epoch: 13 [19968/47500]	Loss: 0.4099	LR: 0.004000
Training Epoch: 13 [20224/47500]	Loss: 0.2796	LR: 0.004000
Training Epoch: 13 [20480/47500]	Loss: 0.2558	LR: 0.004000
Training Epoch: 13 [20736/47500]	Loss: 0.2862	LR: 0.004000
Training Epoch: 13 [20992/47500]	Loss: 0.3456	LR: 0.004000
Training Epoch: 13 [21248/47500]	Loss: 0.3133	LR: 0.004000
Training Epoch: 13 [21504/47500]	Loss: 0.2734	LR: 0.004000
Training Epoch: 13 [21760/47500]	Loss: 0.2246	LR: 0.004000
Training Epoch: 13 [22016/47500]	Loss: 0.2862	LR: 0.004000
Training Epoch: 13 [22272/47500]	Loss: 0.2658	LR: 0.004000
Training Epoch: 13 [22528/47500]	Loss: 0.3424	LR: 0.004000
Training Epoch: 13 [22784/47500]	Loss: 0.2746	LR: 0.004000
Training Epoch: 13 [23040/47500]	Loss: 0.2994	LR: 0.004000
Training Epoch: 13 [23296/47500]	Loss: 0.2442	LR: 0.004000
Training Epoch: 13 [23552/47500]	Loss: 0.2178	LR: 0.004000
Training Epoch: 13 [23808/47500]	Loss: 0.3267	LR: 0.004000
Training Epoch: 13 [24064/47500]	Loss: 0.3731	LR: 0.004000
Training Epoch: 13 [24320/47500]	Loss: 0.2680	LR: 0.004000
Training Epoch: 13 [24576/47500]	Loss: 0.2687	LR: 0.004000
Training Epoch: 13 [24832/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 13 [25088/47500]	Loss: 0.2934	LR: 0.004000
Training Epoch: 13 [25344/47500]	Loss: 0.3835	LR: 0.004000
Training Epoch: 13 [25600/47500]	Loss: 0.2517	LR: 0.004000
Training Epoch: 13 [25856/47500]	Loss: 0.2855	LR: 0.004000
Training Epoch: 13 [26112/47500]	Loss: 0.2077	LR: 0.004000
Training Epoch: 13 [26368/47500]	Loss: 0.2431	LR: 0.004000
Training Epoch: 13 [26624/47500]	Loss: 0.2226	LR: 0.004000
Training Epoch: 13 [26880/47500]	Loss: 0.3033	LR: 0.004000
Training Epoch: 13 [27136/47500]	Loss: 0.3510	LR: 0.004000
Training Epoch: 13 [27392/47500]	Loss: 0.3008	LR: 0.004000
Training Epoch: 13 [27648/47500]	Loss: 0.3329	LR: 0.004000
Training Epoch: 13 [27904/47500]	Loss: 0.2487	LR: 0.004000
Training Epoch: 13 [28160/47500]	Loss: 0.3027	LR: 0.004000
Training Epoch: 13 [28416/47500]	Loss: 0.2876	LR: 0.004000
Training Epoch: 13 [28672/47500]	Loss: 0.3264	LR: 0.004000
Training Epoch: 13 [28928/47500]	Loss: 0.3226	LR: 0.004000
Training Epoch: 13 [29184/47500]	Loss: 0.3171	LR: 0.004000
Training Epoch: 13 [29440/47500]	Loss: 0.3314	LR: 0.004000
Training Epoch: 13 [29696/47500]	Loss: 0.3563	LR: 0.004000
Training Epoch: 13 [29952/47500]	Loss: 0.2349	LR: 0.004000
Training Epoch: 13 [30208/47500]	Loss: 0.3177	LR: 0.004000
Training Epoch: 13 [30464/47500]	Loss: 0.2731	LR: 0.004000
Training Epoch: 13 [30720/47500]	Loss: 0.2651	LR: 0.004000
Training Epoch: 13 [30976/47500]	Loss: 0.3153	LR: 0.004000
Training Epoch: 13 [31232/47500]	Loss: 0.3130	LR: 0.004000
Training Epoch: 13 [31488/47500]	Loss: 0.2830	LR: 0.004000
Training Epoch: 13 [31744/47500]	Loss: 0.4263	LR: 0.004000
Training Epoch: 13 [32000/47500]	Loss: 0.3803	LR: 0.004000
Training Epoch: 13 [32256/47500]	Loss: 0.3099	LR: 0.004000
Training Epoch: 13 [32512/47500]	Loss: 0.2745	LR: 0.004000
Training Epoch: 13 [32768/47500]	Loss: 0.2917	LR: 0.004000
Training Epoch: 13 [33024/47500]	Loss: 0.2270	LR: 0.004000
Training Epoch: 13 [33280/47500]	Loss: 0.2127	LR: 0.004000
Training Epoch: 13 [33536/47500]	Loss: 0.3398	LR: 0.004000
Training Epoch: 13 [33792/47500]	Loss: 0.2960	LR: 0.004000
Training Epoch: 13 [34048/47500]	Loss: 0.3508	LR: 0.004000
Training Epoch: 13 [34304/47500]	Loss: 0.2601	LR: 0.004000
Training Epoch: 13 [34560/47500]	Loss: 0.3474	LR: 0.004000
Training Epoch: 13 [34816/47500]	Loss: 0.3072	LR: 0.004000
Training Epoch: 13 [35072/47500]	Loss: 0.3008	LR: 0.004000
Training Epoch: 13 [35328/47500]	Loss: 0.2837	LR: 0.004000
Training Epoch: 13 [35584/47500]	Loss: 0.3344	LR: 0.004000
Training Epoch: 13 [35840/47500]	Loss: 0.2720	LR: 0.004000
Training Epoch: 13 [36096/47500]	Loss: 0.3054	LR: 0.004000
Training Epoch: 13 [36352/47500]	Loss: 0.2924	LR: 0.004000
Training Epoch: 13 [36608/47500]	Loss: 0.3176	LR: 0.004000
Training Epoch: 13 [36864/47500]	Loss: 0.4140	LR: 0.004000
Training Epoch: 13 [37120/47500]	Loss: 0.3028	LR: 0.004000
Training Epoch: 13 [37376/47500]	Loss: 0.2733	LR: 0.004000
Training Epoch: 13 [37632/47500]	Loss: 0.2861	LR: 0.004000
Training Epoch: 13 [37888/47500]	Loss: 0.3200	LR: 0.004000
Training Epoch: 13 [38144/47500]	Loss: 0.3164	LR: 0.004000
Training Epoch: 13 [38400/47500]	Loss: 0.2618	LR: 0.004000
Training Epoch: 13 [38656/47500]	Loss: 0.2699	LR: 0.004000
Training Epoch: 13 [38912/47500]	Loss: 0.3208	LR: 0.004000
Training Epoch: 13 [39168/47500]	Loss: 0.2699	LR: 0.004000
Training Epoch: 13 [39424/47500]	Loss: 0.2614	LR: 0.004000
Training Epoch: 13 [39680/47500]	Loss: 0.2757	LR: 0.004000
Training Epoch: 13 [39936/47500]	Loss: 0.2822	LR: 0.004000
Training Epoch: 13 [40192/47500]	Loss: 0.2132	LR: 0.004000
Training Epoch: 13 [40448/47500]	Loss: 0.3023	LR: 0.004000
Training Epoch: 13 [40704/47500]	Loss: 0.3483	LR: 0.004000
Training Epoch: 13 [40960/47500]	Loss: 0.3616	LR: 0.004000
Training Epoch: 13 [41216/47500]	Loss: 0.2963	LR: 0.004000
Training Epoch: 13 [41472/47500]	Loss: 0.4233	LR: 0.004000
Training Epoch: 13 [41728/47500]	Loss: 0.3111	LR: 0.004000
Training Epoch: 13 [41984/47500]	Loss: 0.3119	LR: 0.004000
Training Epoch: 13 [42240/47500]	Loss: 0.3026	LR: 0.004000
Training Epoch: 13 [42496/47500]	Loss: 0.2869	LR: 0.004000
Training Epoch: 13 [42752/47500]	Loss: 0.2266	LR: 0.004000
Training Epoch: 13 [43008/47500]	Loss: 0.2282	LR: 0.004000
Training Epoch: 13 [43264/47500]	Loss: 0.2775	LR: 0.004000
Training Epoch: 13 [43520/47500]	Loss: 0.2820	LR: 0.004000
Training Epoch: 13 [43776/47500]	Loss: 0.3419	LR: 0.004000
Training Epoch: 13 [44032/47500]	Loss: 0.2951	LR: 0.004000
Training Epoch: 13 [44288/47500]	Loss: 0.3359	LR: 0.004000
Training Epoch: 13 [44544/47500]	Loss: 0.3253	LR: 0.004000
Training Epoch: 13 [44800/47500]	Loss: 0.3366	LR: 0.004000
Training Epoch: 13 [45056/47500]	Loss: 0.3249	LR: 0.004000
Training Epoch: 13 [45312/47500]	Loss: 0.2745	LR: 0.004000
Training Epoch: 13 [45568/47500]	Loss: 0.2469	LR: 0.004000
Training Epoch: 13 [45824/47500]	Loss: 0.3851	LR: 0.004000
Training Epoch: 13 [46080/47500]	Loss: 0.2782	LR: 0.004000
Training Epoch: 13 [46336/47500]	Loss: 0.2550	LR: 0.004000
Training Epoch: 13 [46592/47500]	Loss: 0.2871	LR: 0.004000
Training Epoch: 13 [46848/47500]	Loss: 0.2778	LR: 0.004000
Training Epoch: 13 [47104/47500]	Loss: 0.3140	LR: 0.004000
Training Epoch: 13 [47360/47500]	Loss: 0.2702	LR: 0.004000
Training Epoch: 13 [47500/47500]	Loss: 0.2851	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2962, Train Accuracy: 0.8963
Epoch 13 training time consumed: 28.74s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8867, Time consumed:0.85s
Training Epoch: 14 [256/47500]	Loss: 0.2358	LR: 0.004000
Training Epoch: 14 [512/47500]	Loss: 0.2474	LR: 0.004000
Training Epoch: 14 [768/47500]	Loss: 0.2967	LR: 0.004000
Training Epoch: 14 [1024/47500]	Loss: 0.3618	LR: 0.004000
Training Epoch: 14 [1280/47500]	Loss: 0.2603	LR: 0.004000
Training Epoch: 14 [1536/47500]	Loss: 0.2203	LR: 0.004000
Training Epoch: 14 [1792/47500]	Loss: 0.3042	LR: 0.004000
Training Epoch: 14 [2048/47500]	Loss: 0.3650	LR: 0.004000
Training Epoch: 14 [2304/47500]	Loss: 0.2864	LR: 0.004000
Training Epoch: 14 [2560/47500]	Loss: 0.3162	LR: 0.004000
Training Epoch: 14 [2816/47500]	Loss: 0.3715	LR: 0.004000
Training Epoch: 14 [3072/47500]	Loss: 0.3299	LR: 0.004000
Training Epoch: 14 [3328/47500]	Loss: 0.2568	LR: 0.004000
Training Epoch: 14 [3584/47500]	Loss: 0.3268	LR: 0.004000
Training Epoch: 14 [3840/47500]	Loss: 0.3482	LR: 0.004000
Training Epoch: 14 [4096/47500]	Loss: 0.3128	LR: 0.004000
Training Epoch: 14 [4352/47500]	Loss: 0.3107	LR: 0.004000
Training Epoch: 14 [4608/47500]	Loss: 0.3254	LR: 0.004000
Training Epoch: 14 [4864/47500]	Loss: 0.2735	LR: 0.004000
Training Epoch: 14 [5120/47500]	Loss: 0.3153	LR: 0.004000
Training Epoch: 14 [5376/47500]	Loss: 0.3972	LR: 0.004000
Training Epoch: 14 [5632/47500]	Loss: 0.2845	LR: 0.004000
Training Epoch: 14 [5888/47500]	Loss: 0.3180	LR: 0.004000
Training Epoch: 14 [6144/47500]	Loss: 0.2734	LR: 0.004000
Training Epoch: 14 [6400/47500]	Loss: 0.3016	LR: 0.004000
Training Epoch: 14 [6656/47500]	Loss: 0.3235	LR: 0.004000
Training Epoch: 14 [6912/47500]	Loss: 0.2742	LR: 0.004000
Training Epoch: 14 [7168/47500]	Loss: 0.2451	LR: 0.004000
Training Epoch: 14 [7424/47500]	Loss: 0.3614	LR: 0.004000
Training Epoch: 14 [7680/47500]	Loss: 0.2697	LR: 0.004000
Training Epoch: 14 [7936/47500]	Loss: 0.2466	LR: 0.004000
Training Epoch: 14 [8192/47500]	Loss: 0.2768	LR: 0.004000
Training Epoch: 14 [8448/47500]	Loss: 0.2799	LR: 0.004000
Training Epoch: 14 [8704/47500]	Loss: 0.2842	LR: 0.004000
Training Epoch: 14 [8960/47500]	Loss: 0.2628	LR: 0.004000
Training Epoch: 14 [9216/47500]	Loss: 0.2229	LR: 0.004000
Training Epoch: 14 [9472/47500]	Loss: 0.2908	LR: 0.004000
Training Epoch: 14 [9728/47500]	Loss: 0.2733	LR: 0.004000
Training Epoch: 14 [9984/47500]	Loss: 0.2567	LR: 0.004000
Training Epoch: 14 [10240/47500]	Loss: 0.2738	LR: 0.004000
Training Epoch: 14 [10496/47500]	Loss: 0.2831	LR: 0.004000
Training Epoch: 14 [10752/47500]	Loss: 0.2660	LR: 0.004000
Training Epoch: 14 [11008/47500]	Loss: 0.3074	LR: 0.004000
Training Epoch: 14 [11264/47500]	Loss: 0.3327	LR: 0.004000
Training Epoch: 14 [11520/47500]	Loss: 0.2697	LR: 0.004000
Training Epoch: 14 [11776/47500]	Loss: 0.2090	LR: 0.004000
Training Epoch: 14 [12032/47500]	Loss: 0.2926	LR: 0.004000
Training Epoch: 14 [12288/47500]	Loss: 0.3274	LR: 0.004000
Training Epoch: 14 [12544/47500]	Loss: 0.2641	LR: 0.004000
Training Epoch: 14 [12800/47500]	Loss: 0.2275	LR: 0.004000
Training Epoch: 14 [13056/47500]	Loss: 0.2930	LR: 0.004000
Training Epoch: 14 [13312/47500]	Loss: 0.3306	LR: 0.004000
Training Epoch: 14 [13568/47500]	Loss: 0.3316	LR: 0.004000
Training Epoch: 14 [13824/47500]	Loss: 0.2688	LR: 0.004000
Training Epoch: 14 [14080/47500]	Loss: 0.2529	LR: 0.004000
Training Epoch: 14 [14336/47500]	Loss: 0.3403	LR: 0.004000
Training Epoch: 14 [14592/47500]	Loss: 0.2827	LR: 0.004000
Training Epoch: 14 [14848/47500]	Loss: 0.3654	LR: 0.004000
Training Epoch: 14 [15104/47500]	Loss: 0.1720	LR: 0.004000
Training Epoch: 14 [15360/47500]	Loss: 0.3379	LR: 0.004000
Training Epoch: 14 [15616/47500]	Loss: 0.3425	LR: 0.004000
Training Epoch: 14 [15872/47500]	Loss: 0.3006	LR: 0.004000
Training Epoch: 14 [16128/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 14 [16384/47500]	Loss: 0.3443	LR: 0.004000
Training Epoch: 14 [16640/47500]	Loss: 0.2285	LR: 0.004000
Training Epoch: 14 [16896/47500]	Loss: 0.3114	LR: 0.004000
Training Epoch: 14 [17152/47500]	Loss: 0.2367	LR: 0.004000
Training Epoch: 14 [17408/47500]	Loss: 0.2692	LR: 0.004000
Training Epoch: 14 [17664/47500]	Loss: 0.2457	LR: 0.004000
Training Epoch: 14 [17920/47500]	Loss: 0.3086	LR: 0.004000
Training Epoch: 14 [18176/47500]	Loss: 0.2929	LR: 0.004000
Training Epoch: 14 [18432/47500]	Loss: 0.2738	LR: 0.004000
Training Epoch: 14 [18688/47500]	Loss: 0.3930	LR: 0.004000
Training Epoch: 14 [18944/47500]	Loss: 0.2681	LR: 0.004000
Training Epoch: 14 [19200/47500]	Loss: 0.3204	LR: 0.004000
Training Epoch: 14 [19456/47500]	Loss: 0.3012	LR: 0.004000
Training Epoch: 14 [19712/47500]	Loss: 0.3667	LR: 0.004000
Training Epoch: 14 [19968/47500]	Loss: 0.3426	LR: 0.004000
Training Epoch: 14 [20224/47500]	Loss: 0.2997	LR: 0.004000
Training Epoch: 14 [20480/47500]	Loss: 0.3411	LR: 0.004000
Training Epoch: 14 [20736/47500]	Loss: 0.3609	LR: 0.004000
Training Epoch: 14 [20992/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 14 [21248/47500]	Loss: 0.2800	LR: 0.004000
Training Epoch: 14 [21504/47500]	Loss: 0.3152	LR: 0.004000
Training Epoch: 14 [21760/47500]	Loss: 0.2942	LR: 0.004000
Training Epoch: 14 [22016/47500]	Loss: 0.2888	LR: 0.004000
Training Epoch: 14 [22272/47500]	Loss: 0.3156	LR: 0.004000
Training Epoch: 14 [22528/47500]	Loss: 0.3381	LR: 0.004000
Training Epoch: 14 [22784/47500]	Loss: 0.2506	LR: 0.004000
Training Epoch: 14 [23040/47500]	Loss: 0.2686	LR: 0.004000
Training Epoch: 14 [23296/47500]	Loss: 0.3768	LR: 0.004000
Training Epoch: 14 [23552/47500]	Loss: 0.2221	LR: 0.004000
Training Epoch: 14 [23808/47500]	Loss: 0.3724	LR: 0.004000
Training Epoch: 14 [24064/47500]	Loss: 0.3537	LR: 0.004000
Training Epoch: 14 [24320/47500]	Loss: 0.2377	LR: 0.004000
Training Epoch: 14 [24576/47500]	Loss: 0.3075	LR: 0.004000
Training Epoch: 14 [24832/47500]	Loss: 0.3557	LR: 0.004000
Training Epoch: 14 [25088/47500]	Loss: 0.2259	LR: 0.004000
Training Epoch: 14 [25344/47500]	Loss: 0.3258	LR: 0.004000
Training Epoch: 14 [25600/47500]	Loss: 0.3261	LR: 0.004000
Training Epoch: 14 [25856/47500]	Loss: 0.3338	LR: 0.004000
Training Epoch: 14 [26112/47500]	Loss: 0.2371	LR: 0.004000
Training Epoch: 14 [26368/47500]	Loss: 0.3152	LR: 0.004000
Training Epoch: 14 [26624/47500]	Loss: 0.2825	LR: 0.004000
Training Epoch: 14 [26880/47500]	Loss: 0.2983	LR: 0.004000
Training Epoch: 14 [27136/47500]	Loss: 0.2650	LR: 0.004000
Training Epoch: 14 [27392/47500]	Loss: 0.3574	LR: 0.004000
Training Epoch: 14 [27648/47500]	Loss: 0.2059	LR: 0.004000
Training Epoch: 14 [27904/47500]	Loss: 0.2873	LR: 0.004000
Training Epoch: 14 [28160/47500]	Loss: 0.2474	LR: 0.004000
Training Epoch: 14 [28416/47500]	Loss: 0.3173	LR: 0.004000
Training Epoch: 14 [28672/47500]	Loss: 0.3237	LR: 0.004000
Training Epoch: 14 [28928/47500]	Loss: 0.2711	LR: 0.004000
Training Epoch: 14 [29184/47500]	Loss: 0.2744	LR: 0.004000
Training Epoch: 14 [29440/47500]	Loss: 0.3779	LR: 0.004000
Training Epoch: 14 [29696/47500]	Loss: 0.2903	LR: 0.004000
Training Epoch: 14 [29952/47500]	Loss: 0.2173	LR: 0.004000
Training Epoch: 14 [30208/47500]	Loss: 0.3285	LR: 0.004000
Training Epoch: 14 [30464/47500]	Loss: 0.3813	LR: 0.004000
Training Epoch: 14 [30720/47500]	Loss: 0.2252	LR: 0.004000
Training Epoch: 14 [30976/47500]	Loss: 0.2431	LR: 0.004000
Training Epoch: 14 [31232/47500]	Loss: 0.2888	LR: 0.004000
Training Epoch: 14 [31488/47500]	Loss: 0.3081	LR: 0.004000
Training Epoch: 14 [31744/47500]	Loss: 0.3885	LR: 0.004000
Training Epoch: 14 [32000/47500]	Loss: 0.2828	LR: 0.004000
Training Epoch: 14 [32256/47500]	Loss: 0.2995	LR: 0.004000
Training Epoch: 14 [32512/47500]	Loss: 0.2526	LR: 0.004000
Training Epoch: 14 [32768/47500]	Loss: 0.3808	LR: 0.004000
Training Epoch: 14 [33024/47500]	Loss: 0.2656	LR: 0.004000
Training Epoch: 14 [33280/47500]	Loss: 0.2599	LR: 0.004000
Training Epoch: 14 [33536/47500]	Loss: 0.2924	LR: 0.004000
Training Epoch: 14 [33792/47500]	Loss: 0.2949	LR: 0.004000
Training Epoch: 14 [34048/47500]	Loss: 0.2688	LR: 0.004000
Training Epoch: 14 [34304/47500]	Loss: 0.2323	LR: 0.004000
Training Epoch: 14 [34560/47500]	Loss: 0.2828	LR: 0.004000
Training Epoch: 14 [34816/47500]	Loss: 0.2784	LR: 0.004000
Training Epoch: 14 [35072/47500]	Loss: 0.2968	LR: 0.004000
Training Epoch: 14 [35328/47500]	Loss: 0.3119	LR: 0.004000
Training Epoch: 14 [35584/47500]	Loss: 0.2556	LR: 0.004000
Training Epoch: 14 [35840/47500]	Loss: 0.2827	LR: 0.004000
Training Epoch: 14 [36096/47500]	Loss: 0.2849	LR: 0.004000
Training Epoch: 14 [36352/47500]	Loss: 0.2380	LR: 0.004000
Training Epoch: 14 [36608/47500]	Loss: 0.3087	LR: 0.004000
Training Epoch: 14 [36864/47500]	Loss: 0.2954	LR: 0.004000
Training Epoch: 14 [37120/47500]	Loss: 0.2816	LR: 0.004000
Training Epoch: 14 [37376/47500]	Loss: 0.2044	LR: 0.004000
Training Epoch: 14 [37632/47500]	Loss: 0.2720	LR: 0.004000
Training Epoch: 14 [37888/47500]	Loss: 0.2778	LR: 0.004000
Training Epoch: 14 [38144/47500]	Loss: 0.2876	LR: 0.004000
Training Epoch: 14 [38400/47500]	Loss: 0.2522	LR: 0.004000
Training Epoch: 14 [38656/47500]	Loss: 0.2743	LR: 0.004000
Training Epoch: 14 [38912/47500]	Loss: 0.2766	LR: 0.004000
Training Epoch: 14 [39168/47500]	Loss: 0.2493	LR: 0.004000
Training Epoch: 14 [39424/47500]	Loss: 0.2550	LR: 0.004000
Training Epoch: 14 [39680/47500]	Loss: 0.2883	LR: 0.004000
Training Epoch: 14 [39936/47500]	Loss: 0.2987	LR: 0.004000
Training Epoch: 14 [40192/47500]	Loss: 0.3243	LR: 0.004000
Training Epoch: 14 [40448/47500]	Loss: 0.2934	LR: 0.004000
Training Epoch: 14 [40704/47500]	Loss: 0.3162	LR: 0.004000
Training Epoch: 14 [40960/47500]	Loss: 0.2981	LR: 0.004000
Training Epoch: 14 [41216/47500]	Loss: 0.2349	LR: 0.004000
Training Epoch: 14 [41472/47500]	Loss: 0.3351	LR: 0.004000
Training Epoch: 14 [41728/47500]	Loss: 0.2978	LR: 0.004000
Training Epoch: 14 [41984/47500]	Loss: 0.3467	LR: 0.004000
Training Epoch: 14 [42240/47500]	Loss: 0.3138	LR: 0.004000
Training Epoch: 14 [42496/47500]	Loss: 0.2660	LR: 0.004000
Training Epoch: 14 [42752/47500]	Loss: 0.2660	LR: 0.004000
Training Epoch: 14 [43008/47500]	Loss: 0.3332	LR: 0.004000
Training Epoch: 14 [43264/47500]	Loss: 0.2678	LR: 0.004000
Training Epoch: 14 [43520/47500]	Loss: 0.3028	LR: 0.004000
Training Epoch: 14 [43776/47500]	Loss: 0.2449	LR: 0.004000
Training Epoch: 14 [44032/47500]	Loss: 0.3346	LR: 0.004000
Training Epoch: 14 [44288/47500]	Loss: 0.2643	LR: 0.004000
Training Epoch: 14 [44544/47500]	Loss: 0.2780	LR: 0.004000
Training Epoch: 14 [44800/47500]	Loss: 0.2765	LR: 0.004000
Training Epoch: 14 [45056/47500]	Loss: 0.3193	LR: 0.004000
Training Epoch: 14 [45312/47500]	Loss: 0.2513	LR: 0.004000
Training Epoch: 14 [45568/47500]	Loss: 0.3706	LR: 0.004000
Training Epoch: 14 [45824/47500]	Loss: 0.2563	LR: 0.004000
Training Epoch: 14 [46080/47500]	Loss: 0.2616	LR: 0.004000
Training Epoch: 14 [46336/47500]	Loss: 0.2414	LR: 0.004000
Training Epoch: 14 [46592/47500]	Loss: 0.2511	LR: 0.004000
Training Epoch: 14 [46848/47500]	Loss: 0.2175	LR: 0.004000
Training Epoch: 14 [47104/47500]	Loss: 0.3346	LR: 0.004000
Training Epoch: 14 [47360/47500]	Loss: 0.2558	LR: 0.004000
Training Epoch: 14 [47500/47500]	Loss: 0.3579	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2925, Train Accuracy: 0.8977
Epoch 14 training time consumed: 29.11s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8912, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 0.2384	LR: 0.004000
Training Epoch: 15 [512/47500]	Loss: 0.3655	LR: 0.004000
Training Epoch: 15 [768/47500]	Loss: 0.2684	LR: 0.004000
Training Epoch: 15 [1024/47500]	Loss: 0.2341	LR: 0.004000
Training Epoch: 15 [1280/47500]	Loss: 0.3280	LR: 0.004000
Training Epoch: 15 [1536/47500]	Loss: 0.2620	LR: 0.004000
Training Epoch: 15 [1792/47500]	Loss: 0.2302	LR: 0.004000
Training Epoch: 15 [2048/47500]	Loss: 0.2566	LR: 0.004000
Training Epoch: 15 [2304/47500]	Loss: 0.2649	LR: 0.004000
Training Epoch: 15 [2560/47500]	Loss: 0.2739	LR: 0.004000
Training Epoch: 15 [2816/47500]	Loss: 0.2110	LR: 0.004000
Training Epoch: 15 [3072/47500]	Loss: 0.2425	LR: 0.004000
Training Epoch: 15 [3328/47500]	Loss: 0.2409	LR: 0.004000
Training Epoch: 15 [3584/47500]	Loss: 0.2877	LR: 0.004000
Training Epoch: 15 [3840/47500]	Loss: 0.3065	LR: 0.004000
Training Epoch: 15 [4096/47500]	Loss: 0.3327	LR: 0.004000
Training Epoch: 15 [4352/47500]	Loss: 0.2157	LR: 0.004000
Training Epoch: 15 [4608/47500]	Loss: 0.2276	LR: 0.004000
Training Epoch: 15 [4864/47500]	Loss: 0.2616	LR: 0.004000
Training Epoch: 15 [5120/47500]	Loss: 0.2879	LR: 0.004000
Training Epoch: 15 [5376/47500]	Loss: 0.3124	LR: 0.004000
Training Epoch: 15 [5632/47500]	Loss: 0.2268	LR: 0.004000
Training Epoch: 15 [5888/47500]	Loss: 0.2203	LR: 0.004000
Training Epoch: 15 [6144/47500]	Loss: 0.2208	LR: 0.004000
Training Epoch: 15 [6400/47500]	Loss: 0.3184	LR: 0.004000
Training Epoch: 15 [6656/47500]	Loss: 0.2282	LR: 0.004000
Training Epoch: 15 [6912/47500]	Loss: 0.3160	LR: 0.004000
Training Epoch: 15 [7168/47500]	Loss: 0.2698	LR: 0.004000
Training Epoch: 15 [7424/47500]	Loss: 0.2796	LR: 0.004000
Training Epoch: 15 [7680/47500]	Loss: 0.2296	LR: 0.004000
Training Epoch: 15 [7936/47500]	Loss: 0.3163	LR: 0.004000
Training Epoch: 15 [8192/47500]	Loss: 0.2513	LR: 0.004000
Training Epoch: 15 [8448/47500]	Loss: 0.2569	LR: 0.004000
Training Epoch: 15 [8704/47500]	Loss: 0.2732	LR: 0.004000
Training Epoch: 15 [8960/47500]	Loss: 0.2254	LR: 0.004000
Training Epoch: 15 [9216/47500]	Loss: 0.3207	LR: 0.004000
Training Epoch: 15 [9472/47500]	Loss: 0.3028	LR: 0.004000
Training Epoch: 15 [9728/47500]	Loss: 0.2307	LR: 0.004000
Training Epoch: 15 [9984/47500]	Loss: 0.2784	LR: 0.004000
Training Epoch: 15 [10240/47500]	Loss: 0.2874	LR: 0.004000
Training Epoch: 15 [10496/47500]	Loss: 0.2260	LR: 0.004000
Training Epoch: 15 [10752/47500]	Loss: 0.2504	LR: 0.004000
Training Epoch: 15 [11008/47500]	Loss: 0.3532	LR: 0.004000
Training Epoch: 15 [11264/47500]	Loss: 0.3585	LR: 0.004000
Training Epoch: 15 [11520/47500]	Loss: 0.2567	LR: 0.004000
Training Epoch: 15 [11776/47500]	Loss: 0.3031	LR: 0.004000
Training Epoch: 15 [12032/47500]	Loss: 0.2872	LR: 0.004000
Training Epoch: 15 [12288/47500]	Loss: 0.2819	LR: 0.004000
Training Epoch: 15 [12544/47500]	Loss: 0.3192	LR: 0.004000
Training Epoch: 15 [12800/47500]	Loss: 0.2675	LR: 0.004000
Training Epoch: 15 [13056/47500]	Loss: 0.2399	LR: 0.004000
Training Epoch: 15 [13312/47500]	Loss: 0.3047	LR: 0.004000
Training Epoch: 15 [13568/47500]	Loss: 0.2856	LR: 0.004000
Training Epoch: 15 [13824/47500]	Loss: 0.2455	LR: 0.004000
Training Epoch: 15 [14080/47500]	Loss: 0.2631	LR: 0.004000
Training Epoch: 15 [14336/47500]	Loss: 0.2599	LR: 0.004000
Training Epoch: 15 [14592/47500]	Loss: 0.3034	LR: 0.004000
Training Epoch: 15 [14848/47500]	Loss: 0.3769	LR: 0.004000
Training Epoch: 15 [15104/47500]	Loss: 0.3649	LR: 0.004000
Training Epoch: 15 [15360/47500]	Loss: 0.2975	LR: 0.004000
Training Epoch: 15 [15616/47500]	Loss: 0.2576	LR: 0.004000
Training Epoch: 15 [15872/47500]	Loss: 0.2687	LR: 0.004000
Training Epoch: 15 [16128/47500]	Loss: 0.3795	LR: 0.004000
Training Epoch: 15 [16384/47500]	Loss: 0.2621	LR: 0.004000
Training Epoch: 15 [16640/47500]	Loss: 0.3112	LR: 0.004000
Training Epoch: 15 [16896/47500]	Loss: 0.2944	LR: 0.004000
Training Epoch: 15 [17152/47500]	Loss: 0.2550	LR: 0.004000
Training Epoch: 15 [17408/47500]	Loss: 0.3020	LR: 0.004000
Training Epoch: 15 [17664/47500]	Loss: 0.3485	LR: 0.004000
Training Epoch: 15 [17920/47500]	Loss: 0.3039	LR: 0.004000
Training Epoch: 15 [18176/47500]	Loss: 0.2424	LR: 0.004000
Training Epoch: 15 [18432/47500]	Loss: 0.2352	LR: 0.004000
Training Epoch: 15 [18688/47500]	Loss: 0.3034	LR: 0.004000
Training Epoch: 15 [18944/47500]	Loss: 0.2207	LR: 0.004000
Training Epoch: 15 [19200/47500]	Loss: 0.2622	LR: 0.004000
Training Epoch: 15 [19456/47500]	Loss: 0.2452	LR: 0.004000
Training Epoch: 15 [19712/47500]	Loss: 0.2192	LR: 0.004000
Training Epoch: 15 [19968/47500]	Loss: 0.3324	LR: 0.004000
Training Epoch: 15 [20224/47500]	Loss: 0.2675	LR: 0.004000
Training Epoch: 15 [20480/47500]	Loss: 0.2458	LR: 0.004000
Training Epoch: 15 [20736/47500]	Loss: 0.2701	LR: 0.004000
Training Epoch: 15 [20992/47500]	Loss: 0.2633	LR: 0.004000
Training Epoch: 15 [21248/47500]	Loss: 0.2808	LR: 0.004000
Training Epoch: 15 [21504/47500]	Loss: 0.3242	LR: 0.004000
Training Epoch: 15 [21760/47500]	Loss: 0.2758	LR: 0.004000
Training Epoch: 15 [22016/47500]	Loss: 0.2837	LR: 0.004000
Training Epoch: 15 [22272/47500]	Loss: 0.3411	LR: 0.004000
Training Epoch: 15 [22528/47500]	Loss: 0.2930	LR: 0.004000
Training Epoch: 15 [22784/47500]	Loss: 0.3131	LR: 0.004000
Training Epoch: 15 [23040/47500]	Loss: 0.2939	LR: 0.004000
Training Epoch: 15 [23296/47500]	Loss: 0.2724	LR: 0.004000
Training Epoch: 15 [23552/47500]	Loss: 0.2885	LR: 0.004000
Training Epoch: 15 [23808/47500]	Loss: 0.2910	LR: 0.004000
Training Epoch: 15 [24064/47500]	Loss: 0.2669	LR: 0.004000
Training Epoch: 15 [24320/47500]	Loss: 0.3467	LR: 0.004000
Training Epoch: 15 [24576/47500]	Loss: 0.2980	LR: 0.004000
Training Epoch: 15 [24832/47500]	Loss: 0.3033	LR: 0.004000
Training Epoch: 15 [25088/47500]	Loss: 0.2428	LR: 0.004000
Training Epoch: 15 [25344/47500]	Loss: 0.3469	LR: 0.004000
Training Epoch: 15 [25600/47500]	Loss: 0.2235	LR: 0.004000
Training Epoch: 15 [25856/47500]	Loss: 0.2783	LR: 0.004000
Training Epoch: 15 [26112/47500]	Loss: 0.2845	LR: 0.004000
Training Epoch: 15 [26368/47500]	Loss: 0.3783	LR: 0.004000
Training Epoch: 15 [26624/47500]	Loss: 0.2956	LR: 0.004000
Training Epoch: 15 [26880/47500]	Loss: 0.3419	LR: 0.004000
Training Epoch: 15 [27136/47500]	Loss: 0.2637	LR: 0.004000
Training Epoch: 15 [27392/47500]	Loss: 0.2873	LR: 0.004000
Training Epoch: 15 [27648/47500]	Loss: 0.2490	LR: 0.004000
Training Epoch: 15 [27904/47500]	Loss: 0.2352	LR: 0.004000
Training Epoch: 15 [28160/47500]	Loss: 0.2544	LR: 0.004000
Training Epoch: 15 [28416/47500]	Loss: 0.2842	LR: 0.004000
Training Epoch: 15 [28672/47500]	Loss: 0.2505	LR: 0.004000
Training Epoch: 15 [28928/47500]	Loss: 0.2723	LR: 0.004000
Training Epoch: 15 [29184/47500]	Loss: 0.2350	LR: 0.004000
Training Epoch: 15 [29440/47500]	Loss: 0.2618	LR: 0.004000
Training Epoch: 15 [29696/47500]	Loss: 0.2634	LR: 0.004000
Training Epoch: 15 [29952/47500]	Loss: 0.2743	LR: 0.004000
Training Epoch: 15 [30208/47500]	Loss: 0.2733	LR: 0.004000
Training Epoch: 15 [30464/47500]	Loss: 0.2621	LR: 0.004000
Training Epoch: 15 [30720/47500]	Loss: 0.3035	LR: 0.004000
Training Epoch: 15 [30976/47500]	Loss: 0.2513	LR: 0.004000
Training Epoch: 15 [31232/47500]	Loss: 0.3491	LR: 0.004000
Training Epoch: 15 [31488/47500]	Loss: 0.2498	LR: 0.004000
Training Epoch: 15 [31744/47500]	Loss: 0.3050	LR: 0.004000
Training Epoch: 15 [32000/47500]	Loss: 0.1886	LR: 0.004000
Training Epoch: 15 [32256/47500]	Loss: 0.2896	LR: 0.004000
Training Epoch: 15 [32512/47500]	Loss: 0.2915	LR: 0.004000
Training Epoch: 15 [32768/47500]	Loss: 0.3118	LR: 0.004000
Training Epoch: 15 [33024/47500]	Loss: 0.3447	LR: 0.004000
Training Epoch: 15 [33280/47500]	Loss: 0.2909	LR: 0.004000
Training Epoch: 15 [33536/47500]	Loss: 0.2910	LR: 0.004000
Training Epoch: 15 [33792/47500]	Loss: 0.2645	LR: 0.004000
Training Epoch: 15 [34048/47500]	Loss: 0.3481	LR: 0.004000
Training Epoch: 15 [34304/47500]	Loss: 0.2506	LR: 0.004000
Training Epoch: 15 [34560/47500]	Loss: 0.3360	LR: 0.004000
Training Epoch: 15 [34816/47500]	Loss: 0.3706	LR: 0.004000
Training Epoch: 15 [35072/47500]	Loss: 0.2649	LR: 0.004000
Training Epoch: 15 [35328/47500]	Loss: 0.2759	LR: 0.004000
Training Epoch: 15 [35584/47500]	Loss: 0.2465	LR: 0.004000
Training Epoch: 15 [35840/47500]	Loss: 0.3044	LR: 0.004000
Training Epoch: 15 [36096/47500]	Loss: 0.2648	LR: 0.004000
Training Epoch: 15 [36352/47500]	Loss: 0.3543	LR: 0.004000
Training Epoch: 15 [36608/47500]	Loss: 0.3393	LR: 0.004000
Training Epoch: 15 [36864/47500]	Loss: 0.2942	LR: 0.004000
Training Epoch: 15 [37120/47500]	Loss: 0.2315	LR: 0.004000
Training Epoch: 15 [37376/47500]	Loss: 0.3056	LR: 0.004000
Training Epoch: 15 [37632/47500]	Loss: 0.2646	LR: 0.004000
Training Epoch: 15 [37888/47500]	Loss: 0.2676	LR: 0.004000
Training Epoch: 15 [38144/47500]	Loss: 0.2871	LR: 0.004000
Training Epoch: 15 [38400/47500]	Loss: 0.2751	LR: 0.004000
Training Epoch: 15 [38656/47500]	Loss: 0.2677	LR: 0.004000
Training Epoch: 15 [38912/47500]	Loss: 0.2522	LR: 0.004000
Training Epoch: 15 [39168/47500]	Loss: 0.2218	LR: 0.004000
Training Epoch: 15 [39424/47500]	Loss: 0.2781	LR: 0.004000
Training Epoch: 15 [39680/47500]	Loss: 0.2961	LR: 0.004000
Training Epoch: 15 [39936/47500]	Loss: 0.4000	LR: 0.004000
Training Epoch: 15 [40192/47500]	Loss: 0.2895	LR: 0.004000
Training Epoch: 15 [40448/47500]	Loss: 0.3725	LR: 0.004000
Training Epoch: 15 [40704/47500]	Loss: 0.2345	LR: 0.004000
Training Epoch: 15 [40960/47500]	Loss: 0.2026	LR: 0.004000
Training Epoch: 15 [41216/47500]	Loss: 0.2455	LR: 0.004000
Training Epoch: 15 [41472/47500]	Loss: 0.2435	LR: 0.004000
Training Epoch: 15 [41728/47500]	Loss: 0.3069	LR: 0.004000
Training Epoch: 15 [41984/47500]	Loss: 0.3233	LR: 0.004000
Training Epoch: 15 [42240/47500]	Loss: 0.2684	LR: 0.004000
Training Epoch: 15 [42496/47500]	Loss: 0.3105	LR: 0.004000
Training Epoch: 15 [42752/47500]	Loss: 0.3243	LR: 0.004000
Training Epoch: 15 [43008/47500]	Loss: 0.2638	LR: 0.004000
Training Epoch: 15 [43264/47500]	Loss: 0.3115	LR: 0.004000
Training Epoch: 15 [43520/47500]	Loss: 0.3280	LR: 0.004000
Training Epoch: 15 [43776/47500]	Loss: 0.3349	LR: 0.004000
Training Epoch: 15 [44032/47500]	Loss: 0.2221	LR: 0.004000
Training Epoch: 15 [44288/47500]	Loss: 0.2504	LR: 0.004000
Training Epoch: 15 [44544/47500]	Loss: 0.2536	LR: 0.004000
Training Epoch: 15 [44800/47500]	Loss: 0.3480	LR: 0.004000
Training Epoch: 15 [45056/47500]	Loss: 0.2988	LR: 0.004000
Training Epoch: 15 [45312/47500]	Loss: 0.2914	LR: 0.004000
Training Epoch: 15 [45568/47500]	Loss: 0.3883	LR: 0.004000
Training Epoch: 15 [45824/47500]	Loss: 0.2939	LR: 0.004000
Training Epoch: 15 [46080/47500]	Loss: 0.2784	LR: 0.004000
Training Epoch: 15 [46336/47500]	Loss: 0.2284	LR: 0.004000
Training Epoch: 15 [46592/47500]	Loss: 0.2475	LR: 0.004000
Training Epoch: 15 [46848/47500]	Loss: 0.3279	LR: 0.004000
Training Epoch: 15 [47104/47500]	Loss: 0.2896	LR: 0.004000
Training Epoch: 15 [47360/47500]	Loss: 0.2556	LR: 0.004000
Training Epoch: 15 [47500/47500]	Loss: 0.3374	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2825, Train Accuracy: 0.9006
Epoch 15 training time consumed: 28.95s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8899, Time consumed:0.86s
Training Epoch: 16 [256/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 16 [512/47500]	Loss: 0.3098	LR: 0.000800
Training Epoch: 16 [768/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 16 [1024/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 16 [1280/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 16 [1536/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 16 [1792/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 16 [2048/47500]	Loss: 0.2349	LR: 0.000800
Training Epoch: 16 [2304/47500]	Loss: 0.2076	LR: 0.000800
Training Epoch: 16 [2560/47500]	Loss: 0.2434	LR: 0.000800
Training Epoch: 16 [2816/47500]	Loss: 0.1998	LR: 0.000800
Training Epoch: 16 [3072/47500]	Loss: 0.2278	LR: 0.000800
Training Epoch: 16 [3328/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 16 [3584/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 16 [3840/47500]	Loss: 0.3426	LR: 0.000800
Training Epoch: 16 [4096/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 16 [4352/47500]	Loss: 0.2470	LR: 0.000800
Training Epoch: 16 [4608/47500]	Loss: 0.1929	LR: 0.000800
Training Epoch: 16 [4864/47500]	Loss: 0.3174	LR: 0.000800
Training Epoch: 16 [5120/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 16 [5376/47500]	Loss: 0.3320	LR: 0.000800
Training Epoch: 16 [5632/47500]	Loss: 0.3222	LR: 0.000800
Training Epoch: 16 [5888/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 16 [6144/47500]	Loss: 0.3118	LR: 0.000800
Training Epoch: 16 [6400/47500]	Loss: 0.2473	LR: 0.000800
Training Epoch: 16 [6656/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 16 [6912/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 16 [7168/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 16 [7424/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 16 [7680/47500]	Loss: 0.2286	LR: 0.000800
Training Epoch: 16 [7936/47500]	Loss: 0.2783	LR: 0.000800
Training Epoch: 16 [8192/47500]	Loss: 0.2558	LR: 0.000800
Training Epoch: 16 [8448/47500]	Loss: 0.2399	LR: 0.000800
Training Epoch: 16 [8704/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 16 [8960/47500]	Loss: 0.2507	LR: 0.000800
Training Epoch: 16 [9216/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 16 [9472/47500]	Loss: 0.2085	LR: 0.000800
Training Epoch: 16 [9728/47500]	Loss: 0.2637	LR: 0.000800
Training Epoch: 16 [9984/47500]	Loss: 0.3517	LR: 0.000800
Training Epoch: 16 [10240/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 16 [10496/47500]	Loss: 0.2241	LR: 0.000800
Training Epoch: 16 [10752/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 16 [11008/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 16 [11264/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 16 [11520/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 16 [11776/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 16 [12032/47500]	Loss: 0.2525	LR: 0.000800
Training Epoch: 16 [12288/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 16 [12544/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 16 [12800/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 16 [13056/47500]	Loss: 0.3337	LR: 0.000800
Training Epoch: 16 [13312/47500]	Loss: 0.2182	LR: 0.000800
Training Epoch: 16 [13568/47500]	Loss: 0.2168	LR: 0.000800
Training Epoch: 16 [13824/47500]	Loss: 0.3289	LR: 0.000800
Training Epoch: 16 [14080/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 16 [14336/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 16 [14592/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 16 [14848/47500]	Loss: 0.2491	LR: 0.000800
Training Epoch: 16 [15104/47500]	Loss: 0.2456	LR: 0.000800
Training Epoch: 16 [15360/47500]	Loss: 0.3317	LR: 0.000800
Training Epoch: 16 [15616/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 16 [15872/47500]	Loss: 0.2242	LR: 0.000800
Training Epoch: 16 [16128/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 16 [16384/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 16 [16640/47500]	Loss: 0.2368	LR: 0.000800
Training Epoch: 16 [16896/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 16 [17152/47500]	Loss: 0.2508	LR: 0.000800
Training Epoch: 16 [17408/47500]	Loss: 0.2186	LR: 0.000800
Training Epoch: 16 [17664/47500]	Loss: 0.2177	LR: 0.000800
Training Epoch: 16 [17920/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 16 [18176/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 16 [18432/47500]	Loss: 0.2396	LR: 0.000800
Training Epoch: 16 [18688/47500]	Loss: 0.2433	LR: 0.000800
Training Epoch: 16 [18944/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 16 [19200/47500]	Loss: 0.2441	LR: 0.000800
Training Epoch: 16 [19456/47500]	Loss: 0.2282	LR: 0.000800
Training Epoch: 16 [19712/47500]	Loss: 0.3296	LR: 0.000800
Training Epoch: 16 [19968/47500]	Loss: 0.2475	LR: 0.000800
Training Epoch: 16 [20224/47500]	Loss: 0.2671	LR: 0.000800
Training Epoch: 16 [20480/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 16 [20736/47500]	Loss: 0.3545	LR: 0.000800
Training Epoch: 16 [20992/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 16 [21248/47500]	Loss: 0.2458	LR: 0.000800
Training Epoch: 16 [21504/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 16 [21760/47500]	Loss: 0.3160	LR: 0.000800
Training Epoch: 16 [22016/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 16 [22272/47500]	Loss: 0.2985	LR: 0.000800
Training Epoch: 16 [22528/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 16 [22784/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 16 [23040/47500]	Loss: 0.1993	LR: 0.000800
Training Epoch: 16 [23296/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 16 [23552/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 16 [23808/47500]	Loss: 0.3583	LR: 0.000800
Training Epoch: 16 [24064/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 16 [24320/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 16 [24576/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 16 [24832/47500]	Loss: 0.2333	LR: 0.000800
Training Epoch: 16 [25088/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 16 [25344/47500]	Loss: 0.2462	LR: 0.000800
Training Epoch: 16 [25600/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 16 [25856/47500]	Loss: 0.2983	LR: 0.000800
Training Epoch: 16 [26112/47500]	Loss: 0.2219	LR: 0.000800
Training Epoch: 16 [26368/47500]	Loss: 0.3132	LR: 0.000800
Training Epoch: 16 [26624/47500]	Loss: 0.2381	LR: 0.000800
Training Epoch: 16 [26880/47500]	Loss: 0.3309	LR: 0.000800
Training Epoch: 16 [27136/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 16 [27392/47500]	Loss: 0.3277	LR: 0.000800
Training Epoch: 16 [27648/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 16 [27904/47500]	Loss: 0.3527	LR: 0.000800
Training Epoch: 16 [28160/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 16 [28416/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 16 [28672/47500]	Loss: 0.2313	LR: 0.000800
Training Epoch: 16 [28928/47500]	Loss: 0.1960	LR: 0.000800
Training Epoch: 16 [29184/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 16 [29440/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 16 [29696/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 16 [29952/47500]	Loss: 0.2560	LR: 0.000800
Training Epoch: 16 [30208/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 16 [30464/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 16 [30720/47500]	Loss: 0.3324	LR: 0.000800
Training Epoch: 16 [30976/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 16 [31232/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 16 [31488/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 16 [31744/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 16 [32000/47500]	Loss: 0.1775	LR: 0.000800
Training Epoch: 16 [32256/47500]	Loss: 0.2339	LR: 0.000800
Training Epoch: 16 [32512/47500]	Loss: 0.3674	LR: 0.000800
Training Epoch: 16 [32768/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 16 [33024/47500]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [33280/47500]	Loss: 0.3915	LR: 0.000800
Training Epoch: 16 [33536/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 16 [33792/47500]	Loss: 0.3270	LR: 0.000800
Training Epoch: 16 [34048/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 16 [34304/47500]	Loss: 0.3244	LR: 0.000800
Training Epoch: 16 [34560/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 16 [34816/47500]	Loss: 0.2299	LR: 0.000800
Training Epoch: 16 [35072/47500]	Loss: 0.3359	LR: 0.000800
Training Epoch: 16 [35328/47500]	Loss: 0.2278	LR: 0.000800
Training Epoch: 16 [35584/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 16 [35840/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 16 [36096/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 16 [36352/47500]	Loss: 0.2458	LR: 0.000800
Training Epoch: 16 [36608/47500]	Loss: 0.2133	LR: 0.000800
Training Epoch: 16 [36864/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 16 [37120/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 16 [37376/47500]	Loss: 0.3229	LR: 0.000800
Training Epoch: 16 [37632/47500]	Loss: 0.2485	LR: 0.000800
Training Epoch: 16 [37888/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 16 [38144/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 16 [38400/47500]	Loss: 0.3245	LR: 0.000800
Training Epoch: 16 [38656/47500]	Loss: 0.3434	LR: 0.000800
Training Epoch: 16 [38912/47500]	Loss: 0.2905	LR: 0.000800
Training Epoch: 16 [39168/47500]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [39424/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 16 [39680/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 16 [39936/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 16 [40192/47500]	Loss: 0.2275	LR: 0.000800
Training Epoch: 16 [40448/47500]	Loss: 0.3556	LR: 0.000800
Training Epoch: 16 [40704/47500]	Loss: 0.2137	LR: 0.000800
Training Epoch: 16 [40960/47500]	Loss: 0.2676	LR: 0.000800
Training Epoch: 16 [41216/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 16 [41472/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 16 [41728/47500]	Loss: 0.2559	LR: 0.000800
Training Epoch: 16 [41984/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 16 [42240/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 16 [42496/47500]	Loss: 0.1905	LR: 0.000800
Training Epoch: 16 [42752/47500]	Loss: 0.1956	LR: 0.000800
Training Epoch: 16 [43008/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 16 [43264/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 16 [43520/47500]	Loss: 0.2393	LR: 0.000800
Training Epoch: 16 [43776/47500]	Loss: 0.2262	LR: 0.000800
Training Epoch: 16 [44032/47500]	Loss: 0.2835	LR: 0.000800
Training Epoch: 16 [44288/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 16 [44544/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 16 [44800/47500]	Loss: 0.2108	LR: 0.000800
Training Epoch: 16 [45056/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 16 [45312/47500]	Loss: 0.2053	LR: 0.000800
Training Epoch: 16 [45568/47500]	Loss: 0.2278	LR: 0.000800
Training Epoch: 16 [45824/47500]	Loss: 0.2322	LR: 0.000800
Training Epoch: 16 [46080/47500]	Loss: 0.2140	LR: 0.000800
Training Epoch: 16 [46336/47500]	Loss: 0.3579	LR: 0.000800
Training Epoch: 16 [46592/47500]	Loss: 0.3281	LR: 0.000800
Training Epoch: 16 [46848/47500]	Loss: 0.3091	LR: 0.000800
Training Epoch: 16 [47104/47500]	Loss: 0.2516	LR: 0.000800
Training Epoch: 16 [47360/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 16 [47500/47500]	Loss: 0.2803	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2720, Train Accuracy: 0.9041
Epoch 16 training time consumed: 28.84s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8927, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 17 [512/47500]	Loss: 0.1971	LR: 0.000800
Training Epoch: 17 [768/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 17 [1024/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 17 [1280/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 17 [1536/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 17 [1792/47500]	Loss: 0.2985	LR: 0.000800
Training Epoch: 17 [2048/47500]	Loss: 0.2301	LR: 0.000800
Training Epoch: 17 [2304/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 17 [2560/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 17 [2816/47500]	Loss: 0.2332	LR: 0.000800
Training Epoch: 17 [3072/47500]	Loss: 0.1889	LR: 0.000800
Training Epoch: 17 [3328/47500]	Loss: 0.2111	LR: 0.000800
Training Epoch: 17 [3584/47500]	Loss: 0.2031	LR: 0.000800
Training Epoch: 17 [3840/47500]	Loss: 0.1974	LR: 0.000800
Training Epoch: 17 [4096/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 17 [4352/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 17 [4608/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 17 [4864/47500]	Loss: 0.3515	LR: 0.000800
Training Epoch: 17 [5120/47500]	Loss: 0.2488	LR: 0.000800
Training Epoch: 17 [5376/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 17 [5632/47500]	Loss: 0.3159	LR: 0.000800
Training Epoch: 17 [5888/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 17 [6144/47500]	Loss: 0.3148	LR: 0.000800
Training Epoch: 17 [6400/47500]	Loss: 0.3299	LR: 0.000800
Training Epoch: 17 [6656/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 17 [6912/47500]	Loss: 0.3401	LR: 0.000800
Training Epoch: 17 [7168/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 17 [7424/47500]	Loss: 0.3702	LR: 0.000800
Training Epoch: 17 [7680/47500]	Loss: 0.2086	LR: 0.000800
Training Epoch: 17 [7936/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 17 [8192/47500]	Loss: 0.2150	LR: 0.000800
Training Epoch: 17 [8448/47500]	Loss: 0.3115	LR: 0.000800
Training Epoch: 17 [8704/47500]	Loss: 0.2294	LR: 0.000800
Training Epoch: 17 [8960/47500]	Loss: 0.2575	LR: 0.000800
Training Epoch: 17 [9216/47500]	Loss: 0.3114	LR: 0.000800
Training Epoch: 17 [9472/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 17 [9728/47500]	Loss: 0.3228	LR: 0.000800
Training Epoch: 17 [9984/47500]	Loss: 0.2315	LR: 0.000800
Training Epoch: 17 [10240/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 17 [10496/47500]	Loss: 0.2497	LR: 0.000800
Training Epoch: 17 [10752/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 17 [11008/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 17 [11264/47500]	Loss: 0.3398	LR: 0.000800
Training Epoch: 17 [11520/47500]	Loss: 0.2368	LR: 0.000800
Training Epoch: 17 [11776/47500]	Loss: 0.2115	LR: 0.000800
Training Epoch: 17 [12032/47500]	Loss: 0.3471	LR: 0.000800
Training Epoch: 17 [12288/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 17 [12544/47500]	Loss: 0.2078	LR: 0.000800
Training Epoch: 17 [12800/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 17 [13056/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 17 [13312/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 17 [13568/47500]	Loss: 0.2404	LR: 0.000800
Training Epoch: 17 [13824/47500]	Loss: 0.3229	LR: 0.000800
Training Epoch: 17 [14080/47500]	Loss: 0.3594	LR: 0.000800
Training Epoch: 17 [14336/47500]	Loss: 0.1973	LR: 0.000800
Training Epoch: 17 [14592/47500]	Loss: 0.2410	LR: 0.000800
Training Epoch: 17 [14848/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 17 [15104/47500]	Loss: 0.2173	LR: 0.000800
Training Epoch: 17 [15360/47500]	Loss: 0.2442	LR: 0.000800
Training Epoch: 17 [15616/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 17 [15872/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 17 [16128/47500]	Loss: 0.2230	LR: 0.000800
Training Epoch: 17 [16384/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 17 [16640/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 17 [16896/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 17 [17152/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 17 [17408/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 17 [17664/47500]	Loss: 0.2503	LR: 0.000800
Training Epoch: 17 [17920/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 17 [18176/47500]	Loss: 0.3114	LR: 0.000800
Training Epoch: 17 [18432/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 17 [18688/47500]	Loss: 0.2443	LR: 0.000800
Training Epoch: 17 [18944/47500]	Loss: 0.2903	LR: 0.000800
Training Epoch: 17 [19200/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 17 [19456/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 17 [19712/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 17 [19968/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 17 [20224/47500]	Loss: 0.2240	LR: 0.000800
Training Epoch: 17 [20480/47500]	Loss: 0.3232	LR: 0.000800
Training Epoch: 17 [20736/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 17 [20992/47500]	Loss: 0.2226	LR: 0.000800
Training Epoch: 17 [21248/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 17 [21504/47500]	Loss: 0.3180	LR: 0.000800
Training Epoch: 17 [21760/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 17 [22016/47500]	Loss: 0.2638	LR: 0.000800
Training Epoch: 17 [22272/47500]	Loss: 0.2227	LR: 0.000800
Training Epoch: 17 [22528/47500]	Loss: 0.2275	LR: 0.000800
Training Epoch: 17 [22784/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 17 [23040/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 17 [23296/47500]	Loss: 0.1925	LR: 0.000800
Training Epoch: 17 [23552/47500]	Loss: 0.2845	LR: 0.000800
Training Epoch: 17 [23808/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 17 [24064/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 17 [24320/47500]	Loss: 0.2083	LR: 0.000800
Training Epoch: 17 [24576/47500]	Loss: 0.2120	LR: 0.000800
Training Epoch: 17 [24832/47500]	Loss: 0.3319	LR: 0.000800
Training Epoch: 17 [25088/47500]	Loss: 0.2154	LR: 0.000800
Training Epoch: 17 [25344/47500]	Loss: 0.2132	LR: 0.000800
Training Epoch: 17 [25600/47500]	Loss: 0.3411	LR: 0.000800
Training Epoch: 17 [25856/47500]	Loss: 0.3163	LR: 0.000800
Training Epoch: 17 [26112/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 17 [26368/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 17 [26624/47500]	Loss: 0.2661	LR: 0.000800
Training Epoch: 17 [26880/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 17 [27136/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 17 [27392/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 17 [27648/47500]	Loss: 0.2284	LR: 0.000800
Training Epoch: 17 [27904/47500]	Loss: 0.2038	LR: 0.000800
Training Epoch: 17 [28160/47500]	Loss: 0.2440	LR: 0.000800
Training Epoch: 17 [28416/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 17 [28672/47500]	Loss: 0.1894	LR: 0.000800
Training Epoch: 17 [28928/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 17 [29184/47500]	Loss: 0.2081	LR: 0.000800
Training Epoch: 17 [29440/47500]	Loss: 0.3151	LR: 0.000800
Training Epoch: 17 [29696/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 17 [29952/47500]	Loss: 0.2337	LR: 0.000800
Training Epoch: 17 [30208/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 17 [30464/47500]	Loss: 0.2421	LR: 0.000800
Training Epoch: 17 [30720/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 17 [30976/47500]	Loss: 0.2176	LR: 0.000800
Training Epoch: 17 [31232/47500]	Loss: 0.2269	LR: 0.000800
Training Epoch: 17 [31488/47500]	Loss: 0.2675	LR: 0.000800
Training Epoch: 17 [31744/47500]	Loss: 0.3332	LR: 0.000800
Training Epoch: 17 [32000/47500]	Loss: 0.2895	LR: 0.000800
Training Epoch: 17 [32256/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 17 [32512/47500]	Loss: 0.3416	LR: 0.000800
Training Epoch: 17 [32768/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 17 [33024/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 17 [33280/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 17 [33536/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 17 [33792/47500]	Loss: 0.3532	LR: 0.000800
Training Epoch: 17 [34048/47500]	Loss: 0.2406	LR: 0.000800
Training Epoch: 17 [34304/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 17 [34560/47500]	Loss: 0.2331	LR: 0.000800
Training Epoch: 17 [34816/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 17 [35072/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 17 [35328/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 17 [35584/47500]	Loss: 0.2425	LR: 0.000800
Training Epoch: 17 [35840/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 17 [36096/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 17 [36352/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 17 [36608/47500]	Loss: 0.3274	LR: 0.000800
Training Epoch: 17 [36864/47500]	Loss: 0.2118	LR: 0.000800
Training Epoch: 17 [37120/47500]	Loss: 0.2512	LR: 0.000800
Training Epoch: 17 [37376/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 17 [37632/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 17 [37888/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 17 [38144/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 17 [38400/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 17 [38656/47500]	Loss: 0.3166	LR: 0.000800
Training Epoch: 17 [38912/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 17 [39168/47500]	Loss: 0.2694	LR: 0.000800
Training Epoch: 17 [39424/47500]	Loss: 0.2210	LR: 0.000800
Training Epoch: 17 [39680/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 17 [39936/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 17 [40192/47500]	Loss: 0.2047	LR: 0.000800
Training Epoch: 17 [40448/47500]	Loss: 0.2354	LR: 0.000800
Training Epoch: 17 [40704/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 17 [40960/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 17 [41216/47500]	Loss: 0.2467	LR: 0.000800
Training Epoch: 17 [41472/47500]	Loss: 0.1973	LR: 0.000800
Training Epoch: 17 [41728/47500]	Loss: 0.2097	LR: 0.000800
Training Epoch: 17 [41984/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 17 [42240/47500]	Loss: 0.2386	LR: 0.000800
Training Epoch: 17 [42496/47500]	Loss: 0.2421	LR: 0.000800
Training Epoch: 17 [42752/47500]	Loss: 0.2200	LR: 0.000800
Training Epoch: 17 [43008/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 17 [43264/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 17 [43520/47500]	Loss: 0.2452	LR: 0.000800
Training Epoch: 17 [43776/47500]	Loss: 0.2611	LR: 0.000800
Training Epoch: 17 [44032/47500]	Loss: 0.2433	LR: 0.000800
Training Epoch: 17 [44288/47500]	Loss: 0.2536	LR: 0.000800
Training Epoch: 17 [44544/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 17 [44800/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 17 [45056/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 17 [45312/47500]	Loss: 0.2313	LR: 0.000800
Training Epoch: 17 [45568/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 17 [45824/47500]	Loss: 0.2378	LR: 0.000800
Training Epoch: 17 [46080/47500]	Loss: 0.3080	LR: 0.000800
Training Epoch: 17 [46336/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 17 [46592/47500]	Loss: 0.2507	LR: 0.000800
Training Epoch: 17 [46848/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 17 [47104/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 17 [47360/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 17 [47500/47500]	Loss: 0.2704	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2688, Train Accuracy: 0.9067
Epoch 17 training time consumed: 28.81s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8928, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 18 [512/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 18 [768/47500]	Loss: 0.1712	LR: 0.000800
Training Epoch: 18 [1024/47500]	Loss: 0.2339	LR: 0.000800
Training Epoch: 18 [1280/47500]	Loss: 0.2324	LR: 0.000800
Training Epoch: 18 [1536/47500]	Loss: 0.1768	LR: 0.000800
Training Epoch: 18 [1792/47500]	Loss: 0.1880	LR: 0.000800
Training Epoch: 18 [2048/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 18 [2304/47500]	Loss: 0.2412	LR: 0.000800
Training Epoch: 18 [2560/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 18 [2816/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 18 [3072/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 18 [3328/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [3584/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 18 [3840/47500]	Loss: 0.2238	LR: 0.000800
Training Epoch: 18 [4096/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 18 [4352/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 18 [4608/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 18 [4864/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 18 [5120/47500]	Loss: 0.2820	LR: 0.000800
Training Epoch: 18 [5376/47500]	Loss: 0.3871	LR: 0.000800
Training Epoch: 18 [5632/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 18 [5888/47500]	Loss: 0.2611	LR: 0.000800
Training Epoch: 18 [6144/47500]	Loss: 0.3351	LR: 0.000800
Training Epoch: 18 [6400/47500]	Loss: 0.2273	LR: 0.000800
Training Epoch: 18 [6656/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 18 [6912/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 18 [7168/47500]	Loss: 0.2356	LR: 0.000800
Training Epoch: 18 [7424/47500]	Loss: 0.2149	LR: 0.000800
Training Epoch: 18 [7680/47500]	Loss: 0.3317	LR: 0.000800
Training Epoch: 18 [7936/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 18 [8192/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 18 [8448/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 18 [8704/47500]	Loss: 0.3461	LR: 0.000800
Training Epoch: 18 [8960/47500]	Loss: 0.2103	LR: 0.000800
Training Epoch: 18 [9216/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 18 [9472/47500]	Loss: 0.2470	LR: 0.000800
Training Epoch: 18 [9728/47500]	Loss: 0.2221	LR: 0.000800
Training Epoch: 18 [9984/47500]	Loss: 0.2278	LR: 0.000800
Training Epoch: 18 [10240/47500]	Loss: 0.2401	LR: 0.000800
Training Epoch: 18 [10496/47500]	Loss: 0.2329	LR: 0.000800
Training Epoch: 18 [10752/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 18 [11008/47500]	Loss: 0.2526	LR: 0.000800
Training Epoch: 18 [11264/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 18 [11520/47500]	Loss: 0.2796	LR: 0.000800
Training Epoch: 18 [11776/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 18 [12032/47500]	Loss: 0.1757	LR: 0.000800
Training Epoch: 18 [12288/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [12544/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 18 [12800/47500]	Loss: 0.2762	LR: 0.000800
Training Epoch: 18 [13056/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 18 [13312/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 18 [13568/47500]	Loss: 0.1817	LR: 0.000800
Training Epoch: 18 [13824/47500]	Loss: 0.2042	LR: 0.000800
Training Epoch: 18 [14080/47500]	Loss: 0.2880	LR: 0.000800
Training Epoch: 18 [14336/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 18 [14592/47500]	Loss: 0.3240	LR: 0.000800
Training Epoch: 18 [14848/47500]	Loss: 0.3480	LR: 0.000800
Training Epoch: 18 [15104/47500]	Loss: 0.2327	LR: 0.000800
Training Epoch: 18 [15360/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 18 [15616/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 18 [15872/47500]	Loss: 0.2225	LR: 0.000800
Training Epoch: 18 [16128/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 18 [16384/47500]	Loss: 0.2538	LR: 0.000800
Training Epoch: 18 [16640/47500]	Loss: 0.3273	LR: 0.000800
Training Epoch: 18 [16896/47500]	Loss: 0.2108	LR: 0.000800
Training Epoch: 18 [17152/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 18 [17408/47500]	Loss: 0.1982	LR: 0.000800
Training Epoch: 18 [17664/47500]	Loss: 0.2364	LR: 0.000800
Training Epoch: 18 [17920/47500]	Loss: 0.3439	LR: 0.000800
Training Epoch: 18 [18176/47500]	Loss: 0.3673	LR: 0.000800
Training Epoch: 18 [18432/47500]	Loss: 0.3185	LR: 0.000800
Training Epoch: 18 [18688/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 18 [18944/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 18 [19200/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 18 [19456/47500]	Loss: 0.2462	LR: 0.000800
Training Epoch: 18 [19712/47500]	Loss: 0.2865	LR: 0.000800
Training Epoch: 18 [19968/47500]	Loss: 0.2531	LR: 0.000800
Training Epoch: 18 [20224/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 18 [20480/47500]	Loss: 0.2924	LR: 0.000800
Training Epoch: 18 [20736/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 18 [20992/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 18 [21248/47500]	Loss: 0.1826	LR: 0.000800
Training Epoch: 18 [21504/47500]	Loss: 0.3549	LR: 0.000800
Training Epoch: 18 [21760/47500]	Loss: 0.2166	LR: 0.000800
Training Epoch: 18 [22016/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 18 [22272/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 18 [22528/47500]	Loss: 0.2351	LR: 0.000800
Training Epoch: 18 [22784/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 18 [23040/47500]	Loss: 0.2228	LR: 0.000800
Training Epoch: 18 [23296/47500]	Loss: 0.2275	LR: 0.000800
Training Epoch: 18 [23552/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 18 [23808/47500]	Loss: 0.2462	LR: 0.000800
Training Epoch: 18 [24064/47500]	Loss: 0.2458	LR: 0.000800
Training Epoch: 18 [24320/47500]	Loss: 0.2268	LR: 0.000800
Training Epoch: 18 [24576/47500]	Loss: 0.3501	LR: 0.000800
Training Epoch: 18 [24832/47500]	Loss: 0.2440	LR: 0.000800
Training Epoch: 18 [25088/47500]	Loss: 0.2114	LR: 0.000800
Training Epoch: 18 [25344/47500]	Loss: 0.3290	LR: 0.000800
Training Epoch: 18 [25600/47500]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [25856/47500]	Loss: 0.3123	LR: 0.000800
Training Epoch: 18 [26112/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 18 [26368/47500]	Loss: 0.1929	LR: 0.000800
Training Epoch: 18 [26624/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 18 [26880/47500]	Loss: 0.2355	LR: 0.000800
Training Epoch: 18 [27136/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 18 [27392/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 18 [27648/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 18 [27904/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 18 [28160/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 18 [28416/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 18 [28672/47500]	Loss: 0.2869	LR: 0.000800
Training Epoch: 18 [28928/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 18 [29184/47500]	Loss: 0.2019	LR: 0.000800
Training Epoch: 18 [29440/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 18 [29696/47500]	Loss: 0.2232	LR: 0.000800
Training Epoch: 18 [29952/47500]	Loss: 0.2199	LR: 0.000800
Training Epoch: 18 [30208/47500]	Loss: 0.3439	LR: 0.000800
Training Epoch: 18 [30464/47500]	Loss: 0.2253	LR: 0.000800
Training Epoch: 18 [30720/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 18 [30976/47500]	Loss: 0.2192	LR: 0.000800
Training Epoch: 18 [31232/47500]	Loss: 0.3350	LR: 0.000800
Training Epoch: 18 [31488/47500]	Loss: 0.2461	LR: 0.000800
Training Epoch: 18 [31744/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 18 [32000/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 18 [32256/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 18 [32512/47500]	Loss: 0.2213	LR: 0.000800
Training Epoch: 18 [32768/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 18 [33024/47500]	Loss: 0.2291	LR: 0.000800
Training Epoch: 18 [33280/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 18 [33536/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 18 [33792/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 18 [34048/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 18 [34304/47500]	Loss: 0.2963	LR: 0.000800
Training Epoch: 18 [34560/47500]	Loss: 0.2142	LR: 0.000800
Training Epoch: 18 [34816/47500]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [35072/47500]	Loss: 0.3274	LR: 0.000800
Training Epoch: 18 [35328/47500]	Loss: 0.2414	LR: 0.000800
Training Epoch: 18 [35584/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 18 [35840/47500]	Loss: 0.2341	LR: 0.000800
Training Epoch: 18 [36096/47500]	Loss: 0.2130	LR: 0.000800
Training Epoch: 18 [36352/47500]	Loss: 0.2666	LR: 0.000800
Training Epoch: 18 [36608/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 18 [36864/47500]	Loss: 0.2034	LR: 0.000800
Training Epoch: 18 [37120/47500]	Loss: 0.3213	LR: 0.000800
Training Epoch: 18 [37376/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 18 [37632/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 18 [37888/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 18 [38144/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 18 [38400/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 18 [38656/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 18 [38912/47500]	Loss: 0.2550	LR: 0.000800
Training Epoch: 18 [39168/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 18 [39424/47500]	Loss: 0.1851	LR: 0.000800
Training Epoch: 18 [39680/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 18 [39936/47500]	Loss: 0.4041	LR: 0.000800
Training Epoch: 18 [40192/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 18 [40448/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 18 [40704/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 18 [40960/47500]	Loss: 0.3168	LR: 0.000800
Training Epoch: 18 [41216/47500]	Loss: 0.2076	LR: 0.000800
Training Epoch: 18 [41472/47500]	Loss: 0.2380	LR: 0.000800
Training Epoch: 18 [41728/47500]	Loss: 0.2294	LR: 0.000800
Training Epoch: 18 [41984/47500]	Loss: 0.2558	LR: 0.000800
Training Epoch: 18 [42240/47500]	Loss: 0.2290	LR: 0.000800
Training Epoch: 18 [42496/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 18 [42752/47500]	Loss: 0.3706	LR: 0.000800
Training Epoch: 18 [43008/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 18 [43264/47500]	Loss: 0.3806	LR: 0.000800
Training Epoch: 18 [43520/47500]	Loss: 0.2454	LR: 0.000800
Training Epoch: 18 [43776/47500]	Loss: 0.2507	LR: 0.000800
Training Epoch: 18 [44032/47500]	Loss: 0.1775	LR: 0.000800
Training Epoch: 18 [44288/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 18 [44544/47500]	Loss: 0.2115	LR: 0.000800
Training Epoch: 18 [44800/47500]	Loss: 0.3107	LR: 0.000800
Training Epoch: 18 [45056/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 18 [45312/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [45568/47500]	Loss: 0.2403	LR: 0.000800
Training Epoch: 18 [45824/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 18 [46080/47500]	Loss: 0.3295	LR: 0.000800
Training Epoch: 18 [46336/47500]	Loss: 0.2671	LR: 0.000800
Training Epoch: 18 [46592/47500]	Loss: 0.2472	LR: 0.000800
Training Epoch: 18 [46848/47500]	Loss: 0.2051	LR: 0.000800
Training Epoch: 18 [47104/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 18 [47360/47500]	Loss: 0.3379	LR: 0.000800
Training Epoch: 18 [47500/47500]	Loss: 0.2515	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2672, Train Accuracy: 0.9079
Epoch 18 training time consumed: 28.96s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8929, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_08h_53m_57s/ResNet18-Cifar10-seed1-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.2240	LR: 0.000800
Training Epoch: 19 [512/47500]	Loss: 0.2231	LR: 0.000800
Training Epoch: 19 [768/47500]	Loss: 0.1957	LR: 0.000800
Training Epoch: 19 [1024/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 19 [1280/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 19 [1536/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 19 [1792/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 19 [2048/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 19 [2304/47500]	Loss: 0.2704	LR: 0.000800
Training Epoch: 19 [2560/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 19 [2816/47500]	Loss: 0.3181	LR: 0.000800
Training Epoch: 19 [3072/47500]	Loss: 0.2331	LR: 0.000800
Training Epoch: 19 [3328/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 19 [3584/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 19 [3840/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 19 [4096/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [4352/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [4608/47500]	Loss: 0.1945	LR: 0.000800
Training Epoch: 19 [4864/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 19 [5120/47500]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [5376/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 19 [5632/47500]	Loss: 0.2301	LR: 0.000800
Training Epoch: 19 [5888/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 19 [6144/47500]	Loss: 0.2305	LR: 0.000800
Training Epoch: 19 [6400/47500]	Loss: 0.2656	LR: 0.000800
Training Epoch: 19 [6656/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 19 [6912/47500]	Loss: 0.3303	LR: 0.000800
Training Epoch: 19 [7168/47500]	Loss: 0.2436	LR: 0.000800
Training Epoch: 19 [7424/47500]	Loss: 0.3077	LR: 0.000800
Training Epoch: 19 [7680/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 19 [7936/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 19 [8192/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 19 [8448/47500]	Loss: 0.2546	LR: 0.000800
Training Epoch: 19 [8704/47500]	Loss: 0.1701	LR: 0.000800
Training Epoch: 19 [8960/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 19 [9216/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 19 [9472/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 19 [9728/47500]	Loss: 0.3171	LR: 0.000800
Training Epoch: 19 [9984/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 19 [10240/47500]	Loss: 0.1606	LR: 0.000800
Training Epoch: 19 [10496/47500]	Loss: 0.2193	LR: 0.000800
Training Epoch: 19 [10752/47500]	Loss: 0.2781	LR: 0.000800
Training Epoch: 19 [11008/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [11264/47500]	Loss: 0.3208	LR: 0.000800
Training Epoch: 19 [11520/47500]	Loss: 0.2118	LR: 0.000800
Training Epoch: 19 [11776/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 19 [12032/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 19 [12288/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 19 [12544/47500]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [12800/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 19 [13056/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [13312/47500]	Loss: 0.2247	LR: 0.000800
Training Epoch: 19 [13568/47500]	Loss: 0.2983	LR: 0.000800
Training Epoch: 19 [13824/47500]	Loss: 0.2269	LR: 0.000800
Training Epoch: 19 [14080/47500]	Loss: 0.1629	LR: 0.000800
Training Epoch: 19 [14336/47500]	Loss: 0.2378	LR: 0.000800
Training Epoch: 19 [14592/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 19 [14848/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 19 [15104/47500]	Loss: 0.2033	LR: 0.000800
Training Epoch: 19 [15360/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 19 [15616/47500]	Loss: 0.2433	LR: 0.000800
Training Epoch: 19 [15872/47500]	Loss: 0.3221	LR: 0.000800
Training Epoch: 19 [16128/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [16384/47500]	Loss: 0.1996	LR: 0.000800
Training Epoch: 19 [16640/47500]	Loss: 0.2386	LR: 0.000800
Training Epoch: 19 [16896/47500]	Loss: 0.2640	LR: 0.000800
Training Epoch: 19 [17152/47500]	Loss: 0.2704	LR: 0.000800
Training Epoch: 19 [17408/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 19 [17664/47500]	Loss: 0.3142	LR: 0.000800
Training Epoch: 19 [17920/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 19 [18176/47500]	Loss: 0.2482	LR: 0.000800
Training Epoch: 19 [18432/47500]	Loss: 0.2271	LR: 0.000800
Training Epoch: 19 [18688/47500]	Loss: 0.2546	LR: 0.000800
Training Epoch: 19 [18944/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 19 [19200/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 19 [19456/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 19 [19712/47500]	Loss: 0.2063	LR: 0.000800
Training Epoch: 19 [19968/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [20224/47500]	Loss: 0.2026	LR: 0.000800
Training Epoch: 19 [20480/47500]	Loss: 0.3499	LR: 0.000800
Training Epoch: 19 [20736/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 19 [20992/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 19 [21248/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [21504/47500]	Loss: 0.2990	LR: 0.000800
Training Epoch: 19 [21760/47500]	Loss: 0.3147	LR: 0.000800
Training Epoch: 19 [22016/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 19 [22272/47500]	Loss: 0.2315	LR: 0.000800
Training Epoch: 19 [22528/47500]	Loss: 0.2406	LR: 0.000800
Training Epoch: 19 [22784/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [23040/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 19 [23296/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 19 [23552/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 19 [23808/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [24064/47500]	Loss: 0.2217	LR: 0.000800
Training Epoch: 19 [24320/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 19 [24576/47500]	Loss: 0.2454	LR: 0.000800
Training Epoch: 19 [24832/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 19 [25088/47500]	Loss: 0.2145	LR: 0.000800
Training Epoch: 19 [25344/47500]	Loss: 0.2327	LR: 0.000800
Training Epoch: 19 [25600/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 19 [25856/47500]	Loss: 0.2216	LR: 0.000800
Training Epoch: 19 [26112/47500]	Loss: 0.3659	LR: 0.000800
Training Epoch: 19 [26368/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 19 [26624/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 19 [26880/47500]	Loss: 0.3473	LR: 0.000800
Training Epoch: 19 [27136/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 19 [27392/47500]	Loss: 0.2299	LR: 0.000800
Training Epoch: 19 [27648/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 19 [27904/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 19 [28160/47500]	Loss: 0.2260	LR: 0.000800
Training Epoch: 19 [28416/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 19 [28672/47500]	Loss: 0.2101	LR: 0.000800
Training Epoch: 19 [28928/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 19 [29184/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 19 [29440/47500]	Loss: 0.3232	LR: 0.000800
Training Epoch: 19 [29696/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 19 [29952/47500]	Loss: 0.2455	LR: 0.000800
Training Epoch: 19 [30208/47500]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [30464/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 19 [30720/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [30976/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 19 [31232/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 19 [31488/47500]	Loss: 0.2320	LR: 0.000800
Training Epoch: 19 [31744/47500]	Loss: 0.1975	LR: 0.000800
Training Epoch: 19 [32000/47500]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [32256/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 19 [32512/47500]	Loss: 0.2059	LR: 0.000800
Training Epoch: 19 [32768/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 19 [33024/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 19 [33280/47500]	Loss: 0.2314	LR: 0.000800
Training Epoch: 19 [33536/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [33792/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 19 [34048/47500]	Loss: 0.2655	LR: 0.000800
Training Epoch: 19 [34304/47500]	Loss: 0.2525	LR: 0.000800
Training Epoch: 19 [34560/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 19 [34816/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 19 [35072/47500]	Loss: 0.2513	LR: 0.000800
Training Epoch: 19 [35328/47500]	Loss: 0.2377	LR: 0.000800
Training Epoch: 19 [35584/47500]	Loss: 0.2384	LR: 0.000800
Training Epoch: 19 [35840/47500]	Loss: 0.3028	LR: 0.000800
Training Epoch: 19 [36096/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 19 [36352/47500]	Loss: 0.2757	LR: 0.000800
Training Epoch: 19 [36608/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 19 [36864/47500]	Loss: 0.3632	LR: 0.000800
Training Epoch: 19 [37120/47500]	Loss: 0.2563	LR: 0.000800
Training Epoch: 19 [37376/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 19 [37632/47500]	Loss: 0.1970	LR: 0.000800
Training Epoch: 19 [37888/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 19 [38144/47500]	Loss: 0.1914	LR: 0.000800
Training Epoch: 19 [38400/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 19 [38656/47500]	Loss: 0.2168	LR: 0.000800
Training Epoch: 19 [38912/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 19 [39168/47500]	Loss: 0.1767	LR: 0.000800
Training Epoch: 19 [39424/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 19 [39680/47500]	Loss: 0.2289	LR: 0.000800
Training Epoch: 19 [39936/47500]	Loss: 0.2169	LR: 0.000800
Training Epoch: 19 [40192/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 19 [40448/47500]	Loss: 0.2855	LR: 0.000800
Training Epoch: 19 [40704/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 19 [40960/47500]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [41216/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 19 [41472/47500]	Loss: 0.2366	LR: 0.000800
Training Epoch: 19 [41728/47500]	Loss: 0.2038	LR: 0.000800
Training Epoch: 19 [41984/47500]	Loss: 0.3386	LR: 0.000800
Training Epoch: 19 [42240/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 19 [42496/47500]	Loss: 0.2314	LR: 0.000800
Training Epoch: 19 [42752/47500]	Loss: 0.2955	LR: 0.000800
Training Epoch: 19 [43008/47500]	Loss: 0.2044	LR: 0.000800
Training Epoch: 19 [43264/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 19 [43520/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 19 [43776/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 19 [44032/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 19 [44288/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 19 [44544/47500]	Loss: 0.2287	LR: 0.000800
Training Epoch: 19 [44800/47500]	Loss: 0.2159	LR: 0.000800
Training Epoch: 19 [45056/47500]	Loss: 0.2204	LR: 0.000800
Training Epoch: 19 [45312/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 19 [45568/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 19 [45824/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 19 [46080/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [46336/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 19 [46592/47500]	Loss: 0.3117	LR: 0.000800
Training Epoch: 19 [46848/47500]	Loss: 0.2497	LR: 0.000800
Training Epoch: 19 [47104/47500]	Loss: 0.2002	LR: 0.000800
Training Epoch: 19 [47360/47500]	Loss: 0.2522	LR: 0.000800
Training Epoch: 19 [47500/47500]	Loss: 0.3277	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2622, Train Accuracy: 0.9082
Epoch 19 training time consumed: 28.72s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8926, Time consumed:0.87s
Training Epoch: 20 [256/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 20 [512/47500]	Loss: 0.2050	LR: 0.000800
Training Epoch: 20 [768/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 20 [1024/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 20 [1280/47500]	Loss: 0.2124	LR: 0.000800
Training Epoch: 20 [1536/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 20 [1792/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 20 [2048/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 20 [2304/47500]	Loss: 0.1897	LR: 0.000800
Training Epoch: 20 [2560/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 20 [2816/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 20 [3072/47500]	Loss: 0.2428	LR: 0.000800
Training Epoch: 20 [3328/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [3584/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 20 [3840/47500]	Loss: 0.2577	LR: 0.000800
Training Epoch: 20 [4096/47500]	Loss: 0.3163	LR: 0.000800
Training Epoch: 20 [4352/47500]	Loss: 0.2735	LR: 0.000800
Training Epoch: 20 [4608/47500]	Loss: 0.3420	LR: 0.000800
Training Epoch: 20 [4864/47500]	Loss: 0.3208	LR: 0.000800
Training Epoch: 20 [5120/47500]	Loss: 0.1752	LR: 0.000800
Training Epoch: 20 [5376/47500]	Loss: 0.2151	LR: 0.000800
Training Epoch: 20 [5632/47500]	Loss: 0.2256	LR: 0.000800
Training Epoch: 20 [5888/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 20 [6144/47500]	Loss: 0.1780	LR: 0.000800
Training Epoch: 20 [6400/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 20 [6656/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 20 [6912/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 20 [7168/47500]	Loss: 0.2132	LR: 0.000800
Training Epoch: 20 [7424/47500]	Loss: 0.3228	LR: 0.000800
Training Epoch: 20 [7680/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 20 [7936/47500]	Loss: 0.2617	LR: 0.000800
Training Epoch: 20 [8192/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 20 [8448/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 20 [8704/47500]	Loss: 0.2704	LR: 0.000800
Training Epoch: 20 [8960/47500]	Loss: 0.3002	LR: 0.000800
Training Epoch: 20 [9216/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 20 [9472/47500]	Loss: 0.2305	LR: 0.000800
Training Epoch: 20 [9728/47500]	Loss: 0.3246	LR: 0.000800
Training Epoch: 20 [9984/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 20 [10240/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 20 [10496/47500]	Loss: 0.2488	LR: 0.000800
Training Epoch: 20 [10752/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 20 [11008/47500]	Loss: 0.2465	LR: 0.000800
Training Epoch: 20 [11264/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 20 [11520/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 20 [11776/47500]	Loss: 0.3819	LR: 0.000800
Training Epoch: 20 [12032/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 20 [12288/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 20 [12544/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 20 [12800/47500]	Loss: 0.3539	LR: 0.000800
Training Epoch: 20 [13056/47500]	Loss: 0.2396	LR: 0.000800
Training Epoch: 20 [13312/47500]	Loss: 0.3091	LR: 0.000800
Training Epoch: 20 [13568/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 20 [13824/47500]	Loss: 0.2395	LR: 0.000800
Training Epoch: 20 [14080/47500]	Loss: 0.2165	LR: 0.000800
Training Epoch: 20 [14336/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 20 [14592/47500]	Loss: 0.3402	LR: 0.000800
Training Epoch: 20 [14848/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 20 [15104/47500]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [15360/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 20 [15616/47500]	Loss: 0.2125	LR: 0.000800
Training Epoch: 20 [15872/47500]	Loss: 0.1929	LR: 0.000800
Training Epoch: 20 [16128/47500]	Loss: 0.1835	LR: 0.000800
Training Epoch: 20 [16384/47500]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [16640/47500]	Loss: 0.2916	LR: 0.000800
Training Epoch: 20 [16896/47500]	Loss: 0.2762	LR: 0.000800
Training Epoch: 20 [17152/47500]	Loss: 0.2465	LR: 0.000800
Training Epoch: 20 [17408/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [17664/47500]	Loss: 0.1879	LR: 0.000800
Training Epoch: 20 [17920/47500]	Loss: 0.2978	LR: 0.000800
Training Epoch: 20 [18176/47500]	Loss: 0.2381	LR: 0.000800
Training Epoch: 20 [18432/47500]	Loss: 0.3290	LR: 0.000800
Training Epoch: 20 [18688/47500]	Loss: 0.3177	LR: 0.000800
Training Epoch: 20 [18944/47500]	Loss: 0.2141	LR: 0.000800
Training Epoch: 20 [19200/47500]	Loss: 0.2723	LR: 0.000800
Training Epoch: 20 [19456/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [19712/47500]	Loss: 0.2294	LR: 0.000800
Training Epoch: 20 [19968/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 20 [20224/47500]	Loss: 0.2851	LR: 0.000800
Training Epoch: 20 [20480/47500]	Loss: 0.3096	LR: 0.000800
Training Epoch: 20 [20736/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 20 [20992/47500]	Loss: 0.3128	LR: 0.000800
Training Epoch: 20 [21248/47500]	Loss: 0.1855	LR: 0.000800
Training Epoch: 20 [21504/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 20 [21760/47500]	Loss: 0.2940	LR: 0.000800
Training Epoch: 20 [22016/47500]	Loss: 0.3278	LR: 0.000800
Training Epoch: 20 [22272/47500]	Loss: 0.2281	LR: 0.000800
Training Epoch: 20 [22528/47500]	Loss: 0.3268	LR: 0.000800
Training Epoch: 20 [22784/47500]	Loss: 0.2441	LR: 0.000800
Training Epoch: 20 [23040/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 20 [23296/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 20 [23552/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 20 [23808/47500]	Loss: 0.2452	LR: 0.000800
Training Epoch: 20 [24064/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 20 [24320/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 20 [24576/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [24832/47500]	Loss: 0.2327	LR: 0.000800
Training Epoch: 20 [25088/47500]	Loss: 0.2407	LR: 0.000800
Training Epoch: 20 [25344/47500]	Loss: 0.3352	LR: 0.000800
Training Epoch: 20 [25600/47500]	Loss: 0.2121	LR: 0.000800
Training Epoch: 20 [25856/47500]	Loss: 0.2097	LR: 0.000800
Training Epoch: 20 [26112/47500]	Loss: 0.2070	LR: 0.000800
Training Epoch: 20 [26368/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 20 [26624/47500]	Loss: 0.2248	LR: 0.000800
Training Epoch: 20 [26880/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 20 [27136/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 20 [27392/47500]	Loss: 0.2656	LR: 0.000800
Training Epoch: 20 [27648/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 20 [27904/47500]	Loss: 0.2293	LR: 0.000800
Training Epoch: 20 [28160/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 20 [28416/47500]	Loss: 0.2261	LR: 0.000800
Training Epoch: 20 [28672/47500]	Loss: 0.3120	LR: 0.000800
Training Epoch: 20 [28928/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 20 [29184/47500]	Loss: 0.2308	LR: 0.000800
Training Epoch: 20 [29440/47500]	Loss: 0.2597	LR: 0.000800
Training Epoch: 20 [29696/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 20 [29952/47500]	Loss: 0.3259	LR: 0.000800
Training Epoch: 20 [30208/47500]	Loss: 0.3712	LR: 0.000800
Training Epoch: 20 [30464/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 20 [30720/47500]	Loss: 0.3628	LR: 0.000800
Training Epoch: 20 [30976/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 20 [31232/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 20 [31488/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 20 [31744/47500]	Loss: 0.3177	LR: 0.000800
Training Epoch: 20 [32000/47500]	Loss: 0.2123	LR: 0.000800
Training Epoch: 20 [32256/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 20 [32512/47500]	Loss: 0.2549	LR: 0.000800
Training Epoch: 20 [32768/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 20 [33024/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 20 [33280/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 20 [33536/47500]	Loss: 0.2308	LR: 0.000800
Training Epoch: 20 [33792/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 20 [34048/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 20 [34304/47500]	Loss: 0.1937	LR: 0.000800
Training Epoch: 20 [34560/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 20 [34816/47500]	Loss: 0.2072	LR: 0.000800
Training Epoch: 20 [35072/47500]	Loss: 0.3712	LR: 0.000800
Training Epoch: 20 [35328/47500]	Loss: 0.2109	LR: 0.000800
Training Epoch: 20 [35584/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 20 [35840/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 20 [36096/47500]	Loss: 0.2283	LR: 0.000800
Training Epoch: 20 [36352/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 20 [36608/47500]	Loss: 0.3192	LR: 0.000800
Training Epoch: 20 [36864/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 20 [37120/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 20 [37376/47500]	Loss: 0.2823	LR: 0.000800
Training Epoch: 20 [37632/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 20 [37888/47500]	Loss: 0.2252	LR: 0.000800
Training Epoch: 20 [38144/47500]	Loss: 0.2378	LR: 0.000800
Training Epoch: 20 [38400/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 20 [38656/47500]	Loss: 0.3554	LR: 0.000800
Training Epoch: 20 [38912/47500]	Loss: 0.2637	LR: 0.000800
Training Epoch: 20 [39168/47500]	Loss: 0.2101	LR: 0.000800
Training Epoch: 20 [39424/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 20 [39680/47500]	Loss: 0.2447	LR: 0.000800
Training Epoch: 20 [39936/47500]	Loss: 0.2320	LR: 0.000800
Training Epoch: 20 [40192/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 20 [40448/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 20 [40704/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 20 [40960/47500]	Loss: 0.3522	LR: 0.000800
Training Epoch: 20 [41216/47500]	Loss: 0.2032	LR: 0.000800
Training Epoch: 20 [41472/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 20 [41728/47500]	Loss: 0.2279	LR: 0.000800
Training Epoch: 20 [41984/47500]	Loss: 0.1657	LR: 0.000800
Training Epoch: 20 [42240/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [42496/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 20 [42752/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 20 [43008/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 20 [43264/47500]	Loss: 0.2303	LR: 0.000800
Training Epoch: 20 [43520/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 20 [43776/47500]	Loss: 0.3411	LR: 0.000800
Training Epoch: 20 [44032/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 20 [44288/47500]	Loss: 0.2067	LR: 0.000800
Training Epoch: 20 [44544/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 20 [44800/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 20 [45056/47500]	Loss: 0.3293	LR: 0.000800
Training Epoch: 20 [45312/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 20 [45568/47500]	Loss: 0.2023	LR: 0.000800
Training Epoch: 20 [45824/47500]	Loss: 0.3546	LR: 0.000800
Training Epoch: 20 [46080/47500]	Loss: 0.3402	LR: 0.000800
Training Epoch: 20 [46336/47500]	Loss: 0.2252	LR: 0.000800
Training Epoch: 20 [46592/47500]	Loss: 0.3156	LR: 0.000800
Training Epoch: 20 [46848/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 20 [47104/47500]	Loss: 0.2268	LR: 0.000800
Training Epoch: 20 [47360/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 20 [47500/47500]	Loss: 0.2505	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2665, Train Accuracy: 0.9077
Epoch 20 training time consumed: 28.70s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8927, Time consumed:0.87s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.375
Retain Accuracy: 91.26631927490234
Zero-Retain Forget (ZRF): 0.8333837985992432
Membership Inference Attack (MIA): 0.6256
Forget vs Retain Membership Inference Attack (MIA): 0.534
Forget vs Test Membership Inference Attack (MIA): 0.548
Test vs Retain Membership Inference Attack (MIA): 0.50425
Train vs Test Membership Inference Attack (MIA): 0.51925
Forget Set Accuracy (Df): 87.87308502197266
Method Execution Time: 1545.50 seconds
