hello
hello

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

📊 Updated class distribution:
Retain set:
  Class 0: 4625
  Class 1: 4625
  Class 2: 4625
  Class 3: 4625
  Class 4: 4625
  Class 5: 4625
  Class 6: 4625
  Class 7: 4625
  Class 8: 4625
  Class 9: 4625
Forget set:
  Class 0: 375
  Class 1: 375
  Class 2: 375
  Class 3: 375
  Class 4: 375
  Class 5: 375
  Class 6: 375
  Class 7: 375
  Class 8: 375
  Class 9: 375
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/46250]	Loss: 2.3217	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3497	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3170	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.3154	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2919	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2682	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2618	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2432	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.1892	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.2366	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.2273	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1012	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.1071	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.0844	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.0688	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.0361	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 2.0079	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 1.8739	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.9487	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 1.8612	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 1.9502	LR: 0.011050
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Training Epoch: 1 [5888/46250]	Loss: 1.8628	LR: 0.012155
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Training Epoch: 1 [6400/46250]	Loss: 1.8774	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.9336	LR: 0.013812
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Training Epoch: 1 [7168/46250]	Loss: 1.8075	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.8198	LR: 0.015470
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Training Epoch: 1 [8192/46250]	Loss: 1.8104	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.9369	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.9589	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.8593	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.7280	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.8062	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.9402	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7072	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.7967	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.8913	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.7567	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.6956	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.8284	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7703	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.8306	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.8316	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.7818	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.8820	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 2.0352	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.8104	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.7514	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 2.0148	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.9491	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.8884	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.9215	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7808	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.9098	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.8627	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.8448	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.8457	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.8663	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.7420	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.7664	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.9059	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 1.7006	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.6447	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.7044	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.6674	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.6411	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.6814	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.6986	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.6530	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.6931	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.7070	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6632	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.8181	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.6865	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.7397	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6893	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6814	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.7064	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.8156	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6405	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.7102	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.7960	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.9607	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.7127	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.8174	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.8071	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.7155	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.5528	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.7818	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.7554	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.5960	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.8244	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.6398	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.5352	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.5610	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.6455	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.5249	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.6597	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.7321	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.7942	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.9541	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.7378	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.6683	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.6381	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.6387	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.8222	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.5369	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.6936	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.7206	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.5484	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.6907	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.5881	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.7496	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.5174	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.5987	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.4843	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.5027	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.4366	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.6417	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.4997	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.6239	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5833	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.6347	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.5383	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.4950	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5787	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.6423	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.4654	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.5444	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5649	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.6644	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.6218	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.4572	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.6405	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4242	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.3433	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.6739	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.5163	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.5740	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.6501	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.5903	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.4551	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.5280	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.4929	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.5273	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.5460	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4619	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.6947	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.6403	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.5601	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.3944	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.6842	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.5396	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.7594	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.7069	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.5081	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.5474	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5009	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.6227	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.5357	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.6360	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4749	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.6518	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.5006	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.5024	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.2890	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.5178	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.5094	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.2841	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.4187	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.5150	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.5625	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.5950	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.4482	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.3547	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.5825	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.3570	LR: 0.099448
Epoch 1 - Average Train Loss: 1.7307, Train Accuracy: 0.3682
Epoch 1 training time consumed: 28.88s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0074, Accuracy: 0.3921, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.6288	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.5059	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4305	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.4671	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.4479	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.3358	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.4581	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.3513	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.3212	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.3614	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.3671	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.5046	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.2838	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.3118	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.3868	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.4221	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.2283	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.5987	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.4656	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.2911	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.4213	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.3739	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.3262	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.6477	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.4217	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.3486	LR: 0.100000
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Training Epoch: 2 [7168/46250]	Loss: 1.3105	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.4180	LR: 0.100000
Training Epoch: 2 [7680/46250]	Loss: 1.4249	LR: 0.100000
Training Epoch: 2 [7936/46250]	Loss: 1.2681	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.3540	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.2852	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.3522	LR: 0.100000
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Training Epoch: 2 [9216/46250]	Loss: 1.3902	LR: 0.100000
Training Epoch: 2 [9472/46250]	Loss: 1.2876	LR: 0.100000
Training Epoch: 2 [9728/46250]	Loss: 1.2954	LR: 0.100000
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Training Epoch: 2 [10240/46250]	Loss: 1.3870	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.2807	LR: 0.100000
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Training Epoch: 2 [11776/46250]	Loss: 1.3531	LR: 0.100000
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Training Epoch: 2 [12288/46250]	Loss: 1.3355	LR: 0.100000
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Training Epoch: 2 [12800/46250]	Loss: 1.2047	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.4131	LR: 0.100000
Training Epoch: 2 [13312/46250]	Loss: 1.2787	LR: 0.100000
Training Epoch: 2 [13568/46250]	Loss: 1.2451	LR: 0.100000
Training Epoch: 2 [13824/46250]	Loss: 1.3337	LR: 0.100000
Training Epoch: 2 [14080/46250]	Loss: 1.3982	LR: 0.100000
Training Epoch: 2 [14336/46250]	Loss: 1.3231	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.3636	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.2852	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.3252	LR: 0.100000
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Training Epoch: 2 [16896/46250]	Loss: 1.2898	LR: 0.100000
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Training Epoch: 2 [18176/46250]	Loss: 1.3094	LR: 0.100000
Training Epoch: 2 [18432/46250]	Loss: 1.2616	LR: 0.100000
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Training Epoch: 2 [18944/46250]	Loss: 1.2199	LR: 0.100000
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Training Epoch: 2 [19456/46250]	Loss: 1.3797	LR: 0.100000
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Training Epoch: 2 [22784/46250]	Loss: 1.2705	LR: 0.100000
Training Epoch: 2 [23040/46250]	Loss: 1.2042	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.1249	LR: 0.100000
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Training Epoch: 2 [46080/46250]	Loss: 1.1041	LR: 0.100000
Training Epoch: 2 [46250/46250]	Loss: 1.1797	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2394, Train Accuracy: 0.5546
Epoch 2 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0056, Accuracy: 0.5529, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0674	LR: 0.100000
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Training Epoch: 3 [46080/46250]	Loss: 0.9435	LR: 0.100000
Training Epoch: 3 [46250/46250]	Loss: 0.7651	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9887, Train Accuracy: 0.6502
Epoch 3 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0039, Accuracy: 0.6653, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8674	LR: 0.100000
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Training Epoch: 4 [5888/46250]	Loss: 0.8685	LR: 0.100000
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Training Epoch: 4 [6400/46250]	Loss: 0.7800	LR: 0.100000
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Training Epoch: 4 [6912/46250]	Loss: 0.8310	LR: 0.100000
Training Epoch: 4 [7168/46250]	Loss: 0.7377	LR: 0.100000
Training Epoch: 4 [7424/46250]	Loss: 0.6839	LR: 0.100000
Training Epoch: 4 [7680/46250]	Loss: 1.0121	LR: 0.100000
Training Epoch: 4 [7936/46250]	Loss: 0.7751	LR: 0.100000
Training Epoch: 4 [8192/46250]	Loss: 0.8590	LR: 0.100000
Training Epoch: 4 [8448/46250]	Loss: 0.8249	LR: 0.100000
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Training Epoch: 4 [10240/46250]	Loss: 0.8026	LR: 0.100000
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Training Epoch: 4 [11008/46250]	Loss: 0.8493	LR: 0.100000
Training Epoch: 4 [11264/46250]	Loss: 0.8278	LR: 0.100000
Training Epoch: 4 [11520/46250]	Loss: 0.8568	LR: 0.100000
Training Epoch: 4 [11776/46250]	Loss: 0.8556	LR: 0.100000
Training Epoch: 4 [12032/46250]	Loss: 0.8817	LR: 0.100000
Training Epoch: 4 [12288/46250]	Loss: 0.7450	LR: 0.100000
Training Epoch: 4 [12544/46250]	Loss: 0.8040	LR: 0.100000
Training Epoch: 4 [12800/46250]	Loss: 0.7823	LR: 0.100000
Training Epoch: 4 [13056/46250]	Loss: 0.8472	LR: 0.100000
Training Epoch: 4 [13312/46250]	Loss: 0.8033	LR: 0.100000
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Training Epoch: 4 [13824/46250]	Loss: 0.8362	LR: 0.100000
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Training Epoch: 4 [15616/46250]	Loss: 0.8805	LR: 0.100000
Training Epoch: 4 [15872/46250]	Loss: 0.9604	LR: 0.100000
Training Epoch: 4 [16128/46250]	Loss: 0.8454	LR: 0.100000
Training Epoch: 4 [16384/46250]	Loss: 0.8569	LR: 0.100000
Training Epoch: 4 [16640/46250]	Loss: 0.9110	LR: 0.100000
Training Epoch: 4 [16896/46250]	Loss: 0.9256	LR: 0.100000
Training Epoch: 4 [17152/46250]	Loss: 0.8744	LR: 0.100000
Training Epoch: 4 [17408/46250]	Loss: 0.9825	LR: 0.100000
Training Epoch: 4 [17664/46250]	Loss: 0.7570	LR: 0.100000
Training Epoch: 4 [17920/46250]	Loss: 0.8498	LR: 0.100000
Training Epoch: 4 [18176/46250]	Loss: 0.7772	LR: 0.100000
Training Epoch: 4 [18432/46250]	Loss: 0.8454	LR: 0.100000
Training Epoch: 4 [18688/46250]	Loss: 0.7730	LR: 0.100000
Training Epoch: 4 [18944/46250]	Loss: 0.8029	LR: 0.100000
Training Epoch: 4 [19200/46250]	Loss: 0.8744	LR: 0.100000
Training Epoch: 4 [19456/46250]	Loss: 0.8809	LR: 0.100000
Training Epoch: 4 [19712/46250]	Loss: 0.7815	LR: 0.100000
Training Epoch: 4 [19968/46250]	Loss: 0.9494	LR: 0.100000
Training Epoch: 4 [20224/46250]	Loss: 0.8771	LR: 0.100000
Training Epoch: 4 [20480/46250]	Loss: 0.8921	LR: 0.100000
Training Epoch: 4 [20736/46250]	Loss: 0.9008	LR: 0.100000
Training Epoch: 4 [20992/46250]	Loss: 0.7861	LR: 0.100000
Training Epoch: 4 [21248/46250]	Loss: 0.8687	LR: 0.100000
Training Epoch: 4 [21504/46250]	Loss: 0.8227	LR: 0.100000
Training Epoch: 4 [21760/46250]	Loss: 0.7928	LR: 0.100000
Training Epoch: 4 [22016/46250]	Loss: 0.9666	LR: 0.100000
Training Epoch: 4 [22272/46250]	Loss: 0.7840	LR: 0.100000
Training Epoch: 4 [22528/46250]	Loss: 0.8343	LR: 0.100000
Training Epoch: 4 [22784/46250]	Loss: 0.8215	LR: 0.100000
Training Epoch: 4 [23040/46250]	Loss: 0.9075	LR: 0.100000
Training Epoch: 4 [23296/46250]	Loss: 0.8424	LR: 0.100000
Training Epoch: 4 [23552/46250]	Loss: 0.8377	LR: 0.100000
Training Epoch: 4 [23808/46250]	Loss: 0.8911	LR: 0.100000
Training Epoch: 4 [24064/46250]	Loss: 0.7706	LR: 0.100000
Training Epoch: 4 [24320/46250]	Loss: 0.7892	LR: 0.100000
Training Epoch: 4 [24576/46250]	Loss: 0.7198	LR: 0.100000
Training Epoch: 4 [24832/46250]	Loss: 0.7943	LR: 0.100000
Training Epoch: 4 [25088/46250]	Loss: 0.7578	LR: 0.100000
Training Epoch: 4 [25344/46250]	Loss: 0.8037	LR: 0.100000
Training Epoch: 4 [25600/46250]	Loss: 0.8831	LR: 0.100000
Training Epoch: 4 [25856/46250]	Loss: 0.9304	LR: 0.100000
Training Epoch: 4 [26112/46250]	Loss: 0.7999	LR: 0.100000
Training Epoch: 4 [26368/46250]	Loss: 0.7387	LR: 0.100000
Training Epoch: 4 [26624/46250]	Loss: 0.9580	LR: 0.100000
Training Epoch: 4 [26880/46250]	Loss: 0.8529	LR: 0.100000
Training Epoch: 4 [27136/46250]	Loss: 0.9230	LR: 0.100000
Training Epoch: 4 [27392/46250]	Loss: 0.7982	LR: 0.100000
Training Epoch: 4 [27648/46250]	Loss: 0.7585	LR: 0.100000
Training Epoch: 4 [27904/46250]	Loss: 0.8077	LR: 0.100000
Training Epoch: 4 [28160/46250]	Loss: 0.7621	LR: 0.100000
Training Epoch: 4 [28416/46250]	Loss: 0.7308	LR: 0.100000
Training Epoch: 4 [28672/46250]	Loss: 0.8987	LR: 0.100000
Training Epoch: 4 [28928/46250]	Loss: 0.7958	LR: 0.100000
Training Epoch: 4 [29184/46250]	Loss: 0.6759	LR: 0.100000
Training Epoch: 4 [29440/46250]	Loss: 0.8969	LR: 0.100000
Training Epoch: 4 [29696/46250]	Loss: 0.7751	LR: 0.100000
Training Epoch: 4 [29952/46250]	Loss: 0.7330	LR: 0.100000
Training Epoch: 4 [30208/46250]	Loss: 0.8349	LR: 0.100000
Training Epoch: 4 [30464/46250]	Loss: 0.8580	LR: 0.100000
Training Epoch: 4 [30720/46250]	Loss: 0.9575	LR: 0.100000
Training Epoch: 4 [30976/46250]	Loss: 0.7919	LR: 0.100000
Training Epoch: 4 [31232/46250]	Loss: 0.8936	LR: 0.100000
Training Epoch: 4 [31488/46250]	Loss: 0.8204	LR: 0.100000
Training Epoch: 4 [31744/46250]	Loss: 0.8732	LR: 0.100000
Training Epoch: 4 [32000/46250]	Loss: 0.9786	LR: 0.100000
Training Epoch: 4 [32256/46250]	Loss: 0.8751	LR: 0.100000
Training Epoch: 4 [32512/46250]	Loss: 0.7485	LR: 0.100000
Training Epoch: 4 [32768/46250]	Loss: 0.8087	LR: 0.100000
Training Epoch: 4 [33024/46250]	Loss: 0.8640	LR: 0.100000
Training Epoch: 4 [33280/46250]	Loss: 0.8576	LR: 0.100000
Training Epoch: 4 [33536/46250]	Loss: 0.6803	LR: 0.100000
Training Epoch: 4 [33792/46250]	Loss: 0.8603	LR: 0.100000
Training Epoch: 4 [34048/46250]	Loss: 0.8091	LR: 0.100000
Training Epoch: 4 [34304/46250]	Loss: 0.8550	LR: 0.100000
Training Epoch: 4 [34560/46250]	Loss: 0.9461	LR: 0.100000
Training Epoch: 4 [34816/46250]	Loss: 0.7553	LR: 0.100000
Training Epoch: 4 [35072/46250]	Loss: 0.7545	LR: 0.100000
Training Epoch: 4 [35328/46250]	Loss: 0.8820	LR: 0.100000
Training Epoch: 4 [35584/46250]	Loss: 0.7617	LR: 0.100000
Training Epoch: 4 [35840/46250]	Loss: 0.7476	LR: 0.100000
Training Epoch: 4 [36096/46250]	Loss: 0.7927	LR: 0.100000
Training Epoch: 4 [36352/46250]	Loss: 0.7223	LR: 0.100000
Training Epoch: 4 [36608/46250]	Loss: 0.8043	LR: 0.100000
Training Epoch: 4 [36864/46250]	Loss: 0.7629	LR: 0.100000
Training Epoch: 4 [37120/46250]	Loss: 0.8726	LR: 0.100000
Training Epoch: 4 [37376/46250]	Loss: 0.9173	LR: 0.100000
Training Epoch: 4 [37632/46250]	Loss: 0.7559	LR: 0.100000
Training Epoch: 4 [37888/46250]	Loss: 0.7218	LR: 0.100000
Training Epoch: 4 [38144/46250]	Loss: 0.8579	LR: 0.100000
Training Epoch: 4 [38400/46250]	Loss: 0.8590	LR: 0.100000
Training Epoch: 4 [38656/46250]	Loss: 0.8181	LR: 0.100000
Training Epoch: 4 [38912/46250]	Loss: 0.7354	LR: 0.100000
Training Epoch: 4 [39168/46250]	Loss: 0.6925	LR: 0.100000
Training Epoch: 4 [39424/46250]	Loss: 0.7702	LR: 0.100000
Training Epoch: 4 [39680/46250]	Loss: 0.8561	LR: 0.100000
Training Epoch: 4 [39936/46250]	Loss: 0.8812	LR: 0.100000
Training Epoch: 4 [40192/46250]	Loss: 0.7721	LR: 0.100000
Training Epoch: 4 [40448/46250]	Loss: 0.7897	LR: 0.100000
Training Epoch: 4 [40704/46250]	Loss: 0.8718	LR: 0.100000
Training Epoch: 4 [40960/46250]	Loss: 0.6927	LR: 0.100000
Training Epoch: 4 [41216/46250]	Loss: 0.8757	LR: 0.100000
Training Epoch: 4 [41472/46250]	Loss: 0.8631	LR: 0.100000
Training Epoch: 4 [41728/46250]	Loss: 0.8494	LR: 0.100000
Training Epoch: 4 [41984/46250]	Loss: 0.8680	LR: 0.100000
Training Epoch: 4 [42240/46250]	Loss: 0.8360	LR: 0.100000
Training Epoch: 4 [42496/46250]	Loss: 0.7594	LR: 0.100000
Training Epoch: 4 [42752/46250]	Loss: 0.7053	LR: 0.100000
Training Epoch: 4 [43008/46250]	Loss: 0.7802	LR: 0.100000
Training Epoch: 4 [43264/46250]	Loss: 0.8924	LR: 0.100000
Training Epoch: 4 [43520/46250]	Loss: 0.7421	LR: 0.100000
Training Epoch: 4 [43776/46250]	Loss: 0.8054	LR: 0.100000
Training Epoch: 4 [44032/46250]	Loss: 0.7425	LR: 0.100000
Training Epoch: 4 [44288/46250]	Loss: 0.7879	LR: 0.100000
Training Epoch: 4 [44544/46250]	Loss: 0.8872	LR: 0.100000
Training Epoch: 4 [44800/46250]	Loss: 0.6633	LR: 0.100000
Training Epoch: 4 [45056/46250]	Loss: 0.7258	LR: 0.100000
Training Epoch: 4 [45312/46250]	Loss: 0.8877	LR: 0.100000
Training Epoch: 4 [45568/46250]	Loss: 0.7163	LR: 0.100000
Training Epoch: 4 [45824/46250]	Loss: 0.7847	LR: 0.100000
Training Epoch: 4 [46080/46250]	Loss: 0.7453	LR: 0.100000
Training Epoch: 4 [46250/46250]	Loss: 0.8257	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8304, Train Accuracy: 0.7083
Epoch 4 training time consumed: 27.98s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0043, Accuracy: 0.6575, Time consumed:0.87s
Training Epoch: 5 [256/46250]	Loss: 1.0392	LR: 0.100000
Training Epoch: 5 [512/46250]	Loss: 0.7568	LR: 0.100000
Training Epoch: 5 [768/46250]	Loss: 0.6965	LR: 0.100000
Training Epoch: 5 [1024/46250]	Loss: 0.7947	LR: 0.100000
Training Epoch: 5 [1280/46250]	Loss: 0.8015	LR: 0.100000
Training Epoch: 5 [1536/46250]	Loss: 0.7982	LR: 0.100000
Training Epoch: 5 [1792/46250]	Loss: 0.6389	LR: 0.100000
Training Epoch: 5 [2048/46250]	Loss: 0.7784	LR: 0.100000
Training Epoch: 5 [2304/46250]	Loss: 0.8092	LR: 0.100000
Training Epoch: 5 [2560/46250]	Loss: 0.7057	LR: 0.100000
Training Epoch: 5 [2816/46250]	Loss: 0.7828	LR: 0.100000
Training Epoch: 5 [3072/46250]	Loss: 0.9142	LR: 0.100000
Training Epoch: 5 [3328/46250]	Loss: 0.6824	LR: 0.100000
Training Epoch: 5 [3584/46250]	Loss: 0.6689	LR: 0.100000
Training Epoch: 5 [3840/46250]	Loss: 0.7467	LR: 0.100000
Training Epoch: 5 [4096/46250]	Loss: 0.7871	LR: 0.100000
Training Epoch: 5 [4352/46250]	Loss: 0.6654	LR: 0.100000
Training Epoch: 5 [4608/46250]	Loss: 0.8944	LR: 0.100000
Training Epoch: 5 [4864/46250]	Loss: 0.8860	LR: 0.100000
Training Epoch: 5 [5120/46250]	Loss: 0.7608	LR: 0.100000
Training Epoch: 5 [5376/46250]	Loss: 0.6800	LR: 0.100000
Training Epoch: 5 [5632/46250]	Loss: 0.7773	LR: 0.100000
Training Epoch: 5 [5888/46250]	Loss: 0.6508	LR: 0.100000
Training Epoch: 5 [6144/46250]	Loss: 0.6951	LR: 0.100000
Training Epoch: 5 [6400/46250]	Loss: 0.6591	LR: 0.100000
Training Epoch: 5 [6656/46250]	Loss: 0.6839	LR: 0.100000
Training Epoch: 5 [6912/46250]	Loss: 0.8149	LR: 0.100000
Training Epoch: 5 [7168/46250]	Loss: 0.6236	LR: 0.100000
Training Epoch: 5 [7424/46250]	Loss: 0.8120	LR: 0.100000
Training Epoch: 5 [7680/46250]	Loss: 0.7087	LR: 0.100000
Training Epoch: 5 [7936/46250]	Loss: 0.7466	LR: 0.100000
Training Epoch: 5 [8192/46250]	Loss: 0.7659	LR: 0.100000
Training Epoch: 5 [8448/46250]	Loss: 0.8027	LR: 0.100000
Training Epoch: 5 [8704/46250]	Loss: 0.7156	LR: 0.100000
Training Epoch: 5 [8960/46250]	Loss: 0.7290	LR: 0.100000
Training Epoch: 5 [9216/46250]	Loss: 0.8240	LR: 0.100000
Training Epoch: 5 [9472/46250]	Loss: 0.7785	LR: 0.100000
Training Epoch: 5 [9728/46250]	Loss: 0.9176	LR: 0.100000
Training Epoch: 5 [9984/46250]	Loss: 0.8863	LR: 0.100000
Training Epoch: 5 [10240/46250]	Loss: 0.7524	LR: 0.100000
Training Epoch: 5 [10496/46250]	Loss: 0.7463	LR: 0.100000
Training Epoch: 5 [10752/46250]	Loss: 0.6561	LR: 0.100000
Training Epoch: 5 [11008/46250]	Loss: 0.7142	LR: 0.100000
Training Epoch: 5 [11264/46250]	Loss: 0.7537	LR: 0.100000
Training Epoch: 5 [11520/46250]	Loss: 0.7081	LR: 0.100000
Training Epoch: 5 [11776/46250]	Loss: 0.6920	LR: 0.100000
Training Epoch: 5 [12032/46250]	Loss: 0.6647	LR: 0.100000
Training Epoch: 5 [12288/46250]	Loss: 0.7355	LR: 0.100000
Training Epoch: 5 [12544/46250]	Loss: 0.7522	LR: 0.100000
Training Epoch: 5 [12800/46250]	Loss: 0.6567	LR: 0.100000
Training Epoch: 5 [13056/46250]	Loss: 0.8404	LR: 0.100000
Training Epoch: 5 [13312/46250]	Loss: 0.8469	LR: 0.100000
Training Epoch: 5 [13568/46250]	Loss: 0.7019	LR: 0.100000
Training Epoch: 5 [13824/46250]	Loss: 0.6699	LR: 0.100000
Training Epoch: 5 [14080/46250]	Loss: 0.9001	LR: 0.100000
Training Epoch: 5 [14336/46250]	Loss: 0.5733	LR: 0.100000
Training Epoch: 5 [14592/46250]	Loss: 0.6455	LR: 0.100000
Training Epoch: 5 [14848/46250]	Loss: 0.7367	LR: 0.100000
Training Epoch: 5 [15104/46250]	Loss: 0.7059	LR: 0.100000
Training Epoch: 5 [15360/46250]	Loss: 0.7543	LR: 0.100000
Training Epoch: 5 [15616/46250]	Loss: 0.9145	LR: 0.100000
Training Epoch: 5 [15872/46250]	Loss: 0.7140	LR: 0.100000
Training Epoch: 5 [16128/46250]	Loss: 0.8247	LR: 0.100000
Training Epoch: 5 [16384/46250]	Loss: 0.8058	LR: 0.100000
Training Epoch: 5 [16640/46250]	Loss: 0.7813	LR: 0.100000
Training Epoch: 5 [16896/46250]	Loss: 0.7945	LR: 0.100000
Training Epoch: 5 [17152/46250]	Loss: 0.7443	LR: 0.100000
Training Epoch: 5 [17408/46250]	Loss: 0.7762	LR: 0.100000
Training Epoch: 5 [17664/46250]	Loss: 0.6992	LR: 0.100000
Training Epoch: 5 [17920/46250]	Loss: 0.7181	LR: 0.100000
Training Epoch: 5 [18176/46250]	Loss: 0.7676	LR: 0.100000
Training Epoch: 5 [18432/46250]	Loss: 0.6455	LR: 0.100000
Training Epoch: 5 [18688/46250]	Loss: 0.6878	LR: 0.100000
Training Epoch: 5 [18944/46250]	Loss: 0.6399	LR: 0.100000
Training Epoch: 5 [19200/46250]	Loss: 0.7496	LR: 0.100000
Training Epoch: 5 [19456/46250]	Loss: 0.7757	LR: 0.100000
Training Epoch: 5 [19712/46250]	Loss: 0.6106	LR: 0.100000
Training Epoch: 5 [19968/46250]	Loss: 0.6886	LR: 0.100000
Training Epoch: 5 [20224/46250]	Loss: 0.7829	LR: 0.100000
Training Epoch: 5 [20480/46250]	Loss: 0.6855	LR: 0.100000
Training Epoch: 5 [20736/46250]	Loss: 0.7999	LR: 0.100000
Training Epoch: 5 [20992/46250]	Loss: 0.7615	LR: 0.100000
Training Epoch: 5 [21248/46250]	Loss: 0.7505	LR: 0.100000
Training Epoch: 5 [21504/46250]	Loss: 0.7861	LR: 0.100000
Training Epoch: 5 [21760/46250]	Loss: 0.6250	LR: 0.100000
Training Epoch: 5 [22016/46250]	Loss: 0.7410	LR: 0.100000
Training Epoch: 5 [22272/46250]	Loss: 0.7221	LR: 0.100000
Training Epoch: 5 [22528/46250]	Loss: 0.7598	LR: 0.100000
Training Epoch: 5 [22784/46250]	Loss: 0.7031	LR: 0.100000
Training Epoch: 5 [23040/46250]	Loss: 0.7333	LR: 0.100000
Training Epoch: 5 [23296/46250]	Loss: 0.7902	LR: 0.100000
Training Epoch: 5 [23552/46250]	Loss: 0.8539	LR: 0.100000
Training Epoch: 5 [23808/46250]	Loss: 0.7975	LR: 0.100000
Training Epoch: 5 [24064/46250]	Loss: 0.6951	LR: 0.100000
Training Epoch: 5 [24320/46250]	Loss: 0.8384	LR: 0.100000
Training Epoch: 5 [24576/46250]	Loss: 0.7935	LR: 0.100000
Training Epoch: 5 [24832/46250]	Loss: 0.7433	LR: 0.100000
Training Epoch: 5 [25088/46250]	Loss: 0.6936	LR: 0.100000
Training Epoch: 5 [25344/46250]	Loss: 0.7924	LR: 0.100000
Training Epoch: 5 [25600/46250]	Loss: 0.6743	LR: 0.100000
Training Epoch: 5 [25856/46250]	Loss: 0.6908	LR: 0.100000
Training Epoch: 5 [26112/46250]	Loss: 0.8359	LR: 0.100000
Training Epoch: 5 [26368/46250]	Loss: 0.7310	LR: 0.100000
Training Epoch: 5 [26624/46250]	Loss: 0.7622	LR: 0.100000
Training Epoch: 5 [26880/46250]	Loss: 0.9596	LR: 0.100000
Training Epoch: 5 [27136/46250]	Loss: 0.7383	LR: 0.100000
Training Epoch: 5 [27392/46250]	Loss: 0.7484	LR: 0.100000
Training Epoch: 5 [27648/46250]	Loss: 0.7389	LR: 0.100000
Training Epoch: 5 [27904/46250]	Loss: 0.7003	LR: 0.100000
Training Epoch: 5 [28160/46250]	Loss: 0.6207	LR: 0.100000
Training Epoch: 5 [28416/46250]	Loss: 0.7043	LR: 0.100000
Training Epoch: 5 [28672/46250]	Loss: 0.7309	LR: 0.100000
Training Epoch: 5 [28928/46250]	Loss: 0.6160	LR: 0.100000
Training Epoch: 5 [29184/46250]	Loss: 0.7025	LR: 0.100000
Training Epoch: 5 [29440/46250]	Loss: 0.7506	LR: 0.100000
Training Epoch: 5 [29696/46250]	Loss: 0.7030	LR: 0.100000
Training Epoch: 5 [29952/46250]	Loss: 0.7813	LR: 0.100000
Training Epoch: 5 [30208/46250]	Loss: 0.6027	LR: 0.100000
Training Epoch: 5 [30464/46250]	Loss: 0.8172	LR: 0.100000
Training Epoch: 5 [30720/46250]	Loss: 0.6815	LR: 0.100000
Training Epoch: 5 [30976/46250]	Loss: 0.6569	LR: 0.100000
Training Epoch: 5 [31232/46250]	Loss: 0.8278	LR: 0.100000
Training Epoch: 5 [31488/46250]	Loss: 0.7026	LR: 0.100000
Training Epoch: 5 [31744/46250]	Loss: 0.6462	LR: 0.100000
Training Epoch: 5 [32000/46250]	Loss: 0.7698	LR: 0.100000
Training Epoch: 5 [32256/46250]	Loss: 0.7744	LR: 0.100000
Training Epoch: 5 [32512/46250]	Loss: 0.6948	LR: 0.100000
Training Epoch: 5 [32768/46250]	Loss: 0.6885	LR: 0.100000
Training Epoch: 5 [33024/46250]	Loss: 0.6018	LR: 0.100000
Training Epoch: 5 [33280/46250]	Loss: 0.7502	LR: 0.100000
Training Epoch: 5 [33536/46250]	Loss: 0.7671	LR: 0.100000
Training Epoch: 5 [33792/46250]	Loss: 0.7605	LR: 0.100000
Training Epoch: 5 [34048/46250]	Loss: 0.6172	LR: 0.100000
Training Epoch: 5 [34304/46250]	Loss: 0.7179	LR: 0.100000
Training Epoch: 5 [34560/46250]	Loss: 0.6872	LR: 0.100000
Training Epoch: 5 [34816/46250]	Loss: 0.7074	LR: 0.100000
Training Epoch: 5 [35072/46250]	Loss: 0.7562	LR: 0.100000
Training Epoch: 5 [35328/46250]	Loss: 0.7180	LR: 0.100000
Training Epoch: 5 [35584/46250]	Loss: 0.6829	LR: 0.100000
Training Epoch: 5 [35840/46250]	Loss: 0.7355	LR: 0.100000
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Training Epoch: 5 [46250/46250]	Loss: 0.6393	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7338, Train Accuracy: 0.7418
Epoch 5 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0032, Accuracy: 0.7380, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.6672	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.6139	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6638, Train Accuracy: 0.7669
Epoch 6 training time consumed: 27.96s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0032, Accuracy: 0.7401, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.5758	LR: 0.100000
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Training Epoch: 7 [46250/46250]	Loss: 0.6936	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6135, Train Accuracy: 0.7868
Epoch 7 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.7867, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5436	LR: 0.020000
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Training Epoch: 8 [45824/46250]	Loss: 0.3539	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.4645	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.2919	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4575, Train Accuracy: 0.8395
Epoch 8 training time consumed: 27.76s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8485, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.4730	LR: 0.020000
Training Epoch: 9 [512/46250]	Loss: 0.4835	LR: 0.020000
Training Epoch: 9 [768/46250]	Loss: 0.3653	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4147	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.3983	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4119, Train Accuracy: 0.8565
Epoch 9 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8585, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.3292	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4205	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3291	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.4263	LR: 0.020000
Training Epoch: 10 [1280/46250]	Loss: 0.4212	LR: 0.020000
Training Epoch: 10 [1536/46250]	Loss: 0.4162	LR: 0.020000
Training Epoch: 10 [1792/46250]	Loss: 0.4344	LR: 0.020000
Training Epoch: 10 [2048/46250]	Loss: 0.3723	LR: 0.020000
Training Epoch: 10 [2304/46250]	Loss: 0.3665	LR: 0.020000
Training Epoch: 10 [2560/46250]	Loss: 0.3173	LR: 0.020000
Training Epoch: 10 [2816/46250]	Loss: 0.4260	LR: 0.020000
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Training Epoch: 10 [3584/46250]	Loss: 0.3734	LR: 0.020000
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Training Epoch: 10 [24576/46250]	Loss: 0.5154	LR: 0.020000
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Training Epoch: 10 [25088/46250]	Loss: 0.4246	LR: 0.020000
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Training Epoch: 10 [25600/46250]	Loss: 0.4188	LR: 0.020000
Training Epoch: 10 [25856/46250]	Loss: 0.2992	LR: 0.020000
Training Epoch: 10 [26112/46250]	Loss: 0.3491	LR: 0.020000
Training Epoch: 10 [26368/46250]	Loss: 0.3757	LR: 0.020000
Training Epoch: 10 [26624/46250]	Loss: 0.3580	LR: 0.020000
Training Epoch: 10 [26880/46250]	Loss: 0.4863	LR: 0.020000
Training Epoch: 10 [27136/46250]	Loss: 0.4476	LR: 0.020000
Training Epoch: 10 [27392/46250]	Loss: 0.3964	LR: 0.020000
Training Epoch: 10 [27648/46250]	Loss: 0.3980	LR: 0.020000
Training Epoch: 10 [27904/46250]	Loss: 0.4812	LR: 0.020000
Training Epoch: 10 [28160/46250]	Loss: 0.2802	LR: 0.020000
Training Epoch: 10 [28416/46250]	Loss: 0.4265	LR: 0.020000
Training Epoch: 10 [28672/46250]	Loss: 0.4128	LR: 0.020000
Training Epoch: 10 [28928/46250]	Loss: 0.4147	LR: 0.020000
Training Epoch: 10 [29184/46250]	Loss: 0.3957	LR: 0.020000
Training Epoch: 10 [29440/46250]	Loss: 0.4880	LR: 0.020000
Training Epoch: 10 [29696/46250]	Loss: 0.3957	LR: 0.020000
Training Epoch: 10 [29952/46250]	Loss: 0.4163	LR: 0.020000
Training Epoch: 10 [30208/46250]	Loss: 0.3858	LR: 0.020000
Training Epoch: 10 [30464/46250]	Loss: 0.4234	LR: 0.020000
Training Epoch: 10 [30720/46250]	Loss: 0.3710	LR: 0.020000
Training Epoch: 10 [30976/46250]	Loss: 0.3304	LR: 0.020000
Training Epoch: 10 [31232/46250]	Loss: 0.4728	LR: 0.020000
Training Epoch: 10 [31488/46250]	Loss: 0.3146	LR: 0.020000
Training Epoch: 10 [31744/46250]	Loss: 0.3846	LR: 0.020000
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Training Epoch: 10 [36352/46250]	Loss: 0.3391	LR: 0.020000
Training Epoch: 10 [36608/46250]	Loss: 0.3684	LR: 0.020000
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Training Epoch: 10 [37120/46250]	Loss: 0.4198	LR: 0.020000
Training Epoch: 10 [37376/46250]	Loss: 0.3267	LR: 0.020000
Training Epoch: 10 [37632/46250]	Loss: 0.3636	LR: 0.020000
Training Epoch: 10 [37888/46250]	Loss: 0.4219	LR: 0.020000
Training Epoch: 10 [38144/46250]	Loss: 0.4068	LR: 0.020000
Training Epoch: 10 [38400/46250]	Loss: 0.3631	LR: 0.020000
Training Epoch: 10 [38656/46250]	Loss: 0.4122	LR: 0.020000
Training Epoch: 10 [38912/46250]	Loss: 0.4178	LR: 0.020000
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Training Epoch: 10 [39680/46250]	Loss: 0.3714	LR: 0.020000
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Training Epoch: 10 [40192/46250]	Loss: 0.3277	LR: 0.020000
Training Epoch: 10 [40448/46250]	Loss: 0.4008	LR: 0.020000
Training Epoch: 10 [40704/46250]	Loss: 0.3610	LR: 0.020000
Training Epoch: 10 [40960/46250]	Loss: 0.4515	LR: 0.020000
Training Epoch: 10 [41216/46250]	Loss: 0.3428	LR: 0.020000
Training Epoch: 10 [41472/46250]	Loss: 0.3770	LR: 0.020000
Training Epoch: 10 [41728/46250]	Loss: 0.4078	LR: 0.020000
Training Epoch: 10 [41984/46250]	Loss: 0.4101	LR: 0.020000
Training Epoch: 10 [42240/46250]	Loss: 0.4224	LR: 0.020000
Training Epoch: 10 [42496/46250]	Loss: 0.3522	LR: 0.020000
Training Epoch: 10 [42752/46250]	Loss: 0.4025	LR: 0.020000
Training Epoch: 10 [43008/46250]	Loss: 0.4579	LR: 0.020000
Training Epoch: 10 [43264/46250]	Loss: 0.4014	LR: 0.020000
Training Epoch: 10 [43520/46250]	Loss: 0.4301	LR: 0.020000
Training Epoch: 10 [43776/46250]	Loss: 0.4289	LR: 0.020000
Training Epoch: 10 [44032/46250]	Loss: 0.4226	LR: 0.020000
Training Epoch: 10 [44288/46250]	Loss: 0.3218	LR: 0.020000
Training Epoch: 10 [44544/46250]	Loss: 0.5098	LR: 0.020000
Training Epoch: 10 [44800/46250]	Loss: 0.3750	LR: 0.020000
Training Epoch: 10 [45056/46250]	Loss: 0.2703	LR: 0.020000
Training Epoch: 10 [45312/46250]	Loss: 0.3434	LR: 0.020000
Training Epoch: 10 [45568/46250]	Loss: 0.2901	LR: 0.020000
Training Epoch: 10 [45824/46250]	Loss: 0.3940	LR: 0.020000
Training Epoch: 10 [46080/46250]	Loss: 0.3243	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.3371	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3926, Train Accuracy: 0.8624
Epoch 10 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8570, Time consumed:0.91s
Training Epoch: 11 [256/46250]	Loss: 0.3300	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.4278	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.4276	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.3615	LR: 0.020000
Training Epoch: 11 [1280/46250]	Loss: 0.3729	LR: 0.020000
Training Epoch: 11 [1536/46250]	Loss: 0.5320	LR: 0.020000
Training Epoch: 11 [1792/46250]	Loss: 0.3076	LR: 0.020000
Training Epoch: 11 [2048/46250]	Loss: 0.3827	LR: 0.020000
Training Epoch: 11 [2304/46250]	Loss: 0.4019	LR: 0.020000
Training Epoch: 11 [2560/46250]	Loss: 0.3579	LR: 0.020000
Training Epoch: 11 [2816/46250]	Loss: 0.3963	LR: 0.020000
Training Epoch: 11 [3072/46250]	Loss: 0.3589	LR: 0.020000
Training Epoch: 11 [3328/46250]	Loss: 0.3538	LR: 0.020000
Training Epoch: 11 [3584/46250]	Loss: 0.3310	LR: 0.020000
Training Epoch: 11 [3840/46250]	Loss: 0.3841	LR: 0.020000
Training Epoch: 11 [4096/46250]	Loss: 0.3293	LR: 0.020000
Training Epoch: 11 [4352/46250]	Loss: 0.3715	LR: 0.020000
Training Epoch: 11 [4608/46250]	Loss: 0.4566	LR: 0.020000
Training Epoch: 11 [4864/46250]	Loss: 0.3785	LR: 0.020000
Training Epoch: 11 [5120/46250]	Loss: 0.3717	LR: 0.020000
Training Epoch: 11 [5376/46250]	Loss: 0.4077	LR: 0.020000
Training Epoch: 11 [5632/46250]	Loss: 0.3614	LR: 0.020000
Training Epoch: 11 [5888/46250]	Loss: 0.3704	LR: 0.020000
Training Epoch: 11 [6144/46250]	Loss: 0.4206	LR: 0.020000
Training Epoch: 11 [6400/46250]	Loss: 0.3835	LR: 0.020000
Training Epoch: 11 [6656/46250]	Loss: 0.4272	LR: 0.020000
Training Epoch: 11 [6912/46250]	Loss: 0.3041	LR: 0.020000
Training Epoch: 11 [7168/46250]	Loss: 0.4245	LR: 0.020000
Training Epoch: 11 [7424/46250]	Loss: 0.3046	LR: 0.020000
Training Epoch: 11 [7680/46250]	Loss: 0.3054	LR: 0.020000
Training Epoch: 11 [7936/46250]	Loss: 0.3356	LR: 0.020000
Training Epoch: 11 [8192/46250]	Loss: 0.3632	LR: 0.020000
Training Epoch: 11 [8448/46250]	Loss: 0.4424	LR: 0.020000
Training Epoch: 11 [8704/46250]	Loss: 0.3728	LR: 0.020000
Training Epoch: 11 [8960/46250]	Loss: 0.3505	LR: 0.020000
Training Epoch: 11 [9216/46250]	Loss: 0.4148	LR: 0.020000
Training Epoch: 11 [9472/46250]	Loss: 0.4178	LR: 0.020000
Training Epoch: 11 [9728/46250]	Loss: 0.4637	LR: 0.020000
Training Epoch: 11 [9984/46250]	Loss: 0.4134	LR: 0.020000
Training Epoch: 11 [10240/46250]	Loss: 0.4725	LR: 0.020000
Training Epoch: 11 [10496/46250]	Loss: 0.4110	LR: 0.020000
Training Epoch: 11 [10752/46250]	Loss: 0.4061	LR: 0.020000
Training Epoch: 11 [11008/46250]	Loss: 0.3309	LR: 0.020000
Training Epoch: 11 [11264/46250]	Loss: 0.3683	LR: 0.020000
Training Epoch: 11 [11520/46250]	Loss: 0.3405	LR: 0.020000
Training Epoch: 11 [11776/46250]	Loss: 0.3918	LR: 0.020000
Training Epoch: 11 [12032/46250]	Loss: 0.3640	LR: 0.020000
Training Epoch: 11 [12288/46250]	Loss: 0.3545	LR: 0.020000
Training Epoch: 11 [12544/46250]	Loss: 0.3680	LR: 0.020000
Training Epoch: 11 [12800/46250]	Loss: 0.3530	LR: 0.020000
Training Epoch: 11 [13056/46250]	Loss: 0.3812	LR: 0.020000
Training Epoch: 11 [13312/46250]	Loss: 0.3548	LR: 0.020000
Training Epoch: 11 [13568/46250]	Loss: 0.4859	LR: 0.020000
Training Epoch: 11 [13824/46250]	Loss: 0.4109	LR: 0.020000
Training Epoch: 11 [14080/46250]	Loss: 0.3835	LR: 0.020000
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Training Epoch: 11 [15104/46250]	Loss: 0.3586	LR: 0.020000
Training Epoch: 11 [15360/46250]	Loss: 0.3393	LR: 0.020000
Training Epoch: 11 [15616/46250]	Loss: 0.3904	LR: 0.020000
Training Epoch: 11 [15872/46250]	Loss: 0.4323	LR: 0.020000
Training Epoch: 11 [16128/46250]	Loss: 0.2924	LR: 0.020000
Training Epoch: 11 [16384/46250]	Loss: 0.3604	LR: 0.020000
Training Epoch: 11 [16640/46250]	Loss: 0.3625	LR: 0.020000
Training Epoch: 11 [16896/46250]	Loss: 0.4148	LR: 0.020000
Training Epoch: 11 [17152/46250]	Loss: 0.3719	LR: 0.020000
Training Epoch: 11 [17408/46250]	Loss: 0.3112	LR: 0.020000
Training Epoch: 11 [17664/46250]	Loss: 0.3816	LR: 0.020000
Training Epoch: 11 [17920/46250]	Loss: 0.3707	LR: 0.020000
Training Epoch: 11 [18176/46250]	Loss: 0.3288	LR: 0.020000
Training Epoch: 11 [18432/46250]	Loss: 0.3525	LR: 0.020000
Training Epoch: 11 [18688/46250]	Loss: 0.3846	LR: 0.020000
Training Epoch: 11 [18944/46250]	Loss: 0.3516	LR: 0.020000
Training Epoch: 11 [19200/46250]	Loss: 0.3435	LR: 0.020000
Training Epoch: 11 [19456/46250]	Loss: 0.4505	LR: 0.020000
Training Epoch: 11 [19712/46250]	Loss: 0.3352	LR: 0.020000
Training Epoch: 11 [19968/46250]	Loss: 0.3872	LR: 0.020000
Training Epoch: 11 [20224/46250]	Loss: 0.3056	LR: 0.020000
Training Epoch: 11 [20480/46250]	Loss: 0.3578	LR: 0.020000
Training Epoch: 11 [20736/46250]	Loss: 0.3794	LR: 0.020000
Training Epoch: 11 [20992/46250]	Loss: 0.4038	LR: 0.020000
Training Epoch: 11 [21248/46250]	Loss: 0.3814	LR: 0.020000
Training Epoch: 11 [21504/46250]	Loss: 0.3806	LR: 0.020000
Training Epoch: 11 [21760/46250]	Loss: 0.3646	LR: 0.020000
Training Epoch: 11 [22016/46250]	Loss: 0.3106	LR: 0.020000
Training Epoch: 11 [22272/46250]	Loss: 0.3932	LR: 0.020000
Training Epoch: 11 [22528/46250]	Loss: 0.3436	LR: 0.020000
Training Epoch: 11 [22784/46250]	Loss: 0.3995	LR: 0.020000
Training Epoch: 11 [23040/46250]	Loss: 0.2664	LR: 0.020000
Training Epoch: 11 [23296/46250]	Loss: 0.4160	LR: 0.020000
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Training Epoch: 11 [25088/46250]	Loss: 0.3905	LR: 0.020000
Training Epoch: 11 [25344/46250]	Loss: 0.3291	LR: 0.020000
Training Epoch: 11 [25600/46250]	Loss: 0.3346	LR: 0.020000
Training Epoch: 11 [25856/46250]	Loss: 0.3381	LR: 0.020000
Training Epoch: 11 [26112/46250]	Loss: 0.4477	LR: 0.020000
Training Epoch: 11 [26368/46250]	Loss: 0.4342	LR: 0.020000
Training Epoch: 11 [26624/46250]	Loss: 0.3709	LR: 0.020000
Training Epoch: 11 [26880/46250]	Loss: 0.2751	LR: 0.020000
Training Epoch: 11 [27136/46250]	Loss: 0.3578	LR: 0.020000
Training Epoch: 11 [27392/46250]	Loss: 0.4103	LR: 0.020000
Training Epoch: 11 [27648/46250]	Loss: 0.3700	LR: 0.020000
Training Epoch: 11 [27904/46250]	Loss: 0.3582	LR: 0.020000
Training Epoch: 11 [28160/46250]	Loss: 0.3628	LR: 0.020000
Training Epoch: 11 [28416/46250]	Loss: 0.4342	LR: 0.020000
Training Epoch: 11 [28672/46250]	Loss: 0.3182	LR: 0.020000
Training Epoch: 11 [28928/46250]	Loss: 0.4082	LR: 0.020000
Training Epoch: 11 [29184/46250]	Loss: 0.4145	LR: 0.020000
Training Epoch: 11 [29440/46250]	Loss: 0.4473	LR: 0.020000
Training Epoch: 11 [29696/46250]	Loss: 0.3086	LR: 0.020000
Training Epoch: 11 [29952/46250]	Loss: 0.3808	LR: 0.020000
Training Epoch: 11 [30208/46250]	Loss: 0.3556	LR: 0.020000
Training Epoch: 11 [30464/46250]	Loss: 0.4032	LR: 0.020000
Training Epoch: 11 [30720/46250]	Loss: 0.3812	LR: 0.020000
Training Epoch: 11 [30976/46250]	Loss: 0.3949	LR: 0.020000
Training Epoch: 11 [31232/46250]	Loss: 0.4214	LR: 0.020000
Training Epoch: 11 [31488/46250]	Loss: 0.3791	LR: 0.020000
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Training Epoch: 11 [32000/46250]	Loss: 0.3264	LR: 0.020000
Training Epoch: 11 [32256/46250]	Loss: 0.3966	LR: 0.020000
Training Epoch: 11 [32512/46250]	Loss: 0.4413	LR: 0.020000
Training Epoch: 11 [32768/46250]	Loss: 0.2908	LR: 0.020000
Training Epoch: 11 [33024/46250]	Loss: 0.4059	LR: 0.020000
Training Epoch: 11 [33280/46250]	Loss: 0.3434	LR: 0.020000
Training Epoch: 11 [33536/46250]	Loss: 0.3749	LR: 0.020000
Training Epoch: 11 [33792/46250]	Loss: 0.4618	LR: 0.020000
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Training Epoch: 11 [34816/46250]	Loss: 0.3299	LR: 0.020000
Training Epoch: 11 [35072/46250]	Loss: 0.3896	LR: 0.020000
Training Epoch: 11 [35328/46250]	Loss: 0.3406	LR: 0.020000
Training Epoch: 11 [35584/46250]	Loss: 0.3652	LR: 0.020000
Training Epoch: 11 [35840/46250]	Loss: 0.3781	LR: 0.020000
Training Epoch: 11 [36096/46250]	Loss: 0.2895	LR: 0.020000
Training Epoch: 11 [36352/46250]	Loss: 0.2799	LR: 0.020000
Training Epoch: 11 [36608/46250]	Loss: 0.5105	LR: 0.020000
Training Epoch: 11 [36864/46250]	Loss: 0.3728	LR: 0.020000
Training Epoch: 11 [37120/46250]	Loss: 0.2940	LR: 0.020000
Training Epoch: 11 [37376/46250]	Loss: 0.5560	LR: 0.020000
Training Epoch: 11 [37632/46250]	Loss: 0.4138	LR: 0.020000
Training Epoch: 11 [37888/46250]	Loss: 0.3404	LR: 0.020000
Training Epoch: 11 [38144/46250]	Loss: 0.3979	LR: 0.020000
Training Epoch: 11 [38400/46250]	Loss: 0.3685	LR: 0.020000
Training Epoch: 11 [38656/46250]	Loss: 0.2712	LR: 0.020000
Training Epoch: 11 [38912/46250]	Loss: 0.3221	LR: 0.020000
Training Epoch: 11 [39168/46250]	Loss: 0.4559	LR: 0.020000
Training Epoch: 11 [39424/46250]	Loss: 0.3586	LR: 0.020000
Training Epoch: 11 [39680/46250]	Loss: 0.3770	LR: 0.020000
Training Epoch: 11 [39936/46250]	Loss: 0.5350	LR: 0.020000
Training Epoch: 11 [40192/46250]	Loss: 0.3486	LR: 0.020000
Training Epoch: 11 [40448/46250]	Loss: 0.3266	LR: 0.020000
Training Epoch: 11 [40704/46250]	Loss: 0.3589	LR: 0.020000
Training Epoch: 11 [40960/46250]	Loss: 0.3967	LR: 0.020000
Training Epoch: 11 [41216/46250]	Loss: 0.3527	LR: 0.020000
Training Epoch: 11 [41472/46250]	Loss: 0.2726	LR: 0.020000
Training Epoch: 11 [41728/46250]	Loss: 0.3741	LR: 0.020000
Training Epoch: 11 [41984/46250]	Loss: 0.4055	LR: 0.020000
Training Epoch: 11 [42240/46250]	Loss: 0.3396	LR: 0.020000
Training Epoch: 11 [42496/46250]	Loss: 0.4143	LR: 0.020000
Training Epoch: 11 [42752/46250]	Loss: 0.3950	LR: 0.020000
Training Epoch: 11 [43008/46250]	Loss: 0.4193	LR: 0.020000
Training Epoch: 11 [43264/46250]	Loss: 0.3884	LR: 0.020000
Training Epoch: 11 [43520/46250]	Loss: 0.3764	LR: 0.020000
Training Epoch: 11 [43776/46250]	Loss: 0.4166	LR: 0.020000
Training Epoch: 11 [44032/46250]	Loss: 0.2834	LR: 0.020000
Training Epoch: 11 [44288/46250]	Loss: 0.3396	LR: 0.020000
Training Epoch: 11 [44544/46250]	Loss: 0.4803	LR: 0.020000
Training Epoch: 11 [44800/46250]	Loss: 0.3755	LR: 0.020000
Training Epoch: 11 [45056/46250]	Loss: 0.3702	LR: 0.020000
Training Epoch: 11 [45312/46250]	Loss: 0.3242	LR: 0.020000
Training Epoch: 11 [45568/46250]	Loss: 0.3854	LR: 0.020000
Training Epoch: 11 [45824/46250]	Loss: 0.3222	LR: 0.020000
Training Epoch: 11 [46080/46250]	Loss: 0.3627	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3167	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3753, Train Accuracy: 0.8676
Epoch 11 training time consumed: 27.83s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8515, Time consumed:0.93s
Training Epoch: 12 [256/46250]	Loss: 0.3623	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.3340	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3227	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3495	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3012	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3564	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3655	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.4495	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.3593	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.3225	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3656	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.3802	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.3912	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3715	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3072	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.2651	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3178	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.3548	LR: 0.004000
Training Epoch: 12 [4864/46250]	Loss: 0.3268	LR: 0.004000
Training Epoch: 12 [5120/46250]	Loss: 0.3392	LR: 0.004000
Training Epoch: 12 [5376/46250]	Loss: 0.3948	LR: 0.004000
Training Epoch: 12 [5632/46250]	Loss: 0.3519	LR: 0.004000
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Training Epoch: 12 [46080/46250]	Loss: 0.3035	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.3224	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3251, Train Accuracy: 0.8868
Epoch 12 training time consumed: 27.81s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8763, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.2217	LR: 0.004000
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Training Epoch: 13 [32256/46250]	Loss: 0.4241	LR: 0.004000
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Training Epoch: 13 [42752/46250]	Loss: 0.1978	LR: 0.004000
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Training Epoch: 13 [43264/46250]	Loss: 0.3230	LR: 0.004000
Training Epoch: 13 [43520/46250]	Loss: 0.3094	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3366	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.3324	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3153	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3192	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.3397	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.3457	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2573	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.3291	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.3547	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.2396	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.2869	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3079, Train Accuracy: 0.8919
Epoch 13 training time consumed: 27.94s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8800, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.3074	LR: 0.004000
Training Epoch: 14 [512/46250]	Loss: 0.2846	LR: 0.004000
Training Epoch: 14 [768/46250]	Loss: 0.2941	LR: 0.004000
Training Epoch: 14 [1024/46250]	Loss: 0.3308	LR: 0.004000
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Training Epoch: 14 [44288/46250]	Loss: 0.2913	LR: 0.004000
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Training Epoch: 14 [44800/46250]	Loss: 0.3781	LR: 0.004000
Training Epoch: 14 [45056/46250]	Loss: 0.2389	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.3488	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.3456	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2998, Train Accuracy: 0.8948
Epoch 14 training time consumed: 27.92s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8815, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-14-best.pth
Training Epoch: 15 [256/46250]	Loss: 0.2342	LR: 0.004000
Training Epoch: 15 [512/46250]	Loss: 0.2790	LR: 0.004000
Training Epoch: 15 [768/46250]	Loss: 0.2796	LR: 0.004000
Training Epoch: 15 [1024/46250]	Loss: 0.2455	LR: 0.004000
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Training Epoch: 15 [1536/46250]	Loss: 0.2866	LR: 0.004000
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Training Epoch: 15 [46080/46250]	Loss: 0.3895	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.3616	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2968, Train Accuracy: 0.8963
Epoch 15 training time consumed: 27.78s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8846, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-15-best.pth
Training Epoch: 16 [256/46250]	Loss: 0.3190	LR: 0.000800
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Training Epoch: 16 [1536/46250]	Loss: 0.2688	LR: 0.000800
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Training Epoch: 16 [38400/46250]	Loss: 0.3212	LR: 0.000800
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Training Epoch: 16 [41984/46250]	Loss: 0.2894	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.3566	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.3121	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2107	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2979	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2701	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.2461	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2669	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.2941	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.2832	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2304	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.2549	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2858	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2564	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2174	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.3321	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.2282	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.2893	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2807, Train Accuracy: 0.9018
Epoch 16 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8853, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2724	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.3438	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.3169	LR: 0.000800
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Training Epoch: 17 [1280/46250]	Loss: 0.2527	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.2519	LR: 0.000800
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Training Epoch: 17 [2048/46250]	Loss: 0.2701	LR: 0.000800
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Training Epoch: 17 [43520/46250]	Loss: 0.2755	LR: 0.000800
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Training Epoch: 17 [44288/46250]	Loss: 0.2842	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.2709	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2488	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.3096	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.3038	LR: 0.000800
Training Epoch: 17 [45568/46250]	Loss: 0.2584	LR: 0.000800
Training Epoch: 17 [45824/46250]	Loss: 0.3295	LR: 0.000800
Training Epoch: 17 [46080/46250]	Loss: 0.2375	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.2277	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2757, Train Accuracy: 0.9035
Epoch 17 training time consumed: 27.84s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8860, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2774	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.2476	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.3064	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2393	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.3294	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.3202	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.2541	LR: 0.000800
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Training Epoch: 18 [29952/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.2694	LR: 0.000800
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Training Epoch: 18 [40448/46250]	Loss: 0.2975	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2259	LR: 0.000800
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Training Epoch: 18 [41472/46250]	Loss: 0.2851	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.3131	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.2989	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.3085	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.3090	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.3356	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.2981	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.2648	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2902	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.2560	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.3401	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2638	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.3101	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.2859	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.3012	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.3333	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2761	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2442	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2682	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2799, Train Accuracy: 0.9014
Epoch 18 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8872, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-18-best.pth
Training Epoch: 19 [256/46250]	Loss: 0.2443	LR: 0.000800
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Training Epoch: 19 [1280/46250]	Loss: 0.2613	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.2288	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.2830	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2469	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.3312	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.1847	LR: 0.000800
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Training Epoch: 19 [3072/46250]	Loss: 0.2738	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.2562	LR: 0.000800
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Training Epoch: 19 [4352/46250]	Loss: 0.2701	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.3465	LR: 0.000800
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Training Epoch: 19 [5376/46250]	Loss: 0.3244	LR: 0.000800
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Training Epoch: 19 [6144/46250]	Loss: 0.3344	LR: 0.000800
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Training Epoch: 19 [6656/46250]	Loss: 0.3553	LR: 0.000800
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Training Epoch: 19 [11008/46250]	Loss: 0.2603	LR: 0.000800
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Training Epoch: 19 [24576/46250]	Loss: 0.2016	LR: 0.000800
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Training Epoch: 19 [27904/46250]	Loss: 0.2051	LR: 0.000800
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Training Epoch: 19 [44544/46250]	Loss: 0.2318	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.2966	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2034	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.3000	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.2150	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.1981	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.3247	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2706, Train Accuracy: 0.9040
Epoch 19 training time consumed: 28.45s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8865, Time consumed:0.87s
Training Epoch: 20 [256/46250]	Loss: 0.2420	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.3137	LR: 0.000800
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Training Epoch: 20 [1536/46250]	Loss: 0.2898	LR: 0.000800
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Training Epoch: 20 [44544/46250]	Loss: 0.3382	LR: 0.000800
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Training Epoch: 20 [45056/46250]	Loss: 0.3160	LR: 0.000800
Training Epoch: 20 [45312/46250]	Loss: 0.2522	LR: 0.000800
Training Epoch: 20 [45568/46250]	Loss: 0.2745	LR: 0.000800
Training Epoch: 20 [45824/46250]	Loss: 0.3223	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.3014	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.3299	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2725, Train Accuracy: 0.9045
Epoch 20 training time consumed: 28.01s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8873, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_28m_18s/ResNet18-Cifar10-seed3-ret25-20-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  46250
Forget Train Dl:  3750
Retain Valid Dl:  46250
Forget Valid Dl:  3750
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 3750 samples
Set2 Distribution: 3750 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 88.701171875
Retain Accuracy: 90.82015228271484
Zero-Retain Forget (ZRF): 0.8332332372665405
Membership Inference Attack (MIA): 0.6189333333333333
Forget vs Retain Membership Inference Attack (MIA): 0.512
Forget vs Test Membership Inference Attack (MIA): 0.5353333333333333
Test vs Retain Membership Inference Attack (MIA): 0.518
Train vs Test Membership Inference Attack (MIA): 0.52375
Forget Set Accuracy (Df): 88.40047454833984
Method Execution Time: 1506.40 seconds
