hello
hello

📌 Retain class distribution for seed 4:
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 4:
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: 2.3462	LR: 0.000000
Training Epoch: 1 [512/46250]	Loss: 2.3202	LR: 0.000552
Training Epoch: 1 [768/46250]	Loss: 2.3371	LR: 0.001105
Training Epoch: 1 [1024/46250]	Loss: 2.2802	LR: 0.001657
Training Epoch: 1 [1280/46250]	Loss: 2.2827	LR: 0.002210
Training Epoch: 1 [1536/46250]	Loss: 2.2934	LR: 0.002762
Training Epoch: 1 [1792/46250]	Loss: 2.2277	LR: 0.003315
Training Epoch: 1 [2048/46250]	Loss: 2.2476	LR: 0.003867
Training Epoch: 1 [2304/46250]	Loss: 2.2203	LR: 0.004420
Training Epoch: 1 [2560/46250]	Loss: 2.1973	LR: 0.004972
Training Epoch: 1 [2816/46250]	Loss: 2.1363	LR: 0.005525
Training Epoch: 1 [3072/46250]	Loss: 2.1666	LR: 0.006077
Training Epoch: 1 [3328/46250]	Loss: 2.0650	LR: 0.006630
Training Epoch: 1 [3584/46250]	Loss: 2.0558	LR: 0.007182
Training Epoch: 1 [3840/46250]	Loss: 2.1064	LR: 0.007735
Training Epoch: 1 [4096/46250]	Loss: 2.0488	LR: 0.008287
Training Epoch: 1 [4352/46250]	Loss: 1.9461	LR: 0.008840
Training Epoch: 1 [4608/46250]	Loss: 2.0027	LR: 0.009392
Training Epoch: 1 [4864/46250]	Loss: 1.9750	LR: 0.009945
Training Epoch: 1 [5120/46250]	Loss: 2.0239	LR: 0.010497
Training Epoch: 1 [5376/46250]	Loss: 2.0010	LR: 0.011050
Training Epoch: 1 [5632/46250]	Loss: 1.8999	LR: 0.011602
Training Epoch: 1 [5888/46250]	Loss: 1.8504	LR: 0.012155
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Training Epoch: 1 [6400/46250]	Loss: 1.8109	LR: 0.013260
Training Epoch: 1 [6656/46250]	Loss: 1.8782	LR: 0.013812
Training Epoch: 1 [6912/46250]	Loss: 1.7651	LR: 0.014365
Training Epoch: 1 [7168/46250]	Loss: 1.7526	LR: 0.014917
Training Epoch: 1 [7424/46250]	Loss: 1.8532	LR: 0.015470
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Training Epoch: 1 [7936/46250]	Loss: 1.8461	LR: 0.016575
Training Epoch: 1 [8192/46250]	Loss: 1.7469	LR: 0.017127
Training Epoch: 1 [8448/46250]	Loss: 1.8397	LR: 0.017680
Training Epoch: 1 [8704/46250]	Loss: 1.8163	LR: 0.018232
Training Epoch: 1 [8960/46250]	Loss: 1.8289	LR: 0.018785
Training Epoch: 1 [9216/46250]	Loss: 1.8655	LR: 0.019337
Training Epoch: 1 [9472/46250]	Loss: 1.8508	LR: 0.019890
Training Epoch: 1 [9728/46250]	Loss: 1.9013	LR: 0.020442
Training Epoch: 1 [9984/46250]	Loss: 1.7681	LR: 0.020994
Training Epoch: 1 [10240/46250]	Loss: 1.6874	LR: 0.021547
Training Epoch: 1 [10496/46250]	Loss: 1.7266	LR: 0.022099
Training Epoch: 1 [10752/46250]	Loss: 1.8290	LR: 0.022652
Training Epoch: 1 [11008/46250]	Loss: 1.8482	LR: 0.023204
Training Epoch: 1 [11264/46250]	Loss: 1.7442	LR: 0.023757
Training Epoch: 1 [11520/46250]	Loss: 1.7943	LR: 0.024309
Training Epoch: 1 [11776/46250]	Loss: 1.7894	LR: 0.024862
Training Epoch: 1 [12032/46250]	Loss: 1.6406	LR: 0.025414
Training Epoch: 1 [12288/46250]	Loss: 1.6722	LR: 0.025967
Training Epoch: 1 [12544/46250]	Loss: 1.8111	LR: 0.026519
Training Epoch: 1 [12800/46250]	Loss: 1.8182	LR: 0.027072
Training Epoch: 1 [13056/46250]	Loss: 1.8364	LR: 0.027624
Training Epoch: 1 [13312/46250]	Loss: 1.6659	LR: 0.028177
Training Epoch: 1 [13568/46250]	Loss: 1.7018	LR: 0.028729
Training Epoch: 1 [13824/46250]	Loss: 1.6491	LR: 0.029282
Training Epoch: 1 [14080/46250]	Loss: 1.8737	LR: 0.029834
Training Epoch: 1 [14336/46250]	Loss: 1.6974	LR: 0.030387
Training Epoch: 1 [14592/46250]	Loss: 1.7780	LR: 0.030939
Training Epoch: 1 [14848/46250]	Loss: 1.7555	LR: 0.031492
Training Epoch: 1 [15104/46250]	Loss: 1.9148	LR: 0.032044
Training Epoch: 1 [15360/46250]	Loss: 1.6533	LR: 0.032597
Training Epoch: 1 [15616/46250]	Loss: 1.7477	LR: 0.033149
Training Epoch: 1 [15872/46250]	Loss: 1.6345	LR: 0.033702
Training Epoch: 1 [16128/46250]	Loss: 1.7702	LR: 0.034254
Training Epoch: 1 [16384/46250]	Loss: 1.7985	LR: 0.034807
Training Epoch: 1 [16640/46250]	Loss: 1.7225	LR: 0.035359
Training Epoch: 1 [16896/46250]	Loss: 2.0212	LR: 0.035912
Training Epoch: 1 [17152/46250]	Loss: 1.6978	LR: 0.036464
Training Epoch: 1 [17408/46250]	Loss: 1.7025	LR: 0.037017
Training Epoch: 1 [17664/46250]	Loss: 1.8406	LR: 0.037569
Training Epoch: 1 [17920/46250]	Loss: 1.7324	LR: 0.038122
Training Epoch: 1 [18176/46250]	Loss: 1.8122	LR: 0.038674
Training Epoch: 1 [18432/46250]	Loss: 1.8939	LR: 0.039227
Training Epoch: 1 [18688/46250]	Loss: 1.6733	LR: 0.039779
Training Epoch: 1 [18944/46250]	Loss: 1.7328	LR: 0.040331
Training Epoch: 1 [19200/46250]	Loss: 1.7165	LR: 0.040884
Training Epoch: 1 [19456/46250]	Loss: 1.6724	LR: 0.041436
Training Epoch: 1 [19712/46250]	Loss: 1.6234	LR: 0.041989
Training Epoch: 1 [19968/46250]	Loss: 1.6778	LR: 0.042541
Training Epoch: 1 [20224/46250]	Loss: 1.5309	LR: 0.043094
Training Epoch: 1 [20480/46250]	Loss: 1.6507	LR: 0.043646
Training Epoch: 1 [20736/46250]	Loss: 1.6044	LR: 0.044199
Training Epoch: 1 [20992/46250]	Loss: 1.8261	LR: 0.044751
Training Epoch: 1 [21248/46250]	Loss: 1.7836	LR: 0.045304
Training Epoch: 1 [21504/46250]	Loss: 1.6810	LR: 0.045856
Training Epoch: 1 [21760/46250]	Loss: 1.6721	LR: 0.046409
Training Epoch: 1 [22016/46250]	Loss: 1.6750	LR: 0.046961
Training Epoch: 1 [22272/46250]	Loss: 1.5981	LR: 0.047514
Training Epoch: 1 [22528/46250]	Loss: 1.6821	LR: 0.048066
Training Epoch: 1 [22784/46250]	Loss: 1.6054	LR: 0.048619
Training Epoch: 1 [23040/46250]	Loss: 1.7701	LR: 0.049171
Training Epoch: 1 [23296/46250]	Loss: 1.6868	LR: 0.049724
Training Epoch: 1 [23552/46250]	Loss: 1.4453	LR: 0.050276
Training Epoch: 1 [23808/46250]	Loss: 1.5635	LR: 0.050829
Training Epoch: 1 [24064/46250]	Loss: 1.6897	LR: 0.051381
Training Epoch: 1 [24320/46250]	Loss: 1.4321	LR: 0.051934
Training Epoch: 1 [24576/46250]	Loss: 1.6239	LR: 0.052486
Training Epoch: 1 [24832/46250]	Loss: 1.7680	LR: 0.053039
Training Epoch: 1 [25088/46250]	Loss: 1.5824	LR: 0.053591
Training Epoch: 1 [25344/46250]	Loss: 1.4868	LR: 0.054144
Training Epoch: 1 [25600/46250]	Loss: 1.5482	LR: 0.054696
Training Epoch: 1 [25856/46250]	Loss: 1.5191	LR: 0.055249
Training Epoch: 1 [26112/46250]	Loss: 1.8186	LR: 0.055801
Training Epoch: 1 [26368/46250]	Loss: 1.4954	LR: 0.056354
Training Epoch: 1 [26624/46250]	Loss: 1.5374	LR: 0.056906
Training Epoch: 1 [26880/46250]	Loss: 1.4477	LR: 0.057459
Training Epoch: 1 [27136/46250]	Loss: 1.5152	LR: 0.058011
Training Epoch: 1 [27392/46250]	Loss: 1.6059	LR: 0.058564
Training Epoch: 1 [27648/46250]	Loss: 1.5403	LR: 0.059116
Training Epoch: 1 [27904/46250]	Loss: 1.5521	LR: 0.059669
Training Epoch: 1 [28160/46250]	Loss: 1.6481	LR: 0.060221
Training Epoch: 1 [28416/46250]	Loss: 1.6798	LR: 0.060773
Training Epoch: 1 [28672/46250]	Loss: 1.5843	LR: 0.061326
Training Epoch: 1 [28928/46250]	Loss: 1.5033	LR: 0.061878
Training Epoch: 1 [29184/46250]	Loss: 1.7076	LR: 0.062431
Training Epoch: 1 [29440/46250]	Loss: 1.4586	LR: 0.062983
Training Epoch: 1 [29696/46250]	Loss: 1.6035	LR: 0.063536
Training Epoch: 1 [29952/46250]	Loss: 1.5057	LR: 0.064088
Training Epoch: 1 [30208/46250]	Loss: 1.6028	LR: 0.064641
Training Epoch: 1 [30464/46250]	Loss: 1.5831	LR: 0.065193
Training Epoch: 1 [30720/46250]	Loss: 1.5698	LR: 0.065746
Training Epoch: 1 [30976/46250]	Loss: 1.5405	LR: 0.066298
Training Epoch: 1 [31232/46250]	Loss: 1.5024	LR: 0.066851
Training Epoch: 1 [31488/46250]	Loss: 1.5185	LR: 0.067403
Training Epoch: 1 [31744/46250]	Loss: 1.4500	LR: 0.067956
Training Epoch: 1 [32000/46250]	Loss: 1.4948	LR: 0.068508
Training Epoch: 1 [32256/46250]	Loss: 1.5576	LR: 0.069061
Training Epoch: 1 [32512/46250]	Loss: 1.6475	LR: 0.069613
Training Epoch: 1 [32768/46250]	Loss: 1.5199	LR: 0.070166
Training Epoch: 1 [33024/46250]	Loss: 1.5392	LR: 0.070718
Training Epoch: 1 [33280/46250]	Loss: 1.5742	LR: 0.071271
Training Epoch: 1 [33536/46250]	Loss: 1.6382	LR: 0.071823
Training Epoch: 1 [33792/46250]	Loss: 1.7052	LR: 0.072376
Training Epoch: 1 [34048/46250]	Loss: 1.4386	LR: 0.072928
Training Epoch: 1 [34304/46250]	Loss: 1.5066	LR: 0.073481
Training Epoch: 1 [34560/46250]	Loss: 1.4603	LR: 0.074033
Training Epoch: 1 [34816/46250]	Loss: 1.3210	LR: 0.074586
Training Epoch: 1 [35072/46250]	Loss: 1.6647	LR: 0.075138
Training Epoch: 1 [35328/46250]	Loss: 1.5514	LR: 0.075691
Training Epoch: 1 [35584/46250]	Loss: 1.4984	LR: 0.076243
Training Epoch: 1 [35840/46250]	Loss: 1.5489	LR: 0.076796
Training Epoch: 1 [36096/46250]	Loss: 1.3926	LR: 0.077348
Training Epoch: 1 [36352/46250]	Loss: 1.5530	LR: 0.077901
Training Epoch: 1 [36608/46250]	Loss: 1.5102	LR: 0.078453
Training Epoch: 1 [36864/46250]	Loss: 1.6683	LR: 0.079006
Training Epoch: 1 [37120/46250]	Loss: 1.5389	LR: 0.079558
Training Epoch: 1 [37376/46250]	Loss: 1.5358	LR: 0.080110
Training Epoch: 1 [37632/46250]	Loss: 1.4905	LR: 0.080663
Training Epoch: 1 [37888/46250]	Loss: 1.5101	LR: 0.081215
Training Epoch: 1 [38144/46250]	Loss: 1.5679	LR: 0.081768
Training Epoch: 1 [38400/46250]	Loss: 1.4958	LR: 0.082320
Training Epoch: 1 [38656/46250]	Loss: 1.4517	LR: 0.082873
Training Epoch: 1 [38912/46250]	Loss: 1.4378	LR: 0.083425
Training Epoch: 1 [39168/46250]	Loss: 1.3873	LR: 0.083978
Training Epoch: 1 [39424/46250]	Loss: 1.4790	LR: 0.084530
Training Epoch: 1 [39680/46250]	Loss: 1.5430	LR: 0.085083
Training Epoch: 1 [39936/46250]	Loss: 1.4226	LR: 0.085635
Training Epoch: 1 [40192/46250]	Loss: 1.7093	LR: 0.086188
Training Epoch: 1 [40448/46250]	Loss: 1.5033	LR: 0.086740
Training Epoch: 1 [40704/46250]	Loss: 1.3168	LR: 0.087293
Training Epoch: 1 [40960/46250]	Loss: 1.4660	LR: 0.087845
Training Epoch: 1 [41216/46250]	Loss: 1.3618	LR: 0.088398
Training Epoch: 1 [41472/46250]	Loss: 1.5378	LR: 0.088950
Training Epoch: 1 [41728/46250]	Loss: 1.5780	LR: 0.089503
Training Epoch: 1 [41984/46250]	Loss: 1.6169	LR: 0.090055
Training Epoch: 1 [42240/46250]	Loss: 1.7002	LR: 0.090608
Training Epoch: 1 [42496/46250]	Loss: 1.4733	LR: 0.091160
Training Epoch: 1 [42752/46250]	Loss: 1.5418	LR: 0.091713
Training Epoch: 1 [43008/46250]	Loss: 1.4562	LR: 0.092265
Training Epoch: 1 [43264/46250]	Loss: 1.5714	LR: 0.092818
Training Epoch: 1 [43520/46250]	Loss: 1.5365	LR: 0.093370
Training Epoch: 1 [43776/46250]	Loss: 1.5940	LR: 0.093923
Training Epoch: 1 [44032/46250]	Loss: 1.4867	LR: 0.094475
Training Epoch: 1 [44288/46250]	Loss: 1.4824	LR: 0.095028
Training Epoch: 1 [44544/46250]	Loss: 1.3705	LR: 0.095580
Training Epoch: 1 [44800/46250]	Loss: 1.6640	LR: 0.096133
Training Epoch: 1 [45056/46250]	Loss: 1.6749	LR: 0.096685
Training Epoch: 1 [45312/46250]	Loss: 1.7255	LR: 0.097238
Training Epoch: 1 [45568/46250]	Loss: 1.5995	LR: 0.097790
Training Epoch: 1 [45824/46250]	Loss: 1.4630	LR: 0.098343
Training Epoch: 1 [46080/46250]	Loss: 1.4597	LR: 0.098895
Training Epoch: 1 [46250/46250]	Loss: 1.5176	LR: 0.099448
Epoch 1 - Average Train Loss: 1.6974, Train Accuracy: 0.3790
Epoch 1 training time consumed: 28.55s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0093, Accuracy: 0.3844, Time consumed:1.03s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-1-best.pth
Training Epoch: 2 [256/46250]	Loss: 1.5400	LR: 0.100000
Training Epoch: 2 [512/46250]	Loss: 1.5563	LR: 0.100000
Training Epoch: 2 [768/46250]	Loss: 1.4084	LR: 0.100000
Training Epoch: 2 [1024/46250]	Loss: 1.6190	LR: 0.100000
Training Epoch: 2 [1280/46250]	Loss: 1.5469	LR: 0.100000
Training Epoch: 2 [1536/46250]	Loss: 1.4316	LR: 0.100000
Training Epoch: 2 [1792/46250]	Loss: 1.5032	LR: 0.100000
Training Epoch: 2 [2048/46250]	Loss: 1.4431	LR: 0.100000
Training Epoch: 2 [2304/46250]	Loss: 1.4672	LR: 0.100000
Training Epoch: 2 [2560/46250]	Loss: 1.3848	LR: 0.100000
Training Epoch: 2 [2816/46250]	Loss: 1.4748	LR: 0.100000
Training Epoch: 2 [3072/46250]	Loss: 1.5667	LR: 0.100000
Training Epoch: 2 [3328/46250]	Loss: 1.4494	LR: 0.100000
Training Epoch: 2 [3584/46250]	Loss: 1.6716	LR: 0.100000
Training Epoch: 2 [3840/46250]	Loss: 1.6091	LR: 0.100000
Training Epoch: 2 [4096/46250]	Loss: 1.4428	LR: 0.100000
Training Epoch: 2 [4352/46250]	Loss: 1.3179	LR: 0.100000
Training Epoch: 2 [4608/46250]	Loss: 1.4110	LR: 0.100000
Training Epoch: 2 [4864/46250]	Loss: 1.5062	LR: 0.100000
Training Epoch: 2 [5120/46250]	Loss: 1.3182	LR: 0.100000
Training Epoch: 2 [5376/46250]	Loss: 1.3967	LR: 0.100000
Training Epoch: 2 [5632/46250]	Loss: 1.4748	LR: 0.100000
Training Epoch: 2 [5888/46250]	Loss: 1.4138	LR: 0.100000
Training Epoch: 2 [6144/46250]	Loss: 1.3398	LR: 0.100000
Training Epoch: 2 [6400/46250]	Loss: 1.3874	LR: 0.100000
Training Epoch: 2 [6656/46250]	Loss: 1.4066	LR: 0.100000
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Training Epoch: 2 [7168/46250]	Loss: 1.1727	LR: 0.100000
Training Epoch: 2 [7424/46250]	Loss: 1.5802	LR: 0.100000
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Training Epoch: 2 [7936/46250]	Loss: 1.2991	LR: 0.100000
Training Epoch: 2 [8192/46250]	Loss: 1.3169	LR: 0.100000
Training Epoch: 2 [8448/46250]	Loss: 1.2922	LR: 0.100000
Training Epoch: 2 [8704/46250]	Loss: 1.3911	LR: 0.100000
Training Epoch: 2 [8960/46250]	Loss: 1.3479	LR: 0.100000
Training Epoch: 2 [9216/46250]	Loss: 1.4517	LR: 0.100000
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Training Epoch: 2 [10240/46250]	Loss: 1.4120	LR: 0.100000
Training Epoch: 2 [10496/46250]	Loss: 1.3816	LR: 0.100000
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Training Epoch: 2 [12800/46250]	Loss: 1.2676	LR: 0.100000
Training Epoch: 2 [13056/46250]	Loss: 1.2978	LR: 0.100000
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Training Epoch: 2 [13568/46250]	Loss: 1.4160	LR: 0.100000
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Training Epoch: 2 [14336/46250]	Loss: 1.3342	LR: 0.100000
Training Epoch: 2 [14592/46250]	Loss: 1.3529	LR: 0.100000
Training Epoch: 2 [14848/46250]	Loss: 1.1765	LR: 0.100000
Training Epoch: 2 [15104/46250]	Loss: 1.1341	LR: 0.100000
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Training Epoch: 2 [16896/46250]	Loss: 1.3421	LR: 0.100000
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Training Epoch: 2 [19200/46250]	Loss: 1.1155	LR: 0.100000
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Training Epoch: 2 [19712/46250]	Loss: 1.2584	LR: 0.100000
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Training Epoch: 2 [20224/46250]	Loss: 1.1884	LR: 0.100000
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Training Epoch: 2 [22016/46250]	Loss: 1.0960	LR: 0.100000
Training Epoch: 2 [22272/46250]	Loss: 1.1810	LR: 0.100000
Training Epoch: 2 [22528/46250]	Loss: 1.2884	LR: 0.100000
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Training Epoch: 2 [23808/46250]	Loss: 1.1953	LR: 0.100000
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Training Epoch: 2 [46250/46250]	Loss: 1.0674	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2315, Train Accuracy: 0.5588
Epoch 2 training time consumed: 27.82s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0083, Accuracy: 0.4077, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-2-best.pth
Training Epoch: 3 [256/46250]	Loss: 1.0181	LR: 0.100000
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Training Epoch: 3 [46250/46250]	Loss: 1.0208	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9764, Train Accuracy: 0.6541
Epoch 3 training time consumed: 27.88s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0041, Accuracy: 0.6514, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-3-best.pth
Training Epoch: 4 [256/46250]	Loss: 0.8278	LR: 0.100000
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Training Epoch: 4 [46250/46250]	Loss: 0.8403	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8319, Train Accuracy: 0.7104
Epoch 4 training time consumed: 27.75s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0033, Accuracy: 0.7295, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-4-best.pth
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Training Epoch: 5 [46250/46250]	Loss: 0.6256	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7364, Train Accuracy: 0.7415
Epoch 5 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0031, Accuracy: 0.7320, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-5-best.pth
Training Epoch: 6 [256/46250]	Loss: 0.7191	LR: 0.100000
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Training Epoch: 6 [46250/46250]	Loss: 0.6147	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6661, Train Accuracy: 0.7668
Epoch 6 training time consumed: 27.74s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0028, Accuracy: 0.7573, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-6-best.pth
Training Epoch: 7 [256/46250]	Loss: 0.6353	LR: 0.100000
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Training Epoch: 7 [46250/46250]	Loss: 0.4873	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6157, Train Accuracy: 0.7853
Epoch 7 training time consumed: 27.73s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0027, Accuracy: 0.7780, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-7-best.pth
Training Epoch: 8 [256/46250]	Loss: 0.5880	LR: 0.020000
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Training Epoch: 8 [45312/46250]	Loss: 0.4477	LR: 0.020000
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Training Epoch: 8 [45824/46250]	Loss: 0.4442	LR: 0.020000
Training Epoch: 8 [46080/46250]	Loss: 0.3699	LR: 0.020000
Training Epoch: 8 [46250/46250]	Loss: 0.3935	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4647, Train Accuracy: 0.8405
Epoch 8 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8516, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-8-best.pth
Training Epoch: 9 [256/46250]	Loss: 0.3570	LR: 0.020000
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Training Epoch: 9 [46080/46250]	Loss: 0.4696	LR: 0.020000
Training Epoch: 9 [46250/46250]	Loss: 0.4029	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4163, Train Accuracy: 0.8550
Epoch 9 training time consumed: 27.90s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8651, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-9-best.pth
Training Epoch: 10 [256/46250]	Loss: 0.4419	LR: 0.020000
Training Epoch: 10 [512/46250]	Loss: 0.4860	LR: 0.020000
Training Epoch: 10 [768/46250]	Loss: 0.3346	LR: 0.020000
Training Epoch: 10 [1024/46250]	Loss: 0.3224	LR: 0.020000
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Training Epoch: 10 [2048/46250]	Loss: 0.4050	LR: 0.020000
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Training Epoch: 10 [24576/46250]	Loss: 0.2868	LR: 0.020000
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Training Epoch: 10 [44544/46250]	Loss: 0.3539	LR: 0.020000
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Training Epoch: 10 [45312/46250]	Loss: 0.3539	LR: 0.020000
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Training Epoch: 10 [46080/46250]	Loss: 0.3819	LR: 0.020000
Training Epoch: 10 [46250/46250]	Loss: 0.2865	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3930, Train Accuracy: 0.8625
Epoch 10 training time consumed: 27.89s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0017, Accuracy: 0.8542, Time consumed:1.00s
Training Epoch: 11 [256/46250]	Loss: 0.3556	LR: 0.020000
Training Epoch: 11 [512/46250]	Loss: 0.3994	LR: 0.020000
Training Epoch: 11 [768/46250]	Loss: 0.3864	LR: 0.020000
Training Epoch: 11 [1024/46250]	Loss: 0.3154	LR: 0.020000
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Training Epoch: 11 [45056/46250]	Loss: 0.3896	LR: 0.020000
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Training Epoch: 11 [46080/46250]	Loss: 0.2922	LR: 0.020000
Training Epoch: 11 [46250/46250]	Loss: 0.3587	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3728, Train Accuracy: 0.8713
Epoch 11 training time consumed: 27.85s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0016, Accuracy: 0.8669, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-11-best.pth
Training Epoch: 12 [256/46250]	Loss: 0.3091	LR: 0.004000
Training Epoch: 12 [512/46250]	Loss: 0.4170	LR: 0.004000
Training Epoch: 12 [768/46250]	Loss: 0.3338	LR: 0.004000
Training Epoch: 12 [1024/46250]	Loss: 0.3732	LR: 0.004000
Training Epoch: 12 [1280/46250]	Loss: 0.3704	LR: 0.004000
Training Epoch: 12 [1536/46250]	Loss: 0.3286	LR: 0.004000
Training Epoch: 12 [1792/46250]	Loss: 0.3169	LR: 0.004000
Training Epoch: 12 [2048/46250]	Loss: 0.3616	LR: 0.004000
Training Epoch: 12 [2304/46250]	Loss: 0.4009	LR: 0.004000
Training Epoch: 12 [2560/46250]	Loss: 0.3070	LR: 0.004000
Training Epoch: 12 [2816/46250]	Loss: 0.3175	LR: 0.004000
Training Epoch: 12 [3072/46250]	Loss: 0.3575	LR: 0.004000
Training Epoch: 12 [3328/46250]	Loss: 0.4041	LR: 0.004000
Training Epoch: 12 [3584/46250]	Loss: 0.3273	LR: 0.004000
Training Epoch: 12 [3840/46250]	Loss: 0.3481	LR: 0.004000
Training Epoch: 12 [4096/46250]	Loss: 0.2891	LR: 0.004000
Training Epoch: 12 [4352/46250]	Loss: 0.3535	LR: 0.004000
Training Epoch: 12 [4608/46250]	Loss: 0.3990	LR: 0.004000
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Training Epoch: 12 [44032/46250]	Loss: 0.2887	LR: 0.004000
Training Epoch: 12 [44288/46250]	Loss: 0.2676	LR: 0.004000
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Training Epoch: 12 [45824/46250]	Loss: 0.3632	LR: 0.004000
Training Epoch: 12 [46080/46250]	Loss: 0.3283	LR: 0.004000
Training Epoch: 12 [46250/46250]	Loss: 0.2965	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3267, Train Accuracy: 0.8845
Epoch 12 training time consumed: 27.98s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8799, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-12-best.pth
Training Epoch: 13 [256/46250]	Loss: 0.3664	LR: 0.004000
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Training Epoch: 13 [43520/46250]	Loss: 0.2847	LR: 0.004000
Training Epoch: 13 [43776/46250]	Loss: 0.3857	LR: 0.004000
Training Epoch: 13 [44032/46250]	Loss: 0.2669	LR: 0.004000
Training Epoch: 13 [44288/46250]	Loss: 0.3536	LR: 0.004000
Training Epoch: 13 [44544/46250]	Loss: 0.3761	LR: 0.004000
Training Epoch: 13 [44800/46250]	Loss: 0.2481	LR: 0.004000
Training Epoch: 13 [45056/46250]	Loss: 0.2809	LR: 0.004000
Training Epoch: 13 [45312/46250]	Loss: 0.2830	LR: 0.004000
Training Epoch: 13 [45568/46250]	Loss: 0.3127	LR: 0.004000
Training Epoch: 13 [45824/46250]	Loss: 0.2919	LR: 0.004000
Training Epoch: 13 [46080/46250]	Loss: 0.2986	LR: 0.004000
Training Epoch: 13 [46250/46250]	Loss: 0.2575	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3116, Train Accuracy: 0.8905
Epoch 13 training time consumed: 28.00s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0014, Accuracy: 0.8823, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-13-best.pth
Training Epoch: 14 [256/46250]	Loss: 0.2529	LR: 0.004000
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Training Epoch: 14 [45056/46250]	Loss: 0.2890	LR: 0.004000
Training Epoch: 14 [45312/46250]	Loss: 0.3387	LR: 0.004000
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Training Epoch: 14 [46080/46250]	Loss: 0.2540	LR: 0.004000
Training Epoch: 14 [46250/46250]	Loss: 0.3108	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3059, Train Accuracy: 0.8932
Epoch 14 training time consumed: 27.91s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0014, Accuracy: 0.8794, Time consumed:0.85s
Training Epoch: 15 [256/46250]	Loss: 0.2475	LR: 0.004000
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Training Epoch: 15 [1024/46250]	Loss: 0.3246	LR: 0.004000
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Training Epoch: 15 [11008/46250]	Loss: 0.3424	LR: 0.004000
Training Epoch: 15 [11264/46250]	Loss: 0.2354	LR: 0.004000
Training Epoch: 15 [11520/46250]	Loss: 0.2640	LR: 0.004000
Training Epoch: 15 [11776/46250]	Loss: 0.3857	LR: 0.004000
Training Epoch: 15 [12032/46250]	Loss: 0.3355	LR: 0.004000
Training Epoch: 15 [12288/46250]	Loss: 0.3247	LR: 0.004000
Training Epoch: 15 [12544/46250]	Loss: 0.3004	LR: 0.004000
Training Epoch: 15 [12800/46250]	Loss: 0.2948	LR: 0.004000
Training Epoch: 15 [13056/46250]	Loss: 0.3362	LR: 0.004000
Training Epoch: 15 [13312/46250]	Loss: 0.2377	LR: 0.004000
Training Epoch: 15 [13568/46250]	Loss: 0.2939	LR: 0.004000
Training Epoch: 15 [13824/46250]	Loss: 0.3370	LR: 0.004000
Training Epoch: 15 [14080/46250]	Loss: 0.3415	LR: 0.004000
Training Epoch: 15 [14336/46250]	Loss: 0.4379	LR: 0.004000
Training Epoch: 15 [14592/46250]	Loss: 0.2986	LR: 0.004000
Training Epoch: 15 [14848/46250]	Loss: 0.2993	LR: 0.004000
Training Epoch: 15 [15104/46250]	Loss: 0.4036	LR: 0.004000
Training Epoch: 15 [15360/46250]	Loss: 0.2723	LR: 0.004000
Training Epoch: 15 [15616/46250]	Loss: 0.3145	LR: 0.004000
Training Epoch: 15 [15872/46250]	Loss: 0.2797	LR: 0.004000
Training Epoch: 15 [16128/46250]	Loss: 0.3245	LR: 0.004000
Training Epoch: 15 [16384/46250]	Loss: 0.3258	LR: 0.004000
Training Epoch: 15 [16640/46250]	Loss: 0.2775	LR: 0.004000
Training Epoch: 15 [16896/46250]	Loss: 0.2631	LR: 0.004000
Training Epoch: 15 [17152/46250]	Loss: 0.2861	LR: 0.004000
Training Epoch: 15 [17408/46250]	Loss: 0.3100	LR: 0.004000
Training Epoch: 15 [17664/46250]	Loss: 0.2574	LR: 0.004000
Training Epoch: 15 [17920/46250]	Loss: 0.3034	LR: 0.004000
Training Epoch: 15 [18176/46250]	Loss: 0.3212	LR: 0.004000
Training Epoch: 15 [18432/46250]	Loss: 0.2567	LR: 0.004000
Training Epoch: 15 [18688/46250]	Loss: 0.3209	LR: 0.004000
Training Epoch: 15 [18944/46250]	Loss: 0.2781	LR: 0.004000
Training Epoch: 15 [19200/46250]	Loss: 0.2395	LR: 0.004000
Training Epoch: 15 [19456/46250]	Loss: 0.3031	LR: 0.004000
Training Epoch: 15 [19712/46250]	Loss: 0.3489	LR: 0.004000
Training Epoch: 15 [19968/46250]	Loss: 0.2944	LR: 0.004000
Training Epoch: 15 [20224/46250]	Loss: 0.2593	LR: 0.004000
Training Epoch: 15 [20480/46250]	Loss: 0.4096	LR: 0.004000
Training Epoch: 15 [20736/46250]	Loss: 0.2954	LR: 0.004000
Training Epoch: 15 [20992/46250]	Loss: 0.2727	LR: 0.004000
Training Epoch: 15 [21248/46250]	Loss: 0.3468	LR: 0.004000
Training Epoch: 15 [21504/46250]	Loss: 0.3476	LR: 0.004000
Training Epoch: 15 [21760/46250]	Loss: 0.3751	LR: 0.004000
Training Epoch: 15 [22016/46250]	Loss: 0.1870	LR: 0.004000
Training Epoch: 15 [22272/46250]	Loss: 0.2487	LR: 0.004000
Training Epoch: 15 [22528/46250]	Loss: 0.2691	LR: 0.004000
Training Epoch: 15 [22784/46250]	Loss: 0.3538	LR: 0.004000
Training Epoch: 15 [23040/46250]	Loss: 0.3142	LR: 0.004000
Training Epoch: 15 [23296/46250]	Loss: 0.3008	LR: 0.004000
Training Epoch: 15 [23552/46250]	Loss: 0.2834	LR: 0.004000
Training Epoch: 15 [23808/46250]	Loss: 0.2932	LR: 0.004000
Training Epoch: 15 [24064/46250]	Loss: 0.2121	LR: 0.004000
Training Epoch: 15 [24320/46250]	Loss: 0.3414	LR: 0.004000
Training Epoch: 15 [24576/46250]	Loss: 0.3022	LR: 0.004000
Training Epoch: 15 [24832/46250]	Loss: 0.2477	LR: 0.004000
Training Epoch: 15 [25088/46250]	Loss: 0.3325	LR: 0.004000
Training Epoch: 15 [25344/46250]	Loss: 0.2873	LR: 0.004000
Training Epoch: 15 [25600/46250]	Loss: 0.2367	LR: 0.004000
Training Epoch: 15 [25856/46250]	Loss: 0.3073	LR: 0.004000
Training Epoch: 15 [26112/46250]	Loss: 0.3084	LR: 0.004000
Training Epoch: 15 [26368/46250]	Loss: 0.3409	LR: 0.004000
Training Epoch: 15 [26624/46250]	Loss: 0.3352	LR: 0.004000
Training Epoch: 15 [26880/46250]	Loss: 0.2546	LR: 0.004000
Training Epoch: 15 [27136/46250]	Loss: 0.2331	LR: 0.004000
Training Epoch: 15 [27392/46250]	Loss: 0.2931	LR: 0.004000
Training Epoch: 15 [27648/46250]	Loss: 0.2466	LR: 0.004000
Training Epoch: 15 [27904/46250]	Loss: 0.2044	LR: 0.004000
Training Epoch: 15 [28160/46250]	Loss: 0.2850	LR: 0.004000
Training Epoch: 15 [28416/46250]	Loss: 0.3366	LR: 0.004000
Training Epoch: 15 [28672/46250]	Loss: 0.3004	LR: 0.004000
Training Epoch: 15 [28928/46250]	Loss: 0.2833	LR: 0.004000
Training Epoch: 15 [29184/46250]	Loss: 0.2445	LR: 0.004000
Training Epoch: 15 [29440/46250]	Loss: 0.3180	LR: 0.004000
Training Epoch: 15 [29696/46250]	Loss: 0.3692	LR: 0.004000
Training Epoch: 15 [29952/46250]	Loss: 0.2721	LR: 0.004000
Training Epoch: 15 [30208/46250]	Loss: 0.2750	LR: 0.004000
Training Epoch: 15 [30464/46250]	Loss: 0.2858	LR: 0.004000
Training Epoch: 15 [30720/46250]	Loss: 0.2720	LR: 0.004000
Training Epoch: 15 [30976/46250]	Loss: 0.3487	LR: 0.004000
Training Epoch: 15 [31232/46250]	Loss: 0.2592	LR: 0.004000
Training Epoch: 15 [31488/46250]	Loss: 0.2795	LR: 0.004000
Training Epoch: 15 [31744/46250]	Loss: 0.2569	LR: 0.004000
Training Epoch: 15 [32000/46250]	Loss: 0.2680	LR: 0.004000
Training Epoch: 15 [32256/46250]	Loss: 0.3539	LR: 0.004000
Training Epoch: 15 [32512/46250]	Loss: 0.2965	LR: 0.004000
Training Epoch: 15 [32768/46250]	Loss: 0.3800	LR: 0.004000
Training Epoch: 15 [33024/46250]	Loss: 0.2787	LR: 0.004000
Training Epoch: 15 [33280/46250]	Loss: 0.3079	LR: 0.004000
Training Epoch: 15 [33536/46250]	Loss: 0.3126	LR: 0.004000
Training Epoch: 15 [33792/46250]	Loss: 0.2931	LR: 0.004000
Training Epoch: 15 [34048/46250]	Loss: 0.2235	LR: 0.004000
Training Epoch: 15 [34304/46250]	Loss: 0.2479	LR: 0.004000
Training Epoch: 15 [34560/46250]	Loss: 0.2226	LR: 0.004000
Training Epoch: 15 [34816/46250]	Loss: 0.2889	LR: 0.004000
Training Epoch: 15 [35072/46250]	Loss: 0.2305	LR: 0.004000
Training Epoch: 15 [35328/46250]	Loss: 0.2796	LR: 0.004000
Training Epoch: 15 [35584/46250]	Loss: 0.4076	LR: 0.004000
Training Epoch: 15 [35840/46250]	Loss: 0.3754	LR: 0.004000
Training Epoch: 15 [36096/46250]	Loss: 0.2416	LR: 0.004000
Training Epoch: 15 [36352/46250]	Loss: 0.3468	LR: 0.004000
Training Epoch: 15 [36608/46250]	Loss: 0.2554	LR: 0.004000
Training Epoch: 15 [36864/46250]	Loss: 0.2279	LR: 0.004000
Training Epoch: 15 [37120/46250]	Loss: 0.2650	LR: 0.004000
Training Epoch: 15 [37376/46250]	Loss: 0.2390	LR: 0.004000
Training Epoch: 15 [37632/46250]	Loss: 0.3120	LR: 0.004000
Training Epoch: 15 [37888/46250]	Loss: 0.2627	LR: 0.004000
Training Epoch: 15 [38144/46250]	Loss: 0.2370	LR: 0.004000
Training Epoch: 15 [38400/46250]	Loss: 0.3171	LR: 0.004000
Training Epoch: 15 [38656/46250]	Loss: 0.2705	LR: 0.004000
Training Epoch: 15 [38912/46250]	Loss: 0.2924	LR: 0.004000
Training Epoch: 15 [39168/46250]	Loss: 0.3716	LR: 0.004000
Training Epoch: 15 [39424/46250]	Loss: 0.2769	LR: 0.004000
Training Epoch: 15 [39680/46250]	Loss: 0.2694	LR: 0.004000
Training Epoch: 15 [39936/46250]	Loss: 0.3148	LR: 0.004000
Training Epoch: 15 [40192/46250]	Loss: 0.3565	LR: 0.004000
Training Epoch: 15 [40448/46250]	Loss: 0.3005	LR: 0.004000
Training Epoch: 15 [40704/46250]	Loss: 0.2822	LR: 0.004000
Training Epoch: 15 [40960/46250]	Loss: 0.2370	LR: 0.004000
Training Epoch: 15 [41216/46250]	Loss: 0.3702	LR: 0.004000
Training Epoch: 15 [41472/46250]	Loss: 0.2844	LR: 0.004000
Training Epoch: 15 [41728/46250]	Loss: 0.2846	LR: 0.004000
Training Epoch: 15 [41984/46250]	Loss: 0.3321	LR: 0.004000
Training Epoch: 15 [42240/46250]	Loss: 0.2622	LR: 0.004000
Training Epoch: 15 [42496/46250]	Loss: 0.3275	LR: 0.004000
Training Epoch: 15 [42752/46250]	Loss: 0.3129	LR: 0.004000
Training Epoch: 15 [43008/46250]	Loss: 0.2847	LR: 0.004000
Training Epoch: 15 [43264/46250]	Loss: 0.2363	LR: 0.004000
Training Epoch: 15 [43520/46250]	Loss: 0.2868	LR: 0.004000
Training Epoch: 15 [43776/46250]	Loss: 0.3015	LR: 0.004000
Training Epoch: 15 [44032/46250]	Loss: 0.2529	LR: 0.004000
Training Epoch: 15 [44288/46250]	Loss: 0.2875	LR: 0.004000
Training Epoch: 15 [44544/46250]	Loss: 0.2822	LR: 0.004000
Training Epoch: 15 [44800/46250]	Loss: 0.2599	LR: 0.004000
Training Epoch: 15 [45056/46250]	Loss: 0.3281	LR: 0.004000
Training Epoch: 15 [45312/46250]	Loss: 0.3076	LR: 0.004000
Training Epoch: 15 [45568/46250]	Loss: 0.2501	LR: 0.004000
Training Epoch: 15 [45824/46250]	Loss: 0.3243	LR: 0.004000
Training Epoch: 15 [46080/46250]	Loss: 0.3088	LR: 0.004000
Training Epoch: 15 [46250/46250]	Loss: 0.3841	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2956, Train Accuracy: 0.8965
Epoch 15 training time consumed: 27.79s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0014, Accuracy: 0.8812, Time consumed:0.89s
Training Epoch: 16 [256/46250]	Loss: 0.3362	LR: 0.000800
Training Epoch: 16 [512/46250]	Loss: 0.2580	LR: 0.000800
Training Epoch: 16 [768/46250]	Loss: 0.2633	LR: 0.000800
Training Epoch: 16 [1024/46250]	Loss: 0.2837	LR: 0.000800
Training Epoch: 16 [1280/46250]	Loss: 0.2574	LR: 0.000800
Training Epoch: 16 [1536/46250]	Loss: 0.2948	LR: 0.000800
Training Epoch: 16 [1792/46250]	Loss: 0.2888	LR: 0.000800
Training Epoch: 16 [2048/46250]	Loss: 0.3315	LR: 0.000800
Training Epoch: 16 [2304/46250]	Loss: 0.3075	LR: 0.000800
Training Epoch: 16 [2560/46250]	Loss: 0.3035	LR: 0.000800
Training Epoch: 16 [2816/46250]	Loss: 0.3088	LR: 0.000800
Training Epoch: 16 [3072/46250]	Loss: 0.2664	LR: 0.000800
Training Epoch: 16 [3328/46250]	Loss: 0.2291	LR: 0.000800
Training Epoch: 16 [3584/46250]	Loss: 0.3033	LR: 0.000800
Training Epoch: 16 [3840/46250]	Loss: 0.2691	LR: 0.000800
Training Epoch: 16 [4096/46250]	Loss: 0.2976	LR: 0.000800
Training Epoch: 16 [4352/46250]	Loss: 0.3332	LR: 0.000800
Training Epoch: 16 [4608/46250]	Loss: 0.2082	LR: 0.000800
Training Epoch: 16 [4864/46250]	Loss: 0.2145	LR: 0.000800
Training Epoch: 16 [5120/46250]	Loss: 0.2822	LR: 0.000800
Training Epoch: 16 [5376/46250]	Loss: 0.2939	LR: 0.000800
Training Epoch: 16 [5632/46250]	Loss: 0.3356	LR: 0.000800
Training Epoch: 16 [5888/46250]	Loss: 0.2843	LR: 0.000800
Training Epoch: 16 [6144/46250]	Loss: 0.3370	LR: 0.000800
Training Epoch: 16 [6400/46250]	Loss: 0.2839	LR: 0.000800
Training Epoch: 16 [6656/46250]	Loss: 0.2972	LR: 0.000800
Training Epoch: 16 [6912/46250]	Loss: 0.3200	LR: 0.000800
Training Epoch: 16 [7168/46250]	Loss: 0.1857	LR: 0.000800
Training Epoch: 16 [7424/46250]	Loss: 0.2380	LR: 0.000800
Training Epoch: 16 [7680/46250]	Loss: 0.3019	LR: 0.000800
Training Epoch: 16 [7936/46250]	Loss: 0.3108	LR: 0.000800
Training Epoch: 16 [8192/46250]	Loss: 0.2502	LR: 0.000800
Training Epoch: 16 [8448/46250]	Loss: 0.3002	LR: 0.000800
Training Epoch: 16 [8704/46250]	Loss: 0.2908	LR: 0.000800
Training Epoch: 16 [8960/46250]	Loss: 0.2468	LR: 0.000800
Training Epoch: 16 [9216/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 16 [9472/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 16 [9728/46250]	Loss: 0.2275	LR: 0.000800
Training Epoch: 16 [9984/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 16 [10240/46250]	Loss: 0.2706	LR: 0.000800
Training Epoch: 16 [10496/46250]	Loss: 0.3063	LR: 0.000800
Training Epoch: 16 [10752/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 16 [11008/46250]	Loss: 0.2753	LR: 0.000800
Training Epoch: 16 [11264/46250]	Loss: 0.3052	LR: 0.000800
Training Epoch: 16 [11520/46250]	Loss: 0.2259	LR: 0.000800
Training Epoch: 16 [11776/46250]	Loss: 0.2739	LR: 0.000800
Training Epoch: 16 [12032/46250]	Loss: 0.3405	LR: 0.000800
Training Epoch: 16 [12288/46250]	Loss: 0.2972	LR: 0.000800
Training Epoch: 16 [12544/46250]	Loss: 0.1999	LR: 0.000800
Training Epoch: 16 [12800/46250]	Loss: 0.2366	LR: 0.000800
Training Epoch: 16 [13056/46250]	Loss: 0.2064	LR: 0.000800
Training Epoch: 16 [13312/46250]	Loss: 0.3307	LR: 0.000800
Training Epoch: 16 [13568/46250]	Loss: 0.3124	LR: 0.000800
Training Epoch: 16 [13824/46250]	Loss: 0.2549	LR: 0.000800
Training Epoch: 16 [14080/46250]	Loss: 0.2985	LR: 0.000800
Training Epoch: 16 [14336/46250]	Loss: 0.2353	LR: 0.000800
Training Epoch: 16 [14592/46250]	Loss: 0.2859	LR: 0.000800
Training Epoch: 16 [14848/46250]	Loss: 0.2885	LR: 0.000800
Training Epoch: 16 [15104/46250]	Loss: 0.2960	LR: 0.000800
Training Epoch: 16 [15360/46250]	Loss: 0.2233	LR: 0.000800
Training Epoch: 16 [15616/46250]	Loss: 0.2792	LR: 0.000800
Training Epoch: 16 [15872/46250]	Loss: 0.3836	LR: 0.000800
Training Epoch: 16 [16128/46250]	Loss: 0.3595	LR: 0.000800
Training Epoch: 16 [16384/46250]	Loss: 0.2933	LR: 0.000800
Training Epoch: 16 [16640/46250]	Loss: 0.3441	LR: 0.000800
Training Epoch: 16 [16896/46250]	Loss: 0.2611	LR: 0.000800
Training Epoch: 16 [17152/46250]	Loss: 0.2849	LR: 0.000800
Training Epoch: 16 [17408/46250]	Loss: 0.2838	LR: 0.000800
Training Epoch: 16 [17664/46250]	Loss: 0.2929	LR: 0.000800
Training Epoch: 16 [17920/46250]	Loss: 0.3342	LR: 0.000800
Training Epoch: 16 [18176/46250]	Loss: 0.2763	LR: 0.000800
Training Epoch: 16 [18432/46250]	Loss: 0.3533	LR: 0.000800
Training Epoch: 16 [18688/46250]	Loss: 0.2658	LR: 0.000800
Training Epoch: 16 [18944/46250]	Loss: 0.2756	LR: 0.000800
Training Epoch: 16 [19200/46250]	Loss: 0.2876	LR: 0.000800
Training Epoch: 16 [19456/46250]	Loss: 0.2564	LR: 0.000800
Training Epoch: 16 [19712/46250]	Loss: 0.3094	LR: 0.000800
Training Epoch: 16 [19968/46250]	Loss: 0.2327	LR: 0.000800
Training Epoch: 16 [20224/46250]	Loss: 0.2581	LR: 0.000800
Training Epoch: 16 [20480/46250]	Loss: 0.2915	LR: 0.000800
Training Epoch: 16 [20736/46250]	Loss: 0.2791	LR: 0.000800
Training Epoch: 16 [20992/46250]	Loss: 0.3053	LR: 0.000800
Training Epoch: 16 [21248/46250]	Loss: 0.3512	LR: 0.000800
Training Epoch: 16 [21504/46250]	Loss: 0.2649	LR: 0.000800
Training Epoch: 16 [21760/46250]	Loss: 0.2946	LR: 0.000800
Training Epoch: 16 [22016/46250]	Loss: 0.2556	LR: 0.000800
Training Epoch: 16 [22272/46250]	Loss: 0.2535	LR: 0.000800
Training Epoch: 16 [22528/46250]	Loss: 0.2107	LR: 0.000800
Training Epoch: 16 [22784/46250]	Loss: 0.2734	LR: 0.000800
Training Epoch: 16 [23040/46250]	Loss: 0.3209	LR: 0.000800
Training Epoch: 16 [23296/46250]	Loss: 0.2975	LR: 0.000800
Training Epoch: 16 [23552/46250]	Loss: 0.3118	LR: 0.000800
Training Epoch: 16 [23808/46250]	Loss: 0.3192	LR: 0.000800
Training Epoch: 16 [24064/46250]	Loss: 0.2702	LR: 0.000800
Training Epoch: 16 [24320/46250]	Loss: 0.3072	LR: 0.000800
Training Epoch: 16 [24576/46250]	Loss: 0.3071	LR: 0.000800
Training Epoch: 16 [24832/46250]	Loss: 0.2710	LR: 0.000800
Training Epoch: 16 [25088/46250]	Loss: 0.2750	LR: 0.000800
Training Epoch: 16 [25344/46250]	Loss: 0.3819	LR: 0.000800
Training Epoch: 16 [25600/46250]	Loss: 0.2467	LR: 0.000800
Training Epoch: 16 [25856/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 16 [26112/46250]	Loss: 0.3106	LR: 0.000800
Training Epoch: 16 [26368/46250]	Loss: 0.2885	LR: 0.000800
Training Epoch: 16 [26624/46250]	Loss: 0.2749	LR: 0.000800
Training Epoch: 16 [26880/46250]	Loss: 0.3337	LR: 0.000800
Training Epoch: 16 [27136/46250]	Loss: 0.3042	LR: 0.000800
Training Epoch: 16 [27392/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 16 [27648/46250]	Loss: 0.3622	LR: 0.000800
Training Epoch: 16 [27904/46250]	Loss: 0.2693	LR: 0.000800
Training Epoch: 16 [28160/46250]	Loss: 0.3152	LR: 0.000800
Training Epoch: 16 [28416/46250]	Loss: 0.2634	LR: 0.000800
Training Epoch: 16 [28672/46250]	Loss: 0.2737	LR: 0.000800
Training Epoch: 16 [28928/46250]	Loss: 0.2031	LR: 0.000800
Training Epoch: 16 [29184/46250]	Loss: 0.2769	LR: 0.000800
Training Epoch: 16 [29440/46250]	Loss: 0.2846	LR: 0.000800
Training Epoch: 16 [29696/46250]	Loss: 0.2770	LR: 0.000800
Training Epoch: 16 [29952/46250]	Loss: 0.2898	LR: 0.000800
Training Epoch: 16 [30208/46250]	Loss: 0.3538	LR: 0.000800
Training Epoch: 16 [30464/46250]	Loss: 0.2766	LR: 0.000800
Training Epoch: 16 [30720/46250]	Loss: 0.2701	LR: 0.000800
Training Epoch: 16 [30976/46250]	Loss: 0.2256	LR: 0.000800
Training Epoch: 16 [31232/46250]	Loss: 0.2836	LR: 0.000800
Training Epoch: 16 [31488/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 16 [31744/46250]	Loss: 0.2791	LR: 0.000800
Training Epoch: 16 [32000/46250]	Loss: 0.2288	LR: 0.000800
Training Epoch: 16 [32256/46250]	Loss: 0.2823	LR: 0.000800
Training Epoch: 16 [32512/46250]	Loss: 0.2539	LR: 0.000800
Training Epoch: 16 [32768/46250]	Loss: 0.2615	LR: 0.000800
Training Epoch: 16 [33024/46250]	Loss: 0.3040	LR: 0.000800
Training Epoch: 16 [33280/46250]	Loss: 0.2387	LR: 0.000800
Training Epoch: 16 [33536/46250]	Loss: 0.2483	LR: 0.000800
Training Epoch: 16 [33792/46250]	Loss: 0.2292	LR: 0.000800
Training Epoch: 16 [34048/46250]	Loss: 0.2547	LR: 0.000800
Training Epoch: 16 [34304/46250]	Loss: 0.3065	LR: 0.000800
Training Epoch: 16 [34560/46250]	Loss: 0.2120	LR: 0.000800
Training Epoch: 16 [34816/46250]	Loss: 0.2466	LR: 0.000800
Training Epoch: 16 [35072/46250]	Loss: 0.1914	LR: 0.000800
Training Epoch: 16 [35328/46250]	Loss: 0.3048	LR: 0.000800
Training Epoch: 16 [35584/46250]	Loss: 0.2101	LR: 0.000800
Training Epoch: 16 [35840/46250]	Loss: 0.2822	LR: 0.000800
Training Epoch: 16 [36096/46250]	Loss: 0.2790	LR: 0.000800
Training Epoch: 16 [36352/46250]	Loss: 0.3233	LR: 0.000800
Training Epoch: 16 [36608/46250]	Loss: 0.3002	LR: 0.000800
Training Epoch: 16 [36864/46250]	Loss: 0.2201	LR: 0.000800
Training Epoch: 16 [37120/46250]	Loss: 0.2755	LR: 0.000800
Training Epoch: 16 [37376/46250]	Loss: 0.2137	LR: 0.000800
Training Epoch: 16 [37632/46250]	Loss: 0.3507	LR: 0.000800
Training Epoch: 16 [37888/46250]	Loss: 0.2453	LR: 0.000800
Training Epoch: 16 [38144/46250]	Loss: 0.1618	LR: 0.000800
Training Epoch: 16 [38400/46250]	Loss: 0.2340	LR: 0.000800
Training Epoch: 16 [38656/46250]	Loss: 0.3192	LR: 0.000800
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Training Epoch: 16 [40448/46250]	Loss: 0.2330	LR: 0.000800
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Training Epoch: 16 [41984/46250]	Loss: 0.2554	LR: 0.000800
Training Epoch: 16 [42240/46250]	Loss: 0.3233	LR: 0.000800
Training Epoch: 16 [42496/46250]	Loss: 0.2699	LR: 0.000800
Training Epoch: 16 [42752/46250]	Loss: 0.2691	LR: 0.000800
Training Epoch: 16 [43008/46250]	Loss: 0.2996	LR: 0.000800
Training Epoch: 16 [43264/46250]	Loss: 0.2553	LR: 0.000800
Training Epoch: 16 [43520/46250]	Loss: 0.3320	LR: 0.000800
Training Epoch: 16 [43776/46250]	Loss: 0.2790	LR: 0.000800
Training Epoch: 16 [44032/46250]	Loss: 0.3162	LR: 0.000800
Training Epoch: 16 [44288/46250]	Loss: 0.3133	LR: 0.000800
Training Epoch: 16 [44544/46250]	Loss: 0.2739	LR: 0.000800
Training Epoch: 16 [44800/46250]	Loss: 0.3131	LR: 0.000800
Training Epoch: 16 [45056/46250]	Loss: 0.2955	LR: 0.000800
Training Epoch: 16 [45312/46250]	Loss: 0.2725	LR: 0.000800
Training Epoch: 16 [45568/46250]	Loss: 0.2707	LR: 0.000800
Training Epoch: 16 [45824/46250]	Loss: 0.3113	LR: 0.000800
Training Epoch: 16 [46080/46250]	Loss: 0.3198	LR: 0.000800
Training Epoch: 16 [46250/46250]	Loss: 0.3881	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2819, Train Accuracy: 0.9017
Epoch 16 training time consumed: 28.02s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8847, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-16-best.pth
Training Epoch: 17 [256/46250]	Loss: 0.2491	LR: 0.000800
Training Epoch: 17 [512/46250]	Loss: 0.2071	LR: 0.000800
Training Epoch: 17 [768/46250]	Loss: 0.2484	LR: 0.000800
Training Epoch: 17 [1024/46250]	Loss: 0.2536	LR: 0.000800
Training Epoch: 17 [1280/46250]	Loss: 0.3055	LR: 0.000800
Training Epoch: 17 [1536/46250]	Loss: 0.1928	LR: 0.000800
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Training Epoch: 17 [8448/46250]	Loss: 0.3233	LR: 0.000800
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Training Epoch: 17 [44288/46250]	Loss: 0.2678	LR: 0.000800
Training Epoch: 17 [44544/46250]	Loss: 0.4091	LR: 0.000800
Training Epoch: 17 [44800/46250]	Loss: 0.2286	LR: 0.000800
Training Epoch: 17 [45056/46250]	Loss: 0.2698	LR: 0.000800
Training Epoch: 17 [45312/46250]	Loss: 0.3123	LR: 0.000800
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Training Epoch: 17 [46080/46250]	Loss: 0.2946	LR: 0.000800
Training Epoch: 17 [46250/46250]	Loss: 0.3464	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2790, Train Accuracy: 0.9027
Epoch 17 training time consumed: 27.93s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8860, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-17-best.pth
Training Epoch: 18 [256/46250]	Loss: 0.2298	LR: 0.000800
Training Epoch: 18 [512/46250]	Loss: 0.3412	LR: 0.000800
Training Epoch: 18 [768/46250]	Loss: 0.3402	LR: 0.000800
Training Epoch: 18 [1024/46250]	Loss: 0.2679	LR: 0.000800
Training Epoch: 18 [1280/46250]	Loss: 0.2953	LR: 0.000800
Training Epoch: 18 [1536/46250]	Loss: 0.2072	LR: 0.000800
Training Epoch: 18 [1792/46250]	Loss: 0.2695	LR: 0.000800
Training Epoch: 18 [2048/46250]	Loss: 0.3379	LR: 0.000800
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Training Epoch: 18 [5376/46250]	Loss: 0.3117	LR: 0.000800
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Training Epoch: 18 [17664/46250]	Loss: 0.2760	LR: 0.000800
Training Epoch: 18 [17920/46250]	Loss: 0.2532	LR: 0.000800
Training Epoch: 18 [18176/46250]	Loss: 0.2187	LR: 0.000800
Training Epoch: 18 [18432/46250]	Loss: 0.3004	LR: 0.000800
Training Epoch: 18 [18688/46250]	Loss: 0.2539	LR: 0.000800
Training Epoch: 18 [18944/46250]	Loss: 0.3450	LR: 0.000800
Training Epoch: 18 [19200/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 18 [19456/46250]	Loss: 0.2697	LR: 0.000800
Training Epoch: 18 [19712/46250]	Loss: 0.3402	LR: 0.000800
Training Epoch: 18 [19968/46250]	Loss: 0.2111	LR: 0.000800
Training Epoch: 18 [20224/46250]	Loss: 0.2354	LR: 0.000800
Training Epoch: 18 [20480/46250]	Loss: 0.3005	LR: 0.000800
Training Epoch: 18 [20736/46250]	Loss: 0.2825	LR: 0.000800
Training Epoch: 18 [20992/46250]	Loss: 0.2080	LR: 0.000800
Training Epoch: 18 [21248/46250]	Loss: 0.3546	LR: 0.000800
Training Epoch: 18 [21504/46250]	Loss: 0.2552	LR: 0.000800
Training Epoch: 18 [21760/46250]	Loss: 0.2981	LR: 0.000800
Training Epoch: 18 [22016/46250]	Loss: 0.2747	LR: 0.000800
Training Epoch: 18 [22272/46250]	Loss: 0.2528	LR: 0.000800
Training Epoch: 18 [22528/46250]	Loss: 0.2352	LR: 0.000800
Training Epoch: 18 [22784/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 18 [23040/46250]	Loss: 0.2558	LR: 0.000800
Training Epoch: 18 [23296/46250]	Loss: 0.2692	LR: 0.000800
Training Epoch: 18 [23552/46250]	Loss: 0.3143	LR: 0.000800
Training Epoch: 18 [23808/46250]	Loss: 0.3759	LR: 0.000800
Training Epoch: 18 [24064/46250]	Loss: 0.2927	LR: 0.000800
Training Epoch: 18 [24320/46250]	Loss: 0.2366	LR: 0.000800
Training Epoch: 18 [24576/46250]	Loss: 0.2529	LR: 0.000800
Training Epoch: 18 [24832/46250]	Loss: 0.2185	LR: 0.000800
Training Epoch: 18 [25088/46250]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [25344/46250]	Loss: 0.2283	LR: 0.000800
Training Epoch: 18 [25600/46250]	Loss: 0.3468	LR: 0.000800
Training Epoch: 18 [25856/46250]	Loss: 0.3007	LR: 0.000800
Training Epoch: 18 [26112/46250]	Loss: 0.2741	LR: 0.000800
Training Epoch: 18 [26368/46250]	Loss: 0.2466	LR: 0.000800
Training Epoch: 18 [26624/46250]	Loss: 0.2302	LR: 0.000800
Training Epoch: 18 [26880/46250]	Loss: 0.3011	LR: 0.000800
Training Epoch: 18 [27136/46250]	Loss: 0.2312	LR: 0.000800
Training Epoch: 18 [27392/46250]	Loss: 0.2714	LR: 0.000800
Training Epoch: 18 [27648/46250]	Loss: 0.2663	LR: 0.000800
Training Epoch: 18 [27904/46250]	Loss: 0.2264	LR: 0.000800
Training Epoch: 18 [28160/46250]	Loss: 0.2355	LR: 0.000800
Training Epoch: 18 [28416/46250]	Loss: 0.2631	LR: 0.000800
Training Epoch: 18 [28672/46250]	Loss: 0.2835	LR: 0.000800
Training Epoch: 18 [28928/46250]	Loss: 0.3081	LR: 0.000800
Training Epoch: 18 [29184/46250]	Loss: 0.2974	LR: 0.000800
Training Epoch: 18 [29440/46250]	Loss: 0.3040	LR: 0.000800
Training Epoch: 18 [29696/46250]	Loss: 0.2906	LR: 0.000800
Training Epoch: 18 [29952/46250]	Loss: 0.2570	LR: 0.000800
Training Epoch: 18 [30208/46250]	Loss: 0.3182	LR: 0.000800
Training Epoch: 18 [30464/46250]	Loss: 0.2890	LR: 0.000800
Training Epoch: 18 [30720/46250]	Loss: 0.2183	LR: 0.000800
Training Epoch: 18 [30976/46250]	Loss: 0.2796	LR: 0.000800
Training Epoch: 18 [31232/46250]	Loss: 0.3278	LR: 0.000800
Training Epoch: 18 [31488/46250]	Loss: 0.3326	LR: 0.000800
Training Epoch: 18 [31744/46250]	Loss: 0.3246	LR: 0.000800
Training Epoch: 18 [32000/46250]	Loss: 0.2966	LR: 0.000800
Training Epoch: 18 [32256/46250]	Loss: 0.2864	LR: 0.000800
Training Epoch: 18 [32512/46250]	Loss: 0.2266	LR: 0.000800
Training Epoch: 18 [32768/46250]	Loss: 0.2713	LR: 0.000800
Training Epoch: 18 [33024/46250]	Loss: 0.2496	LR: 0.000800
Training Epoch: 18 [33280/46250]	Loss: 0.3264	LR: 0.000800
Training Epoch: 18 [33536/46250]	Loss: 0.2948	LR: 0.000800
Training Epoch: 18 [33792/46250]	Loss: 0.2363	LR: 0.000800
Training Epoch: 18 [34048/46250]	Loss: 0.3099	LR: 0.000800
Training Epoch: 18 [34304/46250]	Loss: 0.3154	LR: 0.000800
Training Epoch: 18 [34560/46250]	Loss: 0.2370	LR: 0.000800
Training Epoch: 18 [34816/46250]	Loss: 0.3085	LR: 0.000800
Training Epoch: 18 [35072/46250]	Loss: 0.3189	LR: 0.000800
Training Epoch: 18 [35328/46250]	Loss: 0.2701	LR: 0.000800
Training Epoch: 18 [35584/46250]	Loss: 0.3254	LR: 0.000800
Training Epoch: 18 [35840/46250]	Loss: 0.3126	LR: 0.000800
Training Epoch: 18 [36096/46250]	Loss: 0.2754	LR: 0.000800
Training Epoch: 18 [36352/46250]	Loss: 0.2421	LR: 0.000800
Training Epoch: 18 [36608/46250]	Loss: 0.2695	LR: 0.000800
Training Epoch: 18 [36864/46250]	Loss: 0.1972	LR: 0.000800
Training Epoch: 18 [37120/46250]	Loss: 0.3352	LR: 0.000800
Training Epoch: 18 [37376/46250]	Loss: 0.2387	LR: 0.000800
Training Epoch: 18 [37632/46250]	Loss: 0.2486	LR: 0.000800
Training Epoch: 18 [37888/46250]	Loss: 0.2136	LR: 0.000800
Training Epoch: 18 [38144/46250]	Loss: 0.2334	LR: 0.000800
Training Epoch: 18 [38400/46250]	Loss: 0.2457	LR: 0.000800
Training Epoch: 18 [38656/46250]	Loss: 0.2402	LR: 0.000800
Training Epoch: 18 [38912/46250]	Loss: 0.3728	LR: 0.000800
Training Epoch: 18 [39168/46250]	Loss: 0.2815	LR: 0.000800
Training Epoch: 18 [39424/46250]	Loss: 0.2975	LR: 0.000800
Training Epoch: 18 [39680/46250]	Loss: 0.2612	LR: 0.000800
Training Epoch: 18 [39936/46250]	Loss: 0.3516	LR: 0.000800
Training Epoch: 18 [40192/46250]	Loss: 0.2786	LR: 0.000800
Training Epoch: 18 [40448/46250]	Loss: 0.2914	LR: 0.000800
Training Epoch: 18 [40704/46250]	Loss: 0.2935	LR: 0.000800
Training Epoch: 18 [40960/46250]	Loss: 0.3011	LR: 0.000800
Training Epoch: 18 [41216/46250]	Loss: 0.2662	LR: 0.000800
Training Epoch: 18 [41472/46250]	Loss: 0.2798	LR: 0.000800
Training Epoch: 18 [41728/46250]	Loss: 0.2764	LR: 0.000800
Training Epoch: 18 [41984/46250]	Loss: 0.3032	LR: 0.000800
Training Epoch: 18 [42240/46250]	Loss: 0.2374	LR: 0.000800
Training Epoch: 18 [42496/46250]	Loss: 0.4206	LR: 0.000800
Training Epoch: 18 [42752/46250]	Loss: 0.2897	LR: 0.000800
Training Epoch: 18 [43008/46250]	Loss: 0.3027	LR: 0.000800
Training Epoch: 18 [43264/46250]	Loss: 0.3763	LR: 0.000800
Training Epoch: 18 [43520/46250]	Loss: 0.2353	LR: 0.000800
Training Epoch: 18 [43776/46250]	Loss: 0.3224	LR: 0.000800
Training Epoch: 18 [44032/46250]	Loss: 0.2368	LR: 0.000800
Training Epoch: 18 [44288/46250]	Loss: 0.2226	LR: 0.000800
Training Epoch: 18 [44544/46250]	Loss: 0.2855	LR: 0.000800
Training Epoch: 18 [44800/46250]	Loss: 0.2701	LR: 0.000800
Training Epoch: 18 [45056/46250]	Loss: 0.2219	LR: 0.000800
Training Epoch: 18 [45312/46250]	Loss: 0.2226	LR: 0.000800
Training Epoch: 18 [45568/46250]	Loss: 0.1882	LR: 0.000800
Training Epoch: 18 [45824/46250]	Loss: 0.2650	LR: 0.000800
Training Epoch: 18 [46080/46250]	Loss: 0.2508	LR: 0.000800
Training Epoch: 18 [46250/46250]	Loss: 0.2713	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2800, Train Accuracy: 0.9023
Epoch 18 training time consumed: 27.86s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8850, Time consumed:0.97s
Training Epoch: 19 [256/46250]	Loss: 0.3305	LR: 0.000800
Training Epoch: 19 [512/46250]	Loss: 0.2930	LR: 0.000800
Training Epoch: 19 [768/46250]	Loss: 0.1867	LR: 0.000800
Training Epoch: 19 [1024/46250]	Loss: 0.2417	LR: 0.000800
Training Epoch: 19 [1280/46250]	Loss: 0.3130	LR: 0.000800
Training Epoch: 19 [1536/46250]	Loss: 0.3157	LR: 0.000800
Training Epoch: 19 [1792/46250]	Loss: 0.3324	LR: 0.000800
Training Epoch: 19 [2048/46250]	Loss: 0.2503	LR: 0.000800
Training Epoch: 19 [2304/46250]	Loss: 0.3160	LR: 0.000800
Training Epoch: 19 [2560/46250]	Loss: 0.3022	LR: 0.000800
Training Epoch: 19 [2816/46250]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [3072/46250]	Loss: 0.2535	LR: 0.000800
Training Epoch: 19 [3328/46250]	Loss: 0.2806	LR: 0.000800
Training Epoch: 19 [3584/46250]	Loss: 0.3366	LR: 0.000800
Training Epoch: 19 [3840/46250]	Loss: 0.2563	LR: 0.000800
Training Epoch: 19 [4096/46250]	Loss: 0.2658	LR: 0.000800
Training Epoch: 19 [4352/46250]	Loss: 0.2171	LR: 0.000800
Training Epoch: 19 [4608/46250]	Loss: 0.2486	LR: 0.000800
Training Epoch: 19 [4864/46250]	Loss: 0.2670	LR: 0.000800
Training Epoch: 19 [5120/46250]	Loss: 0.2288	LR: 0.000800
Training Epoch: 19 [5376/46250]	Loss: 0.2670	LR: 0.000800
Training Epoch: 19 [5632/46250]	Loss: 0.2552	LR: 0.000800
Training Epoch: 19 [5888/46250]	Loss: 0.2687	LR: 0.000800
Training Epoch: 19 [6144/46250]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [6400/46250]	Loss: 0.2636	LR: 0.000800
Training Epoch: 19 [6656/46250]	Loss: 0.2546	LR: 0.000800
Training Epoch: 19 [6912/46250]	Loss: 0.2206	LR: 0.000800
Training Epoch: 19 [7168/46250]	Loss: 0.3933	LR: 0.000800
Training Epoch: 19 [7424/46250]	Loss: 0.2103	LR: 0.000800
Training Epoch: 19 [7680/46250]	Loss: 0.3196	LR: 0.000800
Training Epoch: 19 [7936/46250]	Loss: 0.2749	LR: 0.000800
Training Epoch: 19 [8192/46250]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [8448/46250]	Loss: 0.2815	LR: 0.000800
Training Epoch: 19 [8704/46250]	Loss: 0.3172	LR: 0.000800
Training Epoch: 19 [8960/46250]	Loss: 0.3790	LR: 0.000800
Training Epoch: 19 [9216/46250]	Loss: 0.2556	LR: 0.000800
Training Epoch: 19 [9472/46250]	Loss: 0.2762	LR: 0.000800
Training Epoch: 19 [9728/46250]	Loss: 0.2310	LR: 0.000800
Training Epoch: 19 [9984/46250]	Loss: 0.2909	LR: 0.000800
Training Epoch: 19 [10240/46250]	Loss: 0.2493	LR: 0.000800
Training Epoch: 19 [10496/46250]	Loss: 0.2443	LR: 0.000800
Training Epoch: 19 [10752/46250]	Loss: 0.2971	LR: 0.000800
Training Epoch: 19 [11008/46250]	Loss: 0.2866	LR: 0.000800
Training Epoch: 19 [11264/46250]	Loss: 0.3036	LR: 0.000800
Training Epoch: 19 [11520/46250]	Loss: 0.3168	LR: 0.000800
Training Epoch: 19 [11776/46250]	Loss: 0.2323	LR: 0.000800
Training Epoch: 19 [12032/46250]	Loss: 0.2526	LR: 0.000800
Training Epoch: 19 [12288/46250]	Loss: 0.2775	LR: 0.000800
Training Epoch: 19 [12544/46250]	Loss: 0.2814	LR: 0.000800
Training Epoch: 19 [12800/46250]	Loss: 0.2592	LR: 0.000800
Training Epoch: 19 [13056/46250]	Loss: 0.2270	LR: 0.000800
Training Epoch: 19 [13312/46250]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [13568/46250]	Loss: 0.2383	LR: 0.000800
Training Epoch: 19 [13824/46250]	Loss: 0.3221	LR: 0.000800
Training Epoch: 19 [14080/46250]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [14336/46250]	Loss: 0.2824	LR: 0.000800
Training Epoch: 19 [14592/46250]	Loss: 0.2101	LR: 0.000800
Training Epoch: 19 [14848/46250]	Loss: 0.2320	LR: 0.000800
Training Epoch: 19 [15104/46250]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [15360/46250]	Loss: 0.2474	LR: 0.000800
Training Epoch: 19 [15616/46250]	Loss: 0.2266	LR: 0.000800
Training Epoch: 19 [15872/46250]	Loss: 0.2690	LR: 0.000800
Training Epoch: 19 [16128/46250]	Loss: 0.2597	LR: 0.000800
Training Epoch: 19 [16384/46250]	Loss: 0.2819	LR: 0.000800
Training Epoch: 19 [16640/46250]	Loss: 0.2364	LR: 0.000800
Training Epoch: 19 [16896/46250]	Loss: 0.2896	LR: 0.000800
Training Epoch: 19 [17152/46250]	Loss: 0.2666	LR: 0.000800
Training Epoch: 19 [17408/46250]	Loss: 0.3249	LR: 0.000800
Training Epoch: 19 [17664/46250]	Loss: 0.3013	LR: 0.000800
Training Epoch: 19 [17920/46250]	Loss: 0.2628	LR: 0.000800
Training Epoch: 19 [18176/46250]	Loss: 0.2412	LR: 0.000800
Training Epoch: 19 [18432/46250]	Loss: 0.3469	LR: 0.000800
Training Epoch: 19 [18688/46250]	Loss: 0.2643	LR: 0.000800
Training Epoch: 19 [18944/46250]	Loss: 0.3362	LR: 0.000800
Training Epoch: 19 [19200/46250]	Loss: 0.2851	LR: 0.000800
Training Epoch: 19 [19456/46250]	Loss: 0.3700	LR: 0.000800
Training Epoch: 19 [19712/46250]	Loss: 0.3051	LR: 0.000800
Training Epoch: 19 [19968/46250]	Loss: 0.3900	LR: 0.000800
Training Epoch: 19 [20224/46250]	Loss: 0.2676	LR: 0.000800
Training Epoch: 19 [20480/46250]	Loss: 0.2775	LR: 0.000800
Training Epoch: 19 [20736/46250]	Loss: 0.2435	LR: 0.000800
Training Epoch: 19 [20992/46250]	Loss: 0.2172	LR: 0.000800
Training Epoch: 19 [21248/46250]	Loss: 0.2608	LR: 0.000800
Training Epoch: 19 [21504/46250]	Loss: 0.3230	LR: 0.000800
Training Epoch: 19 [21760/46250]	Loss: 0.3280	LR: 0.000800
Training Epoch: 19 [22016/46250]	Loss: 0.2372	LR: 0.000800
Training Epoch: 19 [22272/46250]	Loss: 0.2203	LR: 0.000800
Training Epoch: 19 [22528/46250]	Loss: 0.2352	LR: 0.000800
Training Epoch: 19 [22784/46250]	Loss: 0.2453	LR: 0.000800
Training Epoch: 19 [23040/46250]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [23296/46250]	Loss: 0.2599	LR: 0.000800
Training Epoch: 19 [23552/46250]	Loss: 0.2834	LR: 0.000800
Training Epoch: 19 [23808/46250]	Loss: 0.3455	LR: 0.000800
Training Epoch: 19 [24064/46250]	Loss: 0.2852	LR: 0.000800
Training Epoch: 19 [24320/46250]	Loss: 0.2785	LR: 0.000800
Training Epoch: 19 [24576/46250]	Loss: 0.2976	LR: 0.000800
Training Epoch: 19 [24832/46250]	Loss: 0.2695	LR: 0.000800
Training Epoch: 19 [25088/46250]	Loss: 0.3035	LR: 0.000800
Training Epoch: 19 [25344/46250]	Loss: 0.2181	LR: 0.000800
Training Epoch: 19 [25600/46250]	Loss: 0.2551	LR: 0.000800
Training Epoch: 19 [25856/46250]	Loss: 0.2578	LR: 0.000800
Training Epoch: 19 [26112/46250]	Loss: 0.4555	LR: 0.000800
Training Epoch: 19 [26368/46250]	Loss: 0.3242	LR: 0.000800
Training Epoch: 19 [26624/46250]	Loss: 0.2489	LR: 0.000800
Training Epoch: 19 [26880/46250]	Loss: 0.3009	LR: 0.000800
Training Epoch: 19 [27136/46250]	Loss: 0.3354	LR: 0.000800
Training Epoch: 19 [27392/46250]	Loss: 0.3129	LR: 0.000800
Training Epoch: 19 [27648/46250]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [27904/46250]	Loss: 0.2414	LR: 0.000800
Training Epoch: 19 [28160/46250]	Loss: 0.2619	LR: 0.000800
Training Epoch: 19 [28416/46250]	Loss: 0.1876	LR: 0.000800
Training Epoch: 19 [28672/46250]	Loss: 0.2764	LR: 0.000800
Training Epoch: 19 [28928/46250]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [29184/46250]	Loss: 0.3354	LR: 0.000800
Training Epoch: 19 [29440/46250]	Loss: 0.2795	LR: 0.000800
Training Epoch: 19 [29696/46250]	Loss: 0.3104	LR: 0.000800
Training Epoch: 19 [29952/46250]	Loss: 0.2439	LR: 0.000800
Training Epoch: 19 [30208/46250]	Loss: 0.2376	LR: 0.000800
Training Epoch: 19 [30464/46250]	Loss: 0.3378	LR: 0.000800
Training Epoch: 19 [30720/46250]	Loss: 0.2136	LR: 0.000800
Training Epoch: 19 [30976/46250]	Loss: 0.2696	LR: 0.000800
Training Epoch: 19 [31232/46250]	Loss: 0.2577	LR: 0.000800
Training Epoch: 19 [31488/46250]	Loss: 0.2226	LR: 0.000800
Training Epoch: 19 [31744/46250]	Loss: 0.2166	LR: 0.000800
Training Epoch: 19 [32000/46250]	Loss: 0.1983	LR: 0.000800
Training Epoch: 19 [32256/46250]	Loss: 0.1904	LR: 0.000800
Training Epoch: 19 [32512/46250]	Loss: 0.3479	LR: 0.000800
Training Epoch: 19 [32768/46250]	Loss: 0.2300	LR: 0.000800
Training Epoch: 19 [33024/46250]	Loss: 0.3545	LR: 0.000800
Training Epoch: 19 [33280/46250]	Loss: 0.2432	LR: 0.000800
Training Epoch: 19 [33536/46250]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [33792/46250]	Loss: 0.3660	LR: 0.000800
Training Epoch: 19 [34048/46250]	Loss: 0.2980	LR: 0.000800
Training Epoch: 19 [34304/46250]	Loss: 0.3317	LR: 0.000800
Training Epoch: 19 [34560/46250]	Loss: 0.2840	LR: 0.000800
Training Epoch: 19 [34816/46250]	Loss: 0.3308	LR: 0.000800
Training Epoch: 19 [35072/46250]	Loss: 0.3106	LR: 0.000800
Training Epoch: 19 [35328/46250]	Loss: 0.3125	LR: 0.000800
Training Epoch: 19 [35584/46250]	Loss: 0.2820	LR: 0.000800
Training Epoch: 19 [35840/46250]	Loss: 0.2963	LR: 0.000800
Training Epoch: 19 [36096/46250]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [36352/46250]	Loss: 0.2381	LR: 0.000800
Training Epoch: 19 [36608/46250]	Loss: 0.2365	LR: 0.000800
Training Epoch: 19 [36864/46250]	Loss: 0.2060	LR: 0.000800
Training Epoch: 19 [37120/46250]	Loss: 0.2898	LR: 0.000800
Training Epoch: 19 [37376/46250]	Loss: 0.2604	LR: 0.000800
Training Epoch: 19 [37632/46250]	Loss: 0.2875	LR: 0.000800
Training Epoch: 19 [37888/46250]	Loss: 0.2585	LR: 0.000800
Training Epoch: 19 [38144/46250]	Loss: 0.2885	LR: 0.000800
Training Epoch: 19 [38400/46250]	Loss: 0.2794	LR: 0.000800
Training Epoch: 19 [38656/46250]	Loss: 0.2800	LR: 0.000800
Training Epoch: 19 [38912/46250]	Loss: 0.2424	LR: 0.000800
Training Epoch: 19 [39168/46250]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [39424/46250]	Loss: 0.2520	LR: 0.000800
Training Epoch: 19 [39680/46250]	Loss: 0.2689	LR: 0.000800
Training Epoch: 19 [39936/46250]	Loss: 0.4355	LR: 0.000800
Training Epoch: 19 [40192/46250]	Loss: 0.2797	LR: 0.000800
Training Epoch: 19 [40448/46250]	Loss: 0.3453	LR: 0.000800
Training Epoch: 19 [40704/46250]	Loss: 0.2838	LR: 0.000800
Training Epoch: 19 [40960/46250]	Loss: 0.3162	LR: 0.000800
Training Epoch: 19 [41216/46250]	Loss: 0.2787	LR: 0.000800
Training Epoch: 19 [41472/46250]	Loss: 0.2847	LR: 0.000800
Training Epoch: 19 [41728/46250]	Loss: 0.2594	LR: 0.000800
Training Epoch: 19 [41984/46250]	Loss: 0.2920	LR: 0.000800
Training Epoch: 19 [42240/46250]	Loss: 0.3039	LR: 0.000800
Training Epoch: 19 [42496/46250]	Loss: 0.2317	LR: 0.000800
Training Epoch: 19 [42752/46250]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [43008/46250]	Loss: 0.2287	LR: 0.000800
Training Epoch: 19 [43264/46250]	Loss: 0.2716	LR: 0.000800
Training Epoch: 19 [43520/46250]	Loss: 0.2196	LR: 0.000800
Training Epoch: 19 [43776/46250]	Loss: 0.2592	LR: 0.000800
Training Epoch: 19 [44032/46250]	Loss: 0.2460	LR: 0.000800
Training Epoch: 19 [44288/46250]	Loss: 0.3284	LR: 0.000800
Training Epoch: 19 [44544/46250]	Loss: 0.3357	LR: 0.000800
Training Epoch: 19 [44800/46250]	Loss: 0.2127	LR: 0.000800
Training Epoch: 19 [45056/46250]	Loss: 0.2707	LR: 0.000800
Training Epoch: 19 [45312/46250]	Loss: 0.2334	LR: 0.000800
Training Epoch: 19 [45568/46250]	Loss: 0.3330	LR: 0.000800
Training Epoch: 19 [45824/46250]	Loss: 0.2801	LR: 0.000800
Training Epoch: 19 [46080/46250]	Loss: 0.2596	LR: 0.000800
Training Epoch: 19 [46250/46250]	Loss: 0.2256	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2768, Train Accuracy: 0.9020
Epoch 19 training time consumed: 28.25s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8863, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-ret25-19-best.pth
Training Epoch: 20 [256/46250]	Loss: 0.2922	LR: 0.000800
Training Epoch: 20 [512/46250]	Loss: 0.2243	LR: 0.000800
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Training Epoch: 20 [45824/46250]	Loss: 0.3244	LR: 0.000800
Training Epoch: 20 [46080/46250]	Loss: 0.2532	LR: 0.000800
Training Epoch: 20 [46250/46250]	Loss: 0.2453	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2757, Train Accuracy: 0.9035
Epoch 20 training time consumed: 27.80s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8870, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Friday_11_July_2025_19h_53m_42s/ResNet18-Cifar10-seed4-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: 88.818359375
Retain Accuracy: 91.02304077148438
Zero-Retain Forget (ZRF): 0.835873007774353
Membership Inference Attack (MIA): 0.6090666666666666
Forget vs Retain Membership Inference Attack (MIA): 0.5173333333333333
Forget vs Test Membership Inference Attack (MIA): 0.538
Test vs Retain Membership Inference Attack (MIA): 0.5125
Train vs Test Membership Inference Attack (MIA): 0.52075
Forget Set Accuracy (Df): 86.06645202636719
Method Execution Time: 1519.38 seconds
