hello
hello
Labels

📌S 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

📌S 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
780909900

📊 Updated class distribution:
Retain set:
  Class 0: 4875
  Class 1: 4875
  Class 2: 4875
  Class 3: 4875
  Class 4: 4875
  Class 5: 4875
  Class 6: 4875
  Class 7: 4875
  Class 8: 4875
  Class 9: 4875
Forget set:
  Class 0: 125
  Class 1: 125
  Class 2: 125
  Class 3: 125
  Class 4: 125
  Class 5: 125
  Class 6: 125
  Class 7: 125
  Class 8: 125
  Class 9: 125
hello
hello
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48750]	Loss: 2.3266	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3517	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3636	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3215	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2874	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2812	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2620	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2202	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.1701	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.1949	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2192	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2084	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1112	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.0143	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0411	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0143	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.8470	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9155	LR: 0.008901
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Training Epoch: 1 [5888/48750]	Loss: 1.7785	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.7227	LR: 0.012042
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Training Epoch: 1 [6656/48750]	Loss: 1.7637	LR: 0.013089
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Training Epoch: 1 [8192/48750]	Loss: 1.7283	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.7689	LR: 0.016754
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Training Epoch: 1 [8960/48750]	Loss: 1.6705	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.5807	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.6118	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.6778	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.7828	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.6898	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7302	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.6017	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.6374	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.6612	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.5859	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7525	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7229	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.6145	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6251	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.6151	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.6738	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6209	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.5368	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.8499	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.5065	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.5986	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.6429	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6551	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.3648	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6126	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7196	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.4768	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.6414	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7456	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.5672	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6046	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.5691	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.6076	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6037	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6008	LR: 0.036126
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Training Epoch: 1 [18432/48750]	Loss: 1.4561	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.2602	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.6575	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.5299	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.2949	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.7081	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.3957	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.4213	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.4722	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.4307	LR: 0.041885
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Training Epoch: 1 [21248/48750]	Loss: 1.5142	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.4692	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.3880	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.4720	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.3463	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.5759	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.3892	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5220	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6470	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.4666	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.4997	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5093	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5309	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.4309	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.3726	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.4001	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.2703	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.3464	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.3254	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.3981	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.3288	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.5208	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5404	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.4476	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.4215	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.2347	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.3461	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.3200	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.4202	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.4153	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.3462	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.3003	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.3706	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.3345	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.2564	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.4752	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.2423	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.4761	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.3091	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.4724	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.2290	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.3239	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.3215	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.2262	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.3868	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.3058	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.4429	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.3655	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.4878	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.5752	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5396	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.3991	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.3302	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.2815	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.6123	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.3187	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5218	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.3664	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.3228	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.4417	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.5047	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.1679	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.4026	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.3080	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4927	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.4843	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.2362	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.3767	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.2405	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.2634	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.2403	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.3303	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.1435	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.2586	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.2051	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.2277	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.2906	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.2292	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.4503	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.1974	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.1445	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4913	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.1334	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.1468	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.1855	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.3318	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.1310	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.1896	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.1707	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.2822	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.1447	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.1967	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.2849	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.1489	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.3091	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3432	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.2282	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.1531	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.1911	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.1132	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.1691	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.1611	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.1620	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.0736	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.2595	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.0015	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.1432	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.1265	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.4555	LR: 0.099476
Epoch 1 - Average Train Loss: 1.5140, Train Accuracy: 0.4475
Epoch 1 training time consumed: 19.58s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0113, Accuracy: 0.3975, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_16m_22s/ResNet18-Cifar10-seed3-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.3144	LR: 0.020000
Training Epoch: 2 [512/48750]	Loss: 1.3349	LR: 0.020000
Training Epoch: 2 [768/48750]	Loss: 1.1994	LR: 0.020000
Training Epoch: 2 [1024/48750]	Loss: 1.1992	LR: 0.020000
Training Epoch: 2 [1280/48750]	Loss: 1.0928	LR: 0.020000
Training Epoch: 2 [1536/48750]	Loss: 1.0425	LR: 0.020000
Training Epoch: 2 [1792/48750]	Loss: 1.0753	LR: 0.020000
Training Epoch: 2 [2048/48750]	Loss: 1.1078	LR: 0.020000
Training Epoch: 2 [2304/48750]	Loss: 1.2320	LR: 0.020000
Training Epoch: 2 [2560/48750]	Loss: 1.1214	LR: 0.020000
Training Epoch: 2 [2816/48750]	Loss: 1.0223	LR: 0.020000
Training Epoch: 2 [3072/48750]	Loss: 0.9377	LR: 0.020000
Training Epoch: 2 [3328/48750]	Loss: 1.0026	LR: 0.020000
Training Epoch: 2 [3584/48750]	Loss: 0.9130	LR: 0.020000
Training Epoch: 2 [3840/48750]	Loss: 1.0619	LR: 0.020000
Training Epoch: 2 [4096/48750]	Loss: 0.9477	LR: 0.020000
Training Epoch: 2 [4352/48750]	Loss: 1.0069	LR: 0.020000
Training Epoch: 2 [4608/48750]	Loss: 0.9407	LR: 0.020000
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Training Epoch: 2 [5888/48750]	Loss: 0.8997	LR: 0.020000
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Training Epoch: 2 [10240/48750]	Loss: 0.6947	LR: 0.020000
Training Epoch: 2 [10496/48750]	Loss: 0.8168	LR: 0.020000
Training Epoch: 2 [10752/48750]	Loss: 0.8544	LR: 0.020000
Training Epoch: 2 [11008/48750]	Loss: 0.7577	LR: 0.020000
Training Epoch: 2 [11264/48750]	Loss: 0.8012	LR: 0.020000
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Training Epoch: 2 [11776/48750]	Loss: 0.7329	LR: 0.020000
Training Epoch: 2 [12032/48750]	Loss: 0.7316	LR: 0.020000
Training Epoch: 2 [12288/48750]	Loss: 0.8920	LR: 0.020000
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Training Epoch: 2 [12800/48750]	Loss: 0.8256	LR: 0.020000
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Training Epoch: 2 [13568/48750]	Loss: 0.8115	LR: 0.020000
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Training Epoch: 2 [14336/48750]	Loss: 0.7043	LR: 0.020000
Training Epoch: 2 [14592/48750]	Loss: 0.7359	LR: 0.020000
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Training Epoch: 2 [16640/48750]	Loss: 0.7831	LR: 0.020000
Training Epoch: 2 [16896/48750]	Loss: 0.7990	LR: 0.020000
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Training Epoch: 2 [20224/48750]	Loss: 0.8472	LR: 0.020000
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Training Epoch: 2 [47616/48750]	Loss: 0.6087	LR: 0.020000
Training Epoch: 2 [47872/48750]	Loss: 0.7298	LR: 0.020000
Training Epoch: 2 [48128/48750]	Loss: 0.6985	LR: 0.020000
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Training Epoch: 2 [48640/48750]	Loss: 0.7355	LR: 0.020000
Training Epoch: 2 [48750/48750]	Loss: 0.6573	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7777, Train Accuracy: 0.7214
Epoch 2 training time consumed: 19.35s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0030, Accuracy: 0.7440, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_16m_22s/ResNet18-Cifar10-seed3-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.5502	LR: 0.020000
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Training Epoch: 3 [44544/48750]	Loss: 0.6297	LR: 0.020000
Training Epoch: 3 [44800/48750]	Loss: 0.4437	LR: 0.020000
Training Epoch: 3 [45056/48750]	Loss: 0.5112	LR: 0.020000
Training Epoch: 3 [45312/48750]	Loss: 0.5801	LR: 0.020000
Training Epoch: 3 [45568/48750]	Loss: 0.4512	LR: 0.020000
Training Epoch: 3 [45824/48750]	Loss: 0.6364	LR: 0.020000
Training Epoch: 3 [46080/48750]	Loss: 0.5480	LR: 0.020000
Training Epoch: 3 [46336/48750]	Loss: 0.4649	LR: 0.020000
Training Epoch: 3 [46592/48750]	Loss: 0.4616	LR: 0.020000
Training Epoch: 3 [46848/48750]	Loss: 0.6149	LR: 0.020000
Training Epoch: 3 [47104/48750]	Loss: 0.4490	LR: 0.020000
Training Epoch: 3 [47360/48750]	Loss: 0.6001	LR: 0.020000
Training Epoch: 3 [47616/48750]	Loss: 0.4946	LR: 0.020000
Training Epoch: 3 [47872/48750]	Loss: 0.5212	LR: 0.020000
Training Epoch: 3 [48128/48750]	Loss: 0.5686	LR: 0.020000
Training Epoch: 3 [48384/48750]	Loss: 0.3987	LR: 0.020000
Training Epoch: 3 [48640/48750]	Loss: 0.4938	LR: 0.020000
Training Epoch: 3 [48750/48750]	Loss: 0.6270	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5721, Train Accuracy: 0.7982
Epoch 3 training time consumed: 19.25s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0028, Accuracy: 0.7617, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_16m_22s/ResNet18-Cifar10-seed3-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.4268	LR: 0.020000
Training Epoch: 4 [512/48750]	Loss: 0.3629	LR: 0.020000
Training Epoch: 4 [768/48750]	Loss: 0.4531	LR: 0.020000
Training Epoch: 4 [1024/48750]	Loss: 0.3740	LR: 0.020000
Training Epoch: 4 [1280/48750]	Loss: 0.4082	LR: 0.020000
Training Epoch: 4 [1536/48750]	Loss: 0.4969	LR: 0.020000
Training Epoch: 4 [1792/48750]	Loss: 0.4235	LR: 0.020000
Training Epoch: 4 [2048/48750]	Loss: 0.4333	LR: 0.020000
Training Epoch: 4 [2304/48750]	Loss: 0.3572	LR: 0.020000
Training Epoch: 4 [2560/48750]	Loss: 0.4533	LR: 0.020000
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Training Epoch: 4 [44800/48750]	Loss: 0.3399	LR: 0.020000
Training Epoch: 4 [45056/48750]	Loss: 0.4248	LR: 0.020000
Training Epoch: 4 [45312/48750]	Loss: 0.4768	LR: 0.020000
Training Epoch: 4 [45568/48750]	Loss: 0.5387	LR: 0.020000
Training Epoch: 4 [45824/48750]	Loss: 0.3768	LR: 0.020000
Training Epoch: 4 [46080/48750]	Loss: 0.5304	LR: 0.020000
Training Epoch: 4 [46336/48750]	Loss: 0.3740	LR: 0.020000
Training Epoch: 4 [46592/48750]	Loss: 0.3038	LR: 0.020000
Training Epoch: 4 [46848/48750]	Loss: 0.3766	LR: 0.020000
Training Epoch: 4 [47104/48750]	Loss: 0.4608	LR: 0.020000
Training Epoch: 4 [47360/48750]	Loss: 0.5419	LR: 0.020000
Training Epoch: 4 [47616/48750]	Loss: 0.4559	LR: 0.020000
Training Epoch: 4 [47872/48750]	Loss: 0.3212	LR: 0.020000
Training Epoch: 4 [48128/48750]	Loss: 0.3979	LR: 0.020000
Training Epoch: 4 [48384/48750]	Loss: 0.4712	LR: 0.020000
Training Epoch: 4 [48640/48750]	Loss: 0.4035	LR: 0.020000
Training Epoch: 4 [48750/48750]	Loss: 0.5481	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4333, Train Accuracy: 0.8482
Epoch 4 training time consumed: 19.25s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0030, Accuracy: 0.7561, Time consumed:1.05s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_16m_22s/ResNet18-Cifar10-seed3-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.3108	LR: 0.004000
Training Epoch: 5 [512/48750]	Loss: 0.2918	LR: 0.004000
Training Epoch: 5 [768/48750]	Loss: 0.3078	LR: 0.004000
Training Epoch: 5 [1024/48750]	Loss: 0.2420	LR: 0.004000
Training Epoch: 5 [1280/48750]	Loss: 0.2212	LR: 0.004000
Training Epoch: 5 [1536/48750]	Loss: 0.3406	LR: 0.004000
Training Epoch: 5 [1792/48750]	Loss: 0.3049	LR: 0.004000
Training Epoch: 5 [2048/48750]	Loss: 0.3307	LR: 0.004000
Training Epoch: 5 [2304/48750]	Loss: 0.2907	LR: 0.004000
Training Epoch: 5 [2560/48750]	Loss: 0.2334	LR: 0.004000
Training Epoch: 5 [2816/48750]	Loss: 0.3631	LR: 0.004000
Training Epoch: 5 [3072/48750]	Loss: 0.2775	LR: 0.004000
Training Epoch: 5 [3328/48750]	Loss: 0.2707	LR: 0.004000
Training Epoch: 5 [3584/48750]	Loss: 0.2448	LR: 0.004000
Training Epoch: 5 [3840/48750]	Loss: 0.2925	LR: 0.004000
Training Epoch: 5 [4096/48750]	Loss: 0.2565	LR: 0.004000
Training Epoch: 5 [4352/48750]	Loss: 0.3194	LR: 0.004000
Training Epoch: 5 [4608/48750]	Loss: 0.1772	LR: 0.004000
Training Epoch: 5 [4864/48750]	Loss: 0.2032	LR: 0.004000
Training Epoch: 5 [5120/48750]	Loss: 0.2868	LR: 0.004000
Training Epoch: 5 [5376/48750]	Loss: 0.2651	LR: 0.004000
Training Epoch: 5 [5632/48750]	Loss: 0.2065	LR: 0.004000
Training Epoch: 5 [5888/48750]	Loss: 0.2761	LR: 0.004000
Training Epoch: 5 [6144/48750]	Loss: 0.2535	LR: 0.004000
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Training Epoch: 5 [8448/48750]	Loss: 0.1885	LR: 0.004000
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Training Epoch: 5 [10496/48750]	Loss: 0.2291	LR: 0.004000
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Training Epoch: 5 [16128/48750]	Loss: 0.2131	LR: 0.004000
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Training Epoch: 5 [18688/48750]	Loss: 0.1938	LR: 0.004000
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Training Epoch: 5 [46080/48750]	Loss: 0.2213	LR: 0.004000
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Training Epoch: 5 [46592/48750]	Loss: 0.1892	LR: 0.004000
Training Epoch: 5 [46848/48750]	Loss: 0.2465	LR: 0.004000
Training Epoch: 5 [47104/48750]	Loss: 0.1641	LR: 0.004000
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Training Epoch: 5 [47616/48750]	Loss: 0.1796	LR: 0.004000
Training Epoch: 5 [47872/48750]	Loss: 0.1181	LR: 0.004000
Training Epoch: 5 [48128/48750]	Loss: 0.2491	LR: 0.004000
Training Epoch: 5 [48384/48750]	Loss: 0.1593	LR: 0.004000
Training Epoch: 5 [48640/48750]	Loss: 0.2159	LR: 0.004000
Training Epoch: 5 [48750/48750]	Loss: 0.1649	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2026, Train Accuracy: 0.9355
Epoch 5 training time consumed: 18.97s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0021, Accuracy: 0.8277, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_16m_22s/ResNet18-Cifar10-seed3-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.1219	LR: 0.004000
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Training Epoch: 6 [11264/48750]	Loss: 0.1541	LR: 0.004000
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Training Epoch: 6 [37632/48750]	Loss: 0.1197	LR: 0.004000
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Training Epoch: 6 [43008/48750]	Loss: 0.1332	LR: 0.004000
Training Epoch: 6 [43264/48750]	Loss: 0.1101	LR: 0.004000
Training Epoch: 6 [43520/48750]	Loss: 0.0984	LR: 0.004000
Training Epoch: 6 [43776/48750]	Loss: 0.1010	LR: 0.004000
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Training Epoch: 6 [44544/48750]	Loss: 0.1097	LR: 0.004000
Training Epoch: 6 [44800/48750]	Loss: 0.1217	LR: 0.004000
Training Epoch: 6 [45056/48750]	Loss: 0.1247	LR: 0.004000
Training Epoch: 6 [45312/48750]	Loss: 0.1050	LR: 0.004000
Training Epoch: 6 [45568/48750]	Loss: 0.1214	LR: 0.004000
Training Epoch: 6 [45824/48750]	Loss: 0.0727	LR: 0.004000
Training Epoch: 6 [46080/48750]	Loss: 0.0987	LR: 0.004000
Training Epoch: 6 [46336/48750]	Loss: 0.1151	LR: 0.004000
Training Epoch: 6 [46592/48750]	Loss: 0.1345	LR: 0.004000
Training Epoch: 6 [46848/48750]	Loss: 0.1178	LR: 0.004000
Training Epoch: 6 [47104/48750]	Loss: 0.0857	LR: 0.004000
Training Epoch: 6 [47360/48750]	Loss: 0.0970	LR: 0.004000
Training Epoch: 6 [47616/48750]	Loss: 0.1062	LR: 0.004000
Training Epoch: 6 [47872/48750]	Loss: 0.1018	LR: 0.004000
Training Epoch: 6 [48128/48750]	Loss: 0.1053	LR: 0.004000
Training Epoch: 6 [48384/48750]	Loss: 0.0946	LR: 0.004000
Training Epoch: 6 [48640/48750]	Loss: 0.0907	LR: 0.004000
Training Epoch: 6 [48750/48750]	Loss: 0.1187	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1145, Train Accuracy: 0.9677
Epoch 6 training time consumed: 19.31s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0022, Accuracy: 0.8309, Time consumed:1.02s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_16m_22s/ResNet18-Cifar10-seed3-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.0507	LR: 0.004000
Training Epoch: 7 [512/48750]	Loss: 0.0637	LR: 0.004000
Training Epoch: 7 [768/48750]	Loss: 0.0574	LR: 0.004000
Training Epoch: 7 [1024/48750]	Loss: 0.0625	LR: 0.004000
Training Epoch: 7 [1280/48750]	Loss: 0.0828	LR: 0.004000
Training Epoch: 7 [1536/48750]	Loss: 0.0631	LR: 0.004000
Training Epoch: 7 [1792/48750]	Loss: 0.0604	LR: 0.004000
Training Epoch: 7 [2048/48750]	Loss: 0.0575	LR: 0.004000
Training Epoch: 7 [2304/48750]	Loss: 0.0643	LR: 0.004000
Training Epoch: 7 [2560/48750]	Loss: 0.0486	LR: 0.004000
Training Epoch: 7 [2816/48750]	Loss: 0.0530	LR: 0.004000
Training Epoch: 7 [3072/48750]	Loss: 0.0644	LR: 0.004000
Training Epoch: 7 [3328/48750]	Loss: 0.0513	LR: 0.004000
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Training Epoch: 7 [3840/48750]	Loss: 0.0519	LR: 0.004000
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Training Epoch: 7 [11520/48750]	Loss: 0.0566	LR: 0.004000
Training Epoch: 7 [11776/48750]	Loss: 0.0832	LR: 0.004000
Training Epoch: 7 [12032/48750]	Loss: 0.0404	LR: 0.004000
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Training Epoch: 7 [15616/48750]	Loss: 0.0737	LR: 0.004000
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Training Epoch: 7 [16128/48750]	Loss: 0.0762	LR: 0.004000
Training Epoch: 7 [16384/48750]	Loss: 0.0527	LR: 0.004000
Training Epoch: 7 [16640/48750]	Loss: 0.0484	LR: 0.004000
Training Epoch: 7 [16896/48750]	Loss: 0.0654	LR: 0.004000
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Training Epoch: 7 [36608/48750]	Loss: 0.0787	LR: 0.004000
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Training Epoch: 7 [40192/48750]	Loss: 0.0588	LR: 0.004000
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Training Epoch: 7 [44032/48750]	Loss: 0.0501	LR: 0.004000
Training Epoch: 7 [44288/48750]	Loss: 0.0547	LR: 0.004000
Training Epoch: 7 [44544/48750]	Loss: 0.0583	LR: 0.004000
Training Epoch: 7 [44800/48750]	Loss: 0.0849	LR: 0.004000
Training Epoch: 7 [45056/48750]	Loss: 0.0486	LR: 0.004000
Training Epoch: 7 [45312/48750]	Loss: 0.0475	LR: 0.004000
Training Epoch: 7 [45568/48750]	Loss: 0.0583	LR: 0.004000
Training Epoch: 7 [45824/48750]	Loss: 0.0712	LR: 0.004000
Training Epoch: 7 [46080/48750]	Loss: 0.0599	LR: 0.004000
Training Epoch: 7 [46336/48750]	Loss: 0.0718	LR: 0.004000
Training Epoch: 7 [46592/48750]	Loss: 0.0452	LR: 0.004000
Training Epoch: 7 [46848/48750]	Loss: 0.0448	LR: 0.004000
Training Epoch: 7 [47104/48750]	Loss: 0.0534	LR: 0.004000
Training Epoch: 7 [47360/48750]	Loss: 0.0360	LR: 0.004000
Training Epoch: 7 [47616/48750]	Loss: 0.0470	LR: 0.004000
Training Epoch: 7 [47872/48750]	Loss: 0.0465	LR: 0.004000
Training Epoch: 7 [48128/48750]	Loss: 0.0631	LR: 0.004000
Training Epoch: 7 [48384/48750]	Loss: 0.0522	LR: 0.004000
Training Epoch: 7 [48640/48750]	Loss: 0.0903	LR: 0.004000
Training Epoch: 7 [48750/48750]	Loss: 0.0548	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0582, Train Accuracy: 0.9879
Epoch 7 training time consumed: 19.29s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0024, Accuracy: 0.8289, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_16m_22s/ResNet18-Cifar10-seed3-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [512/48750]	Loss: 0.0360	LR: 0.004000
Training Epoch: 8 [768/48750]	Loss: 0.0282	LR: 0.004000
Training Epoch: 8 [1024/48750]	Loss: 0.0305	LR: 0.004000
Training Epoch: 8 [1280/48750]	Loss: 0.0288	LR: 0.004000
Training Epoch: 8 [1536/48750]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [1792/48750]	Loss: 0.0395	LR: 0.004000
Training Epoch: 8 [2048/48750]	Loss: 0.0392	LR: 0.004000
Training Epoch: 8 [2304/48750]	Loss: 0.0431	LR: 0.004000
Training Epoch: 8 [2560/48750]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [2816/48750]	Loss: 0.0374	LR: 0.004000
Training Epoch: 8 [3072/48750]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [3328/48750]	Loss: 0.0277	LR: 0.004000
Training Epoch: 8 [3584/48750]	Loss: 0.0324	LR: 0.004000
Training Epoch: 8 [3840/48750]	Loss: 0.0426	LR: 0.004000
Training Epoch: 8 [4096/48750]	Loss: 0.0269	LR: 0.004000
Training Epoch: 8 [4352/48750]	Loss: 0.0479	LR: 0.004000
Training Epoch: 8 [4608/48750]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [4864/48750]	Loss: 0.0404	LR: 0.004000
Training Epoch: 8 [5120/48750]	Loss: 0.0222	LR: 0.004000
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Training Epoch: 8 [5632/48750]	Loss: 0.0273	LR: 0.004000
Training Epoch: 8 [5888/48750]	Loss: 0.0218	LR: 0.004000
Training Epoch: 8 [6144/48750]	Loss: 0.0291	LR: 0.004000
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Training Epoch: 8 [10496/48750]	Loss: 0.0252	LR: 0.004000
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Training Epoch: 8 [11008/48750]	Loss: 0.0221	LR: 0.004000
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Training Epoch: 8 [11776/48750]	Loss: 0.0309	LR: 0.004000
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Training Epoch: 8 [12288/48750]	Loss: 0.0308	LR: 0.004000
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Training Epoch: 8 [14336/48750]	Loss: 0.0311	LR: 0.004000
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Training Epoch: 8 [15872/48750]	Loss: 0.0279	LR: 0.004000
Training Epoch: 8 [16128/48750]	Loss: 0.0289	LR: 0.004000
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Training Epoch: 8 [16896/48750]	Loss: 0.0232	LR: 0.004000
Training Epoch: 8 [17152/48750]	Loss: 0.0236	LR: 0.004000
Training Epoch: 8 [17408/48750]	Loss: 0.0272	LR: 0.004000
Training Epoch: 8 [17664/48750]	Loss: 0.0281	LR: 0.004000
Training Epoch: 8 [17920/48750]	Loss: 0.0338	LR: 0.004000
Training Epoch: 8 [18176/48750]	Loss: 0.0283	LR: 0.004000
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Training Epoch: 8 [19456/48750]	Loss: 0.0249	LR: 0.004000
Training Epoch: 8 [19712/48750]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [19968/48750]	Loss: 0.0207	LR: 0.004000
Training Epoch: 8 [20224/48750]	Loss: 0.0260	LR: 0.004000
Training Epoch: 8 [20480/48750]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [20736/48750]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [20992/48750]	Loss: 0.0223	LR: 0.004000
Training Epoch: 8 [21248/48750]	Loss: 0.0186	LR: 0.004000
Training Epoch: 8 [21504/48750]	Loss: 0.0328	LR: 0.004000
Training Epoch: 8 [21760/48750]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [22016/48750]	Loss: 0.0311	LR: 0.004000
Training Epoch: 8 [22272/48750]	Loss: 0.0223	LR: 0.004000
Training Epoch: 8 [22528/48750]	Loss: 0.0303	LR: 0.004000
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Training Epoch: 8 [23040/48750]	Loss: 0.0287	LR: 0.004000
Training Epoch: 8 [23296/48750]	Loss: 0.0250	LR: 0.004000
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Training Epoch: 8 [24320/48750]	Loss: 0.0239	LR: 0.004000
Training Epoch: 8 [24576/48750]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [24832/48750]	Loss: 0.0204	LR: 0.004000
Training Epoch: 8 [25088/48750]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [25344/48750]	Loss: 0.0303	LR: 0.004000
Training Epoch: 8 [25600/48750]	Loss: 0.0304	LR: 0.004000
Training Epoch: 8 [25856/48750]	Loss: 0.0266	LR: 0.004000
Training Epoch: 8 [26112/48750]	Loss: 0.0299	LR: 0.004000
Training Epoch: 8 [26368/48750]	Loss: 0.0259	LR: 0.004000
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Training Epoch: 8 [27136/48750]	Loss: 0.0186	LR: 0.004000
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Training Epoch: 8 [28416/48750]	Loss: 0.0239	LR: 0.004000
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Training Epoch: 8 [29440/48750]	Loss: 0.0293	LR: 0.004000
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Training Epoch: 8 [30208/48750]	Loss: 0.0255	LR: 0.004000
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Training Epoch: 8 [30976/48750]	Loss: 0.0411	LR: 0.004000
Training Epoch: 8 [31232/48750]	Loss: 0.0303	LR: 0.004000
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Training Epoch: 8 [31744/48750]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [32000/48750]	Loss: 0.0296	LR: 0.004000
Training Epoch: 8 [32256/48750]	Loss: 0.0294	LR: 0.004000
Training Epoch: 8 [32512/48750]	Loss: 0.0380	LR: 0.004000
Training Epoch: 8 [32768/48750]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [33024/48750]	Loss: 0.0321	LR: 0.004000
Training Epoch: 8 [33280/48750]	Loss: 0.0396	LR: 0.004000
Training Epoch: 8 [33536/48750]	Loss: 0.0315	LR: 0.004000
Training Epoch: 8 [33792/48750]	Loss: 0.0242	LR: 0.004000
Training Epoch: 8 [34048/48750]	Loss: 0.0324	LR: 0.004000
Training Epoch: 8 [34304/48750]	Loss: 0.0211	LR: 0.004000
Training Epoch: 8 [34560/48750]	Loss: 0.0250	LR: 0.004000
Training Epoch: 8 [34816/48750]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [35072/48750]	Loss: 0.0188	LR: 0.004000
Training Epoch: 8 [35328/48750]	Loss: 0.0267	LR: 0.004000
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Training Epoch: 8 [35840/48750]	Loss: 0.0220	LR: 0.004000
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Training Epoch: 8 [36352/48750]	Loss: 0.0182	LR: 0.004000
Training Epoch: 8 [36608/48750]	Loss: 0.0273	LR: 0.004000
Training Epoch: 8 [36864/48750]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [37120/48750]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [37376/48750]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [37632/48750]	Loss: 0.0268	LR: 0.004000
Training Epoch: 8 [37888/48750]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [38144/48750]	Loss: 0.0204	LR: 0.004000
Training Epoch: 8 [38400/48750]	Loss: 0.0299	LR: 0.004000
Training Epoch: 8 [38656/48750]	Loss: 0.0234	LR: 0.004000
Training Epoch: 8 [38912/48750]	Loss: 0.0258	LR: 0.004000
Training Epoch: 8 [39168/48750]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [39424/48750]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [39680/48750]	Loss: 0.0272	LR: 0.004000
Training Epoch: 8 [39936/48750]	Loss: 0.0263	LR: 0.004000
Training Epoch: 8 [40192/48750]	Loss: 0.0291	LR: 0.004000
Training Epoch: 8 [40448/48750]	Loss: 0.0333	LR: 0.004000
Training Epoch: 8 [40704/48750]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [40960/48750]	Loss: 0.0230	LR: 0.004000
Training Epoch: 8 [41216/48750]	Loss: 0.0408	LR: 0.004000
Training Epoch: 8 [41472/48750]	Loss: 0.0162	LR: 0.004000
Training Epoch: 8 [41728/48750]	Loss: 0.0226	LR: 0.004000
Training Epoch: 8 [41984/48750]	Loss: 0.0222	LR: 0.004000
Training Epoch: 8 [42240/48750]	Loss: 0.0426	LR: 0.004000
Training Epoch: 8 [42496/48750]	Loss: 0.0186	LR: 0.004000
Training Epoch: 8 [42752/48750]	Loss: 0.0215	LR: 0.004000
Training Epoch: 8 [43008/48750]	Loss: 0.0247	LR: 0.004000
Training Epoch: 8 [43264/48750]	Loss: 0.0265	LR: 0.004000
Training Epoch: 8 [43520/48750]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [43776/48750]	Loss: 0.0172	LR: 0.004000
Training Epoch: 8 [44032/48750]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [44288/48750]	Loss: 0.0253	LR: 0.004000
Training Epoch: 8 [44544/48750]	Loss: 0.0294	LR: 0.004000
Training Epoch: 8 [44800/48750]	Loss: 0.0180	LR: 0.004000
Training Epoch: 8 [45056/48750]	Loss: 0.0342	LR: 0.004000
Training Epoch: 8 [45312/48750]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [45568/48750]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [45824/48750]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [46080/48750]	Loss: 0.0290	LR: 0.004000
Training Epoch: 8 [46336/48750]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [46592/48750]	Loss: 0.0294	LR: 0.004000
Training Epoch: 8 [46848/48750]	Loss: 0.0215	LR: 0.004000
Training Epoch: 8 [47104/48750]	Loss: 0.0222	LR: 0.004000
Training Epoch: 8 [47360/48750]	Loss: 0.0181	LR: 0.004000
Training Epoch: 8 [47616/48750]	Loss: 0.0293	LR: 0.004000
Training Epoch: 8 [47872/48750]	Loss: 0.0231	LR: 0.004000
Training Epoch: 8 [48128/48750]	Loss: 0.0291	LR: 0.004000
Training Epoch: 8 [48384/48750]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [48640/48750]	Loss: 0.0331	LR: 0.004000
Training Epoch: 8 [48750/48750]	Loss: 0.0325	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0271, Train Accuracy: 0.9969
Epoch 8 training time consumed: 19.18s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0026, Accuracy: 0.8255, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_16m_22s/ResNet18-Cifar10-seed3-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [512/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [768/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [1024/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [1280/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [1536/48750]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [1792/48750]	Loss: 0.0228	LR: 0.000800
Training Epoch: 9 [2048/48750]	Loss: 0.0383	LR: 0.000800
Training Epoch: 9 [2304/48750]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [2560/48750]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [2816/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [3072/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [3328/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 9 [3584/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [3840/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [4096/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [4352/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [4608/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [4864/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [5120/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [5376/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 9 [5632/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [5888/48750]	Loss: 0.0166	LR: 0.000800
Training Epoch: 9 [6144/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [6400/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [6656/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [6912/48750]	Loss: 0.0236	LR: 0.000800
Training Epoch: 9 [7168/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [7424/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [7680/48750]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [7936/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [8192/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [8448/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [8704/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [8960/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [9216/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [9472/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [9728/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [9984/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [10240/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [10496/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [10752/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [11008/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [11264/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [11520/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [11776/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [12032/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [12288/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [12544/48750]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [12800/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [13056/48750]	Loss: 0.0181	LR: 0.000800
Training Epoch: 9 [13312/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [13568/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [13824/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [14080/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [14336/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [14592/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [14848/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [15104/48750]	Loss: 0.0279	LR: 0.000800
Training Epoch: 9 [15360/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [15616/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [15872/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [16128/48750]	Loss: 0.0210	LR: 0.000800
Training Epoch: 9 [16384/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [16640/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [16896/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [17152/48750]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [17408/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [17664/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [17920/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [18176/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [18432/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [18688/48750]	Loss: 0.0187	LR: 0.000800
Training Epoch: 9 [18944/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [19200/48750]	Loss: 0.0169	LR: 0.000800
Training Epoch: 9 [19456/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [19712/48750]	Loss: 0.0167	LR: 0.000800
Training Epoch: 9 [19968/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [20224/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [20480/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [20736/48750]	Loss: 0.0175	LR: 0.000800
Training Epoch: 9 [20992/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [21248/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [21504/48750]	Loss: 0.0260	LR: 0.000800
Training Epoch: 9 [21760/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [22016/48750]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [22272/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [22528/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [22784/48750]	Loss: 0.0158	LR: 0.000800
Training Epoch: 9 [23040/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [23296/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 9 [23552/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [23808/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [24064/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [24320/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [24576/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [24832/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [25088/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [25344/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [25600/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [25856/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [26112/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [26368/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [26624/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [26880/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [27136/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [27392/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [27648/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [27904/48750]	Loss: 0.0155	LR: 0.000800
Training Epoch: 9 [28160/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [28416/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [28672/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [28928/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [29184/48750]	Loss: 0.0150	LR: 0.000800
Training Epoch: 9 [29440/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [29696/48750]	Loss: 0.0183	LR: 0.000800
Training Epoch: 9 [29952/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [30208/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [30464/48750]	Loss: 0.0187	LR: 0.000800
Training Epoch: 9 [30720/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [30976/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [31232/48750]	Loss: 0.0344	LR: 0.000800
Training Epoch: 9 [31488/48750]	Loss: 0.0228	LR: 0.000800
Training Epoch: 9 [31744/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [32000/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [32256/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 9 [32512/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [32768/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [33024/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [33280/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [33536/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [33792/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [34048/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [34304/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [34560/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [34816/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [35072/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [35328/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [35584/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [35840/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [36096/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [36352/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [36608/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 9 [36864/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [37120/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [37376/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [37632/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [37888/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [38144/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [38400/48750]	Loss: 0.0161	LR: 0.000800
Training Epoch: 9 [38656/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [38912/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [39168/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [39424/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 9 [39680/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [39936/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [40192/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [40448/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [40704/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [40960/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [41216/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [41472/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [41728/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [41984/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [42240/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [42496/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [42752/48750]	Loss: 0.0235	LR: 0.000800
Training Epoch: 9 [43008/48750]	Loss: 0.0138	LR: 0.000800
Training Epoch: 9 [43264/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [43520/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [43776/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [44032/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [44288/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [44544/48750]	Loss: 0.0226	LR: 0.000800
Training Epoch: 9 [44800/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [45056/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [45312/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [45568/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [45824/48750]	Loss: 0.0175	LR: 0.000800
Training Epoch: 9 [46080/48750]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [46336/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [46592/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [46848/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [47104/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [47360/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [47616/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [47872/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [48128/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [48384/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [48640/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [48750/48750]	Loss: 0.0125	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0128, Train Accuracy: 0.9995
Epoch 9 training time consumed: 19.24s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0025, Accuracy: 0.8337, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_16m_22s/ResNet18-Cifar10-seed3-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [512/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [768/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [1024/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [1280/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [1536/48750]	Loss: 0.0067	LR: 0.000800
Training Epoch: 10 [1792/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [2048/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [2304/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [2560/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [2816/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [3072/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [3328/48750]	Loss: 0.0186	LR: 0.000800
Training Epoch: 10 [3584/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [3840/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [4096/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [4352/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [4608/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [4864/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [5120/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [5376/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [5632/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [5888/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [6144/48750]	Loss: 0.0163	LR: 0.000800
Training Epoch: 10 [6400/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [6656/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [6912/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [7168/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [7424/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [7680/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [7936/48750]	Loss: 0.0109	LR: 0.000800
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Training Epoch: 10 [8448/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [8704/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [8960/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [9216/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 10 [9472/48750]	Loss: 0.0334	LR: 0.000800
Training Epoch: 10 [9728/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [9984/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [10240/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [10496/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [10752/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [11008/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [11264/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [11520/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [11776/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [12032/48750]	Loss: 0.0065	LR: 0.000800
Training Epoch: 10 [12288/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [12544/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 10 [12800/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [13056/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [13312/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [13568/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [13824/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [14080/48750]	Loss: 0.0195	LR: 0.000800
Training Epoch: 10 [14336/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [14592/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [14848/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [15104/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 10 [15360/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [15616/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [15872/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [16128/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [16384/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [16640/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 10 [16896/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [17152/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [17408/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [17664/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [17920/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [18176/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [18432/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [18688/48750]	Loss: 0.0063	LR: 0.000800
Training Epoch: 10 [18944/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [19200/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [19456/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [19712/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [19968/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [20224/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [20480/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 10 [20736/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [20992/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [21248/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [21504/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [21760/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [22016/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [22272/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [22528/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [22784/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [23040/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [23296/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [23552/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [23808/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [24064/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [24320/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [24576/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [24832/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [25088/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [25344/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [25600/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [25856/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [26112/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [26368/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [26624/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [26880/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [27136/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [27392/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [27648/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [27904/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [28160/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [28416/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [28672/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [28928/48750]	Loss: 0.0180	LR: 0.000800
Training Epoch: 10 [29184/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [29440/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [29696/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [29952/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [30208/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 10 [30464/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [30720/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [30976/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [31232/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [31488/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 10 [31744/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [32000/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [32256/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [32512/48750]	Loss: 0.0177	LR: 0.000800
Training Epoch: 10 [32768/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [33024/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [33280/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 10 [33536/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [33792/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [34048/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [34304/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [34560/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [34816/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [35072/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 10 [35328/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [35584/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [35840/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [36096/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [36352/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [36608/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [36864/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [37120/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [37376/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [37632/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 10 [37888/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [38144/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 10 [38400/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [38656/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [38912/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [39168/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [39424/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [39680/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [39936/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [40192/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [40448/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [40704/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [40960/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [41216/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [41472/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [41728/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [41984/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [42240/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [42496/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [42752/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [43008/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [43264/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [43520/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [43776/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [44032/48750]	Loss: 0.0199	LR: 0.000800
Training Epoch: 10 [44288/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [44544/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [44800/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [45056/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [45312/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [45568/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [45824/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [46080/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [46336/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [46592/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [46848/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [47104/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [47360/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [47616/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 10 [47872/48750]	Loss: 0.0170	LR: 0.000800
Training Epoch: 10 [48128/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [48384/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [48640/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [48750/48750]	Loss: 0.0170	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0108, Train Accuracy: 0.9998
Epoch 10 training time consumed: 19.22s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0025, Accuracy: 0.8329, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_20h_16m_22s/ResNet18-Cifar10-seed3-ret75-10-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 83.2421875
Retain Accuracy: 99.98977661132812
Zero-Retain Forget (ZRF): 0.7688604593276978
Membership Inference Attack (MIA): 0.6488
Forget vs Retain Membership Inference Attack (MIA): 0.592
Forget vs Test Membership Inference Attack (MIA): 0.47
Test vs Retain Membership Inference Attack (MIA): 0.612
Train vs Test Membership Inference Attack (MIA): 0.62675
Forget Set Accuracy (Df): 84.82369995117188
Method Execution Time: 1144.31 seconds
