hello
hello
Labels

📌S Retain class distribution for seed 2:
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 2:
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: 2.4253	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4555	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3947	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3893	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3207	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2976	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2232	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2131	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.1733	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2768	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.3734	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2069	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1263	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 1.9965	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0630	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 1.9584	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.9098	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0060	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.0650	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.8479	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.8165	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.8225	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8598	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.9136	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.7960	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8288	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.8546	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.7966	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.7510	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.6442	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.7281	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.5614	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.6855	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.6313	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.6268	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.6725	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.6491	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.6556	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.6188	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.6014	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.5504	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.5039	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.7426	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.5439	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.5614	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.5380	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.6693	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.6686	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.5664	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7136	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.6299	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6151	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.5842	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.7714	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.6062	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7202	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.6627	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7967	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6274	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.4596	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.6083	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7784	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7019	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.3905	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6514	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6420	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.4689	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.7729	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.5044	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.3983	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.4291	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.5233	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.5975	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.5162	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6265	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.4021	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.5930	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6645	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6423	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.5656	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.5968	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.6722	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.4858	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.6395	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.5789	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.6862	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.5154	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6180	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5122	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.6864	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.3569	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.5531	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.5867	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.3660	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.3543	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.3704	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.4367	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.5135	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.3385	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.4673	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.4288	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.5561	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.3667	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.3492	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.3096	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.5287	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.2662	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.2976	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.4710	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.5158	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.4386	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.3085	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.3070	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.1648	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4172	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.4745	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.3829	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.3663	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.1739	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.3231	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.1604	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.4152	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.1753	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.4104	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.4555	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.2097	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.3909	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.3591	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.3399	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.2890	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.2560	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4476	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.3190	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.3219	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.3109	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.4089	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.3634	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.2498	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.3303	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.2413	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.5590	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.3249	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.3698	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.4614	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.4488	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.2334	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4853	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.3522	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.3987	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.3652	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.2931	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.3287	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.3536	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.3175	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.1831	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.3059	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.2184	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.2794	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.2674	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.2761	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.3320	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.2176	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.1364	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.2622	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.2154	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.1739	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.4330	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.1521	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.2036	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.1495	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.1990	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.0836	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.3090	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.0345	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.1066	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.2306	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.2168	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.1630	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.1892	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.2965	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.1487	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3633	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.2556	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.1470	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.1765	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3947	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.2185	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.1574	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.1471	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.2248	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.2328	LR: 0.099476
Epoch 1 - Average Train Loss: 1.5238, Train Accuracy: 0.4460
Epoch 1 training time consumed: 19.54s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0079, Accuracy: 0.4653, Time consumed:1.09s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_57m_15s/ResNet18-Cifar10-seed2-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.2788	LR: 0.020000
Training Epoch: 2 [512/48750]	Loss: 1.2595	LR: 0.020000
Training Epoch: 2 [768/48750]	Loss: 1.0121	LR: 0.020000
Training Epoch: 2 [1024/48750]	Loss: 1.0034	LR: 0.020000
Training Epoch: 2 [1280/48750]	Loss: 0.8369	LR: 0.020000
Training Epoch: 2 [1536/48750]	Loss: 1.0882	LR: 0.020000
Training Epoch: 2 [1792/48750]	Loss: 0.9948	LR: 0.020000
Training Epoch: 2 [2048/48750]	Loss: 1.1212	LR: 0.020000
Training Epoch: 2 [2304/48750]	Loss: 1.2129	LR: 0.020000
Training Epoch: 2 [2560/48750]	Loss: 1.0482	LR: 0.020000
Training Epoch: 2 [2816/48750]	Loss: 0.9328	LR: 0.020000
Training Epoch: 2 [3072/48750]	Loss: 0.8875	LR: 0.020000
Training Epoch: 2 [3328/48750]	Loss: 1.0737	LR: 0.020000
Training Epoch: 2 [3584/48750]	Loss: 0.9789	LR: 0.020000
Training Epoch: 2 [3840/48750]	Loss: 1.0147	LR: 0.020000
Training Epoch: 2 [4096/48750]	Loss: 0.9681	LR: 0.020000
Training Epoch: 2 [4352/48750]	Loss: 0.9615	LR: 0.020000
Training Epoch: 2 [4608/48750]	Loss: 0.9776	LR: 0.020000
Training Epoch: 2 [4864/48750]	Loss: 0.8880	LR: 0.020000
Training Epoch: 2 [5120/48750]	Loss: 0.8909	LR: 0.020000
Training Epoch: 2 [5376/48750]	Loss: 1.0050	LR: 0.020000
Training Epoch: 2 [5632/48750]	Loss: 0.8966	LR: 0.020000
Training Epoch: 2 [5888/48750]	Loss: 0.9477	LR: 0.020000
Training Epoch: 2 [6144/48750]	Loss: 0.8415	LR: 0.020000
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Training Epoch: 2 [6656/48750]	Loss: 0.8717	LR: 0.020000
Training Epoch: 2 [6912/48750]	Loss: 0.8442	LR: 0.020000
Training Epoch: 2 [7168/48750]	Loss: 0.8475	LR: 0.020000
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Training Epoch: 2 [7936/48750]	Loss: 0.8323	LR: 0.020000
Training Epoch: 2 [8192/48750]	Loss: 0.8262	LR: 0.020000
Training Epoch: 2 [8448/48750]	Loss: 0.8319	LR: 0.020000
Training Epoch: 2 [8704/48750]	Loss: 0.7121	LR: 0.020000
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Training Epoch: 2 [9216/48750]	Loss: 0.8883	LR: 0.020000
Training Epoch: 2 [9472/48750]	Loss: 0.7488	LR: 0.020000
Training Epoch: 2 [9728/48750]	Loss: 0.8337	LR: 0.020000
Training Epoch: 2 [9984/48750]	Loss: 0.8383	LR: 0.020000
Training Epoch: 2 [10240/48750]	Loss: 0.7311	LR: 0.020000
Training Epoch: 2 [10496/48750]	Loss: 0.7757	LR: 0.020000
Training Epoch: 2 [10752/48750]	Loss: 0.8852	LR: 0.020000
Training Epoch: 2 [11008/48750]	Loss: 0.9464	LR: 0.020000
Training Epoch: 2 [11264/48750]	Loss: 0.7864	LR: 0.020000
Training Epoch: 2 [11520/48750]	Loss: 0.8575	LR: 0.020000
Training Epoch: 2 [11776/48750]	Loss: 0.8902	LR: 0.020000
Training Epoch: 2 [12032/48750]	Loss: 0.7939	LR: 0.020000
Training Epoch: 2 [12288/48750]	Loss: 0.6978	LR: 0.020000
Training Epoch: 2 [12544/48750]	Loss: 0.9004	LR: 0.020000
Training Epoch: 2 [12800/48750]	Loss: 0.7416	LR: 0.020000
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Training Epoch: 2 [13312/48750]	Loss: 0.8535	LR: 0.020000
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Training Epoch: 2 [14080/48750]	Loss: 0.7359	LR: 0.020000
Training Epoch: 2 [14336/48750]	Loss: 0.7750	LR: 0.020000
Training Epoch: 2 [14592/48750]	Loss: 0.6926	LR: 0.020000
Training Epoch: 2 [14848/48750]	Loss: 0.8200	LR: 0.020000
Training Epoch: 2 [15104/48750]	Loss: 0.9277	LR: 0.020000
Training Epoch: 2 [15360/48750]	Loss: 0.7668	LR: 0.020000
Training Epoch: 2 [15616/48750]	Loss: 0.8179	LR: 0.020000
Training Epoch: 2 [15872/48750]	Loss: 0.6865	LR: 0.020000
Training Epoch: 2 [16128/48750]	Loss: 0.7042	LR: 0.020000
Training Epoch: 2 [16384/48750]	Loss: 0.7241	LR: 0.020000
Training Epoch: 2 [16640/48750]	Loss: 0.8066	LR: 0.020000
Training Epoch: 2 [16896/48750]	Loss: 0.8652	LR: 0.020000
Training Epoch: 2 [17152/48750]	Loss: 0.6866	LR: 0.020000
Training Epoch: 2 [17408/48750]	Loss: 0.7316	LR: 0.020000
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Training Epoch: 2 [18176/48750]	Loss: 0.7237	LR: 0.020000
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Training Epoch: 2 [19200/48750]	Loss: 0.7400	LR: 0.020000
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Training Epoch: 2 [20224/48750]	Loss: 0.7391	LR: 0.020000
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Training Epoch: 2 [47872/48750]	Loss: 0.6335	LR: 0.020000
Training Epoch: 2 [48128/48750]	Loss: 0.6501	LR: 0.020000
Training Epoch: 2 [48384/48750]	Loss: 0.6799	LR: 0.020000
Training Epoch: 2 [48640/48750]	Loss: 0.7967	LR: 0.020000
Training Epoch: 2 [48750/48750]	Loss: 0.7006	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7751, Train Accuracy: 0.7234
Epoch 2 training time consumed: 19.19s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0029, Accuracy: 0.7478, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_57m_15s/ResNet18-Cifar10-seed2-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.5935	LR: 0.020000
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Training Epoch: 3 [44544/48750]	Loss: 0.5238	LR: 0.020000
Training Epoch: 3 [44800/48750]	Loss: 0.4796	LR: 0.020000
Training Epoch: 3 [45056/48750]	Loss: 0.4431	LR: 0.020000
Training Epoch: 3 [45312/48750]	Loss: 0.6695	LR: 0.020000
Training Epoch: 3 [45568/48750]	Loss: 0.6002	LR: 0.020000
Training Epoch: 3 [45824/48750]	Loss: 0.5402	LR: 0.020000
Training Epoch: 3 [46080/48750]	Loss: 0.5548	LR: 0.020000
Training Epoch: 3 [46336/48750]	Loss: 0.5843	LR: 0.020000
Training Epoch: 3 [46592/48750]	Loss: 0.4877	LR: 0.020000
Training Epoch: 3 [46848/48750]	Loss: 0.5197	LR: 0.020000
Training Epoch: 3 [47104/48750]	Loss: 0.5343	LR: 0.020000
Training Epoch: 3 [47360/48750]	Loss: 0.6101	LR: 0.020000
Training Epoch: 3 [47616/48750]	Loss: 0.5146	LR: 0.020000
Training Epoch: 3 [47872/48750]	Loss: 0.6387	LR: 0.020000
Training Epoch: 3 [48128/48750]	Loss: 0.5736	LR: 0.020000
Training Epoch: 3 [48384/48750]	Loss: 0.6038	LR: 0.020000
Training Epoch: 3 [48640/48750]	Loss: 0.5392	LR: 0.020000
Training Epoch: 3 [48750/48750]	Loss: 0.5538	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5727, Train Accuracy: 0.7977
Epoch 3 training time consumed: 18.95s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0029, Accuracy: 0.7551, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_57m_15s/ResNet18-Cifar10-seed2-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.4999	LR: 0.020000
Training Epoch: 4 [512/48750]	Loss: 0.3772	LR: 0.020000
Training Epoch: 4 [768/48750]	Loss: 0.4169	LR: 0.020000
Training Epoch: 4 [1024/48750]	Loss: 0.3945	LR: 0.020000
Training Epoch: 4 [1280/48750]	Loss: 0.5065	LR: 0.020000
Training Epoch: 4 [1536/48750]	Loss: 0.4076	LR: 0.020000
Training Epoch: 4 [1792/48750]	Loss: 0.4589	LR: 0.020000
Training Epoch: 4 [2048/48750]	Loss: 0.4353	LR: 0.020000
Training Epoch: 4 [2304/48750]	Loss: 0.3079	LR: 0.020000
Training Epoch: 4 [2560/48750]	Loss: 0.3936	LR: 0.020000
Training Epoch: 4 [2816/48750]	Loss: 0.4058	LR: 0.020000
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Training Epoch: 4 [44800/48750]	Loss: 0.5086	LR: 0.020000
Training Epoch: 4 [45056/48750]	Loss: 0.4023	LR: 0.020000
Training Epoch: 4 [45312/48750]	Loss: 0.5473	LR: 0.020000
Training Epoch: 4 [45568/48750]	Loss: 0.4088	LR: 0.020000
Training Epoch: 4 [45824/48750]	Loss: 0.4594	LR: 0.020000
Training Epoch: 4 [46080/48750]	Loss: 0.5294	LR: 0.020000
Training Epoch: 4 [46336/48750]	Loss: 0.4091	LR: 0.020000
Training Epoch: 4 [46592/48750]	Loss: 0.4847	LR: 0.020000
Training Epoch: 4 [46848/48750]	Loss: 0.4909	LR: 0.020000
Training Epoch: 4 [47104/48750]	Loss: 0.4683	LR: 0.020000
Training Epoch: 4 [47360/48750]	Loss: 0.3783	LR: 0.020000
Training Epoch: 4 [47616/48750]	Loss: 0.5190	LR: 0.020000
Training Epoch: 4 [47872/48750]	Loss: 0.4689	LR: 0.020000
Training Epoch: 4 [48128/48750]	Loss: 0.4659	LR: 0.020000
Training Epoch: 4 [48384/48750]	Loss: 0.4158	LR: 0.020000
Training Epoch: 4 [48640/48750]	Loss: 0.6222	LR: 0.020000
Training Epoch: 4 [48750/48750]	Loss: 0.4146	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4358, Train Accuracy: 0.8478
Epoch 4 training time consumed: 18.95s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0026, Accuracy: 0.7815, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_57m_15s/ResNet18-Cifar10-seed2-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.3385	LR: 0.004000
Training Epoch: 5 [512/48750]	Loss: 0.3160	LR: 0.004000
Training Epoch: 5 [768/48750]	Loss: 0.3624	LR: 0.004000
Training Epoch: 5 [1024/48750]	Loss: 0.3315	LR: 0.004000
Training Epoch: 5 [1280/48750]	Loss: 0.4202	LR: 0.004000
Training Epoch: 5 [1536/48750]	Loss: 0.2268	LR: 0.004000
Training Epoch: 5 [1792/48750]	Loss: 0.3331	LR: 0.004000
Training Epoch: 5 [2048/48750]	Loss: 0.2803	LR: 0.004000
Training Epoch: 5 [2304/48750]	Loss: 0.2136	LR: 0.004000
Training Epoch: 5 [2560/48750]	Loss: 0.3042	LR: 0.004000
Training Epoch: 5 [2816/48750]	Loss: 0.2849	LR: 0.004000
Training Epoch: 5 [3072/48750]	Loss: 0.2185	LR: 0.004000
Training Epoch: 5 [3328/48750]	Loss: 0.2862	LR: 0.004000
Training Epoch: 5 [3584/48750]	Loss: 0.2409	LR: 0.004000
Training Epoch: 5 [3840/48750]	Loss: 0.3466	LR: 0.004000
Training Epoch: 5 [4096/48750]	Loss: 0.2942	LR: 0.004000
Training Epoch: 5 [4352/48750]	Loss: 0.2906	LR: 0.004000
Training Epoch: 5 [4608/48750]	Loss: 0.2842	LR: 0.004000
Training Epoch: 5 [4864/48750]	Loss: 0.2827	LR: 0.004000
Training Epoch: 5 [5120/48750]	Loss: 0.2777	LR: 0.004000
Training Epoch: 5 [5376/48750]	Loss: 0.2542	LR: 0.004000
Training Epoch: 5 [5632/48750]	Loss: 0.2504	LR: 0.004000
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Training Epoch: 5 [6144/48750]	Loss: 0.2530	LR: 0.004000
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Training Epoch: 5 [8448/48750]	Loss: 0.2431	LR: 0.004000
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Training Epoch: 5 [10496/48750]	Loss: 0.1651	LR: 0.004000
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Training Epoch: 5 [12032/48750]	Loss: 0.2445	LR: 0.004000
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Training Epoch: 5 [12544/48750]	Loss: 0.2020	LR: 0.004000
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Training Epoch: 5 [16128/48750]	Loss: 0.1663	LR: 0.004000
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Training Epoch: 5 [18688/48750]	Loss: 0.1890	LR: 0.004000
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Training Epoch: 5 [46592/48750]	Loss: 0.1457	LR: 0.004000
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Training Epoch: 5 [47616/48750]	Loss: 0.2188	LR: 0.004000
Training Epoch: 5 [47872/48750]	Loss: 0.1574	LR: 0.004000
Training Epoch: 5 [48128/48750]	Loss: 0.1850	LR: 0.004000
Training Epoch: 5 [48384/48750]	Loss: 0.1961	LR: 0.004000
Training Epoch: 5 [48640/48750]	Loss: 0.1566	LR: 0.004000
Training Epoch: 5 [48750/48750]	Loss: 0.1493	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2024, Train Accuracy: 0.9362
Epoch 5 training time consumed: 19.23s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8235, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_57m_15s/ResNet18-Cifar10-seed2-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.1154	LR: 0.004000
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Training Epoch: 6 [29440/48750]	Loss: 0.0793	LR: 0.004000
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Training Epoch: 6 [37632/48750]	Loss: 0.1296	LR: 0.004000
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Training Epoch: 6 [41216/48750]	Loss: 0.0959	LR: 0.004000
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Training Epoch: 6 [43008/48750]	Loss: 0.0992	LR: 0.004000
Training Epoch: 6 [43264/48750]	Loss: 0.1298	LR: 0.004000
Training Epoch: 6 [43520/48750]	Loss: 0.0728	LR: 0.004000
Training Epoch: 6 [43776/48750]	Loss: 0.1537	LR: 0.004000
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Training Epoch: 6 [44544/48750]	Loss: 0.0727	LR: 0.004000
Training Epoch: 6 [44800/48750]	Loss: 0.1154	LR: 0.004000
Training Epoch: 6 [45056/48750]	Loss: 0.1595	LR: 0.004000
Training Epoch: 6 [45312/48750]	Loss: 0.0680	LR: 0.004000
Training Epoch: 6 [45568/48750]	Loss: 0.1286	LR: 0.004000
Training Epoch: 6 [45824/48750]	Loss: 0.1098	LR: 0.004000
Training Epoch: 6 [46080/48750]	Loss: 0.1132	LR: 0.004000
Training Epoch: 6 [46336/48750]	Loss: 0.1079	LR: 0.004000
Training Epoch: 6 [46592/48750]	Loss: 0.0912	LR: 0.004000
Training Epoch: 6 [46848/48750]	Loss: 0.0970	LR: 0.004000
Training Epoch: 6 [47104/48750]	Loss: 0.1430	LR: 0.004000
Training Epoch: 6 [47360/48750]	Loss: 0.0805	LR: 0.004000
Training Epoch: 6 [47616/48750]	Loss: 0.0706	LR: 0.004000
Training Epoch: 6 [47872/48750]	Loss: 0.1407	LR: 0.004000
Training Epoch: 6 [48128/48750]	Loss: 0.1398	LR: 0.004000
Training Epoch: 6 [48384/48750]	Loss: 0.0904	LR: 0.004000
Training Epoch: 6 [48640/48750]	Loss: 0.1016	LR: 0.004000
Training Epoch: 6 [48750/48750]	Loss: 0.0952	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1076, Train Accuracy: 0.9716
Epoch 6 training time consumed: 19.33s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0023, Accuracy: 0.8179, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_57m_15s/ResNet18-Cifar10-seed2-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.0471	LR: 0.004000
Training Epoch: 7 [512/48750]	Loss: 0.0658	LR: 0.004000
Training Epoch: 7 [768/48750]	Loss: 0.0785	LR: 0.004000
Training Epoch: 7 [1024/48750]	Loss: 0.0618	LR: 0.004000
Training Epoch: 7 [1280/48750]	Loss: 0.0605	LR: 0.004000
Training Epoch: 7 [1536/48750]	Loss: 0.0704	LR: 0.004000
Training Epoch: 7 [1792/48750]	Loss: 0.0513	LR: 0.004000
Training Epoch: 7 [2048/48750]	Loss: 0.0698	LR: 0.004000
Training Epoch: 7 [2304/48750]	Loss: 0.0462	LR: 0.004000
Training Epoch: 7 [2560/48750]	Loss: 0.0595	LR: 0.004000
Training Epoch: 7 [2816/48750]	Loss: 0.0726	LR: 0.004000
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Training Epoch: 7 [12032/48750]	Loss: 0.0479	LR: 0.004000
Training Epoch: 7 [12288/48750]	Loss: 0.0495	LR: 0.004000
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Training Epoch: 7 [16128/48750]	Loss: 0.0506	LR: 0.004000
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Training Epoch: 7 [16640/48750]	Loss: 0.0484	LR: 0.004000
Training Epoch: 7 [16896/48750]	Loss: 0.0570	LR: 0.004000
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Training Epoch: 7 [40192/48750]	Loss: 0.0630	LR: 0.004000
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Training Epoch: 7 [44288/48750]	Loss: 0.0430	LR: 0.004000
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Training Epoch: 7 [44800/48750]	Loss: 0.0425	LR: 0.004000
Training Epoch: 7 [45056/48750]	Loss: 0.0405	LR: 0.004000
Training Epoch: 7 [45312/48750]	Loss: 0.0484	LR: 0.004000
Training Epoch: 7 [45568/48750]	Loss: 0.0434	LR: 0.004000
Training Epoch: 7 [45824/48750]	Loss: 0.0350	LR: 0.004000
Training Epoch: 7 [46080/48750]	Loss: 0.0480	LR: 0.004000
Training Epoch: 7 [46336/48750]	Loss: 0.0416	LR: 0.004000
Training Epoch: 7 [46592/48750]	Loss: 0.0532	LR: 0.004000
Training Epoch: 7 [46848/48750]	Loss: 0.0399	LR: 0.004000
Training Epoch: 7 [47104/48750]	Loss: 0.0638	LR: 0.004000
Training Epoch: 7 [47360/48750]	Loss: 0.0278	LR: 0.004000
Training Epoch: 7 [47616/48750]	Loss: 0.0430	LR: 0.004000
Training Epoch: 7 [47872/48750]	Loss: 0.0453	LR: 0.004000
Training Epoch: 7 [48128/48750]	Loss: 0.0415	LR: 0.004000
Training Epoch: 7 [48384/48750]	Loss: 0.0532	LR: 0.004000
Training Epoch: 7 [48640/48750]	Loss: 0.0436	LR: 0.004000
Training Epoch: 7 [48750/48750]	Loss: 0.0490	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0516, Train Accuracy: 0.9905
Epoch 7 training time consumed: 18.93s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8197, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_57m_15s/ResNet18-Cifar10-seed2-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0314	LR: 0.004000
Training Epoch: 8 [512/48750]	Loss: 0.0269	LR: 0.004000
Training Epoch: 8 [768/48750]	Loss: 0.0361	LR: 0.004000
Training Epoch: 8 [1024/48750]	Loss: 0.0247	LR: 0.004000
Training Epoch: 8 [1280/48750]	Loss: 0.0341	LR: 0.004000
Training Epoch: 8 [1536/48750]	Loss: 0.0438	LR: 0.004000
Training Epoch: 8 [1792/48750]	Loss: 0.0198	LR: 0.004000
Training Epoch: 8 [2048/48750]	Loss: 0.0198	LR: 0.004000
Training Epoch: 8 [2304/48750]	Loss: 0.0171	LR: 0.004000
Training Epoch: 8 [2560/48750]	Loss: 0.0149	LR: 0.004000
Training Epoch: 8 [2816/48750]	Loss: 0.0262	LR: 0.004000
Training Epoch: 8 [3072/48750]	Loss: 0.0274	LR: 0.004000
Training Epoch: 8 [3328/48750]	Loss: 0.0285	LR: 0.004000
Training Epoch: 8 [3584/48750]	Loss: 0.0171	LR: 0.004000
Training Epoch: 8 [3840/48750]	Loss: 0.0205	LR: 0.004000
Training Epoch: 8 [4096/48750]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [4352/48750]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [4608/48750]	Loss: 0.0231	LR: 0.004000
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Training Epoch: 8 [10496/48750]	Loss: 0.0187	LR: 0.004000
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Training Epoch: 8 [15616/48750]	Loss: 0.0235	LR: 0.004000
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Training Epoch: 8 [16128/48750]	Loss: 0.0237	LR: 0.004000
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Training Epoch: 8 [17152/48750]	Loss: 0.0289	LR: 0.004000
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Training Epoch: 8 [19712/48750]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [19968/48750]	Loss: 0.0181	LR: 0.004000
Training Epoch: 8 [20224/48750]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [20480/48750]	Loss: 0.0120	LR: 0.004000
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Training Epoch: 8 [22016/48750]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [22272/48750]	Loss: 0.0218	LR: 0.004000
Training Epoch: 8 [22528/48750]	Loss: 0.0209	LR: 0.004000
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Training Epoch: 8 [23040/48750]	Loss: 0.0218	LR: 0.004000
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Training Epoch: 8 [24832/48750]	Loss: 0.0321	LR: 0.004000
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Training Epoch: 8 [25856/48750]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [26112/48750]	Loss: 0.0220	LR: 0.004000
Training Epoch: 8 [26368/48750]	Loss: 0.0269	LR: 0.004000
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Training Epoch: 8 [28160/48750]	Loss: 0.0296	LR: 0.004000
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Training Epoch: 8 [28928/48750]	Loss: 0.0184	LR: 0.004000
Training Epoch: 8 [29184/48750]	Loss: 0.0194	LR: 0.004000
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Training Epoch: 8 [30720/48750]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [30976/48750]	Loss: 0.0256	LR: 0.004000
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Training Epoch: 8 [31488/48750]	Loss: 0.0164	LR: 0.004000
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Training Epoch: 8 [32256/48750]	Loss: 0.0246	LR: 0.004000
Training Epoch: 8 [32512/48750]	Loss: 0.0170	LR: 0.004000
Training Epoch: 8 [32768/48750]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [33024/48750]	Loss: 0.0159	LR: 0.004000
Training Epoch: 8 [33280/48750]	Loss: 0.0223	LR: 0.004000
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Training Epoch: 8 [35072/48750]	Loss: 0.0195	LR: 0.004000
Training Epoch: 8 [35328/48750]	Loss: 0.0216	LR: 0.004000
Training Epoch: 8 [35584/48750]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [35840/48750]	Loss: 0.0183	LR: 0.004000
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Training Epoch: 8 [36352/48750]	Loss: 0.0162	LR: 0.004000
Training Epoch: 8 [36608/48750]	Loss: 0.0205	LR: 0.004000
Training Epoch: 8 [36864/48750]	Loss: 0.0156	LR: 0.004000
Training Epoch: 8 [37120/48750]	Loss: 0.0275	LR: 0.004000
Training Epoch: 8 [37376/48750]	Loss: 0.0196	LR: 0.004000
Training Epoch: 8 [37632/48750]	Loss: 0.0209	LR: 0.004000
Training Epoch: 8 [37888/48750]	Loss: 0.0312	LR: 0.004000
Training Epoch: 8 [38144/48750]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [38400/48750]	Loss: 0.0275	LR: 0.004000
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Training Epoch: 8 [38912/48750]	Loss: 0.0146	LR: 0.004000
Training Epoch: 8 [39168/48750]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [39424/48750]	Loss: 0.0265	LR: 0.004000
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Training Epoch: 8 [39936/48750]	Loss: 0.0269	LR: 0.004000
Training Epoch: 8 [40192/48750]	Loss: 0.0326	LR: 0.004000
Training Epoch: 8 [40448/48750]	Loss: 0.0272	LR: 0.004000
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Training Epoch: 8 [41216/48750]	Loss: 0.0195	LR: 0.004000
Training Epoch: 8 [41472/48750]	Loss: 0.0253	LR: 0.004000
Training Epoch: 8 [41728/48750]	Loss: 0.0181	LR: 0.004000
Training Epoch: 8 [41984/48750]	Loss: 0.0204	LR: 0.004000
Training Epoch: 8 [42240/48750]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [42496/48750]	Loss: 0.0223	LR: 0.004000
Training Epoch: 8 [42752/48750]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [43008/48750]	Loss: 0.0241	LR: 0.004000
Training Epoch: 8 [43264/48750]	Loss: 0.0179	LR: 0.004000
Training Epoch: 8 [43520/48750]	Loss: 0.0260	LR: 0.004000
Training Epoch: 8 [43776/48750]	Loss: 0.0175	LR: 0.004000
Training Epoch: 8 [44032/48750]	Loss: 0.0179	LR: 0.004000
Training Epoch: 8 [44288/48750]	Loss: 0.0266	LR: 0.004000
Training Epoch: 8 [44544/48750]	Loss: 0.0159	LR: 0.004000
Training Epoch: 8 [44800/48750]	Loss: 0.0266	LR: 0.004000
Training Epoch: 8 [45056/48750]	Loss: 0.0175	LR: 0.004000
Training Epoch: 8 [45312/48750]	Loss: 0.0181	LR: 0.004000
Training Epoch: 8 [45568/48750]	Loss: 0.0266	LR: 0.004000
Training Epoch: 8 [45824/48750]	Loss: 0.0218	LR: 0.004000
Training Epoch: 8 [46080/48750]	Loss: 0.0265	LR: 0.004000
Training Epoch: 8 [46336/48750]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [46592/48750]	Loss: 0.0286	LR: 0.004000
Training Epoch: 8 [46848/48750]	Loss: 0.0192	LR: 0.004000
Training Epoch: 8 [47104/48750]	Loss: 0.0252	LR: 0.004000
Training Epoch: 8 [47360/48750]	Loss: 0.0141	LR: 0.004000
Training Epoch: 8 [47616/48750]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [47872/48750]	Loss: 0.0294	LR: 0.004000
Training Epoch: 8 [48128/48750]	Loss: 0.0209	LR: 0.004000
Training Epoch: 8 [48384/48750]	Loss: 0.0196	LR: 0.004000
Training Epoch: 8 [48640/48750]	Loss: 0.0183	LR: 0.004000
Training Epoch: 8 [48750/48750]	Loss: 0.0115	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0225, Train Accuracy: 0.9980
Epoch 8 training time consumed: 19.22s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0026, Accuracy: 0.8245, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_57m_15s/ResNet18-Cifar10-seed2-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [512/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 9 [768/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [1024/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [1280/48750]	Loss: 0.0170	LR: 0.000800
Training Epoch: 9 [1536/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [1792/48750]	Loss: 0.0169	LR: 0.000800
Training Epoch: 9 [2048/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [2304/48750]	Loss: 0.0188	LR: 0.000800
Training Epoch: 9 [2560/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 9 [2816/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [3072/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 9 [3328/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [3584/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [3840/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 9 [4096/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [4352/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [4608/48750]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [4864/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [5120/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [5376/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [5632/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [5888/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [6144/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [6400/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [6656/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [6912/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [7168/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [7424/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [7680/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [7936/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [8192/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [8448/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [8704/48750]	Loss: 0.0155	LR: 0.000800
Training Epoch: 9 [8960/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [9216/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [9472/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [9728/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [9984/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [10240/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [10496/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [10752/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [11008/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [11264/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [11520/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [11776/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [12032/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [12288/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [12544/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [12800/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 9 [13056/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [13312/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [13568/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [13824/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [14080/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [14336/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [14592/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 9 [14848/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 9 [15104/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [15360/48750]	Loss: 0.0239	LR: 0.000800
Training Epoch: 9 [15616/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [15872/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [16128/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [16384/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [16640/48750]	Loss: 0.0071	LR: 0.000800
Training Epoch: 9 [16896/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 9 [17152/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [17408/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [17664/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [17920/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [18176/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [18432/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 9 [18688/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [18944/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [19200/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [19456/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [19712/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [19968/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [20224/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [20480/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [20736/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [20992/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [21248/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [21504/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [21760/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [22016/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [22272/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [22528/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [22784/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [23040/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [23296/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [23552/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [23808/48750]	Loss: 0.0170	LR: 0.000800
Training Epoch: 9 [24064/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [24320/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [24576/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [24832/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [25088/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [25344/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [25600/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [25856/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [26112/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [26368/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [26624/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [26880/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [27136/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [27392/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [27648/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [27904/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [28160/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [28416/48750]	Loss: 0.0065	LR: 0.000800
Training Epoch: 9 [28672/48750]	Loss: 0.0164	LR: 0.000800
Training Epoch: 9 [28928/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 9 [29184/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [29440/48750]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [29696/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 9 [29952/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [30208/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [30464/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [30720/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 9 [30976/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 9 [31232/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 9 [31488/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [31744/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [32000/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [32256/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [32512/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [32768/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [33024/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 9 [33280/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [33536/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [33792/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [34048/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [34304/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [34560/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [34816/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [35072/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [35328/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [35584/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [35840/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [36096/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [36352/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [36608/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [36864/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [37120/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [37376/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [37632/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [37888/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [38144/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [38400/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [38656/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [38912/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [39168/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [39424/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [39680/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [39936/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 9 [40192/48750]	Loss: 0.0318	LR: 0.000800
Training Epoch: 9 [40448/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [40704/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [40960/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [41216/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [41472/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [41728/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [41984/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [42240/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [42496/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 9 [42752/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 9 [43008/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [43264/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [43520/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [43776/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [44032/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [44288/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [44544/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [44800/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [45056/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [45312/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [45568/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [45824/48750]	Loss: 0.0160	LR: 0.000800
Training Epoch: 9 [46080/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [46336/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [46592/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [46848/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [47104/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [47360/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 9 [47616/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [47872/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [48128/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [48384/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [48640/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [48750/48750]	Loss: 0.0259	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0111, Train Accuracy: 0.9998
Epoch 9 training time consumed: 19.29s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8272, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_57m_15s/ResNet18-Cifar10-seed2-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [512/48750]	Loss: 0.0155	LR: 0.000800
Training Epoch: 10 [768/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [1024/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [1280/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [1536/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [1792/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [2048/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [2304/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [2560/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [2816/48750]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [3072/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [3328/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [3584/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [3840/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [4096/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [4352/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [4608/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [4864/48750]	Loss: 0.0063	LR: 0.000800
Training Epoch: 10 [5120/48750]	Loss: 0.0065	LR: 0.000800
Training Epoch: 10 [5376/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [5632/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [5888/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [6144/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [6400/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [6656/48750]	Loss: 0.0063	LR: 0.000800
Training Epoch: 10 [6912/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [7168/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [7424/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [7680/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [7936/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [8192/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [8448/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [8704/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [8960/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [9216/48750]	Loss: 0.0061	LR: 0.000800
Training Epoch: 10 [9472/48750]	Loss: 0.0265	LR: 0.000800
Training Epoch: 10 [9728/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [9984/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [10240/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [10496/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 10 [10752/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [11008/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [11264/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [11520/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [11776/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [12032/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [12288/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [12544/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [12800/48750]	Loss: 0.0071	LR: 0.000800
Training Epoch: 10 [13056/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [13312/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [13568/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [13824/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [14080/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [14336/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [14592/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [14848/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [15104/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [15360/48750]	Loss: 0.0152	LR: 0.000800
Training Epoch: 10 [15616/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [15872/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [16128/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [16384/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [16640/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [16896/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [17152/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [17408/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [17664/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [17920/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [18176/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [18432/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 10 [18688/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [18944/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [19200/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [19456/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [19712/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [19968/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 10 [20224/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [20480/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [20736/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [20992/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [21248/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [21504/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [21760/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 10 [22016/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [22272/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [22528/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [22784/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [23040/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [23296/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [23552/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [23808/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [24064/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [24320/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [24576/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [24832/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [25088/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [25344/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [25600/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [25856/48750]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [26112/48750]	Loss: 0.0065	LR: 0.000800
Training Epoch: 10 [26368/48750]	Loss: 0.0149	LR: 0.000800
Training Epoch: 10 [26624/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [26880/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [27136/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [27392/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [27648/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [27904/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [28160/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [28416/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [28672/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [28928/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [29184/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [29440/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [29696/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [29952/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [30208/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [30464/48750]	Loss: 0.0171	LR: 0.000800
Training Epoch: 10 [30720/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [30976/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [31232/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [31488/48750]	Loss: 0.0063	LR: 0.000800
Training Epoch: 10 [31744/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [32000/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [32256/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [32512/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [32768/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [33024/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [33280/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [33536/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 10 [33792/48750]	Loss: 0.0056	LR: 0.000800
Training Epoch: 10 [34048/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [34304/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [34560/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [34816/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [35072/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [35328/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [35584/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [35840/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 10 [36096/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [36352/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [36608/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [36864/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [37120/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [37376/48750]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [37632/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [37888/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [38144/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [38400/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [38656/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [38912/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [39168/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [39424/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [39680/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [39936/48750]	Loss: 0.0067	LR: 0.000800
Training Epoch: 10 [40192/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [40448/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [40704/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [40960/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [41216/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [41472/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [41728/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [41984/48750]	Loss: 0.0067	LR: 0.000800
Training Epoch: 10 [42240/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [42496/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [42752/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [43008/48750]	Loss: 0.0068	LR: 0.000800
Training Epoch: 10 [43264/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [43520/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [43776/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [44032/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [44288/48750]	Loss: 0.0065	LR: 0.000800
Training Epoch: 10 [44544/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [44800/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [45056/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [45312/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [45568/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [45824/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [46080/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [46336/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [46592/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [46848/48750]	Loss: 0.0066	LR: 0.000800
Training Epoch: 10 [47104/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 10 [47360/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [47616/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [47872/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [48128/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [48384/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [48640/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [48750/48750]	Loss: 0.0168	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0093, Train Accuracy: 0.9999
Epoch 10 training time consumed: 19.45s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0026, Accuracy: 0.8272, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_19h_57m_15s/ResNet18-Cifar10-seed2-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: 82.83203125
Retain Accuracy: 99.99795532226562
Zero-Retain Forget (ZRF): 0.7800904512405396
Membership Inference Attack (MIA): 0.6168
Forget vs Retain Membership Inference Attack (MIA): 0.58
Forget vs Test Membership Inference Attack (MIA): 0.48
Test vs Retain Membership Inference Attack (MIA): 0.611
Train vs Test Membership Inference Attack (MIA): 0.63025
Forget Set Accuracy (Df): 82.8602066040039
Method Execution Time: 1128.51 seconds
