hello
hello
Labels

📌S Retain class distribution for seed 8:
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 8:
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: 2.4417	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4215	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.4293	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3660	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3315	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2556	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2452	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2003	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2379	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2636	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.1520	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1226	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.0976	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 1.9961	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 1.9648	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0377	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.9860	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0569	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.8627	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9485	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.8426	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.8922	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.7950	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.8003	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9661	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.7347	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.8269	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.7785	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.7654	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8800	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8598	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.6384	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.7646	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.7447	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8433	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.6671	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8511	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.5992	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.5188	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.6540	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.6414	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.6493	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.6346	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7177	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.6663	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.6027	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.5149	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.5176	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.4535	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.4760	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.7603	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.5752	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.5893	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.4871	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.5861	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.5437	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.5644	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6025	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6135	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.5113	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.5392	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.6630	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.8139	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.5532	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.4765	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6225	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.5536	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.4356	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.5668	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.4686	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6501	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.5388	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.6715	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.6037	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.5693	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.5878	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.4767	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.4319	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.4146	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6842	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.4834	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.3869	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.4409	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.6510	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.5449	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.3859	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.4744	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.4182	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.3880	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.4932	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.4134	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.7663	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.5058	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.4228	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.4837	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.4583	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5326	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.4548	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.4263	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.2836	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.3962	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.2666	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.2765	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.3716	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.3657	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.4448	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.6259	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.2663	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.4639	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.6043	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.4006	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.3256	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.4068	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.3352	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.3745	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.3454	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.2661	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.2694	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.2780	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.3935	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.2286	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.4271	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.2576	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.3586	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.1807	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.4193	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.3024	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.3201	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.2842	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.2271	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.3309	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.1696	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.2667	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.1791	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.2779	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.3280	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.2693	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4061	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.3370	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.4969	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.3168	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.3992	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.5782	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.3978	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.3034	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.4112	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.3350	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.2940	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.5076	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.5493	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.3277	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.2997	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.3646	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.2274	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.3754	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.3918	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.4476	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.2517	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.2352	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.1828	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.2599	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4629	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.3937	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.2108	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.3149	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.3667	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.0945	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.1997	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.1692	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3540	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.2566	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.2563	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.2924	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3597	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.1398	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.1444	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.3277	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.1851	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.2576	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.1328	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.1944	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.2828	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.2845	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3507	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.3161	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.2813	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.7707	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.1403	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.2380	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.2202	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.1566	LR: 0.099476
Epoch 1 - Average Train Loss: 1.5270, Train Accuracy: 0.4469
Epoch 1 training time consumed: 19.70s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0061, Accuracy: 0.5259, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_52m_34s/ResNet18-Cifar10-seed8-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.2646	LR: 0.020000
Training Epoch: 2 [512/48750]	Loss: 1.1229	LR: 0.020000
Training Epoch: 2 [768/48750]	Loss: 1.0484	LR: 0.020000
Training Epoch: 2 [1024/48750]	Loss: 1.0609	LR: 0.020000
Training Epoch: 2 [1280/48750]	Loss: 1.1005	LR: 0.020000
Training Epoch: 2 [1536/48750]	Loss: 0.9012	LR: 0.020000
Training Epoch: 2 [1792/48750]	Loss: 0.9731	LR: 0.020000
Training Epoch: 2 [2048/48750]	Loss: 0.9971	LR: 0.020000
Training Epoch: 2 [2304/48750]	Loss: 1.2881	LR: 0.020000
Training Epoch: 2 [2560/48750]	Loss: 0.8714	LR: 0.020000
Training Epoch: 2 [2816/48750]	Loss: 0.9349	LR: 0.020000
Training Epoch: 2 [3072/48750]	Loss: 0.9177	LR: 0.020000
Training Epoch: 2 [3328/48750]	Loss: 0.9872	LR: 0.020000
Training Epoch: 2 [3584/48750]	Loss: 0.9317	LR: 0.020000
Training Epoch: 2 [3840/48750]	Loss: 0.9855	LR: 0.020000
Training Epoch: 2 [4096/48750]	Loss: 0.9800	LR: 0.020000
Training Epoch: 2 [4352/48750]	Loss: 0.9681	LR: 0.020000
Training Epoch: 2 [4608/48750]	Loss: 0.9292	LR: 0.020000
Training Epoch: 2 [4864/48750]	Loss: 1.0496	LR: 0.020000
Training Epoch: 2 [5120/48750]	Loss: 0.9985	LR: 0.020000
Training Epoch: 2 [5376/48750]	Loss: 0.8115	LR: 0.020000
Training Epoch: 2 [5632/48750]	Loss: 0.8574	LR: 0.020000
Training Epoch: 2 [5888/48750]	Loss: 0.9489	LR: 0.020000
Training Epoch: 2 [6144/48750]	Loss: 0.9697	LR: 0.020000
Training Epoch: 2 [6400/48750]	Loss: 0.8081	LR: 0.020000
Training Epoch: 2 [6656/48750]	Loss: 0.8343	LR: 0.020000
Training Epoch: 2 [6912/48750]	Loss: 0.8910	LR: 0.020000
Training Epoch: 2 [7168/48750]	Loss: 0.9364	LR: 0.020000
Training Epoch: 2 [7424/48750]	Loss: 0.9481	LR: 0.020000
Training Epoch: 2 [7680/48750]	Loss: 0.9003	LR: 0.020000
Training Epoch: 2 [7936/48750]	Loss: 0.7904	LR: 0.020000
Training Epoch: 2 [8192/48750]	Loss: 0.7750	LR: 0.020000
Training Epoch: 2 [8448/48750]	Loss: 0.9228	LR: 0.020000
Training Epoch: 2 [8704/48750]	Loss: 1.0024	LR: 0.020000
Training Epoch: 2 [8960/48750]	Loss: 0.7447	LR: 0.020000
Training Epoch: 2 [9216/48750]	Loss: 0.7500	LR: 0.020000
Training Epoch: 2 [9472/48750]	Loss: 0.8870	LR: 0.020000
Training Epoch: 2 [9728/48750]	Loss: 0.7508	LR: 0.020000
Training Epoch: 2 [9984/48750]	Loss: 0.7867	LR: 0.020000
Training Epoch: 2 [10240/48750]	Loss: 0.9011	LR: 0.020000
Training Epoch: 2 [10496/48750]	Loss: 0.9204	LR: 0.020000
Training Epoch: 2 [10752/48750]	Loss: 0.8797	LR: 0.020000
Training Epoch: 2 [11008/48750]	Loss: 0.9278	LR: 0.020000
Training Epoch: 2 [11264/48750]	Loss: 0.8689	LR: 0.020000
Training Epoch: 2 [11520/48750]	Loss: 0.8408	LR: 0.020000
Training Epoch: 2 [11776/48750]	Loss: 0.6842	LR: 0.020000
Training Epoch: 2 [12032/48750]	Loss: 0.7489	LR: 0.020000
Training Epoch: 2 [12288/48750]	Loss: 0.8037	LR: 0.020000
Training Epoch: 2 [12544/48750]	Loss: 0.8723	LR: 0.020000
Training Epoch: 2 [12800/48750]	Loss: 0.7399	LR: 0.020000
Training Epoch: 2 [13056/48750]	Loss: 0.9242	LR: 0.020000
Training Epoch: 2 [13312/48750]	Loss: 0.7587	LR: 0.020000
Training Epoch: 2 [13568/48750]	Loss: 0.7802	LR: 0.020000
Training Epoch: 2 [13824/48750]	Loss: 0.7777	LR: 0.020000
Training Epoch: 2 [14080/48750]	Loss: 0.8577	LR: 0.020000
Training Epoch: 2 [14336/48750]	Loss: 0.7941	LR: 0.020000
Training Epoch: 2 [14592/48750]	Loss: 0.7615	LR: 0.020000
Training Epoch: 2 [14848/48750]	Loss: 0.7075	LR: 0.020000
Training Epoch: 2 [15104/48750]	Loss: 0.7353	LR: 0.020000
Training Epoch: 2 [15360/48750]	Loss: 0.9456	LR: 0.020000
Training Epoch: 2 [15616/48750]	Loss: 0.8172	LR: 0.020000
Training Epoch: 2 [15872/48750]	Loss: 0.7667	LR: 0.020000
Training Epoch: 2 [16128/48750]	Loss: 0.7857	LR: 0.020000
Training Epoch: 2 [16384/48750]	Loss: 0.8635	LR: 0.020000
Training Epoch: 2 [16640/48750]	Loss: 0.8913	LR: 0.020000
Training Epoch: 2 [16896/48750]	Loss: 0.7422	LR: 0.020000
Training Epoch: 2 [17152/48750]	Loss: 0.8243	LR: 0.020000
Training Epoch: 2 [17408/48750]	Loss: 0.8257	LR: 0.020000
Training Epoch: 2 [17664/48750]	Loss: 0.7699	LR: 0.020000
Training Epoch: 2 [17920/48750]	Loss: 0.7951	LR: 0.020000
Training Epoch: 2 [18176/48750]	Loss: 0.7659	LR: 0.020000
Training Epoch: 2 [18432/48750]	Loss: 0.8055	LR: 0.020000
Training Epoch: 2 [18688/48750]	Loss: 0.7427	LR: 0.020000
Training Epoch: 2 [18944/48750]	Loss: 0.6547	LR: 0.020000
Training Epoch: 2 [19200/48750]	Loss: 0.7540	LR: 0.020000
Training Epoch: 2 [19456/48750]	Loss: 0.7458	LR: 0.020000
Training Epoch: 2 [19712/48750]	Loss: 0.7462	LR: 0.020000
Training Epoch: 2 [19968/48750]	Loss: 0.6618	LR: 0.020000
Training Epoch: 2 [20224/48750]	Loss: 0.7585	LR: 0.020000
Training Epoch: 2 [20480/48750]	Loss: 0.7805	LR: 0.020000
Training Epoch: 2 [20736/48750]	Loss: 0.8861	LR: 0.020000
Training Epoch: 2 [20992/48750]	Loss: 0.7487	LR: 0.020000
Training Epoch: 2 [21248/48750]	Loss: 0.8393	LR: 0.020000
Training Epoch: 2 [21504/48750]	Loss: 0.9054	LR: 0.020000
Training Epoch: 2 [21760/48750]	Loss: 0.6984	LR: 0.020000
Training Epoch: 2 [22016/48750]	Loss: 0.6730	LR: 0.020000
Training Epoch: 2 [22272/48750]	Loss: 0.7698	LR: 0.020000
Training Epoch: 2 [22528/48750]	Loss: 0.8614	LR: 0.020000
Training Epoch: 2 [22784/48750]	Loss: 0.7917	LR: 0.020000
Training Epoch: 2 [23040/48750]	Loss: 0.8371	LR: 0.020000
Training Epoch: 2 [23296/48750]	Loss: 0.7848	LR: 0.020000
Training Epoch: 2 [23552/48750]	Loss: 0.6930	LR: 0.020000
Training Epoch: 2 [23808/48750]	Loss: 0.6477	LR: 0.020000
Training Epoch: 2 [24064/48750]	Loss: 0.7643	LR: 0.020000
Training Epoch: 2 [24320/48750]	Loss: 0.7444	LR: 0.020000
Training Epoch: 2 [24576/48750]	Loss: 0.6932	LR: 0.020000
Training Epoch: 2 [24832/48750]	Loss: 0.7384	LR: 0.020000
Training Epoch: 2 [25088/48750]	Loss: 0.6957	LR: 0.020000
Training Epoch: 2 [25344/48750]	Loss: 0.6080	LR: 0.020000
Training Epoch: 2 [25600/48750]	Loss: 0.6551	LR: 0.020000
Training Epoch: 2 [25856/48750]	Loss: 0.7969	LR: 0.020000
Training Epoch: 2 [26112/48750]	Loss: 0.7339	LR: 0.020000
Training Epoch: 2 [26368/48750]	Loss: 0.7310	LR: 0.020000
Training Epoch: 2 [26624/48750]	Loss: 0.7156	LR: 0.020000
Training Epoch: 2 [26880/48750]	Loss: 0.8905	LR: 0.020000
Training Epoch: 2 [27136/48750]	Loss: 0.8158	LR: 0.020000
Training Epoch: 2 [27392/48750]	Loss: 0.7434	LR: 0.020000
Training Epoch: 2 [27648/48750]	Loss: 0.7378	LR: 0.020000
Training Epoch: 2 [27904/48750]	Loss: 0.6976	LR: 0.020000
Training Epoch: 2 [28160/48750]	Loss: 0.8257	LR: 0.020000
Training Epoch: 2 [28416/48750]	Loss: 0.7304	LR: 0.020000
Training Epoch: 2 [28672/48750]	Loss: 0.6728	LR: 0.020000
Training Epoch: 2 [28928/48750]	Loss: 0.7447	LR: 0.020000
Training Epoch: 2 [29184/48750]	Loss: 0.6685	LR: 0.020000
Training Epoch: 2 [29440/48750]	Loss: 0.7595	LR: 0.020000
Training Epoch: 2 [29696/48750]	Loss: 0.8160	LR: 0.020000
Training Epoch: 2 [29952/48750]	Loss: 0.7907	LR: 0.020000
Training Epoch: 2 [30208/48750]	Loss: 0.8201	LR: 0.020000
Training Epoch: 2 [30464/48750]	Loss: 0.6746	LR: 0.020000
Training Epoch: 2 [30720/48750]	Loss: 0.7087	LR: 0.020000
Training Epoch: 2 [30976/48750]	Loss: 0.6787	LR: 0.020000
Training Epoch: 2 [31232/48750]	Loss: 0.8401	LR: 0.020000
Training Epoch: 2 [31488/48750]	Loss: 0.6251	LR: 0.020000
Training Epoch: 2 [31744/48750]	Loss: 0.7225	LR: 0.020000
Training Epoch: 2 [32000/48750]	Loss: 0.7616	LR: 0.020000
Training Epoch: 2 [32256/48750]	Loss: 0.7344	LR: 0.020000
Training Epoch: 2 [32512/48750]	Loss: 0.7054	LR: 0.020000
Training Epoch: 2 [32768/48750]	Loss: 0.6318	LR: 0.020000
Training Epoch: 2 [33024/48750]	Loss: 0.7564	LR: 0.020000
Training Epoch: 2 [33280/48750]	Loss: 0.8280	LR: 0.020000
Training Epoch: 2 [33536/48750]	Loss: 0.7844	LR: 0.020000
Training Epoch: 2 [33792/48750]	Loss: 0.7847	LR: 0.020000
Training Epoch: 2 [34048/48750]	Loss: 0.7179	LR: 0.020000
Training Epoch: 2 [34304/48750]	Loss: 0.6789	LR: 0.020000
Training Epoch: 2 [34560/48750]	Loss: 0.7657	LR: 0.020000
Training Epoch: 2 [34816/48750]	Loss: 0.7052	LR: 0.020000
Training Epoch: 2 [35072/48750]	Loss: 0.6571	LR: 0.020000
Training Epoch: 2 [35328/48750]	Loss: 0.8172	LR: 0.020000
Training Epoch: 2 [35584/48750]	Loss: 0.7796	LR: 0.020000
Training Epoch: 2 [35840/48750]	Loss: 0.6885	LR: 0.020000
Training Epoch: 2 [36096/48750]	Loss: 0.7977	LR: 0.020000
Training Epoch: 2 [36352/48750]	Loss: 0.6672	LR: 0.020000
Training Epoch: 2 [36608/48750]	Loss: 0.6669	LR: 0.020000
Training Epoch: 2 [36864/48750]	Loss: 0.6789	LR: 0.020000
Training Epoch: 2 [37120/48750]	Loss: 0.6417	LR: 0.020000
Training Epoch: 2 [37376/48750]	Loss: 0.8504	LR: 0.020000
Training Epoch: 2 [37632/48750]	Loss: 0.7353	LR: 0.020000
Training Epoch: 2 [37888/48750]	Loss: 0.7694	LR: 0.020000
Training Epoch: 2 [38144/48750]	Loss: 0.6268	LR: 0.020000
Training Epoch: 2 [38400/48750]	Loss: 0.6060	LR: 0.020000
Training Epoch: 2 [38656/48750]	Loss: 0.7331	LR: 0.020000
Training Epoch: 2 [38912/48750]	Loss: 0.6383	LR: 0.020000
Training Epoch: 2 [39168/48750]	Loss: 0.6852	LR: 0.020000
Training Epoch: 2 [39424/48750]	Loss: 0.6032	LR: 0.020000
Training Epoch: 2 [39680/48750]	Loss: 0.6879	LR: 0.020000
Training Epoch: 2 [39936/48750]	Loss: 0.6626	LR: 0.020000
Training Epoch: 2 [40192/48750]	Loss: 0.8132	LR: 0.020000
Training Epoch: 2 [40448/48750]	Loss: 0.6584	LR: 0.020000
Training Epoch: 2 [40704/48750]	Loss: 0.6634	LR: 0.020000
Training Epoch: 2 [40960/48750]	Loss: 0.8374	LR: 0.020000
Training Epoch: 2 [41216/48750]	Loss: 0.8227	LR: 0.020000
Training Epoch: 2 [41472/48750]	Loss: 0.6762	LR: 0.020000
Training Epoch: 2 [41728/48750]	Loss: 0.8182	LR: 0.020000
Training Epoch: 2 [41984/48750]	Loss: 0.6893	LR: 0.020000
Training Epoch: 2 [42240/48750]	Loss: 0.7102	LR: 0.020000
Training Epoch: 2 [42496/48750]	Loss: 0.6616	LR: 0.020000
Training Epoch: 2 [42752/48750]	Loss: 0.6569	LR: 0.020000
Training Epoch: 2 [43008/48750]	Loss: 0.8271	LR: 0.020000
Training Epoch: 2 [43264/48750]	Loss: 0.6342	LR: 0.020000
Training Epoch: 2 [43520/48750]	Loss: 0.6760	LR: 0.020000
Training Epoch: 2 [43776/48750]	Loss: 0.7007	LR: 0.020000
Training Epoch: 2 [44032/48750]	Loss: 0.6666	LR: 0.020000
Training Epoch: 2 [44288/48750]	Loss: 0.5853	LR: 0.020000
Training Epoch: 2 [44544/48750]	Loss: 0.6384	LR: 0.020000
Training Epoch: 2 [44800/48750]	Loss: 0.6801	LR: 0.020000
Training Epoch: 2 [45056/48750]	Loss: 0.6704	LR: 0.020000
Training Epoch: 2 [45312/48750]	Loss: 0.7140	LR: 0.020000
Training Epoch: 2 [45568/48750]	Loss: 0.6443	LR: 0.020000
Training Epoch: 2 [45824/48750]	Loss: 0.5879	LR: 0.020000
Training Epoch: 2 [46080/48750]	Loss: 0.7067	LR: 0.020000
Training Epoch: 2 [46336/48750]	Loss: 0.7376	LR: 0.020000
Training Epoch: 2 [46592/48750]	Loss: 0.6361	LR: 0.020000
Training Epoch: 2 [46848/48750]	Loss: 0.7984	LR: 0.020000
Training Epoch: 2 [47104/48750]	Loss: 0.7129	LR: 0.020000
Training Epoch: 2 [47360/48750]	Loss: 0.6690	LR: 0.020000
Training Epoch: 2 [47616/48750]	Loss: 0.6560	LR: 0.020000
Training Epoch: 2 [47872/48750]	Loss: 0.7006	LR: 0.020000
Training Epoch: 2 [48128/48750]	Loss: 0.7192	LR: 0.020000
Training Epoch: 2 [48384/48750]	Loss: 0.5918	LR: 0.020000
Training Epoch: 2 [48640/48750]	Loss: 0.6736	LR: 0.020000
Training Epoch: 2 [48750/48750]	Loss: 0.5903	LR: 0.020000
Epoch 2 - Average Train Loss: 0.7828, Train Accuracy: 0.7225
Epoch 2 training time consumed: 19.19s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0031, Accuracy: 0.7212, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_52m_34s/ResNet18-Cifar10-seed8-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.5285	LR: 0.020000
Training Epoch: 3 [512/48750]	Loss: 0.5744	LR: 0.020000
Training Epoch: 3 [768/48750]	Loss: 0.5392	LR: 0.020000
Training Epoch: 3 [1024/48750]	Loss: 0.5828	LR: 0.020000
Training Epoch: 3 [1280/48750]	Loss: 0.5613	LR: 0.020000
Training Epoch: 3 [1536/48750]	Loss: 0.5363	LR: 0.020000
Training Epoch: 3 [1792/48750]	Loss: 0.5373	LR: 0.020000
Training Epoch: 3 [2048/48750]	Loss: 0.4882	LR: 0.020000
Training Epoch: 3 [2304/48750]	Loss: 0.4846	LR: 0.020000
Training Epoch: 3 [2560/48750]	Loss: 0.6132	LR: 0.020000
Training Epoch: 3 [2816/48750]	Loss: 0.5883	LR: 0.020000
Training Epoch: 3 [3072/48750]	Loss: 0.5163	LR: 0.020000
Training Epoch: 3 [3328/48750]	Loss: 0.5682	LR: 0.020000
Training Epoch: 3 [3584/48750]	Loss: 0.4182	LR: 0.020000
Training Epoch: 3 [3840/48750]	Loss: 0.6300	LR: 0.020000
Training Epoch: 3 [4096/48750]	Loss: 0.6254	LR: 0.020000
Training Epoch: 3 [4352/48750]	Loss: 0.5555	LR: 0.020000
Training Epoch: 3 [4608/48750]	Loss: 0.4825	LR: 0.020000
Training Epoch: 3 [4864/48750]	Loss: 0.6254	LR: 0.020000
Training Epoch: 3 [5120/48750]	Loss: 0.5020	LR: 0.020000
Training Epoch: 3 [5376/48750]	Loss: 0.5148	LR: 0.020000
Training Epoch: 3 [5632/48750]	Loss: 0.5148	LR: 0.020000
Training Epoch: 3 [5888/48750]	Loss: 0.5532	LR: 0.020000
Training Epoch: 3 [6144/48750]	Loss: 0.5609	LR: 0.020000
Training Epoch: 3 [6400/48750]	Loss: 0.5617	LR: 0.020000
Training Epoch: 3 [6656/48750]	Loss: 0.5970	LR: 0.020000
Training Epoch: 3 [6912/48750]	Loss: 0.7126	LR: 0.020000
Training Epoch: 3 [7168/48750]	Loss: 0.5619	LR: 0.020000
Training Epoch: 3 [7424/48750]	Loss: 0.6471	LR: 0.020000
Training Epoch: 3 [7680/48750]	Loss: 0.5486	LR: 0.020000
Training Epoch: 3 [7936/48750]	Loss: 0.5256	LR: 0.020000
Training Epoch: 3 [8192/48750]	Loss: 0.6263	LR: 0.020000
Training Epoch: 3 [8448/48750]	Loss: 0.5898	LR: 0.020000
Training Epoch: 3 [8704/48750]	Loss: 0.5197	LR: 0.020000
Training Epoch: 3 [8960/48750]	Loss: 0.5124	LR: 0.020000
Training Epoch: 3 [9216/48750]	Loss: 0.5860	LR: 0.020000
Training Epoch: 3 [9472/48750]	Loss: 0.6073	LR: 0.020000
Training Epoch: 3 [9728/48750]	Loss: 0.5594	LR: 0.020000
Training Epoch: 3 [9984/48750]	Loss: 0.6268	LR: 0.020000
Training Epoch: 3 [10240/48750]	Loss: 0.6084	LR: 0.020000
Training Epoch: 3 [10496/48750]	Loss: 0.6764	LR: 0.020000
Training Epoch: 3 [10752/48750]	Loss: 0.5917	LR: 0.020000
Training Epoch: 3 [11008/48750]	Loss: 0.5792	LR: 0.020000
Training Epoch: 3 [11264/48750]	Loss: 0.6342	LR: 0.020000
Training Epoch: 3 [11520/48750]	Loss: 0.5114	LR: 0.020000
Training Epoch: 3 [11776/48750]	Loss: 0.5968	LR: 0.020000
Training Epoch: 3 [12032/48750]	Loss: 0.5958	LR: 0.020000
Training Epoch: 3 [12288/48750]	Loss: 0.6388	LR: 0.020000
Training Epoch: 3 [12544/48750]	Loss: 0.6820	LR: 0.020000
Training Epoch: 3 [12800/48750]	Loss: 0.5105	LR: 0.020000
Training Epoch: 3 [13056/48750]	Loss: 0.6661	LR: 0.020000
Training Epoch: 3 [13312/48750]	Loss: 0.5021	LR: 0.020000
Training Epoch: 3 [13568/48750]	Loss: 0.5710	LR: 0.020000
Training Epoch: 3 [13824/48750]	Loss: 0.6021	LR: 0.020000
Training Epoch: 3 [14080/48750]	Loss: 0.5620	LR: 0.020000
Training Epoch: 3 [14336/48750]	Loss: 0.6170	LR: 0.020000
Training Epoch: 3 [14592/48750]	Loss: 0.5531	LR: 0.020000
Training Epoch: 3 [14848/48750]	Loss: 0.5353	LR: 0.020000
Training Epoch: 3 [15104/48750]	Loss: 0.6493	LR: 0.020000
Training Epoch: 3 [15360/48750]	Loss: 0.6701	LR: 0.020000
Training Epoch: 3 [15616/48750]	Loss: 0.5127	LR: 0.020000
Training Epoch: 3 [15872/48750]	Loss: 0.4616	LR: 0.020000
Training Epoch: 3 [16128/48750]	Loss: 0.5019	LR: 0.020000
Training Epoch: 3 [16384/48750]	Loss: 0.5682	LR: 0.020000
Training Epoch: 3 [16640/48750]	Loss: 0.5455	LR: 0.020000
Training Epoch: 3 [16896/48750]	Loss: 0.5166	LR: 0.020000
Training Epoch: 3 [17152/48750]	Loss: 0.4988	LR: 0.020000
Training Epoch: 3 [17408/48750]	Loss: 0.5767	LR: 0.020000
Training Epoch: 3 [17664/48750]	Loss: 0.5517	LR: 0.020000
Training Epoch: 3 [17920/48750]	Loss: 0.5629	LR: 0.020000
Training Epoch: 3 [18176/48750]	Loss: 0.6046	LR: 0.020000
Training Epoch: 3 [18432/48750]	Loss: 0.6654	LR: 0.020000
Training Epoch: 3 [18688/48750]	Loss: 0.5778	LR: 0.020000
Training Epoch: 3 [18944/48750]	Loss: 0.6209	LR: 0.020000
Training Epoch: 3 [19200/48750]	Loss: 0.6023	LR: 0.020000
Training Epoch: 3 [19456/48750]	Loss: 0.5276	LR: 0.020000
Training Epoch: 3 [19712/48750]	Loss: 0.6574	LR: 0.020000
Training Epoch: 3 [19968/48750]	Loss: 0.6174	LR: 0.020000
Training Epoch: 3 [20224/48750]	Loss: 0.5931	LR: 0.020000
Training Epoch: 3 [20480/48750]	Loss: 0.6455	LR: 0.020000
Training Epoch: 3 [20736/48750]	Loss: 0.6299	LR: 0.020000
Training Epoch: 3 [20992/48750]	Loss: 0.6648	LR: 0.020000
Training Epoch: 3 [21248/48750]	Loss: 0.5635	LR: 0.020000
Training Epoch: 3 [21504/48750]	Loss: 0.5631	LR: 0.020000
Training Epoch: 3 [21760/48750]	Loss: 0.6141	LR: 0.020000
Training Epoch: 3 [22016/48750]	Loss: 0.6516	LR: 0.020000
Training Epoch: 3 [22272/48750]	Loss: 0.6014	LR: 0.020000
Training Epoch: 3 [22528/48750]	Loss: 0.7010	LR: 0.020000
Training Epoch: 3 [22784/48750]	Loss: 0.5592	LR: 0.020000
Training Epoch: 3 [23040/48750]	Loss: 0.5843	LR: 0.020000
Training Epoch: 3 [23296/48750]	Loss: 0.5538	LR: 0.020000
Training Epoch: 3 [23552/48750]	Loss: 0.6723	LR: 0.020000
Training Epoch: 3 [23808/48750]	Loss: 0.7224	LR: 0.020000
Training Epoch: 3 [24064/48750]	Loss: 0.5229	LR: 0.020000
Training Epoch: 3 [24320/48750]	Loss: 0.5691	LR: 0.020000
Training Epoch: 3 [24576/48750]	Loss: 0.6377	LR: 0.020000
Training Epoch: 3 [24832/48750]	Loss: 0.5629	LR: 0.020000
Training Epoch: 3 [25088/48750]	Loss: 0.5758	LR: 0.020000
Training Epoch: 3 [25344/48750]	Loss: 0.5545	LR: 0.020000
Training Epoch: 3 [25600/48750]	Loss: 0.5353	LR: 0.020000
Training Epoch: 3 [25856/48750]	Loss: 0.5560	LR: 0.020000
Training Epoch: 3 [26112/48750]	Loss: 0.5232	LR: 0.020000
Training Epoch: 3 [26368/48750]	Loss: 0.7035	LR: 0.020000
Training Epoch: 3 [26624/48750]	Loss: 0.5546	LR: 0.020000
Training Epoch: 3 [26880/48750]	Loss: 0.5886	LR: 0.020000
Training Epoch: 3 [27136/48750]	Loss: 0.5785	LR: 0.020000
Training Epoch: 3 [27392/48750]	Loss: 0.6052	LR: 0.020000
Training Epoch: 3 [27648/48750]	Loss: 0.6279	LR: 0.020000
Training Epoch: 3 [27904/48750]	Loss: 0.6429	LR: 0.020000
Training Epoch: 3 [28160/48750]	Loss: 0.6582	LR: 0.020000
Training Epoch: 3 [28416/48750]	Loss: 0.6481	LR: 0.020000
Training Epoch: 3 [28672/48750]	Loss: 0.6176	LR: 0.020000
Training Epoch: 3 [28928/48750]	Loss: 0.5939	LR: 0.020000
Training Epoch: 3 [29184/48750]	Loss: 0.5810	LR: 0.020000
Training Epoch: 3 [29440/48750]	Loss: 0.5823	LR: 0.020000
Training Epoch: 3 [29696/48750]	Loss: 0.5117	LR: 0.020000
Training Epoch: 3 [29952/48750]	Loss: 0.5816	LR: 0.020000
Training Epoch: 3 [30208/48750]	Loss: 0.5677	LR: 0.020000
Training Epoch: 3 [30464/48750]	Loss: 0.5784	LR: 0.020000
Training Epoch: 3 [30720/48750]	Loss: 0.5979	LR: 0.020000
Training Epoch: 3 [30976/48750]	Loss: 0.6083	LR: 0.020000
Training Epoch: 3 [31232/48750]	Loss: 0.6737	LR: 0.020000
Training Epoch: 3 [31488/48750]	Loss: 0.5312	LR: 0.020000
Training Epoch: 3 [31744/48750]	Loss: 0.6186	LR: 0.020000
Training Epoch: 3 [32000/48750]	Loss: 0.5880	LR: 0.020000
Training Epoch: 3 [32256/48750]	Loss: 0.6249	LR: 0.020000
Training Epoch: 3 [32512/48750]	Loss: 0.6231	LR: 0.020000
Training Epoch: 3 [32768/48750]	Loss: 0.6849	LR: 0.020000
Training Epoch: 3 [33024/48750]	Loss: 0.5902	LR: 0.020000
Training Epoch: 3 [33280/48750]	Loss: 0.6709	LR: 0.020000
Training Epoch: 3 [33536/48750]	Loss: 0.5876	LR: 0.020000
Training Epoch: 3 [33792/48750]	Loss: 0.5391	LR: 0.020000
Training Epoch: 3 [34048/48750]	Loss: 0.6349	LR: 0.020000
Training Epoch: 3 [34304/48750]	Loss: 0.5019	LR: 0.020000
Training Epoch: 3 [34560/48750]	Loss: 0.6592	LR: 0.020000
Training Epoch: 3 [34816/48750]	Loss: 0.5220	LR: 0.020000
Training Epoch: 3 [35072/48750]	Loss: 0.5588	LR: 0.020000
Training Epoch: 3 [35328/48750]	Loss: 0.6248	LR: 0.020000
Training Epoch: 3 [35584/48750]	Loss: 0.4955	LR: 0.020000
Training Epoch: 3 [35840/48750]	Loss: 0.6063	LR: 0.020000
Training Epoch: 3 [36096/48750]	Loss: 0.5494	LR: 0.020000
Training Epoch: 3 [36352/48750]	Loss: 0.5792	LR: 0.020000
Training Epoch: 3 [36608/48750]	Loss: 0.6111	LR: 0.020000
Training Epoch: 3 [36864/48750]	Loss: 0.5140	LR: 0.020000
Training Epoch: 3 [37120/48750]	Loss: 0.6044	LR: 0.020000
Training Epoch: 3 [37376/48750]	Loss: 0.5494	LR: 0.020000
Training Epoch: 3 [37632/48750]	Loss: 0.5081	LR: 0.020000
Training Epoch: 3 [37888/48750]	Loss: 0.6175	LR: 0.020000
Training Epoch: 3 [38144/48750]	Loss: 0.5561	LR: 0.020000
Training Epoch: 3 [38400/48750]	Loss: 0.5683	LR: 0.020000
Training Epoch: 3 [38656/48750]	Loss: 0.5239	LR: 0.020000
Training Epoch: 3 [38912/48750]	Loss: 0.5419	LR: 0.020000
Training Epoch: 3 [39168/48750]	Loss: 0.4621	LR: 0.020000
Training Epoch: 3 [39424/48750]	Loss: 0.6550	LR: 0.020000
Training Epoch: 3 [39680/48750]	Loss: 0.6225	LR: 0.020000
Training Epoch: 3 [39936/48750]	Loss: 0.5020	LR: 0.020000
Training Epoch: 3 [40192/48750]	Loss: 0.5495	LR: 0.020000
Training Epoch: 3 [40448/48750]	Loss: 0.5686	LR: 0.020000
Training Epoch: 3 [40704/48750]	Loss: 0.5204	LR: 0.020000
Training Epoch: 3 [40960/48750]	Loss: 0.6364	LR: 0.020000
Training Epoch: 3 [41216/48750]	Loss: 0.5246	LR: 0.020000
Training Epoch: 3 [41472/48750]	Loss: 0.5320	LR: 0.020000
Training Epoch: 3 [41728/48750]	Loss: 0.5087	LR: 0.020000
Training Epoch: 3 [41984/48750]	Loss: 0.6232	LR: 0.020000
Training Epoch: 3 [42240/48750]	Loss: 0.6936	LR: 0.020000
Training Epoch: 3 [42496/48750]	Loss: 0.5463	LR: 0.020000
Training Epoch: 3 [42752/48750]	Loss: 0.6074	LR: 0.020000
Training Epoch: 3 [43008/48750]	Loss: 0.5064	LR: 0.020000
Training Epoch: 3 [43264/48750]	Loss: 0.5960	LR: 0.020000
Training Epoch: 3 [43520/48750]	Loss: 0.5941	LR: 0.020000
Training Epoch: 3 [43776/48750]	Loss: 0.4417	LR: 0.020000
Training Epoch: 3 [44032/48750]	Loss: 0.5174	LR: 0.020000
Training Epoch: 3 [44288/48750]	Loss: 0.6157	LR: 0.020000
Training Epoch: 3 [44544/48750]	Loss: 0.5867	LR: 0.020000
Training Epoch: 3 [44800/48750]	Loss: 0.6161	LR: 0.020000
Training Epoch: 3 [45056/48750]	Loss: 0.5531	LR: 0.020000
Training Epoch: 3 [45312/48750]	Loss: 0.6621	LR: 0.020000
Training Epoch: 3 [45568/48750]	Loss: 0.5562	LR: 0.020000
Training Epoch: 3 [45824/48750]	Loss: 0.5255	LR: 0.020000
Training Epoch: 3 [46080/48750]	Loss: 0.6211	LR: 0.020000
Training Epoch: 3 [46336/48750]	Loss: 0.5939	LR: 0.020000
Training Epoch: 3 [46592/48750]	Loss: 0.5244	LR: 0.020000
Training Epoch: 3 [46848/48750]	Loss: 0.5201	LR: 0.020000
Training Epoch: 3 [47104/48750]	Loss: 0.5189	LR: 0.020000
Training Epoch: 3 [47360/48750]	Loss: 0.5520	LR: 0.020000
Training Epoch: 3 [47616/48750]	Loss: 0.5218	LR: 0.020000
Training Epoch: 3 [47872/48750]	Loss: 0.6024	LR: 0.020000
Training Epoch: 3 [48128/48750]	Loss: 0.5814	LR: 0.020000
Training Epoch: 3 [48384/48750]	Loss: 0.5270	LR: 0.020000
Training Epoch: 3 [48640/48750]	Loss: 0.6082	LR: 0.020000
Training Epoch: 3 [48750/48750]	Loss: 0.7754	LR: 0.020000
Epoch 3 - Average Train Loss: 0.5791, Train Accuracy: 0.7955
Epoch 3 training time consumed: 18.80s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0027, Accuracy: 0.7691, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_52m_34s/ResNet18-Cifar10-seed8-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.4311	LR: 0.020000
Training Epoch: 4 [512/48750]	Loss: 0.4343	LR: 0.020000
Training Epoch: 4 [768/48750]	Loss: 0.5376	LR: 0.020000
Training Epoch: 4 [1024/48750]	Loss: 0.3673	LR: 0.020000
Training Epoch: 4 [1280/48750]	Loss: 0.4479	LR: 0.020000
Training Epoch: 4 [1536/48750]	Loss: 0.4869	LR: 0.020000
Training Epoch: 4 [1792/48750]	Loss: 0.4456	LR: 0.020000
Training Epoch: 4 [2048/48750]	Loss: 0.4275	LR: 0.020000
Training Epoch: 4 [2304/48750]	Loss: 0.4127	LR: 0.020000
Training Epoch: 4 [2560/48750]	Loss: 0.4974	LR: 0.020000
Training Epoch: 4 [2816/48750]	Loss: 0.4145	LR: 0.020000
Training Epoch: 4 [3072/48750]	Loss: 0.4252	LR: 0.020000
Training Epoch: 4 [3328/48750]	Loss: 0.4130	LR: 0.020000
Training Epoch: 4 [3584/48750]	Loss: 0.5022	LR: 0.020000
Training Epoch: 4 [3840/48750]	Loss: 0.3965	LR: 0.020000
Training Epoch: 4 [4096/48750]	Loss: 0.4367	LR: 0.020000
Training Epoch: 4 [4352/48750]	Loss: 0.4010	LR: 0.020000
Training Epoch: 4 [4608/48750]	Loss: 0.4306	LR: 0.020000
Training Epoch: 4 [4864/48750]	Loss: 0.4897	LR: 0.020000
Training Epoch: 4 [5120/48750]	Loss: 0.4515	LR: 0.020000
Training Epoch: 4 [5376/48750]	Loss: 0.4883	LR: 0.020000
Training Epoch: 4 [5632/48750]	Loss: 0.4722	LR: 0.020000
Training Epoch: 4 [5888/48750]	Loss: 0.4645	LR: 0.020000
Training Epoch: 4 [6144/48750]	Loss: 0.3813	LR: 0.020000
Training Epoch: 4 [6400/48750]	Loss: 0.4920	LR: 0.020000
Training Epoch: 4 [6656/48750]	Loss: 0.3565	LR: 0.020000
Training Epoch: 4 [6912/48750]	Loss: 0.4393	LR: 0.020000
Training Epoch: 4 [7168/48750]	Loss: 0.4376	LR: 0.020000
Training Epoch: 4 [7424/48750]	Loss: 0.4938	LR: 0.020000
Training Epoch: 4 [7680/48750]	Loss: 0.4081	LR: 0.020000
Training Epoch: 4 [7936/48750]	Loss: 0.5156	LR: 0.020000
Training Epoch: 4 [8192/48750]	Loss: 0.3358	LR: 0.020000
Training Epoch: 4 [8448/48750]	Loss: 0.4645	LR: 0.020000
Training Epoch: 4 [8704/48750]	Loss: 0.4045	LR: 0.020000
Training Epoch: 4 [8960/48750]	Loss: 0.3811	LR: 0.020000
Training Epoch: 4 [9216/48750]	Loss: 0.3993	LR: 0.020000
Training Epoch: 4 [9472/48750]	Loss: 0.4231	LR: 0.020000
Training Epoch: 4 [9728/48750]	Loss: 0.4768	LR: 0.020000
Training Epoch: 4 [9984/48750]	Loss: 0.3954	LR: 0.020000
Training Epoch: 4 [10240/48750]	Loss: 0.4568	LR: 0.020000
Training Epoch: 4 [10496/48750]	Loss: 0.4140	LR: 0.020000
Training Epoch: 4 [10752/48750]	Loss: 0.4085	LR: 0.020000
Training Epoch: 4 [11008/48750]	Loss: 0.3776	LR: 0.020000
Training Epoch: 4 [11264/48750]	Loss: 0.4406	LR: 0.020000
Training Epoch: 4 [11520/48750]	Loss: 0.4388	LR: 0.020000
Training Epoch: 4 [11776/48750]	Loss: 0.4779	LR: 0.020000
Training Epoch: 4 [12032/48750]	Loss: 0.3562	LR: 0.020000
Training Epoch: 4 [12288/48750]	Loss: 0.3355	LR: 0.020000
Training Epoch: 4 [12544/48750]	Loss: 0.3568	LR: 0.020000
Training Epoch: 4 [12800/48750]	Loss: 0.3495	LR: 0.020000
Training Epoch: 4 [13056/48750]	Loss: 0.4558	LR: 0.020000
Training Epoch: 4 [13312/48750]	Loss: 0.5175	LR: 0.020000
Training Epoch: 4 [13568/48750]	Loss: 0.5221	LR: 0.020000
Training Epoch: 4 [13824/48750]	Loss: 0.3897	LR: 0.020000
Training Epoch: 4 [14080/48750]	Loss: 0.3383	LR: 0.020000
Training Epoch: 4 [14336/48750]	Loss: 0.4909	LR: 0.020000
Training Epoch: 4 [14592/48750]	Loss: 0.4628	LR: 0.020000
Training Epoch: 4 [14848/48750]	Loss: 0.4594	LR: 0.020000
Training Epoch: 4 [15104/48750]	Loss: 0.3714	LR: 0.020000
Training Epoch: 4 [15360/48750]	Loss: 0.4221	LR: 0.020000
Training Epoch: 4 [15616/48750]	Loss: 0.4399	LR: 0.020000
Training Epoch: 4 [15872/48750]	Loss: 0.4148	LR: 0.020000
Training Epoch: 4 [16128/48750]	Loss: 0.5311	LR: 0.020000
Training Epoch: 4 [16384/48750]	Loss: 0.3793	LR: 0.020000
Training Epoch: 4 [16640/48750]	Loss: 0.4154	LR: 0.020000
Training Epoch: 4 [16896/48750]	Loss: 0.4665	LR: 0.020000
Training Epoch: 4 [17152/48750]	Loss: 0.5308	LR: 0.020000
Training Epoch: 4 [17408/48750]	Loss: 0.4437	LR: 0.020000
Training Epoch: 4 [17664/48750]	Loss: 0.4622	LR: 0.020000
Training Epoch: 4 [17920/48750]	Loss: 0.4028	LR: 0.020000
Training Epoch: 4 [18176/48750]	Loss: 0.4387	LR: 0.020000
Training Epoch: 4 [18432/48750]	Loss: 0.4084	LR: 0.020000
Training Epoch: 4 [18688/48750]	Loss: 0.4027	LR: 0.020000
Training Epoch: 4 [18944/48750]	Loss: 0.5251	LR: 0.020000
Training Epoch: 4 [19200/48750]	Loss: 0.5523	LR: 0.020000
Training Epoch: 4 [19456/48750]	Loss: 0.4797	LR: 0.020000
Training Epoch: 4 [19712/48750]	Loss: 0.4726	LR: 0.020000
Training Epoch: 4 [19968/48750]	Loss: 0.5437	LR: 0.020000
Training Epoch: 4 [20224/48750]	Loss: 0.5543	LR: 0.020000
Training Epoch: 4 [20480/48750]	Loss: 0.4539	LR: 0.020000
Training Epoch: 4 [20736/48750]	Loss: 0.4373	LR: 0.020000
Training Epoch: 4 [20992/48750]	Loss: 0.3398	LR: 0.020000
Training Epoch: 4 [21248/48750]	Loss: 0.4021	LR: 0.020000
Training Epoch: 4 [21504/48750]	Loss: 0.4467	LR: 0.020000
Training Epoch: 4 [21760/48750]	Loss: 0.4882	LR: 0.020000
Training Epoch: 4 [22016/48750]	Loss: 0.3550	LR: 0.020000
Training Epoch: 4 [22272/48750]	Loss: 0.4410	LR: 0.020000
Training Epoch: 4 [22528/48750]	Loss: 0.4958	LR: 0.020000
Training Epoch: 4 [22784/48750]	Loss: 0.3596	LR: 0.020000
Training Epoch: 4 [23040/48750]	Loss: 0.4766	LR: 0.020000
Training Epoch: 4 [23296/48750]	Loss: 0.4370	LR: 0.020000
Training Epoch: 4 [23552/48750]	Loss: 0.4721	LR: 0.020000
Training Epoch: 4 [23808/48750]	Loss: 0.5316	LR: 0.020000
Training Epoch: 4 [24064/48750]	Loss: 0.4865	LR: 0.020000
Training Epoch: 4 [24320/48750]	Loss: 0.4443	LR: 0.020000
Training Epoch: 4 [24576/48750]	Loss: 0.4498	LR: 0.020000
Training Epoch: 4 [24832/48750]	Loss: 0.5065	LR: 0.020000
Training Epoch: 4 [25088/48750]	Loss: 0.4816	LR: 0.020000
Training Epoch: 4 [25344/48750]	Loss: 0.3748	LR: 0.020000
Training Epoch: 4 [25600/48750]	Loss: 0.4438	LR: 0.020000
Training Epoch: 4 [25856/48750]	Loss: 0.4460	LR: 0.020000
Training Epoch: 4 [26112/48750]	Loss: 0.4491	LR: 0.020000
Training Epoch: 4 [26368/48750]	Loss: 0.4216	LR: 0.020000
Training Epoch: 4 [26624/48750]	Loss: 0.4434	LR: 0.020000
Training Epoch: 4 [26880/48750]	Loss: 0.5429	LR: 0.020000
Training Epoch: 4 [27136/48750]	Loss: 0.3978	LR: 0.020000
Training Epoch: 4 [27392/48750]	Loss: 0.4175	LR: 0.020000
Training Epoch: 4 [27648/48750]	Loss: 0.3925	LR: 0.020000
Training Epoch: 4 [27904/48750]	Loss: 0.5033	LR: 0.020000
Training Epoch: 4 [28160/48750]	Loss: 0.3203	LR: 0.020000
Training Epoch: 4 [28416/48750]	Loss: 0.3951	LR: 0.020000
Training Epoch: 4 [28672/48750]	Loss: 0.4692	LR: 0.020000
Training Epoch: 4 [28928/48750]	Loss: 0.4509	LR: 0.020000
Training Epoch: 4 [29184/48750]	Loss: 0.4814	LR: 0.020000
Training Epoch: 4 [29440/48750]	Loss: 0.4735	LR: 0.020000
Training Epoch: 4 [29696/48750]	Loss: 0.4856	LR: 0.020000
Training Epoch: 4 [29952/48750]	Loss: 0.4541	LR: 0.020000
Training Epoch: 4 [30208/48750]	Loss: 0.3908	LR: 0.020000
Training Epoch: 4 [30464/48750]	Loss: 0.4384	LR: 0.020000
Training Epoch: 4 [30720/48750]	Loss: 0.4418	LR: 0.020000
Training Epoch: 4 [30976/48750]	Loss: 0.4652	LR: 0.020000
Training Epoch: 4 [31232/48750]	Loss: 0.5600	LR: 0.020000
Training Epoch: 4 [31488/48750]	Loss: 0.4036	LR: 0.020000
Training Epoch: 4 [31744/48750]	Loss: 0.3892	LR: 0.020000
Training Epoch: 4 [32000/48750]	Loss: 0.4560	LR: 0.020000
Training Epoch: 4 [32256/48750]	Loss: 0.4445	LR: 0.020000
Training Epoch: 4 [32512/48750]	Loss: 0.5254	LR: 0.020000
Training Epoch: 4 [32768/48750]	Loss: 0.4965	LR: 0.020000
Training Epoch: 4 [33024/48750]	Loss: 0.3823	LR: 0.020000
Training Epoch: 4 [33280/48750]	Loss: 0.4338	LR: 0.020000
Training Epoch: 4 [33536/48750]	Loss: 0.4562	LR: 0.020000
Training Epoch: 4 [33792/48750]	Loss: 0.5352	LR: 0.020000
Training Epoch: 4 [34048/48750]	Loss: 0.4594	LR: 0.020000
Training Epoch: 4 [34304/48750]	Loss: 0.4828	LR: 0.020000
Training Epoch: 4 [34560/48750]	Loss: 0.4295	LR: 0.020000
Training Epoch: 4 [34816/48750]	Loss: 0.5739	LR: 0.020000
Training Epoch: 4 [35072/48750]	Loss: 0.4813	LR: 0.020000
Training Epoch: 4 [35328/48750]	Loss: 0.3821	LR: 0.020000
Training Epoch: 4 [35584/48750]	Loss: 0.4493	LR: 0.020000
Training Epoch: 4 [35840/48750]	Loss: 0.5396	LR: 0.020000
Training Epoch: 4 [36096/48750]	Loss: 0.4301	LR: 0.020000
Training Epoch: 4 [36352/48750]	Loss: 0.5408	LR: 0.020000
Training Epoch: 4 [36608/48750]	Loss: 0.4416	LR: 0.020000
Training Epoch: 4 [36864/48750]	Loss: 0.4423	LR: 0.020000
Training Epoch: 4 [37120/48750]	Loss: 0.3443	LR: 0.020000
Training Epoch: 4 [37376/48750]	Loss: 0.4176	LR: 0.020000
Training Epoch: 4 [37632/48750]	Loss: 0.3702	LR: 0.020000
Training Epoch: 4 [37888/48750]	Loss: 0.4627	LR: 0.020000
Training Epoch: 4 [38144/48750]	Loss: 0.4223	LR: 0.020000
Training Epoch: 4 [38400/48750]	Loss: 0.5252	LR: 0.020000
Training Epoch: 4 [38656/48750]	Loss: 0.4479	LR: 0.020000
Training Epoch: 4 [38912/48750]	Loss: 0.4810	LR: 0.020000
Training Epoch: 4 [39168/48750]	Loss: 0.4572	LR: 0.020000
Training Epoch: 4 [39424/48750]	Loss: 0.3954	LR: 0.020000
Training Epoch: 4 [39680/48750]	Loss: 0.3888	LR: 0.020000
Training Epoch: 4 [39936/48750]	Loss: 0.3724	LR: 0.020000
Training Epoch: 4 [40192/48750]	Loss: 0.4984	LR: 0.020000
Training Epoch: 4 [40448/48750]	Loss: 0.5339	LR: 0.020000
Training Epoch: 4 [40704/48750]	Loss: 0.3415	LR: 0.020000
Training Epoch: 4 [40960/48750]	Loss: 0.5092	LR: 0.020000
Training Epoch: 4 [41216/48750]	Loss: 0.4380	LR: 0.020000
Training Epoch: 4 [41472/48750]	Loss: 0.3836	LR: 0.020000
Training Epoch: 4 [41728/48750]	Loss: 0.3980	LR: 0.020000
Training Epoch: 4 [41984/48750]	Loss: 0.4638	LR: 0.020000
Training Epoch: 4 [42240/48750]	Loss: 0.4115	LR: 0.020000
Training Epoch: 4 [42496/48750]	Loss: 0.4316	LR: 0.020000
Training Epoch: 4 [42752/48750]	Loss: 0.4822	LR: 0.020000
Training Epoch: 4 [43008/48750]	Loss: 0.4301	LR: 0.020000
Training Epoch: 4 [43264/48750]	Loss: 0.4906	LR: 0.020000
Training Epoch: 4 [43520/48750]	Loss: 0.5249	LR: 0.020000
Training Epoch: 4 [43776/48750]	Loss: 0.3518	LR: 0.020000
Training Epoch: 4 [44032/48750]	Loss: 0.4825	LR: 0.020000
Training Epoch: 4 [44288/48750]	Loss: 0.4564	LR: 0.020000
Training Epoch: 4 [44544/48750]	Loss: 0.5597	LR: 0.020000
Training Epoch: 4 [44800/48750]	Loss: 0.5633	LR: 0.020000
Training Epoch: 4 [45056/48750]	Loss: 0.4862	LR: 0.020000
Training Epoch: 4 [45312/48750]	Loss: 0.5052	LR: 0.020000
Training Epoch: 4 [45568/48750]	Loss: 0.3837	LR: 0.020000
Training Epoch: 4 [45824/48750]	Loss: 0.4830	LR: 0.020000
Training Epoch: 4 [46080/48750]	Loss: 0.3807	LR: 0.020000
Training Epoch: 4 [46336/48750]	Loss: 0.5687	LR: 0.020000
Training Epoch: 4 [46592/48750]	Loss: 0.4615	LR: 0.020000
Training Epoch: 4 [46848/48750]	Loss: 0.4398	LR: 0.020000
Training Epoch: 4 [47104/48750]	Loss: 0.4081	LR: 0.020000
Training Epoch: 4 [47360/48750]	Loss: 0.4229	LR: 0.020000
Training Epoch: 4 [47616/48750]	Loss: 0.4946	LR: 0.020000
Training Epoch: 4 [47872/48750]	Loss: 0.5068	LR: 0.020000
Training Epoch: 4 [48128/48750]	Loss: 0.4499	LR: 0.020000
Training Epoch: 4 [48384/48750]	Loss: 0.4977	LR: 0.020000
Training Epoch: 4 [48640/48750]	Loss: 0.4969	LR: 0.020000
Training Epoch: 4 [48750/48750]	Loss: 0.5438	LR: 0.020000
Epoch 4 - Average Train Loss: 0.4473, Train Accuracy: 0.8430
Epoch 4 training time consumed: 19.14s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0036, Accuracy: 0.7138, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_52m_34s/ResNet18-Cifar10-seed8-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.5277	LR: 0.004000
Training Epoch: 5 [512/48750]	Loss: 0.3338	LR: 0.004000
Training Epoch: 5 [768/48750]	Loss: 0.3544	LR: 0.004000
Training Epoch: 5 [1024/48750]	Loss: 0.2875	LR: 0.004000
Training Epoch: 5 [1280/48750]	Loss: 0.2961	LR: 0.004000
Training Epoch: 5 [1536/48750]	Loss: 0.3482	LR: 0.004000
Training Epoch: 5 [1792/48750]	Loss: 0.2174	LR: 0.004000
Training Epoch: 5 [2048/48750]	Loss: 0.2889	LR: 0.004000
Training Epoch: 5 [2304/48750]	Loss: 0.2474	LR: 0.004000
Training Epoch: 5 [2560/48750]	Loss: 0.2934	LR: 0.004000
Training Epoch: 5 [2816/48750]	Loss: 0.2318	LR: 0.004000
Training Epoch: 5 [3072/48750]	Loss: 0.2270	LR: 0.004000
Training Epoch: 5 [3328/48750]	Loss: 0.2572	LR: 0.004000
Training Epoch: 5 [3584/48750]	Loss: 0.2674	LR: 0.004000
Training Epoch: 5 [3840/48750]	Loss: 0.2241	LR: 0.004000
Training Epoch: 5 [4096/48750]	Loss: 0.2488	LR: 0.004000
Training Epoch: 5 [4352/48750]	Loss: 0.2709	LR: 0.004000
Training Epoch: 5 [4608/48750]	Loss: 0.2794	LR: 0.004000
Training Epoch: 5 [4864/48750]	Loss: 0.2739	LR: 0.004000
Training Epoch: 5 [5120/48750]	Loss: 0.2008	LR: 0.004000
Training Epoch: 5 [5376/48750]	Loss: 0.2845	LR: 0.004000
Training Epoch: 5 [5632/48750]	Loss: 0.2747	LR: 0.004000
Training Epoch: 5 [5888/48750]	Loss: 0.2631	LR: 0.004000
Training Epoch: 5 [6144/48750]	Loss: 0.2794	LR: 0.004000
Training Epoch: 5 [6400/48750]	Loss: 0.2743	LR: 0.004000
Training Epoch: 5 [6656/48750]	Loss: 0.2589	LR: 0.004000
Training Epoch: 5 [6912/48750]	Loss: 0.2604	LR: 0.004000
Training Epoch: 5 [7168/48750]	Loss: 0.2316	LR: 0.004000
Training Epoch: 5 [7424/48750]	Loss: 0.2129	LR: 0.004000
Training Epoch: 5 [7680/48750]	Loss: 0.2261	LR: 0.004000
Training Epoch: 5 [7936/48750]	Loss: 0.2377	LR: 0.004000
Training Epoch: 5 [8192/48750]	Loss: 0.2496	LR: 0.004000
Training Epoch: 5 [8448/48750]	Loss: 0.2429	LR: 0.004000
Training Epoch: 5 [8704/48750]	Loss: 0.3041	LR: 0.004000
Training Epoch: 5 [8960/48750]	Loss: 0.2188	LR: 0.004000
Training Epoch: 5 [9216/48750]	Loss: 0.2554	LR: 0.004000
Training Epoch: 5 [9472/48750]	Loss: 0.2548	LR: 0.004000
Training Epoch: 5 [9728/48750]	Loss: 0.2770	LR: 0.004000
Training Epoch: 5 [9984/48750]	Loss: 0.2117	LR: 0.004000
Training Epoch: 5 [10240/48750]	Loss: 0.2255	LR: 0.004000
Training Epoch: 5 [10496/48750]	Loss: 0.2097	LR: 0.004000
Training Epoch: 5 [10752/48750]	Loss: 0.2002	LR: 0.004000
Training Epoch: 5 [11008/48750]	Loss: 0.1815	LR: 0.004000
Training Epoch: 5 [11264/48750]	Loss: 0.1843	LR: 0.004000
Training Epoch: 5 [11520/48750]	Loss: 0.2471	LR: 0.004000
Training Epoch: 5 [11776/48750]	Loss: 0.1614	LR: 0.004000
Training Epoch: 5 [12032/48750]	Loss: 0.2019	LR: 0.004000
Training Epoch: 5 [12288/48750]	Loss: 0.2514	LR: 0.004000
Training Epoch: 5 [12544/48750]	Loss: 0.2167	LR: 0.004000
Training Epoch: 5 [12800/48750]	Loss: 0.1913	LR: 0.004000
Training Epoch: 5 [13056/48750]	Loss: 0.1662	LR: 0.004000
Training Epoch: 5 [13312/48750]	Loss: 0.2296	LR: 0.004000
Training Epoch: 5 [13568/48750]	Loss: 0.2736	LR: 0.004000
Training Epoch: 5 [13824/48750]	Loss: 0.2288	LR: 0.004000
Training Epoch: 5 [14080/48750]	Loss: 0.2107	LR: 0.004000
Training Epoch: 5 [14336/48750]	Loss: 0.2314	LR: 0.004000
Training Epoch: 5 [14592/48750]	Loss: 0.1918	LR: 0.004000
Training Epoch: 5 [14848/48750]	Loss: 0.1968	LR: 0.004000
Training Epoch: 5 [15104/48750]	Loss: 0.1699	LR: 0.004000
Training Epoch: 5 [15360/48750]	Loss: 0.2232	LR: 0.004000
Training Epoch: 5 [15616/48750]	Loss: 0.2563	LR: 0.004000
Training Epoch: 5 [15872/48750]	Loss: 0.2516	LR: 0.004000
Training Epoch: 5 [16128/48750]	Loss: 0.2167	LR: 0.004000
Training Epoch: 5 [16384/48750]	Loss: 0.2236	LR: 0.004000
Training Epoch: 5 [16640/48750]	Loss: 0.2226	LR: 0.004000
Training Epoch: 5 [16896/48750]	Loss: 0.2511	LR: 0.004000
Training Epoch: 5 [17152/48750]	Loss: 0.2134	LR: 0.004000
Training Epoch: 5 [17408/48750]	Loss: 0.2259	LR: 0.004000
Training Epoch: 5 [17664/48750]	Loss: 0.1842	LR: 0.004000
Training Epoch: 5 [17920/48750]	Loss: 0.2027	LR: 0.004000
Training Epoch: 5 [18176/48750]	Loss: 0.2179	LR: 0.004000
Training Epoch: 5 [18432/48750]	Loss: 0.2247	LR: 0.004000
Training Epoch: 5 [18688/48750]	Loss: 0.1549	LR: 0.004000
Training Epoch: 5 [18944/48750]	Loss: 0.2319	LR: 0.004000
Training Epoch: 5 [19200/48750]	Loss: 0.2050	LR: 0.004000
Training Epoch: 5 [19456/48750]	Loss: 0.2120	LR: 0.004000
Training Epoch: 5 [19712/48750]	Loss: 0.2207	LR: 0.004000
Training Epoch: 5 [19968/48750]	Loss: 0.2117	LR: 0.004000
Training Epoch: 5 [20224/48750]	Loss: 0.2543	LR: 0.004000
Training Epoch: 5 [20480/48750]	Loss: 0.1810	LR: 0.004000
Training Epoch: 5 [20736/48750]	Loss: 0.2322	LR: 0.004000
Training Epoch: 5 [20992/48750]	Loss: 0.1761	LR: 0.004000
Training Epoch: 5 [21248/48750]	Loss: 0.1795	LR: 0.004000
Training Epoch: 5 [21504/48750]	Loss: 0.2019	LR: 0.004000
Training Epoch: 5 [21760/48750]	Loss: 0.1757	LR: 0.004000
Training Epoch: 5 [22016/48750]	Loss: 0.1649	LR: 0.004000
Training Epoch: 5 [22272/48750]	Loss: 0.2237	LR: 0.004000
Training Epoch: 5 [22528/48750]	Loss: 0.1937	LR: 0.004000
Training Epoch: 5 [22784/48750]	Loss: 0.2153	LR: 0.004000
Training Epoch: 5 [23040/48750]	Loss: 0.1753	LR: 0.004000
Training Epoch: 5 [23296/48750]	Loss: 0.1855	LR: 0.004000
Training Epoch: 5 [23552/48750]	Loss: 0.1678	LR: 0.004000
Training Epoch: 5 [23808/48750]	Loss: 0.2415	LR: 0.004000
Training Epoch: 5 [24064/48750]	Loss: 0.1481	LR: 0.004000
Training Epoch: 5 [24320/48750]	Loss: 0.1753	LR: 0.004000
Training Epoch: 5 [24576/48750]	Loss: 0.1801	LR: 0.004000
Training Epoch: 5 [24832/48750]	Loss: 0.1871	LR: 0.004000
Training Epoch: 5 [25088/48750]	Loss: 0.1867	LR: 0.004000
Training Epoch: 5 [25344/48750]	Loss: 0.2794	LR: 0.004000
Training Epoch: 5 [25600/48750]	Loss: 0.1325	LR: 0.004000
Training Epoch: 5 [25856/48750]	Loss: 0.2422	LR: 0.004000
Training Epoch: 5 [26112/48750]	Loss: 0.2282	LR: 0.004000
Training Epoch: 5 [26368/48750]	Loss: 0.2137	LR: 0.004000
Training Epoch: 5 [26624/48750]	Loss: 0.1745	LR: 0.004000
Training Epoch: 5 [26880/48750]	Loss: 0.2123	LR: 0.004000
Training Epoch: 5 [27136/48750]	Loss: 0.1879	LR: 0.004000
Training Epoch: 5 [27392/48750]	Loss: 0.1403	LR: 0.004000
Training Epoch: 5 [27648/48750]	Loss: 0.1994	LR: 0.004000
Training Epoch: 5 [27904/48750]	Loss: 0.2425	LR: 0.004000
Training Epoch: 5 [28160/48750]	Loss: 0.2458	LR: 0.004000
Training Epoch: 5 [28416/48750]	Loss: 0.1870	LR: 0.004000
Training Epoch: 5 [28672/48750]	Loss: 0.2059	LR: 0.004000
Training Epoch: 5 [28928/48750]	Loss: 0.1867	LR: 0.004000
Training Epoch: 5 [29184/48750]	Loss: 0.1875	LR: 0.004000
Training Epoch: 5 [29440/48750]	Loss: 0.2128	LR: 0.004000
Training Epoch: 5 [29696/48750]	Loss: 0.1624	LR: 0.004000
Training Epoch: 5 [29952/48750]	Loss: 0.2218	LR: 0.004000
Training Epoch: 5 [30208/48750]	Loss: 0.1369	LR: 0.004000
Training Epoch: 5 [30464/48750]	Loss: 0.2158	LR: 0.004000
Training Epoch: 5 [30720/48750]	Loss: 0.1725	LR: 0.004000
Training Epoch: 5 [30976/48750]	Loss: 0.2082	LR: 0.004000
Training Epoch: 5 [31232/48750]	Loss: 0.1725	LR: 0.004000
Training Epoch: 5 [31488/48750]	Loss: 0.2032	LR: 0.004000
Training Epoch: 5 [31744/48750]	Loss: 0.2304	LR: 0.004000
Training Epoch: 5 [32000/48750]	Loss: 0.1170	LR: 0.004000
Training Epoch: 5 [32256/48750]	Loss: 0.1384	LR: 0.004000
Training Epoch: 5 [32512/48750]	Loss: 0.2072	LR: 0.004000
Training Epoch: 5 [32768/48750]	Loss: 0.2051	LR: 0.004000
Training Epoch: 5 [33024/48750]	Loss: 0.1497	LR: 0.004000
Training Epoch: 5 [33280/48750]	Loss: 0.1606	LR: 0.004000
Training Epoch: 5 [33536/48750]	Loss: 0.1980	LR: 0.004000
Training Epoch: 5 [33792/48750]	Loss: 0.1407	LR: 0.004000
Training Epoch: 5 [34048/48750]	Loss: 0.1760	LR: 0.004000
Training Epoch: 5 [34304/48750]	Loss: 0.1809	LR: 0.004000
Training Epoch: 5 [34560/48750]	Loss: 0.1470	LR: 0.004000
Training Epoch: 5 [34816/48750]	Loss: 0.1765	LR: 0.004000
Training Epoch: 5 [35072/48750]	Loss: 0.2340	LR: 0.004000
Training Epoch: 5 [35328/48750]	Loss: 0.2287	LR: 0.004000
Training Epoch: 5 [35584/48750]	Loss: 0.2076	LR: 0.004000
Training Epoch: 5 [35840/48750]	Loss: 0.1833	LR: 0.004000
Training Epoch: 5 [36096/48750]	Loss: 0.1296	LR: 0.004000
Training Epoch: 5 [36352/48750]	Loss: 0.1500	LR: 0.004000
Training Epoch: 5 [36608/48750]	Loss: 0.1781	LR: 0.004000
Training Epoch: 5 [36864/48750]	Loss: 0.2783	LR: 0.004000
Training Epoch: 5 [37120/48750]	Loss: 0.2013	LR: 0.004000
Training Epoch: 5 [37376/48750]	Loss: 0.1399	LR: 0.004000
Training Epoch: 5 [37632/48750]	Loss: 0.1531	LR: 0.004000
Training Epoch: 5 [37888/48750]	Loss: 0.1203	LR: 0.004000
Training Epoch: 5 [38144/48750]	Loss: 0.1708	LR: 0.004000
Training Epoch: 5 [38400/48750]	Loss: 0.1761	LR: 0.004000
Training Epoch: 5 [38656/48750]	Loss: 0.2113	LR: 0.004000
Training Epoch: 5 [38912/48750]	Loss: 0.2399	LR: 0.004000
Training Epoch: 5 [39168/48750]	Loss: 0.2414	LR: 0.004000
Training Epoch: 5 [39424/48750]	Loss: 0.1574	LR: 0.004000
Training Epoch: 5 [39680/48750]	Loss: 0.2029	LR: 0.004000
Training Epoch: 5 [39936/48750]	Loss: 0.1702	LR: 0.004000
Training Epoch: 5 [40192/48750]	Loss: 0.1546	LR: 0.004000
Training Epoch: 5 [40448/48750]	Loss: 0.1831	LR: 0.004000
Training Epoch: 5 [40704/48750]	Loss: 0.1935	LR: 0.004000
Training Epoch: 5 [40960/48750]	Loss: 0.1804	LR: 0.004000
Training Epoch: 5 [41216/48750]	Loss: 0.1332	LR: 0.004000
Training Epoch: 5 [41472/48750]	Loss: 0.1860	LR: 0.004000
Training Epoch: 5 [41728/48750]	Loss: 0.1710	LR: 0.004000
Training Epoch: 5 [41984/48750]	Loss: 0.2029	LR: 0.004000
Training Epoch: 5 [42240/48750]	Loss: 0.2221	LR: 0.004000
Training Epoch: 5 [42496/48750]	Loss: 0.1794	LR: 0.004000
Training Epoch: 5 [42752/48750]	Loss: 0.1932	LR: 0.004000
Training Epoch: 5 [43008/48750]	Loss: 0.1874	LR: 0.004000
Training Epoch: 5 [43264/48750]	Loss: 0.2085	LR: 0.004000
Training Epoch: 5 [43520/48750]	Loss: 0.2024	LR: 0.004000
Training Epoch: 5 [43776/48750]	Loss: 0.2382	LR: 0.004000
Training Epoch: 5 [44032/48750]	Loss: 0.1815	LR: 0.004000
Training Epoch: 5 [44288/48750]	Loss: 0.1693	LR: 0.004000
Training Epoch: 5 [44544/48750]	Loss: 0.1987	LR: 0.004000
Training Epoch: 5 [44800/48750]	Loss: 0.1804	LR: 0.004000
Training Epoch: 5 [45056/48750]	Loss: 0.2068	LR: 0.004000
Training Epoch: 5 [45312/48750]	Loss: 0.1483	LR: 0.004000
Training Epoch: 5 [45568/48750]	Loss: 0.1793	LR: 0.004000
Training Epoch: 5 [45824/48750]	Loss: 0.1971	LR: 0.004000
Training Epoch: 5 [46080/48750]	Loss: 0.1959	LR: 0.004000
Training Epoch: 5 [46336/48750]	Loss: 0.2526	LR: 0.004000
Training Epoch: 5 [46592/48750]	Loss: 0.1222	LR: 0.004000
Training Epoch: 5 [46848/48750]	Loss: 0.1907	LR: 0.004000
Training Epoch: 5 [47104/48750]	Loss: 0.2168	LR: 0.004000
Training Epoch: 5 [47360/48750]	Loss: 0.1460	LR: 0.004000
Training Epoch: 5 [47616/48750]	Loss: 0.1700	LR: 0.004000
Training Epoch: 5 [47872/48750]	Loss: 0.1399	LR: 0.004000
Training Epoch: 5 [48128/48750]	Loss: 0.1612	LR: 0.004000
Training Epoch: 5 [48384/48750]	Loss: 0.1566	LR: 0.004000
Training Epoch: 5 [48640/48750]	Loss: 0.1309	LR: 0.004000
Training Epoch: 5 [48750/48750]	Loss: 0.1839	LR: 0.004000
Epoch 5 - Average Train Loss: 0.2095, Train Accuracy: 0.9350
Epoch 5 training time consumed: 19.25s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0022, Accuracy: 0.8207, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_52m_34s/ResNet18-Cifar10-seed8-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.1071	LR: 0.004000
Training Epoch: 6 [512/48750]	Loss: 0.0855	LR: 0.004000
Training Epoch: 6 [768/48750]	Loss: 0.0978	LR: 0.004000
Training Epoch: 6 [1024/48750]	Loss: 0.1263	LR: 0.004000
Training Epoch: 6 [1280/48750]	Loss: 0.1198	LR: 0.004000
Training Epoch: 6 [1536/48750]	Loss: 0.1275	LR: 0.004000
Training Epoch: 6 [1792/48750]	Loss: 0.1534	LR: 0.004000
Training Epoch: 6 [2048/48750]	Loss: 0.0969	LR: 0.004000
Training Epoch: 6 [2304/48750]	Loss: 0.1302	LR: 0.004000
Training Epoch: 6 [2560/48750]	Loss: 0.1304	LR: 0.004000
Training Epoch: 6 [2816/48750]	Loss: 0.1495	LR: 0.004000
Training Epoch: 6 [3072/48750]	Loss: 0.1010	LR: 0.004000
Training Epoch: 6 [3328/48750]	Loss: 0.1076	LR: 0.004000
Training Epoch: 6 [3584/48750]	Loss: 0.0771	LR: 0.004000
Training Epoch: 6 [3840/48750]	Loss: 0.1072	LR: 0.004000
Training Epoch: 6 [4096/48750]	Loss: 0.1078	LR: 0.004000
Training Epoch: 6 [4352/48750]	Loss: 0.1625	LR: 0.004000
Training Epoch: 6 [4608/48750]	Loss: 0.1427	LR: 0.004000
Training Epoch: 6 [4864/48750]	Loss: 0.1191	LR: 0.004000
Training Epoch: 6 [5120/48750]	Loss: 0.0987	LR: 0.004000
Training Epoch: 6 [5376/48750]	Loss: 0.1970	LR: 0.004000
Training Epoch: 6 [5632/48750]	Loss: 0.1359	LR: 0.004000
Training Epoch: 6 [5888/48750]	Loss: 0.1278	LR: 0.004000
Training Epoch: 6 [6144/48750]	Loss: 0.1200	LR: 0.004000
Training Epoch: 6 [6400/48750]	Loss: 0.1011	LR: 0.004000
Training Epoch: 6 [6656/48750]	Loss: 0.1538	LR: 0.004000
Training Epoch: 6 [6912/48750]	Loss: 0.1210	LR: 0.004000
Training Epoch: 6 [7168/48750]	Loss: 0.1423	LR: 0.004000
Training Epoch: 6 [7424/48750]	Loss: 0.1416	LR: 0.004000
Training Epoch: 6 [7680/48750]	Loss: 0.1030	LR: 0.004000
Training Epoch: 6 [7936/48750]	Loss: 0.1370	LR: 0.004000
Training Epoch: 6 [8192/48750]	Loss: 0.1284	LR: 0.004000
Training Epoch: 6 [8448/48750]	Loss: 0.0909	LR: 0.004000
Training Epoch: 6 [8704/48750]	Loss: 0.1263	LR: 0.004000
Training Epoch: 6 [8960/48750]	Loss: 0.1416	LR: 0.004000
Training Epoch: 6 [9216/48750]	Loss: 0.1168	LR: 0.004000
Training Epoch: 6 [9472/48750]	Loss: 0.0918	LR: 0.004000
Training Epoch: 6 [9728/48750]	Loss: 0.1175	LR: 0.004000
Training Epoch: 6 [9984/48750]	Loss: 0.0927	LR: 0.004000
Training Epoch: 6 [10240/48750]	Loss: 0.1411	LR: 0.004000
Training Epoch: 6 [10496/48750]	Loss: 0.1600	LR: 0.004000
Training Epoch: 6 [10752/48750]	Loss: 0.1018	LR: 0.004000
Training Epoch: 6 [11008/48750]	Loss: 0.1062	LR: 0.004000
Training Epoch: 6 [11264/48750]	Loss: 0.1258	LR: 0.004000
Training Epoch: 6 [11520/48750]	Loss: 0.0834	LR: 0.004000
Training Epoch: 6 [11776/48750]	Loss: 0.1310	LR: 0.004000
Training Epoch: 6 [12032/48750]	Loss: 0.1203	LR: 0.004000
Training Epoch: 6 [12288/48750]	Loss: 0.0958	LR: 0.004000
Training Epoch: 6 [12544/48750]	Loss: 0.0918	LR: 0.004000
Training Epoch: 6 [12800/48750]	Loss: 0.1145	LR: 0.004000
Training Epoch: 6 [13056/48750]	Loss: 0.0838	LR: 0.004000
Training Epoch: 6 [13312/48750]	Loss: 0.1468	LR: 0.004000
Training Epoch: 6 [13568/48750]	Loss: 0.1532	LR: 0.004000
Training Epoch: 6 [13824/48750]	Loss: 0.0984	LR: 0.004000
Training Epoch: 6 [14080/48750]	Loss: 0.1329	LR: 0.004000
Training Epoch: 6 [14336/48750]	Loss: 0.1273	LR: 0.004000
Training Epoch: 6 [14592/48750]	Loss: 0.1122	LR: 0.004000
Training Epoch: 6 [14848/48750]	Loss: 0.1320	LR: 0.004000
Training Epoch: 6 [15104/48750]	Loss: 0.1464	LR: 0.004000
Training Epoch: 6 [15360/48750]	Loss: 0.0847	LR: 0.004000
Training Epoch: 6 [15616/48750]	Loss: 0.1410	LR: 0.004000
Training Epoch: 6 [15872/48750]	Loss: 0.1543	LR: 0.004000
Training Epoch: 6 [16128/48750]	Loss: 0.1045	LR: 0.004000
Training Epoch: 6 [16384/48750]	Loss: 0.1028	LR: 0.004000
Training Epoch: 6 [16640/48750]	Loss: 0.1013	LR: 0.004000
Training Epoch: 6 [16896/48750]	Loss: 0.1647	LR: 0.004000
Training Epoch: 6 [17152/48750]	Loss: 0.0810	LR: 0.004000
Training Epoch: 6 [17408/48750]	Loss: 0.1167	LR: 0.004000
Training Epoch: 6 [17664/48750]	Loss: 0.1053	LR: 0.004000
Training Epoch: 6 [17920/48750]	Loss: 0.1099	LR: 0.004000
Training Epoch: 6 [18176/48750]	Loss: 0.1385	LR: 0.004000
Training Epoch: 6 [18432/48750]	Loss: 0.1423	LR: 0.004000
Training Epoch: 6 [18688/48750]	Loss: 0.1197	LR: 0.004000
Training Epoch: 6 [18944/48750]	Loss: 0.1139	LR: 0.004000
Training Epoch: 6 [19200/48750]	Loss: 0.0934	LR: 0.004000
Training Epoch: 6 [19456/48750]	Loss: 0.1021	LR: 0.004000
Training Epoch: 6 [19712/48750]	Loss: 0.0946	LR: 0.004000
Training Epoch: 6 [19968/48750]	Loss: 0.1213	LR: 0.004000
Training Epoch: 6 [20224/48750]	Loss: 0.1467	LR: 0.004000
Training Epoch: 6 [20480/48750]	Loss: 0.1057	LR: 0.004000
Training Epoch: 6 [20736/48750]	Loss: 0.1261	LR: 0.004000
Training Epoch: 6 [20992/48750]	Loss: 0.1212	LR: 0.004000
Training Epoch: 6 [21248/48750]	Loss: 0.1143	LR: 0.004000
Training Epoch: 6 [21504/48750]	Loss: 0.1460	LR: 0.004000
Training Epoch: 6 [21760/48750]	Loss: 0.0826	LR: 0.004000
Training Epoch: 6 [22016/48750]	Loss: 0.1093	LR: 0.004000
Training Epoch: 6 [22272/48750]	Loss: 0.1569	LR: 0.004000
Training Epoch: 6 [22528/48750]	Loss: 0.0966	LR: 0.004000
Training Epoch: 6 [22784/48750]	Loss: 0.1211	LR: 0.004000
Training Epoch: 6 [23040/48750]	Loss: 0.1102	LR: 0.004000
Training Epoch: 6 [23296/48750]	Loss: 0.1545	LR: 0.004000
Training Epoch: 6 [23552/48750]	Loss: 0.0935	LR: 0.004000
Training Epoch: 6 [23808/48750]	Loss: 0.1739	LR: 0.004000
Training Epoch: 6 [24064/48750]	Loss: 0.0931	LR: 0.004000
Training Epoch: 6 [24320/48750]	Loss: 0.1033	LR: 0.004000
Training Epoch: 6 [24576/48750]	Loss: 0.1762	LR: 0.004000
Training Epoch: 6 [24832/48750]	Loss: 0.1176	LR: 0.004000
Training Epoch: 6 [25088/48750]	Loss: 0.0986	LR: 0.004000
Training Epoch: 6 [25344/48750]	Loss: 0.1715	LR: 0.004000
Training Epoch: 6 [25600/48750]	Loss: 0.1354	LR: 0.004000
Training Epoch: 6 [25856/48750]	Loss: 0.0865	LR: 0.004000
Training Epoch: 6 [26112/48750]	Loss: 0.1168	LR: 0.004000
Training Epoch: 6 [26368/48750]	Loss: 0.1292	LR: 0.004000
Training Epoch: 6 [26624/48750]	Loss: 0.0985	LR: 0.004000
Training Epoch: 6 [26880/48750]	Loss: 0.1185	LR: 0.004000
Training Epoch: 6 [27136/48750]	Loss: 0.1167	LR: 0.004000
Training Epoch: 6 [27392/48750]	Loss: 0.1342	LR: 0.004000
Training Epoch: 6 [27648/48750]	Loss: 0.0878	LR: 0.004000
Training Epoch: 6 [27904/48750]	Loss: 0.1294	LR: 0.004000
Training Epoch: 6 [28160/48750]	Loss: 0.0987	LR: 0.004000
Training Epoch: 6 [28416/48750]	Loss: 0.1367	LR: 0.004000
Training Epoch: 6 [28672/48750]	Loss: 0.1272	LR: 0.004000
Training Epoch: 6 [28928/48750]	Loss: 0.1216	LR: 0.004000
Training Epoch: 6 [29184/48750]	Loss: 0.1402	LR: 0.004000
Training Epoch: 6 [29440/48750]	Loss: 0.1025	LR: 0.004000
Training Epoch: 6 [29696/48750]	Loss: 0.0893	LR: 0.004000
Training Epoch: 6 [29952/48750]	Loss: 0.1359	LR: 0.004000
Training Epoch: 6 [30208/48750]	Loss: 0.1214	LR: 0.004000
Training Epoch: 6 [30464/48750]	Loss: 0.1398	LR: 0.004000
Training Epoch: 6 [30720/48750]	Loss: 0.1200	LR: 0.004000
Training Epoch: 6 [30976/48750]	Loss: 0.1417	LR: 0.004000
Training Epoch: 6 [31232/48750]	Loss: 0.1028	LR: 0.004000
Training Epoch: 6 [31488/48750]	Loss: 0.1017	LR: 0.004000
Training Epoch: 6 [31744/48750]	Loss: 0.0853	LR: 0.004000
Training Epoch: 6 [32000/48750]	Loss: 0.1338	LR: 0.004000
Training Epoch: 6 [32256/48750]	Loss: 0.1442	LR: 0.004000
Training Epoch: 6 [32512/48750]	Loss: 0.1188	LR: 0.004000
Training Epoch: 6 [32768/48750]	Loss: 0.1304	LR: 0.004000
Training Epoch: 6 [33024/48750]	Loss: 0.1158	LR: 0.004000
Training Epoch: 6 [33280/48750]	Loss: 0.1289	LR: 0.004000
Training Epoch: 6 [33536/48750]	Loss: 0.1254	LR: 0.004000
Training Epoch: 6 [33792/48750]	Loss: 0.1145	LR: 0.004000
Training Epoch: 6 [34048/48750]	Loss: 0.1199	LR: 0.004000
Training Epoch: 6 [34304/48750]	Loss: 0.1525	LR: 0.004000
Training Epoch: 6 [34560/48750]	Loss: 0.1146	LR: 0.004000
Training Epoch: 6 [34816/48750]	Loss: 0.0770	LR: 0.004000
Training Epoch: 6 [35072/48750]	Loss: 0.1041	LR: 0.004000
Training Epoch: 6 [35328/48750]	Loss: 0.1191	LR: 0.004000
Training Epoch: 6 [35584/48750]	Loss: 0.1188	LR: 0.004000
Training Epoch: 6 [35840/48750]	Loss: 0.1408	LR: 0.004000
Training Epoch: 6 [36096/48750]	Loss: 0.1172	LR: 0.004000
Training Epoch: 6 [36352/48750]	Loss: 0.1022	LR: 0.004000
Training Epoch: 6 [36608/48750]	Loss: 0.0989	LR: 0.004000
Training Epoch: 6 [36864/48750]	Loss: 0.1113	LR: 0.004000
Training Epoch: 6 [37120/48750]	Loss: 0.1320	LR: 0.004000
Training Epoch: 6 [37376/48750]	Loss: 0.1060	LR: 0.004000
Training Epoch: 6 [37632/48750]	Loss: 0.1100	LR: 0.004000
Training Epoch: 6 [37888/48750]	Loss: 0.0815	LR: 0.004000
Training Epoch: 6 [38144/48750]	Loss: 0.1116	LR: 0.004000
Training Epoch: 6 [38400/48750]	Loss: 0.1446	LR: 0.004000
Training Epoch: 6 [38656/48750]	Loss: 0.1202	LR: 0.004000
Training Epoch: 6 [38912/48750]	Loss: 0.0805	LR: 0.004000
Training Epoch: 6 [39168/48750]	Loss: 0.1363	LR: 0.004000
Training Epoch: 6 [39424/48750]	Loss: 0.1139	LR: 0.004000
Training Epoch: 6 [39680/48750]	Loss: 0.0993	LR: 0.004000
Training Epoch: 6 [39936/48750]	Loss: 0.0930	LR: 0.004000
Training Epoch: 6 [40192/48750]	Loss: 0.1171	LR: 0.004000
Training Epoch: 6 [40448/48750]	Loss: 0.1047	LR: 0.004000
Training Epoch: 6 [40704/48750]	Loss: 0.0856	LR: 0.004000
Training Epoch: 6 [40960/48750]	Loss: 0.0993	LR: 0.004000
Training Epoch: 6 [41216/48750]	Loss: 0.1056	LR: 0.004000
Training Epoch: 6 [41472/48750]	Loss: 0.0973	LR: 0.004000
Training Epoch: 6 [41728/48750]	Loss: 0.0892	LR: 0.004000
Training Epoch: 6 [41984/48750]	Loss: 0.1354	LR: 0.004000
Training Epoch: 6 [42240/48750]	Loss: 0.0910	LR: 0.004000
Training Epoch: 6 [42496/48750]	Loss: 0.1082	LR: 0.004000
Training Epoch: 6 [42752/48750]	Loss: 0.1193	LR: 0.004000
Training Epoch: 6 [43008/48750]	Loss: 0.1037	LR: 0.004000
Training Epoch: 6 [43264/48750]	Loss: 0.0838	LR: 0.004000
Training Epoch: 6 [43520/48750]	Loss: 0.0887	LR: 0.004000
Training Epoch: 6 [43776/48750]	Loss: 0.1771	LR: 0.004000
Training Epoch: 6 [44032/48750]	Loss: 0.0951	LR: 0.004000
Training Epoch: 6 [44288/48750]	Loss: 0.1459	LR: 0.004000
Training Epoch: 6 [44544/48750]	Loss: 0.1383	LR: 0.004000
Training Epoch: 6 [44800/48750]	Loss: 0.0815	LR: 0.004000
Training Epoch: 6 [45056/48750]	Loss: 0.1115	LR: 0.004000
Training Epoch: 6 [45312/48750]	Loss: 0.0947	LR: 0.004000
Training Epoch: 6 [45568/48750]	Loss: 0.0967	LR: 0.004000
Training Epoch: 6 [45824/48750]	Loss: 0.1261	LR: 0.004000
Training Epoch: 6 [46080/48750]	Loss: 0.1127	LR: 0.004000
Training Epoch: 6 [46336/48750]	Loss: 0.0737	LR: 0.004000
Training Epoch: 6 [46592/48750]	Loss: 0.1408	LR: 0.004000
Training Epoch: 6 [46848/48750]	Loss: 0.1126	LR: 0.004000
Training Epoch: 6 [47104/48750]	Loss: 0.1071	LR: 0.004000
Training Epoch: 6 [47360/48750]	Loss: 0.1124	LR: 0.004000
Training Epoch: 6 [47616/48750]	Loss: 0.1534	LR: 0.004000
Training Epoch: 6 [47872/48750]	Loss: 0.0817	LR: 0.004000
Training Epoch: 6 [48128/48750]	Loss: 0.0792	LR: 0.004000
Training Epoch: 6 [48384/48750]	Loss: 0.0946	LR: 0.004000
Training Epoch: 6 [48640/48750]	Loss: 0.1031	LR: 0.004000
Training Epoch: 6 [48750/48750]	Loss: 0.0816	LR: 0.004000
Epoch 6 - Average Train Loss: 0.1170, Train Accuracy: 0.9666
Epoch 6 training time consumed: 19.07s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0025, Accuracy: 0.8142, Time consumed:0.97s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_52m_34s/ResNet18-Cifar10-seed8-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.0730	LR: 0.004000
Training Epoch: 7 [512/48750]	Loss: 0.0575	LR: 0.004000
Training Epoch: 7 [768/48750]	Loss: 0.0547	LR: 0.004000
Training Epoch: 7 [1024/48750]	Loss: 0.0576	LR: 0.004000
Training Epoch: 7 [1280/48750]	Loss: 0.0712	LR: 0.004000
Training Epoch: 7 [1536/48750]	Loss: 0.0756	LR: 0.004000
Training Epoch: 7 [1792/48750]	Loss: 0.0641	LR: 0.004000
Training Epoch: 7 [2048/48750]	Loss: 0.0800	LR: 0.004000
Training Epoch: 7 [2304/48750]	Loss: 0.0667	LR: 0.004000
Training Epoch: 7 [2560/48750]	Loss: 0.0643	LR: 0.004000
Training Epoch: 7 [2816/48750]	Loss: 0.0470	LR: 0.004000
Training Epoch: 7 [3072/48750]	Loss: 0.0702	LR: 0.004000
Training Epoch: 7 [3328/48750]	Loss: 0.0727	LR: 0.004000
Training Epoch: 7 [3584/48750]	Loss: 0.0731	LR: 0.004000
Training Epoch: 7 [3840/48750]	Loss: 0.0547	LR: 0.004000
Training Epoch: 7 [4096/48750]	Loss: 0.0656	LR: 0.004000
Training Epoch: 7 [4352/48750]	Loss: 0.0531	LR: 0.004000
Training Epoch: 7 [4608/48750]	Loss: 0.0596	LR: 0.004000
Training Epoch: 7 [4864/48750]	Loss: 0.0540	LR: 0.004000
Training Epoch: 7 [5120/48750]	Loss: 0.0460	LR: 0.004000
Training Epoch: 7 [5376/48750]	Loss: 0.0524	LR: 0.004000
Training Epoch: 7 [5632/48750]	Loss: 0.0544	LR: 0.004000
Training Epoch: 7 [5888/48750]	Loss: 0.0627	LR: 0.004000
Training Epoch: 7 [6144/48750]	Loss: 0.0499	LR: 0.004000
Training Epoch: 7 [6400/48750]	Loss: 0.0583	LR: 0.004000
Training Epoch: 7 [6656/48750]	Loss: 0.0580	LR: 0.004000
Training Epoch: 7 [6912/48750]	Loss: 0.0418	LR: 0.004000
Training Epoch: 7 [7168/48750]	Loss: 0.0772	LR: 0.004000
Training Epoch: 7 [7424/48750]	Loss: 0.0500	LR: 0.004000
Training Epoch: 7 [7680/48750]	Loss: 0.0998	LR: 0.004000
Training Epoch: 7 [7936/48750]	Loss: 0.0536	LR: 0.004000
Training Epoch: 7 [8192/48750]	Loss: 0.0633	LR: 0.004000
Training Epoch: 7 [8448/48750]	Loss: 0.0493	LR: 0.004000
Training Epoch: 7 [8704/48750]	Loss: 0.0537	LR: 0.004000
Training Epoch: 7 [8960/48750]	Loss: 0.0447	LR: 0.004000
Training Epoch: 7 [9216/48750]	Loss: 0.0540	LR: 0.004000
Training Epoch: 7 [9472/48750]	Loss: 0.0811	LR: 0.004000
Training Epoch: 7 [9728/48750]	Loss: 0.0740	LR: 0.004000
Training Epoch: 7 [9984/48750]	Loss: 0.0561	LR: 0.004000
Training Epoch: 7 [10240/48750]	Loss: 0.0332	LR: 0.004000
Training Epoch: 7 [10496/48750]	Loss: 0.0571	LR: 0.004000
Training Epoch: 7 [10752/48750]	Loss: 0.0691	LR: 0.004000
Training Epoch: 7 [11008/48750]	Loss: 0.0640	LR: 0.004000
Training Epoch: 7 [11264/48750]	Loss: 0.0636	LR: 0.004000
Training Epoch: 7 [11520/48750]	Loss: 0.0564	LR: 0.004000
Training Epoch: 7 [11776/48750]	Loss: 0.0713	LR: 0.004000
Training Epoch: 7 [12032/48750]	Loss: 0.0585	LR: 0.004000
Training Epoch: 7 [12288/48750]	Loss: 0.0749	LR: 0.004000
Training Epoch: 7 [12544/48750]	Loss: 0.0545	LR: 0.004000
Training Epoch: 7 [12800/48750]	Loss: 0.0641	LR: 0.004000
Training Epoch: 7 [13056/48750]	Loss: 0.1097	LR: 0.004000
Training Epoch: 7 [13312/48750]	Loss: 0.0691	LR: 0.004000
Training Epoch: 7 [13568/48750]	Loss: 0.0492	LR: 0.004000
Training Epoch: 7 [13824/48750]	Loss: 0.0562	LR: 0.004000
Training Epoch: 7 [14080/48750]	Loss: 0.0671	LR: 0.004000
Training Epoch: 7 [14336/48750]	Loss: 0.0423	LR: 0.004000
Training Epoch: 7 [14592/48750]	Loss: 0.0486	LR: 0.004000
Training Epoch: 7 [14848/48750]	Loss: 0.0612	LR: 0.004000
Training Epoch: 7 [15104/48750]	Loss: 0.0525	LR: 0.004000
Training Epoch: 7 [15360/48750]	Loss: 0.0470	LR: 0.004000
Training Epoch: 7 [15616/48750]	Loss: 0.0589	LR: 0.004000
Training Epoch: 7 [15872/48750]	Loss: 0.0675	LR: 0.004000
Training Epoch: 7 [16128/48750]	Loss: 0.0448	LR: 0.004000
Training Epoch: 7 [16384/48750]	Loss: 0.0449	LR: 0.004000
Training Epoch: 7 [16640/48750]	Loss: 0.0749	LR: 0.004000
Training Epoch: 7 [16896/48750]	Loss: 0.0397	LR: 0.004000
Training Epoch: 7 [17152/48750]	Loss: 0.0434	LR: 0.004000
Training Epoch: 7 [17408/48750]	Loss: 0.0556	LR: 0.004000
Training Epoch: 7 [17664/48750]	Loss: 0.0565	LR: 0.004000
Training Epoch: 7 [17920/48750]	Loss: 0.0601	LR: 0.004000
Training Epoch: 7 [18176/48750]	Loss: 0.0821	LR: 0.004000
Training Epoch: 7 [18432/48750]	Loss: 0.0387	LR: 0.004000
Training Epoch: 7 [18688/48750]	Loss: 0.0381	LR: 0.004000
Training Epoch: 7 [18944/48750]	Loss: 0.0436	LR: 0.004000
Training Epoch: 7 [19200/48750]	Loss: 0.0664	LR: 0.004000
Training Epoch: 7 [19456/48750]	Loss: 0.0455	LR: 0.004000
Training Epoch: 7 [19712/48750]	Loss: 0.0496	LR: 0.004000
Training Epoch: 7 [19968/48750]	Loss: 0.0929	LR: 0.004000
Training Epoch: 7 [20224/48750]	Loss: 0.0743	LR: 0.004000
Training Epoch: 7 [20480/48750]	Loss: 0.0430	LR: 0.004000
Training Epoch: 7 [20736/48750]	Loss: 0.0376	LR: 0.004000
Training Epoch: 7 [20992/48750]	Loss: 0.0460	LR: 0.004000
Training Epoch: 7 [21248/48750]	Loss: 0.0547	LR: 0.004000
Training Epoch: 7 [21504/48750]	Loss: 0.0500	LR: 0.004000
Training Epoch: 7 [21760/48750]	Loss: 0.0547	LR: 0.004000
Training Epoch: 7 [22016/48750]	Loss: 0.0320	LR: 0.004000
Training Epoch: 7 [22272/48750]	Loss: 0.0570	LR: 0.004000
Training Epoch: 7 [22528/48750]	Loss: 0.0631	LR: 0.004000
Training Epoch: 7 [22784/48750]	Loss: 0.0429	LR: 0.004000
Training Epoch: 7 [23040/48750]	Loss: 0.0665	LR: 0.004000
Training Epoch: 7 [23296/48750]	Loss: 0.0642	LR: 0.004000
Training Epoch: 7 [23552/48750]	Loss: 0.0529	LR: 0.004000
Training Epoch: 7 [23808/48750]	Loss: 0.0360	LR: 0.004000
Training Epoch: 7 [24064/48750]	Loss: 0.0636	LR: 0.004000
Training Epoch: 7 [24320/48750]	Loss: 0.0481	LR: 0.004000
Training Epoch: 7 [24576/48750]	Loss: 0.0940	LR: 0.004000
Training Epoch: 7 [24832/48750]	Loss: 0.0532	LR: 0.004000
Training Epoch: 7 [25088/48750]	Loss: 0.0386	LR: 0.004000
Training Epoch: 7 [25344/48750]	Loss: 0.0601	LR: 0.004000
Training Epoch: 7 [25600/48750]	Loss: 0.1093	LR: 0.004000
Training Epoch: 7 [25856/48750]	Loss: 0.0518	LR: 0.004000
Training Epoch: 7 [26112/48750]	Loss: 0.0554	LR: 0.004000
Training Epoch: 7 [26368/48750]	Loss: 0.0545	LR: 0.004000
Training Epoch: 7 [26624/48750]	Loss: 0.0369	LR: 0.004000
Training Epoch: 7 [26880/48750]	Loss: 0.0439	LR: 0.004000
Training Epoch: 7 [27136/48750]	Loss: 0.0678	LR: 0.004000
Training Epoch: 7 [27392/48750]	Loss: 0.0641	LR: 0.004000
Training Epoch: 7 [27648/48750]	Loss: 0.0661	LR: 0.004000
Training Epoch: 7 [27904/48750]	Loss: 0.0702	LR: 0.004000
Training Epoch: 7 [28160/48750]	Loss: 0.0460	LR: 0.004000
Training Epoch: 7 [28416/48750]	Loss: 0.0846	LR: 0.004000
Training Epoch: 7 [28672/48750]	Loss: 0.0603	LR: 0.004000
Training Epoch: 7 [28928/48750]	Loss: 0.0573	LR: 0.004000
Training Epoch: 7 [29184/48750]	Loss: 0.0589	LR: 0.004000
Training Epoch: 7 [29440/48750]	Loss: 0.0733	LR: 0.004000
Training Epoch: 7 [29696/48750]	Loss: 0.0554	LR: 0.004000
Training Epoch: 7 [29952/48750]	Loss: 0.0451	LR: 0.004000
Training Epoch: 7 [30208/48750]	Loss: 0.0700	LR: 0.004000
Training Epoch: 7 [30464/48750]	Loss: 0.0635	LR: 0.004000
Training Epoch: 7 [30720/48750]	Loss: 0.0874	LR: 0.004000
Training Epoch: 7 [30976/48750]	Loss: 0.0529	LR: 0.004000
Training Epoch: 7 [31232/48750]	Loss: 0.0753	LR: 0.004000
Training Epoch: 7 [31488/48750]	Loss: 0.0606	LR: 0.004000
Training Epoch: 7 [31744/48750]	Loss: 0.0410	LR: 0.004000
Training Epoch: 7 [32000/48750]	Loss: 0.0580	LR: 0.004000
Training Epoch: 7 [32256/48750]	Loss: 0.0597	LR: 0.004000
Training Epoch: 7 [32512/48750]	Loss: 0.0622	LR: 0.004000
Training Epoch: 7 [32768/48750]	Loss: 0.0515	LR: 0.004000
Training Epoch: 7 [33024/48750]	Loss: 0.0493	LR: 0.004000
Training Epoch: 7 [33280/48750]	Loss: 0.0504	LR: 0.004000
Training Epoch: 7 [33536/48750]	Loss: 0.0467	LR: 0.004000
Training Epoch: 7 [33792/48750]	Loss: 0.0695	LR: 0.004000
Training Epoch: 7 [34048/48750]	Loss: 0.0787	LR: 0.004000
Training Epoch: 7 [34304/48750]	Loss: 0.0451	LR: 0.004000
Training Epoch: 7 [34560/48750]	Loss: 0.0549	LR: 0.004000
Training Epoch: 7 [34816/48750]	Loss: 0.0583	LR: 0.004000
Training Epoch: 7 [35072/48750]	Loss: 0.0606	LR: 0.004000
Training Epoch: 7 [35328/48750]	Loss: 0.0750	LR: 0.004000
Training Epoch: 7 [35584/48750]	Loss: 0.0631	LR: 0.004000
Training Epoch: 7 [35840/48750]	Loss: 0.0474	LR: 0.004000
Training Epoch: 7 [36096/48750]	Loss: 0.0629	LR: 0.004000
Training Epoch: 7 [36352/48750]	Loss: 0.0647	LR: 0.004000
Training Epoch: 7 [36608/48750]	Loss: 0.0724	LR: 0.004000
Training Epoch: 7 [36864/48750]	Loss: 0.0581	LR: 0.004000
Training Epoch: 7 [37120/48750]	Loss: 0.0582	LR: 0.004000
Training Epoch: 7 [37376/48750]	Loss: 0.0598	LR: 0.004000
Training Epoch: 7 [37632/48750]	Loss: 0.0375	LR: 0.004000
Training Epoch: 7 [37888/48750]	Loss: 0.0609	LR: 0.004000
Training Epoch: 7 [38144/48750]	Loss: 0.0476	LR: 0.004000
Training Epoch: 7 [38400/48750]	Loss: 0.0458	LR: 0.004000
Training Epoch: 7 [38656/48750]	Loss: 0.0842	LR: 0.004000
Training Epoch: 7 [38912/48750]	Loss: 0.0469	LR: 0.004000
Training Epoch: 7 [39168/48750]	Loss: 0.0540	LR: 0.004000
Training Epoch: 7 [39424/48750]	Loss: 0.0432	LR: 0.004000
Training Epoch: 7 [39680/48750]	Loss: 0.0577	LR: 0.004000
Training Epoch: 7 [39936/48750]	Loss: 0.0455	LR: 0.004000
Training Epoch: 7 [40192/48750]	Loss: 0.0537	LR: 0.004000
Training Epoch: 7 [40448/48750]	Loss: 0.0974	LR: 0.004000
Training Epoch: 7 [40704/48750]	Loss: 0.0382	LR: 0.004000
Training Epoch: 7 [40960/48750]	Loss: 0.0506	LR: 0.004000
Training Epoch: 7 [41216/48750]	Loss: 0.0659	LR: 0.004000
Training Epoch: 7 [41472/48750]	Loss: 0.0512	LR: 0.004000
Training Epoch: 7 [41728/48750]	Loss: 0.0778	LR: 0.004000
Training Epoch: 7 [41984/48750]	Loss: 0.0482	LR: 0.004000
Training Epoch: 7 [42240/48750]	Loss: 0.0459	LR: 0.004000
Training Epoch: 7 [42496/48750]	Loss: 0.0809	LR: 0.004000
Training Epoch: 7 [42752/48750]	Loss: 0.0552	LR: 0.004000
Training Epoch: 7 [43008/48750]	Loss: 0.0403	LR: 0.004000
Training Epoch: 7 [43264/48750]	Loss: 0.0554	LR: 0.004000
Training Epoch: 7 [43520/48750]	Loss: 0.0418	LR: 0.004000
Training Epoch: 7 [43776/48750]	Loss: 0.0462	LR: 0.004000
Training Epoch: 7 [44032/48750]	Loss: 0.0822	LR: 0.004000
Training Epoch: 7 [44288/48750]	Loss: 0.0464	LR: 0.004000
Training Epoch: 7 [44544/48750]	Loss: 0.0610	LR: 0.004000
Training Epoch: 7 [44800/48750]	Loss: 0.0581	LR: 0.004000
Training Epoch: 7 [45056/48750]	Loss: 0.0629	LR: 0.004000
Training Epoch: 7 [45312/48750]	Loss: 0.0847	LR: 0.004000
Training Epoch: 7 [45568/48750]	Loss: 0.0430	LR: 0.004000
Training Epoch: 7 [45824/48750]	Loss: 0.0395	LR: 0.004000
Training Epoch: 7 [46080/48750]	Loss: 0.0462	LR: 0.004000
Training Epoch: 7 [46336/48750]	Loss: 0.0401	LR: 0.004000
Training Epoch: 7 [46592/48750]	Loss: 0.0769	LR: 0.004000
Training Epoch: 7 [46848/48750]	Loss: 0.0482	LR: 0.004000
Training Epoch: 7 [47104/48750]	Loss: 0.0462	LR: 0.004000
Training Epoch: 7 [47360/48750]	Loss: 0.0692	LR: 0.004000
Training Epoch: 7 [47616/48750]	Loss: 0.0563	LR: 0.004000
Training Epoch: 7 [47872/48750]	Loss: 0.0666	LR: 0.004000
Training Epoch: 7 [48128/48750]	Loss: 0.0505	LR: 0.004000
Training Epoch: 7 [48384/48750]	Loss: 0.0907	LR: 0.004000
Training Epoch: 7 [48640/48750]	Loss: 0.0628	LR: 0.004000
Training Epoch: 7 [48750/48750]	Loss: 0.0628	LR: 0.004000
Epoch 7 - Average Train Loss: 0.0588, Train Accuracy: 0.9875
Epoch 7 training time consumed: 18.98s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0026, Accuracy: 0.8160, Time consumed:0.93s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_52m_34s/ResNet18-Cifar10-seed8-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0265	LR: 0.004000
Training Epoch: 8 [512/48750]	Loss: 0.0363	LR: 0.004000
Training Epoch: 8 [768/48750]	Loss: 0.0421	LR: 0.004000
Training Epoch: 8 [1024/48750]	Loss: 0.0322	LR: 0.004000
Training Epoch: 8 [1280/48750]	Loss: 0.0376	LR: 0.004000
Training Epoch: 8 [1536/48750]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [1792/48750]	Loss: 0.0354	LR: 0.004000
Training Epoch: 8 [2048/48750]	Loss: 0.0232	LR: 0.004000
Training Epoch: 8 [2304/48750]	Loss: 0.0174	LR: 0.004000
Training Epoch: 8 [2560/48750]	Loss: 0.0237	LR: 0.004000
Training Epoch: 8 [2816/48750]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [3072/48750]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [3328/48750]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [3584/48750]	Loss: 0.0318	LR: 0.004000
Training Epoch: 8 [3840/48750]	Loss: 0.0370	LR: 0.004000
Training Epoch: 8 [4096/48750]	Loss: 0.0276	LR: 0.004000
Training Epoch: 8 [4352/48750]	Loss: 0.0398	LR: 0.004000
Training Epoch: 8 [4608/48750]	Loss: 0.0303	LR: 0.004000
Training Epoch: 8 [4864/48750]	Loss: 0.0186	LR: 0.004000
Training Epoch: 8 [5120/48750]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [5376/48750]	Loss: 0.0207	LR: 0.004000
Training Epoch: 8 [5632/48750]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [5888/48750]	Loss: 0.0310	LR: 0.004000
Training Epoch: 8 [6144/48750]	Loss: 0.0304	LR: 0.004000
Training Epoch: 8 [6400/48750]	Loss: 0.0270	LR: 0.004000
Training Epoch: 8 [6656/48750]	Loss: 0.0262	LR: 0.004000
Training Epoch: 8 [6912/48750]	Loss: 0.0383	LR: 0.004000
Training Epoch: 8 [7168/48750]	Loss: 0.0321	LR: 0.004000
Training Epoch: 8 [7424/48750]	Loss: 0.0242	LR: 0.004000
Training Epoch: 8 [7680/48750]	Loss: 0.0139	LR: 0.004000
Training Epoch: 8 [7936/48750]	Loss: 0.0161	LR: 0.004000
Training Epoch: 8 [8192/48750]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [8448/48750]	Loss: 0.0167	LR: 0.004000
Training Epoch: 8 [8704/48750]	Loss: 0.0237	LR: 0.004000
Training Epoch: 8 [8960/48750]	Loss: 0.0222	LR: 0.004000
Training Epoch: 8 [9216/48750]	Loss: 0.0301	LR: 0.004000
Training Epoch: 8 [9472/48750]	Loss: 0.0329	LR: 0.004000
Training Epoch: 8 [9728/48750]	Loss: 0.0282	LR: 0.004000
Training Epoch: 8 [9984/48750]	Loss: 0.0222	LR: 0.004000
Training Epoch: 8 [10240/48750]	Loss: 0.0198	LR: 0.004000
Training Epoch: 8 [10496/48750]	Loss: 0.0224	LR: 0.004000
Training Epoch: 8 [10752/48750]	Loss: 0.0342	LR: 0.004000
Training Epoch: 8 [11008/48750]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [11264/48750]	Loss: 0.0314	LR: 0.004000
Training Epoch: 8 [11520/48750]	Loss: 0.0275	LR: 0.004000
Training Epoch: 8 [11776/48750]	Loss: 0.0330	LR: 0.004000
Training Epoch: 8 [12032/48750]	Loss: 0.0308	LR: 0.004000
Training Epoch: 8 [12288/48750]	Loss: 0.0242	LR: 0.004000
Training Epoch: 8 [12544/48750]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [12800/48750]	Loss: 0.0231	LR: 0.004000
Training Epoch: 8 [13056/48750]	Loss: 0.0273	LR: 0.004000
Training Epoch: 8 [13312/48750]	Loss: 0.0176	LR: 0.004000
Training Epoch: 8 [13568/48750]	Loss: 0.0177	LR: 0.004000
Training Epoch: 8 [13824/48750]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [14080/48750]	Loss: 0.0187	LR: 0.004000
Training Epoch: 8 [14336/48750]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [14592/48750]	Loss: 0.0285	LR: 0.004000
Training Epoch: 8 [14848/48750]	Loss: 0.0317	LR: 0.004000
Training Epoch: 8 [15104/48750]	Loss: 0.0334	LR: 0.004000
Training Epoch: 8 [15360/48750]	Loss: 0.0284	LR: 0.004000
Training Epoch: 8 [15616/48750]	Loss: 0.0307	LR: 0.004000
Training Epoch: 8 [15872/48750]	Loss: 0.0322	LR: 0.004000
Training Epoch: 8 [16128/48750]	Loss: 0.0249	LR: 0.004000
Training Epoch: 8 [16384/48750]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [16640/48750]	Loss: 0.0244	LR: 0.004000
Training Epoch: 8 [16896/48750]	Loss: 0.0359	LR: 0.004000
Training Epoch: 8 [17152/48750]	Loss: 0.0244	LR: 0.004000
Training Epoch: 8 [17408/48750]	Loss: 0.0184	LR: 0.004000
Training Epoch: 8 [17664/48750]	Loss: 0.0213	LR: 0.004000
Training Epoch: 8 [17920/48750]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [18176/48750]	Loss: 0.0307	LR: 0.004000
Training Epoch: 8 [18432/48750]	Loss: 0.0298	LR: 0.004000
Training Epoch: 8 [18688/48750]	Loss: 0.0267	LR: 0.004000
Training Epoch: 8 [18944/48750]	Loss: 0.0188	LR: 0.004000
Training Epoch: 8 [19200/48750]	Loss: 0.0249	LR: 0.004000
Training Epoch: 8 [19456/48750]	Loss: 0.0372	LR: 0.004000
Training Epoch: 8 [19712/48750]	Loss: 0.0143	LR: 0.004000
Training Epoch: 8 [19968/48750]	Loss: 0.0183	LR: 0.004000
Training Epoch: 8 [20224/48750]	Loss: 0.0249	LR: 0.004000
Training Epoch: 8 [20480/48750]	Loss: 0.0288	LR: 0.004000
Training Epoch: 8 [20736/48750]	Loss: 0.0217	LR: 0.004000
Training Epoch: 8 [20992/48750]	Loss: 0.0253	LR: 0.004000
Training Epoch: 8 [21248/48750]	Loss: 0.0296	LR: 0.004000
Training Epoch: 8 [21504/48750]	Loss: 0.0170	LR: 0.004000
Training Epoch: 8 [21760/48750]	Loss: 0.0202	LR: 0.004000
Training Epoch: 8 [22016/48750]	Loss: 0.0315	LR: 0.004000
Training Epoch: 8 [22272/48750]	Loss: 0.0246	LR: 0.004000
Training Epoch: 8 [22528/48750]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [22784/48750]	Loss: 0.0149	LR: 0.004000
Training Epoch: 8 [23040/48750]	Loss: 0.0233	LR: 0.004000
Training Epoch: 8 [23296/48750]	Loss: 0.0208	LR: 0.004000
Training Epoch: 8 [23552/48750]	Loss: 0.0301	LR: 0.004000
Training Epoch: 8 [23808/48750]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [24064/48750]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [24320/48750]	Loss: 0.0299	LR: 0.004000
Training Epoch: 8 [24576/48750]	Loss: 0.0427	LR: 0.004000
Training Epoch: 8 [24832/48750]	Loss: 0.0258	LR: 0.004000
Training Epoch: 8 [25088/48750]	Loss: 0.0232	LR: 0.004000
Training Epoch: 8 [25344/48750]	Loss: 0.0215	LR: 0.004000
Training Epoch: 8 [25600/48750]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [25856/48750]	Loss: 0.0228	LR: 0.004000
Training Epoch: 8 [26112/48750]	Loss: 0.0175	LR: 0.004000
Training Epoch: 8 [26368/48750]	Loss: 0.0354	LR: 0.004000
Training Epoch: 8 [26624/48750]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [26880/48750]	Loss: 0.0153	LR: 0.004000
Training Epoch: 8 [27136/48750]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [27392/48750]	Loss: 0.0291	LR: 0.004000
Training Epoch: 8 [27648/48750]	Loss: 0.0195	LR: 0.004000
Training Epoch: 8 [27904/48750]	Loss: 0.0332	LR: 0.004000
Training Epoch: 8 [28160/48750]	Loss: 0.0216	LR: 0.004000
Training Epoch: 8 [28416/48750]	Loss: 0.0254	LR: 0.004000
Training Epoch: 8 [28672/48750]	Loss: 0.0264	LR: 0.004000
Training Epoch: 8 [28928/48750]	Loss: 0.0158	LR: 0.004000
Training Epoch: 8 [29184/48750]	Loss: 0.0203	LR: 0.004000
Training Epoch: 8 [29440/48750]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [29696/48750]	Loss: 0.0246	LR: 0.004000
Training Epoch: 8 [29952/48750]	Loss: 0.0182	LR: 0.004000
Training Epoch: 8 [30208/48750]	Loss: 0.0222	LR: 0.004000
Training Epoch: 8 [30464/48750]	Loss: 0.0288	LR: 0.004000
Training Epoch: 8 [30720/48750]	Loss: 0.0321	LR: 0.004000
Training Epoch: 8 [30976/48750]	Loss: 0.0154	LR: 0.004000
Training Epoch: 8 [31232/48750]	Loss: 0.0209	LR: 0.004000
Training Epoch: 8 [31488/48750]	Loss: 0.0361	LR: 0.004000
Training Epoch: 8 [31744/48750]	Loss: 0.0227	LR: 0.004000
Training Epoch: 8 [32000/48750]	Loss: 0.0190	LR: 0.004000
Training Epoch: 8 [32256/48750]	Loss: 0.0237	LR: 0.004000
Training Epoch: 8 [32512/48750]	Loss: 0.0253	LR: 0.004000
Training Epoch: 8 [32768/48750]	Loss: 0.0186	LR: 0.004000
Training Epoch: 8 [33024/48750]	Loss: 0.0345	LR: 0.004000
Training Epoch: 8 [33280/48750]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [33536/48750]	Loss: 0.0255	LR: 0.004000
Training Epoch: 8 [33792/48750]	Loss: 0.0185	LR: 0.004000
Training Epoch: 8 [34048/48750]	Loss: 0.0247	LR: 0.004000
Training Epoch: 8 [34304/48750]	Loss: 0.0177	LR: 0.004000
Training Epoch: 8 [34560/48750]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [34816/48750]	Loss: 0.0283	LR: 0.004000
Training Epoch: 8 [35072/48750]	Loss: 0.0285	LR: 0.004000
Training Epoch: 8 [35328/48750]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [35584/48750]	Loss: 0.0225	LR: 0.004000
Training Epoch: 8 [35840/48750]	Loss: 0.0204	LR: 0.004000
Training Epoch: 8 [36096/48750]	Loss: 0.0190	LR: 0.004000
Training Epoch: 8 [36352/48750]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [36608/48750]	Loss: 0.0281	LR: 0.004000
Training Epoch: 8 [36864/48750]	Loss: 0.0282	LR: 0.004000
Training Epoch: 8 [37120/48750]	Loss: 0.0166	LR: 0.004000
Training Epoch: 8 [37376/48750]	Loss: 0.0223	LR: 0.004000
Training Epoch: 8 [37632/48750]	Loss: 0.0156	LR: 0.004000
Training Epoch: 8 [37888/48750]	Loss: 0.0191	LR: 0.004000
Training Epoch: 8 [38144/48750]	Loss: 0.0300	LR: 0.004000
Training Epoch: 8 [38400/48750]	Loss: 0.0163	LR: 0.004000
Training Epoch: 8 [38656/48750]	Loss: 0.0253	LR: 0.004000
Training Epoch: 8 [38912/48750]	Loss: 0.0484	LR: 0.004000
Training Epoch: 8 [39168/48750]	Loss: 0.0156	LR: 0.004000
Training Epoch: 8 [39424/48750]	Loss: 0.0261	LR: 0.004000
Training Epoch: 8 [39680/48750]	Loss: 0.0238	LR: 0.004000
Training Epoch: 8 [39936/48750]	Loss: 0.0474	LR: 0.004000
Training Epoch: 8 [40192/48750]	Loss: 0.0210	LR: 0.004000
Training Epoch: 8 [40448/48750]	Loss: 0.0193	LR: 0.004000
Training Epoch: 8 [40704/48750]	Loss: 0.0178	LR: 0.004000
Training Epoch: 8 [40960/48750]	Loss: 0.0175	LR: 0.004000
Training Epoch: 8 [41216/48750]	Loss: 0.0312	LR: 0.004000
Training Epoch: 8 [41472/48750]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [41728/48750]	Loss: 0.0243	LR: 0.004000
Training Epoch: 8 [41984/48750]	Loss: 0.0257	LR: 0.004000
Training Epoch: 8 [42240/48750]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [42496/48750]	Loss: 0.0360	LR: 0.004000
Training Epoch: 8 [42752/48750]	Loss: 0.0265	LR: 0.004000
Training Epoch: 8 [43008/48750]	Loss: 0.0248	LR: 0.004000
Training Epoch: 8 [43264/48750]	Loss: 0.0315	LR: 0.004000
Training Epoch: 8 [43520/48750]	Loss: 0.0219	LR: 0.004000
Training Epoch: 8 [43776/48750]	Loss: 0.0256	LR: 0.004000
Training Epoch: 8 [44032/48750]	Loss: 0.0206	LR: 0.004000
Training Epoch: 8 [44288/48750]	Loss: 0.0135	LR: 0.004000
Training Epoch: 8 [44544/48750]	Loss: 0.0229	LR: 0.004000
Training Epoch: 8 [44800/48750]	Loss: 0.0203	LR: 0.004000
Training Epoch: 8 [45056/48750]	Loss: 0.0314	LR: 0.004000
Training Epoch: 8 [45312/48750]	Loss: 0.0195	LR: 0.004000
Training Epoch: 8 [45568/48750]	Loss: 0.0194	LR: 0.004000
Training Epoch: 8 [45824/48750]	Loss: 0.0299	LR: 0.004000
Training Epoch: 8 [46080/48750]	Loss: 0.0318	LR: 0.004000
Training Epoch: 8 [46336/48750]	Loss: 0.0162	LR: 0.004000
Training Epoch: 8 [46592/48750]	Loss: 0.0278	LR: 0.004000
Training Epoch: 8 [46848/48750]	Loss: 0.0277	LR: 0.004000
Training Epoch: 8 [47104/48750]	Loss: 0.0335	LR: 0.004000
Training Epoch: 8 [47360/48750]	Loss: 0.0259	LR: 0.004000
Training Epoch: 8 [47616/48750]	Loss: 0.0289	LR: 0.004000
Training Epoch: 8 [47872/48750]	Loss: 0.0251	LR: 0.004000
Training Epoch: 8 [48128/48750]	Loss: 0.0262	LR: 0.004000
Training Epoch: 8 [48384/48750]	Loss: 0.0252	LR: 0.004000
Training Epoch: 8 [48640/48750]	Loss: 0.0189	LR: 0.004000
Training Epoch: 8 [48750/48750]	Loss: 0.0501	LR: 0.004000
Epoch 8 - Average Train Loss: 0.0253, Train Accuracy: 0.9976
Epoch 8 training time consumed: 18.95s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0027, Accuracy: 0.8190, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_52m_34s/ResNet18-Cifar10-seed8-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [512/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [768/48750]	Loss: 0.0177	LR: 0.000800
Training Epoch: 9 [1024/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [1280/48750]	Loss: 0.0171	LR: 0.000800
Training Epoch: 9 [1536/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [1792/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [2048/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [2304/48750]	Loss: 0.0136	LR: 0.000800
Training Epoch: 9 [2560/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [2816/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [3072/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [3328/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [3584/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [3840/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [4096/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [4352/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 9 [4608/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [4864/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [5120/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [5376/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 9 [5632/48750]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [5888/48750]	Loss: 0.0170	LR: 0.000800
Training Epoch: 9 [6144/48750]	Loss: 0.0192	LR: 0.000800
Training Epoch: 9 [6400/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [6656/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [6912/48750]	Loss: 0.0157	LR: 0.000800
Training Epoch: 9 [7168/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [7424/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [7680/48750]	Loss: 0.0142	LR: 0.000800
Training Epoch: 9 [7936/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [8192/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [8448/48750]	Loss: 0.0225	LR: 0.000800
Training Epoch: 9 [8704/48750]	Loss: 0.0191	LR: 0.000800
Training Epoch: 9 [8960/48750]	Loss: 0.0188	LR: 0.000800
Training Epoch: 9 [9216/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [9472/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [9728/48750]	Loss: 0.0156	LR: 0.000800
Training Epoch: 9 [9984/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 9 [10240/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [10496/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [10752/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [11008/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [11264/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [11520/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [11776/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 9 [12032/48750]	Loss: 0.0163	LR: 0.000800
Training Epoch: 9 [12288/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [12544/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [12800/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [13056/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 9 [13312/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [13568/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [13824/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [14080/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [14336/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 9 [14592/48750]	Loss: 0.0158	LR: 0.000800
Training Epoch: 9 [14848/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 9 [15104/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [15360/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [15616/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [15872/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [16128/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [16384/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [16640/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [16896/48750]	Loss: 0.0093	LR: 0.000800
Training Epoch: 9 [17152/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [17408/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [17664/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [17920/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [18176/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [18432/48750]	Loss: 0.0131	LR: 0.000800
Training Epoch: 9 [18688/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [18944/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [19200/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [19456/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [19712/48750]	Loss: 0.0144	LR: 0.000800
Training Epoch: 9 [19968/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [20224/48750]	Loss: 0.0153	LR: 0.000800
Training Epoch: 9 [20480/48750]	Loss: 0.0178	LR: 0.000800
Training Epoch: 9 [20736/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [20992/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [21248/48750]	Loss: 0.0168	LR: 0.000800
Training Epoch: 9 [21504/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [21760/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [22016/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [22272/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [22528/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [22784/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [23040/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 9 [23296/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [23552/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [23808/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [24064/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [24320/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [24576/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [24832/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [25088/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [25344/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [25600/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 9 [25856/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 9 [26112/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [26368/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [26624/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [26880/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 9 [27136/48750]	Loss: 0.0269	LR: 0.000800
Training Epoch: 9 [27392/48750]	Loss: 0.0195	LR: 0.000800
Training Epoch: 9 [27648/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [27904/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [28160/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [28416/48750]	Loss: 0.0143	LR: 0.000800
Training Epoch: 9 [28672/48750]	Loss: 0.0148	LR: 0.000800
Training Epoch: 9 [28928/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 9 [29184/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 9 [29440/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 9 [29696/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [29952/48750]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [30208/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [30464/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 9 [30720/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [30976/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [31232/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [31488/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [31744/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [32000/48750]	Loss: 0.0159	LR: 0.000800
Training Epoch: 9 [32256/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 9 [32512/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [32768/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [33024/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [33280/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 9 [33536/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [33792/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [34048/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [34304/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 9 [34560/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [34816/48750]	Loss: 0.0137	LR: 0.000800
Training Epoch: 9 [35072/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 9 [35328/48750]	Loss: 0.0074	LR: 0.000800
Training Epoch: 9 [35584/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 9 [35840/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [36096/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 9 [36352/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [36608/48750]	Loss: 0.0106	LR: 0.000800
Training Epoch: 9 [36864/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [37120/48750]	Loss: 0.0154	LR: 0.000800
Training Epoch: 9 [37376/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 9 [37632/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [37888/48750]	Loss: 0.0139	LR: 0.000800
Training Epoch: 9 [38144/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 9 [38400/48750]	Loss: 0.0118	LR: 0.000800
Training Epoch: 9 [38656/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 9 [38912/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [39168/48750]	Loss: 0.0128	LR: 0.000800
Training Epoch: 9 [39424/48750]	Loss: 0.0125	LR: 0.000800
Training Epoch: 9 [39680/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [39936/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 9 [40192/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 9 [40448/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 9 [40704/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [40960/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 9 [41216/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 9 [41472/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [41728/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 9 [41984/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 9 [42240/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 9 [42496/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 9 [42752/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 9 [43008/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [43264/48750]	Loss: 0.0165	LR: 0.000800
Training Epoch: 9 [43520/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [43776/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [44032/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 9 [44288/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 9 [44544/48750]	Loss: 0.0152	LR: 0.000800
Training Epoch: 9 [44800/48750]	Loss: 0.0130	LR: 0.000800
Training Epoch: 9 [45056/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 9 [45312/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 9 [45568/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 9 [45824/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 9 [46080/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 9 [46336/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 9 [46592/48750]	Loss: 0.0147	LR: 0.000800
Training Epoch: 9 [46848/48750]	Loss: 0.0171	LR: 0.000800
Training Epoch: 9 [47104/48750]	Loss: 0.0151	LR: 0.000800
Training Epoch: 9 [47360/48750]	Loss: 0.0184	LR: 0.000800
Training Epoch: 9 [47616/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 9 [47872/48750]	Loss: 0.0146	LR: 0.000800
Training Epoch: 9 [48128/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 9 [48384/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 9 [48640/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 9 [48750/48750]	Loss: 0.0126	LR: 0.000800
Epoch 9 - Average Train Loss: 0.0121, Train Accuracy: 0.9998
Epoch 9 training time consumed: 19.18s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0026, Accuracy: 0.8211, Time consumed:1.06s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_52m_34s/ResNet18-Cifar10-seed8-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [512/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 10 [768/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [1024/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [1280/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [1536/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [1792/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [2048/48750]	Loss: 0.0091	LR: 0.000800
Training Epoch: 10 [2304/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [2560/48750]	Loss: 0.0133	LR: 0.000800
Training Epoch: 10 [2816/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [3072/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [3328/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [3584/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [3840/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [4096/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [4352/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [4608/48750]	Loss: 0.0066	LR: 0.000800
Training Epoch: 10 [4864/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [5120/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [5376/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [5632/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [5888/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [6144/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [6400/48750]	Loss: 0.0194	LR: 0.000800
Training Epoch: 10 [6656/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [6912/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [7168/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [7424/48750]	Loss: 0.0154	LR: 0.000800
Training Epoch: 10 [7680/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [7936/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [8192/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [8448/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [8704/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [8960/48750]	Loss: 0.0152	LR: 0.000800
Training Epoch: 10 [9216/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [9472/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [9728/48750]	Loss: 0.0129	LR: 0.000800
Training Epoch: 10 [9984/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [10240/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [10496/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [10752/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [11008/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [11264/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [11520/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [11776/48750]	Loss: 0.0134	LR: 0.000800
Training Epoch: 10 [12032/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [12288/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [12544/48750]	Loss: 0.0067	LR: 0.000800
Training Epoch: 10 [12800/48750]	Loss: 0.0145	LR: 0.000800
Training Epoch: 10 [13056/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [13312/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [13568/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [13824/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [14080/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [14336/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [14592/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [14848/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [15104/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [15360/48750]	Loss: 0.0113	LR: 0.000800
Training Epoch: 10 [15616/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [15872/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [16128/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [16384/48750]	Loss: 0.0067	LR: 0.000800
Training Epoch: 10 [16640/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [16896/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [17152/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [17408/48750]	Loss: 0.0141	LR: 0.000800
Training Epoch: 10 [17664/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [17920/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [18176/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [18432/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [18688/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [18944/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [19200/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [19456/48750]	Loss: 0.0119	LR: 0.000800
Training Epoch: 10 [19712/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [19968/48750]	Loss: 0.0173	LR: 0.000800
Training Epoch: 10 [20224/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [20480/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [20736/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [20992/48750]	Loss: 0.0096	LR: 0.000800
Training Epoch: 10 [21248/48750]	Loss: 0.0073	LR: 0.000800
Training Epoch: 10 [21504/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [21760/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [22016/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [22272/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [22528/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [22784/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [23040/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [23296/48750]	Loss: 0.0121	LR: 0.000800
Training Epoch: 10 [23552/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [23808/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [24064/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [24320/48750]	Loss: 0.0123	LR: 0.000800
Training Epoch: 10 [24576/48750]	Loss: 0.0076	LR: 0.000800
Training Epoch: 10 [24832/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [25088/48750]	Loss: 0.0105	LR: 0.000800
Training Epoch: 10 [25344/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [25600/48750]	Loss: 0.0135	LR: 0.000800
Training Epoch: 10 [25856/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [26112/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [26368/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [26624/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [26880/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [27136/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [27392/48750]	Loss: 0.0122	LR: 0.000800
Training Epoch: 10 [27648/48750]	Loss: 0.0116	LR: 0.000800
Training Epoch: 10 [27904/48750]	Loss: 0.0104	LR: 0.000800
Training Epoch: 10 [28160/48750]	Loss: 0.0087	LR: 0.000800
Training Epoch: 10 [28416/48750]	Loss: 0.0069	LR: 0.000800
Training Epoch: 10 [28672/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [28928/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [29184/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [29440/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [29696/48750]	Loss: 0.0080	LR: 0.000800
Training Epoch: 10 [29952/48750]	Loss: 0.0124	LR: 0.000800
Training Epoch: 10 [30208/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [30464/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [30720/48750]	Loss: 0.0083	LR: 0.000800
Training Epoch: 10 [30976/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [31232/48750]	Loss: 0.0100	LR: 0.000800
Training Epoch: 10 [31488/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [31744/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [32000/48750]	Loss: 0.0109	LR: 0.000800
Training Epoch: 10 [32256/48750]	Loss: 0.0126	LR: 0.000800
Training Epoch: 10 [32512/48750]	Loss: 0.0084	LR: 0.000800
Training Epoch: 10 [32768/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [33024/48750]	Loss: 0.0108	LR: 0.000800
Training Epoch: 10 [33280/48750]	Loss: 0.0132	LR: 0.000800
Training Epoch: 10 [33536/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [33792/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [34048/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [34304/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [34560/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [34816/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [35072/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [35328/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [35584/48750]	Loss: 0.0090	LR: 0.000800
Training Epoch: 10 [35840/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [36096/48750]	Loss: 0.0081	LR: 0.000800
Training Epoch: 10 [36352/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [36608/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [36864/48750]	Loss: 0.0112	LR: 0.000800
Training Epoch: 10 [37120/48750]	Loss: 0.0111	LR: 0.000800
Training Epoch: 10 [37376/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [37632/48750]	Loss: 0.0092	LR: 0.000800
Training Epoch: 10 [37888/48750]	Loss: 0.0110	LR: 0.000800
Training Epoch: 10 [38144/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [38400/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [38656/48750]	Loss: 0.0127	LR: 0.000800
Training Epoch: 10 [38912/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [39168/48750]	Loss: 0.0097	LR: 0.000800
Training Epoch: 10 [39424/48750]	Loss: 0.0120	LR: 0.000800
Training Epoch: 10 [39680/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [39936/48750]	Loss: 0.0117	LR: 0.000800
Training Epoch: 10 [40192/48750]	Loss: 0.0114	LR: 0.000800
Training Epoch: 10 [40448/48750]	Loss: 0.0115	LR: 0.000800
Training Epoch: 10 [40704/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [40960/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [41216/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [41472/48750]	Loss: 0.0107	LR: 0.000800
Training Epoch: 10 [41728/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [41984/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [42240/48750]	Loss: 0.0095	LR: 0.000800
Training Epoch: 10 [42496/48750]	Loss: 0.0102	LR: 0.000800
Training Epoch: 10 [42752/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [43008/48750]	Loss: 0.0158	LR: 0.000800
Training Epoch: 10 [43264/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [43520/48750]	Loss: 0.0077	LR: 0.000800
Training Epoch: 10 [43776/48750]	Loss: 0.0089	LR: 0.000800
Training Epoch: 10 [44032/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [44288/48750]	Loss: 0.0086	LR: 0.000800
Training Epoch: 10 [44544/48750]	Loss: 0.0094	LR: 0.000800
Training Epoch: 10 [44800/48750]	Loss: 0.0103	LR: 0.000800
Training Epoch: 10 [45056/48750]	Loss: 0.0070	LR: 0.000800
Training Epoch: 10 [45312/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [45568/48750]	Loss: 0.0088	LR: 0.000800
Training Epoch: 10 [45824/48750]	Loss: 0.0098	LR: 0.000800
Training Epoch: 10 [46080/48750]	Loss: 0.0075	LR: 0.000800
Training Epoch: 10 [46336/48750]	Loss: 0.0140	LR: 0.000800
Training Epoch: 10 [46592/48750]	Loss: 0.0085	LR: 0.000800
Training Epoch: 10 [46848/48750]	Loss: 0.0065	LR: 0.000800
Training Epoch: 10 [47104/48750]	Loss: 0.0078	LR: 0.000800
Training Epoch: 10 [47360/48750]	Loss: 0.0101	LR: 0.000800
Training Epoch: 10 [47616/48750]	Loss: 0.0082	LR: 0.000800
Training Epoch: 10 [47872/48750]	Loss: 0.0079	LR: 0.000800
Training Epoch: 10 [48128/48750]	Loss: 0.0067	LR: 0.000800
Training Epoch: 10 [48384/48750]	Loss: 0.0072	LR: 0.000800
Training Epoch: 10 [48640/48750]	Loss: 0.0099	LR: 0.000800
Training Epoch: 10 [48750/48750]	Loss: 0.0106	LR: 0.000800
Epoch 10 - Average Train Loss: 0.0099, Train Accuracy: 0.9999
Epoch 10 training time consumed: 18.95s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0027, Accuracy: 0.8213, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_02_August_2025_21h_52m_34s/ResNet18-Cifar10-seed8-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: 81.81640625
Retain Accuracy: 99.99795532226562
Zero-Retain Forget (ZRF): 0.7782387733459473
Membership Inference Attack (MIA): 0.608
Forget vs Retain Membership Inference Attack (MIA): 0.61
Forget vs Test Membership Inference Attack (MIA): 0.498
Test vs Retain Membership Inference Attack (MIA): 0.6185
Train vs Test Membership Inference Attack (MIA): 0.63875
Forget Set Accuracy (Df): 82.58988189697266
Method Execution Time: 1114.38 seconds
