hello
hello

📌 Retain class distribution for seed 6:
Class 0: 4500
Class 1: 4500
Class 2: 4500
Class 3: 4500
Class 4: 4500
Class 5: 4500
Class 6: 4500
Class 7: 4500
Class 8: 4500
Class 9: 4500

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

📊 Updated class distribution:
Retain set:
  Class 0: 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: 2.3663	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3583	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3345	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3654	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2831	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2246	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2221	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2703	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2110	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.1803	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2104	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2221	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1171	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.0792	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1402	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0084	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0623	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0169	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9672	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9569	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9335	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0329	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.8470	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.8229	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 2.1322	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 2.0915	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9215	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 2.0043	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8561	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9630	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9148	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8689	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8795	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8613	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8239	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.9207	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8285	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8030	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8309	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.8208	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.8784	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7052	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.9562	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.8109	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7908	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7989	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.8985	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.7676	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.7907	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.8418	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.8766	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.6799	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7127	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6703	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.8071	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7932	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7245	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.8256	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.6360	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7400	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7689	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7593	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.6335	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6779	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6590	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6847	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.7841	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.5994	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.8399	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.7140	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.8578	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.8247	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 2.0524	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.8950	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.9378	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 2.1916	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.7793	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.8130	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.8498	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.7471	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6449	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.7131	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.7466	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.6719	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6762	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.8034	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.8571	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.7943	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.7200	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.9149	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6506	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.5729	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6322	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5968	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.7103	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.4902	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5826	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.8107	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.7145	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5245	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.7256	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.6925	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.6570	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.5303	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.4687	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.5493	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.5483	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.6216	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.5490	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.4853	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5435	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.5618	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.6494	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.3691	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.6294	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.3904	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.6327	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.4659	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.4679	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.6112	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4098	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.6127	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.4514	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.5282	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.3244	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.4077	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.6347	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.5763	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.7991	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.6811	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.3497	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.4842	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.4776	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.6589	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.4623	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.6963	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.5112	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.5055	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5092	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.6084	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.6221	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.5922	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.4623	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.5347	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.6649	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.3499	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.4532	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.5062	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.6435	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.5960	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4845	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.4663	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.5556	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.5273	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4133	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.6538	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.5410	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.3939	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.5370	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4809	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.5154	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.5230	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.3622	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.3426	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4363	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.4615	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.3263	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4171	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.3906	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.4451	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.3808	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.2967	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4326	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3849	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.5708	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.3919	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.3421	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.4381	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.5530	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.5220	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3756	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.5402	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.4881	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.4324	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4059	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.4442	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.4938	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.4876	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.5128	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.3701	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.4259	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6981, Train Accuracy: 0.3790
Epoch 1 training time consumed: 30.22s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0093, Accuracy: 0.3924, Time consumed:1.16s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.5572	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.4564	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.6455	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.3713	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.5115	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.5300	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.4300	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4563	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.3487	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.4474	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.3136	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.2793	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.4481	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3904	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.2703	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.2738	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.5029	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.3721	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3828	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.4325	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.3011	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.4339	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.4265	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.1829	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.4686	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.3092	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2467	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3385	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3015	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.4469	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.2881	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.3736	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.3843	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.3415	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.3237	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.3486	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.1893	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2268	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.4369	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.2854	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.3175	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2700	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.2719	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2175	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.3053	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2316	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.3695	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.1815	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.2104	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.3049	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.3207	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.4113	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.1996	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.3559	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.3234	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2128	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.1965	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.2755	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.3062	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2921	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.2055	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.2631	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.2720	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.1649	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2196	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2373	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.0806	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2466	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2527	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.2078	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.2014	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1419	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.1893	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.2250	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.2743	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2630	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.0794	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1802	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.3587	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.0298	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.1901	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.0748	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.1959	LR: 0.100000
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Training Epoch: 2 [47872/48750]	Loss: 0.9627	LR: 0.100000
Training Epoch: 2 [48128/48750]	Loss: 1.2188	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 1.1465	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.0572	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1891, Train Accuracy: 0.5749
Epoch 2 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0041, Accuracy: 0.6383, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.9730	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.9330	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.8990	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.9302	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9569, Train Accuracy: 0.6634
Epoch 3 training time consumed: 29.54s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0035, Accuracy: 0.6930, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.8142	LR: 0.100000
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Training Epoch: 4 [47616/48750]	Loss: 0.8368	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.7942	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8086, Train Accuracy: 0.7169
Epoch 4 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0034, Accuracy: 0.7096, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7690	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.6316	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7072, Train Accuracy: 0.7530
Epoch 5 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0026, Accuracy: 0.7758, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.6965	LR: 0.100000
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Training Epoch: 6 [48640/48750]	Loss: 0.6407	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.5865	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6450, Train Accuracy: 0.7742
Epoch 6 training time consumed: 29.04s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0026, Accuracy: 0.7707, Time consumed:0.88s
Training Epoch: 7 [256/48750]	Loss: 0.4923	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.5214	LR: 0.100000
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Training Epoch: 7 [1024/48750]	Loss: 0.6214	LR: 0.100000
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Training Epoch: 7 [2816/48750]	Loss: 0.5430	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.5389	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.5976	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.6448	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.5059	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.6847	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.4049	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.7346	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.6063	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.5327	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.4509	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.6184	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.6639	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.5739	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.6548	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.5411	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.7844	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.5572	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.6113	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.5568	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.4666	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.6773	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.6039	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.6256	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.6134	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.6577	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.6018	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.6981	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.5924	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.7229	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.5989	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.5773	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.6688	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.5358	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.6432	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.5907	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.6110	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.5593	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.6509	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.7058	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.6200	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.5706	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.6390	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.5931	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.6884	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.5776	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.5982	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.5348	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.6552	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.5688	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.4834	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.6742	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.6804	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.5984	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.5566	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.6581	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.6598	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.5152	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.5078	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.6425	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.5926	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.5384	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.7847	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.5460	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.5051	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.5606	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.5057	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.5938	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.4945	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.6021	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.6067	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.4828	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.5281	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.5745	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.5998	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.6017	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.5426	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5550	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.5688	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.7443	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.5839	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.6433	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.6873	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.7222	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.6150	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.6170	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.6030	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.6290	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.6384	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.5301	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.6678	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.6088	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.5012	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.6481	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.6787	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.5959	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.6718	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.5206	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.5739	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.4309	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.5852	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.7589	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.6071	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.5994	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.5090	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.5439	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.6275	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.5491	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.4958	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.5646	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.6102	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.5554	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.5976	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.6570	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.5670	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.5437	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.7157	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.5596	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.5937	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.5697	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.6179	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.5353	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.5621	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.5785	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.6443	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.5377	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.5904	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.5731	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.5637	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.6290	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.6585	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.6126	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.5993	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.5375	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.5250	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.5391	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.7174	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.5454	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.6714	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.6950	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.5896	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.6308	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.5895	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.5921	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.6272	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.6698	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.6272	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.7314	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.5920	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.5733	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.5782	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.5305	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.5478	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.5778	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.5550	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.6208	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.4931	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.5474	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.5812	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.4819	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.5804	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.4561	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.6724	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.5778	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.6138	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.5564	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.7087	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.5850	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.5657	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.5936	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.5677	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.6675	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.5159	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.6202	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.5883	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.6104	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.7313	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.4990	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.5592	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.5729	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.5811	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5938, Train Accuracy: 0.7937
Epoch 7 training time consumed: 29.10s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0028, Accuracy: 0.7615, Time consumed:0.95s
Training Epoch: 8 [256/48750]	Loss: 0.5540	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.5599	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.4710	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.4902	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.5526	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.4883	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.5598	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.4730	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.4795	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.4051	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.5352	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.5632	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.4510	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.5665	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.4531	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.5295	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.5312	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.3960	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.4778	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.3760	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.5088	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.3666	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.3961	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.5719	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.4784	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.4924	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.4641	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.4033	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.3709	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.5192	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.3351	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.5226	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.4794	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.4515	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.4734	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.3806	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.5170	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.4626	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.4690	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.5752	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.4400	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.5424	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.5820	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.5343	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.4350	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.3973	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.5345	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.3949	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.5357	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.4771	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.4414	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.4650	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.4747	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.3481	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.5297	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4020	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.4936	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4062	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.4865	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.3997	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.5598	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.4003	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.4736	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.4017	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.3899	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4198	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.4590	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.4345	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.4837	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.4594	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.4513	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.3998	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.4372	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.5264	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.4660	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.4822	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.4765	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.3944	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.4396	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.4538	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.4480	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.4225	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.4546	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.4070	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.4765	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.5112	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.4999	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.4462	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.3923	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.3735	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.3734	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.4217	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4559	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.6018	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.3999	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.3603	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.5003	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.3510	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.4218	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.3815	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.2990	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.4269	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.4204	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.4766	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.3564	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.4745	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.3577	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.3527	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.3668	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.5039	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.4811	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.4890	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.3931	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.4668	LR: 0.020000
Training Epoch: 8 [29440/48750]	Loss: 0.4700	LR: 0.020000
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Training Epoch: 8 [32256/48750]	Loss: 0.4177	LR: 0.020000
Training Epoch: 8 [32512/48750]	Loss: 0.4053	LR: 0.020000
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Training Epoch: 8 [45312/48750]	Loss: 0.4104	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4092	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.3480	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.3931	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.5034	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.4323	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.5012	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.5095	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4454	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.3491	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4627	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4226	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.3267	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4055	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.4931	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4429, Train Accuracy: 0.8461
Epoch 8 training time consumed: 29.02s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8626, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4348	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4150	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.3554	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.3672	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.5256	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.3466	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4039	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.3868	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4492	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3677	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.3885	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.3177	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.3667	LR: 0.020000
Training Epoch: 9 [3584/48750]	Loss: 0.4335	LR: 0.020000
Training Epoch: 9 [3840/48750]	Loss: 0.3542	LR: 0.020000
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Training Epoch: 9 [4352/48750]	Loss: 0.4307	LR: 0.020000
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Training Epoch: 9 [9984/48750]	Loss: 0.4327	LR: 0.020000
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Training Epoch: 9 [11264/48750]	Loss: 0.4936	LR: 0.020000
Training Epoch: 9 [11520/48750]	Loss: 0.4238	LR: 0.020000
Training Epoch: 9 [11776/48750]	Loss: 0.3637	LR: 0.020000
Training Epoch: 9 [12032/48750]	Loss: 0.3791	LR: 0.020000
Training Epoch: 9 [12288/48750]	Loss: 0.2927	LR: 0.020000
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Training Epoch: 9 [15872/48750]	Loss: 0.4782	LR: 0.020000
Training Epoch: 9 [16128/48750]	Loss: 0.2958	LR: 0.020000
Training Epoch: 9 [16384/48750]	Loss: 0.4550	LR: 0.020000
Training Epoch: 9 [16640/48750]	Loss: 0.2939	LR: 0.020000
Training Epoch: 9 [16896/48750]	Loss: 0.4032	LR: 0.020000
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Training Epoch: 9 [29440/48750]	Loss: 0.5010	LR: 0.020000
Training Epoch: 9 [29696/48750]	Loss: 0.3630	LR: 0.020000
Training Epoch: 9 [29952/48750]	Loss: 0.4908	LR: 0.020000
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Training Epoch: 9 [30464/48750]	Loss: 0.4703	LR: 0.020000
Training Epoch: 9 [30720/48750]	Loss: 0.4378	LR: 0.020000
Training Epoch: 9 [30976/48750]	Loss: 0.3809	LR: 0.020000
Training Epoch: 9 [31232/48750]	Loss: 0.4585	LR: 0.020000
Training Epoch: 9 [31488/48750]	Loss: 0.4106	LR: 0.020000
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Training Epoch: 9 [32000/48750]	Loss: 0.4011	LR: 0.020000
Training Epoch: 9 [32256/48750]	Loss: 0.3177	LR: 0.020000
Training Epoch: 9 [32512/48750]	Loss: 0.3634	LR: 0.020000
Training Epoch: 9 [32768/48750]	Loss: 0.3540	LR: 0.020000
Training Epoch: 9 [33024/48750]	Loss: 0.3579	LR: 0.020000
Training Epoch: 9 [33280/48750]	Loss: 0.3703	LR: 0.020000
Training Epoch: 9 [33536/48750]	Loss: 0.3970	LR: 0.020000
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Training Epoch: 9 [35328/48750]	Loss: 0.3398	LR: 0.020000
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Training Epoch: 9 [35840/48750]	Loss: 0.3549	LR: 0.020000
Training Epoch: 9 [36096/48750]	Loss: 0.3616	LR: 0.020000
Training Epoch: 9 [36352/48750]	Loss: 0.3420	LR: 0.020000
Training Epoch: 9 [36608/48750]	Loss: 0.5198	LR: 0.020000
Training Epoch: 9 [36864/48750]	Loss: 0.5071	LR: 0.020000
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Training Epoch: 9 [37376/48750]	Loss: 0.4194	LR: 0.020000
Training Epoch: 9 [37632/48750]	Loss: 0.5562	LR: 0.020000
Training Epoch: 9 [37888/48750]	Loss: 0.4351	LR: 0.020000
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Training Epoch: 9 [38656/48750]	Loss: 0.3559	LR: 0.020000
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Training Epoch: 9 [40192/48750]	Loss: 0.3692	LR: 0.020000
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Training Epoch: 9 [42496/48750]	Loss: 0.4292	LR: 0.020000
Training Epoch: 9 [42752/48750]	Loss: 0.3487	LR: 0.020000
Training Epoch: 9 [43008/48750]	Loss: 0.3132	LR: 0.020000
Training Epoch: 9 [43264/48750]	Loss: 0.4570	LR: 0.020000
Training Epoch: 9 [43520/48750]	Loss: 0.4589	LR: 0.020000
Training Epoch: 9 [43776/48750]	Loss: 0.4014	LR: 0.020000
Training Epoch: 9 [44032/48750]	Loss: 0.3757	LR: 0.020000
Training Epoch: 9 [44288/48750]	Loss: 0.4112	LR: 0.020000
Training Epoch: 9 [44544/48750]	Loss: 0.3793	LR: 0.020000
Training Epoch: 9 [44800/48750]	Loss: 0.3450	LR: 0.020000
Training Epoch: 9 [45056/48750]	Loss: 0.3616	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.3291	LR: 0.020000
Training Epoch: 9 [45568/48750]	Loss: 0.3177	LR: 0.020000
Training Epoch: 9 [45824/48750]	Loss: 0.4070	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.3445	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.4070	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3987	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.3671	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3966	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.3920	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4085	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.3420	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4222	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4178	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.4025	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.5261	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3969, Train Accuracy: 0.8610
Epoch 9 training time consumed: 29.00s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0017, Accuracy: 0.8605, Time consumed:0.99s
Training Epoch: 10 [256/48750]	Loss: 0.3686	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3085	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4016	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3639	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.4130	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.4511	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4338	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3793	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.4287	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.3566	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.3346	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3298	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.4578	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.2908	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.4169	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.3003	LR: 0.020000
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Training Epoch: 10 [48128/48750]	Loss: 0.3121	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.2812	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.4788	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.3137	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3793, Train Accuracy: 0.8684
Epoch 10 training time consumed: 28.89s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8632, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.4665	LR: 0.020000
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Training Epoch: 11 [768/48750]	Loss: 0.4094	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.3779	LR: 0.020000
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Training Epoch: 11 [2048/48750]	Loss: 0.3331	LR: 0.020000
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Training Epoch: 11 [5888/48750]	Loss: 0.3416	LR: 0.020000
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Training Epoch: 11 [10496/48750]	Loss: 0.3821	LR: 0.020000
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Training Epoch: 11 [24576/48750]	Loss: 0.3130	LR: 0.020000
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Training Epoch: 11 [28160/48750]	Loss: 0.3941	LR: 0.020000
Training Epoch: 11 [28416/48750]	Loss: 0.3203	LR: 0.020000
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Training Epoch: 11 [31232/48750]	Loss: 0.3540	LR: 0.020000
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Training Epoch: 11 [32256/48750]	Loss: 0.3036	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.2863	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3582	LR: 0.020000
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Training Epoch: 11 [33536/48750]	Loss: 0.3671	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.3425	LR: 0.020000
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Training Epoch: 11 [44544/48750]	Loss: 0.2348	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3529	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3190	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3115	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3049	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.3260	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3467	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4232	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3949	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3604	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3814	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3635	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3434	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3125	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3534	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.4182	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3712	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3714	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3609, Train Accuracy: 0.8732
Epoch 11 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8683, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3859	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3411	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3206	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3879	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3315	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3526	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3330	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3044	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3077	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3321	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3288	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3524	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.2608	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3093	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.4490	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3426	LR: 0.004000
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Training Epoch: 12 [4864/48750]	Loss: 0.3341	LR: 0.004000
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Training Epoch: 12 [5632/48750]	Loss: 0.3493	LR: 0.004000
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Training Epoch: 12 [28416/48750]	Loss: 0.2776	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.2887	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.2752	LR: 0.004000
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Training Epoch: 12 [30720/48750]	Loss: 0.3428	LR: 0.004000
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Training Epoch: 12 [32256/48750]	Loss: 0.2787	LR: 0.004000
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Training Epoch: 12 [37376/48750]	Loss: 0.2950	LR: 0.004000
Training Epoch: 12 [37632/48750]	Loss: 0.3246	LR: 0.004000
Training Epoch: 12 [37888/48750]	Loss: 0.3739	LR: 0.004000
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Training Epoch: 12 [38656/48750]	Loss: 0.2656	LR: 0.004000
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Training Epoch: 12 [44800/48750]	Loss: 0.2727	LR: 0.004000
Training Epoch: 12 [45056/48750]	Loss: 0.3020	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.3131	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.2530	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.3237	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3192	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3618	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.2577	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3254	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.2708	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3235	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.4286	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3836	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.2900	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2764	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2397	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2900	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3163, Train Accuracy: 0.8905
Epoch 12 training time consumed: 29.02s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0014, Accuracy: 0.8812, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3946	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.2470	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.2723	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3479	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.2833	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3071	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.2547	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.2751	LR: 0.004000
Training Epoch: 13 [2304/48750]	Loss: 0.2909	LR: 0.004000
Training Epoch: 13 [2560/48750]	Loss: 0.2199	LR: 0.004000
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Training Epoch: 13 [48128/48750]	Loss: 0.2771	LR: 0.004000
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Training Epoch: 13 [48640/48750]	Loss: 0.2846	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.2589	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2969, Train Accuracy: 0.8966
Epoch 13 training time consumed: 28.96s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8839, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2475	LR: 0.004000
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Training Epoch: 14 [26624/48750]	Loss: 0.2955	LR: 0.004000
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Training Epoch: 14 [45312/48750]	Loss: 0.3389	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2706	LR: 0.004000
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Training Epoch: 14 [46080/48750]	Loss: 0.2631	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3831	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.2839	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.3916	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3105	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3208	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.2536	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3027	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3364	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2661	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2781	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.2119	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2904, Train Accuracy: 0.8982
Epoch 14 training time consumed: 29.11s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8893, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.3080	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2260	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.2786	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.2549	LR: 0.004000
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Training Epoch: 15 [46080/48750]	Loss: 0.3219	LR: 0.004000
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Training Epoch: 15 [46592/48750]	Loss: 0.2747	LR: 0.004000
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Training Epoch: 15 [47104/48750]	Loss: 0.2540	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.3281	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.2517	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.2658	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.2488	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.3222	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3558	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.1770	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2860, Train Accuracy: 0.9007
Epoch 15 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8913, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2686	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2382	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.3586	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.2352	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.2266	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.3400	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.3322	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.3331	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.1959	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.1908	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.3288	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.3006	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.2478	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.2007	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.2523	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.2351	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.1853	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.2499	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.2191	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.2168	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.3042	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.3505	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.3528	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.2961	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.2454	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.2276	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.2013	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.2410	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.2911	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.3065	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.2288	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.2840	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.2595	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.2910	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.2397	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.2218	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.3272	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.2286	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.2459	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.1969	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.3441	LR: 0.000800
Training Epoch: 16 [24320/48750]	Loss: 0.3327	LR: 0.000800
Training Epoch: 16 [24576/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 16 [24832/48750]	Loss: 0.2531	LR: 0.000800
Training Epoch: 16 [25088/48750]	Loss: 0.3011	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.2961	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.2928	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.2509	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.2688	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.2869	LR: 0.000800
Training Epoch: 16 [27136/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 16 [27392/48750]	Loss: 0.3846	LR: 0.000800
Training Epoch: 16 [27648/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 16 [27904/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.2378	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.3740	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 16 [29184/48750]	Loss: 0.1935	LR: 0.000800
Training Epoch: 16 [29440/48750]	Loss: 0.3327	LR: 0.000800
Training Epoch: 16 [29696/48750]	Loss: 0.3125	LR: 0.000800
Training Epoch: 16 [29952/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 16 [30208/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 16 [30464/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 16 [30720/48750]	Loss: 0.1910	LR: 0.000800
Training Epoch: 16 [30976/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 16 [31232/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 16 [31488/48750]	Loss: 0.3257	LR: 0.000800
Training Epoch: 16 [31744/48750]	Loss: 0.1681	LR: 0.000800
Training Epoch: 16 [32000/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 16 [32256/48750]	Loss: 0.2059	LR: 0.000800
Training Epoch: 16 [32512/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 16 [32768/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.2017	LR: 0.000800
Training Epoch: 16 [33280/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 16 [33536/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 16 [33792/48750]	Loss: 0.2806	LR: 0.000800
Training Epoch: 16 [34048/48750]	Loss: 0.1746	LR: 0.000800
Training Epoch: 16 [34304/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 16 [34560/48750]	Loss: 0.3151	LR: 0.000800
Training Epoch: 16 [34816/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 16 [35072/48750]	Loss: 0.2408	LR: 0.000800
Training Epoch: 16 [35328/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.2482	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.2911	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.2622	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.2006	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.2648	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.3108	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.2873	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.2932	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.2061	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 16 [39680/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 16 [39936/48750]	Loss: 0.2332	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 16 [41216/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 16 [41472/48750]	Loss: 0.2867	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.3465	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.3887	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.3816	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.2371	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.2225	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.4339	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.1877	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.3169	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.3424	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.2523	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.3275	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.3759	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.1939	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.3050	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.2502	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.1860	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2298	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2653	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2719, Train Accuracy: 0.9062
Epoch 16 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8913, Time consumed:1.02s
Training Epoch: 17 [256/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2313	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.2306	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.3013	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.3064	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.3071	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.2994	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.2095	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2944	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.2259	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.3170	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.3187	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.2930	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.3534	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.2046	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.2909	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.1955	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.2222	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 17 [12544/48750]	Loss: 0.2222	LR: 0.000800
Training Epoch: 17 [12800/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 17 [13056/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.2064	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.2619	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.2358	LR: 0.000800
Training Epoch: 17 [14080/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 17 [14336/48750]	Loss: 0.2192	LR: 0.000800
Training Epoch: 17 [14592/48750]	Loss: 0.2022	LR: 0.000800
Training Epoch: 17 [14848/48750]	Loss: 0.2345	LR: 0.000800
Training Epoch: 17 [15104/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.2564	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.3702	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.2072	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.3619	LR: 0.000800
Training Epoch: 17 [16384/48750]	Loss: 0.3103	LR: 0.000800
Training Epoch: 17 [16640/48750]	Loss: 0.2167	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 17 [17152/48750]	Loss: 0.2104	LR: 0.000800
Training Epoch: 17 [17408/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 17 [17664/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 17 [17920/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 17 [18176/48750]	Loss: 0.2397	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.2131	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.3277	LR: 0.000800
Training Epoch: 17 [19200/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.2171	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.2254	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.3266	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.3150	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 17 [20992/48750]	Loss: 0.2689	LR: 0.000800
Training Epoch: 17 [21248/48750]	Loss: 0.2814	LR: 0.000800
Training Epoch: 17 [21504/48750]	Loss: 0.3356	LR: 0.000800
Training Epoch: 17 [21760/48750]	Loss: 0.3212	LR: 0.000800
Training Epoch: 17 [22016/48750]	Loss: 0.2267	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.2576	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.2528	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.3286	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 17 [24064/48750]	Loss: 0.2451	LR: 0.000800
Training Epoch: 17 [24320/48750]	Loss: 0.3243	LR: 0.000800
Training Epoch: 17 [24576/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 17 [24832/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 17 [25088/48750]	Loss: 0.3673	LR: 0.000800
Training Epoch: 17 [25344/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 17 [25600/48750]	Loss: 0.3035	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.1892	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.3904	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.2065	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.3238	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.1919	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.3317	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.3325	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2645	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.3052	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2976	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2272	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2793	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.3033	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.3074	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.2130	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.2177	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.3079	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.1964	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.2862	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.1845	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2507	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.2008	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2046	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.2575	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.2268	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 17 [38912/48750]	Loss: 0.3364	LR: 0.000800
Training Epoch: 17 [39168/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.1915	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.3481	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.2056	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.1981	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.2653	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.2263	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.2740	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.2820	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2245	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.2774	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2635	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2522	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2258	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2211	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.1894	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.3318	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2161	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2923	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.2926	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2679, Train Accuracy: 0.9082
Epoch 17 training time consumed: 29.01s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8912, Time consumed:0.90s
Training Epoch: 18 [256/48750]	Loss: 0.2338	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2931	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2755	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3072	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2340	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.2991	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2652	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2078	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2639	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.3182	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.1803	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.2902	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.2646	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.3119	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.3351	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2276	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2809	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.1820	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.2192	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.3144	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.1993	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.2716	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.2451	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.3651	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2527	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.1773	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2214	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.2258	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2575	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2416	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.1753	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.1903	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.2107	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2499	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.2298	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.2674	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.1864	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.2337	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2535	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.2304	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.1685	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.2676	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.3136	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.2391	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.3405	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.2304	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.2059	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.2325	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2316	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2268	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.3371	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.2283	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.2336	LR: 0.000800
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Training Epoch: 18 [24832/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2522	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.3451	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.3211	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.2707	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.3004	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.2765	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.3334	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2966	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2157	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.3255	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2155	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2177	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.3430	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.3474	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 18 [33024/48750]	Loss: 0.3299	LR: 0.000800
Training Epoch: 18 [33280/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 18 [33536/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 18 [33792/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 18 [34048/48750]	Loss: 0.2636	LR: 0.000800
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Training Epoch: 18 [34560/48750]	Loss: 0.2320	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2484	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.2199	LR: 0.000800
Training Epoch: 18 [35328/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2473	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2206	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2178	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2356	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2065	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.2675	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2181	LR: 0.000800
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Training Epoch: 18 [39168/48750]	Loss: 0.2261	LR: 0.000800
Training Epoch: 18 [39424/48750]	Loss: 0.2708	LR: 0.000800
Training Epoch: 18 [39680/48750]	Loss: 0.2432	LR: 0.000800
Training Epoch: 18 [39936/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.2550	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2291	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.2312	LR: 0.000800
Training Epoch: 18 [40960/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 18 [41216/48750]	Loss: 0.3213	LR: 0.000800
Training Epoch: 18 [41472/48750]	Loss: 0.3018	LR: 0.000800
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Training Epoch: 18 [42240/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.2430	LR: 0.000800
Training Epoch: 18 [42752/48750]	Loss: 0.2915	LR: 0.000800
Training Epoch: 18 [43008/48750]	Loss: 0.2079	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.1919	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.2566	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.3425	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.3384	LR: 0.000800
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Training Epoch: 18 [44800/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.2772	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.3428	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2486	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2197	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.3217	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.3269	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.2149	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.2088	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2465	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2581	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.3257	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2663, Train Accuracy: 0.9071
Epoch 18 training time consumed: 29.45s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8925, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2031	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.2494	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.3141	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.3242	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2338	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.1939	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.1693	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2533	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2003	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2445	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.3069	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2458	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2625	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2790	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.3185	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2102	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2174	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.3379	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.1949	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.3138	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2215	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2987	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2697	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3244	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.3165	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2718	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3156	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2126	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2508	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.3393	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2994	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2175	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2618	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2271	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.3155	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2003	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2811	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2819	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2711	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.1799	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.3020	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2231	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.3109	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2961	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2232	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2278	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2436	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.3208	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2204	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2294	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3228	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2165	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2572	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2897	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2808	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.3924	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.3096	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.3006	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2249	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2841	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2695	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2258	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2127	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3349	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2432	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2246	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.1822	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2262	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2145	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2854	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2054	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2267	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2300	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2169	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.3179	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2800	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2741	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2031	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2132	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2273	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2159	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2163	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2192	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2346	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3334	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.3634	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.3097	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2641, Train Accuracy: 0.9081
Epoch 19 training time consumed: 29.18s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8919, Time consumed:0.87s
Training Epoch: 20 [256/48750]	Loss: 0.2386	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.3451	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.3024	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.3206	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.2618	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.2051	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2390	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2879	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2410	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.3382	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.3343	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2364	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2707	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2496	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2555	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2538	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.3082	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2942	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2546	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.3009	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3118	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2379	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2340	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.2124	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2958	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2239	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2420	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2558	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2447	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.1995	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.3433	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2487	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.1927	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.2105	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2112	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.3524	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2356	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2241	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.3012	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.1751	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2816	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.3289	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2337	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2341	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2367	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2382	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.3378	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.3123	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2994	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2494	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.3216	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.3097	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2057	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2867	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2398	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2597	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2982	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2408	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.3027	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2604	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.3416	LR: 0.000800
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Training Epoch: 20 [28160/48750]	Loss: 0.3084	LR: 0.000800
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Training Epoch: 20 [43008/48750]	Loss: 0.2486	LR: 0.000800
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Training Epoch: 20 [45824/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2953	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2052	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.3153	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.1615	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2336	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2665, Train Accuracy: 0.9057
Epoch 20 training time consumed: 29.03s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8927, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_16h_34m_12s/ResNet18-Cifar10-seed6-ret75-20-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: 89.375
Retain Accuracy: 91.28974914550781
Zero-Retain Forget (ZRF): 0.8281302452087402
Membership Inference Attack (MIA): 0.6208
Forget vs Retain Membership Inference Attack (MIA): 0.51
Forget vs Test Membership Inference Attack (MIA): 0.562
Test vs Retain Membership Inference Attack (MIA): 0.508
Train vs Test Membership Inference Attack (MIA): 0.51225
Forget Set Accuracy (Df): 88.51631164550781
Method Execution Time: 1531.02 seconds
