hello
hello

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

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

📊 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: 2.3374	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3501	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3469	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3385	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3476	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3260	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.3001	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2640	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2559	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2662	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2329	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2147	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.1559	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1549	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1481	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.1125	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.1055	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.1071	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.0793	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.0474	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 2.0288	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.1015	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.9811	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 2.0155	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9831	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.9653	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 2.0149	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.9570	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.9810	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.9454	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.9163	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.9081	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.8452	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8577	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.8934	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8993	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.8113	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.9160	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8006	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.9037	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.9190	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7877	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8241	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7765	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7440	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.8475	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.7845	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.6879	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6982	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7476	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.6735	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7558	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7054	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6992	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.6805	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7449	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.7266	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6601	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7408	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.6636	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7679	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.7358	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.6855	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.6702	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6108	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7168	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6022	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.5524	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6384	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6021	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.6526	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.5994	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.5158	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.5501	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6641	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6043	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.7000	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.6002	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.5463	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6111	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6611	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.6514	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.5508	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.6176	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.6661	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.6345	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.5705	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.6480	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5810	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5794	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.5816	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6445	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.5815	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.6028	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.7508	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.6370	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5473	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.6011	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6127	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.6372	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.6235	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.4954	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.4865	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.5278	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5015	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.4642	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.5635	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.4737	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.4548	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.5885	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.6277	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.4271	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.5429	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.4929	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.4397	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.4652	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.4958	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.4103	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.5210	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.6203	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4407	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.5194	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.4458	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.3991	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.4918	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.4595	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.4576	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.5425	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5764	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.3627	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.3835	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.3623	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5148	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.4654	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.5551	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.4957	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.3420	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4803	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5378	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.5462	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.2908	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.3822	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.3873	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.4004	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.3502	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.3743	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.2679	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.3749	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.3732	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.4580	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.5092	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.5557	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.3751	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.3893	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4889	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.3174	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.4395	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.3823	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.2670	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.3906	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.3871	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4656	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.5404	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4828	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.3896	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.4510	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.4261	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4012	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.4883	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.3914	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.4301	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.4175	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4175	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.4098	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.3547	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.4750	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.2964	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.5031	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4482	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.4159	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3619	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.3961	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.4192	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.3742	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.3380	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.4534	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.3772	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.4642	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.4299	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.4664	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.3667	LR: 0.099476
Epoch 1 - Average Train Loss: 1.6473, Train Accuracy: 0.3894
Epoch 1 training time consumed: 28.12s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0072, Accuracy: 0.3902, Time consumed:1.07s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.4392	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.4248	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.3619	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.4478	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.3383	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.3629	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.2567	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4164	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.2417	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.2116	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.3082	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.4111	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.2680	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.2787	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.3623	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.2835	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.3079	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.5326	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.4338	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.3818	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.1982	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.2993	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.3692	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.3496	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.2025	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.2976	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.4797	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3786	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2269	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.3229	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.3964	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.2360	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.3009	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2431	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.2940	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.2150	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.1996	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2918	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.2898	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.2821	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2891	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.2998	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.1483	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2517	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.3036	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.2282	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.1888	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.2016	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.1460	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.3116	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.1556	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.1177	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.1945	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.0577	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.1656	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2008	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2215	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.2265	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.0718	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.2693	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.0637	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.2827	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.0620	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.2157	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.1422	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.0994	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.1694	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.1826	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.4307	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.1831	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.1400	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.2099	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.3024	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.2195	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.3264	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2342	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.3648	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.1595	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.2447	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.2857	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.1940	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1170	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.1705	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.9624	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.0274	LR: 0.100000
Epoch 2 - Average Train Loss: 1.1859, Train Accuracy: 0.5710
Epoch 2 training time consumed: 27.31s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0046, Accuracy: 0.5880, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.0519	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.8223	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.8893	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.7361	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9804, Train Accuracy: 0.6542
Epoch 3 training time consumed: 27.33s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0043, Accuracy: 0.6496, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9631	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.7833	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8560, Train Accuracy: 0.6989
Epoch 4 training time consumed: 27.51s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0041, Accuracy: 0.6579, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.8820	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.5988	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7568, Train Accuracy: 0.7329
Epoch 5 training time consumed: 27.47s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0039, Accuracy: 0.6828, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.6862	LR: 0.100000
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Training Epoch: 6 [48750/48750]	Loss: 0.5527	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6872, Train Accuracy: 0.7590
Epoch 6 training time consumed: 27.43s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0027, Accuracy: 0.7722, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.5906	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.7313	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.6343	LR: 0.100000
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Training Epoch: 7 [2304/48750]	Loss: 0.6251	LR: 0.100000
Training Epoch: 7 [2560/48750]	Loss: 0.6092	LR: 0.100000
Training Epoch: 7 [2816/48750]	Loss: 0.5965	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.5800	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.6940	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.6733	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.6287	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.5327	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.5963	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.6508	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.7273	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.4901	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.7201	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.7162	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.7056	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.6576	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.6258	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.6959	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.4982	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.5405	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.6577	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.5767	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.6706	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.6748	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.6886	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.6555	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.6014	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.6018	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.7054	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.6419	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.6365	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.7309	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.6269	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.6607	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.5933	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.6717	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.6872	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.6819	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.6377	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.6360	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.5785	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.5900	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.7107	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.7493	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.5939	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.6239	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.7277	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.6117	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.6178	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.7174	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.5274	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.5320	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.5614	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.6282	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.5676	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.6121	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.6458	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.6900	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.5434	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.5903	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.6253	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.5967	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.6216	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.5502	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.6672	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.6519	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.5797	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.6689	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.6370	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.6320	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.6693	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.6318	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.7030	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.5860	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.6041	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.5963	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.5599	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.6280	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.6159	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.6562	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.5363	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.5913	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.7160	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.6697	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.6076	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.6520	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.6952	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.6667	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.7234	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.6932	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.6890	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.5361	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.5884	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.7271	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.5465	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.6083	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.7575	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.6670	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.7559	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.6959	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.7723	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.5682	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.5358	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.6442	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.7244	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.5697	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.7153	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.6029	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.8631	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.5996	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.5931	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.5745	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.6101	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.6311	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.5430	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.6798	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.5963	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.7416	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.6773	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.6449	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.6823	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.6667	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.6518	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.7943	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.5908	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.7204	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.5791	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.6748	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.5755	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.7524	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.6867	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.5425	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.6505	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.7734	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.6210	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.6279	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.6241	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.8310	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.6689	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.6857	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.6241	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.6265	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.7092	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.6978	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.6554	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.7295	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.6103	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.6491	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.5903	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.5583	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.5646	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.5783	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.5868	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.7106	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.5965	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.5659	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.7447	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.4622	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.7168	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.5200	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.5658	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.6397	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.6593	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.6559	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.5655	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.6619	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.5696	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.6241	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.7151	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.6545	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.6512	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.6051	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.6511	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.5789	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.5761	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.6290	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.6541	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.6430	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.6843	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.7252	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.5783	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.5496	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.7797	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6394, Train Accuracy: 0.7768
Epoch 7 training time consumed: 27.44s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0030, Accuracy: 0.7570, Time consumed:0.98s
Training Epoch: 8 [256/48750]	Loss: 0.5435	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.5224	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.5332	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.5733	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.5196	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.6008	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.5963	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.5350	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.5557	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.6285	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.5852	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.5474	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.5506	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.5223	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.5881	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.4947	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.4950	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.6030	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.5057	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.5190	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.5541	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.4927	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.5225	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.5373	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.3973	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.5194	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.4661	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.4399	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.3922	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.4975	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.5030	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.5487	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.5185	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.5514	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.5316	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.5710	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.5335	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.5036	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.4743	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.4805	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.4491	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.5445	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.5954	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.4970	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.4425	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.5041	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.4420	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.6177	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.5935	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.5577	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.5803	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.5263	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.4656	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.5223	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.5409	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4752	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.4432	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4473	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.5045	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.4967	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.4606	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.4696	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.5008	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.3949	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.4878	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4992	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.4281	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.4349	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.4807	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.4635	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.4103	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.4884	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.5151	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.4066	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.4373	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.4845	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.4697	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.5270	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.4771	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.4730	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.3931	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.4635	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.4168	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.3870	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.5731	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.4826	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.4070	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.4566	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.4858	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.5097	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.5044	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.4569	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.5148	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.3840	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.4934	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.4699	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.3870	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.4899	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.3711	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.4662	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.4146	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.4195	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.4152	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.5337	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.4611	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.5256	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.4980	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.4746	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.4616	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.4813	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.5076	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.4068	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.5937	LR: 0.020000
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Training Epoch: 8 [45056/48750]	Loss: 0.4032	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.4712	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4602	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.4070	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.4651	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.5385	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.3939	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4649	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.4698	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.4322	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4081	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.5233	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4717	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4188	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.4971	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.5102	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4880, Train Accuracy: 0.8336
Epoch 8 training time consumed: 27.55s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0018, Accuracy: 0.8456, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4355	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4699	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4661	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4180	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4266	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.5481	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4102	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4257	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.4150	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3870	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4493	LR: 0.020000
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Training Epoch: 9 [43776/48750]	Loss: 0.4651	LR: 0.020000
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Training Epoch: 9 [45824/48750]	Loss: 0.4531	LR: 0.020000
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Training Epoch: 9 [46336/48750]	Loss: 0.4299	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3702	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.4602	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.4340	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4153	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4058	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.4624	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4690	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3652	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.5046	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3463	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4441, Train Accuracy: 0.8470
Epoch 9 training time consumed: 27.55s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0018, Accuracy: 0.8516, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.3544	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3387	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.4334	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.4175	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3214	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.4120	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4946	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.4255	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3831	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.3785	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.4429	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.4599	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.5452	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.4306	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.5309	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.4054	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.3725	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.4746	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.4142	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.4491	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.4270	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.3884	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.4356	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.4360	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.4183	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.3218	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.3635	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.3989	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.4440	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.4020	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.3819	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.3553	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.4414	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.4528	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.4421	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.4630	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.4498	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.3868	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.5331	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.4289	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.5056	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.4528	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.3544	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.4715	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.3718	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.3893	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.4825	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.4117	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.4563	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.4363	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.4227	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.4163	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.4703	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.4324	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.4264	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.3954	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.4455	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.4634	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.3235	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.3618	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.3497	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.4246	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.4473	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.4254	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.3549	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.3756	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.4201	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.3864	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.3414	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.5540	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.3906	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.5171	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.4558	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.4452	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.3907	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.4137	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.4038	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.4656	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.3834	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.3959	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.4708	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.4316	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.4400	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.3882	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.4170	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.5214	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.4587	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.3910	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.4871	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.4023	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.4914	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.4310	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.3851	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.3484	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.4292	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.2838	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.3651	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.3922	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.5168	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.4342	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.2940	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.4068	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.4458	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.5374	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.4169	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.4412	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.3891	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.3915	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.3858	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.4894	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.4278	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.4098	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.4173	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.3318	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.3624	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.4213	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.5596	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.4456	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.2993	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.4737	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.4622	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.4148	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.3646	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.3761	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.4591	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.3646	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.3523	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.3777	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.3440	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.5287	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.4436	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.4282	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.4160	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.4594	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.4434	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.4182	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.4185	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.5633	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.3381	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.4958	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.3915	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.3917	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.4630	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.3778	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.4043	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.4634	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.4435	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.4341	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.4592	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.4582	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.4781	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.4186	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.3887	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.3622	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.5571	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.3806	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.4164	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.4882	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.3992	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.4314	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.4106	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.4026	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.4505	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.4355	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.3880	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.3500	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.4204	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.4188	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.4663	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.4376	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.4209	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.3153	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.4548	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.3959	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.4084	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.4532	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.4286	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.4833	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.4160	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.4888	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.5305	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.3633	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.4585	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.4083	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.3874	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.4061	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.4046	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.4381	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4191	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.4486	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.4884	LR: 0.020000
Epoch 10 - Average Train Loss: 0.4228, Train Accuracy: 0.8529
Epoch 10 training time consumed: 27.39s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0018, Accuracy: 0.8505, Time consumed:0.97s
Training Epoch: 11 [256/48750]	Loss: 0.4051	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3339	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3906	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.3249	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.3710	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.3944	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3880	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.3866	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.3743	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.3851	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.4152	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.3563	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.5135	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.4681	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.4650	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.3982	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.4324	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.3945	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3528	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.4225	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.4118	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.4138	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.3521	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.3215	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.4351	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.3387	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.4323	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.4112	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.3780	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.4707	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3945	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.4470	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.4170	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.3939	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.3843	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.4627	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.3070	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.4039	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.3481	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.4751	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.2992	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.4335	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.4692	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.4834	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.4221	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.4923	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.4271	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.4091	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.3785	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.3459	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.3960	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.4297	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.5096	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.3609	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.3862	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.4371	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.3563	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.4711	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.4447	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.4496	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.3630	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.4400	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.4451	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.3995	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3230	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.3554	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.5272	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.3894	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.4032	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.4437	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.4825	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.3650	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.4222	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.3662	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.4798	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.3670	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.3787	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.4750	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.4302	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.3418	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.3358	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.5244	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.2777	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.4937	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.4750	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.4297	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.3921	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.4706	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.3692	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.3776	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.4178	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.3763	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.4194	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.3331	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.4920	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.3429	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3709	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.4172	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.4177	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.4146	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.3736	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.4871	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.4900	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.5363	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3747	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.4658	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.3676	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.3811	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.4466	LR: 0.020000
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Training Epoch: 11 [30464/48750]	Loss: 0.3934	LR: 0.020000
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Training Epoch: 11 [30976/48750]	Loss: 0.4186	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3587	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.4424	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.3453	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.4070	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.4390	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3955	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3472	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.3340	LR: 0.020000
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Training Epoch: 11 [44288/48750]	Loss: 0.3375	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.4348	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.5206	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.4083	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.4105	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.2698	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.4337	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.3500	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4063	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.3335	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3471	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.4570	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3817	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3603	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.4104	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4392	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.4091	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4039	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3785	LR: 0.020000
Epoch 11 - Average Train Loss: 0.4067, Train Accuracy: 0.8589
Epoch 11 training time consumed: 27.31s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0018, Accuracy: 0.8503, Time consumed:0.94s
Training Epoch: 12 [256/48750]	Loss: 0.3428	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.4244	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.4364	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.3925	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.4175	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3120	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3176	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3768	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3615	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.3610	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.4805	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.4839	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3483	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.4158	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.3377	LR: 0.004000
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Training Epoch: 12 [4608/48750]	Loss: 0.3263	LR: 0.004000
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Training Epoch: 12 [5120/48750]	Loss: 0.3340	LR: 0.004000
Training Epoch: 12 [5376/48750]	Loss: 0.3453	LR: 0.004000
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Training Epoch: 12 [6144/48750]	Loss: 0.3725	LR: 0.004000
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Training Epoch: 12 [16128/48750]	Loss: 0.3251	LR: 0.004000
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Training Epoch: 12 [27904/48750]	Loss: 0.3220	LR: 0.004000
Training Epoch: 12 [28160/48750]	Loss: 0.3967	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.2743	LR: 0.004000
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Training Epoch: 12 [28928/48750]	Loss: 0.3175	LR: 0.004000
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Training Epoch: 12 [29440/48750]	Loss: 0.3556	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.4044	LR: 0.004000
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Training Epoch: 12 [46336/48750]	Loss: 0.3815	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3182	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.3006	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3770	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3434	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.3831	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3858	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3825	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2926	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2764	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.3370	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3575, Train Accuracy: 0.8781
Epoch 12 training time consumed: 27.23s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0015, Accuracy: 0.8682, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.3200	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3913	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3685	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3865	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.3875	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.4145	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.3934	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.3533	LR: 0.004000
Training Epoch: 13 [2304/48750]	Loss: 0.2726	LR: 0.004000
Training Epoch: 13 [2560/48750]	Loss: 0.3291	LR: 0.004000
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Training Epoch: 13 [48128/48750]	Loss: 0.3283	LR: 0.004000
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Training Epoch: 13 [48640/48750]	Loss: 0.3216	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.4078	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3386, Train Accuracy: 0.8835
Epoch 13 training time consumed: 27.28s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0015, Accuracy: 0.8699, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3398	LR: 0.004000
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Training Epoch: 14 [26624/48750]	Loss: 0.3983	LR: 0.004000
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Training Epoch: 14 [45568/48750]	Loss: 0.3430	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.2858	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2942	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.2623	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3159	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2790	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3593	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3440	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.3999	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.3408	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3735	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3127	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2962	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3624	LR: 0.004000
Epoch 14 - Average Train Loss: 0.3366, Train Accuracy: 0.8846
Epoch 14 training time consumed: 27.37s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0015, Accuracy: 0.8725, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.3083	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.2916	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.4102	LR: 0.004000
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Training Epoch: 15 [1792/48750]	Loss: 0.2590	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.2993	LR: 0.004000
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Training Epoch: 15 [46848/48750]	Loss: 0.3439	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.4257	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.3685	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.3529	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3274	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.2425	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2998	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3248	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.4289	LR: 0.004000
Epoch 15 - Average Train Loss: 0.3290, Train Accuracy: 0.8871
Epoch 15 training time consumed: 27.29s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0015, Accuracy: 0.8742, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.3603	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.3902	LR: 0.000800
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Training Epoch: 16 [20480/48750]	Loss: 0.3343	LR: 0.000800
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Training Epoch: 16 [46336/48750]	Loss: 0.3164	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.3555	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2729	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3377	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2709	LR: 0.000800
Epoch 16 - Average Train Loss: 0.3174, Train Accuracy: 0.8906
Epoch 16 training time consumed: 27.40s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0014, Accuracy: 0.8768, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.3029	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.3306	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.3285	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.3253	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.3059	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.4046	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2970	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.3826	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.3600	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2898	LR: 0.000800
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Training Epoch: 17 [4352/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.3626	LR: 0.000800
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Training Epoch: 17 [5376/48750]	Loss: 0.2802	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2823	LR: 0.000800
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Training Epoch: 17 [6144/48750]	Loss: 0.4346	LR: 0.000800
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Training Epoch: 17 [11008/48750]	Loss: 0.3150	LR: 0.000800
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Training Epoch: 17 [25088/48750]	Loss: 0.3338	LR: 0.000800
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Training Epoch: 17 [30976/48750]	Loss: 0.3218	LR: 0.000800
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Training Epoch: 17 [32768/48750]	Loss: 0.3788	LR: 0.000800
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Training Epoch: 17 [43264/48750]	Loss: 0.3392	LR: 0.000800
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Training Epoch: 17 [43776/48750]	Loss: 0.2122	LR: 0.000800
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Training Epoch: 17 [44288/48750]	Loss: 0.3946	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2267	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.3567	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2989	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.4645	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2991	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.3337	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.3598	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.3327	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.2931	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.3426	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.3273	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.3078	LR: 0.000800
Epoch 17 - Average Train Loss: 0.3150, Train Accuracy: 0.8923
Epoch 17 training time consumed: 27.25s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0014, Accuracy: 0.8781, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.2708	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.3318	LR: 0.000800
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Training Epoch: 18 [1280/48750]	Loss: 0.2867	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3404	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.3233	LR: 0.000800
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Training Epoch: 18 [2560/48750]	Loss: 0.3267	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2837	LR: 0.000800
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Training Epoch: 18 [5376/48750]	Loss: 0.3092	LR: 0.000800
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Training Epoch: 18 [12288/48750]	Loss: 0.2891	LR: 0.000800
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Training Epoch: 18 [26880/48750]	Loss: 0.3152	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2805	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.3320	LR: 0.000800
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Training Epoch: 18 [28160/48750]	Loss: 0.3654	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2570	LR: 0.000800
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Training Epoch: 18 [28928/48750]	Loss: 0.3477	LR: 0.000800
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Training Epoch: 18 [30464/48750]	Loss: 0.3312	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2812	LR: 0.000800
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Training Epoch: 18 [32256/48750]	Loss: 0.3047	LR: 0.000800
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Training Epoch: 18 [36096/48750]	Loss: 0.2477	LR: 0.000800
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Training Epoch: 18 [36864/48750]	Loss: 0.2919	LR: 0.000800
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Training Epoch: 18 [37376/48750]	Loss: 0.4035	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.3444	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.3028	LR: 0.000800
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Training Epoch: 18 [40192/48750]	Loss: 0.2413	LR: 0.000800
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Training Epoch: 18 [40704/48750]	Loss: 0.3392	LR: 0.000800
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Training Epoch: 18 [43520/48750]	Loss: 0.3759	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.2658	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2537	LR: 0.000800
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Training Epoch: 18 [44544/48750]	Loss: 0.3096	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.2857	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.3692	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.3145	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.3055	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2344	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.3040	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.3232	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.2838	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.3141	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.3600	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.3936	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.3286	LR: 0.000800
Epoch 18 - Average Train Loss: 0.3120, Train Accuracy: 0.8928
Epoch 18 training time consumed: 27.66s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0014, Accuracy: 0.8790, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.3620	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.3134	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3524	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.3195	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.4140	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2560	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2647	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.3666	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2426	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.3242	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2719	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2934	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.3771	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2547	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.4143	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.3704	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.3194	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.3990	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.3426	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.3136	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.3391	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.3537	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.3721	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2745	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.3173	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2591	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2497	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.3262	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.3436	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.3035	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.3222	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.3853	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.3658	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.3409	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.3098	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.3171	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.4256	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.3252	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.3520	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.3257	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.3075	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.3690	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.3498	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.4045	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.3425	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.3553	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.1992	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.3530	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.3374	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3345	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.3279	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3670	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.3142	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.3432	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.3584	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.3457	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.3238	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.2334	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.3089	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.3466	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.3649	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.3812	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2854	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.3934	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.3115	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.3876	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2821	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.3654	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.3732	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.3039	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.3145	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3052	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2906	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.3664	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.3719	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.4319	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.3513	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.3881	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.3891	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.3484	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2731	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.2615	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.3190	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.3336	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.3634	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.3108	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.3221	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.3166	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.3180	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.3422	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2778	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.3049	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2370	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.3340	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.3129	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.3691	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.3835	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.3187	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.3051	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2761	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.1972	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.3540	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2858	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.3341	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2913	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2661	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.3650	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.3226	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2597	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.3248	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2939	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.2886	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.3031	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2426	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2659	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.3464	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.3981	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.3324	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2971	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2964	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.3234	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.3073	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.4102	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.3134	LR: 0.000800
Epoch 19 - Average Train Loss: 0.3126, Train Accuracy: 0.8927
Epoch 19 training time consumed: 27.21s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0014, Accuracy: 0.8775, Time consumed:0.97s
Training Epoch: 20 [256/48750]	Loss: 0.2855	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2423	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.3349	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.3460	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3861	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.3067	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2923	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.3084	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.3443	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.3101	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.3481	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.3732	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.4347	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.3394	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.3562	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.3797	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.3209	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.3735	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2297	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.3387	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.3266	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2378	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.3461	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.3188	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.3417	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.3254	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.3543	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.3224	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.3868	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.3091	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2938	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.3305	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.3120	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.3564	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.3295	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.3695	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.3561	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.3867	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.3574	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.3516	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2071	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.3408	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.3469	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2923	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.2589	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.3444	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.3763	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.3686	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.3355	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.3083	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2859	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.3681	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.1958	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.3119	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.3174	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.4452	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.3088	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.3957	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.3178	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.3041	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.3521	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2581	LR: 0.000800
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Training Epoch: 20 [32000/48750]	Loss: 0.2924	LR: 0.000800
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Training Epoch: 20 [41984/48750]	Loss: 0.2499	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.3583	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2979	LR: 0.000800
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Training Epoch: 20 [43008/48750]	Loss: 0.2856	LR: 0.000800
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Training Epoch: 20 [44800/48750]	Loss: 0.2933	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.3125	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.3365	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.3509	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.3602	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.3255	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.3622	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.3296	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2754	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2226	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.3120	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3072	LR: 0.000800
Epoch 20 - Average Train Loss: 0.3098, Train Accuracy: 0.8956
Epoch 20 training time consumed: 27.37s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0014, Accuracy: 0.8802, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Sunday_13_July_2025_09h_11m_12s/AllCNN-Cifar10-seed3-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: 88.154296875
Retain Accuracy: 89.99658203125
Zero-Retain Forget (ZRF): 0.8557437658309937
Membership Inference Attack (MIA): 0.4016
Forget vs Retain Membership Inference Attack (MIA): 0.538
Forget vs Test Membership Inference Attack (MIA): 0.548
Test vs Retain Membership Inference Attack (MIA): 0.4965
Train vs Test Membership Inference Attack (MIA): 0.51325
Forget Set Accuracy (Df): 88.14643859863281
Method Execution Time: 1069.88 seconds
