hello
hello

📌 Retain class distribution for seed 4:
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 4:
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: 2.3345	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3381	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3324	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3099	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2950	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2390	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2439	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2136	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2218	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.2451	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.2567	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.1352	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.0867	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.0411	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.0716	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 1.9652	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 1.9386	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 1.9441	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 1.9377	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 2.0370	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.8772	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 2.0013	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.9369	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 1.7840	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9897	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.8228	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.7708	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.7123	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8049	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.8714	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8009	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.8515	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.9655	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.8182	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.7580	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.7670	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 2.0679	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8945	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.8127	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 2.1111	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7667	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 2.1861	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 2.0717	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.9371	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.8807	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7544	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.8628	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.6893	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.7210	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.8124	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.6530	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.7805	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.7782	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.6762	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7868	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.7415	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.6864	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.6671	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.7860	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7444	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.6414	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.5861	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7415	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.7638	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.6070	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.6878	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.7386	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.8287	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6433	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6632	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.7675	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7051	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.5830	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7499	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.6860	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.5840	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.6596	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.5984	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.6283	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.6039	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.6784	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.7308	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.8191	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7842	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.5936	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.8043	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.6922	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.7140	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.7591	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.4949	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6724	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.6815	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.6510	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.7192	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.8228	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.7814	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.6916	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.7964	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.8049	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.7026	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.7248	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.8266	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.7075	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.7852	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.6730	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.7449	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.4993	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.6464	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.5973	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.5441	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5478	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.7108	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.7144	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5852	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.6945	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5290	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5517	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.3770	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.5156	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5080	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.5013	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.5328	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.6981	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.6402	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.5210	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.5846	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.6473	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.6274	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5023	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.6736	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.6071	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.5431	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.6729	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.5196	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.3109	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.5584	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.5425	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.5102	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.7798	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.6471	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.5866	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.6646	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.4942	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.5703	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.7147	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.5092	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.5904	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.7704	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.5290	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.6610	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.4967	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.5091	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.6655	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.5450	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.5750	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.4583	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.4866	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.4687	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.4975	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4694	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.5554	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.6150	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.5277	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4412	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.7071	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.4433	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.5780	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.5860	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.5651	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.4289	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.5040	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.4643	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4389	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.4172	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.5607	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.4052	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.4729	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.3067	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.4726	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.4247	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.3406	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.5119	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.4226	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.4239	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.4096	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.3074	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.2684	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.3554	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.5130	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.2077	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.6149	LR: 0.099476
Epoch 1 - Average Train Loss: 1.7024, Train Accuracy: 0.3786
Epoch 1 training time consumed: 30.02s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0062, Accuracy: 0.4615, Time consumed:1.04s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.3147	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.5252	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.5534	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.3842	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4357	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.3619	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.3134	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.2881	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.6014	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.4145	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.4822	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.5048	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.2767	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.3878	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.2330	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.3595	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.3321	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.2910	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3835	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.2781	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.2341	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.2185	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.2958	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.3814	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3433	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.3805	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.3407	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.3701	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.3372	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.4178	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.3471	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.1980	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.3622	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2736	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.3044	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.3363	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.3311	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.0983	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.2873	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.2961	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.2058	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.1653	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.3415	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.2482	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.0874	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.3648	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.2486	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.3466	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.2153	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.1944	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.2503	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.2338	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.1824	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2241	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.2180	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.2059	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2291	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.1794	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.2293	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.1516	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.1734	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.3353	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.3207	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.3177	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.2387	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2297	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.3238	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2748	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2348	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.3187	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.2088	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1097	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.1157	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.2337	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.1330	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2510	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.3213	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.2192	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.0285	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.1524	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.1998	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1393	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.2086	LR: 0.100000
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Training Epoch: 2 [47616/48750]	Loss: 1.0929	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.9371	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.0586	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2064, Train Accuracy: 0.5671
Epoch 2 training time consumed: 29.39s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0041, Accuracy: 0.6404, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.0305	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.8450	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.9029	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 1.0306	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9474, Train Accuracy: 0.6639
Epoch 3 training time consumed: 29.15s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0042, Accuracy: 0.6646, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9420	LR: 0.100000
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Training Epoch: 4 [48640/48750]	Loss: 0.8276	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 0.7797	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8182, Train Accuracy: 0.7126
Epoch 4 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0030, Accuracy: 0.7422, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.7976	LR: 0.100000
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Training Epoch: 5 [48640/48750]	Loss: 0.6646	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.5206	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7154, Train Accuracy: 0.7505
Epoch 5 training time consumed: 29.39s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0028, Accuracy: 0.7602, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.7088	LR: 0.100000
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Training Epoch: 6 [47872/48750]	Loss: 0.6936	LR: 0.100000
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Training Epoch: 6 [48640/48750]	Loss: 0.6940	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.7804	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6422, Train Accuracy: 0.7773
Epoch 6 training time consumed: 29.43s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0047, Accuracy: 0.6305, Time consumed:0.93s
Training Epoch: 7 [256/48750]	Loss: 0.5066	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.6734	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.6161	LR: 0.100000
Training Epoch: 7 [1024/48750]	Loss: 0.5407	LR: 0.100000
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Training Epoch: 7 [2816/48750]	Loss: 0.6461	LR: 0.100000
Training Epoch: 7 [3072/48750]	Loss: 0.5071	LR: 0.100000
Training Epoch: 7 [3328/48750]	Loss: 0.6414	LR: 0.100000
Training Epoch: 7 [3584/48750]	Loss: 0.6217	LR: 0.100000
Training Epoch: 7 [3840/48750]	Loss: 0.5606	LR: 0.100000
Training Epoch: 7 [4096/48750]	Loss: 0.6331	LR: 0.100000
Training Epoch: 7 [4352/48750]	Loss: 0.5903	LR: 0.100000
Training Epoch: 7 [4608/48750]	Loss: 0.6275	LR: 0.100000
Training Epoch: 7 [4864/48750]	Loss: 0.6315	LR: 0.100000
Training Epoch: 7 [5120/48750]	Loss: 0.7253	LR: 0.100000
Training Epoch: 7 [5376/48750]	Loss: 0.7298	LR: 0.100000
Training Epoch: 7 [5632/48750]	Loss: 0.5128	LR: 0.100000
Training Epoch: 7 [5888/48750]	Loss: 0.6500	LR: 0.100000
Training Epoch: 7 [6144/48750]	Loss: 0.5343	LR: 0.100000
Training Epoch: 7 [6400/48750]	Loss: 0.6924	LR: 0.100000
Training Epoch: 7 [6656/48750]	Loss: 0.4935	LR: 0.100000
Training Epoch: 7 [6912/48750]	Loss: 0.5951	LR: 0.100000
Training Epoch: 7 [7168/48750]	Loss: 0.4660	LR: 0.100000
Training Epoch: 7 [7424/48750]	Loss: 0.5624	LR: 0.100000
Training Epoch: 7 [7680/48750]	Loss: 0.6130	LR: 0.100000
Training Epoch: 7 [7936/48750]	Loss: 0.4632	LR: 0.100000
Training Epoch: 7 [8192/48750]	Loss: 0.6166	LR: 0.100000
Training Epoch: 7 [8448/48750]	Loss: 0.5054	LR: 0.100000
Training Epoch: 7 [8704/48750]	Loss: 0.6755	LR: 0.100000
Training Epoch: 7 [8960/48750]	Loss: 0.6585	LR: 0.100000
Training Epoch: 7 [9216/48750]	Loss: 0.5717	LR: 0.100000
Training Epoch: 7 [9472/48750]	Loss: 0.5653	LR: 0.100000
Training Epoch: 7 [9728/48750]	Loss: 0.6739	LR: 0.100000
Training Epoch: 7 [9984/48750]	Loss: 0.6266	LR: 0.100000
Training Epoch: 7 [10240/48750]	Loss: 0.5653	LR: 0.100000
Training Epoch: 7 [10496/48750]	Loss: 0.5708	LR: 0.100000
Training Epoch: 7 [10752/48750]	Loss: 0.5336	LR: 0.100000
Training Epoch: 7 [11008/48750]	Loss: 0.6088	LR: 0.100000
Training Epoch: 7 [11264/48750]	Loss: 0.5389	LR: 0.100000
Training Epoch: 7 [11520/48750]	Loss: 0.6311	LR: 0.100000
Training Epoch: 7 [11776/48750]	Loss: 0.5979	LR: 0.100000
Training Epoch: 7 [12032/48750]	Loss: 0.6752	LR: 0.100000
Training Epoch: 7 [12288/48750]	Loss: 0.5930	LR: 0.100000
Training Epoch: 7 [12544/48750]	Loss: 0.5412	LR: 0.100000
Training Epoch: 7 [12800/48750]	Loss: 0.5883	LR: 0.100000
Training Epoch: 7 [13056/48750]	Loss: 0.6798	LR: 0.100000
Training Epoch: 7 [13312/48750]	Loss: 0.6700	LR: 0.100000
Training Epoch: 7 [13568/48750]	Loss: 0.6162	LR: 0.100000
Training Epoch: 7 [13824/48750]	Loss: 0.5881	LR: 0.100000
Training Epoch: 7 [14080/48750]	Loss: 0.7683	LR: 0.100000
Training Epoch: 7 [14336/48750]	Loss: 0.6906	LR: 0.100000
Training Epoch: 7 [14592/48750]	Loss: 0.5746	LR: 0.100000
Training Epoch: 7 [14848/48750]	Loss: 0.6196	LR: 0.100000
Training Epoch: 7 [15104/48750]	Loss: 0.6078	LR: 0.100000
Training Epoch: 7 [15360/48750]	Loss: 0.5917	LR: 0.100000
Training Epoch: 7 [15616/48750]	Loss: 0.6848	LR: 0.100000
Training Epoch: 7 [15872/48750]	Loss: 0.5587	LR: 0.100000
Training Epoch: 7 [16128/48750]	Loss: 0.7014	LR: 0.100000
Training Epoch: 7 [16384/48750]	Loss: 0.5946	LR: 0.100000
Training Epoch: 7 [16640/48750]	Loss: 0.5296	LR: 0.100000
Training Epoch: 7 [16896/48750]	Loss: 0.7128	LR: 0.100000
Training Epoch: 7 [17152/48750]	Loss: 0.5479	LR: 0.100000
Training Epoch: 7 [17408/48750]	Loss: 0.5442	LR: 0.100000
Training Epoch: 7 [17664/48750]	Loss: 0.6127	LR: 0.100000
Training Epoch: 7 [17920/48750]	Loss: 0.6083	LR: 0.100000
Training Epoch: 7 [18176/48750]	Loss: 0.5760	LR: 0.100000
Training Epoch: 7 [18432/48750]	Loss: 0.6523	LR: 0.100000
Training Epoch: 7 [18688/48750]	Loss: 0.5566	LR: 0.100000
Training Epoch: 7 [18944/48750]	Loss: 0.5092	LR: 0.100000
Training Epoch: 7 [19200/48750]	Loss: 0.5100	LR: 0.100000
Training Epoch: 7 [19456/48750]	Loss: 0.6102	LR: 0.100000
Training Epoch: 7 [19712/48750]	Loss: 0.5240	LR: 0.100000
Training Epoch: 7 [19968/48750]	Loss: 0.5788	LR: 0.100000
Training Epoch: 7 [20224/48750]	Loss: 0.6384	LR: 0.100000
Training Epoch: 7 [20480/48750]	Loss: 0.6049	LR: 0.100000
Training Epoch: 7 [20736/48750]	Loss: 0.6055	LR: 0.100000
Training Epoch: 7 [20992/48750]	Loss: 0.6313	LR: 0.100000
Training Epoch: 7 [21248/48750]	Loss: 0.6215	LR: 0.100000
Training Epoch: 7 [21504/48750]	Loss: 0.7493	LR: 0.100000
Training Epoch: 7 [21760/48750]	Loss: 0.5109	LR: 0.100000
Training Epoch: 7 [22016/48750]	Loss: 0.5963	LR: 0.100000
Training Epoch: 7 [22272/48750]	Loss: 0.6999	LR: 0.100000
Training Epoch: 7 [22528/48750]	Loss: 0.5491	LR: 0.100000
Training Epoch: 7 [22784/48750]	Loss: 0.6160	LR: 0.100000
Training Epoch: 7 [23040/48750]	Loss: 0.4955	LR: 0.100000
Training Epoch: 7 [23296/48750]	Loss: 0.6681	LR: 0.100000
Training Epoch: 7 [23552/48750]	Loss: 0.6327	LR: 0.100000
Training Epoch: 7 [23808/48750]	Loss: 0.5840	LR: 0.100000
Training Epoch: 7 [24064/48750]	Loss: 0.7247	LR: 0.100000
Training Epoch: 7 [24320/48750]	Loss: 0.6801	LR: 0.100000
Training Epoch: 7 [24576/48750]	Loss: 0.6583	LR: 0.100000
Training Epoch: 7 [24832/48750]	Loss: 0.6474	LR: 0.100000
Training Epoch: 7 [25088/48750]	Loss: 0.5310	LR: 0.100000
Training Epoch: 7 [25344/48750]	Loss: 0.6110	LR: 0.100000
Training Epoch: 7 [25600/48750]	Loss: 0.7854	LR: 0.100000
Training Epoch: 7 [25856/48750]	Loss: 0.5906	LR: 0.100000
Training Epoch: 7 [26112/48750]	Loss: 0.5289	LR: 0.100000
Training Epoch: 7 [26368/48750]	Loss: 0.6227	LR: 0.100000
Training Epoch: 7 [26624/48750]	Loss: 0.6072	LR: 0.100000
Training Epoch: 7 [26880/48750]	Loss: 0.6262	LR: 0.100000
Training Epoch: 7 [27136/48750]	Loss: 0.6132	LR: 0.100000
Training Epoch: 7 [27392/48750]	Loss: 0.6174	LR: 0.100000
Training Epoch: 7 [27648/48750]	Loss: 0.6919	LR: 0.100000
Training Epoch: 7 [27904/48750]	Loss: 0.6153	LR: 0.100000
Training Epoch: 7 [28160/48750]	Loss: 0.5265	LR: 0.100000
Training Epoch: 7 [28416/48750]	Loss: 0.5994	LR: 0.100000
Training Epoch: 7 [28672/48750]	Loss: 0.5671	LR: 0.100000
Training Epoch: 7 [28928/48750]	Loss: 0.5410	LR: 0.100000
Training Epoch: 7 [29184/48750]	Loss: 0.5406	LR: 0.100000
Training Epoch: 7 [29440/48750]	Loss: 0.5134	LR: 0.100000
Training Epoch: 7 [29696/48750]	Loss: 0.5292	LR: 0.100000
Training Epoch: 7 [29952/48750]	Loss: 0.5082	LR: 0.100000
Training Epoch: 7 [30208/48750]	Loss: 0.6598	LR: 0.100000
Training Epoch: 7 [30464/48750]	Loss: 0.6165	LR: 0.100000
Training Epoch: 7 [30720/48750]	Loss: 0.6674	LR: 0.100000
Training Epoch: 7 [30976/48750]	Loss: 0.5781	LR: 0.100000
Training Epoch: 7 [31232/48750]	Loss: 0.6173	LR: 0.100000
Training Epoch: 7 [31488/48750]	Loss: 0.6553	LR: 0.100000
Training Epoch: 7 [31744/48750]	Loss: 0.5988	LR: 0.100000
Training Epoch: 7 [32000/48750]	Loss: 0.6463	LR: 0.100000
Training Epoch: 7 [32256/48750]	Loss: 0.6000	LR: 0.100000
Training Epoch: 7 [32512/48750]	Loss: 0.5048	LR: 0.100000
Training Epoch: 7 [32768/48750]	Loss: 0.7224	LR: 0.100000
Training Epoch: 7 [33024/48750]	Loss: 0.6224	LR: 0.100000
Training Epoch: 7 [33280/48750]	Loss: 0.5679	LR: 0.100000
Training Epoch: 7 [33536/48750]	Loss: 0.5351	LR: 0.100000
Training Epoch: 7 [33792/48750]	Loss: 0.6211	LR: 0.100000
Training Epoch: 7 [34048/48750]	Loss: 0.4785	LR: 0.100000
Training Epoch: 7 [34304/48750]	Loss: 0.5448	LR: 0.100000
Training Epoch: 7 [34560/48750]	Loss: 0.6413	LR: 0.100000
Training Epoch: 7 [34816/48750]	Loss: 0.6547	LR: 0.100000
Training Epoch: 7 [35072/48750]	Loss: 0.5273	LR: 0.100000
Training Epoch: 7 [35328/48750]	Loss: 0.6727	LR: 0.100000
Training Epoch: 7 [35584/48750]	Loss: 0.6676	LR: 0.100000
Training Epoch: 7 [35840/48750]	Loss: 0.5419	LR: 0.100000
Training Epoch: 7 [36096/48750]	Loss: 0.6542	LR: 0.100000
Training Epoch: 7 [36352/48750]	Loss: 0.5012	LR: 0.100000
Training Epoch: 7 [36608/48750]	Loss: 0.5577	LR: 0.100000
Training Epoch: 7 [36864/48750]	Loss: 0.7048	LR: 0.100000
Training Epoch: 7 [37120/48750]	Loss: 0.5819	LR: 0.100000
Training Epoch: 7 [37376/48750]	Loss: 0.6034	LR: 0.100000
Training Epoch: 7 [37632/48750]	Loss: 0.5636	LR: 0.100000
Training Epoch: 7 [37888/48750]	Loss: 0.5424	LR: 0.100000
Training Epoch: 7 [38144/48750]	Loss: 0.6559	LR: 0.100000
Training Epoch: 7 [38400/48750]	Loss: 0.5648	LR: 0.100000
Training Epoch: 7 [38656/48750]	Loss: 0.5146	LR: 0.100000
Training Epoch: 7 [38912/48750]	Loss: 0.5373	LR: 0.100000
Training Epoch: 7 [39168/48750]	Loss: 0.6167	LR: 0.100000
Training Epoch: 7 [39424/48750]	Loss: 0.6582	LR: 0.100000
Training Epoch: 7 [39680/48750]	Loss: 0.6025	LR: 0.100000
Training Epoch: 7 [39936/48750]	Loss: 0.6034	LR: 0.100000
Training Epoch: 7 [40192/48750]	Loss: 0.6461	LR: 0.100000
Training Epoch: 7 [40448/48750]	Loss: 0.6043	LR: 0.100000
Training Epoch: 7 [40704/48750]	Loss: 0.5761	LR: 0.100000
Training Epoch: 7 [40960/48750]	Loss: 0.5734	LR: 0.100000
Training Epoch: 7 [41216/48750]	Loss: 0.5677	LR: 0.100000
Training Epoch: 7 [41472/48750]	Loss: 0.6567	LR: 0.100000
Training Epoch: 7 [41728/48750]	Loss: 0.6197	LR: 0.100000
Training Epoch: 7 [41984/48750]	Loss: 0.7259	LR: 0.100000
Training Epoch: 7 [42240/48750]	Loss: 0.5609	LR: 0.100000
Training Epoch: 7 [42496/48750]	Loss: 0.5378	LR: 0.100000
Training Epoch: 7 [42752/48750]	Loss: 0.6680	LR: 0.100000
Training Epoch: 7 [43008/48750]	Loss: 0.6050	LR: 0.100000
Training Epoch: 7 [43264/48750]	Loss: 0.6209	LR: 0.100000
Training Epoch: 7 [43520/48750]	Loss: 0.5532	LR: 0.100000
Training Epoch: 7 [43776/48750]	Loss: 0.5182	LR: 0.100000
Training Epoch: 7 [44032/48750]	Loss: 0.6066	LR: 0.100000
Training Epoch: 7 [44288/48750]	Loss: 0.6177	LR: 0.100000
Training Epoch: 7 [44544/48750]	Loss: 0.5245	LR: 0.100000
Training Epoch: 7 [44800/48750]	Loss: 0.5139	LR: 0.100000
Training Epoch: 7 [45056/48750]	Loss: 0.4936	LR: 0.100000
Training Epoch: 7 [45312/48750]	Loss: 0.5588	LR: 0.100000
Training Epoch: 7 [45568/48750]	Loss: 0.6185	LR: 0.100000
Training Epoch: 7 [45824/48750]	Loss: 0.6657	LR: 0.100000
Training Epoch: 7 [46080/48750]	Loss: 0.6505	LR: 0.100000
Training Epoch: 7 [46336/48750]	Loss: 0.6765	LR: 0.100000
Training Epoch: 7 [46592/48750]	Loss: 0.5436	LR: 0.100000
Training Epoch: 7 [46848/48750]	Loss: 0.6517	LR: 0.100000
Training Epoch: 7 [47104/48750]	Loss: 0.5202	LR: 0.100000
Training Epoch: 7 [47360/48750]	Loss: 0.7157	LR: 0.100000
Training Epoch: 7 [47616/48750]	Loss: 0.6748	LR: 0.100000
Training Epoch: 7 [47872/48750]	Loss: 0.5427	LR: 0.100000
Training Epoch: 7 [48128/48750]	Loss: 0.5964	LR: 0.100000
Training Epoch: 7 [48384/48750]	Loss: 0.4884	LR: 0.100000
Training Epoch: 7 [48640/48750]	Loss: 0.7590	LR: 0.100000
Training Epoch: 7 [48750/48750]	Loss: 0.6843	LR: 0.100000
Epoch 7 - Average Train Loss: 0.6013, Train Accuracy: 0.7903
Epoch 7 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0038, Accuracy: 0.6948, Time consumed:0.89s
Training Epoch: 8 [256/48750]	Loss: 0.4994	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.5140	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.4497	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.5076	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.5975	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.6280	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.3699	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.5108	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.4652	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.5025	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.4266	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.4780	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.4774	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.5786	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.4538	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.5168	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.4980	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.4116	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.5080	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.4635	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.3875	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.4248	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.5140	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.4294	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.4995	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.5366	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.4952	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.4412	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.4837	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.4457	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.4468	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.4612	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.4184	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.5811	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.4391	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.3627	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.4286	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.4415	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.3958	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.4016	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.4509	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.3519	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.4831	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.3466	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.5028	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.4732	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.4528	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.4375	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.4744	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.4999	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.4484	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.4519	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.4065	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.4048	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.5288	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.4309	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.5215	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.4455	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.4296	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.4552	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.4070	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.4700	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.4103	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.4188	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.5547	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.4446	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.3981	LR: 0.020000
Training Epoch: 8 [17408/48750]	Loss: 0.3674	LR: 0.020000
Training Epoch: 8 [17664/48750]	Loss: 0.4546	LR: 0.020000
Training Epoch: 8 [17920/48750]	Loss: 0.4300	LR: 0.020000
Training Epoch: 8 [18176/48750]	Loss: 0.5599	LR: 0.020000
Training Epoch: 8 [18432/48750]	Loss: 0.4853	LR: 0.020000
Training Epoch: 8 [18688/48750]	Loss: 0.3954	LR: 0.020000
Training Epoch: 8 [18944/48750]	Loss: 0.4041	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.4675	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.4265	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.4095	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.4258	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.4252	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.5046	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.5166	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.4205	LR: 0.020000
Training Epoch: 8 [21248/48750]	Loss: 0.3628	LR: 0.020000
Training Epoch: 8 [21504/48750]	Loss: 0.4395	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.3226	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.6263	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.3812	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.5575	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.3700	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.5610	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.3878	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.4623	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.4826	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.4295	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.4405	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.3480	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.4654	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.4062	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.5170	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.4123	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.4702	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.3817	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.4049	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.4741	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.3190	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.5491	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.3578	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.3620	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.4034	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.3963	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.4691	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.4243	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.4542	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.3984	LR: 0.020000
Training Epoch: 8 [29440/48750]	Loss: 0.4203	LR: 0.020000
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Training Epoch: 8 [46080/48750]	Loss: 0.4048	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4873	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.5320	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4242	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3478	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.3950	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.4886	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.3388	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.5169	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.4619	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.3544	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.4258	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4464, Train Accuracy: 0.8446
Epoch 8 training time consumed: 29.21s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0017, Accuracy: 0.8553, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4239	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4420	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.4178	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4654	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4417	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.3987	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.4468	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.4364	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.3474	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3130	LR: 0.020000
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Training Epoch: 9 [46336/48750]	Loss: 0.3353	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.4634	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.4747	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3933	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4297	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.3300	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.3619	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.4975	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.3783	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3745	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.5173	LR: 0.020000
Epoch 9 - Average Train Loss: 0.4029, Train Accuracy: 0.8596
Epoch 9 training time consumed: 29.34s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8652, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.4649	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3690	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.2941	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.4373	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3463	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3380	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.4456	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.4130	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3937	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.4258	LR: 0.020000
Training Epoch: 10 [2816/48750]	Loss: 0.4025	LR: 0.020000
Training Epoch: 10 [3072/48750]	Loss: 0.3839	LR: 0.020000
Training Epoch: 10 [3328/48750]	Loss: 0.2718	LR: 0.020000
Training Epoch: 10 [3584/48750]	Loss: 0.3791	LR: 0.020000
Training Epoch: 10 [3840/48750]	Loss: 0.4040	LR: 0.020000
Training Epoch: 10 [4096/48750]	Loss: 0.3800	LR: 0.020000
Training Epoch: 10 [4352/48750]	Loss: 0.4009	LR: 0.020000
Training Epoch: 10 [4608/48750]	Loss: 0.3759	LR: 0.020000
Training Epoch: 10 [4864/48750]	Loss: 0.3693	LR: 0.020000
Training Epoch: 10 [5120/48750]	Loss: 0.3661	LR: 0.020000
Training Epoch: 10 [5376/48750]	Loss: 0.3921	LR: 0.020000
Training Epoch: 10 [5632/48750]	Loss: 0.4084	LR: 0.020000
Training Epoch: 10 [5888/48750]	Loss: 0.4072	LR: 0.020000
Training Epoch: 10 [6144/48750]	Loss: 0.4607	LR: 0.020000
Training Epoch: 10 [6400/48750]	Loss: 0.3913	LR: 0.020000
Training Epoch: 10 [6656/48750]	Loss: 0.3911	LR: 0.020000
Training Epoch: 10 [6912/48750]	Loss: 0.3881	LR: 0.020000
Training Epoch: 10 [7168/48750]	Loss: 0.3286	LR: 0.020000
Training Epoch: 10 [7424/48750]	Loss: 0.4193	LR: 0.020000
Training Epoch: 10 [7680/48750]	Loss: 0.4227	LR: 0.020000
Training Epoch: 10 [7936/48750]	Loss: 0.4403	LR: 0.020000
Training Epoch: 10 [8192/48750]	Loss: 0.3630	LR: 0.020000
Training Epoch: 10 [8448/48750]	Loss: 0.4851	LR: 0.020000
Training Epoch: 10 [8704/48750]	Loss: 0.3913	LR: 0.020000
Training Epoch: 10 [8960/48750]	Loss: 0.3961	LR: 0.020000
Training Epoch: 10 [9216/48750]	Loss: 0.3339	LR: 0.020000
Training Epoch: 10 [9472/48750]	Loss: 0.3863	LR: 0.020000
Training Epoch: 10 [9728/48750]	Loss: 0.3502	LR: 0.020000
Training Epoch: 10 [9984/48750]	Loss: 0.3215	LR: 0.020000
Training Epoch: 10 [10240/48750]	Loss: 0.4191	LR: 0.020000
Training Epoch: 10 [10496/48750]	Loss: 0.3608	LR: 0.020000
Training Epoch: 10 [10752/48750]	Loss: 0.4101	LR: 0.020000
Training Epoch: 10 [11008/48750]	Loss: 0.2914	LR: 0.020000
Training Epoch: 10 [11264/48750]	Loss: 0.4146	LR: 0.020000
Training Epoch: 10 [11520/48750]	Loss: 0.4217	LR: 0.020000
Training Epoch: 10 [11776/48750]	Loss: 0.3716	LR: 0.020000
Training Epoch: 10 [12032/48750]	Loss: 0.3884	LR: 0.020000
Training Epoch: 10 [12288/48750]	Loss: 0.3817	LR: 0.020000
Training Epoch: 10 [12544/48750]	Loss: 0.4679	LR: 0.020000
Training Epoch: 10 [12800/48750]	Loss: 0.3333	LR: 0.020000
Training Epoch: 10 [13056/48750]	Loss: 0.3751	LR: 0.020000
Training Epoch: 10 [13312/48750]	Loss: 0.4406	LR: 0.020000
Training Epoch: 10 [13568/48750]	Loss: 0.3386	LR: 0.020000
Training Epoch: 10 [13824/48750]	Loss: 0.3851	LR: 0.020000
Training Epoch: 10 [14080/48750]	Loss: 0.2897	LR: 0.020000
Training Epoch: 10 [14336/48750]	Loss: 0.3890	LR: 0.020000
Training Epoch: 10 [14592/48750]	Loss: 0.3445	LR: 0.020000
Training Epoch: 10 [14848/48750]	Loss: 0.4355	LR: 0.020000
Training Epoch: 10 [15104/48750]	Loss: 0.4227	LR: 0.020000
Training Epoch: 10 [15360/48750]	Loss: 0.3944	LR: 0.020000
Training Epoch: 10 [15616/48750]	Loss: 0.3715	LR: 0.020000
Training Epoch: 10 [15872/48750]	Loss: 0.4629	LR: 0.020000
Training Epoch: 10 [16128/48750]	Loss: 0.3806	LR: 0.020000
Training Epoch: 10 [16384/48750]	Loss: 0.4220	LR: 0.020000
Training Epoch: 10 [16640/48750]	Loss: 0.4047	LR: 0.020000
Training Epoch: 10 [16896/48750]	Loss: 0.3706	LR: 0.020000
Training Epoch: 10 [17152/48750]	Loss: 0.4226	LR: 0.020000
Training Epoch: 10 [17408/48750]	Loss: 0.4341	LR: 0.020000
Training Epoch: 10 [17664/48750]	Loss: 0.4152	LR: 0.020000
Training Epoch: 10 [17920/48750]	Loss: 0.3227	LR: 0.020000
Training Epoch: 10 [18176/48750]	Loss: 0.3543	LR: 0.020000
Training Epoch: 10 [18432/48750]	Loss: 0.3173	LR: 0.020000
Training Epoch: 10 [18688/48750]	Loss: 0.4106	LR: 0.020000
Training Epoch: 10 [18944/48750]	Loss: 0.3158	LR: 0.020000
Training Epoch: 10 [19200/48750]	Loss: 0.5076	LR: 0.020000
Training Epoch: 10 [19456/48750]	Loss: 0.3456	LR: 0.020000
Training Epoch: 10 [19712/48750]	Loss: 0.3557	LR: 0.020000
Training Epoch: 10 [19968/48750]	Loss: 0.3654	LR: 0.020000
Training Epoch: 10 [20224/48750]	Loss: 0.3989	LR: 0.020000
Training Epoch: 10 [20480/48750]	Loss: 0.4056	LR: 0.020000
Training Epoch: 10 [20736/48750]	Loss: 0.3391	LR: 0.020000
Training Epoch: 10 [20992/48750]	Loss: 0.4633	LR: 0.020000
Training Epoch: 10 [21248/48750]	Loss: 0.3884	LR: 0.020000
Training Epoch: 10 [21504/48750]	Loss: 0.3734	LR: 0.020000
Training Epoch: 10 [21760/48750]	Loss: 0.4241	LR: 0.020000
Training Epoch: 10 [22016/48750]	Loss: 0.4263	LR: 0.020000
Training Epoch: 10 [22272/48750]	Loss: 0.4307	LR: 0.020000
Training Epoch: 10 [22528/48750]	Loss: 0.4282	LR: 0.020000
Training Epoch: 10 [22784/48750]	Loss: 0.3959	LR: 0.020000
Training Epoch: 10 [23040/48750]	Loss: 0.3608	LR: 0.020000
Training Epoch: 10 [23296/48750]	Loss: 0.3596	LR: 0.020000
Training Epoch: 10 [23552/48750]	Loss: 0.3300	LR: 0.020000
Training Epoch: 10 [23808/48750]	Loss: 0.3482	LR: 0.020000
Training Epoch: 10 [24064/48750]	Loss: 0.4189	LR: 0.020000
Training Epoch: 10 [24320/48750]	Loss: 0.4795	LR: 0.020000
Training Epoch: 10 [24576/48750]	Loss: 0.3648	LR: 0.020000
Training Epoch: 10 [24832/48750]	Loss: 0.3761	LR: 0.020000
Training Epoch: 10 [25088/48750]	Loss: 0.3831	LR: 0.020000
Training Epoch: 10 [25344/48750]	Loss: 0.3748	LR: 0.020000
Training Epoch: 10 [25600/48750]	Loss: 0.4079	LR: 0.020000
Training Epoch: 10 [25856/48750]	Loss: 0.3647	LR: 0.020000
Training Epoch: 10 [26112/48750]	Loss: 0.3446	LR: 0.020000
Training Epoch: 10 [26368/48750]	Loss: 0.3683	LR: 0.020000
Training Epoch: 10 [26624/48750]	Loss: 0.3777	LR: 0.020000
Training Epoch: 10 [26880/48750]	Loss: 0.2794	LR: 0.020000
Training Epoch: 10 [27136/48750]	Loss: 0.3881	LR: 0.020000
Training Epoch: 10 [27392/48750]	Loss: 0.4986	LR: 0.020000
Training Epoch: 10 [27648/48750]	Loss: 0.4991	LR: 0.020000
Training Epoch: 10 [27904/48750]	Loss: 0.4247	LR: 0.020000
Training Epoch: 10 [28160/48750]	Loss: 0.2792	LR: 0.020000
Training Epoch: 10 [28416/48750]	Loss: 0.3714	LR: 0.020000
Training Epoch: 10 [28672/48750]	Loss: 0.4095	LR: 0.020000
Training Epoch: 10 [28928/48750]	Loss: 0.4074	LR: 0.020000
Training Epoch: 10 [29184/48750]	Loss: 0.2947	LR: 0.020000
Training Epoch: 10 [29440/48750]	Loss: 0.3708	LR: 0.020000
Training Epoch: 10 [29696/48750]	Loss: 0.4568	LR: 0.020000
Training Epoch: 10 [29952/48750]	Loss: 0.4681	LR: 0.020000
Training Epoch: 10 [30208/48750]	Loss: 0.3570	LR: 0.020000
Training Epoch: 10 [30464/48750]	Loss: 0.3527	LR: 0.020000
Training Epoch: 10 [30720/48750]	Loss: 0.3444	LR: 0.020000
Training Epoch: 10 [30976/48750]	Loss: 0.4124	LR: 0.020000
Training Epoch: 10 [31232/48750]	Loss: 0.3472	LR: 0.020000
Training Epoch: 10 [31488/48750]	Loss: 0.3684	LR: 0.020000
Training Epoch: 10 [31744/48750]	Loss: 0.3168	LR: 0.020000
Training Epoch: 10 [32000/48750]	Loss: 0.3003	LR: 0.020000
Training Epoch: 10 [32256/48750]	Loss: 0.3188	LR: 0.020000
Training Epoch: 10 [32512/48750]	Loss: 0.4812	LR: 0.020000
Training Epoch: 10 [32768/48750]	Loss: 0.4171	LR: 0.020000
Training Epoch: 10 [33024/48750]	Loss: 0.3621	LR: 0.020000
Training Epoch: 10 [33280/48750]	Loss: 0.3322	LR: 0.020000
Training Epoch: 10 [33536/48750]	Loss: 0.3473	LR: 0.020000
Training Epoch: 10 [33792/48750]	Loss: 0.4698	LR: 0.020000
Training Epoch: 10 [34048/48750]	Loss: 0.4406	LR: 0.020000
Training Epoch: 10 [34304/48750]	Loss: 0.3766	LR: 0.020000
Training Epoch: 10 [34560/48750]	Loss: 0.4138	LR: 0.020000
Training Epoch: 10 [34816/48750]	Loss: 0.3464	LR: 0.020000
Training Epoch: 10 [35072/48750]	Loss: 0.3544	LR: 0.020000
Training Epoch: 10 [35328/48750]	Loss: 0.2814	LR: 0.020000
Training Epoch: 10 [35584/48750]	Loss: 0.3595	LR: 0.020000
Training Epoch: 10 [35840/48750]	Loss: 0.3749	LR: 0.020000
Training Epoch: 10 [36096/48750]	Loss: 0.3075	LR: 0.020000
Training Epoch: 10 [36352/48750]	Loss: 0.3788	LR: 0.020000
Training Epoch: 10 [36608/48750]	Loss: 0.3411	LR: 0.020000
Training Epoch: 10 [36864/48750]	Loss: 0.4081	LR: 0.020000
Training Epoch: 10 [37120/48750]	Loss: 0.3873	LR: 0.020000
Training Epoch: 10 [37376/48750]	Loss: 0.3940	LR: 0.020000
Training Epoch: 10 [37632/48750]	Loss: 0.4529	LR: 0.020000
Training Epoch: 10 [37888/48750]	Loss: 0.3472	LR: 0.020000
Training Epoch: 10 [38144/48750]	Loss: 0.4830	LR: 0.020000
Training Epoch: 10 [38400/48750]	Loss: 0.3192	LR: 0.020000
Training Epoch: 10 [38656/48750]	Loss: 0.2814	LR: 0.020000
Training Epoch: 10 [38912/48750]	Loss: 0.3772	LR: 0.020000
Training Epoch: 10 [39168/48750]	Loss: 0.3736	LR: 0.020000
Training Epoch: 10 [39424/48750]	Loss: 0.3668	LR: 0.020000
Training Epoch: 10 [39680/48750]	Loss: 0.4268	LR: 0.020000
Training Epoch: 10 [39936/48750]	Loss: 0.4755	LR: 0.020000
Training Epoch: 10 [40192/48750]	Loss: 0.3896	LR: 0.020000
Training Epoch: 10 [40448/48750]	Loss: 0.4071	LR: 0.020000
Training Epoch: 10 [40704/48750]	Loss: 0.4393	LR: 0.020000
Training Epoch: 10 [40960/48750]	Loss: 0.3089	LR: 0.020000
Training Epoch: 10 [41216/48750]	Loss: 0.3770	LR: 0.020000
Training Epoch: 10 [41472/48750]	Loss: 0.3094	LR: 0.020000
Training Epoch: 10 [41728/48750]	Loss: 0.3472	LR: 0.020000
Training Epoch: 10 [41984/48750]	Loss: 0.3282	LR: 0.020000
Training Epoch: 10 [42240/48750]	Loss: 0.3412	LR: 0.020000
Training Epoch: 10 [42496/48750]	Loss: 0.4158	LR: 0.020000
Training Epoch: 10 [42752/48750]	Loss: 0.4431	LR: 0.020000
Training Epoch: 10 [43008/48750]	Loss: 0.4807	LR: 0.020000
Training Epoch: 10 [43264/48750]	Loss: 0.2962	LR: 0.020000
Training Epoch: 10 [43520/48750]	Loss: 0.4177	LR: 0.020000
Training Epoch: 10 [43776/48750]	Loss: 0.4807	LR: 0.020000
Training Epoch: 10 [44032/48750]	Loss: 0.3910	LR: 0.020000
Training Epoch: 10 [44288/48750]	Loss: 0.3692	LR: 0.020000
Training Epoch: 10 [44544/48750]	Loss: 0.4645	LR: 0.020000
Training Epoch: 10 [44800/48750]	Loss: 0.3827	LR: 0.020000
Training Epoch: 10 [45056/48750]	Loss: 0.3308	LR: 0.020000
Training Epoch: 10 [45312/48750]	Loss: 0.3550	LR: 0.020000
Training Epoch: 10 [45568/48750]	Loss: 0.2689	LR: 0.020000
Training Epoch: 10 [45824/48750]	Loss: 0.3662	LR: 0.020000
Training Epoch: 10 [46080/48750]	Loss: 0.3870	LR: 0.020000
Training Epoch: 10 [46336/48750]	Loss: 0.3851	LR: 0.020000
Training Epoch: 10 [46592/48750]	Loss: 0.4180	LR: 0.020000
Training Epoch: 10 [46848/48750]	Loss: 0.4052	LR: 0.020000
Training Epoch: 10 [47104/48750]	Loss: 0.4166	LR: 0.020000
Training Epoch: 10 [47360/48750]	Loss: 0.3406	LR: 0.020000
Training Epoch: 10 [47616/48750]	Loss: 0.3340	LR: 0.020000
Training Epoch: 10 [47872/48750]	Loss: 0.2925	LR: 0.020000
Training Epoch: 10 [48128/48750]	Loss: 0.3339	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4053	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.4377	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.2839	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3836, Train Accuracy: 0.8661
Epoch 10 training time consumed: 29.28s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0016, Accuracy: 0.8624, Time consumed:0.89s
Training Epoch: 11 [256/48750]	Loss: 0.4039	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3675	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.3502	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.2782	LR: 0.020000
Training Epoch: 11 [1280/48750]	Loss: 0.3485	LR: 0.020000
Training Epoch: 11 [1536/48750]	Loss: 0.3777	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3181	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.3502	LR: 0.020000
Training Epoch: 11 [2304/48750]	Loss: 0.3269	LR: 0.020000
Training Epoch: 11 [2560/48750]	Loss: 0.3563	LR: 0.020000
Training Epoch: 11 [2816/48750]	Loss: 0.3284	LR: 0.020000
Training Epoch: 11 [3072/48750]	Loss: 0.2678	LR: 0.020000
Training Epoch: 11 [3328/48750]	Loss: 0.3923	LR: 0.020000
Training Epoch: 11 [3584/48750]	Loss: 0.2755	LR: 0.020000
Training Epoch: 11 [3840/48750]	Loss: 0.3652	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.4208	LR: 0.020000
Training Epoch: 11 [4352/48750]	Loss: 0.4217	LR: 0.020000
Training Epoch: 11 [4608/48750]	Loss: 0.3967	LR: 0.020000
Training Epoch: 11 [4864/48750]	Loss: 0.3364	LR: 0.020000
Training Epoch: 11 [5120/48750]	Loss: 0.4712	LR: 0.020000
Training Epoch: 11 [5376/48750]	Loss: 0.2948	LR: 0.020000
Training Epoch: 11 [5632/48750]	Loss: 0.3460	LR: 0.020000
Training Epoch: 11 [5888/48750]	Loss: 0.3983	LR: 0.020000
Training Epoch: 11 [6144/48750]	Loss: 0.4367	LR: 0.020000
Training Epoch: 11 [6400/48750]	Loss: 0.3809	LR: 0.020000
Training Epoch: 11 [6656/48750]	Loss: 0.4052	LR: 0.020000
Training Epoch: 11 [6912/48750]	Loss: 0.3726	LR: 0.020000
Training Epoch: 11 [7168/48750]	Loss: 0.3094	LR: 0.020000
Training Epoch: 11 [7424/48750]	Loss: 0.3504	LR: 0.020000
Training Epoch: 11 [7680/48750]	Loss: 0.3336	LR: 0.020000
Training Epoch: 11 [7936/48750]	Loss: 0.3487	LR: 0.020000
Training Epoch: 11 [8192/48750]	Loss: 0.3799	LR: 0.020000
Training Epoch: 11 [8448/48750]	Loss: 0.3392	LR: 0.020000
Training Epoch: 11 [8704/48750]	Loss: 0.3416	LR: 0.020000
Training Epoch: 11 [8960/48750]	Loss: 0.3211	LR: 0.020000
Training Epoch: 11 [9216/48750]	Loss: 0.2958	LR: 0.020000
Training Epoch: 11 [9472/48750]	Loss: 0.4441	LR: 0.020000
Training Epoch: 11 [9728/48750]	Loss: 0.3848	LR: 0.020000
Training Epoch: 11 [9984/48750]	Loss: 0.3794	LR: 0.020000
Training Epoch: 11 [10240/48750]	Loss: 0.3616	LR: 0.020000
Training Epoch: 11 [10496/48750]	Loss: 0.2893	LR: 0.020000
Training Epoch: 11 [10752/48750]	Loss: 0.4278	LR: 0.020000
Training Epoch: 11 [11008/48750]	Loss: 0.3226	LR: 0.020000
Training Epoch: 11 [11264/48750]	Loss: 0.3047	LR: 0.020000
Training Epoch: 11 [11520/48750]	Loss: 0.3656	LR: 0.020000
Training Epoch: 11 [11776/48750]	Loss: 0.4355	LR: 0.020000
Training Epoch: 11 [12032/48750]	Loss: 0.2904	LR: 0.020000
Training Epoch: 11 [12288/48750]	Loss: 0.3073	LR: 0.020000
Training Epoch: 11 [12544/48750]	Loss: 0.3054	LR: 0.020000
Training Epoch: 11 [12800/48750]	Loss: 0.3299	LR: 0.020000
Training Epoch: 11 [13056/48750]	Loss: 0.4249	LR: 0.020000
Training Epoch: 11 [13312/48750]	Loss: 0.2792	LR: 0.020000
Training Epoch: 11 [13568/48750]	Loss: 0.3128	LR: 0.020000
Training Epoch: 11 [13824/48750]	Loss: 0.3715	LR: 0.020000
Training Epoch: 11 [14080/48750]	Loss: 0.4018	LR: 0.020000
Training Epoch: 11 [14336/48750]	Loss: 0.4556	LR: 0.020000
Training Epoch: 11 [14592/48750]	Loss: 0.3818	LR: 0.020000
Training Epoch: 11 [14848/48750]	Loss: 0.3724	LR: 0.020000
Training Epoch: 11 [15104/48750]	Loss: 0.3530	LR: 0.020000
Training Epoch: 11 [15360/48750]	Loss: 0.4363	LR: 0.020000
Training Epoch: 11 [15616/48750]	Loss: 0.4766	LR: 0.020000
Training Epoch: 11 [15872/48750]	Loss: 0.4611	LR: 0.020000
Training Epoch: 11 [16128/48750]	Loss: 0.3287	LR: 0.020000
Training Epoch: 11 [16384/48750]	Loss: 0.4529	LR: 0.020000
Training Epoch: 11 [16640/48750]	Loss: 0.3139	LR: 0.020000
Training Epoch: 11 [16896/48750]	Loss: 0.3239	LR: 0.020000
Training Epoch: 11 [17152/48750]	Loss: 0.3224	LR: 0.020000
Training Epoch: 11 [17408/48750]	Loss: 0.3886	LR: 0.020000
Training Epoch: 11 [17664/48750]	Loss: 0.3011	LR: 0.020000
Training Epoch: 11 [17920/48750]	Loss: 0.2635	LR: 0.020000
Training Epoch: 11 [18176/48750]	Loss: 0.3721	LR: 0.020000
Training Epoch: 11 [18432/48750]	Loss: 0.3883	LR: 0.020000
Training Epoch: 11 [18688/48750]	Loss: 0.3934	LR: 0.020000
Training Epoch: 11 [18944/48750]	Loss: 0.3847	LR: 0.020000
Training Epoch: 11 [19200/48750]	Loss: 0.3636	LR: 0.020000
Training Epoch: 11 [19456/48750]	Loss: 0.3751	LR: 0.020000
Training Epoch: 11 [19712/48750]	Loss: 0.3725	LR: 0.020000
Training Epoch: 11 [19968/48750]	Loss: 0.2826	LR: 0.020000
Training Epoch: 11 [20224/48750]	Loss: 0.4061	LR: 0.020000
Training Epoch: 11 [20480/48750]	Loss: 0.3488	LR: 0.020000
Training Epoch: 11 [20736/48750]	Loss: 0.3609	LR: 0.020000
Training Epoch: 11 [20992/48750]	Loss: 0.3307	LR: 0.020000
Training Epoch: 11 [21248/48750]	Loss: 0.2844	LR: 0.020000
Training Epoch: 11 [21504/48750]	Loss: 0.3720	LR: 0.020000
Training Epoch: 11 [21760/48750]	Loss: 0.3240	LR: 0.020000
Training Epoch: 11 [22016/48750]	Loss: 0.3333	LR: 0.020000
Training Epoch: 11 [22272/48750]	Loss: 0.3362	LR: 0.020000
Training Epoch: 11 [22528/48750]	Loss: 0.3071	LR: 0.020000
Training Epoch: 11 [22784/48750]	Loss: 0.3465	LR: 0.020000
Training Epoch: 11 [23040/48750]	Loss: 0.3638	LR: 0.020000
Training Epoch: 11 [23296/48750]	Loss: 0.4169	LR: 0.020000
Training Epoch: 11 [23552/48750]	Loss: 0.3091	LR: 0.020000
Training Epoch: 11 [23808/48750]	Loss: 0.2904	LR: 0.020000
Training Epoch: 11 [24064/48750]	Loss: 0.3362	LR: 0.020000
Training Epoch: 11 [24320/48750]	Loss: 0.3012	LR: 0.020000
Training Epoch: 11 [24576/48750]	Loss: 0.3527	LR: 0.020000
Training Epoch: 11 [24832/48750]	Loss: 0.3310	LR: 0.020000
Training Epoch: 11 [25088/48750]	Loss: 0.3021	LR: 0.020000
Training Epoch: 11 [25344/48750]	Loss: 0.3507	LR: 0.020000
Training Epoch: 11 [25600/48750]	Loss: 0.3158	LR: 0.020000
Training Epoch: 11 [25856/48750]	Loss: 0.4352	LR: 0.020000
Training Epoch: 11 [26112/48750]	Loss: 0.4467	LR: 0.020000
Training Epoch: 11 [26368/48750]	Loss: 0.4347	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.2982	LR: 0.020000
Training Epoch: 11 [26880/48750]	Loss: 0.3555	LR: 0.020000
Training Epoch: 11 [27136/48750]	Loss: 0.4355	LR: 0.020000
Training Epoch: 11 [27392/48750]	Loss: 0.2709	LR: 0.020000
Training Epoch: 11 [27648/48750]	Loss: 0.3812	LR: 0.020000
Training Epoch: 11 [27904/48750]	Loss: 0.3008	LR: 0.020000
Training Epoch: 11 [28160/48750]	Loss: 0.3827	LR: 0.020000
Training Epoch: 11 [28416/48750]	Loss: 0.3993	LR: 0.020000
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Training Epoch: 11 [30208/48750]	Loss: 0.3166	LR: 0.020000
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Training Epoch: 11 [30720/48750]	Loss: 0.3865	LR: 0.020000
Training Epoch: 11 [30976/48750]	Loss: 0.2475	LR: 0.020000
Training Epoch: 11 [31232/48750]	Loss: 0.3521	LR: 0.020000
Training Epoch: 11 [31488/48750]	Loss: 0.4143	LR: 0.020000
Training Epoch: 11 [31744/48750]	Loss: 0.4125	LR: 0.020000
Training Epoch: 11 [32000/48750]	Loss: 0.4373	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.3407	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.4301	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.4181	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.3919	LR: 0.020000
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Training Epoch: 11 [33536/48750]	Loss: 0.4036	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.3914	LR: 0.020000
Training Epoch: 11 [44032/48750]	Loss: 0.3936	LR: 0.020000
Training Epoch: 11 [44288/48750]	Loss: 0.3942	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3727	LR: 0.020000
Training Epoch: 11 [44800/48750]	Loss: 0.3241	LR: 0.020000
Training Epoch: 11 [45056/48750]	Loss: 0.3857	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.3574	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.3639	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.4053	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.2656	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.4278	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.4135	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3680	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3053	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3924	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3862	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.3304	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.4281	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3500	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.3730	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3457	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3607, Train Accuracy: 0.8737
Epoch 11 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8657, Time consumed:0.89s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3573	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3678	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3150	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.4416	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.4096	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3229	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.3273	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.3343	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.3595	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.2867	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3653	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.2987	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.3242	LR: 0.004000
Training Epoch: 12 [3584/48750]	Loss: 0.3705	LR: 0.004000
Training Epoch: 12 [3840/48750]	Loss: 0.3078	LR: 0.004000
Training Epoch: 12 [4096/48750]	Loss: 0.3887	LR: 0.004000
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Training Epoch: 12 [4608/48750]	Loss: 0.2742	LR: 0.004000
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Training Epoch: 12 [6144/48750]	Loss: 0.3087	LR: 0.004000
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Training Epoch: 12 [11008/48750]	Loss: 0.2728	LR: 0.004000
Training Epoch: 12 [11264/48750]	Loss: 0.2562	LR: 0.004000
Training Epoch: 12 [11520/48750]	Loss: 0.3344	LR: 0.004000
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Training Epoch: 12 [15616/48750]	Loss: 0.3302	LR: 0.004000
Training Epoch: 12 [15872/48750]	Loss: 0.3245	LR: 0.004000
Training Epoch: 12 [16128/48750]	Loss: 0.2783	LR: 0.004000
Training Epoch: 12 [16384/48750]	Loss: 0.3243	LR: 0.004000
Training Epoch: 12 [16640/48750]	Loss: 0.2998	LR: 0.004000
Training Epoch: 12 [16896/48750]	Loss: 0.2830	LR: 0.004000
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Training Epoch: 12 [28416/48750]	Loss: 0.3087	LR: 0.004000
Training Epoch: 12 [28672/48750]	Loss: 0.3116	LR: 0.004000
Training Epoch: 12 [28928/48750]	Loss: 0.2824	LR: 0.004000
Training Epoch: 12 [29184/48750]	Loss: 0.3222	LR: 0.004000
Training Epoch: 12 [29440/48750]	Loss: 0.3014	LR: 0.004000
Training Epoch: 12 [29696/48750]	Loss: 0.3754	LR: 0.004000
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Training Epoch: 12 [30720/48750]	Loss: 0.2028	LR: 0.004000
Training Epoch: 12 [30976/48750]	Loss: 0.2541	LR: 0.004000
Training Epoch: 12 [31232/48750]	Loss: 0.3619	LR: 0.004000
Training Epoch: 12 [31488/48750]	Loss: 0.2871	LR: 0.004000
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Training Epoch: 12 [32256/48750]	Loss: 0.2688	LR: 0.004000
Training Epoch: 12 [32512/48750]	Loss: 0.2713	LR: 0.004000
Training Epoch: 12 [32768/48750]	Loss: 0.2930	LR: 0.004000
Training Epoch: 12 [33024/48750]	Loss: 0.2271	LR: 0.004000
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Training Epoch: 12 [35328/48750]	Loss: 0.3150	LR: 0.004000
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Training Epoch: 12 [37120/48750]	Loss: 0.2744	LR: 0.004000
Training Epoch: 12 [37376/48750]	Loss: 0.2730	LR: 0.004000
Training Epoch: 12 [37632/48750]	Loss: 0.3238	LR: 0.004000
Training Epoch: 12 [37888/48750]	Loss: 0.3125	LR: 0.004000
Training Epoch: 12 [38144/48750]	Loss: 0.3262	LR: 0.004000
Training Epoch: 12 [38400/48750]	Loss: 0.3204	LR: 0.004000
Training Epoch: 12 [38656/48750]	Loss: 0.3264	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.2687	LR: 0.004000
Training Epoch: 12 [40448/48750]	Loss: 0.3524	LR: 0.004000
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Training Epoch: 12 [40960/48750]	Loss: 0.3599	LR: 0.004000
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Training Epoch: 12 [44032/48750]	Loss: 0.2574	LR: 0.004000
Training Epoch: 12 [44288/48750]	Loss: 0.3036	LR: 0.004000
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Training Epoch: 12 [44800/48750]	Loss: 0.3711	LR: 0.004000
Training Epoch: 12 [45056/48750]	Loss: 0.3265	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.2817	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.3094	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.2800	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3800	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3281	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3333	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.2829	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.3985	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3943	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.2747	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.3810	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3663	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.3505	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2802	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2368	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3141, Train Accuracy: 0.8896
Epoch 12 training time consumed: 29.26s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8871, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.2175	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.3610	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3403	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.3494	LR: 0.004000
Training Epoch: 13 [1280/48750]	Loss: 0.3553	LR: 0.004000
Training Epoch: 13 [1536/48750]	Loss: 0.3215	LR: 0.004000
Training Epoch: 13 [1792/48750]	Loss: 0.2768	LR: 0.004000
Training Epoch: 13 [2048/48750]	Loss: 0.3702	LR: 0.004000
Training Epoch: 13 [2304/48750]	Loss: 0.2737	LR: 0.004000
Training Epoch: 13 [2560/48750]	Loss: 0.3193	LR: 0.004000
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Training Epoch: 13 [48128/48750]	Loss: 0.2819	LR: 0.004000
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Training Epoch: 13 [48640/48750]	Loss: 0.3274	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.1583	LR: 0.004000
Epoch 13 - Average Train Loss: 0.3012, Train Accuracy: 0.8963
Epoch 13 training time consumed: 29.25s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8891, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.3116	LR: 0.004000
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Training Epoch: 14 [26624/48750]	Loss: 0.2398	LR: 0.004000
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Training Epoch: 14 [27136/48750]	Loss: 0.2252	LR: 0.004000
Training Epoch: 14 [27392/48750]	Loss: 0.2424	LR: 0.004000
Training Epoch: 14 [27648/48750]	Loss: 0.2904	LR: 0.004000
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Training Epoch: 14 [29440/48750]	Loss: 0.3215	LR: 0.004000
Training Epoch: 14 [29696/48750]	Loss: 0.3219	LR: 0.004000
Training Epoch: 14 [29952/48750]	Loss: 0.3268	LR: 0.004000
Training Epoch: 14 [30208/48750]	Loss: 0.3671	LR: 0.004000
Training Epoch: 14 [30464/48750]	Loss: 0.2934	LR: 0.004000
Training Epoch: 14 [30720/48750]	Loss: 0.3643	LR: 0.004000
Training Epoch: 14 [30976/48750]	Loss: 0.3082	LR: 0.004000
Training Epoch: 14 [31232/48750]	Loss: 0.4066	LR: 0.004000
Training Epoch: 14 [31488/48750]	Loss: 0.2300	LR: 0.004000
Training Epoch: 14 [31744/48750]	Loss: 0.1993	LR: 0.004000
Training Epoch: 14 [32000/48750]	Loss: 0.2575	LR: 0.004000
Training Epoch: 14 [32256/48750]	Loss: 0.2975	LR: 0.004000
Training Epoch: 14 [32512/48750]	Loss: 0.2794	LR: 0.004000
Training Epoch: 14 [32768/48750]	Loss: 0.3881	LR: 0.004000
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Training Epoch: 14 [36352/48750]	Loss: 0.2534	LR: 0.004000
Training Epoch: 14 [36608/48750]	Loss: 0.3281	LR: 0.004000
Training Epoch: 14 [36864/48750]	Loss: 0.3546	LR: 0.004000
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Training Epoch: 14 [43520/48750]	Loss: 0.3176	LR: 0.004000
Training Epoch: 14 [43776/48750]	Loss: 0.2431	LR: 0.004000
Training Epoch: 14 [44032/48750]	Loss: 0.2311	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.3584	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.2719	LR: 0.004000
Training Epoch: 14 [44800/48750]	Loss: 0.3084	LR: 0.004000
Training Epoch: 14 [45056/48750]	Loss: 0.3416	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2458	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.3293	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.3758	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.2858	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3627	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.2448	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2850	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.2981	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3301	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.1987	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2851	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.3135	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.3627	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2859	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.2814	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2937, Train Accuracy: 0.8984
Epoch 14 training time consumed: 29.27s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8890, Time consumed:0.90s
Training Epoch: 15 [256/48750]	Loss: 0.3372	LR: 0.004000
Training Epoch: 15 [512/48750]	Loss: 0.3030	LR: 0.004000
Training Epoch: 15 [768/48750]	Loss: 0.1983	LR: 0.004000
Training Epoch: 15 [1024/48750]	Loss: 0.2914	LR: 0.004000
Training Epoch: 15 [1280/48750]	Loss: 0.2482	LR: 0.004000
Training Epoch: 15 [1536/48750]	Loss: 0.2342	LR: 0.004000
Training Epoch: 15 [1792/48750]	Loss: 0.2590	LR: 0.004000
Training Epoch: 15 [2048/48750]	Loss: 0.3067	LR: 0.004000
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Training Epoch: 15 [2560/48750]	Loss: 0.4179	LR: 0.004000
Training Epoch: 15 [2816/48750]	Loss: 0.3206	LR: 0.004000
Training Epoch: 15 [3072/48750]	Loss: 0.2496	LR: 0.004000
Training Epoch: 15 [3328/48750]	Loss: 0.2756	LR: 0.004000
Training Epoch: 15 [3584/48750]	Loss: 0.2818	LR: 0.004000
Training Epoch: 15 [3840/48750]	Loss: 0.2903	LR: 0.004000
Training Epoch: 15 [4096/48750]	Loss: 0.3583	LR: 0.004000
Training Epoch: 15 [4352/48750]	Loss: 0.2673	LR: 0.004000
Training Epoch: 15 [4608/48750]	Loss: 0.2929	LR: 0.004000
Training Epoch: 15 [4864/48750]	Loss: 0.3216	LR: 0.004000
Training Epoch: 15 [5120/48750]	Loss: 0.2841	LR: 0.004000
Training Epoch: 15 [5376/48750]	Loss: 0.3766	LR: 0.004000
Training Epoch: 15 [5632/48750]	Loss: 0.3489	LR: 0.004000
Training Epoch: 15 [5888/48750]	Loss: 0.2351	LR: 0.004000
Training Epoch: 15 [6144/48750]	Loss: 0.2934	LR: 0.004000
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Training Epoch: 15 [8448/48750]	Loss: 0.2694	LR: 0.004000
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Training Epoch: 15 [9216/48750]	Loss: 0.3015	LR: 0.004000
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Training Epoch: 15 [9984/48750]	Loss: 0.2441	LR: 0.004000
Training Epoch: 15 [10240/48750]	Loss: 0.3600	LR: 0.004000
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Training Epoch: 15 [11776/48750]	Loss: 0.3341	LR: 0.004000
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Training Epoch: 15 [12288/48750]	Loss: 0.2785	LR: 0.004000
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Training Epoch: 15 [16128/48750]	Loss: 0.2619	LR: 0.004000
Training Epoch: 15 [16384/48750]	Loss: 0.2549	LR: 0.004000
Training Epoch: 15 [16640/48750]	Loss: 0.3211	LR: 0.004000
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Training Epoch: 15 [19712/48750]	Loss: 0.2702	LR: 0.004000
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Training Epoch: 15 [28672/48750]	Loss: 0.2453	LR: 0.004000
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Training Epoch: 15 [45056/48750]	Loss: 0.3154	LR: 0.004000
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Training Epoch: 15 [46080/48750]	Loss: 0.1853	LR: 0.004000
Training Epoch: 15 [46336/48750]	Loss: 0.2156	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.2518	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.3011	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2885	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2999	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.3573	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3580	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.3306	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2117	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.2230	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.3466	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2863, Train Accuracy: 0.9002
Epoch 15 training time consumed: 29.23s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8901, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2167	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.1832	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.3128	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2251	LR: 0.000800
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Training Epoch: 16 [46336/48750]	Loss: 0.3036	LR: 0.000800
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Training Epoch: 16 [47616/48750]	Loss: 0.2576	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.3081	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.2364	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2088	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.3254	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.2205	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2741, Train Accuracy: 0.9034
Epoch 16 training time consumed: 28.88s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8908, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.1982	LR: 0.000800
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Training Epoch: 17 [1536/48750]	Loss: 0.2919	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.2159	LR: 0.000800
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Training Epoch: 17 [9984/48750]	Loss: 0.2892	LR: 0.000800
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Training Epoch: 17 [25600/48750]	Loss: 0.3217	LR: 0.000800
Training Epoch: 17 [25856/48750]	Loss: 0.2935	LR: 0.000800
Training Epoch: 17 [26112/48750]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [26368/48750]	Loss: 0.3796	LR: 0.000800
Training Epoch: 17 [26624/48750]	Loss: 0.3495	LR: 0.000800
Training Epoch: 17 [26880/48750]	Loss: 0.2737	LR: 0.000800
Training Epoch: 17 [27136/48750]	Loss: 0.2271	LR: 0.000800
Training Epoch: 17 [27392/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 17 [27648/48750]	Loss: 0.2369	LR: 0.000800
Training Epoch: 17 [27904/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 17 [28160/48750]	Loss: 0.1685	LR: 0.000800
Training Epoch: 17 [28416/48750]	Loss: 0.2103	LR: 0.000800
Training Epoch: 17 [28672/48750]	Loss: 0.2386	LR: 0.000800
Training Epoch: 17 [28928/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 17 [29184/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 17 [29440/48750]	Loss: 0.3180	LR: 0.000800
Training Epoch: 17 [29696/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 17 [29952/48750]	Loss: 0.2314	LR: 0.000800
Training Epoch: 17 [30208/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 17 [30464/48750]	Loss: 0.3646	LR: 0.000800
Training Epoch: 17 [30720/48750]	Loss: 0.3324	LR: 0.000800
Training Epoch: 17 [30976/48750]	Loss: 0.2255	LR: 0.000800
Training Epoch: 17 [31232/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 17 [31488/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 17 [31744/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 17 [32000/48750]	Loss: 0.3223	LR: 0.000800
Training Epoch: 17 [32256/48750]	Loss: 0.2486	LR: 0.000800
Training Epoch: 17 [32512/48750]	Loss: 0.2779	LR: 0.000800
Training Epoch: 17 [32768/48750]	Loss: 0.2875	LR: 0.000800
Training Epoch: 17 [33024/48750]	Loss: 0.2896	LR: 0.000800
Training Epoch: 17 [33280/48750]	Loss: 0.2229	LR: 0.000800
Training Epoch: 17 [33536/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 17 [33792/48750]	Loss: 0.2044	LR: 0.000800
Training Epoch: 17 [34048/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 17 [34304/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 17 [34560/48750]	Loss: 0.2308	LR: 0.000800
Training Epoch: 17 [34816/48750]	Loss: 0.3043	LR: 0.000800
Training Epoch: 17 [35072/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 17 [35328/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 17 [35584/48750]	Loss: 0.2005	LR: 0.000800
Training Epoch: 17 [35840/48750]	Loss: 0.2740	LR: 0.000800
Training Epoch: 17 [36096/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 17 [36352/48750]	Loss: 0.2567	LR: 0.000800
Training Epoch: 17 [36608/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 17 [36864/48750]	Loss: 0.2508	LR: 0.000800
Training Epoch: 17 [37120/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 17 [37376/48750]	Loss: 0.2908	LR: 0.000800
Training Epoch: 17 [37632/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 17 [37888/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 17 [38144/48750]	Loss: 0.1632	LR: 0.000800
Training Epoch: 17 [38400/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 17 [38656/48750]	Loss: 0.2837	LR: 0.000800
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Training Epoch: 17 [39168/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 17 [39424/48750]	Loss: 0.2979	LR: 0.000800
Training Epoch: 17 [39680/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 17 [39936/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 17 [40192/48750]	Loss: 0.2990	LR: 0.000800
Training Epoch: 17 [40448/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 17 [40704/48750]	Loss: 0.2423	LR: 0.000800
Training Epoch: 17 [40960/48750]	Loss: 0.2435	LR: 0.000800
Training Epoch: 17 [41216/48750]	Loss: 0.2527	LR: 0.000800
Training Epoch: 17 [41472/48750]	Loss: 0.2321	LR: 0.000800
Training Epoch: 17 [41728/48750]	Loss: 0.2826	LR: 0.000800
Training Epoch: 17 [41984/48750]	Loss: 0.2567	LR: 0.000800
Training Epoch: 17 [42240/48750]	Loss: 0.2042	LR: 0.000800
Training Epoch: 17 [42496/48750]	Loss: 0.2231	LR: 0.000800
Training Epoch: 17 [42752/48750]	Loss: 0.2582	LR: 0.000800
Training Epoch: 17 [43008/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 17 [43264/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 17 [43520/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 17 [43776/48750]	Loss: 0.3486	LR: 0.000800
Training Epoch: 17 [44032/48750]	Loss: 0.3372	LR: 0.000800
Training Epoch: 17 [44288/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 17 [44544/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 17 [44800/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 17 [45056/48750]	Loss: 0.3145	LR: 0.000800
Training Epoch: 17 [45312/48750]	Loss: 0.2488	LR: 0.000800
Training Epoch: 17 [45568/48750]	Loss: 0.3277	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2196	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.3618	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2329	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.3760	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.3532	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.2056	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2491	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.3276	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2680, Train Accuracy: 0.9066
Epoch 17 training time consumed: 28.98s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8907, Time consumed:0.91s
Training Epoch: 18 [256/48750]	Loss: 0.2466	LR: 0.000800
Training Epoch: 18 [512/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 18 [768/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 18 [1024/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 18 [1280/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 18 [1536/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [1792/48750]	Loss: 0.3630	LR: 0.000800
Training Epoch: 18 [2048/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 18 [2304/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 18 [2560/48750]	Loss: 0.2298	LR: 0.000800
Training Epoch: 18 [2816/48750]	Loss: 0.2691	LR: 0.000800
Training Epoch: 18 [3072/48750]	Loss: 0.3034	LR: 0.000800
Training Epoch: 18 [3328/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 18 [3584/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 18 [3840/48750]	Loss: 0.2611	LR: 0.000800
Training Epoch: 18 [4096/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 18 [4352/48750]	Loss: 0.2792	LR: 0.000800
Training Epoch: 18 [4608/48750]	Loss: 0.2259	LR: 0.000800
Training Epoch: 18 [4864/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 18 [5120/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 18 [5376/48750]	Loss: 0.2240	LR: 0.000800
Training Epoch: 18 [5632/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 18 [5888/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 18 [6144/48750]	Loss: 0.2239	LR: 0.000800
Training Epoch: 18 [6400/48750]	Loss: 0.3205	LR: 0.000800
Training Epoch: 18 [6656/48750]	Loss: 0.2191	LR: 0.000800
Training Epoch: 18 [6912/48750]	Loss: 0.2467	LR: 0.000800
Training Epoch: 18 [7168/48750]	Loss: 0.2623	LR: 0.000800
Training Epoch: 18 [7424/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 18 [7680/48750]	Loss: 0.2593	LR: 0.000800
Training Epoch: 18 [7936/48750]	Loss: 0.3045	LR: 0.000800
Training Epoch: 18 [8192/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 18 [8448/48750]	Loss: 0.2668	LR: 0.000800
Training Epoch: 18 [8704/48750]	Loss: 0.3255	LR: 0.000800
Training Epoch: 18 [8960/48750]	Loss: 0.2704	LR: 0.000800
Training Epoch: 18 [9216/48750]	Loss: 0.2863	LR: 0.000800
Training Epoch: 18 [9472/48750]	Loss: 0.2547	LR: 0.000800
Training Epoch: 18 [9728/48750]	Loss: 0.3149	LR: 0.000800
Training Epoch: 18 [9984/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 18 [10240/48750]	Loss: 0.2685	LR: 0.000800
Training Epoch: 18 [10496/48750]	Loss: 0.2681	LR: 0.000800
Training Epoch: 18 [10752/48750]	Loss: 0.3448	LR: 0.000800
Training Epoch: 18 [11008/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 18 [11264/48750]	Loss: 0.2893	LR: 0.000800
Training Epoch: 18 [11520/48750]	Loss: 0.3282	LR: 0.000800
Training Epoch: 18 [11776/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 18 [12032/48750]	Loss: 0.2036	LR: 0.000800
Training Epoch: 18 [12288/48750]	Loss: 0.2926	LR: 0.000800
Training Epoch: 18 [12544/48750]	Loss: 0.2907	LR: 0.000800
Training Epoch: 18 [12800/48750]	Loss: 0.2880	LR: 0.000800
Training Epoch: 18 [13056/48750]	Loss: 0.2864	LR: 0.000800
Training Epoch: 18 [13312/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 18 [13568/48750]	Loss: 0.2295	LR: 0.000800
Training Epoch: 18 [13824/48750]	Loss: 0.1943	LR: 0.000800
Training Epoch: 18 [14080/48750]	Loss: 0.2121	LR: 0.000800
Training Epoch: 18 [14336/48750]	Loss: 0.3240	LR: 0.000800
Training Epoch: 18 [14592/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 18 [14848/48750]	Loss: 0.2499	LR: 0.000800
Training Epoch: 18 [15104/48750]	Loss: 0.1781	LR: 0.000800
Training Epoch: 18 [15360/48750]	Loss: 0.2076	LR: 0.000800
Training Epoch: 18 [15616/48750]	Loss: 0.2929	LR: 0.000800
Training Epoch: 18 [15872/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 18 [16128/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 18 [16384/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 18 [16640/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 18 [16896/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 18 [17152/48750]	Loss: 0.3231	LR: 0.000800
Training Epoch: 18 [17408/48750]	Loss: 0.2030	LR: 0.000800
Training Epoch: 18 [17664/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 18 [17920/48750]	Loss: 0.2882	LR: 0.000800
Training Epoch: 18 [18176/48750]	Loss: 0.3761	LR: 0.000800
Training Epoch: 18 [18432/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 18 [18688/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 18 [18944/48750]	Loss: 0.2583	LR: 0.000800
Training Epoch: 18 [19200/48750]	Loss: 0.2843	LR: 0.000800
Training Epoch: 18 [19456/48750]	Loss: 0.2571	LR: 0.000800
Training Epoch: 18 [19712/48750]	Loss: 0.2294	LR: 0.000800
Training Epoch: 18 [19968/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 18 [20224/48750]	Loss: 0.1820	LR: 0.000800
Training Epoch: 18 [20480/48750]	Loss: 0.2036	LR: 0.000800
Training Epoch: 18 [20736/48750]	Loss: 0.3535	LR: 0.000800
Training Epoch: 18 [20992/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 18 [21248/48750]	Loss: 0.3168	LR: 0.000800
Training Epoch: 18 [21504/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 18 [21760/48750]	Loss: 0.2028	LR: 0.000800
Training Epoch: 18 [22016/48750]	Loss: 0.2775	LR: 0.000800
Training Epoch: 18 [22272/48750]	Loss: 0.2180	LR: 0.000800
Training Epoch: 18 [22528/48750]	Loss: 0.2359	LR: 0.000800
Training Epoch: 18 [22784/48750]	Loss: 0.3183	LR: 0.000800
Training Epoch: 18 [23040/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 18 [23296/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 18 [23552/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 18 [23808/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.2712	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.3195	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.2579	LR: 0.000800
Training Epoch: 18 [25088/48750]	Loss: 0.2039	LR: 0.000800
Training Epoch: 18 [25344/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 18 [25600/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 18 [25856/48750]	Loss: 0.3139	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.2512	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2389	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.3220	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2592	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.3189	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.2862	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2308	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.2040	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2623	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2973	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.2700	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2096	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.3097	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.2780	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.2898	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.3376	LR: 0.000800
Training Epoch: 18 [31232/48750]	Loss: 0.2187	LR: 0.000800
Training Epoch: 18 [31488/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 18 [31744/48750]	Loss: 0.2437	LR: 0.000800
Training Epoch: 18 [32000/48750]	Loss: 0.2471	LR: 0.000800
Training Epoch: 18 [32256/48750]	Loss: 0.3491	LR: 0.000800
Training Epoch: 18 [32512/48750]	Loss: 0.3269	LR: 0.000800
Training Epoch: 18 [32768/48750]	Loss: 0.3373	LR: 0.000800
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Training Epoch: 18 [33536/48750]	Loss: 0.2000	LR: 0.000800
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Training Epoch: 18 [35328/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 18 [35584/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2094	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2418	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.2521	LR: 0.000800
Training Epoch: 18 [36608/48750]	Loss: 0.2607	LR: 0.000800
Training Epoch: 18 [36864/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 18 [37120/48750]	Loss: 0.2187	LR: 0.000800
Training Epoch: 18 [37376/48750]	Loss: 0.2884	LR: 0.000800
Training Epoch: 18 [37632/48750]	Loss: 0.1822	LR: 0.000800
Training Epoch: 18 [37888/48750]	Loss: 0.2221	LR: 0.000800
Training Epoch: 18 [38144/48750]	Loss: 0.3224	LR: 0.000800
Training Epoch: 18 [38400/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.3011	LR: 0.000800
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Training Epoch: 18 [39936/48750]	Loss: 0.2647	LR: 0.000800
Training Epoch: 18 [40192/48750]	Loss: 0.3094	LR: 0.000800
Training Epoch: 18 [40448/48750]	Loss: 0.2992	LR: 0.000800
Training Epoch: 18 [40704/48750]	Loss: 0.2464	LR: 0.000800
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Training Epoch: 18 [41728/48750]	Loss: 0.3044	LR: 0.000800
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Training Epoch: 18 [42240/48750]	Loss: 0.1864	LR: 0.000800
Training Epoch: 18 [42496/48750]	Loss: 0.1912	LR: 0.000800
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Training Epoch: 18 [43008/48750]	Loss: 0.2431	LR: 0.000800
Training Epoch: 18 [43264/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 18 [43520/48750]	Loss: 0.3192	LR: 0.000800
Training Epoch: 18 [43776/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 18 [44032/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 18 [44288/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 18 [44544/48750]	Loss: 0.3011	LR: 0.000800
Training Epoch: 18 [44800/48750]	Loss: 0.2892	LR: 0.000800
Training Epoch: 18 [45056/48750]	Loss: 0.3096	LR: 0.000800
Training Epoch: 18 [45312/48750]	Loss: 0.2990	LR: 0.000800
Training Epoch: 18 [45568/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 18 [45824/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 18 [46080/48750]	Loss: 0.2321	LR: 0.000800
Training Epoch: 18 [46336/48750]	Loss: 0.2141	LR: 0.000800
Training Epoch: 18 [46592/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 18 [46848/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 18 [47104/48750]	Loss: 0.3130	LR: 0.000800
Training Epoch: 18 [47360/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 18 [47616/48750]	Loss: 0.1953	LR: 0.000800
Training Epoch: 18 [47872/48750]	Loss: 0.2773	LR: 0.000800
Training Epoch: 18 [48128/48750]	Loss: 0.2262	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2280	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.3241	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2671, Train Accuracy: 0.9070
Epoch 18 training time consumed: 29.40s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8918, Time consumed:0.88s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_15h_42m_06s/ResNet18-Cifar10-seed4-ret75-18-best.pth
Training Epoch: 19 [256/48750]	Loss: 0.3798	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.2427	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2450	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3046	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2991	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.1967	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2253	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2204	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.1923	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2566	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2594	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.3303	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.3487	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2949	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.3493	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.2280	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.2018	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2759	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2738	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2797	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.3219	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2922	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2262	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.2575	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2131	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.1785	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.3840	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.3056	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2209	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.2709	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.2146	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2461	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.2300	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2966	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2005	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2576	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2619	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2636	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.2197	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.2368	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2984	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2785	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2588	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.3022	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2076	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.2013	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.3786	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2801	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2239	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2950	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2752	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.2161	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2366	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.3111	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.3142	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.3015	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 19 [23552/48750]	Loss: 0.3044	LR: 0.000800
Training Epoch: 19 [23808/48750]	Loss: 0.2422	LR: 0.000800
Training Epoch: 19 [24064/48750]	Loss: 0.2256	LR: 0.000800
Training Epoch: 19 [24320/48750]	Loss: 0.3883	LR: 0.000800
Training Epoch: 19 [24576/48750]	Loss: 0.2739	LR: 0.000800
Training Epoch: 19 [24832/48750]	Loss: 0.2545	LR: 0.000800
Training Epoch: 19 [25088/48750]	Loss: 0.2298	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2103	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.1540	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2470	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.3297	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2167	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2399	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.3641	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3579	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.2253	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.3418	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.2925	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.3366	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [29696/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [29952/48750]	Loss: 0.2494	LR: 0.000800
Training Epoch: 19 [30208/48750]	Loss: 0.3408	LR: 0.000800
Training Epoch: 19 [30464/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 19 [30720/48750]	Loss: 0.2730	LR: 0.000800
Training Epoch: 19 [30976/48750]	Loss: 0.2849	LR: 0.000800
Training Epoch: 19 [31232/48750]	Loss: 0.2764	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.3251	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2576	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.3019	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.2516	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2785	LR: 0.000800
Training Epoch: 19 [33024/48750]	Loss: 0.2610	LR: 0.000800
Training Epoch: 19 [33280/48750]	Loss: 0.2787	LR: 0.000800
Training Epoch: 19 [33536/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 19 [33792/48750]	Loss: 0.1905	LR: 0.000800
Training Epoch: 19 [34048/48750]	Loss: 0.2865	LR: 0.000800
Training Epoch: 19 [34304/48750]	Loss: 0.3096	LR: 0.000800
Training Epoch: 19 [34560/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [34816/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [35072/48750]	Loss: 0.3652	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.2074	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2765	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.1831	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.3132	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2824	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2101	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.3218	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2411	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2477	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.1774	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2623	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.1912	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2127	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.4041	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.3006	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2045	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2622	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.2844	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2835	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2957	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.2540	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2891	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2517	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2895	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2649	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2085	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2058	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.3210	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2173	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2390	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.3815	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2888	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.1764	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.3061	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.3200	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.3722	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.2290	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.3617	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.3466	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2630	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.2300	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.2518	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.3443	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2690, Train Accuracy: 0.9064
Epoch 19 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8909, Time consumed:0.89s
Training Epoch: 20 [256/48750]	Loss: 0.1941	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2342	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2000	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.3003	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3603	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2405	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2888	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.3003	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2352	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2311	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2386	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2690	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.3467	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.3280	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.2194	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.3061	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.1748	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2298	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2060	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.2396	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.2911	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2287	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.2110	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2393	LR: 0.000800
Training Epoch: 20 [7680/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 20 [7936/48750]	Loss: 0.2181	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2166	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.3135	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.3566	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 20 [9216/48750]	Loss: 0.2422	LR: 0.000800
Training Epoch: 20 [9472/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 20 [9728/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 20 [9984/48750]	Loss: 0.3239	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.3636	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2924	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.2602	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2324	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2299	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2480	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2143	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2608	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2142	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.3575	LR: 0.000800
Training Epoch: 20 [13568/48750]	Loss: 0.2784	LR: 0.000800
Training Epoch: 20 [13824/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [14080/48750]	Loss: 0.3298	LR: 0.000800
Training Epoch: 20 [14336/48750]	Loss: 0.2662	LR: 0.000800
Training Epoch: 20 [14592/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 20 [14848/48750]	Loss: 0.2508	LR: 0.000800
Training Epoch: 20 [15104/48750]	Loss: 0.2094	LR: 0.000800
Training Epoch: 20 [15360/48750]	Loss: 0.2458	LR: 0.000800
Training Epoch: 20 [15616/48750]	Loss: 0.2319	LR: 0.000800
Training Epoch: 20 [15872/48750]	Loss: 0.2469	LR: 0.000800
Training Epoch: 20 [16128/48750]	Loss: 0.2346	LR: 0.000800
Training Epoch: 20 [16384/48750]	Loss: 0.2710	LR: 0.000800
Training Epoch: 20 [16640/48750]	Loss: 0.2945	LR: 0.000800
Training Epoch: 20 [16896/48750]	Loss: 0.2633	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2052	LR: 0.000800
Training Epoch: 20 [17408/48750]	Loss: 0.2319	LR: 0.000800
Training Epoch: 20 [17664/48750]	Loss: 0.2889	LR: 0.000800
Training Epoch: 20 [17920/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 20 [18176/48750]	Loss: 0.3065	LR: 0.000800
Training Epoch: 20 [18432/48750]	Loss: 0.3177	LR: 0.000800
Training Epoch: 20 [18688/48750]	Loss: 0.2299	LR: 0.000800
Training Epoch: 20 [18944/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 20 [19200/48750]	Loss: 0.2242	LR: 0.000800
Training Epoch: 20 [19456/48750]	Loss: 0.2839	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2620	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2307	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.3600	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2235	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2388	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 20 [21504/48750]	Loss: 0.2139	LR: 0.000800
Training Epoch: 20 [21760/48750]	Loss: 0.2693	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.2417	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.3227	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2315	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2345	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2490	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.2137	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.2125	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.3199	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2959	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2372	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.3268	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2068	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.2524	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2999	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.3003	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2996	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.3717	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.2626	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.2406	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.2997	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.2937	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.3329	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.3197	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.2901	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2584	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2276	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.3042	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.3117	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.3471	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.2668	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2803	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.3076	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.2669	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.1987	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.2468	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2770	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2291	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.2751	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.2654	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.2823	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2921	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.2663	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2373	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.2325	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.2842	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.3710	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.3516	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2452	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.3322	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2385	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2529	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.2109	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2335	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.2720	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2229	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2276	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3023	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2102	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.2789	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2044	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.2628	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2453	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.3112	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.1974	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.2381	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.3078	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2787	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2379	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2277	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.2887	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.3163	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.2754	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2853	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.3641	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2660, Train Accuracy: 0.9083
Epoch 20 training time consumed: 28.95s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8909, Time consumed:0.89s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 89.345703125
Retain Accuracy: 91.12413024902344
Zero-Retain Forget (ZRF): 0.8292679190635681
Membership Inference Attack (MIA): 0.3928
Forget vs Retain Membership Inference Attack (MIA): 0.524
Forget vs Test Membership Inference Attack (MIA): 0.6
Test vs Retain Membership Inference Attack (MIA): 0.4995
Train vs Test Membership Inference Attack (MIA): 0.511
Forget Set Accuracy (Df): 88.10978698730469
Method Execution Time: 1533.90 seconds
