hello
hello

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

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

📊 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: 2.4164	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4221	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3913	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.4026	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3316	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.3002	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.2433	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 2.2512	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 2.2312	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 2.3009	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 2.3349	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 2.2614	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 2.2169	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 2.1012	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 2.1362	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 2.0379	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 2.0250	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 2.0576	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 2.1608	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 1.9875	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 1.9088	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 1.8699	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 1.9176	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 2.0523	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 1.9309	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 1.9558	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 1.9125	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 1.9540	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 1.8283	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 1.7899	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 1.8592	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 1.7668	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 1.7523	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 1.7809	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 1.7482	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 1.8319	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 1.7595	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 1.8093	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 1.7161	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 1.7992	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 1.7402	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 1.7164	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 1.8923	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 1.7287	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 1.7339	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 1.7531	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 1.8379	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 1.9213	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 1.6903	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 1.7818	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 1.8734	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 1.9909	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 1.6875	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 1.8600	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 1.7528	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 1.8191	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 1.8734	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 1.7181	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 1.9483	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 1.7006	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 1.7049	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 1.8166	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 1.7275	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 1.5607	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 1.7553	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 1.7288	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 1.6569	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 1.8002	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 1.6145	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 1.6436	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 1.7111	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 1.7258	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 1.8017	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 1.7301	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 1.7812	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 1.6700	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 1.7678	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 1.8013	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 1.7757	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 1.7033	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 1.7256	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 1.7208	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 1.6339	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 1.7366	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 1.7194	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 1.7158	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 1.6429	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 1.7454	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 1.5943	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 1.5842	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 1.6598	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 1.8120	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 1.7252	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 1.5796	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 1.5355	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 1.5109	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 1.5475	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 1.4839	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 1.6100	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 1.5808	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 1.6446	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 1.5751	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 1.5913	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 1.6719	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 1.5858	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 1.6851	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 1.4502	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 1.5870	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 1.5696	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 1.6392	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 1.5874	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 1.4421	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 1.5184	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 1.5782	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 1.7195	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 1.5360	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 1.5942	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 1.6034	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 1.5072	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 1.5990	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 1.4835	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 1.5745	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 1.4958	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 1.6331	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 1.6619	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 1.4880	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 1.6376	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 1.5423	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 1.5367	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 1.5361	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 1.5913	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 1.5481	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 1.5683	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 1.3976	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 1.3692	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 1.6858	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 1.4720	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 1.4809	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 1.5143	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 1.5039	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 1.5525	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 1.5533	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 1.5306	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 1.5397	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 1.5589	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 1.4269	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 1.7515	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 1.4757	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 1.6425	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 1.7184	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 1.5419	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 1.6400	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 1.6458	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 1.5989	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 1.4986	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 1.5559	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 1.4978	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 1.6561	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 1.6006	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 1.4701	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 1.5775	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 1.4795	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 1.4465	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 1.4706	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 1.4590	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 1.4540	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 1.5403	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 1.4423	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 1.6101	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 1.4760	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 1.6048	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 1.3358	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 1.4135	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 1.3142	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 1.3328	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 1.6091	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 1.5456	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 1.5943	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 1.5747	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 1.5036	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 1.4388	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 1.6179	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 1.6407	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 1.5701	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 1.5473	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 1.7129	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 1.4352	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 1.6411	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 1.4391	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.5102	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 1.4628	LR: 0.099476
Epoch 1 - Average Train Loss: 1.7053, Train Accuracy: 0.3746
Epoch 1 training time consumed: 29.95s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0070, Accuracy: 0.4282, Time consumed:1.08s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 1.4114	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 1.5070	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 1.5790	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 1.3214	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 1.4932	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 1.8592	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 1.3476	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 1.4315	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.3845	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 1.4384	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 1.3578	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 1.3455	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 1.5452	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 1.4646	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 1.3978	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 1.4388	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 1.5643	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 1.5396	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 1.3398	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 1.4030	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 1.4244	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 1.3461	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 1.2478	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 1.3984	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 1.3598	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 1.2860	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 1.2754	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 1.2411	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 1.2473	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 1.4658	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 1.4289	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 1.4222	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 1.3749	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 1.2838	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 1.2729	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 1.1274	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 1.3372	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 1.2035	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 1.1943	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 1.1389	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 1.3189	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 1.4642	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 1.2859	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 1.1142	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 1.3607	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 1.1381	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 1.1755	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 1.1265	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 1.2833	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 1.3245	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 1.2673	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 1.3427	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 1.2145	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 1.2200	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 1.2442	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 1.3385	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 1.2103	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 1.1461	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 1.2785	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 1.1632	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 1.2415	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 1.3730	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 1.1828	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 1.0779	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 1.1739	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 1.2621	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 1.2533	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 1.2798	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 1.2750	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 1.3085	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 1.0908	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 1.1961	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 1.2990	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 1.2855	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 1.0812	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 1.2110	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 1.2612	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 1.2410	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 1.2030	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 1.3646	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 1.2607	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 1.1667	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 1.1932	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 1.2103	LR: 0.100000
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Training Epoch: 2 [47616/48750]	Loss: 1.1311	LR: 0.100000
Training Epoch: 2 [47872/48750]	Loss: 0.9702	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 1.1524	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 1.2262	LR: 0.100000
Epoch 2 - Average Train Loss: 1.2110, Train Accuracy: 0.5669
Epoch 2 training time consumed: 28.95s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0048, Accuracy: 0.6000, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 1.0886	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.8914	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.8500	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.9394	LR: 0.100000
Epoch 3 - Average Train Loss: 0.9631, Train Accuracy: 0.6614
Epoch 3 training time consumed: 29.10s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0034, Accuracy: 0.7038, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.9075	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.8769	LR: 0.100000
Epoch 4 - Average Train Loss: 0.8101, Train Accuracy: 0.7159
Epoch 4 training time consumed: 29.19s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0034, Accuracy: 0.7102, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-4-best.pth
Training Epoch: 5 [256/48750]	Loss: 0.6916	LR: 0.100000
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Training Epoch: 5 [48750/48750]	Loss: 0.6010	LR: 0.100000
Epoch 5 - Average Train Loss: 0.7152, Train Accuracy: 0.7507
Epoch 5 training time consumed: 28.96s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0032, Accuracy: 0.7347, Time consumed:0.87s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-5-best.pth
Training Epoch: 6 [256/48750]	Loss: 0.6585	LR: 0.100000
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Training Epoch: 6 [48640/48750]	Loss: 0.5741	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.6809	LR: 0.100000
Epoch 6 - Average Train Loss: 0.6437, Train Accuracy: 0.7755
Epoch 6 training time consumed: 28.86s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0026, Accuracy: 0.7776, Time consumed:0.95s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-6-best.pth
Training Epoch: 7 [256/48750]	Loss: 0.5470	LR: 0.100000
Training Epoch: 7 [512/48750]	Loss: 0.6003	LR: 0.100000
Training Epoch: 7 [768/48750]	Loss: 0.6628	LR: 0.100000
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Training Epoch: 7 [2304/48750]	Loss: 0.7120	LR: 0.100000
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Training Epoch: 7 [48750/48750]	Loss: 0.5286	LR: 0.100000
Epoch 7 - Average Train Loss: 0.5910, Train Accuracy: 0.7936
Epoch 7 training time consumed: 28.94s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0025, Accuracy: 0.7873, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.5545	LR: 0.020000
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Training Epoch: 8 [28160/48750]	Loss: 0.4280	LR: 0.020000
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Training Epoch: 8 [44800/48750]	Loss: 0.3803	LR: 0.020000
Training Epoch: 8 [45056/48750]	Loss: 0.3392	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.3637	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.4979	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.4379	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.3471	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.4228	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.3562	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.4079	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.3858	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.3920	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.3316	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.4090	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.4801	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.3390	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.3989	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.4390	LR: 0.020000
Epoch 8 - Average Train Loss: 0.4376, Train Accuracy: 0.8483
Epoch 8 training time consumed: 29.20s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0016, Accuracy: 0.8606, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-8-best.pth
Training Epoch: 9 [256/48750]	Loss: 0.4801	LR: 0.020000
Training Epoch: 9 [512/48750]	Loss: 0.4160	LR: 0.020000
Training Epoch: 9 [768/48750]	Loss: 0.3501	LR: 0.020000
Training Epoch: 9 [1024/48750]	Loss: 0.4360	LR: 0.020000
Training Epoch: 9 [1280/48750]	Loss: 0.4457	LR: 0.020000
Training Epoch: 9 [1536/48750]	Loss: 0.2871	LR: 0.020000
Training Epoch: 9 [1792/48750]	Loss: 0.3914	LR: 0.020000
Training Epoch: 9 [2048/48750]	Loss: 0.3036	LR: 0.020000
Training Epoch: 9 [2304/48750]	Loss: 0.3375	LR: 0.020000
Training Epoch: 9 [2560/48750]	Loss: 0.3144	LR: 0.020000
Training Epoch: 9 [2816/48750]	Loss: 0.4120	LR: 0.020000
Training Epoch: 9 [3072/48750]	Loss: 0.3771	LR: 0.020000
Training Epoch: 9 [3328/48750]	Loss: 0.4188	LR: 0.020000
Training Epoch: 9 [3584/48750]	Loss: 0.3981	LR: 0.020000
Training Epoch: 9 [3840/48750]	Loss: 0.3953	LR: 0.020000
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Training Epoch: 9 [4352/48750]	Loss: 0.3930	LR: 0.020000
Training Epoch: 9 [4608/48750]	Loss: 0.3460	LR: 0.020000
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Training Epoch: 9 [5376/48750]	Loss: 0.3812	LR: 0.020000
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Training Epoch: 9 [32256/48750]	Loss: 0.3762	LR: 0.020000
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Training Epoch: 9 [37888/48750]	Loss: 0.3749	LR: 0.020000
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Training Epoch: 9 [38656/48750]	Loss: 0.3213	LR: 0.020000
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Training Epoch: 9 [40192/48750]	Loss: 0.2843	LR: 0.020000
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Training Epoch: 9 [42496/48750]	Loss: 0.3120	LR: 0.020000
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Training Epoch: 9 [43520/48750]	Loss: 0.3652	LR: 0.020000
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Training Epoch: 9 [45056/48750]	Loss: 0.3406	LR: 0.020000
Training Epoch: 9 [45312/48750]	Loss: 0.3489	LR: 0.020000
Training Epoch: 9 [45568/48750]	Loss: 0.3772	LR: 0.020000
Training Epoch: 9 [45824/48750]	Loss: 0.4819	LR: 0.020000
Training Epoch: 9 [46080/48750]	Loss: 0.3463	LR: 0.020000
Training Epoch: 9 [46336/48750]	Loss: 0.4595	LR: 0.020000
Training Epoch: 9 [46592/48750]	Loss: 0.3443	LR: 0.020000
Training Epoch: 9 [46848/48750]	Loss: 0.5062	LR: 0.020000
Training Epoch: 9 [47104/48750]	Loss: 0.3901	LR: 0.020000
Training Epoch: 9 [47360/48750]	Loss: 0.4246	LR: 0.020000
Training Epoch: 9 [47616/48750]	Loss: 0.4632	LR: 0.020000
Training Epoch: 9 [47872/48750]	Loss: 0.3131	LR: 0.020000
Training Epoch: 9 [48128/48750]	Loss: 0.3114	LR: 0.020000
Training Epoch: 9 [48384/48750]	Loss: 0.4859	LR: 0.020000
Training Epoch: 9 [48640/48750]	Loss: 0.3767	LR: 0.020000
Training Epoch: 9 [48750/48750]	Loss: 0.3148	LR: 0.020000
Epoch 9 - Average Train Loss: 0.3921, Train Accuracy: 0.8637
Epoch 9 training time consumed: 28.89s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0016, Accuracy: 0.8657, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-9-best.pth
Training Epoch: 10 [256/48750]	Loss: 0.4237	LR: 0.020000
Training Epoch: 10 [512/48750]	Loss: 0.3677	LR: 0.020000
Training Epoch: 10 [768/48750]	Loss: 0.3430	LR: 0.020000
Training Epoch: 10 [1024/48750]	Loss: 0.3165	LR: 0.020000
Training Epoch: 10 [1280/48750]	Loss: 0.3428	LR: 0.020000
Training Epoch: 10 [1536/48750]	Loss: 0.3523	LR: 0.020000
Training Epoch: 10 [1792/48750]	Loss: 0.3463	LR: 0.020000
Training Epoch: 10 [2048/48750]	Loss: 0.3461	LR: 0.020000
Training Epoch: 10 [2304/48750]	Loss: 0.3875	LR: 0.020000
Training Epoch: 10 [2560/48750]	Loss: 0.3735	LR: 0.020000
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Training Epoch: 10 [48128/48750]	Loss: 0.3156	LR: 0.020000
Training Epoch: 10 [48384/48750]	Loss: 0.4474	LR: 0.020000
Training Epoch: 10 [48640/48750]	Loss: 0.3693	LR: 0.020000
Training Epoch: 10 [48750/48750]	Loss: 0.4498	LR: 0.020000
Epoch 10 - Average Train Loss: 0.3761, Train Accuracy: 0.8679
Epoch 10 training time consumed: 28.94s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0015, Accuracy: 0.8723, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-10-best.pth
Training Epoch: 11 [256/48750]	Loss: 0.3917	LR: 0.020000
Training Epoch: 11 [512/48750]	Loss: 0.3162	LR: 0.020000
Training Epoch: 11 [768/48750]	Loss: 0.2703	LR: 0.020000
Training Epoch: 11 [1024/48750]	Loss: 0.3216	LR: 0.020000
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Training Epoch: 11 [1536/48750]	Loss: 0.3953	LR: 0.020000
Training Epoch: 11 [1792/48750]	Loss: 0.3402	LR: 0.020000
Training Epoch: 11 [2048/48750]	Loss: 0.3246	LR: 0.020000
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Training Epoch: 11 [2560/48750]	Loss: 0.4146	LR: 0.020000
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Training Epoch: 11 [3840/48750]	Loss: 0.3993	LR: 0.020000
Training Epoch: 11 [4096/48750]	Loss: 0.3332	LR: 0.020000
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Training Epoch: 11 [4608/48750]	Loss: 0.4308	LR: 0.020000
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Training Epoch: 11 [10496/48750]	Loss: 0.3462	LR: 0.020000
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Training Epoch: 11 [24576/48750]	Loss: 0.3382	LR: 0.020000
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Training Epoch: 11 [26368/48750]	Loss: 0.4154	LR: 0.020000
Training Epoch: 11 [26624/48750]	Loss: 0.3716	LR: 0.020000
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Training Epoch: 11 [32000/48750]	Loss: 0.2815	LR: 0.020000
Training Epoch: 11 [32256/48750]	Loss: 0.3496	LR: 0.020000
Training Epoch: 11 [32512/48750]	Loss: 0.3900	LR: 0.020000
Training Epoch: 11 [32768/48750]	Loss: 0.3550	LR: 0.020000
Training Epoch: 11 [33024/48750]	Loss: 0.2899	LR: 0.020000
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Training Epoch: 11 [43776/48750]	Loss: 0.3682	LR: 0.020000
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Training Epoch: 11 [44288/48750]	Loss: 0.3574	LR: 0.020000
Training Epoch: 11 [44544/48750]	Loss: 0.3416	LR: 0.020000
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Training Epoch: 11 [45056/48750]	Loss: 0.4036	LR: 0.020000
Training Epoch: 11 [45312/48750]	Loss: 0.4130	LR: 0.020000
Training Epoch: 11 [45568/48750]	Loss: 0.4391	LR: 0.020000
Training Epoch: 11 [45824/48750]	Loss: 0.2886	LR: 0.020000
Training Epoch: 11 [46080/48750]	Loss: 0.2706	LR: 0.020000
Training Epoch: 11 [46336/48750]	Loss: 0.3712	LR: 0.020000
Training Epoch: 11 [46592/48750]	Loss: 0.2684	LR: 0.020000
Training Epoch: 11 [46848/48750]	Loss: 0.3326	LR: 0.020000
Training Epoch: 11 [47104/48750]	Loss: 0.3411	LR: 0.020000
Training Epoch: 11 [47360/48750]	Loss: 0.3682	LR: 0.020000
Training Epoch: 11 [47616/48750]	Loss: 0.3587	LR: 0.020000
Training Epoch: 11 [47872/48750]	Loss: 0.4401	LR: 0.020000
Training Epoch: 11 [48128/48750]	Loss: 0.3731	LR: 0.020000
Training Epoch: 11 [48384/48750]	Loss: 0.3311	LR: 0.020000
Training Epoch: 11 [48640/48750]	Loss: 0.4719	LR: 0.020000
Training Epoch: 11 [48750/48750]	Loss: 0.3347	LR: 0.020000
Epoch 11 - Average Train Loss: 0.3569, Train Accuracy: 0.8753
Epoch 11 training time consumed: 29.13s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0015, Accuracy: 0.8728, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-11-best.pth
Training Epoch: 12 [256/48750]	Loss: 0.3045	LR: 0.004000
Training Epoch: 12 [512/48750]	Loss: 0.3222	LR: 0.004000
Training Epoch: 12 [768/48750]	Loss: 0.3507	LR: 0.004000
Training Epoch: 12 [1024/48750]	Loss: 0.2771	LR: 0.004000
Training Epoch: 12 [1280/48750]	Loss: 0.3591	LR: 0.004000
Training Epoch: 12 [1536/48750]	Loss: 0.3440	LR: 0.004000
Training Epoch: 12 [1792/48750]	Loss: 0.2956	LR: 0.004000
Training Epoch: 12 [2048/48750]	Loss: 0.4178	LR: 0.004000
Training Epoch: 12 [2304/48750]	Loss: 0.2680	LR: 0.004000
Training Epoch: 12 [2560/48750]	Loss: 0.2997	LR: 0.004000
Training Epoch: 12 [2816/48750]	Loss: 0.3499	LR: 0.004000
Training Epoch: 12 [3072/48750]	Loss: 0.3093	LR: 0.004000
Training Epoch: 12 [3328/48750]	Loss: 0.4005	LR: 0.004000
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Training Epoch: 12 [3840/48750]	Loss: 0.2603	LR: 0.004000
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Training Epoch: 12 [4352/48750]	Loss: 0.3461	LR: 0.004000
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Training Epoch: 12 [28160/48750]	Loss: 0.2264	LR: 0.004000
Training Epoch: 12 [28416/48750]	Loss: 0.3017	LR: 0.004000
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Training Epoch: 12 [28928/48750]	Loss: 0.2911	LR: 0.004000
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Training Epoch: 12 [29440/48750]	Loss: 0.3276	LR: 0.004000
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Training Epoch: 12 [30464/48750]	Loss: 0.3392	LR: 0.004000
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Training Epoch: 12 [35840/48750]	Loss: 0.2744	LR: 0.004000
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Training Epoch: 12 [37888/48750]	Loss: 0.3101	LR: 0.004000
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Training Epoch: 12 [38400/48750]	Loss: 0.2974	LR: 0.004000
Training Epoch: 12 [38656/48750]	Loss: 0.2571	LR: 0.004000
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Training Epoch: 12 [40192/48750]	Loss: 0.3100	LR: 0.004000
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Training Epoch: 12 [44032/48750]	Loss: 0.3593	LR: 0.004000
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Training Epoch: 12 [45056/48750]	Loss: 0.3101	LR: 0.004000
Training Epoch: 12 [45312/48750]	Loss: 0.2505	LR: 0.004000
Training Epoch: 12 [45568/48750]	Loss: 0.2731	LR: 0.004000
Training Epoch: 12 [45824/48750]	Loss: 0.3555	LR: 0.004000
Training Epoch: 12 [46080/48750]	Loss: 0.3221	LR: 0.004000
Training Epoch: 12 [46336/48750]	Loss: 0.3220	LR: 0.004000
Training Epoch: 12 [46592/48750]	Loss: 0.3290	LR: 0.004000
Training Epoch: 12 [46848/48750]	Loss: 0.2582	LR: 0.004000
Training Epoch: 12 [47104/48750]	Loss: 0.2795	LR: 0.004000
Training Epoch: 12 [47360/48750]	Loss: 0.3457	LR: 0.004000
Training Epoch: 12 [47616/48750]	Loss: 0.2939	LR: 0.004000
Training Epoch: 12 [47872/48750]	Loss: 0.2760	LR: 0.004000
Training Epoch: 12 [48128/48750]	Loss: 0.3231	LR: 0.004000
Training Epoch: 12 [48384/48750]	Loss: 0.2969	LR: 0.004000
Training Epoch: 12 [48640/48750]	Loss: 0.2646	LR: 0.004000
Training Epoch: 12 [48750/48750]	Loss: 0.2050	LR: 0.004000
Epoch 12 - Average Train Loss: 0.3124, Train Accuracy: 0.8916
Epoch 12 training time consumed: 29.06s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0013, Accuracy: 0.8864, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-12-best.pth
Training Epoch: 13 [256/48750]	Loss: 0.2470	LR: 0.004000
Training Epoch: 13 [512/48750]	Loss: 0.2410	LR: 0.004000
Training Epoch: 13 [768/48750]	Loss: 0.3154	LR: 0.004000
Training Epoch: 13 [1024/48750]	Loss: 0.2918	LR: 0.004000
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Training Epoch: 13 [47872/48750]	Loss: 0.3519	LR: 0.004000
Training Epoch: 13 [48128/48750]	Loss: 0.2715	LR: 0.004000
Training Epoch: 13 [48384/48750]	Loss: 0.2345	LR: 0.004000
Training Epoch: 13 [48640/48750]	Loss: 0.3415	LR: 0.004000
Training Epoch: 13 [48750/48750]	Loss: 0.2673	LR: 0.004000
Epoch 13 - Average Train Loss: 0.2959, Train Accuracy: 0.8971
Epoch 13 training time consumed: 29.05s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0013, Accuracy: 0.8873, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-13-best.pth
Training Epoch: 14 [256/48750]	Loss: 0.2545	LR: 0.004000
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Training Epoch: 14 [768/48750]	Loss: 0.2842	LR: 0.004000
Training Epoch: 14 [1024/48750]	Loss: 0.2058	LR: 0.004000
Training Epoch: 14 [1280/48750]	Loss: 0.2342	LR: 0.004000
Training Epoch: 14 [1536/48750]	Loss: 0.3359	LR: 0.004000
Training Epoch: 14 [1792/48750]	Loss: 0.3173	LR: 0.004000
Training Epoch: 14 [2048/48750]	Loss: 0.3254	LR: 0.004000
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Training Epoch: 14 [2816/48750]	Loss: 0.3472	LR: 0.004000
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Training Epoch: 14 [25088/48750]	Loss: 0.2369	LR: 0.004000
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Training Epoch: 14 [43776/48750]	Loss: 0.2931	LR: 0.004000
Training Epoch: 14 [44032/48750]	Loss: 0.3005	LR: 0.004000
Training Epoch: 14 [44288/48750]	Loss: 0.3539	LR: 0.004000
Training Epoch: 14 [44544/48750]	Loss: 0.1992	LR: 0.004000
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Training Epoch: 14 [45056/48750]	Loss: 0.2105	LR: 0.004000
Training Epoch: 14 [45312/48750]	Loss: 0.2779	LR: 0.004000
Training Epoch: 14 [45568/48750]	Loss: 0.2833	LR: 0.004000
Training Epoch: 14 [45824/48750]	Loss: 0.3362	LR: 0.004000
Training Epoch: 14 [46080/48750]	Loss: 0.3075	LR: 0.004000
Training Epoch: 14 [46336/48750]	Loss: 0.3624	LR: 0.004000
Training Epoch: 14 [46592/48750]	Loss: 0.3251	LR: 0.004000
Training Epoch: 14 [46848/48750]	Loss: 0.2430	LR: 0.004000
Training Epoch: 14 [47104/48750]	Loss: 0.3098	LR: 0.004000
Training Epoch: 14 [47360/48750]	Loss: 0.3113	LR: 0.004000
Training Epoch: 14 [47616/48750]	Loss: 0.3001	LR: 0.004000
Training Epoch: 14 [47872/48750]	Loss: 0.2835	LR: 0.004000
Training Epoch: 14 [48128/48750]	Loss: 0.2727	LR: 0.004000
Training Epoch: 14 [48384/48750]	Loss: 0.2056	LR: 0.004000
Training Epoch: 14 [48640/48750]	Loss: 0.2817	LR: 0.004000
Training Epoch: 14 [48750/48750]	Loss: 0.3161	LR: 0.004000
Epoch 14 - Average Train Loss: 0.2878, Train Accuracy: 0.9003
Epoch 14 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0013, Accuracy: 0.8901, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-14-best.pth
Training Epoch: 15 [256/48750]	Loss: 0.2613	LR: 0.004000
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Training Epoch: 15 [12288/48750]	Loss: 0.3314	LR: 0.004000
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Training Epoch: 15 [45056/48750]	Loss: 0.2797	LR: 0.004000
Training Epoch: 15 [45312/48750]	Loss: 0.2677	LR: 0.004000
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Training Epoch: 15 [45824/48750]	Loss: 0.2215	LR: 0.004000
Training Epoch: 15 [46080/48750]	Loss: 0.3275	LR: 0.004000
Training Epoch: 15 [46336/48750]	Loss: 0.3020	LR: 0.004000
Training Epoch: 15 [46592/48750]	Loss: 0.3437	LR: 0.004000
Training Epoch: 15 [46848/48750]	Loss: 0.2432	LR: 0.004000
Training Epoch: 15 [47104/48750]	Loss: 0.2406	LR: 0.004000
Training Epoch: 15 [47360/48750]	Loss: 0.2814	LR: 0.004000
Training Epoch: 15 [47616/48750]	Loss: 0.2927	LR: 0.004000
Training Epoch: 15 [47872/48750]	Loss: 0.3226	LR: 0.004000
Training Epoch: 15 [48128/48750]	Loss: 0.2484	LR: 0.004000
Training Epoch: 15 [48384/48750]	Loss: 0.2887	LR: 0.004000
Training Epoch: 15 [48640/48750]	Loss: 0.3680	LR: 0.004000
Training Epoch: 15 [48750/48750]	Loss: 0.2323	LR: 0.004000
Epoch 15 - Average Train Loss: 0.2817, Train Accuracy: 0.9020
Epoch 15 training time consumed: 29.01s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0013, Accuracy: 0.8906, Time consumed:0.84s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-15-best.pth
Training Epoch: 16 [256/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 16 [512/48750]	Loss: 0.2775	LR: 0.000800
Training Epoch: 16 [768/48750]	Loss: 0.2946	LR: 0.000800
Training Epoch: 16 [1024/48750]	Loss: 0.2400	LR: 0.000800
Training Epoch: 16 [1280/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 16 [1536/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 16 [1792/48750]	Loss: 0.1809	LR: 0.000800
Training Epoch: 16 [2048/48750]	Loss: 0.3036	LR: 0.000800
Training Epoch: 16 [2304/48750]	Loss: 0.2272	LR: 0.000800
Training Epoch: 16 [2560/48750]	Loss: 0.3108	LR: 0.000800
Training Epoch: 16 [2816/48750]	Loss: 0.2874	LR: 0.000800
Training Epoch: 16 [3072/48750]	Loss: 0.2497	LR: 0.000800
Training Epoch: 16 [3328/48750]	Loss: 0.2269	LR: 0.000800
Training Epoch: 16 [3584/48750]	Loss: 0.2954	LR: 0.000800
Training Epoch: 16 [3840/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 16 [4096/48750]	Loss: 0.2185	LR: 0.000800
Training Epoch: 16 [4352/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 16 [4608/48750]	Loss: 0.1927	LR: 0.000800
Training Epoch: 16 [4864/48750]	Loss: 0.3116	LR: 0.000800
Training Epoch: 16 [5120/48750]	Loss: 0.2241	LR: 0.000800
Training Epoch: 16 [5376/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 16 [5632/48750]	Loss: 0.2847	LR: 0.000800
Training Epoch: 16 [5888/48750]	Loss: 0.2948	LR: 0.000800
Training Epoch: 16 [6144/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 16 [6400/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 16 [6656/48750]	Loss: 0.3589	LR: 0.000800
Training Epoch: 16 [6912/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 16 [7168/48750]	Loss: 0.2960	LR: 0.000800
Training Epoch: 16 [7424/48750]	Loss: 0.3270	LR: 0.000800
Training Epoch: 16 [7680/48750]	Loss: 0.3281	LR: 0.000800
Training Epoch: 16 [7936/48750]	Loss: 0.2106	LR: 0.000800
Training Epoch: 16 [8192/48750]	Loss: 0.3385	LR: 0.000800
Training Epoch: 16 [8448/48750]	Loss: 0.1914	LR: 0.000800
Training Epoch: 16 [8704/48750]	Loss: 0.1693	LR: 0.000800
Training Epoch: 16 [8960/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 16 [9216/48750]	Loss: 0.2903	LR: 0.000800
Training Epoch: 16 [9472/48750]	Loss: 0.2268	LR: 0.000800
Training Epoch: 16 [9728/48750]	Loss: 0.2551	LR: 0.000800
Training Epoch: 16 [9984/48750]	Loss: 0.3244	LR: 0.000800
Training Epoch: 16 [10240/48750]	Loss: 0.3156	LR: 0.000800
Training Epoch: 16 [10496/48750]	Loss: 0.2198	LR: 0.000800
Training Epoch: 16 [10752/48750]	Loss: 0.2095	LR: 0.000800
Training Epoch: 16 [11008/48750]	Loss: 0.2650	LR: 0.000800
Training Epoch: 16 [11264/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 16 [11520/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 16 [11776/48750]	Loss: 0.2748	LR: 0.000800
Training Epoch: 16 [12032/48750]	Loss: 0.2279	LR: 0.000800
Training Epoch: 16 [12288/48750]	Loss: 0.2680	LR: 0.000800
Training Epoch: 16 [12544/48750]	Loss: 0.2322	LR: 0.000800
Training Epoch: 16 [12800/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 16 [13056/48750]	Loss: 0.2202	LR: 0.000800
Training Epoch: 16 [13312/48750]	Loss: 0.2613	LR: 0.000800
Training Epoch: 16 [13568/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 16 [13824/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 16 [14080/48750]	Loss: 0.3129	LR: 0.000800
Training Epoch: 16 [14336/48750]	Loss: 0.2683	LR: 0.000800
Training Epoch: 16 [14592/48750]	Loss: 0.2918	LR: 0.000800
Training Epoch: 16 [14848/48750]	Loss: 0.2866	LR: 0.000800
Training Epoch: 16 [15104/48750]	Loss: 0.2182	LR: 0.000800
Training Epoch: 16 [15360/48750]	Loss: 0.2511	LR: 0.000800
Training Epoch: 16 [15616/48750]	Loss: 0.1855	LR: 0.000800
Training Epoch: 16 [15872/48750]	Loss: 0.2542	LR: 0.000800
Training Epoch: 16 [16128/48750]	Loss: 0.2986	LR: 0.000800
Training Epoch: 16 [16384/48750]	Loss: 0.2047	LR: 0.000800
Training Epoch: 16 [16640/48750]	Loss: 0.2699	LR: 0.000800
Training Epoch: 16 [16896/48750]	Loss: 0.1989	LR: 0.000800
Training Epoch: 16 [17152/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 16 [17408/48750]	Loss: 0.3147	LR: 0.000800
Training Epoch: 16 [17664/48750]	Loss: 0.2500	LR: 0.000800
Training Epoch: 16 [17920/48750]	Loss: 0.3290	LR: 0.000800
Training Epoch: 16 [18176/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 16 [18432/48750]	Loss: 0.1650	LR: 0.000800
Training Epoch: 16 [18688/48750]	Loss: 0.2825	LR: 0.000800
Training Epoch: 16 [18944/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 16 [19200/48750]	Loss: 0.2256	LR: 0.000800
Training Epoch: 16 [19456/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 16 [19712/48750]	Loss: 0.2769	LR: 0.000800
Training Epoch: 16 [19968/48750]	Loss: 0.3721	LR: 0.000800
Training Epoch: 16 [20224/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 16 [20480/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 16 [20736/48750]	Loss: 0.2728	LR: 0.000800
Training Epoch: 16 [20992/48750]	Loss: 0.2330	LR: 0.000800
Training Epoch: 16 [21248/48750]	Loss: 0.2495	LR: 0.000800
Training Epoch: 16 [21504/48750]	Loss: 0.2556	LR: 0.000800
Training Epoch: 16 [21760/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 16 [22016/48750]	Loss: 0.3659	LR: 0.000800
Training Epoch: 16 [22272/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 16 [22528/48750]	Loss: 0.2657	LR: 0.000800
Training Epoch: 16 [22784/48750]	Loss: 0.2815	LR: 0.000800
Training Epoch: 16 [23040/48750]	Loss: 0.3239	LR: 0.000800
Training Epoch: 16 [23296/48750]	Loss: 0.3000	LR: 0.000800
Training Epoch: 16 [23552/48750]	Loss: 0.2622	LR: 0.000800
Training Epoch: 16 [23808/48750]	Loss: 0.3136	LR: 0.000800
Training Epoch: 16 [24064/48750]	Loss: 0.2321	LR: 0.000800
Training Epoch: 16 [24320/48750]	Loss: 0.2274	LR: 0.000800
Training Epoch: 16 [24576/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 16 [24832/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 16 [25088/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 16 [25344/48750]	Loss: 0.3243	LR: 0.000800
Training Epoch: 16 [25600/48750]	Loss: 0.1985	LR: 0.000800
Training Epoch: 16 [25856/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 16 [26112/48750]	Loss: 0.2337	LR: 0.000800
Training Epoch: 16 [26368/48750]	Loss: 0.1995	LR: 0.000800
Training Epoch: 16 [26624/48750]	Loss: 0.2846	LR: 0.000800
Training Epoch: 16 [26880/48750]	Loss: 0.2993	LR: 0.000800
Training Epoch: 16 [27136/48750]	Loss: 0.2741	LR: 0.000800
Training Epoch: 16 [27392/48750]	Loss: 0.2198	LR: 0.000800
Training Epoch: 16 [27648/48750]	Loss: 0.2667	LR: 0.000800
Training Epoch: 16 [27904/48750]	Loss: 0.2754	LR: 0.000800
Training Epoch: 16 [28160/48750]	Loss: 0.3968	LR: 0.000800
Training Epoch: 16 [28416/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 16 [28672/48750]	Loss: 0.2783	LR: 0.000800
Training Epoch: 16 [28928/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 16 [29184/48750]	Loss: 0.2843	LR: 0.000800
Training Epoch: 16 [29440/48750]	Loss: 0.2640	LR: 0.000800
Training Epoch: 16 [29696/48750]	Loss: 0.2870	LR: 0.000800
Training Epoch: 16 [29952/48750]	Loss: 0.2091	LR: 0.000800
Training Epoch: 16 [30208/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 16 [30464/48750]	Loss: 0.2359	LR: 0.000800
Training Epoch: 16 [30720/48750]	Loss: 0.3538	LR: 0.000800
Training Epoch: 16 [30976/48750]	Loss: 0.2813	LR: 0.000800
Training Epoch: 16 [31232/48750]	Loss: 0.2799	LR: 0.000800
Training Epoch: 16 [31488/48750]	Loss: 0.3002	LR: 0.000800
Training Epoch: 16 [31744/48750]	Loss: 0.2530	LR: 0.000800
Training Epoch: 16 [32000/48750]	Loss: 0.3348	LR: 0.000800
Training Epoch: 16 [32256/48750]	Loss: 0.2402	LR: 0.000800
Training Epoch: 16 [32512/48750]	Loss: 0.3658	LR: 0.000800
Training Epoch: 16 [32768/48750]	Loss: 0.3104	LR: 0.000800
Training Epoch: 16 [33024/48750]	Loss: 0.2138	LR: 0.000800
Training Epoch: 16 [33280/48750]	Loss: 0.3204	LR: 0.000800
Training Epoch: 16 [33536/48750]	Loss: 0.3057	LR: 0.000800
Training Epoch: 16 [33792/48750]	Loss: 0.2735	LR: 0.000800
Training Epoch: 16 [34048/48750]	Loss: 0.3345	LR: 0.000800
Training Epoch: 16 [34304/48750]	Loss: 0.2567	LR: 0.000800
Training Epoch: 16 [34560/48750]	Loss: 0.3055	LR: 0.000800
Training Epoch: 16 [34816/48750]	Loss: 0.2348	LR: 0.000800
Training Epoch: 16 [35072/48750]	Loss: 0.2534	LR: 0.000800
Training Epoch: 16 [35328/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 16 [35584/48750]	Loss: 0.2319	LR: 0.000800
Training Epoch: 16 [35840/48750]	Loss: 0.2151	LR: 0.000800
Training Epoch: 16 [36096/48750]	Loss: 0.2982	LR: 0.000800
Training Epoch: 16 [36352/48750]	Loss: 0.3409	LR: 0.000800
Training Epoch: 16 [36608/48750]	Loss: 0.2537	LR: 0.000800
Training Epoch: 16 [36864/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 16 [37120/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 16 [37376/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 16 [37632/48750]	Loss: 0.2520	LR: 0.000800
Training Epoch: 16 [37888/48750]	Loss: 0.2260	LR: 0.000800
Training Epoch: 16 [38144/48750]	Loss: 0.2862	LR: 0.000800
Training Epoch: 16 [38400/48750]	Loss: 0.2250	LR: 0.000800
Training Epoch: 16 [38656/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 16 [38912/48750]	Loss: 0.3113	LR: 0.000800
Training Epoch: 16 [39168/48750]	Loss: 0.2788	LR: 0.000800
Training Epoch: 16 [39424/48750]	Loss: 0.2336	LR: 0.000800
Training Epoch: 16 [39680/48750]	Loss: 0.2127	LR: 0.000800
Training Epoch: 16 [39936/48750]	Loss: 0.3146	LR: 0.000800
Training Epoch: 16 [40192/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 16 [40448/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 16 [40704/48750]	Loss: 0.2673	LR: 0.000800
Training Epoch: 16 [40960/48750]	Loss: 0.3155	LR: 0.000800
Training Epoch: 16 [41216/48750]	Loss: 0.2116	LR: 0.000800
Training Epoch: 16 [41472/48750]	Loss: 0.3087	LR: 0.000800
Training Epoch: 16 [41728/48750]	Loss: 0.2795	LR: 0.000800
Training Epoch: 16 [41984/48750]	Loss: 0.2526	LR: 0.000800
Training Epoch: 16 [42240/48750]	Loss: 0.2146	LR: 0.000800
Training Epoch: 16 [42496/48750]	Loss: 0.2713	LR: 0.000800
Training Epoch: 16 [42752/48750]	Loss: 0.3509	LR: 0.000800
Training Epoch: 16 [43008/48750]	Loss: 0.3048	LR: 0.000800
Training Epoch: 16 [43264/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 16 [43520/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 16 [43776/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 16 [44032/48750]	Loss: 0.2682	LR: 0.000800
Training Epoch: 16 [44288/48750]	Loss: 0.2541	LR: 0.000800
Training Epoch: 16 [44544/48750]	Loss: 0.3114	LR: 0.000800
Training Epoch: 16 [44800/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 16 [45056/48750]	Loss: 0.2213	LR: 0.000800
Training Epoch: 16 [45312/48750]	Loss: 0.2065	LR: 0.000800
Training Epoch: 16 [45568/48750]	Loss: 0.2726	LR: 0.000800
Training Epoch: 16 [45824/48750]	Loss: 0.2377	LR: 0.000800
Training Epoch: 16 [46080/48750]	Loss: 0.2876	LR: 0.000800
Training Epoch: 16 [46336/48750]	Loss: 0.3445	LR: 0.000800
Training Epoch: 16 [46592/48750]	Loss: 0.2112	LR: 0.000800
Training Epoch: 16 [46848/48750]	Loss: 0.2580	LR: 0.000800
Training Epoch: 16 [47104/48750]	Loss: 0.2513	LR: 0.000800
Training Epoch: 16 [47360/48750]	Loss: 0.3317	LR: 0.000800
Training Epoch: 16 [47616/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 16 [47872/48750]	Loss: 0.2562	LR: 0.000800
Training Epoch: 16 [48128/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 16 [48384/48750]	Loss: 0.2677	LR: 0.000800
Training Epoch: 16 [48640/48750]	Loss: 0.2327	LR: 0.000800
Training Epoch: 16 [48750/48750]	Loss: 0.3557	LR: 0.000800
Epoch 16 - Average Train Loss: 0.2689, Train Accuracy: 0.9066
Epoch 16 training time consumed: 29.07s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0013, Accuracy: 0.8941, Time consumed:0.85s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-16-best.pth
Training Epoch: 17 [256/48750]	Loss: 0.2519	LR: 0.000800
Training Epoch: 17 [512/48750]	Loss: 0.2461	LR: 0.000800
Training Epoch: 17 [768/48750]	Loss: 0.2894	LR: 0.000800
Training Epoch: 17 [1024/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 17 [1280/48750]	Loss: 0.3318	LR: 0.000800
Training Epoch: 17 [1536/48750]	Loss: 0.2706	LR: 0.000800
Training Epoch: 17 [1792/48750]	Loss: 0.2111	LR: 0.000800
Training Epoch: 17 [2048/48750]	Loss: 0.3206	LR: 0.000800
Training Epoch: 17 [2304/48750]	Loss: 0.3096	LR: 0.000800
Training Epoch: 17 [2560/48750]	Loss: 0.2532	LR: 0.000800
Training Epoch: 17 [2816/48750]	Loss: 0.2198	LR: 0.000800
Training Epoch: 17 [3072/48750]	Loss: 0.2923	LR: 0.000800
Training Epoch: 17 [3328/48750]	Loss: 0.3162	LR: 0.000800
Training Epoch: 17 [3584/48750]	Loss: 0.3336	LR: 0.000800
Training Epoch: 17 [3840/48750]	Loss: 0.2762	LR: 0.000800
Training Epoch: 17 [4096/48750]	Loss: 0.3245	LR: 0.000800
Training Epoch: 17 [4352/48750]	Loss: 0.2566	LR: 0.000800
Training Epoch: 17 [4608/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 17 [4864/48750]	Loss: 0.2651	LR: 0.000800
Training Epoch: 17 [5120/48750]	Loss: 0.3038	LR: 0.000800
Training Epoch: 17 [5376/48750]	Loss: 0.2756	LR: 0.000800
Training Epoch: 17 [5632/48750]	Loss: 0.2413	LR: 0.000800
Training Epoch: 17 [5888/48750]	Loss: 0.1683	LR: 0.000800
Training Epoch: 17 [6144/48750]	Loss: 0.2281	LR: 0.000800
Training Epoch: 17 [6400/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 17 [6656/48750]	Loss: 0.2807	LR: 0.000800
Training Epoch: 17 [6912/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 17 [7168/48750]	Loss: 0.3579	LR: 0.000800
Training Epoch: 17 [7424/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 17 [7680/48750]	Loss: 0.2632	LR: 0.000800
Training Epoch: 17 [7936/48750]	Loss: 0.1851	LR: 0.000800
Training Epoch: 17 [8192/48750]	Loss: 0.3321	LR: 0.000800
Training Epoch: 17 [8448/48750]	Loss: 0.1925	LR: 0.000800
Training Epoch: 17 [8704/48750]	Loss: 0.2543	LR: 0.000800
Training Epoch: 17 [8960/48750]	Loss: 0.2722	LR: 0.000800
Training Epoch: 17 [9216/48750]	Loss: 0.2143	LR: 0.000800
Training Epoch: 17 [9472/48750]	Loss: 0.1924	LR: 0.000800
Training Epoch: 17 [9728/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 17 [9984/48750]	Loss: 0.2596	LR: 0.000800
Training Epoch: 17 [10240/48750]	Loss: 0.2947	LR: 0.000800
Training Epoch: 17 [10496/48750]	Loss: 0.2679	LR: 0.000800
Training Epoch: 17 [10752/48750]	Loss: 0.2766	LR: 0.000800
Training Epoch: 17 [11008/48750]	Loss: 0.3184	LR: 0.000800
Training Epoch: 17 [11264/48750]	Loss: 0.2961	LR: 0.000800
Training Epoch: 17 [11520/48750]	Loss: 0.2347	LR: 0.000800
Training Epoch: 17 [11776/48750]	Loss: 0.2727	LR: 0.000800
Training Epoch: 17 [12032/48750]	Loss: 0.2837	LR: 0.000800
Training Epoch: 17 [12288/48750]	Loss: 0.2851	LR: 0.000800
Training Epoch: 17 [12544/48750]	Loss: 0.2740	LR: 0.000800
Training Epoch: 17 [12800/48750]	Loss: 0.2643	LR: 0.000800
Training Epoch: 17 [13056/48750]	Loss: 0.2557	LR: 0.000800
Training Epoch: 17 [13312/48750]	Loss: 0.3077	LR: 0.000800
Training Epoch: 17 [13568/48750]	Loss: 0.3314	LR: 0.000800
Training Epoch: 17 [13824/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 17 [14080/48750]	Loss: 0.3286	LR: 0.000800
Training Epoch: 17 [14336/48750]	Loss: 0.3679	LR: 0.000800
Training Epoch: 17 [14592/48750]	Loss: 0.1743	LR: 0.000800
Training Epoch: 17 [14848/48750]	Loss: 0.2880	LR: 0.000800
Training Epoch: 17 [15104/48750]	Loss: 0.2159	LR: 0.000800
Training Epoch: 17 [15360/48750]	Loss: 0.2599	LR: 0.000800
Training Epoch: 17 [15616/48750]	Loss: 0.2083	LR: 0.000800
Training Epoch: 17 [15872/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 17 [16128/48750]	Loss: 0.2565	LR: 0.000800
Training Epoch: 17 [16384/48750]	Loss: 0.3056	LR: 0.000800
Training Epoch: 17 [16640/48750]	Loss: 0.2771	LR: 0.000800
Training Epoch: 17 [16896/48750]	Loss: 0.2499	LR: 0.000800
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Training Epoch: 17 [17408/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 17 [17664/48750]	Loss: 0.3611	LR: 0.000800
Training Epoch: 17 [17920/48750]	Loss: 0.2692	LR: 0.000800
Training Epoch: 17 [18176/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 17 [18432/48750]	Loss: 0.2363	LR: 0.000800
Training Epoch: 17 [18688/48750]	Loss: 0.2386	LR: 0.000800
Training Epoch: 17 [18944/48750]	Loss: 0.2384	LR: 0.000800
Training Epoch: 17 [19200/48750]	Loss: 0.2941	LR: 0.000800
Training Epoch: 17 [19456/48750]	Loss: 0.3275	LR: 0.000800
Training Epoch: 17 [19712/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 17 [19968/48750]	Loss: 0.2724	LR: 0.000800
Training Epoch: 17 [20224/48750]	Loss: 0.2359	LR: 0.000800
Training Epoch: 17 [20480/48750]	Loss: 0.2671	LR: 0.000800
Training Epoch: 17 [20736/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 17 [20992/48750]	Loss: 0.2981	LR: 0.000800
Training Epoch: 17 [21248/48750]	Loss: 0.2963	LR: 0.000800
Training Epoch: 17 [21504/48750]	Loss: 0.2539	LR: 0.000800
Training Epoch: 17 [21760/48750]	Loss: 0.2419	LR: 0.000800
Training Epoch: 17 [22016/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 17 [22272/48750]	Loss: 0.2353	LR: 0.000800
Training Epoch: 17 [22528/48750]	Loss: 0.2175	LR: 0.000800
Training Epoch: 17 [22784/48750]	Loss: 0.1982	LR: 0.000800
Training Epoch: 17 [23040/48750]	Loss: 0.2829	LR: 0.000800
Training Epoch: 17 [23296/48750]	Loss: 0.3122	LR: 0.000800
Training Epoch: 17 [23552/48750]	Loss: 0.2133	LR: 0.000800
Training Epoch: 17 [23808/48750]	Loss: 0.2576	LR: 0.000800
Training Epoch: 17 [24064/48750]	Loss: 0.2867	LR: 0.000800
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Training Epoch: 17 [45568/48750]	Loss: 0.2105	LR: 0.000800
Training Epoch: 17 [45824/48750]	Loss: 0.3196	LR: 0.000800
Training Epoch: 17 [46080/48750]	Loss: 0.2289	LR: 0.000800
Training Epoch: 17 [46336/48750]	Loss: 0.2552	LR: 0.000800
Training Epoch: 17 [46592/48750]	Loss: 0.3373	LR: 0.000800
Training Epoch: 17 [46848/48750]	Loss: 0.2917	LR: 0.000800
Training Epoch: 17 [47104/48750]	Loss: 0.3565	LR: 0.000800
Training Epoch: 17 [47360/48750]	Loss: 0.2536	LR: 0.000800
Training Epoch: 17 [47616/48750]	Loss: 0.2506	LR: 0.000800
Training Epoch: 17 [47872/48750]	Loss: 0.3092	LR: 0.000800
Training Epoch: 17 [48128/48750]	Loss: 0.2994	LR: 0.000800
Training Epoch: 17 [48384/48750]	Loss: 0.3794	LR: 0.000800
Training Epoch: 17 [48640/48750]	Loss: 0.2356	LR: 0.000800
Training Epoch: 17 [48750/48750]	Loss: 0.3265	LR: 0.000800
Epoch 17 - Average Train Loss: 0.2687, Train Accuracy: 0.9067
Epoch 17 training time consumed: 29.14s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0013, Accuracy: 0.8951, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-17-best.pth
Training Epoch: 18 [256/48750]	Loss: 0.2728	LR: 0.000800
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Training Epoch: 18 [768/48750]	Loss: 0.2242	LR: 0.000800
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Training Epoch: 18 [1536/48750]	Loss: 0.3171	LR: 0.000800
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Training Epoch: 18 [12288/48750]	Loss: 0.2695	LR: 0.000800
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Training Epoch: 18 [23808/48750]	Loss: 0.3320	LR: 0.000800
Training Epoch: 18 [24064/48750]	Loss: 0.3016	LR: 0.000800
Training Epoch: 18 [24320/48750]	Loss: 0.2416	LR: 0.000800
Training Epoch: 18 [24576/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 18 [24832/48750]	Loss: 0.2201	LR: 0.000800
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Training Epoch: 18 [25344/48750]	Loss: 0.2800	LR: 0.000800
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Training Epoch: 18 [25856/48750]	Loss: 0.3193	LR: 0.000800
Training Epoch: 18 [26112/48750]	Loss: 0.2787	LR: 0.000800
Training Epoch: 18 [26368/48750]	Loss: 0.2845	LR: 0.000800
Training Epoch: 18 [26624/48750]	Loss: 0.3037	LR: 0.000800
Training Epoch: 18 [26880/48750]	Loss: 0.2931	LR: 0.000800
Training Epoch: 18 [27136/48750]	Loss: 0.2563	LR: 0.000800
Training Epoch: 18 [27392/48750]	Loss: 0.2032	LR: 0.000800
Training Epoch: 18 [27648/48750]	Loss: 0.2556	LR: 0.000800
Training Epoch: 18 [27904/48750]	Loss: 0.2637	LR: 0.000800
Training Epoch: 18 [28160/48750]	Loss: 0.2951	LR: 0.000800
Training Epoch: 18 [28416/48750]	Loss: 0.3586	LR: 0.000800
Training Epoch: 18 [28672/48750]	Loss: 0.2614	LR: 0.000800
Training Epoch: 18 [28928/48750]	Loss: 0.3506	LR: 0.000800
Training Epoch: 18 [29184/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 18 [29440/48750]	Loss: 0.3341	LR: 0.000800
Training Epoch: 18 [29696/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 18 [29952/48750]	Loss: 0.2326	LR: 0.000800
Training Epoch: 18 [30208/48750]	Loss: 0.1967	LR: 0.000800
Training Epoch: 18 [30464/48750]	Loss: 0.2900	LR: 0.000800
Training Epoch: 18 [30720/48750]	Loss: 0.3083	LR: 0.000800
Training Epoch: 18 [30976/48750]	Loss: 0.2976	LR: 0.000800
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Training Epoch: 18 [32256/48750]	Loss: 0.2786	LR: 0.000800
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Training Epoch: 18 [34560/48750]	Loss: 0.3069	LR: 0.000800
Training Epoch: 18 [34816/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 18 [35072/48750]	Loss: 0.2665	LR: 0.000800
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Training Epoch: 18 [35584/48750]	Loss: 0.2578	LR: 0.000800
Training Epoch: 18 [35840/48750]	Loss: 0.2767	LR: 0.000800
Training Epoch: 18 [36096/48750]	Loss: 0.2297	LR: 0.000800
Training Epoch: 18 [36352/48750]	Loss: 0.3559	LR: 0.000800
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Training Epoch: 18 [37888/48750]	Loss: 0.2863	LR: 0.000800
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Training Epoch: 18 [38400/48750]	Loss: 0.2914	LR: 0.000800
Training Epoch: 18 [38656/48750]	Loss: 0.2858	LR: 0.000800
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Training Epoch: 18 [48128/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 18 [48384/48750]	Loss: 0.2687	LR: 0.000800
Training Epoch: 18 [48640/48750]	Loss: 0.2810	LR: 0.000800
Training Epoch: 18 [48750/48750]	Loss: 0.2726	LR: 0.000800
Epoch 18 - Average Train Loss: 0.2638, Train Accuracy: 0.9090
Epoch 18 training time consumed: 29.33s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0013, Accuracy: 0.8935, Time consumed:0.85s
Training Epoch: 19 [256/48750]	Loss: 0.2069	LR: 0.000800
Training Epoch: 19 [512/48750]	Loss: 0.1828	LR: 0.000800
Training Epoch: 19 [768/48750]	Loss: 0.2223	LR: 0.000800
Training Epoch: 19 [1024/48750]	Loss: 0.2525	LR: 0.000800
Training Epoch: 19 [1280/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 19 [1536/48750]	Loss: 0.2062	LR: 0.000800
Training Epoch: 19 [1792/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 19 [2048/48750]	Loss: 0.3122	LR: 0.000800
Training Epoch: 19 [2304/48750]	Loss: 0.2012	LR: 0.000800
Training Epoch: 19 [2560/48750]	Loss: 0.2868	LR: 0.000800
Training Epoch: 19 [2816/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 19 [3072/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 19 [3328/48750]	Loss: 0.2723	LR: 0.000800
Training Epoch: 19 [3584/48750]	Loss: 0.3528	LR: 0.000800
Training Epoch: 19 [3840/48750]	Loss: 0.2242	LR: 0.000800
Training Epoch: 19 [4096/48750]	Loss: 0.2822	LR: 0.000800
Training Epoch: 19 [4352/48750]	Loss: 0.2939	LR: 0.000800
Training Epoch: 19 [4608/48750]	Loss: 0.3361	LR: 0.000800
Training Epoch: 19 [4864/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [5120/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 19 [5376/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [5632/48750]	Loss: 0.2586	LR: 0.000800
Training Epoch: 19 [5888/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 19 [6144/48750]	Loss: 0.2128	LR: 0.000800
Training Epoch: 19 [6400/48750]	Loss: 0.2446	LR: 0.000800
Training Epoch: 19 [6656/48750]	Loss: 0.2644	LR: 0.000800
Training Epoch: 19 [6912/48750]	Loss: 0.3801	LR: 0.000800
Training Epoch: 19 [7168/48750]	Loss: 0.3990	LR: 0.000800
Training Epoch: 19 [7424/48750]	Loss: 0.2365	LR: 0.000800
Training Epoch: 19 [7680/48750]	Loss: 0.2410	LR: 0.000800
Training Epoch: 19 [7936/48750]	Loss: 0.2758	LR: 0.000800
Training Epoch: 19 [8192/48750]	Loss: 0.2354	LR: 0.000800
Training Epoch: 19 [8448/48750]	Loss: 0.2252	LR: 0.000800
Training Epoch: 19 [8704/48750]	Loss: 0.1964	LR: 0.000800
Training Epoch: 19 [8960/48750]	Loss: 0.1682	LR: 0.000800
Training Epoch: 19 [9216/48750]	Loss: 0.2980	LR: 0.000800
Training Epoch: 19 [9472/48750]	Loss: 0.2634	LR: 0.000800
Training Epoch: 19 [9728/48750]	Loss: 0.2777	LR: 0.000800
Training Epoch: 19 [9984/48750]	Loss: 0.2302	LR: 0.000800
Training Epoch: 19 [10240/48750]	Loss: 0.3736	LR: 0.000800
Training Epoch: 19 [10496/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 19 [10752/48750]	Loss: 0.2968	LR: 0.000800
Training Epoch: 19 [11008/48750]	Loss: 0.2912	LR: 0.000800
Training Epoch: 19 [11264/48750]	Loss: 0.2501	LR: 0.000800
Training Epoch: 19 [11520/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 19 [11776/48750]	Loss: 0.2621	LR: 0.000800
Training Epoch: 19 [12032/48750]	Loss: 0.2569	LR: 0.000800
Training Epoch: 19 [12288/48750]	Loss: 0.2696	LR: 0.000800
Training Epoch: 19 [12544/48750]	Loss: 0.3504	LR: 0.000800
Training Epoch: 19 [12800/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 19 [13056/48750]	Loss: 0.2940	LR: 0.000800
Training Epoch: 19 [13312/48750]	Loss: 0.3233	LR: 0.000800
Training Epoch: 19 [13568/48750]	Loss: 0.2492	LR: 0.000800
Training Epoch: 19 [13824/48750]	Loss: 0.3211	LR: 0.000800
Training Epoch: 19 [14080/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [14336/48750]	Loss: 0.2302	LR: 0.000800
Training Epoch: 19 [14592/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 19 [14848/48750]	Loss: 0.2514	LR: 0.000800
Training Epoch: 19 [15104/48750]	Loss: 0.2228	LR: 0.000800
Training Epoch: 19 [15360/48750]	Loss: 0.2033	LR: 0.000800
Training Epoch: 19 [15616/48750]	Loss: 0.3063	LR: 0.000800
Training Epoch: 19 [15872/48750]	Loss: 0.1978	LR: 0.000800
Training Epoch: 19 [16128/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 19 [16384/48750]	Loss: 0.1696	LR: 0.000800
Training Epoch: 19 [16640/48750]	Loss: 0.2995	LR: 0.000800
Training Epoch: 19 [16896/48750]	Loss: 0.2982	LR: 0.000800
Training Epoch: 19 [17152/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 19 [17408/48750]	Loss: 0.1942	LR: 0.000800
Training Epoch: 19 [17664/48750]	Loss: 0.2140	LR: 0.000800
Training Epoch: 19 [17920/48750]	Loss: 0.2248	LR: 0.000800
Training Epoch: 19 [18176/48750]	Loss: 0.2619	LR: 0.000800
Training Epoch: 19 [18432/48750]	Loss: 0.3215	LR: 0.000800
Training Epoch: 19 [18688/48750]	Loss: 0.2222	LR: 0.000800
Training Epoch: 19 [18944/48750]	Loss: 0.3100	LR: 0.000800
Training Epoch: 19 [19200/48750]	Loss: 0.3258	LR: 0.000800
Training Epoch: 19 [19456/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 19 [19712/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [19968/48750]	Loss: 0.2025	LR: 0.000800
Training Epoch: 19 [20224/48750]	Loss: 0.2259	LR: 0.000800
Training Epoch: 19 [20480/48750]	Loss: 0.2178	LR: 0.000800
Training Epoch: 19 [20736/48750]	Loss: 0.2618	LR: 0.000800
Training Epoch: 19 [20992/48750]	Loss: 0.3592	LR: 0.000800
Training Epoch: 19 [21248/48750]	Loss: 0.2871	LR: 0.000800
Training Epoch: 19 [21504/48750]	Loss: 0.2715	LR: 0.000800
Training Epoch: 19 [21760/48750]	Loss: 0.2481	LR: 0.000800
Training Epoch: 19 [22016/48750]	Loss: 0.3021	LR: 0.000800
Training Epoch: 19 [22272/48750]	Loss: 0.2136	LR: 0.000800
Training Epoch: 19 [22528/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 19 [22784/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 19 [23040/48750]	Loss: 0.2955	LR: 0.000800
Training Epoch: 19 [23296/48750]	Loss: 0.3638	LR: 0.000800
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Training Epoch: 19 [24576/48750]	Loss: 0.2640	LR: 0.000800
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Training Epoch: 19 [25088/48750]	Loss: 0.2505	LR: 0.000800
Training Epoch: 19 [25344/48750]	Loss: 0.2721	LR: 0.000800
Training Epoch: 19 [25600/48750]	Loss: 0.3261	LR: 0.000800
Training Epoch: 19 [25856/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 19 [26112/48750]	Loss: 0.2222	LR: 0.000800
Training Epoch: 19 [26368/48750]	Loss: 0.2010	LR: 0.000800
Training Epoch: 19 [26624/48750]	Loss: 0.2852	LR: 0.000800
Training Epoch: 19 [26880/48750]	Loss: 0.2327	LR: 0.000800
Training Epoch: 19 [27136/48750]	Loss: 0.2573	LR: 0.000800
Training Epoch: 19 [27392/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 19 [27648/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 19 [27904/48750]	Loss: 0.3350	LR: 0.000800
Training Epoch: 19 [28160/48750]	Loss: 0.2877	LR: 0.000800
Training Epoch: 19 [28416/48750]	Loss: 0.2776	LR: 0.000800
Training Epoch: 19 [28672/48750]	Loss: 0.3573	LR: 0.000800
Training Epoch: 19 [28928/48750]	Loss: 0.2407	LR: 0.000800
Training Epoch: 19 [29184/48750]	Loss: 0.3201	LR: 0.000800
Training Epoch: 19 [29440/48750]	Loss: 0.2540	LR: 0.000800
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Training Epoch: 19 [31232/48750]	Loss: 0.3540	LR: 0.000800
Training Epoch: 19 [31488/48750]	Loss: 0.3147	LR: 0.000800
Training Epoch: 19 [31744/48750]	Loss: 0.2299	LR: 0.000800
Training Epoch: 19 [32000/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 19 [32256/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [32512/48750]	Loss: 0.1495	LR: 0.000800
Training Epoch: 19 [32768/48750]	Loss: 0.2963	LR: 0.000800
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Training Epoch: 19 [33280/48750]	Loss: 0.2599	LR: 0.000800
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Training Epoch: 19 [35072/48750]	Loss: 0.2356	LR: 0.000800
Training Epoch: 19 [35328/48750]	Loss: 0.1950	LR: 0.000800
Training Epoch: 19 [35584/48750]	Loss: 0.2231	LR: 0.000800
Training Epoch: 19 [35840/48750]	Loss: 0.2489	LR: 0.000800
Training Epoch: 19 [36096/48750]	Loss: 0.3129	LR: 0.000800
Training Epoch: 19 [36352/48750]	Loss: 0.2483	LR: 0.000800
Training Epoch: 19 [36608/48750]	Loss: 0.2831	LR: 0.000800
Training Epoch: 19 [36864/48750]	Loss: 0.2860	LR: 0.000800
Training Epoch: 19 [37120/48750]	Loss: 0.2374	LR: 0.000800
Training Epoch: 19 [37376/48750]	Loss: 0.2975	LR: 0.000800
Training Epoch: 19 [37632/48750]	Loss: 0.2920	LR: 0.000800
Training Epoch: 19 [37888/48750]	Loss: 0.2597	LR: 0.000800
Training Epoch: 19 [38144/48750]	Loss: 0.2656	LR: 0.000800
Training Epoch: 19 [38400/48750]	Loss: 0.2672	LR: 0.000800
Training Epoch: 19 [38656/48750]	Loss: 0.2603	LR: 0.000800
Training Epoch: 19 [38912/48750]	Loss: 0.1931	LR: 0.000800
Training Epoch: 19 [39168/48750]	Loss: 0.2449	LR: 0.000800
Training Epoch: 19 [39424/48750]	Loss: 0.2936	LR: 0.000800
Training Epoch: 19 [39680/48750]	Loss: 0.2402	LR: 0.000800
Training Epoch: 19 [39936/48750]	Loss: 0.2549	LR: 0.000800
Training Epoch: 19 [40192/48750]	Loss: 0.2148	LR: 0.000800
Training Epoch: 19 [40448/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 19 [40704/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 19 [40960/48750]	Loss: 0.1724	LR: 0.000800
Training Epoch: 19 [41216/48750]	Loss: 0.2869	LR: 0.000800
Training Epoch: 19 [41472/48750]	Loss: 0.2956	LR: 0.000800
Training Epoch: 19 [41728/48750]	Loss: 0.2404	LR: 0.000800
Training Epoch: 19 [41984/48750]	Loss: 0.3353	LR: 0.000800
Training Epoch: 19 [42240/48750]	Loss: 0.2493	LR: 0.000800
Training Epoch: 19 [42496/48750]	Loss: 0.2303	LR: 0.000800
Training Epoch: 19 [42752/48750]	Loss: 0.2585	LR: 0.000800
Training Epoch: 19 [43008/48750]	Loss: 0.2830	LR: 0.000800
Training Epoch: 19 [43264/48750]	Loss: 0.2609	LR: 0.000800
Training Epoch: 19 [43520/48750]	Loss: 0.2380	LR: 0.000800
Training Epoch: 19 [43776/48750]	Loss: 0.2967	LR: 0.000800
Training Epoch: 19 [44032/48750]	Loss: 0.1934	LR: 0.000800
Training Epoch: 19 [44288/48750]	Loss: 0.2296	LR: 0.000800
Training Epoch: 19 [44544/48750]	Loss: 0.2988	LR: 0.000800
Training Epoch: 19 [44800/48750]	Loss: 0.2458	LR: 0.000800
Training Epoch: 19 [45056/48750]	Loss: 0.2237	LR: 0.000800
Training Epoch: 19 [45312/48750]	Loss: 0.2638	LR: 0.000800
Training Epoch: 19 [45568/48750]	Loss: 0.2827	LR: 0.000800
Training Epoch: 19 [45824/48750]	Loss: 0.2244	LR: 0.000800
Training Epoch: 19 [46080/48750]	Loss: 0.2733	LR: 0.000800
Training Epoch: 19 [46336/48750]	Loss: 0.3299	LR: 0.000800
Training Epoch: 19 [46592/48750]	Loss: 0.2985	LR: 0.000800
Training Epoch: 19 [46848/48750]	Loss: 0.2422	LR: 0.000800
Training Epoch: 19 [47104/48750]	Loss: 0.3137	LR: 0.000800
Training Epoch: 19 [47360/48750]	Loss: 0.2479	LR: 0.000800
Training Epoch: 19 [47616/48750]	Loss: 0.2439	LR: 0.000800
Training Epoch: 19 [47872/48750]	Loss: 0.2515	LR: 0.000800
Training Epoch: 19 [48128/48750]	Loss: 0.3567	LR: 0.000800
Training Epoch: 19 [48384/48750]	Loss: 0.3005	LR: 0.000800
Training Epoch: 19 [48640/48750]	Loss: 0.3011	LR: 0.000800
Training Epoch: 19 [48750/48750]	Loss: 0.2701	LR: 0.000800
Epoch 19 - Average Train Loss: 0.2651, Train Accuracy: 0.9073
Epoch 19 training time consumed: 29.17s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0013, Accuracy: 0.8959, Time consumed:0.86s
Saving weights file to checkpoint/retrain/ResNet18/Saturday_12_July_2025_14h_50m_24s/ResNet18-Cifar10-seed2-ret75-19-best.pth
Training Epoch: 20 [256/48750]	Loss: 0.2848	LR: 0.000800
Training Epoch: 20 [512/48750]	Loss: 0.2916	LR: 0.000800
Training Epoch: 20 [768/48750]	Loss: 0.2127	LR: 0.000800
Training Epoch: 20 [1024/48750]	Loss: 0.2796	LR: 0.000800
Training Epoch: 20 [1280/48750]	Loss: 0.3302	LR: 0.000800
Training Epoch: 20 [1536/48750]	Loss: 0.3143	LR: 0.000800
Training Epoch: 20 [1792/48750]	Loss: 0.2116	LR: 0.000800
Training Epoch: 20 [2048/48750]	Loss: 0.2051	LR: 0.000800
Training Epoch: 20 [2304/48750]	Loss: 0.2642	LR: 0.000800
Training Epoch: 20 [2560/48750]	Loss: 0.2508	LR: 0.000800
Training Epoch: 20 [2816/48750]	Loss: 0.2631	LR: 0.000800
Training Epoch: 20 [3072/48750]	Loss: 0.2507	LR: 0.000800
Training Epoch: 20 [3328/48750]	Loss: 0.2818	LR: 0.000800
Training Epoch: 20 [3584/48750]	Loss: 0.2458	LR: 0.000800
Training Epoch: 20 [3840/48750]	Loss: 0.2477	LR: 0.000800
Training Epoch: 20 [4096/48750]	Loss: 0.3566	LR: 0.000800
Training Epoch: 20 [4352/48750]	Loss: 0.2438	LR: 0.000800
Training Epoch: 20 [4608/48750]	Loss: 0.2251	LR: 0.000800
Training Epoch: 20 [4864/48750]	Loss: 0.2749	LR: 0.000800
Training Epoch: 20 [5120/48750]	Loss: 0.3095	LR: 0.000800
Training Epoch: 20 [5376/48750]	Loss: 0.2366	LR: 0.000800
Training Epoch: 20 [5632/48750]	Loss: 0.2627	LR: 0.000800
Training Epoch: 20 [5888/48750]	Loss: 0.2441	LR: 0.000800
Training Epoch: 20 [6144/48750]	Loss: 0.2701	LR: 0.000800
Training Epoch: 20 [6400/48750]	Loss: 0.3053	LR: 0.000800
Training Epoch: 20 [6656/48750]	Loss: 0.1604	LR: 0.000800
Training Epoch: 20 [6912/48750]	Loss: 0.2510	LR: 0.000800
Training Epoch: 20 [7168/48750]	Loss: 0.3070	LR: 0.000800
Training Epoch: 20 [7424/48750]	Loss: 0.2317	LR: 0.000800
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Training Epoch: 20 [7936/48750]	Loss: 0.2617	LR: 0.000800
Training Epoch: 20 [8192/48750]	Loss: 0.2938	LR: 0.000800
Training Epoch: 20 [8448/48750]	Loss: 0.2207	LR: 0.000800
Training Epoch: 20 [8704/48750]	Loss: 0.2904	LR: 0.000800
Training Epoch: 20 [8960/48750]	Loss: 0.2525	LR: 0.000800
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Training Epoch: 20 [9984/48750]	Loss: 0.2379	LR: 0.000800
Training Epoch: 20 [10240/48750]	Loss: 0.2734	LR: 0.000800
Training Epoch: 20 [10496/48750]	Loss: 0.2298	LR: 0.000800
Training Epoch: 20 [10752/48750]	Loss: 0.3256	LR: 0.000800
Training Epoch: 20 [11008/48750]	Loss: 0.2301	LR: 0.000800
Training Epoch: 20 [11264/48750]	Loss: 0.2440	LR: 0.000800
Training Epoch: 20 [11520/48750]	Loss: 0.2079	LR: 0.000800
Training Epoch: 20 [11776/48750]	Loss: 0.2289	LR: 0.000800
Training Epoch: 20 [12032/48750]	Loss: 0.2655	LR: 0.000800
Training Epoch: 20 [12288/48750]	Loss: 0.2410	LR: 0.000800
Training Epoch: 20 [12544/48750]	Loss: 0.2861	LR: 0.000800
Training Epoch: 20 [12800/48750]	Loss: 0.2615	LR: 0.000800
Training Epoch: 20 [13056/48750]	Loss: 0.2743	LR: 0.000800
Training Epoch: 20 [13312/48750]	Loss: 0.2331	LR: 0.000800
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Training Epoch: 20 [15616/48750]	Loss: 0.2131	LR: 0.000800
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Training Epoch: 20 [16128/48750]	Loss: 0.2417	LR: 0.000800
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Training Epoch: 20 [16896/48750]	Loss: 0.2121	LR: 0.000800
Training Epoch: 20 [17152/48750]	Loss: 0.2459	LR: 0.000800
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Training Epoch: 20 [18176/48750]	Loss: 0.3146	LR: 0.000800
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Training Epoch: 20 [19456/48750]	Loss: 0.2414	LR: 0.000800
Training Epoch: 20 [19712/48750]	Loss: 0.2554	LR: 0.000800
Training Epoch: 20 [19968/48750]	Loss: 0.2753	LR: 0.000800
Training Epoch: 20 [20224/48750]	Loss: 0.3116	LR: 0.000800
Training Epoch: 20 [20480/48750]	Loss: 0.2856	LR: 0.000800
Training Epoch: 20 [20736/48750]	Loss: 0.2463	LR: 0.000800
Training Epoch: 20 [20992/48750]	Loss: 0.2464	LR: 0.000800
Training Epoch: 20 [21248/48750]	Loss: 0.2710	LR: 0.000800
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Training Epoch: 20 [21760/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 20 [22016/48750]	Loss: 0.1814	LR: 0.000800
Training Epoch: 20 [22272/48750]	Loss: 0.2714	LR: 0.000800
Training Epoch: 20 [22528/48750]	Loss: 0.1712	LR: 0.000800
Training Epoch: 20 [22784/48750]	Loss: 0.3060	LR: 0.000800
Training Epoch: 20 [23040/48750]	Loss: 0.3107	LR: 0.000800
Training Epoch: 20 [23296/48750]	Loss: 0.2623	LR: 0.000800
Training Epoch: 20 [23552/48750]	Loss: 0.2598	LR: 0.000800
Training Epoch: 20 [23808/48750]	Loss: 0.2612	LR: 0.000800
Training Epoch: 20 [24064/48750]	Loss: 0.3151	LR: 0.000800
Training Epoch: 20 [24320/48750]	Loss: 0.3212	LR: 0.000800
Training Epoch: 20 [24576/48750]	Loss: 0.1846	LR: 0.000800
Training Epoch: 20 [24832/48750]	Loss: 0.2834	LR: 0.000800
Training Epoch: 20 [25088/48750]	Loss: 0.2349	LR: 0.000800
Training Epoch: 20 [25344/48750]	Loss: 0.2703	LR: 0.000800
Training Epoch: 20 [25600/48750]	Loss: 0.2313	LR: 0.000800
Training Epoch: 20 [25856/48750]	Loss: 0.2310	LR: 0.000800
Training Epoch: 20 [26112/48750]	Loss: 0.2147	LR: 0.000800
Training Epoch: 20 [26368/48750]	Loss: 0.2382	LR: 0.000800
Training Epoch: 20 [26624/48750]	Loss: 0.2428	LR: 0.000800
Training Epoch: 20 [26880/48750]	Loss: 0.2392	LR: 0.000800
Training Epoch: 20 [27136/48750]	Loss: 0.2605	LR: 0.000800
Training Epoch: 20 [27392/48750]	Loss: 0.3466	LR: 0.000800
Training Epoch: 20 [27648/48750]	Loss: 0.2570	LR: 0.000800
Training Epoch: 20 [27904/48750]	Loss: 0.2443	LR: 0.000800
Training Epoch: 20 [28160/48750]	Loss: 0.2045	LR: 0.000800
Training Epoch: 20 [28416/48750]	Loss: 0.3291	LR: 0.000800
Training Epoch: 20 [28672/48750]	Loss: 0.2035	LR: 0.000800
Training Epoch: 20 [28928/48750]	Loss: 0.2754	LR: 0.000800
Training Epoch: 20 [29184/48750]	Loss: 0.1879	LR: 0.000800
Training Epoch: 20 [29440/48750]	Loss: 0.2053	LR: 0.000800
Training Epoch: 20 [29696/48750]	Loss: 0.2798	LR: 0.000800
Training Epoch: 20 [29952/48750]	Loss: 0.2666	LR: 0.000800
Training Epoch: 20 [30208/48750]	Loss: 0.3105	LR: 0.000800
Training Epoch: 20 [30464/48750]	Loss: 0.2696	LR: 0.000800
Training Epoch: 20 [30720/48750]	Loss: 0.3389	LR: 0.000800
Training Epoch: 20 [30976/48750]	Loss: 0.1789	LR: 0.000800
Training Epoch: 20 [31232/48750]	Loss: 0.2670	LR: 0.000800
Training Epoch: 20 [31488/48750]	Loss: 0.2406	LR: 0.000800
Training Epoch: 20 [31744/48750]	Loss: 0.2466	LR: 0.000800
Training Epoch: 20 [32000/48750]	Loss: 0.2455	LR: 0.000800
Training Epoch: 20 [32256/48750]	Loss: 0.2760	LR: 0.000800
Training Epoch: 20 [32512/48750]	Loss: 0.2448	LR: 0.000800
Training Epoch: 20 [32768/48750]	Loss: 0.2750	LR: 0.000800
Training Epoch: 20 [33024/48750]	Loss: 0.2444	LR: 0.000800
Training Epoch: 20 [33280/48750]	Loss: 0.2694	LR: 0.000800
Training Epoch: 20 [33536/48750]	Loss: 0.2126	LR: 0.000800
Training Epoch: 20 [33792/48750]	Loss: 0.1933	LR: 0.000800
Training Epoch: 20 [34048/48750]	Loss: 0.3028	LR: 0.000800
Training Epoch: 20 [34304/48750]	Loss: 0.2577	LR: 0.000800
Training Epoch: 20 [34560/48750]	Loss: 0.2684	LR: 0.000800
Training Epoch: 20 [34816/48750]	Loss: 0.2544	LR: 0.000800
Training Epoch: 20 [35072/48750]	Loss: 0.3401	LR: 0.000800
Training Epoch: 20 [35328/48750]	Loss: 0.2180	LR: 0.000800
Training Epoch: 20 [35584/48750]	Loss: 0.3142	LR: 0.000800
Training Epoch: 20 [35840/48750]	Loss: 0.2236	LR: 0.000800
Training Epoch: 20 [36096/48750]	Loss: 0.2267	LR: 0.000800
Training Epoch: 20 [36352/48750]	Loss: 0.2927	LR: 0.000800
Training Epoch: 20 [36608/48750]	Loss: 0.2394	LR: 0.000800
Training Epoch: 20 [36864/48750]	Loss: 0.3032	LR: 0.000800
Training Epoch: 20 [37120/48750]	Loss: 0.2281	LR: 0.000800
Training Epoch: 20 [37376/48750]	Loss: 0.2086	LR: 0.000800
Training Epoch: 20 [37632/48750]	Loss: 0.3200	LR: 0.000800
Training Epoch: 20 [37888/48750]	Loss: 0.2747	LR: 0.000800
Training Epoch: 20 [38144/48750]	Loss: 0.3371	LR: 0.000800
Training Epoch: 20 [38400/48750]	Loss: 0.2282	LR: 0.000800
Training Epoch: 20 [38656/48750]	Loss: 0.2600	LR: 0.000800
Training Epoch: 20 [38912/48750]	Loss: 0.2433	LR: 0.000800
Training Epoch: 20 [39168/48750]	Loss: 0.2333	LR: 0.000800
Training Epoch: 20 [39424/48750]	Loss: 0.2725	LR: 0.000800
Training Epoch: 20 [39680/48750]	Loss: 0.2746	LR: 0.000800
Training Epoch: 20 [39936/48750]	Loss: 0.2194	LR: 0.000800
Training Epoch: 20 [40192/48750]	Loss: 0.2103	LR: 0.000800
Training Epoch: 20 [40448/48750]	Loss: 0.1879	LR: 0.000800
Training Epoch: 20 [40704/48750]	Loss: 0.2664	LR: 0.000800
Training Epoch: 20 [40960/48750]	Loss: 0.2503	LR: 0.000800
Training Epoch: 20 [41216/48750]	Loss: 0.1992	LR: 0.000800
Training Epoch: 20 [41472/48750]	Loss: 0.2375	LR: 0.000800
Training Epoch: 20 [41728/48750]	Loss: 0.3207	LR: 0.000800
Training Epoch: 20 [41984/48750]	Loss: 0.2352	LR: 0.000800
Training Epoch: 20 [42240/48750]	Loss: 0.2152	LR: 0.000800
Training Epoch: 20 [42496/48750]	Loss: 0.2660	LR: 0.000800
Training Epoch: 20 [42752/48750]	Loss: 0.3721	LR: 0.000800
Training Epoch: 20 [43008/48750]	Loss: 0.2965	LR: 0.000800
Training Epoch: 20 [43264/48750]	Loss: 0.2303	LR: 0.000800
Training Epoch: 20 [43520/48750]	Loss: 0.3628	LR: 0.000800
Training Epoch: 20 [43776/48750]	Loss: 0.2732	LR: 0.000800
Training Epoch: 20 [44032/48750]	Loss: 0.3371	LR: 0.000800
Training Epoch: 20 [44288/48750]	Loss: 0.2606	LR: 0.000800
Training Epoch: 20 [44544/48750]	Loss: 0.2456	LR: 0.000800
Training Epoch: 20 [44800/48750]	Loss: 0.3277	LR: 0.000800
Training Epoch: 20 [45056/48750]	Loss: 0.2836	LR: 0.000800
Training Epoch: 20 [45312/48750]	Loss: 0.4046	LR: 0.000800
Training Epoch: 20 [45568/48750]	Loss: 0.2744	LR: 0.000800
Training Epoch: 20 [45824/48750]	Loss: 0.2601	LR: 0.000800
Training Epoch: 20 [46080/48750]	Loss: 0.2196	LR: 0.000800
Training Epoch: 20 [46336/48750]	Loss: 0.2962	LR: 0.000800
Training Epoch: 20 [46592/48750]	Loss: 0.2498	LR: 0.000800
Training Epoch: 20 [46848/48750]	Loss: 0.3042	LR: 0.000800
Training Epoch: 20 [47104/48750]	Loss: 0.3266	LR: 0.000800
Training Epoch: 20 [47360/48750]	Loss: 0.3102	LR: 0.000800
Training Epoch: 20 [47616/48750]	Loss: 0.2623	LR: 0.000800
Training Epoch: 20 [47872/48750]	Loss: 0.2698	LR: 0.000800
Training Epoch: 20 [48128/48750]	Loss: 0.2188	LR: 0.000800
Training Epoch: 20 [48384/48750]	Loss: 0.2702	LR: 0.000800
Training Epoch: 20 [48640/48750]	Loss: 0.2202	LR: 0.000800
Training Epoch: 20 [48750/48750]	Loss: 0.2464	LR: 0.000800
Epoch 20 - Average Train Loss: 0.2618, Train Accuracy: 0.9103
Epoch 20 training time consumed: 28.98s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0013, Accuracy: 0.8955, Time consumed:0.87s
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: 89.6484375
Retain Accuracy: 91.32730865478516
Zero-Retain Forget (ZRF): 0.8371372818946838
Membership Inference Attack (MIA): 0.6056
Forget vs Retain Membership Inference Attack (MIA): 0.536
Forget vs Test Membership Inference Attack (MIA): 0.562
Test vs Retain Membership Inference Attack (MIA): 0.51425
Train vs Test Membership Inference Attack (MIA): 0.5205
Forget Set Accuracy (Df): 87.67768859863281
Method Execution Time: 1528.35 seconds
