
📌S Retain class distribution for seed 10:
Class 0: 5323
Class 1: 6142
Class 2: 5358
Class 3: 5531
Class 4: 5242
Class 5: 4821
Class 6: 5318
Class 7: 5665
Class 8: 5251
Class 9: 5349

📌S Forget class distribution for seed 10:
Class 0: 600
Class 1: 600
Class 2: 600
Class 3: 600
Class 4: 600
Class 5: 600
Class 6: 600
Class 7: 600
Class 8: 600
Class 9: 600
77=97

📊 Updated class distribution:
Retain set:
  Class 0: 5473
  Class 1: 6292
  Class 2: 5508
  Class 3: 5681
  Class 4: 5392
  Class 5: 4971
  Class 6: 5468
  Class 7: 5815
  Class 8: 5401
  Class 9: 5499
Forget set:
  Class 0: 450
  Class 1: 450
  Class 2: 450
  Class 3: 450
  Class 4: 450
  Class 5: 450
  Class 6: 450
  Class 7: 450
  Class 8: 450
  Class 9: 450
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/55500]	Loss: 2.3361	LR: 0.000000
Training Epoch: 1 [512/55500]	Loss: 2.3376	LR: 0.000461
Training Epoch: 1 [768/55500]	Loss: 2.3384	LR: 0.000922
Training Epoch: 1 [1024/55500]	Loss: 2.3336	LR: 0.001382
Training Epoch: 1 [1280/55500]	Loss: 2.3408	LR: 0.001843
Training Epoch: 1 [1536/55500]	Loss: 2.3039	LR: 0.002304
Training Epoch: 1 [1792/55500]	Loss: 2.2928	LR: 0.002765
Training Epoch: 1 [2048/55500]	Loss: 2.2858	LR: 0.003226
Training Epoch: 1 [2304/55500]	Loss: 2.2560	LR: 0.003687
Training Epoch: 1 [2560/55500]	Loss: 2.2762	LR: 0.004147
Training Epoch: 1 [2816/55500]	Loss: 2.2413	LR: 0.004608
Training Epoch: 1 [3072/55500]	Loss: 2.2211	LR: 0.005069
Training Epoch: 1 [3328/55500]	Loss: 2.1967	LR: 0.005530
Training Epoch: 1 [3584/55500]	Loss: 2.1894	LR: 0.005991
Training Epoch: 1 [3840/55500]	Loss: 2.1741	LR: 0.006452
Training Epoch: 1 [4096/55500]	Loss: 2.1581	LR: 0.006912
Training Epoch: 1 [4352/55500]	Loss: 2.1317	LR: 0.007373
Training Epoch: 1 [4608/55500]	Loss: 2.1153	LR: 0.007834
Training Epoch: 1 [4864/55500]	Loss: 2.0768	LR: 0.008295
Training Epoch: 1 [5120/55500]	Loss: 2.0599	LR: 0.008756
Training Epoch: 1 [5376/55500]	Loss: 2.0684	LR: 0.009217
Training Epoch: 1 [5632/55500]	Loss: 2.0518	LR: 0.009677
Training Epoch: 1 [5888/55500]	Loss: 2.0206	LR: 0.010138
Training Epoch: 1 [6144/55500]	Loss: 1.9956	LR: 0.010599
Training Epoch: 1 [6400/55500]	Loss: 1.9525	LR: 0.011060
Training Epoch: 1 [6656/55500]	Loss: 1.9173	LR: 0.011521
Training Epoch: 1 [6912/55500]	Loss: 1.8593	LR: 0.011982
Training Epoch: 1 [7168/55500]	Loss: 1.8209	LR: 0.012442
Training Epoch: 1 [7424/55500]	Loss: 1.7866	LR: 0.012903
Training Epoch: 1 [7680/55500]	Loss: 1.7458	LR: 0.013364
Training Epoch: 1 [7936/55500]	Loss: 1.7071	LR: 0.013825
Training Epoch: 1 [8192/55500]	Loss: 1.6438	LR: 0.014286
Training Epoch: 1 [8448/55500]	Loss: 1.6324	LR: 0.014747
Training Epoch: 1 [8704/55500]	Loss: 1.6264	LR: 0.015207
Training Epoch: 1 [8960/55500]	Loss: 1.5156	LR: 0.015668
Training Epoch: 1 [9216/55500]	Loss: 1.5171	LR: 0.016129
Training Epoch: 1 [9472/55500]	Loss: 1.4640	LR: 0.016590
Training Epoch: 1 [9728/55500]	Loss: 1.4153	LR: 0.017051
Training Epoch: 1 [9984/55500]	Loss: 1.2698	LR: 0.017512
Training Epoch: 1 [10240/55500]	Loss: 1.3032	LR: 0.017972
Training Epoch: 1 [10496/55500]	Loss: 1.2772	LR: 0.018433
Training Epoch: 1 [10752/55500]	Loss: 1.1488	LR: 0.018894
Training Epoch: 1 [11008/55500]	Loss: 1.1822	LR: 0.019355
Training Epoch: 1 [11264/55500]	Loss: 1.1092	LR: 0.019816
Training Epoch: 1 [11520/55500]	Loss: 1.0655	LR: 0.020276
Training Epoch: 1 [11776/55500]	Loss: 0.9923	LR: 0.020737
Training Epoch: 1 [12032/55500]	Loss: 0.9571	LR: 0.021198
Training Epoch: 1 [12288/55500]	Loss: 0.8771	LR: 0.021659
Training Epoch: 1 [12544/55500]	Loss: 0.8399	LR: 0.022120
Training Epoch: 1 [12800/55500]	Loss: 0.7891	LR: 0.022581
Training Epoch: 1 [13056/55500]	Loss: 0.6829	LR: 0.023041
Training Epoch: 1 [13312/55500]	Loss: 0.6643	LR: 0.023502
Training Epoch: 1 [13568/55500]	Loss: 0.6366	LR: 0.023963
Training Epoch: 1 [13824/55500]	Loss: 0.6320	LR: 0.024424
Training Epoch: 1 [14080/55500]	Loss: 0.5770	LR: 0.024885
Training Epoch: 1 [14336/55500]	Loss: 0.4850	LR: 0.025346
Training Epoch: 1 [14592/55500]	Loss: 0.5201	LR: 0.025806
Training Epoch: 1 [14848/55500]	Loss: 0.4646	LR: 0.026267
Training Epoch: 1 [15104/55500]	Loss: 0.3881	LR: 0.026728
Training Epoch: 1 [15360/55500]	Loss: 0.3897	LR: 0.027189
Training Epoch: 1 [15616/55500]	Loss: 0.3718	LR: 0.027650
Training Epoch: 1 [15872/55500]	Loss: 0.3260	LR: 0.028111
Training Epoch: 1 [16128/55500]	Loss: 0.2818	LR: 0.028571
Training Epoch: 1 [16384/55500]	Loss: 0.3458	LR: 0.029032
Training Epoch: 1 [16640/55500]	Loss: 0.3139	LR: 0.029493
Training Epoch: 1 [16896/55500]	Loss: 0.3480	LR: 0.029954
Training Epoch: 1 [17152/55500]	Loss: 0.2269	LR: 0.030415
Training Epoch: 1 [17408/55500]	Loss: 0.2413	LR: 0.030876
Training Epoch: 1 [17664/55500]	Loss: 0.2209	LR: 0.031336
Training Epoch: 1 [17920/55500]	Loss: 0.2242	LR: 0.031797
Training Epoch: 1 [18176/55500]	Loss: 0.2051	LR: 0.032258
Training Epoch: 1 [18432/55500]	Loss: 0.1953	LR: 0.032719
Training Epoch: 1 [18688/55500]	Loss: 0.1895	LR: 0.033180
Training Epoch: 1 [18944/55500]	Loss: 0.1764	LR: 0.033641
Training Epoch: 1 [19200/55500]	Loss: 0.2063	LR: 0.034101
Training Epoch: 1 [19456/55500]	Loss: 0.2090	LR: 0.034562
Training Epoch: 1 [19712/55500]	Loss: 0.1793	LR: 0.035023
Training Epoch: 1 [19968/55500]	Loss: 0.2133	LR: 0.035484
Training Epoch: 1 [20224/55500]	Loss: 0.1778	LR: 0.035945
Training Epoch: 1 [20480/55500]	Loss: 0.1877	LR: 0.036406
Training Epoch: 1 [20736/55500]	Loss: 0.1379	LR: 0.036866
Training Epoch: 1 [20992/55500]	Loss: 0.1943	LR: 0.037327
Training Epoch: 1 [21248/55500]	Loss: 0.1707	LR: 0.037788
Training Epoch: 1 [21504/55500]	Loss: 0.1615	LR: 0.038249
Training Epoch: 1 [21760/55500]	Loss: 0.1825	LR: 0.038710
Training Epoch: 1 [22016/55500]	Loss: 0.1353	LR: 0.039171
Training Epoch: 1 [22272/55500]	Loss: 0.1687	LR: 0.039631
Training Epoch: 1 [22528/55500]	Loss: 0.1428	LR: 0.040092
Training Epoch: 1 [22784/55500]	Loss: 0.1726	LR: 0.040553
Training Epoch: 1 [23040/55500]	Loss: 0.1513	LR: 0.041014
Training Epoch: 1 [23296/55500]	Loss: 0.1501	LR: 0.041475
Training Epoch: 1 [23552/55500]	Loss: 0.1124	LR: 0.041935
Training Epoch: 1 [23808/55500]	Loss: 0.1093	LR: 0.042396
Training Epoch: 1 [24064/55500]	Loss: 0.1228	LR: 0.042857
Training Epoch: 1 [24320/55500]	Loss: 0.0883	LR: 0.043318
Training Epoch: 1 [24576/55500]	Loss: 0.1315	LR: 0.043779
Training Epoch: 1 [24832/55500]	Loss: 0.0763	LR: 0.044240
Training Epoch: 1 [25088/55500]	Loss: 0.1727	LR: 0.044700
Training Epoch: 1 [25344/55500]	Loss: 0.1182	LR: 0.045161
Training Epoch: 1 [25600/55500]	Loss: 0.1830	LR: 0.045622
Training Epoch: 1 [25856/55500]	Loss: 0.1374	LR: 0.046083
Training Epoch: 1 [26112/55500]	Loss: 0.1485	LR: 0.046544
Training Epoch: 1 [26368/55500]	Loss: 0.1413	LR: 0.047005
Training Epoch: 1 [26624/55500]	Loss: 0.1995	LR: 0.047465
Training Epoch: 1 [26880/55500]	Loss: 0.1255	LR: 0.047926
Training Epoch: 1 [27136/55500]	Loss: 0.1058	LR: 0.048387
Training Epoch: 1 [27392/55500]	Loss: 0.1046	LR: 0.048848
Training Epoch: 1 [27648/55500]	Loss: 0.1212	LR: 0.049309
Training Epoch: 1 [27904/55500]	Loss: 0.1468	LR: 0.049770
Training Epoch: 1 [28160/55500]	Loss: 0.1777	LR: 0.050230
Training Epoch: 1 [28416/55500]	Loss: 0.0818	LR: 0.050691
Training Epoch: 1 [28672/55500]	Loss: 0.1413	LR: 0.051152
Training Epoch: 1 [28928/55500]	Loss: 0.1035	LR: 0.051613
Training Epoch: 1 [29184/55500]	Loss: 0.1252	LR: 0.052074
Training Epoch: 1 [29440/55500]	Loss: 0.0795	LR: 0.052535
Training Epoch: 1 [29696/55500]	Loss: 0.1338	LR: 0.052995
Training Epoch: 1 [29952/55500]	Loss: 0.1769	LR: 0.053456
Training Epoch: 1 [30208/55500]	Loss: 0.0959	LR: 0.053917
Training Epoch: 1 [30464/55500]	Loss: 0.0687	LR: 0.054378
Training Epoch: 1 [30720/55500]	Loss: 0.1087	LR: 0.054839
Training Epoch: 1 [30976/55500]	Loss: 0.1189	LR: 0.055300
Training Epoch: 1 [31232/55500]	Loss: 0.1431	LR: 0.055760
Training Epoch: 1 [31488/55500]	Loss: 0.0904	LR: 0.056221
Training Epoch: 1 [31744/55500]	Loss: 0.1403	LR: 0.056682
Training Epoch: 1 [32000/55500]	Loss: 0.1342	LR: 0.057143
Training Epoch: 1 [32256/55500]	Loss: 0.1634	LR: 0.057604
Training Epoch: 1 [32512/55500]	Loss: 0.1017	LR: 0.058065
Training Epoch: 1 [32768/55500]	Loss: 0.0975	LR: 0.058525
Training Epoch: 1 [33024/55500]	Loss: 0.1201	LR: 0.058986
Training Epoch: 1 [33280/55500]	Loss: 0.0683	LR: 0.059447
Training Epoch: 1 [33536/55500]	Loss: 0.0908	LR: 0.059908
Training Epoch: 1 [33792/55500]	Loss: 0.1185	LR: 0.060369
Training Epoch: 1 [34048/55500]	Loss: 0.1097	LR: 0.060829
Training Epoch: 1 [34304/55500]	Loss: 0.1195	LR: 0.061290
Training Epoch: 1 [34560/55500]	Loss: 0.0640	LR: 0.061751
Training Epoch: 1 [34816/55500]	Loss: 0.0840	LR: 0.062212
Training Epoch: 1 [35072/55500]	Loss: 0.0928	LR: 0.062673
Training Epoch: 1 [35328/55500]	Loss: 0.0848	LR: 0.063134
Training Epoch: 1 [35584/55500]	Loss: 0.1227	LR: 0.063594
Training Epoch: 1 [35840/55500]	Loss: 0.0840	LR: 0.064055
Training Epoch: 1 [36096/55500]	Loss: 0.1008	LR: 0.064516
Training Epoch: 1 [36352/55500]	Loss: 0.0699	LR: 0.064977
Training Epoch: 1 [36608/55500]	Loss: 0.0637	LR: 0.065438
Training Epoch: 1 [36864/55500]	Loss: 0.0849	LR: 0.065899
Training Epoch: 1 [37120/55500]	Loss: 0.0942	LR: 0.066359
Training Epoch: 1 [37376/55500]	Loss: 0.1189	LR: 0.066820
Training Epoch: 1 [37632/55500]	Loss: 0.0716	LR: 0.067281
Training Epoch: 1 [37888/55500]	Loss: 0.1025	LR: 0.067742
Training Epoch: 1 [38144/55500]	Loss: 0.0904	LR: 0.068203
Training Epoch: 1 [38400/55500]	Loss: 0.1148	LR: 0.068664
Training Epoch: 1 [38656/55500]	Loss: 0.1292	LR: 0.069124
Training Epoch: 1 [38912/55500]	Loss: 0.1239	LR: 0.069585
Training Epoch: 1 [39168/55500]	Loss: 0.1117	LR: 0.070046
Training Epoch: 1 [39424/55500]	Loss: 0.1043	LR: 0.070507
Training Epoch: 1 [39680/55500]	Loss: 0.0910	LR: 0.070968
Training Epoch: 1 [39936/55500]	Loss: 0.1134	LR: 0.071429
Training Epoch: 1 [40192/55500]	Loss: 0.1243	LR: 0.071889
Training Epoch: 1 [40448/55500]	Loss: 0.0966	LR: 0.072350
Training Epoch: 1 [40704/55500]	Loss: 0.0913	LR: 0.072811
Training Epoch: 1 [40960/55500]	Loss: 0.1028	LR: 0.073272
Training Epoch: 1 [41216/55500]	Loss: 0.0990	LR: 0.073733
Training Epoch: 1 [41472/55500]	Loss: 0.1086	LR: 0.074194
Training Epoch: 1 [41728/55500]	Loss: 0.0623	LR: 0.074654
Training Epoch: 1 [41984/55500]	Loss: 0.0733	LR: 0.075115
Training Epoch: 1 [42240/55500]	Loss: 0.1158	LR: 0.075576
Training Epoch: 1 [42496/55500]	Loss: 0.0996	LR: 0.076037
Training Epoch: 1 [42752/55500]	Loss: 0.0914	LR: 0.076498
Training Epoch: 1 [43008/55500]	Loss: 0.0969	LR: 0.076959
Training Epoch: 1 [43264/55500]	Loss: 0.1263	LR: 0.077419
Training Epoch: 1 [43520/55500]	Loss: 0.0401	LR: 0.077880
Training Epoch: 1 [43776/55500]	Loss: 0.0495	LR: 0.078341
Training Epoch: 1 [44032/55500]	Loss: 0.1117	LR: 0.078802
Training Epoch: 1 [44288/55500]	Loss: 0.0920	LR: 0.079263
Training Epoch: 1 [44544/55500]	Loss: 0.0836	LR: 0.079724
Training Epoch: 1 [44800/55500]	Loss: 0.0945	LR: 0.080184
Training Epoch: 1 [45056/55500]	Loss: 0.0923	LR: 0.080645
Training Epoch: 1 [45312/55500]	Loss: 0.0716	LR: 0.081106
Training Epoch: 1 [45568/55500]	Loss: 0.0738	LR: 0.081567
Training Epoch: 1 [45824/55500]	Loss: 0.0887	LR: 0.082028
Training Epoch: 1 [46080/55500]	Loss: 0.0557	LR: 0.082488
Training Epoch: 1 [46336/55500]	Loss: 0.0704	LR: 0.082949
Training Epoch: 1 [46592/55500]	Loss: 0.1235	LR: 0.083410
Training Epoch: 1 [46848/55500]	Loss: 0.0609	LR: 0.083871
Training Epoch: 1 [47104/55500]	Loss: 0.0553	LR: 0.084332
Training Epoch: 1 [47360/55500]	Loss: 0.0946	LR: 0.084793
Training Epoch: 1 [47616/55500]	Loss: 0.0513	LR: 0.085253
Training Epoch: 1 [47872/55500]	Loss: 0.0612	LR: 0.085714
Training Epoch: 1 [48128/55500]	Loss: 0.0529	LR: 0.086175
Training Epoch: 1 [48384/55500]	Loss: 0.0822	LR: 0.086636
Training Epoch: 1 [48640/55500]	Loss: 0.0986	LR: 0.087097
Training Epoch: 1 [48896/55500]	Loss: 0.0507	LR: 0.087558
Training Epoch: 1 [49152/55500]	Loss: 0.0640	LR: 0.088018
Training Epoch: 1 [49408/55500]	Loss: 0.1593	LR: 0.088479
Training Epoch: 1 [49664/55500]	Loss: 0.0622	LR: 0.088940
Training Epoch: 1 [49920/55500]	Loss: 0.0982	LR: 0.089401
Training Epoch: 1 [50176/55500]	Loss: 0.0594	LR: 0.089862
Training Epoch: 1 [50432/55500]	Loss: 0.0849	LR: 0.090323
Training Epoch: 1 [50688/55500]	Loss: 0.1171	LR: 0.090783
Training Epoch: 1 [50944/55500]	Loss: 0.0664	LR: 0.091244
Training Epoch: 1 [51200/55500]	Loss: 0.0768	LR: 0.091705
Training Epoch: 1 [51456/55500]	Loss: 0.0920	LR: 0.092166
Training Epoch: 1 [51712/55500]	Loss: 0.0735	LR: 0.092627
Training Epoch: 1 [51968/55500]	Loss: 0.0982	LR: 0.093088
Training Epoch: 1 [52224/55500]	Loss: 0.0818	LR: 0.093548
Training Epoch: 1 [52480/55500]	Loss: 0.0822	LR: 0.094009
Training Epoch: 1 [52736/55500]	Loss: 0.0958	LR: 0.094470
Training Epoch: 1 [52992/55500]	Loss: 0.0629	LR: 0.094931
Training Epoch: 1 [53248/55500]	Loss: 0.0908	LR: 0.095392
Training Epoch: 1 [53504/55500]	Loss: 0.0548	LR: 0.095853
Training Epoch: 1 [53760/55500]	Loss: 0.1413	LR: 0.096313
Training Epoch: 1 [54016/55500]	Loss: 0.0672	LR: 0.096774
Training Epoch: 1 [54272/55500]	Loss: 0.0551	LR: 0.097235
Training Epoch: 1 [54528/55500]	Loss: 0.0960	LR: 0.097696
Training Epoch: 1 [54784/55500]	Loss: 0.0529	LR: 0.098157
Training Epoch: 1 [55040/55500]	Loss: 0.0787	LR: 0.098618
Training Epoch: 1 [55296/55500]	Loss: 0.0339	LR: 0.099078
Training Epoch: 1 [55500/55500]	Loss: 0.0506	LR: 0.099539
Epoch 1 - Average Train Loss: 0.5243, Train Accuracy: 0.8488
Epoch 1 training time consumed: 39.96s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0020, Accuracy: 0.8449, Time consumed:1.76s
Saving weights file to checkpoint/retrain/AllCNN/Wednesday_23_July_2025_07h_11m_38s/AllCNN-Mnist-seed10-ret25-1-best.pth
Training Epoch: 2 [256/55500]	Loss: 0.0505	LR: 0.020000
Training Epoch: 2 [512/55500]	Loss: 0.0760	LR: 0.020000
Training Epoch: 2 [768/55500]	Loss: 0.0422	LR: 0.020000
Training Epoch: 2 [1024/55500]	Loss: 0.0584	LR: 0.020000
Training Epoch: 2 [1280/55500]	Loss: 0.0612	LR: 0.020000
Training Epoch: 2 [1536/55500]	Loss: 0.0678	LR: 0.020000
Training Epoch: 2 [1792/55500]	Loss: 0.0566	LR: 0.020000
Training Epoch: 2 [2048/55500]	Loss: 0.0378	LR: 0.020000
Training Epoch: 2 [2304/55500]	Loss: 0.0228	LR: 0.020000
Training Epoch: 2 [2560/55500]	Loss: 0.0869	LR: 0.020000
Training Epoch: 2 [2816/55500]	Loss: 0.0512	LR: 0.020000
Training Epoch: 2 [3072/55500]	Loss: 0.0506	LR: 0.020000
Training Epoch: 2 [3328/55500]	Loss: 0.0809	LR: 0.020000
Training Epoch: 2 [3584/55500]	Loss: 0.0718	LR: 0.020000
Training Epoch: 2 [3840/55500]	Loss: 0.0654	LR: 0.020000
Training Epoch: 2 [4096/55500]	Loss: 0.0388	LR: 0.020000
Training Epoch: 2 [4352/55500]	Loss: 0.0531	LR: 0.020000
Training Epoch: 2 [4608/55500]	Loss: 0.0523	LR: 0.020000
Training Epoch: 2 [4864/55500]	Loss: 0.0629	LR: 0.020000
Training Epoch: 2 [5120/55500]	Loss: 0.0260	LR: 0.020000
Training Epoch: 2 [5376/55500]	Loss: 0.0594	LR: 0.020000
Training Epoch: 2 [5632/55500]	Loss: 0.0886	LR: 0.020000
Training Epoch: 2 [5888/55500]	Loss: 0.0380	LR: 0.020000
Training Epoch: 2 [6144/55500]	Loss: 0.0481	LR: 0.020000
Training Epoch: 2 [6400/55500]	Loss: 0.0403	LR: 0.020000
Training Epoch: 2 [6656/55500]	Loss: 0.0323	LR: 0.020000
Training Epoch: 2 [6912/55500]	Loss: 0.0565	LR: 0.020000
Training Epoch: 2 [7168/55500]	Loss: 0.0306	LR: 0.020000
Training Epoch: 2 [7424/55500]	Loss: 0.0576	LR: 0.020000
Training Epoch: 2 [7680/55500]	Loss: 0.0835	LR: 0.020000
Training Epoch: 2 [7936/55500]	Loss: 0.0687	LR: 0.020000
Training Epoch: 2 [8192/55500]	Loss: 0.0408	LR: 0.020000
Training Epoch: 2 [8448/55500]	Loss: 0.0661	LR: 0.020000
Training Epoch: 2 [8704/55500]	Loss: 0.0258	LR: 0.020000
Training Epoch: 2 [8960/55500]	Loss: 0.0294	LR: 0.020000
Training Epoch: 2 [9216/55500]	Loss: 0.0315	LR: 0.020000
Training Epoch: 2 [9472/55500]	Loss: 0.0419	LR: 0.020000
Training Epoch: 2 [9728/55500]	Loss: 0.0454	LR: 0.020000
Training Epoch: 2 [9984/55500]	Loss: 0.0361	LR: 0.020000
Training Epoch: 2 [10240/55500]	Loss: 0.0562	LR: 0.020000
Training Epoch: 2 [10496/55500]	Loss: 0.0523	LR: 0.020000
Training Epoch: 2 [10752/55500]	Loss: 0.0465	LR: 0.020000
Training Epoch: 2 [11008/55500]	Loss: 0.0223	LR: 0.020000
Training Epoch: 2 [11264/55500]	Loss: 0.0814	LR: 0.020000
Training Epoch: 2 [11520/55500]	Loss: 0.0343	LR: 0.020000
Training Epoch: 2 [11776/55500]	Loss: 0.0282	LR: 0.020000
Training Epoch: 2 [12032/55500]	Loss: 0.0243	LR: 0.020000
Training Epoch: 2 [12288/55500]	Loss: 0.0417	LR: 0.020000
Training Epoch: 2 [12544/55500]	Loss: 0.0319	LR: 0.020000
Training Epoch: 2 [12800/55500]	Loss: 0.0776	LR: 0.020000
Training Epoch: 2 [13056/55500]	Loss: 0.0456	LR: 0.020000
Training Epoch: 2 [13312/55500]	Loss: 0.0567	LR: 0.020000
Training Epoch: 2 [13568/55500]	Loss: 0.0278	LR: 0.020000
Training Epoch: 2 [13824/55500]	Loss: 0.0287	LR: 0.020000
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Training Epoch: 2 [48896/55500]	Loss: 0.0250	LR: 0.020000
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Training Epoch: 2 [49408/55500]	Loss: 0.0210	LR: 0.020000
Training Epoch: 2 [49664/55500]	Loss: 0.0242	LR: 0.020000
Training Epoch: 2 [49920/55500]	Loss: 0.0642	LR: 0.020000
Training Epoch: 2 [50176/55500]	Loss: 0.0132	LR: 0.020000
Training Epoch: 2 [50432/55500]	Loss: 0.0336	LR: 0.020000
Training Epoch: 2 [50688/55500]	Loss: 0.0265	LR: 0.020000
Training Epoch: 2 [50944/55500]	Loss: 0.0139	LR: 0.020000
Training Epoch: 2 [51200/55500]	Loss: 0.0480	LR: 0.020000
Training Epoch: 2 [51456/55500]	Loss: 0.0287	LR: 0.020000
Training Epoch: 2 [51712/55500]	Loss: 0.0336	LR: 0.020000
Training Epoch: 2 [51968/55500]	Loss: 0.0240	LR: 0.020000
Training Epoch: 2 [52224/55500]	Loss: 0.0272	LR: 0.020000
Training Epoch: 2 [52480/55500]	Loss: 0.0366	LR: 0.020000
Training Epoch: 2 [52736/55500]	Loss: 0.0611	LR: 0.020000
Training Epoch: 2 [52992/55500]	Loss: 0.0099	LR: 0.020000
Training Epoch: 2 [53248/55500]	Loss: 0.0328	LR: 0.020000
Training Epoch: 2 [53504/55500]	Loss: 0.0273	LR: 0.020000
Training Epoch: 2 [53760/55500]	Loss: 0.0475	LR: 0.020000
Training Epoch: 2 [54016/55500]	Loss: 0.0238	LR: 0.020000
Training Epoch: 2 [54272/55500]	Loss: 0.0562	LR: 0.020000
Training Epoch: 2 [54528/55500]	Loss: 0.0692	LR: 0.020000
Training Epoch: 2 [54784/55500]	Loss: 0.0318	LR: 0.020000
Training Epoch: 2 [55040/55500]	Loss: 0.0327	LR: 0.020000
Training Epoch: 2 [55296/55500]	Loss: 0.0142	LR: 0.020000
Training Epoch: 2 [55500/55500]	Loss: 0.0348	LR: 0.020000
Epoch 2 - Average Train Loss: 0.0393, Train Accuracy: 0.9889
Epoch 2 training time consumed: 39.36s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0001, Accuracy: 0.9941, Time consumed:1.68s
Saving weights file to checkpoint/retrain/AllCNN/Wednesday_23_July_2025_07h_11m_38s/AllCNN-Mnist-seed10-ret25-2-best.pth
Training Epoch: 3 [256/55500]	Loss: 0.0174	LR: 0.004000
Training Epoch: 3 [512/55500]	Loss: 0.0230	LR: 0.004000
Training Epoch: 3 [768/55500]	Loss: 0.0307	LR: 0.004000
Training Epoch: 3 [1024/55500]	Loss: 0.0180	LR: 0.004000
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Training Epoch: 3 [1536/55500]	Loss: 0.0184	LR: 0.004000
Training Epoch: 3 [1792/55500]	Loss: 0.0150	LR: 0.004000
Training Epoch: 3 [2048/55500]	Loss: 0.0295	LR: 0.004000
Training Epoch: 3 [2304/55500]	Loss: 0.0130	LR: 0.004000
Training Epoch: 3 [2560/55500]	Loss: 0.0185	LR: 0.004000
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Training Epoch: 3 [3072/55500]	Loss: 0.0363	LR: 0.004000
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Training Epoch: 3 [31232/55500]	Loss: 0.0478	LR: 0.004000
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Training Epoch: 3 [48128/55500]	Loss: 0.0143	LR: 0.004000
Training Epoch: 3 [48384/55500]	Loss: 0.0192	LR: 0.004000
Training Epoch: 3 [48640/55500]	Loss: 0.0281	LR: 0.004000
Training Epoch: 3 [48896/55500]	Loss: 0.0222	LR: 0.004000
Training Epoch: 3 [49152/55500]	Loss: 0.0279	LR: 0.004000
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Training Epoch: 3 [49920/55500]	Loss: 0.0390	LR: 0.004000
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Training Epoch: 3 [50688/55500]	Loss: 0.0344	LR: 0.004000
Training Epoch: 3 [50944/55500]	Loss: 0.0461	LR: 0.004000
Training Epoch: 3 [51200/55500]	Loss: 0.0140	LR: 0.004000
Training Epoch: 3 [51456/55500]	Loss: 0.0215	LR: 0.004000
Training Epoch: 3 [51712/55500]	Loss: 0.0281	LR: 0.004000
Training Epoch: 3 [51968/55500]	Loss: 0.0246	LR: 0.004000
Training Epoch: 3 [52224/55500]	Loss: 0.0198	LR: 0.004000
Training Epoch: 3 [52480/55500]	Loss: 0.0309	LR: 0.004000
Training Epoch: 3 [52736/55500]	Loss: 0.0328	LR: 0.004000
Training Epoch: 3 [52992/55500]	Loss: 0.0164	LR: 0.004000
Training Epoch: 3 [53248/55500]	Loss: 0.0151	LR: 0.004000
Training Epoch: 3 [53504/55500]	Loss: 0.0188	LR: 0.004000
Training Epoch: 3 [53760/55500]	Loss: 0.0225	LR: 0.004000
Training Epoch: 3 [54016/55500]	Loss: 0.0165	LR: 0.004000
Training Epoch: 3 [54272/55500]	Loss: 0.0251	LR: 0.004000
Training Epoch: 3 [54528/55500]	Loss: 0.0353	LR: 0.004000
Training Epoch: 3 [54784/55500]	Loss: 0.0321	LR: 0.004000
Training Epoch: 3 [55040/55500]	Loss: 0.0395	LR: 0.004000
Training Epoch: 3 [55296/55500]	Loss: 0.0372	LR: 0.004000
Training Epoch: 3 [55500/55500]	Loss: 0.0286	LR: 0.004000
Epoch 3 - Average Train Loss: 0.0260, Train Accuracy: 0.9926
Epoch 3 training time consumed: 39.22s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0001, Accuracy: 0.9951, Time consumed:1.67s
Saving weights file to checkpoint/retrain/AllCNN/Wednesday_23_July_2025_07h_11m_38s/AllCNN-Mnist-seed10-ret25-3-best.pth
Training Epoch: 4 [256/55500]	Loss: 0.0181	LR: 0.000800
Training Epoch: 4 [512/55500]	Loss: 0.0142	LR: 0.000800
Training Epoch: 4 [768/55500]	Loss: 0.0117	LR: 0.000800
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Training Epoch: 4 [1280/55500]	Loss: 0.0143	LR: 0.000800
Training Epoch: 4 [1536/55500]	Loss: 0.0332	LR: 0.000800
Training Epoch: 4 [1792/55500]	Loss: 0.0314	LR: 0.000800
Training Epoch: 4 [2048/55500]	Loss: 0.0142	LR: 0.000800
Training Epoch: 4 [2304/55500]	Loss: 0.0249	LR: 0.000800
Training Epoch: 4 [2560/55500]	Loss: 0.0343	LR: 0.000800
Training Epoch: 4 [2816/55500]	Loss: 0.0179	LR: 0.000800
Training Epoch: 4 [3072/55500]	Loss: 0.0371	LR: 0.000800
Training Epoch: 4 [3328/55500]	Loss: 0.0272	LR: 0.000800
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Training Epoch: 4 [3840/55500]	Loss: 0.0318	LR: 0.000800
Training Epoch: 4 [4096/55500]	Loss: 0.0359	LR: 0.000800
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Training Epoch: 4 [5888/55500]	Loss: 0.0256	LR: 0.000800
Training Epoch: 4 [6144/55500]	Loss: 0.0428	LR: 0.000800
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Training Epoch: 4 [6656/55500]	Loss: 0.0187	LR: 0.000800
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Training Epoch: 4 [9984/55500]	Loss: 0.0224	LR: 0.000800
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Training Epoch: 4 [11008/55500]	Loss: 0.0093	LR: 0.000800
Training Epoch: 4 [11264/55500]	Loss: 0.0269	LR: 0.000800
Training Epoch: 4 [11520/55500]	Loss: 0.0185	LR: 0.000800
Training Epoch: 4 [11776/55500]	Loss: 0.0324	LR: 0.000800
Training Epoch: 4 [12032/55500]	Loss: 0.0227	LR: 0.000800
Training Epoch: 4 [12288/55500]	Loss: 0.0272	LR: 0.000800
Training Epoch: 4 [12544/55500]	Loss: 0.0231	LR: 0.000800
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Training Epoch: 4 [13824/55500]	Loss: 0.0284	LR: 0.000800
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Training Epoch: 4 [14336/55500]	Loss: 0.0187	LR: 0.000800
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Training Epoch: 4 [17408/55500]	Loss: 0.0255	LR: 0.000800
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Training Epoch: 4 [28160/55500]	Loss: 0.0303	LR: 0.000800
Training Epoch: 4 [28416/55500]	Loss: 0.0403	LR: 0.000800
Training Epoch: 4 [28672/55500]	Loss: 0.0225	LR: 0.000800
Training Epoch: 4 [28928/55500]	Loss: 0.0552	LR: 0.000800
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Training Epoch: 4 [32000/55500]	Loss: 0.0191	LR: 0.000800
Training Epoch: 4 [32256/55500]	Loss: 0.0226	LR: 0.000800
Training Epoch: 4 [32512/55500]	Loss: 0.0188	LR: 0.000800
Training Epoch: 4 [32768/55500]	Loss: 0.0091	LR: 0.000800
Training Epoch: 4 [33024/55500]	Loss: 0.0308	LR: 0.000800
Training Epoch: 4 [33280/55500]	Loss: 0.0146	LR: 0.000800
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Training Epoch: 4 [34560/55500]	Loss: 0.0362	LR: 0.000800
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Training Epoch: 4 [36096/55500]	Loss: 0.0395	LR: 0.000800
Training Epoch: 4 [36352/55500]	Loss: 0.0306	LR: 0.000800
Training Epoch: 4 [36608/55500]	Loss: 0.0185	LR: 0.000800
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Training Epoch: 4 [37376/55500]	Loss: 0.0181	LR: 0.000800
Training Epoch: 4 [37632/55500]	Loss: 0.0178	LR: 0.000800
Training Epoch: 4 [37888/55500]	Loss: 0.0395	LR: 0.000800
Training Epoch: 4 [38144/55500]	Loss: 0.0269	LR: 0.000800
Training Epoch: 4 [38400/55500]	Loss: 0.0181	LR: 0.000800
Training Epoch: 4 [38656/55500]	Loss: 0.0260	LR: 0.000800
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Training Epoch: 4 [40192/55500]	Loss: 0.0214	LR: 0.000800
Training Epoch: 4 [40448/55500]	Loss: 0.0256	LR: 0.000800
Training Epoch: 4 [40704/55500]	Loss: 0.0226	LR: 0.000800
Training Epoch: 4 [40960/55500]	Loss: 0.0590	LR: 0.000800
Training Epoch: 4 [41216/55500]	Loss: 0.0382	LR: 0.000800
Training Epoch: 4 [41472/55500]	Loss: 0.0142	LR: 0.000800
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Training Epoch: 4 [43264/55500]	Loss: 0.0128	LR: 0.000800
Training Epoch: 4 [43520/55500]	Loss: 0.0242	LR: 0.000800
Training Epoch: 4 [43776/55500]	Loss: 0.0357	LR: 0.000800
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Training Epoch: 4 [46336/55500]	Loss: 0.0085	LR: 0.000800
Training Epoch: 4 [46592/55500]	Loss: 0.0196	LR: 0.000800
Training Epoch: 4 [46848/55500]	Loss: 0.0461	LR: 0.000800
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Training Epoch: 4 [48128/55500]	Loss: 0.0168	LR: 0.000800
Training Epoch: 4 [48384/55500]	Loss: 0.0379	LR: 0.000800
Training Epoch: 4 [48640/55500]	Loss: 0.0222	LR: 0.000800
Training Epoch: 4 [48896/55500]	Loss: 0.0200	LR: 0.000800
Training Epoch: 4 [49152/55500]	Loss: 0.0240	LR: 0.000800
Training Epoch: 4 [49408/55500]	Loss: 0.0255	LR: 0.000800
Training Epoch: 4 [49664/55500]	Loss: 0.0120	LR: 0.000800
Training Epoch: 4 [49920/55500]	Loss: 0.0217	LR: 0.000800
Training Epoch: 4 [50176/55500]	Loss: 0.0262	LR: 0.000800
Training Epoch: 4 [50432/55500]	Loss: 0.0125	LR: 0.000800
Training Epoch: 4 [50688/55500]	Loss: 0.0339	LR: 0.000800
Training Epoch: 4 [50944/55500]	Loss: 0.0168	LR: 0.000800
Training Epoch: 4 [51200/55500]	Loss: 0.0200	LR: 0.000800
Training Epoch: 4 [51456/55500]	Loss: 0.0271	LR: 0.000800
Training Epoch: 4 [51712/55500]	Loss: 0.0177	LR: 0.000800
Training Epoch: 4 [51968/55500]	Loss: 0.0248	LR: 0.000800
Training Epoch: 4 [52224/55500]	Loss: 0.0164	LR: 0.000800
Training Epoch: 4 [52480/55500]	Loss: 0.0108	LR: 0.000800
Training Epoch: 4 [52736/55500]	Loss: 0.0066	LR: 0.000800
Training Epoch: 4 [52992/55500]	Loss: 0.0118	LR: 0.000800
Training Epoch: 4 [53248/55500]	Loss: 0.0258	LR: 0.000800
Training Epoch: 4 [53504/55500]	Loss: 0.0166	LR: 0.000800
Training Epoch: 4 [53760/55500]	Loss: 0.0347	LR: 0.000800
Training Epoch: 4 [54016/55500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 4 [54272/55500]	Loss: 0.0196	LR: 0.000800
Training Epoch: 4 [54528/55500]	Loss: 0.0250	LR: 0.000800
Training Epoch: 4 [54784/55500]	Loss: 0.0252	LR: 0.000800
Training Epoch: 4 [55040/55500]	Loss: 0.0132	LR: 0.000800
Training Epoch: 4 [55296/55500]	Loss: 0.0325	LR: 0.000800
Training Epoch: 4 [55500/55500]	Loss: 0.0254	LR: 0.000800
Epoch 4 - Average Train Loss: 0.0239, Train Accuracy: 0.9937
Epoch 4 training time consumed: 39.37s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0001, Accuracy: 0.9952, Time consumed:1.69s
Saving weights file to checkpoint/retrain/AllCNN/Wednesday_23_July_2025_07h_11m_38s/AllCNN-Mnist-seed10-ret25-4-best.pth
Training Epoch: 5 [256/55500]	Loss: 0.0177	LR: 0.000800
Training Epoch: 5 [512/55500]	Loss: 0.0152	LR: 0.000800
Training Epoch: 5 [768/55500]	Loss: 0.0395	LR: 0.000800
Training Epoch: 5 [1024/55500]	Loss: 0.0217	LR: 0.000800
Training Epoch: 5 [1280/55500]	Loss: 0.0237	LR: 0.000800
Training Epoch: 5 [1536/55500]	Loss: 0.0158	LR: 0.000800
Training Epoch: 5 [1792/55500]	Loss: 0.0152	LR: 0.000800
Training Epoch: 5 [2048/55500]	Loss: 0.0290	LR: 0.000800
Training Epoch: 5 [2304/55500]	Loss: 0.0263	LR: 0.000800
Training Epoch: 5 [2560/55500]	Loss: 0.0300	LR: 0.000800
Training Epoch: 5 [2816/55500]	Loss: 0.0176	LR: 0.000800
Training Epoch: 5 [3072/55500]	Loss: 0.0133	LR: 0.000800
Training Epoch: 5 [3328/55500]	Loss: 0.0254	LR: 0.000800
Training Epoch: 5 [3584/55500]	Loss: 0.0096	LR: 0.000800
Training Epoch: 5 [3840/55500]	Loss: 0.0393	LR: 0.000800
Training Epoch: 5 [4096/55500]	Loss: 0.0175	LR: 0.000800
Training Epoch: 5 [4352/55500]	Loss: 0.0259	LR: 0.000800
Training Epoch: 5 [4608/55500]	Loss: 0.0249	LR: 0.000800
Training Epoch: 5 [4864/55500]	Loss: 0.0101	LR: 0.000800
Training Epoch: 5 [5120/55500]	Loss: 0.0650	LR: 0.000800
Training Epoch: 5 [5376/55500]	Loss: 0.0214	LR: 0.000800
Training Epoch: 5 [5632/55500]	Loss: 0.0146	LR: 0.000800
Training Epoch: 5 [5888/55500]	Loss: 0.0231	LR: 0.000800
Training Epoch: 5 [6144/55500]	Loss: 0.0126	LR: 0.000800
Training Epoch: 5 [6400/55500]	Loss: 0.0175	LR: 0.000800
Training Epoch: 5 [6656/55500]	Loss: 0.0189	LR: 0.000800
Training Epoch: 5 [6912/55500]	Loss: 0.0247	LR: 0.000800
Training Epoch: 5 [7168/55500]	Loss: 0.0425	LR: 0.000800
Training Epoch: 5 [7424/55500]	Loss: 0.0248	LR: 0.000800
Training Epoch: 5 [7680/55500]	Loss: 0.0407	LR: 0.000800
Training Epoch: 5 [7936/55500]	Loss: 0.0400	LR: 0.000800
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Training Epoch: 5 [8704/55500]	Loss: 0.0085	LR: 0.000800
Training Epoch: 5 [8960/55500]	Loss: 0.0191	LR: 0.000800
Training Epoch: 5 [9216/55500]	Loss: 0.0336	LR: 0.000800
Training Epoch: 5 [9472/55500]	Loss: 0.0058	LR: 0.000800
Training Epoch: 5 [9728/55500]	Loss: 0.0089	LR: 0.000800
Training Epoch: 5 [9984/55500]	Loss: 0.0228	LR: 0.000800
Training Epoch: 5 [10240/55500]	Loss: 0.0120	LR: 0.000800
Training Epoch: 5 [10496/55500]	Loss: 0.0279	LR: 0.000800
Training Epoch: 5 [10752/55500]	Loss: 0.0278	LR: 0.000800
Training Epoch: 5 [11008/55500]	Loss: 0.0258	LR: 0.000800
Training Epoch: 5 [11264/55500]	Loss: 0.0123	LR: 0.000800
Training Epoch: 5 [11520/55500]	Loss: 0.0240	LR: 0.000800
Training Epoch: 5 [11776/55500]	Loss: 0.0368	LR: 0.000800
Training Epoch: 5 [12032/55500]	Loss: 0.0263	LR: 0.000800
Training Epoch: 5 [12288/55500]	Loss: 0.0254	LR: 0.000800
Training Epoch: 5 [12544/55500]	Loss: 0.0364	LR: 0.000800
Training Epoch: 5 [12800/55500]	Loss: 0.0195	LR: 0.000800
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Training Epoch: 5 [13312/55500]	Loss: 0.0234	LR: 0.000800
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Training Epoch: 5 [15104/55500]	Loss: 0.0260	LR: 0.000800
Training Epoch: 5 [15360/55500]	Loss: 0.0228	LR: 0.000800
Training Epoch: 5 [15616/55500]	Loss: 0.0325	LR: 0.000800
Training Epoch: 5 [15872/55500]	Loss: 0.0285	LR: 0.000800
Training Epoch: 5 [16128/55500]	Loss: 0.0460	LR: 0.000800
Training Epoch: 5 [16384/55500]	Loss: 0.0384	LR: 0.000800
Training Epoch: 5 [16640/55500]	Loss: 0.0103	LR: 0.000800
Training Epoch: 5 [16896/55500]	Loss: 0.0319	LR: 0.000800
Training Epoch: 5 [17152/55500]	Loss: 0.0192	LR: 0.000800
Training Epoch: 5 [17408/55500]	Loss: 0.0195	LR: 0.000800
Training Epoch: 5 [17664/55500]	Loss: 0.0138	LR: 0.000800
Training Epoch: 5 [17920/55500]	Loss: 0.0196	LR: 0.000800
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Training Epoch: 5 [18432/55500]	Loss: 0.0204	LR: 0.000800
Training Epoch: 5 [18688/55500]	Loss: 0.0354	LR: 0.000800
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Training Epoch: 5 [19200/55500]	Loss: 0.0226	LR: 0.000800
Training Epoch: 5 [19456/55500]	Loss: 0.0187	LR: 0.000800
Training Epoch: 5 [19712/55500]	Loss: 0.0172	LR: 0.000800
Training Epoch: 5 [19968/55500]	Loss: 0.0269	LR: 0.000800
Training Epoch: 5 [20224/55500]	Loss: 0.0233	LR: 0.000800
Training Epoch: 5 [20480/55500]	Loss: 0.0324	LR: 0.000800
Training Epoch: 5 [20736/55500]	Loss: 0.0145	LR: 0.000800
Training Epoch: 5 [20992/55500]	Loss: 0.0187	LR: 0.000800
Training Epoch: 5 [21248/55500]	Loss: 0.0192	LR: 0.000800
Training Epoch: 5 [21504/55500]	Loss: 0.0348	LR: 0.000800
Training Epoch: 5 [21760/55500]	Loss: 0.0440	LR: 0.000800
Training Epoch: 5 [22016/55500]	Loss: 0.0242	LR: 0.000800
Training Epoch: 5 [22272/55500]	Loss: 0.0143	LR: 0.000800
Training Epoch: 5 [22528/55500]	Loss: 0.0262	LR: 0.000800
Training Epoch: 5 [22784/55500]	Loss: 0.0413	LR: 0.000800
Training Epoch: 5 [23040/55500]	Loss: 0.0232	LR: 0.000800
Training Epoch: 5 [23296/55500]	Loss: 0.0230	LR: 0.000800
Training Epoch: 5 [23552/55500]	Loss: 0.0161	LR: 0.000800
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Training Epoch: 5 [24832/55500]	Loss: 0.0278	LR: 0.000800
Training Epoch: 5 [25088/55500]	Loss: 0.0273	LR: 0.000800
Training Epoch: 5 [25344/55500]	Loss: 0.0201	LR: 0.000800
Training Epoch: 5 [25600/55500]	Loss: 0.0165	LR: 0.000800
Training Epoch: 5 [25856/55500]	Loss: 0.0348	LR: 0.000800
Training Epoch: 5 [26112/55500]	Loss: 0.0128	LR: 0.000800
Training Epoch: 5 [26368/55500]	Loss: 0.0146	LR: 0.000800
Training Epoch: 5 [26624/55500]	Loss: 0.0314	LR: 0.000800
Training Epoch: 5 [26880/55500]	Loss: 0.0068	LR: 0.000800
Training Epoch: 5 [27136/55500]	Loss: 0.0402	LR: 0.000800
Training Epoch: 5 [27392/55500]	Loss: 0.0313	LR: 0.000800
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Training Epoch: 5 [27904/55500]	Loss: 0.0201	LR: 0.000800
Training Epoch: 5 [28160/55500]	Loss: 0.0260	LR: 0.000800
Training Epoch: 5 [28416/55500]	Loss: 0.0472	LR: 0.000800
Training Epoch: 5 [28672/55500]	Loss: 0.0252	LR: 0.000800
Training Epoch: 5 [28928/55500]	Loss: 0.0238	LR: 0.000800
Training Epoch: 5 [29184/55500]	Loss: 0.0101	LR: 0.000800
Training Epoch: 5 [29440/55500]	Loss: 0.0194	LR: 0.000800
Training Epoch: 5 [29696/55500]	Loss: 0.0353	LR: 0.000800
Training Epoch: 5 [29952/55500]	Loss: 0.0105	LR: 0.000800
Training Epoch: 5 [30208/55500]	Loss: 0.0334	LR: 0.000800
Training Epoch: 5 [30464/55500]	Loss: 0.0255	LR: 0.000800
Training Epoch: 5 [30720/55500]	Loss: 0.0308	LR: 0.000800
Training Epoch: 5 [30976/55500]	Loss: 0.0330	LR: 0.000800
Training Epoch: 5 [31232/55500]	Loss: 0.0298	LR: 0.000800
Training Epoch: 5 [31488/55500]	Loss: 0.0168	LR: 0.000800
Training Epoch: 5 [31744/55500]	Loss: 0.0170	LR: 0.000800
Training Epoch: 5 [32000/55500]	Loss: 0.0446	LR: 0.000800
Training Epoch: 5 [32256/55500]	Loss: 0.0192	LR: 0.000800
Training Epoch: 5 [32512/55500]	Loss: 0.0543	LR: 0.000800
Training Epoch: 5 [32768/55500]	Loss: 0.0134	LR: 0.000800
Training Epoch: 5 [33024/55500]	Loss: 0.0198	LR: 0.000800
Training Epoch: 5 [33280/55500]	Loss: 0.0167	LR: 0.000800
Training Epoch: 5 [33536/55500]	Loss: 0.0266	LR: 0.000800
Training Epoch: 5 [33792/55500]	Loss: 0.0141	LR: 0.000800
Training Epoch: 5 [34048/55500]	Loss: 0.0475	LR: 0.000800
Training Epoch: 5 [34304/55500]	Loss: 0.0182	LR: 0.000800
Training Epoch: 5 [34560/55500]	Loss: 0.0277	LR: 0.000800
Training Epoch: 5 [34816/55500]	Loss: 0.0160	LR: 0.000800
Training Epoch: 5 [35072/55500]	Loss: 0.0182	LR: 0.000800
Training Epoch: 5 [35328/55500]	Loss: 0.0151	LR: 0.000800
Training Epoch: 5 [35584/55500]	Loss: 0.0364	LR: 0.000800
Training Epoch: 5 [35840/55500]	Loss: 0.0281	LR: 0.000800
Training Epoch: 5 [36096/55500]	Loss: 0.0243	LR: 0.000800
Training Epoch: 5 [36352/55500]	Loss: 0.0231	LR: 0.000800
Training Epoch: 5 [36608/55500]	Loss: 0.0200	LR: 0.000800
Training Epoch: 5 [36864/55500]	Loss: 0.0149	LR: 0.000800
Training Epoch: 5 [37120/55500]	Loss: 0.0230	LR: 0.000800
Training Epoch: 5 [37376/55500]	Loss: 0.0175	LR: 0.000800
Training Epoch: 5 [37632/55500]	Loss: 0.0182	LR: 0.000800
Training Epoch: 5 [37888/55500]	Loss: 0.0356	LR: 0.000800
Training Epoch: 5 [38144/55500]	Loss: 0.0442	LR: 0.000800
Training Epoch: 5 [38400/55500]	Loss: 0.0312	LR: 0.000800
Training Epoch: 5 [38656/55500]	Loss: 0.0149	LR: 0.000800
Training Epoch: 5 [38912/55500]	Loss: 0.0337	LR: 0.000800
Training Epoch: 5 [39168/55500]	Loss: 0.0232	LR: 0.000800
Training Epoch: 5 [39424/55500]	Loss: 0.0426	LR: 0.000800
Training Epoch: 5 [39680/55500]	Loss: 0.0104	LR: 0.000800
Training Epoch: 5 [39936/55500]	Loss: 0.0113	LR: 0.000800
Training Epoch: 5 [40192/55500]	Loss: 0.0173	LR: 0.000800
Training Epoch: 5 [40448/55500]	Loss: 0.0168	LR: 0.000800
Training Epoch: 5 [40704/55500]	Loss: 0.0246	LR: 0.000800
Training Epoch: 5 [40960/55500]	Loss: 0.0116	LR: 0.000800
Training Epoch: 5 [41216/55500]	Loss: 0.0191	LR: 0.000800
Training Epoch: 5 [41472/55500]	Loss: 0.0387	LR: 0.000800
Training Epoch: 5 [41728/55500]	Loss: 0.0121	LR: 0.000800
Training Epoch: 5 [41984/55500]	Loss: 0.0250	LR: 0.000800
Training Epoch: 5 [42240/55500]	Loss: 0.0127	LR: 0.000800
Training Epoch: 5 [42496/55500]	Loss: 0.0276	LR: 0.000800
Training Epoch: 5 [42752/55500]	Loss: 0.0336	LR: 0.000800
Training Epoch: 5 [43008/55500]	Loss: 0.0085	LR: 0.000800
Training Epoch: 5 [43264/55500]	Loss: 0.0153	LR: 0.000800
Training Epoch: 5 [43520/55500]	Loss: 0.0358	LR: 0.000800
Training Epoch: 5 [43776/55500]	Loss: 0.0356	LR: 0.000800
Training Epoch: 5 [44032/55500]	Loss: 0.0203	LR: 0.000800
Training Epoch: 5 [44288/55500]	Loss: 0.0362	LR: 0.000800
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Training Epoch: 5 [44800/55500]	Loss: 0.0153	LR: 0.000800
Training Epoch: 5 [45056/55500]	Loss: 0.0314	LR: 0.000800
Training Epoch: 5 [45312/55500]	Loss: 0.0196	LR: 0.000800
Training Epoch: 5 [45568/55500]	Loss: 0.0241	LR: 0.000800
Training Epoch: 5 [45824/55500]	Loss: 0.0233	LR: 0.000800
Training Epoch: 5 [46080/55500]	Loss: 0.0178	LR: 0.000800
Training Epoch: 5 [46336/55500]	Loss: 0.0130	LR: 0.000800
Training Epoch: 5 [46592/55500]	Loss: 0.0091	LR: 0.000800
Training Epoch: 5 [46848/55500]	Loss: 0.0268	LR: 0.000800
Training Epoch: 5 [47104/55500]	Loss: 0.0094	LR: 0.000800
Training Epoch: 5 [47360/55500]	Loss: 0.0237	LR: 0.000800
Training Epoch: 5 [47616/55500]	Loss: 0.0241	LR: 0.000800
Training Epoch: 5 [47872/55500]	Loss: 0.0203	LR: 0.000800
Training Epoch: 5 [48128/55500]	Loss: 0.0309	LR: 0.000800
Training Epoch: 5 [48384/55500]	Loss: 0.0137	LR: 0.000800
Training Epoch: 5 [48640/55500]	Loss: 0.0290	LR: 0.000800
Training Epoch: 5 [48896/55500]	Loss: 0.0475	LR: 0.000800
Training Epoch: 5 [49152/55500]	Loss: 0.0083	LR: 0.000800
Training Epoch: 5 [49408/55500]	Loss: 0.0315	LR: 0.000800
Training Epoch: 5 [49664/55500]	Loss: 0.0154	LR: 0.000800
Training Epoch: 5 [49920/55500]	Loss: 0.0286	LR: 0.000800
Training Epoch: 5 [50176/55500]	Loss: 0.0256	LR: 0.000800
Training Epoch: 5 [50432/55500]	Loss: 0.0116	LR: 0.000800
Training Epoch: 5 [50688/55500]	Loss: 0.0084	LR: 0.000800
Training Epoch: 5 [50944/55500]	Loss: 0.0201	LR: 0.000800
Training Epoch: 5 [51200/55500]	Loss: 0.0106	LR: 0.000800
Training Epoch: 5 [51456/55500]	Loss: 0.0320	LR: 0.000800
Training Epoch: 5 [51712/55500]	Loss: 0.0115	LR: 0.000800
Training Epoch: 5 [51968/55500]	Loss: 0.0264	LR: 0.000800
Training Epoch: 5 [52224/55500]	Loss: 0.0117	LR: 0.000800
Training Epoch: 5 [52480/55500]	Loss: 0.0213	LR: 0.000800
Training Epoch: 5 [52736/55500]	Loss: 0.0139	LR: 0.000800
Training Epoch: 5 [52992/55500]	Loss: 0.0058	LR: 0.000800
Training Epoch: 5 [53248/55500]	Loss: 0.0149	LR: 0.000800
Training Epoch: 5 [53504/55500]	Loss: 0.0155	LR: 0.000800
Training Epoch: 5 [53760/55500]	Loss: 0.0298	LR: 0.000800
Training Epoch: 5 [54016/55500]	Loss: 0.0145	LR: 0.000800
Training Epoch: 5 [54272/55500]	Loss: 0.0133	LR: 0.000800
Training Epoch: 5 [54528/55500]	Loss: 0.0288	LR: 0.000800
Training Epoch: 5 [54784/55500]	Loss: 0.0188	LR: 0.000800
Training Epoch: 5 [55040/55500]	Loss: 0.0110	LR: 0.000800
Training Epoch: 5 [55296/55500]	Loss: 0.0229	LR: 0.000800
Training Epoch: 5 [55500/55500]	Loss: 0.0098	LR: 0.000800
Epoch 5 - Average Train Loss: 0.0234, Train Accuracy: 0.9937
Epoch 5 training time consumed: 39.34s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0001, Accuracy: 0.9950, Time consumed:1.70s
Valid (Test) Dl:  10000
Train Dl:  60000
Retain Train Dl:  55500
Forget Train Dl:  4500
Retain Valid Dl:  55500
Forget Valid Dl:  4500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 4500 samples
Set1 Distribution: 4500 samples
Set2 Distribution: 4500 samples
Set1 Distribution: 4500 samples
Set2 Distribution: 4500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 99.51171875
Retain Accuracy: 99.42396545410156
Zero-Retain Forget (ZRF): 0.8037182092666626
Membership Inference Attack (MIA): 0.8166666666666667
Forget vs Retain Membership Inference Attack (MIA): 0.52
Forget vs Test Membership Inference Attack (MIA): 0.5033333333333333
Test vs Retain Membership Inference Attack (MIA): 0.49525
Train vs Test Membership Inference Attack (MIA): 0.5045
Forget Set Accuracy (Df): 99.36068725585938
Method Execution Time: 854.93 seconds
