hello
hello

📌S Retain class distribution for seed 5:
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

📌S Forget class distribution for seed 5:
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
72

📊 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: 2.4210	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4826	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.4258	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3552	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2882	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.1908	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.1086	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 1.9203	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 1.7149	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 1.5731	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 1.3656	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 1.0783	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 0.9850	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 0.6990	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 0.5209	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 0.5006	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 0.4184	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 0.2827	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 0.3017	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 0.3169	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 0.2481	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 0.2822	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 0.2209	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 0.2876	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 0.1726	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 0.1478	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 0.1973	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 0.3457	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 0.2660	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 0.1672	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 0.2182	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 0.2011	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 0.2100	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 0.2726	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 0.1539	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 0.2568	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 0.1460	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 0.2199	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 0.3070	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 0.1388	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 0.2533	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 0.1928	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 0.1660	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 0.1454	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 0.2117	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 0.2992	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 0.1520	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 0.2131	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 0.1330	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 0.1870	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 0.2732	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 0.2283	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 0.2715	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 0.4174	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 0.3560	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 0.2219	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 0.2382	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 0.1932	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 0.2004	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 0.2345	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 0.2866	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 0.1579	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 0.1903	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 0.2884	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 0.2083	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 0.2001	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 0.2348	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 0.3417	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 0.2058	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 0.1978	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 0.2426	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 0.2476	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 0.2838	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 0.2556	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 0.2690	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 0.1960	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 0.2833	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 0.1762	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 0.2583	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 0.2170	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 0.2062	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 0.1622	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 0.2528	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 0.1365	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 0.2387	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 0.1025	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 0.2017	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 0.2817	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 0.1766	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 0.1856	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 0.1874	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 0.2044	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 0.1903	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 0.1153	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 0.2421	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 0.2237	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 0.1094	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 0.2192	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 0.2447	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 0.2393	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 0.2789	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 0.2137	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 0.1791	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 0.2848	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 0.1740	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 0.1888	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 0.2005	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 0.2853	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 0.2299	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 0.1934	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 0.1371	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 0.1531	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 0.1883	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 0.2828	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 0.1989	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 0.1587	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 0.1629	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 0.2366	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 0.1907	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 0.3053	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 0.3785	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 0.2712	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 0.2285	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 0.2414	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 0.2016	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 0.3340	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 0.1421	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 0.2707	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 0.2362	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 0.2103	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 0.1937	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 0.2768	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 0.2526	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 0.2086	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 0.2319	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 0.1314	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 0.1997	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 0.2597	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 0.2450	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 0.2052	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 0.2021	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 0.1662	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 0.3028	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 0.2690	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 0.1746	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 0.1934	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 0.3187	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 0.2286	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 0.2469	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 0.1905	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 0.2512	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 0.1628	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 0.1380	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 0.2214	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 0.2561	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 0.2791	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 0.3049	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 0.1680	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 0.3052	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 0.1560	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 0.4072	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 0.3132	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 0.1642	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 0.1524	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 0.2634	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 0.2540	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 0.4476	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 0.2921	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 0.2246	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 0.2914	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 0.2456	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 0.2815	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 0.2924	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 0.2192	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 0.3123	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 0.3740	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 0.2753	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 0.3228	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 0.2668	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 0.2006	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 0.2387	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 0.1728	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 0.2097	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 0.2076	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 0.2251	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 0.2455	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 0.3480	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 0.1703	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 0.2741	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 0.2678	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 0.2554	LR: 0.099476
Epoch 1 - Average Train Loss: 0.3530, Train Accuracy: 0.8837
Epoch 1 training time consumed: 353.24s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0007, Accuracy: 0.9419, Time consumed:23.50s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_19h_56m_34s/ViT-Cifar10-seed5-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 0.2170	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 0.1572	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 0.4081	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 0.2651	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 0.3276	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 0.3595	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 0.2147	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 0.2273	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 0.1980	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 0.2451	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 0.2440	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 0.2605	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 0.3130	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 0.2708	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 0.2045	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 0.2304	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 0.2162	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 0.1119	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 0.2168	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 0.2484	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 0.3084	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 0.2581	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 0.1628	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 0.4451	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 0.3641	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 0.2210	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 0.2835	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 0.1754	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 0.1972	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 0.2615	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 0.3561	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 0.2469	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 0.1998	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 0.2002	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 0.1889	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 0.2968	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 0.1769	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 0.1845	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 0.2649	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 0.2197	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 0.2439	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 0.2631	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 0.2585	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 0.3012	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 0.1578	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 0.2237	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 0.2036	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 0.2363	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 0.2001	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 0.2287	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 0.2089	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 0.2091	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 0.1601	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 0.2737	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 0.2192	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 0.5577	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 0.2610	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 0.2553	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 0.3576	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 0.2931	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 0.4279	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 0.2539	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 0.2164	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 0.2398	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 0.2881	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 0.2928	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 0.2687	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 0.2407	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 0.2602	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 0.2613	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 0.2649	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 0.2028	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 0.2163	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 0.1043	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 0.2242	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 0.2458	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 0.2382	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 0.2585	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 0.3274	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 0.4024	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 0.3143	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 0.2064	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 0.2883	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.2556	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 0.3580	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2230, Train Accuracy: 0.9256
Epoch 2 training time consumed: 351.42s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0004, Accuracy: 0.9678, Time consumed:23.49s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_19h_56m_34s/ViT-Cifar10-seed5-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.0784	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.1224	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.1601	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.3135	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1576, Train Accuracy: 0.9459
Epoch 3 training time consumed: 351.27s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0006, Accuracy: 0.9532, Time consumed:23.47s
Training Epoch: 4 [256/48750]	Loss: 0.1693	LR: 0.100000
Training Epoch: 4 [512/48750]	Loss: 0.2185	LR: 0.100000
Training Epoch: 4 [768/48750]	Loss: 0.2112	LR: 0.100000
Training Epoch: 4 [1024/48750]	Loss: 0.1117	LR: 0.100000
Training Epoch: 4 [1280/48750]	Loss: 0.1721	LR: 0.100000
Training Epoch: 4 [1536/48750]	Loss: 0.1387	LR: 0.100000
Training Epoch: 4 [1792/48750]	Loss: 0.2458	LR: 0.100000
Training Epoch: 4 [2048/48750]	Loss: 0.1832	LR: 0.100000
Training Epoch: 4 [2304/48750]	Loss: 0.2169	LR: 0.100000
Training Epoch: 4 [2560/48750]	Loss: 0.1047	LR: 0.100000
Training Epoch: 4 [2816/48750]	Loss: 0.1400	LR: 0.100000
Training Epoch: 4 [3072/48750]	Loss: 0.1990	LR: 0.100000
Training Epoch: 4 [3328/48750]	Loss: 0.1548	LR: 0.100000
Training Epoch: 4 [3584/48750]	Loss: 0.1650	LR: 0.100000
Training Epoch: 4 [3840/48750]	Loss: 0.0880	LR: 0.100000
Training Epoch: 4 [4096/48750]	Loss: 0.1576	LR: 0.100000
Training Epoch: 4 [4352/48750]	Loss: 0.1505	LR: 0.100000
Training Epoch: 4 [4608/48750]	Loss: 0.1297	LR: 0.100000
Training Epoch: 4 [4864/48750]	Loss: 0.1205	LR: 0.100000
Training Epoch: 4 [5120/48750]	Loss: 0.1875	LR: 0.100000
Training Epoch: 4 [5376/48750]	Loss: 0.1791	LR: 0.100000
Training Epoch: 4 [5632/48750]	Loss: 0.1296	LR: 0.100000
Training Epoch: 4 [5888/48750]	Loss: 0.1470	LR: 0.100000
Training Epoch: 4 [6144/48750]	Loss: 0.2917	LR: 0.100000
Training Epoch: 4 [6400/48750]	Loss: 0.1125	LR: 0.100000
Training Epoch: 4 [6656/48750]	Loss: 0.2041	LR: 0.100000
Training Epoch: 4 [6912/48750]	Loss: 0.2547	LR: 0.100000
Training Epoch: 4 [7168/48750]	Loss: 0.1426	LR: 0.100000
Training Epoch: 4 [7424/48750]	Loss: 0.1191	LR: 0.100000
Training Epoch: 4 [7680/48750]	Loss: 0.1680	LR: 0.100000
Training Epoch: 4 [7936/48750]	Loss: 0.1872	LR: 0.100000
Training Epoch: 4 [8192/48750]	Loss: 0.1307	LR: 0.100000
Training Epoch: 4 [8448/48750]	Loss: 0.1628	LR: 0.100000
Training Epoch: 4 [8704/48750]	Loss: 0.1756	LR: 0.100000
Training Epoch: 4 [8960/48750]	Loss: 0.1923	LR: 0.100000
Training Epoch: 4 [9216/48750]	Loss: 0.1576	LR: 0.100000
Training Epoch: 4 [9472/48750]	Loss: 0.1627	LR: 0.100000
Training Epoch: 4 [9728/48750]	Loss: 0.1530	LR: 0.100000
Training Epoch: 4 [9984/48750]	Loss: 0.1697	LR: 0.100000
Training Epoch: 4 [10240/48750]	Loss: 0.1862	LR: 0.100000
Training Epoch: 4 [10496/48750]	Loss: 0.1527	LR: 0.100000
Training Epoch: 4 [10752/48750]	Loss: 0.1171	LR: 0.100000
Training Epoch: 4 [11008/48750]	Loss: 0.1821	LR: 0.100000
Training Epoch: 4 [11264/48750]	Loss: 0.3558	LR: 0.100000
Training Epoch: 4 [11520/48750]	Loss: 0.1275	LR: 0.100000
Training Epoch: 4 [11776/48750]	Loss: 0.1954	LR: 0.100000
Training Epoch: 4 [12032/48750]	Loss: 0.1707	LR: 0.100000
Training Epoch: 4 [12288/48750]	Loss: 0.2613	LR: 0.100000
Training Epoch: 4 [12544/48750]	Loss: 0.1958	LR: 0.100000
Training Epoch: 4 [12800/48750]	Loss: 0.1538	LR: 0.100000
Training Epoch: 4 [13056/48750]	Loss: 0.2160	LR: 0.100000
Training Epoch: 4 [13312/48750]	Loss: 0.1564	LR: 0.100000
Training Epoch: 4 [13568/48750]	Loss: 0.1282	LR: 0.100000
Training Epoch: 4 [13824/48750]	Loss: 0.1693	LR: 0.100000
Training Epoch: 4 [14080/48750]	Loss: 0.1560	LR: 0.100000
Training Epoch: 4 [14336/48750]	Loss: 0.1649	LR: 0.100000
Training Epoch: 4 [14592/48750]	Loss: 0.1072	LR: 0.100000
Training Epoch: 4 [14848/48750]	Loss: 0.1112	LR: 0.100000
Training Epoch: 4 [15104/48750]	Loss: 0.1864	LR: 0.100000
Training Epoch: 4 [15360/48750]	Loss: 0.1922	LR: 0.100000
Training Epoch: 4 [15616/48750]	Loss: 0.1496	LR: 0.100000
Training Epoch: 4 [15872/48750]	Loss: 0.1457	LR: 0.100000
Training Epoch: 4 [16128/48750]	Loss: 0.1792	LR: 0.100000
Training Epoch: 4 [16384/48750]	Loss: 0.1900	LR: 0.100000
Training Epoch: 4 [16640/48750]	Loss: 0.1158	LR: 0.100000
Training Epoch: 4 [16896/48750]	Loss: 0.1398	LR: 0.100000
Training Epoch: 4 [17152/48750]	Loss: 0.1519	LR: 0.100000
Training Epoch: 4 [17408/48750]	Loss: 0.1388	LR: 0.100000
Training Epoch: 4 [17664/48750]	Loss: 0.1619	LR: 0.100000
Training Epoch: 4 [17920/48750]	Loss: 0.2059	LR: 0.100000
Training Epoch: 4 [18176/48750]	Loss: 0.2216	LR: 0.100000
Training Epoch: 4 [18432/48750]	Loss: 0.0805	LR: 0.100000
Training Epoch: 4 [18688/48750]	Loss: 0.1413	LR: 0.100000
Training Epoch: 4 [18944/48750]	Loss: 0.1814	LR: 0.100000
Training Epoch: 4 [19200/48750]	Loss: 0.1790	LR: 0.100000
Training Epoch: 4 [19456/48750]	Loss: 0.1335	LR: 0.100000
Training Epoch: 4 [19712/48750]	Loss: 0.2332	LR: 0.100000
Training Epoch: 4 [19968/48750]	Loss: 0.1599	LR: 0.100000
Training Epoch: 4 [20224/48750]	Loss: 0.1869	LR: 0.100000
Training Epoch: 4 [20480/48750]	Loss: 0.1912	LR: 0.100000
Training Epoch: 4 [20736/48750]	Loss: 0.1652	LR: 0.100000
Training Epoch: 4 [20992/48750]	Loss: 0.1271	LR: 0.100000
Training Epoch: 4 [21248/48750]	Loss: 0.1232	LR: 0.100000
Training Epoch: 4 [21504/48750]	Loss: 0.1789	LR: 0.100000
Training Epoch: 4 [21760/48750]	Loss: 0.1795	LR: 0.100000
Training Epoch: 4 [22016/48750]	Loss: 0.1202	LR: 0.100000
Training Epoch: 4 [22272/48750]	Loss: 0.1366	LR: 0.100000
Training Epoch: 4 [22528/48750]	Loss: 0.1623	LR: 0.100000
Training Epoch: 4 [22784/48750]	Loss: 0.1091	LR: 0.100000
Training Epoch: 4 [23040/48750]	Loss: 0.1872	LR: 0.100000
Training Epoch: 4 [23296/48750]	Loss: 0.1422	LR: 0.100000
Training Epoch: 4 [23552/48750]	Loss: 0.1296	LR: 0.100000
Training Epoch: 4 [23808/48750]	Loss: 0.1530	LR: 0.100000
Training Epoch: 4 [24064/48750]	Loss: 0.3257	LR: 0.100000
Training Epoch: 4 [24320/48750]	Loss: 0.1199	LR: 0.100000
Training Epoch: 4 [24576/48750]	Loss: 0.1766	LR: 0.100000
Training Epoch: 4 [24832/48750]	Loss: 0.1498	LR: 0.100000
Training Epoch: 4 [25088/48750]	Loss: 0.2430	LR: 0.100000
Training Epoch: 4 [25344/48750]	Loss: 0.1786	LR: 0.100000
Training Epoch: 4 [25600/48750]	Loss: 0.2066	LR: 0.100000
Training Epoch: 4 [25856/48750]	Loss: 0.1137	LR: 0.100000
Training Epoch: 4 [26112/48750]	Loss: 0.1607	LR: 0.100000
Training Epoch: 4 [26368/48750]	Loss: 0.1718	LR: 0.100000
Training Epoch: 4 [26624/48750]	Loss: 0.0850	LR: 0.100000
Training Epoch: 4 [26880/48750]	Loss: 0.1617	LR: 0.100000
Training Epoch: 4 [27136/48750]	Loss: 0.1237	LR: 0.100000
Training Epoch: 4 [27392/48750]	Loss: 0.1179	LR: 0.100000
Training Epoch: 4 [27648/48750]	Loss: 0.1080	LR: 0.100000
Training Epoch: 4 [27904/48750]	Loss: 0.2745	LR: 0.100000
Training Epoch: 4 [28160/48750]	Loss: 0.1792	LR: 0.100000
Training Epoch: 4 [28416/48750]	Loss: 0.0948	LR: 0.100000
Training Epoch: 4 [28672/48750]	Loss: 0.2335	LR: 0.100000
Training Epoch: 4 [28928/48750]	Loss: 0.1425	LR: 0.100000
Training Epoch: 4 [29184/48750]	Loss: 0.1043	LR: 0.100000
Training Epoch: 4 [29440/48750]	Loss: 0.2042	LR: 0.100000
Training Epoch: 4 [29696/48750]	Loss: 0.1292	LR: 0.100000
Training Epoch: 4 [29952/48750]	Loss: 0.2229	LR: 0.100000
Training Epoch: 4 [30208/48750]	Loss: 0.1738	LR: 0.100000
Training Epoch: 4 [30464/48750]	Loss: 0.2317	LR: 0.100000
Training Epoch: 4 [30720/48750]	Loss: 0.2409	LR: 0.100000
Training Epoch: 4 [30976/48750]	Loss: 0.1875	LR: 0.100000
Training Epoch: 4 [31232/48750]	Loss: 0.1770	LR: 0.100000
Training Epoch: 4 [31488/48750]	Loss: 0.1411	LR: 0.100000
Training Epoch: 4 [31744/48750]	Loss: 0.1417	LR: 0.100000
Training Epoch: 4 [32000/48750]	Loss: 0.1591	LR: 0.100000
Training Epoch: 4 [32256/48750]	Loss: 0.1189	LR: 0.100000
Training Epoch: 4 [32512/48750]	Loss: 0.1256	LR: 0.100000
Training Epoch: 4 [32768/48750]	Loss: 0.1605	LR: 0.100000
Training Epoch: 4 [33024/48750]	Loss: 0.1794	LR: 0.100000
Training Epoch: 4 [33280/48750]	Loss: 0.1281	LR: 0.100000
Training Epoch: 4 [33536/48750]	Loss: 0.2866	LR: 0.100000
Training Epoch: 4 [33792/48750]	Loss: 0.1483	LR: 0.100000
Training Epoch: 4 [34048/48750]	Loss: 0.1544	LR: 0.100000
Training Epoch: 4 [34304/48750]	Loss: 0.1722	LR: 0.100000
Training Epoch: 4 [34560/48750]	Loss: 0.2626	LR: 0.100000
Training Epoch: 4 [34816/48750]	Loss: 0.1670	LR: 0.100000
Training Epoch: 4 [35072/48750]	Loss: 0.1566	LR: 0.100000
Training Epoch: 4 [35328/48750]	Loss: 0.1943	LR: 0.100000
Training Epoch: 4 [35584/48750]	Loss: 0.1945	LR: 0.100000
Training Epoch: 4 [35840/48750]	Loss: 0.1335	LR: 0.100000
Training Epoch: 4 [36096/48750]	Loss: 0.0893	LR: 0.100000
Training Epoch: 4 [36352/48750]	Loss: 0.1518	LR: 0.100000
Training Epoch: 4 [36608/48750]	Loss: 0.1683	LR: 0.100000
Training Epoch: 4 [36864/48750]	Loss: 0.1101	LR: 0.100000
Training Epoch: 4 [37120/48750]	Loss: 0.0651	LR: 0.100000
Training Epoch: 4 [37376/48750]	Loss: 0.1247	LR: 0.100000
Training Epoch: 4 [37632/48750]	Loss: 0.1153	LR: 0.100000
Training Epoch: 4 [37888/48750]	Loss: 0.1674	LR: 0.100000
Training Epoch: 4 [38144/48750]	Loss: 0.1469	LR: 0.100000
Training Epoch: 4 [38400/48750]	Loss: 0.1856	LR: 0.100000
Training Epoch: 4 [38656/48750]	Loss: 0.0559	LR: 0.100000
Training Epoch: 4 [38912/48750]	Loss: 0.1500	LR: 0.100000
Training Epoch: 4 [39168/48750]	Loss: 0.1122	LR: 0.100000
Training Epoch: 4 [39424/48750]	Loss: 0.1302	LR: 0.100000
Training Epoch: 4 [39680/48750]	Loss: 0.1614	LR: 0.100000
Training Epoch: 4 [39936/48750]	Loss: 0.1450	LR: 0.100000
Training Epoch: 4 [40192/48750]	Loss: 0.1690	LR: 0.100000
Training Epoch: 4 [40448/48750]	Loss: 0.1897	LR: 0.100000
Training Epoch: 4 [40704/48750]	Loss: 0.1878	LR: 0.100000
Training Epoch: 4 [40960/48750]	Loss: 0.1433	LR: 0.100000
Training Epoch: 4 [41216/48750]	Loss: 0.2367	LR: 0.100000
Training Epoch: 4 [41472/48750]	Loss: 0.1454	LR: 0.100000
Training Epoch: 4 [41728/48750]	Loss: 0.1726	LR: 0.100000
Training Epoch: 4 [41984/48750]	Loss: 0.1277	LR: 0.100000
Training Epoch: 4 [42240/48750]	Loss: 0.1520	LR: 0.100000
Training Epoch: 4 [42496/48750]	Loss: 0.2147	LR: 0.100000
Training Epoch: 4 [42752/48750]	Loss: 0.1921	LR: 0.100000
Training Epoch: 4 [43008/48750]	Loss: 0.1430	LR: 0.100000
Training Epoch: 4 [43264/48750]	Loss: 0.1211	LR: 0.100000
Training Epoch: 4 [43520/48750]	Loss: 0.0885	LR: 0.100000
Training Epoch: 4 [43776/48750]	Loss: 0.1423	LR: 0.100000
Training Epoch: 4 [44032/48750]	Loss: 0.1528	LR: 0.100000
Training Epoch: 4 [44288/48750]	Loss: 0.1514	LR: 0.100000
Training Epoch: 4 [44544/48750]	Loss: 0.1351	LR: 0.100000
Training Epoch: 4 [44800/48750]	Loss: 0.1025	LR: 0.100000
Training Epoch: 4 [45056/48750]	Loss: 0.1633	LR: 0.100000
Training Epoch: 4 [45312/48750]	Loss: 0.2505	LR: 0.100000
Training Epoch: 4 [45568/48750]	Loss: 0.0988	LR: 0.100000
Training Epoch: 4 [45824/48750]	Loss: 0.1205	LR: 0.100000
Training Epoch: 4 [46080/48750]	Loss: 0.1820	LR: 0.100000
Training Epoch: 4 [46336/48750]	Loss: 0.2043	LR: 0.100000
Training Epoch: 4 [46592/48750]	Loss: 0.1663	LR: 0.100000
Training Epoch: 4 [46848/48750]	Loss: 0.0992	LR: 0.100000
Training Epoch: 4 [47104/48750]	Loss: 0.1665	LR: 0.100000
Training Epoch: 4 [47360/48750]	Loss: 0.1976	LR: 0.100000
Training Epoch: 4 [47616/48750]	Loss: 0.1549	LR: 0.100000
Training Epoch: 4 [47872/48750]	Loss: 0.1064	LR: 0.100000
Training Epoch: 4 [48128/48750]	Loss: 0.1951	LR: 0.100000
Training Epoch: 4 [48384/48750]	Loss: 0.1715	LR: 0.100000
Training Epoch: 4 [48640/48750]	Loss: 0.1539	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 0.0980	LR: 0.100000
Epoch 4 - Average Train Loss: 0.1627, Train Accuracy: 0.9459
Epoch 4 training time consumed: 351.29s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0005, Accuracy: 0.9590, Time consumed:23.47s
Training Epoch: 5 [256/48750]	Loss: 0.0709	LR: 0.100000
Training Epoch: 5 [512/48750]	Loss: 0.1496	LR: 0.100000
Training Epoch: 5 [768/48750]	Loss: 0.0954	LR: 0.100000
Training Epoch: 5 [1024/48750]	Loss: 0.1139	LR: 0.100000
Training Epoch: 5 [1280/48750]	Loss: 0.1273	LR: 0.100000
Training Epoch: 5 [1536/48750]	Loss: 0.1038	LR: 0.100000
Training Epoch: 5 [1792/48750]	Loss: 0.1787	LR: 0.100000
Training Epoch: 5 [2048/48750]	Loss: 0.1231	LR: 0.100000
Training Epoch: 5 [2304/48750]	Loss: 0.1836	LR: 0.100000
Training Epoch: 5 [2560/48750]	Loss: 0.1469	LR: 0.100000
Training Epoch: 5 [2816/48750]	Loss: 0.3064	LR: 0.100000
Training Epoch: 5 [3072/48750]	Loss: 0.0998	LR: 0.100000
Training Epoch: 5 [3328/48750]	Loss: 0.2762	LR: 0.100000
Training Epoch: 5 [3584/48750]	Loss: 0.3120	LR: 0.100000
Training Epoch: 5 [3840/48750]	Loss: 0.1505	LR: 0.100000
Training Epoch: 5 [4096/48750]	Loss: 0.2326	LR: 0.100000
Training Epoch: 5 [4352/48750]	Loss: 0.1575	LR: 0.100000
Training Epoch: 5 [4608/48750]	Loss: 0.1971	LR: 0.100000
Training Epoch: 5 [4864/48750]	Loss: 0.1781	LR: 0.100000
Training Epoch: 5 [5120/48750]	Loss: 0.1952	LR: 0.100000
Training Epoch: 5 [5376/48750]	Loss: 0.1369	LR: 0.100000
Training Epoch: 5 [5632/48750]	Loss: 0.2081	LR: 0.100000
Training Epoch: 5 [5888/48750]	Loss: 0.1316	LR: 0.100000
Training Epoch: 5 [6144/48750]	Loss: 0.1529	LR: 0.100000
Training Epoch: 5 [6400/48750]	Loss: 0.1194	LR: 0.100000
Training Epoch: 5 [6656/48750]	Loss: 0.1858	LR: 0.100000
Training Epoch: 5 [6912/48750]	Loss: 0.1747	LR: 0.100000
Training Epoch: 5 [7168/48750]	Loss: 0.1568	LR: 0.100000
Training Epoch: 5 [7424/48750]	Loss: 0.1588	LR: 0.100000
Training Epoch: 5 [7680/48750]	Loss: 0.1901	LR: 0.100000
Training Epoch: 5 [7936/48750]	Loss: 0.1366	LR: 0.100000
Training Epoch: 5 [8192/48750]	Loss: 0.2056	LR: 0.100000
Training Epoch: 5 [8448/48750]	Loss: 0.1624	LR: 0.100000
Training Epoch: 5 [8704/48750]	Loss: 0.1210	LR: 0.100000
Training Epoch: 5 [8960/48750]	Loss: 0.1784	LR: 0.100000
Training Epoch: 5 [9216/48750]	Loss: 0.1167	LR: 0.100000
Training Epoch: 5 [9472/48750]	Loss: 0.1749	LR: 0.100000
Training Epoch: 5 [9728/48750]	Loss: 0.1924	LR: 0.100000
Training Epoch: 5 [9984/48750]	Loss: 0.1290	LR: 0.100000
Training Epoch: 5 [10240/48750]	Loss: 0.1426	LR: 0.100000
Training Epoch: 5 [10496/48750]	Loss: 0.1198	LR: 0.100000
Training Epoch: 5 [10752/48750]	Loss: 0.2161	LR: 0.100000
Training Epoch: 5 [11008/48750]	Loss: 0.1302	LR: 0.100000
Training Epoch: 5 [11264/48750]	Loss: 0.2360	LR: 0.100000
Training Epoch: 5 [11520/48750]	Loss: 0.1798	LR: 0.100000
Training Epoch: 5 [11776/48750]	Loss: 0.1632	LR: 0.100000
Training Epoch: 5 [12032/48750]	Loss: 0.0921	LR: 0.100000
Training Epoch: 5 [12288/48750]	Loss: 0.1869	LR: 0.100000
Training Epoch: 5 [12544/48750]	Loss: 0.1948	LR: 0.100000
Training Epoch: 5 [12800/48750]	Loss: 0.1419	LR: 0.100000
Training Epoch: 5 [13056/48750]	Loss: 0.2101	LR: 0.100000
Training Epoch: 5 [13312/48750]	Loss: 0.2357	LR: 0.100000
Training Epoch: 5 [13568/48750]	Loss: 0.0898	LR: 0.100000
Training Epoch: 5 [13824/48750]	Loss: 0.1882	LR: 0.100000
Training Epoch: 5 [14080/48750]	Loss: 0.3366	LR: 0.100000
Training Epoch: 5 [14336/48750]	Loss: 0.1891	LR: 0.100000
Training Epoch: 5 [14592/48750]	Loss: 0.1707	LR: 0.100000
Training Epoch: 5 [14848/48750]	Loss: 0.1802	LR: 0.100000
Training Epoch: 5 [15104/48750]	Loss: 0.2392	LR: 0.100000
Training Epoch: 5 [15360/48750]	Loss: 0.1695	LR: 0.100000
Training Epoch: 5 [15616/48750]	Loss: 0.2524	LR: 0.100000
Training Epoch: 5 [15872/48750]	Loss: 0.2213	LR: 0.100000
Training Epoch: 5 [16128/48750]	Loss: 0.1956	LR: 0.100000
Training Epoch: 5 [16384/48750]	Loss: 0.1429	LR: 0.100000
Training Epoch: 5 [16640/48750]	Loss: 0.1582	LR: 0.100000
Training Epoch: 5 [16896/48750]	Loss: 0.2624	LR: 0.100000
Training Epoch: 5 [17152/48750]	Loss: 0.1309	LR: 0.100000
Training Epoch: 5 [17408/48750]	Loss: 0.1627	LR: 0.100000
Training Epoch: 5 [17664/48750]	Loss: 0.2393	LR: 0.100000
Training Epoch: 5 [17920/48750]	Loss: 0.2194	LR: 0.100000
Training Epoch: 5 [18176/48750]	Loss: 0.1878	LR: 0.100000
Training Epoch: 5 [18432/48750]	Loss: 0.1411	LR: 0.100000
Training Epoch: 5 [18688/48750]	Loss: 0.2101	LR: 0.100000
Training Epoch: 5 [18944/48750]	Loss: 0.1942	LR: 0.100000
Training Epoch: 5 [19200/48750]	Loss: 0.1111	LR: 0.100000
Training Epoch: 5 [19456/48750]	Loss: 0.2695	LR: 0.100000
Training Epoch: 5 [19712/48750]	Loss: 0.2324	LR: 0.100000
Training Epoch: 5 [19968/48750]	Loss: 0.1260	LR: 0.100000
Training Epoch: 5 [20224/48750]	Loss: 0.1188	LR: 0.100000
Training Epoch: 5 [20480/48750]	Loss: 0.1976	LR: 0.100000
Training Epoch: 5 [20736/48750]	Loss: 0.2193	LR: 0.100000
Training Epoch: 5 [20992/48750]	Loss: 0.1605	LR: 0.100000
Training Epoch: 5 [21248/48750]	Loss: 0.1708	LR: 0.100000
Training Epoch: 5 [21504/48750]	Loss: 0.1639	LR: 0.100000
Training Epoch: 5 [21760/48750]	Loss: 0.2685	LR: 0.100000
Training Epoch: 5 [22016/48750]	Loss: 0.1012	LR: 0.100000
Training Epoch: 5 [22272/48750]	Loss: 0.1033	LR: 0.100000
Training Epoch: 5 [22528/48750]	Loss: 0.2055	LR: 0.100000
Training Epoch: 5 [22784/48750]	Loss: 0.1477	LR: 0.100000
Training Epoch: 5 [23040/48750]	Loss: 0.1609	LR: 0.100000
Training Epoch: 5 [23296/48750]	Loss: 0.1620	LR: 0.100000
Training Epoch: 5 [23552/48750]	Loss: 0.1695	LR: 0.100000
Training Epoch: 5 [23808/48750]	Loss: 0.1806	LR: 0.100000
Training Epoch: 5 [24064/48750]	Loss: 0.1500	LR: 0.100000
Training Epoch: 5 [24320/48750]	Loss: 0.1376	LR: 0.100000
Training Epoch: 5 [24576/48750]	Loss: 0.1808	LR: 0.100000
Training Epoch: 5 [24832/48750]	Loss: 0.2286	LR: 0.100000
Training Epoch: 5 [25088/48750]	Loss: 0.1841	LR: 0.100000
Training Epoch: 5 [25344/48750]	Loss: 0.1665	LR: 0.100000
Training Epoch: 5 [25600/48750]	Loss: 0.2832	LR: 0.100000
Training Epoch: 5 [25856/48750]	Loss: 0.1448	LR: 0.100000
Training Epoch: 5 [26112/48750]	Loss: 0.2450	LR: 0.100000
Training Epoch: 5 [26368/48750]	Loss: 0.1921	LR: 0.100000
Training Epoch: 5 [26624/48750]	Loss: 0.1877	LR: 0.100000
Training Epoch: 5 [26880/48750]	Loss: 0.2124	LR: 0.100000
Training Epoch: 5 [27136/48750]	Loss: 0.1912	LR: 0.100000
Training Epoch: 5 [27392/48750]	Loss: 0.0795	LR: 0.100000
Training Epoch: 5 [27648/48750]	Loss: 0.2087	LR: 0.100000
Training Epoch: 5 [27904/48750]	Loss: 0.2935	LR: 0.100000
Training Epoch: 5 [28160/48750]	Loss: 0.1240	LR: 0.100000
Training Epoch: 5 [28416/48750]	Loss: 0.2098	LR: 0.100000
Training Epoch: 5 [28672/48750]	Loss: 0.1534	LR: 0.100000
Training Epoch: 5 [28928/48750]	Loss: 0.2119	LR: 0.100000
Training Epoch: 5 [29184/48750]	Loss: 0.1804	LR: 0.100000
Training Epoch: 5 [29440/48750]	Loss: 0.2213	LR: 0.100000
Training Epoch: 5 [29696/48750]	Loss: 0.1927	LR: 0.100000
Training Epoch: 5 [29952/48750]	Loss: 0.1812	LR: 0.100000
Training Epoch: 5 [30208/48750]	Loss: 0.1937	LR: 0.100000
Training Epoch: 5 [30464/48750]	Loss: 0.2474	LR: 0.100000
Training Epoch: 5 [30720/48750]	Loss: 0.2117	LR: 0.100000
Training Epoch: 5 [30976/48750]	Loss: 0.1886	LR: 0.100000
Training Epoch: 5 [31232/48750]	Loss: 0.2885	LR: 0.100000
Training Epoch: 5 [31488/48750]	Loss: 0.2673	LR: 0.100000
Training Epoch: 5 [31744/48750]	Loss: 0.1479	LR: 0.100000
Training Epoch: 5 [32000/48750]	Loss: 0.1985	LR: 0.100000
Training Epoch: 5 [32256/48750]	Loss: 0.2103	LR: 0.100000
Training Epoch: 5 [32512/48750]	Loss: 0.1399	LR: 0.100000
Training Epoch: 5 [32768/48750]	Loss: 0.1480	LR: 0.100000
Training Epoch: 5 [33024/48750]	Loss: 0.2112	LR: 0.100000
Training Epoch: 5 [33280/48750]	Loss: 0.2335	LR: 0.100000
Training Epoch: 5 [33536/48750]	Loss: 0.1270	LR: 0.100000
Training Epoch: 5 [33792/48750]	Loss: 0.1813	LR: 0.100000
Training Epoch: 5 [34048/48750]	Loss: 0.1307	LR: 0.100000
Training Epoch: 5 [34304/48750]	Loss: 0.2313	LR: 0.100000
Training Epoch: 5 [34560/48750]	Loss: 0.1445	LR: 0.100000
Training Epoch: 5 [34816/48750]	Loss: 0.2081	LR: 0.100000
Training Epoch: 5 [35072/48750]	Loss: 0.2048	LR: 0.100000
Training Epoch: 5 [35328/48750]	Loss: 0.3514	LR: 0.100000
Training Epoch: 5 [35584/48750]	Loss: 0.2190	LR: 0.100000
Training Epoch: 5 [35840/48750]	Loss: 0.1423	LR: 0.100000
Training Epoch: 5 [36096/48750]	Loss: 0.2133	LR: 0.100000
Training Epoch: 5 [36352/48750]	Loss: 0.2507	LR: 0.100000
Training Epoch: 5 [36608/48750]	Loss: 0.2024	LR: 0.100000
Training Epoch: 5 [36864/48750]	Loss: 0.1697	LR: 0.100000
Training Epoch: 5 [37120/48750]	Loss: 0.3083	LR: 0.100000
Training Epoch: 5 [37376/48750]	Loss: 0.1849	LR: 0.100000
Training Epoch: 5 [37632/48750]	Loss: 0.2574	LR: 0.100000
Training Epoch: 5 [37888/48750]	Loss: 0.1725	LR: 0.100000
Training Epoch: 5 [38144/48750]	Loss: 0.1457	LR: 0.100000
Training Epoch: 5 [38400/48750]	Loss: 0.1750	LR: 0.100000
Training Epoch: 5 [38656/48750]	Loss: 0.2101	LR: 0.100000
Training Epoch: 5 [38912/48750]	Loss: 0.1493	LR: 0.100000
Training Epoch: 5 [39168/48750]	Loss: 0.1794	LR: 0.100000
Training Epoch: 5 [39424/48750]	Loss: 0.1663	LR: 0.100000
Training Epoch: 5 [39680/48750]	Loss: 0.2181	LR: 0.100000
Training Epoch: 5 [39936/48750]	Loss: 0.1117	LR: 0.100000
Training Epoch: 5 [40192/48750]	Loss: 0.2620	LR: 0.100000
Training Epoch: 5 [40448/48750]	Loss: 0.2252	LR: 0.100000
Training Epoch: 5 [40704/48750]	Loss: 0.1579	LR: 0.100000
Training Epoch: 5 [40960/48750]	Loss: 0.1984	LR: 0.100000
Training Epoch: 5 [41216/48750]	Loss: 0.2140	LR: 0.100000
Training Epoch: 5 [41472/48750]	Loss: 0.1881	LR: 0.100000
Training Epoch: 5 [41728/48750]	Loss: 0.2800	LR: 0.100000
Training Epoch: 5 [41984/48750]	Loss: 0.1279	LR: 0.100000
Training Epoch: 5 [42240/48750]	Loss: 0.1649	LR: 0.100000
Training Epoch: 5 [42496/48750]	Loss: 0.1795	LR: 0.100000
Training Epoch: 5 [42752/48750]	Loss: 0.2727	LR: 0.100000
Training Epoch: 5 [43008/48750]	Loss: 0.2119	LR: 0.100000
Training Epoch: 5 [43264/48750]	Loss: 0.2576	LR: 0.100000
Training Epoch: 5 [43520/48750]	Loss: 0.1896	LR: 0.100000
Training Epoch: 5 [43776/48750]	Loss: 0.1947	LR: 0.100000
Training Epoch: 5 [44032/48750]	Loss: 0.1947	LR: 0.100000
Training Epoch: 5 [44288/48750]	Loss: 0.1984	LR: 0.100000
Training Epoch: 5 [44544/48750]	Loss: 0.3692	LR: 0.100000
Training Epoch: 5 [44800/48750]	Loss: 0.2208	LR: 0.100000
Training Epoch: 5 [45056/48750]	Loss: 0.2944	LR: 0.100000
Training Epoch: 5 [45312/48750]	Loss: 0.2350	LR: 0.100000
Training Epoch: 5 [45568/48750]	Loss: 0.2779	LR: 0.100000
Training Epoch: 5 [45824/48750]	Loss: 0.1977	LR: 0.100000
Training Epoch: 5 [46080/48750]	Loss: 0.3486	LR: 0.100000
Training Epoch: 5 [46336/48750]	Loss: 0.2466	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.1587	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.2141	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.1726	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.1440	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.1732	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.3273	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.2329	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.2683	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.1721	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.1438	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1899, Train Accuracy: 0.9354
Epoch 5 training time consumed: 351.32s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0007, Accuracy: 0.9434, Time consumed:23.49s
Training Epoch: 6 [256/48750]	Loss: 0.1094	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.2370	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.1282	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.1434	LR: 0.100000
Training Epoch: 6 [1280/48750]	Loss: 0.2324	LR: 0.100000
Training Epoch: 6 [1536/48750]	Loss: 0.1827	LR: 0.100000
Training Epoch: 6 [1792/48750]	Loss: 0.1283	LR: 0.100000
Training Epoch: 6 [2048/48750]	Loss: 0.1472	LR: 0.100000
Training Epoch: 6 [2304/48750]	Loss: 0.2153	LR: 0.100000
Training Epoch: 6 [2560/48750]	Loss: 0.1926	LR: 0.100000
Training Epoch: 6 [2816/48750]	Loss: 0.1975	LR: 0.100000
Training Epoch: 6 [3072/48750]	Loss: 0.1494	LR: 0.100000
Training Epoch: 6 [3328/48750]	Loss: 0.1402	LR: 0.100000
Training Epoch: 6 [3584/48750]	Loss: 0.1445	LR: 0.100000
Training Epoch: 6 [3840/48750]	Loss: 0.1747	LR: 0.100000
Training Epoch: 6 [4096/48750]	Loss: 0.0837	LR: 0.100000
Training Epoch: 6 [4352/48750]	Loss: 0.2227	LR: 0.100000
Training Epoch: 6 [4608/48750]	Loss: 0.1314	LR: 0.100000
Training Epoch: 6 [4864/48750]	Loss: 0.1520	LR: 0.100000
Training Epoch: 6 [5120/48750]	Loss: 0.1133	LR: 0.100000
Training Epoch: 6 [5376/48750]	Loss: 0.1822	LR: 0.100000
Training Epoch: 6 [5632/48750]	Loss: 0.2023	LR: 0.100000
Training Epoch: 6 [5888/48750]	Loss: 0.1424	LR: 0.100000
Training Epoch: 6 [6144/48750]	Loss: 0.1773	LR: 0.100000
Training Epoch: 6 [6400/48750]	Loss: 0.2089	LR: 0.100000
Training Epoch: 6 [6656/48750]	Loss: 0.1531	LR: 0.100000
Training Epoch: 6 [6912/48750]	Loss: 0.1569	LR: 0.100000
Training Epoch: 6 [7168/48750]	Loss: 0.1943	LR: 0.100000
Training Epoch: 6 [7424/48750]	Loss: 0.2285	LR: 0.100000
Training Epoch: 6 [7680/48750]	Loss: 0.1127	LR: 0.100000
Training Epoch: 6 [7936/48750]	Loss: 0.2137	LR: 0.100000
Training Epoch: 6 [8192/48750]	Loss: 0.0965	LR: 0.100000
Training Epoch: 6 [8448/48750]	Loss: 0.2156	LR: 0.100000
Training Epoch: 6 [8704/48750]	Loss: 0.2000	LR: 0.100000
Training Epoch: 6 [8960/48750]	Loss: 0.1987	LR: 0.100000
Training Epoch: 6 [9216/48750]	Loss: 0.2227	LR: 0.100000
Training Epoch: 6 [9472/48750]	Loss: 0.1067	LR: 0.100000
Training Epoch: 6 [9728/48750]	Loss: 0.1842	LR: 0.100000
Training Epoch: 6 [9984/48750]	Loss: 0.2117	LR: 0.100000
Training Epoch: 6 [10240/48750]	Loss: 0.2369	LR: 0.100000
Training Epoch: 6 [10496/48750]	Loss: 0.1410	LR: 0.100000
Training Epoch: 6 [10752/48750]	Loss: 0.1281	LR: 0.100000
Training Epoch: 6 [11008/48750]	Loss: 0.2158	LR: 0.100000
Training Epoch: 6 [11264/48750]	Loss: 0.1989	LR: 0.100000
Training Epoch: 6 [11520/48750]	Loss: 0.1353	LR: 0.100000
Training Epoch: 6 [11776/48750]	Loss: 0.1578	LR: 0.100000
Training Epoch: 6 [12032/48750]	Loss: 0.1852	LR: 0.100000
Training Epoch: 6 [12288/48750]	Loss: 0.1031	LR: 0.100000
Training Epoch: 6 [12544/48750]	Loss: 0.1733	LR: 0.100000
Training Epoch: 6 [12800/48750]	Loss: 0.2548	LR: 0.100000
Training Epoch: 6 [13056/48750]	Loss: 0.1269	LR: 0.100000
Training Epoch: 6 [13312/48750]	Loss: 0.1297	LR: 0.100000
Training Epoch: 6 [13568/48750]	Loss: 0.1697	LR: 0.100000
Training Epoch: 6 [13824/48750]	Loss: 0.1743	LR: 0.100000
Training Epoch: 6 [14080/48750]	Loss: 0.1335	LR: 0.100000
Training Epoch: 6 [14336/48750]	Loss: 0.1590	LR: 0.100000
Training Epoch: 6 [14592/48750]	Loss: 0.1143	LR: 0.100000
Training Epoch: 6 [14848/48750]	Loss: 0.1324	LR: 0.100000
Training Epoch: 6 [15104/48750]	Loss: 0.1613	LR: 0.100000
Training Epoch: 6 [15360/48750]	Loss: 0.1308	LR: 0.100000
Training Epoch: 6 [15616/48750]	Loss: 0.1784	LR: 0.100000
Training Epoch: 6 [15872/48750]	Loss: 0.1667	LR: 0.100000
Training Epoch: 6 [16128/48750]	Loss: 0.2033	LR: 0.100000
Training Epoch: 6 [16384/48750]	Loss: 0.2309	LR: 0.100000
Training Epoch: 6 [16640/48750]	Loss: 0.2669	LR: 0.100000
Training Epoch: 6 [16896/48750]	Loss: 0.2256	LR: 0.100000
Training Epoch: 6 [17152/48750]	Loss: 0.1419	LR: 0.100000
Training Epoch: 6 [17408/48750]	Loss: 0.2076	LR: 0.100000
Training Epoch: 6 [17664/48750]	Loss: 0.2806	LR: 0.100000
Training Epoch: 6 [17920/48750]	Loss: 0.1695	LR: 0.100000
Training Epoch: 6 [18176/48750]	Loss: 0.0716	LR: 0.100000
Training Epoch: 6 [18432/48750]	Loss: 0.1784	LR: 0.100000
Training Epoch: 6 [18688/48750]	Loss: 0.1743	LR: 0.100000
Training Epoch: 6 [18944/48750]	Loss: 0.1380	LR: 0.100000
Training Epoch: 6 [19200/48750]	Loss: 0.1577	LR: 0.100000
Training Epoch: 6 [19456/48750]	Loss: 0.1566	LR: 0.100000
Training Epoch: 6 [19712/48750]	Loss: 0.1241	LR: 0.100000
Training Epoch: 6 [19968/48750]	Loss: 0.2122	LR: 0.100000
Training Epoch: 6 [20224/48750]	Loss: 0.1216	LR: 0.100000
Training Epoch: 6 [20480/48750]	Loss: 0.0974	LR: 0.100000
Training Epoch: 6 [20736/48750]	Loss: 0.1560	LR: 0.100000
Training Epoch: 6 [20992/48750]	Loss: 0.1385	LR: 0.100000
Training Epoch: 6 [21248/48750]	Loss: 0.1831	LR: 0.100000
Training Epoch: 6 [21504/48750]	Loss: 0.1312	LR: 0.100000
Training Epoch: 6 [21760/48750]	Loss: 0.1456	LR: 0.100000
Training Epoch: 6 [22016/48750]	Loss: 0.1559	LR: 0.100000
Training Epoch: 6 [22272/48750]	Loss: 0.1555	LR: 0.100000
Training Epoch: 6 [22528/48750]	Loss: 0.2473	LR: 0.100000
Training Epoch: 6 [22784/48750]	Loss: 0.1198	LR: 0.100000
Training Epoch: 6 [23040/48750]	Loss: 0.1805	LR: 0.100000
Training Epoch: 6 [23296/48750]	Loss: 0.1358	LR: 0.100000
Training Epoch: 6 [23552/48750]	Loss: 0.1197	LR: 0.100000
Training Epoch: 6 [23808/48750]	Loss: 0.2525	LR: 0.100000
Training Epoch: 6 [24064/48750]	Loss: 0.1970	LR: 0.100000
Training Epoch: 6 [24320/48750]	Loss: 0.1347	LR: 0.100000
Training Epoch: 6 [24576/48750]	Loss: 0.1428	LR: 0.100000
Training Epoch: 6 [24832/48750]	Loss: 0.2380	LR: 0.100000
Training Epoch: 6 [25088/48750]	Loss: 0.1593	LR: 0.100000
Training Epoch: 6 [25344/48750]	Loss: 0.2382	LR: 0.100000
Training Epoch: 6 [25600/48750]	Loss: 0.1857	LR: 0.100000
Training Epoch: 6 [25856/48750]	Loss: 0.1663	LR: 0.100000
Training Epoch: 6 [26112/48750]	Loss: 0.1664	LR: 0.100000
Training Epoch: 6 [26368/48750]	Loss: 0.1675	LR: 0.100000
Training Epoch: 6 [26624/48750]	Loss: 0.0679	LR: 0.100000
Training Epoch: 6 [26880/48750]	Loss: 0.1893	LR: 0.100000
Training Epoch: 6 [27136/48750]	Loss: 0.1636	LR: 0.100000
Training Epoch: 6 [27392/48750]	Loss: 0.1914	LR: 0.100000
Training Epoch: 6 [27648/48750]	Loss: 0.1306	LR: 0.100000
Training Epoch: 6 [27904/48750]	Loss: 0.1934	LR: 0.100000
Training Epoch: 6 [28160/48750]	Loss: 0.1584	LR: 0.100000
Training Epoch: 6 [28416/48750]	Loss: 0.1994	LR: 0.100000
Training Epoch: 6 [28672/48750]	Loss: 0.2300	LR: 0.100000
Training Epoch: 6 [28928/48750]	Loss: 0.1285	LR: 0.100000
Training Epoch: 6 [29184/48750]	Loss: 0.2582	LR: 0.100000
Training Epoch: 6 [29440/48750]	Loss: 0.1630	LR: 0.100000
Training Epoch: 6 [29696/48750]	Loss: 0.1914	LR: 0.100000
Training Epoch: 6 [29952/48750]	Loss: 0.1788	LR: 0.100000
Training Epoch: 6 [30208/48750]	Loss: 0.1974	LR: 0.100000
Training Epoch: 6 [30464/48750]	Loss: 0.1221	LR: 0.100000
Training Epoch: 6 [30720/48750]	Loss: 0.1738	LR: 0.100000
Training Epoch: 6 [30976/48750]	Loss: 0.1919	LR: 0.100000
Training Epoch: 6 [31232/48750]	Loss: 0.1855	LR: 0.100000
Training Epoch: 6 [31488/48750]	Loss: 0.1888	LR: 0.100000
Training Epoch: 6 [31744/48750]	Loss: 0.1628	LR: 0.100000
Training Epoch: 6 [32000/48750]	Loss: 0.1408	LR: 0.100000
Training Epoch: 6 [32256/48750]	Loss: 0.1890	LR: 0.100000
Training Epoch: 6 [32512/48750]	Loss: 0.1837	LR: 0.100000
Training Epoch: 6 [32768/48750]	Loss: 0.2322	LR: 0.100000
Training Epoch: 6 [33024/48750]	Loss: 0.2650	LR: 0.100000
Training Epoch: 6 [33280/48750]	Loss: 0.1704	LR: 0.100000
Training Epoch: 6 [33536/48750]	Loss: 0.2062	LR: 0.100000
Training Epoch: 6 [33792/48750]	Loss: 0.1892	LR: 0.100000
Training Epoch: 6 [34048/48750]	Loss: 0.1823	LR: 0.100000
Training Epoch: 6 [34304/48750]	Loss: 0.2120	LR: 0.100000
Training Epoch: 6 [34560/48750]	Loss: 0.1368	LR: 0.100000
Training Epoch: 6 [34816/48750]	Loss: 0.2410	LR: 0.100000
Training Epoch: 6 [35072/48750]	Loss: 0.2492	LR: 0.100000
Training Epoch: 6 [35328/48750]	Loss: 0.2689	LR: 0.100000
Training Epoch: 6 [35584/48750]	Loss: 0.2274	LR: 0.100000
Training Epoch: 6 [35840/48750]	Loss: 0.2767	LR: 0.100000
Training Epoch: 6 [36096/48750]	Loss: 0.2134	LR: 0.100000
Training Epoch: 6 [36352/48750]	Loss: 0.1959	LR: 0.100000
Training Epoch: 6 [36608/48750]	Loss: 0.2136	LR: 0.100000
Training Epoch: 6 [36864/48750]	Loss: 0.2676	LR: 0.100000
Training Epoch: 6 [37120/48750]	Loss: 0.2260	LR: 0.100000
Training Epoch: 6 [37376/48750]	Loss: 0.2125	LR: 0.100000
Training Epoch: 6 [37632/48750]	Loss: 0.1712	LR: 0.100000
Training Epoch: 6 [37888/48750]	Loss: 0.3665	LR: 0.100000
Training Epoch: 6 [38144/48750]	Loss: 0.1588	LR: 0.100000
Training Epoch: 6 [38400/48750]	Loss: 0.1356	LR: 0.100000
Training Epoch: 6 [38656/48750]	Loss: 0.1894	LR: 0.100000
Training Epoch: 6 [38912/48750]	Loss: 0.2680	LR: 0.100000
Training Epoch: 6 [39168/48750]	Loss: 0.1398	LR: 0.100000
Training Epoch: 6 [39424/48750]	Loss: 0.1629	LR: 0.100000
Training Epoch: 6 [39680/48750]	Loss: 0.2456	LR: 0.100000
Training Epoch: 6 [39936/48750]	Loss: 0.1251	LR: 0.100000
Training Epoch: 6 [40192/48750]	Loss: 0.1871	LR: 0.100000
Training Epoch: 6 [40448/48750]	Loss: 0.1094	LR: 0.100000
Training Epoch: 6 [40704/48750]	Loss: 0.1411	LR: 0.100000
Training Epoch: 6 [40960/48750]	Loss: 0.1773	LR: 0.100000
Training Epoch: 6 [41216/48750]	Loss: 0.2528	LR: 0.100000
Training Epoch: 6 [41472/48750]	Loss: 0.1629	LR: 0.100000
Training Epoch: 6 [41728/48750]	Loss: 0.2151	LR: 0.100000
Training Epoch: 6 [41984/48750]	Loss: 0.1681	LR: 0.100000
Training Epoch: 6 [42240/48750]	Loss: 0.1734	LR: 0.100000
Training Epoch: 6 [42496/48750]	Loss: 0.2230	LR: 0.100000
Training Epoch: 6 [42752/48750]	Loss: 0.1728	LR: 0.100000
Training Epoch: 6 [43008/48750]	Loss: 0.1574	LR: 0.100000
Training Epoch: 6 [43264/48750]	Loss: 0.1599	LR: 0.100000
Training Epoch: 6 [43520/48750]	Loss: 0.1690	LR: 0.100000
Training Epoch: 6 [43776/48750]	Loss: 0.1810	LR: 0.100000
Training Epoch: 6 [44032/48750]	Loss: 0.1505	LR: 0.100000
Training Epoch: 6 [44288/48750]	Loss: 0.2606	LR: 0.100000
Training Epoch: 6 [44544/48750]	Loss: 0.1396	LR: 0.100000
Training Epoch: 6 [44800/48750]	Loss: 0.0715	LR: 0.100000
Training Epoch: 6 [45056/48750]	Loss: 0.1918	LR: 0.100000
Training Epoch: 6 [45312/48750]	Loss: 0.1001	LR: 0.100000
Training Epoch: 6 [45568/48750]	Loss: 0.1749	LR: 0.100000
Training Epoch: 6 [45824/48750]	Loss: 0.1563	LR: 0.100000
Training Epoch: 6 [46080/48750]	Loss: 0.1687	LR: 0.100000
Training Epoch: 6 [46336/48750]	Loss: 0.2115	LR: 0.100000
Training Epoch: 6 [46592/48750]	Loss: 0.1693	LR: 0.100000
Training Epoch: 6 [46848/48750]	Loss: 0.2124	LR: 0.100000
Training Epoch: 6 [47104/48750]	Loss: 0.1907	LR: 0.100000
Training Epoch: 6 [47360/48750]	Loss: 0.2324	LR: 0.100000
Training Epoch: 6 [47616/48750]	Loss: 0.3344	LR: 0.100000
Training Epoch: 6 [47872/48750]	Loss: 0.2762	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.1461	LR: 0.100000
Training Epoch: 6 [48384/48750]	Loss: 0.3182	LR: 0.100000
Training Epoch: 6 [48640/48750]	Loss: 0.1705	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.2710	LR: 0.100000
Epoch 6 - Average Train Loss: 0.1795, Train Accuracy: 0.9371
Epoch 6 training time consumed: 351.92s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0007, Accuracy: 0.9408, Time consumed:23.49s
Training Epoch: 7 [256/48750]	Loss: 0.2527	LR: 0.020000
Training Epoch: 7 [512/48750]	Loss: 0.1255	LR: 0.020000
Training Epoch: 7 [768/48750]	Loss: 0.1343	LR: 0.020000
Training Epoch: 7 [1024/48750]	Loss: 0.1265	LR: 0.020000
Training Epoch: 7 [1280/48750]	Loss: 0.1313	LR: 0.020000
Training Epoch: 7 [1536/48750]	Loss: 0.1406	LR: 0.020000
Training Epoch: 7 [1792/48750]	Loss: 0.1520	LR: 0.020000
Training Epoch: 7 [2048/48750]	Loss: 0.0905	LR: 0.020000
Training Epoch: 7 [2304/48750]	Loss: 0.0590	LR: 0.020000
Training Epoch: 7 [2560/48750]	Loss: 0.1171	LR: 0.020000
Training Epoch: 7 [2816/48750]	Loss: 0.1480	LR: 0.020000
Training Epoch: 7 [3072/48750]	Loss: 0.1092	LR: 0.020000
Training Epoch: 7 [3328/48750]	Loss: 0.1016	LR: 0.020000
Training Epoch: 7 [3584/48750]	Loss: 0.1156	LR: 0.020000
Training Epoch: 7 [3840/48750]	Loss: 0.0887	LR: 0.020000
Training Epoch: 7 [4096/48750]	Loss: 0.1021	LR: 0.020000
Training Epoch: 7 [4352/48750]	Loss: 0.0600	LR: 0.020000
Training Epoch: 7 [4608/48750]	Loss: 0.1018	LR: 0.020000
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Training Epoch: 7 [45056/48750]	Loss: 0.0601	LR: 0.020000
Training Epoch: 7 [45312/48750]	Loss: 0.0393	LR: 0.020000
Training Epoch: 7 [45568/48750]	Loss: 0.0692	LR: 0.020000
Training Epoch: 7 [45824/48750]	Loss: 0.0310	LR: 0.020000
Training Epoch: 7 [46080/48750]	Loss: 0.0703	LR: 0.020000
Training Epoch: 7 [46336/48750]	Loss: 0.0644	LR: 0.020000
Training Epoch: 7 [46592/48750]	Loss: 0.0379	LR: 0.020000
Training Epoch: 7 [46848/48750]	Loss: 0.0328	LR: 0.020000
Training Epoch: 7 [47104/48750]	Loss: 0.0400	LR: 0.020000
Training Epoch: 7 [47360/48750]	Loss: 0.0683	LR: 0.020000
Training Epoch: 7 [47616/48750]	Loss: 0.0550	LR: 0.020000
Training Epoch: 7 [47872/48750]	Loss: 0.0443	LR: 0.020000
Training Epoch: 7 [48128/48750]	Loss: 0.0397	LR: 0.020000
Training Epoch: 7 [48384/48750]	Loss: 0.0315	LR: 0.020000
Training Epoch: 7 [48640/48750]	Loss: 0.0387	LR: 0.020000
Training Epoch: 7 [48750/48750]	Loss: 0.0203	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0612, Train Accuracy: 0.9789
Epoch 7 training time consumed: 351.54s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0004, Accuracy: 0.9717, Time consumed:23.47s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_19h_56m_34s/ViT-Cifar10-seed5-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0297	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.0434	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.0654	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.0251	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.0460	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.0952	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.0358	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.0388	LR: 0.020000
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Training Epoch: 8 [2560/48750]	Loss: 0.0709	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.0587	LR: 0.020000
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Training Epoch: 8 [3328/48750]	Loss: 0.0331	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.0830	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.0134	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.0301	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.0476	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.0780	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.0528	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.0746	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.0656	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.0140	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.0570	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.0397	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.0322	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.0483	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.0131	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.0490	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.0641	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.0652	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.0637	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.0208	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.0574	LR: 0.020000
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Training Epoch: 8 [9984/48750]	Loss: 0.0350	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.0172	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.0195	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.0409	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.0214	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.0263	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.0602	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.0646	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.0335	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.0244	LR: 0.020000
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Training Epoch: 8 [12800/48750]	Loss: 0.0424	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.0511	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.0449	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.0374	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.0415	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.0328	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.0219	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.0332	LR: 0.020000
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Training Epoch: 8 [15872/48750]	Loss: 0.0186	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.0765	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.0204	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.0686	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.0366	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.0382	LR: 0.020000
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Training Epoch: 8 [19456/48750]	Loss: 0.0285	LR: 0.020000
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Training Epoch: 8 [20224/48750]	Loss: 0.0166	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.0701	LR: 0.020000
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Training Epoch: 8 [22016/48750]	Loss: 0.0282	LR: 0.020000
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Training Epoch: 8 [22528/48750]	Loss: 0.0244	LR: 0.020000
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Training Epoch: 8 [23040/48750]	Loss: 0.0363	LR: 0.020000
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Training Epoch: 8 [23552/48750]	Loss: 0.0592	LR: 0.020000
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Training Epoch: 8 [24320/48750]	Loss: 0.0263	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.0138	LR: 0.020000
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Training Epoch: 8 [26368/48750]	Loss: 0.0499	LR: 0.020000
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Training Epoch: 8 [27136/48750]	Loss: 0.0414	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.0237	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.0704	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.0124	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.0527	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.0240	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.0276	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.0451	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.0218	LR: 0.020000
Training Epoch: 8 [29440/48750]	Loss: 0.0293	LR: 0.020000
Training Epoch: 8 [29696/48750]	Loss: 0.0484	LR: 0.020000
Training Epoch: 8 [29952/48750]	Loss: 0.0136	LR: 0.020000
Training Epoch: 8 [30208/48750]	Loss: 0.0173	LR: 0.020000
Training Epoch: 8 [30464/48750]	Loss: 0.0331	LR: 0.020000
Training Epoch: 8 [30720/48750]	Loss: 0.0461	LR: 0.020000
Training Epoch: 8 [30976/48750]	Loss: 0.0358	LR: 0.020000
Training Epoch: 8 [31232/48750]	Loss: 0.0397	LR: 0.020000
Training Epoch: 8 [31488/48750]	Loss: 0.0227	LR: 0.020000
Training Epoch: 8 [31744/48750]	Loss: 0.0625	LR: 0.020000
Training Epoch: 8 [32000/48750]	Loss: 0.0680	LR: 0.020000
Training Epoch: 8 [32256/48750]	Loss: 0.0689	LR: 0.020000
Training Epoch: 8 [32512/48750]	Loss: 0.0231	LR: 0.020000
Training Epoch: 8 [32768/48750]	Loss: 0.0201	LR: 0.020000
Training Epoch: 8 [33024/48750]	Loss: 0.0304	LR: 0.020000
Training Epoch: 8 [33280/48750]	Loss: 0.0539	LR: 0.020000
Training Epoch: 8 [33536/48750]	Loss: 0.0275	LR: 0.020000
Training Epoch: 8 [33792/48750]	Loss: 0.0306	LR: 0.020000
Training Epoch: 8 [34048/48750]	Loss: 0.0691	LR: 0.020000
Training Epoch: 8 [34304/48750]	Loss: 0.0080	LR: 0.020000
Training Epoch: 8 [34560/48750]	Loss: 0.0273	LR: 0.020000
Training Epoch: 8 [34816/48750]	Loss: 0.0672	LR: 0.020000
Training Epoch: 8 [35072/48750]	Loss: 0.0278	LR: 0.020000
Training Epoch: 8 [35328/48750]	Loss: 0.0440	LR: 0.020000
Training Epoch: 8 [35584/48750]	Loss: 0.0481	LR: 0.020000
Training Epoch: 8 [35840/48750]	Loss: 0.0407	LR: 0.020000
Training Epoch: 8 [36096/48750]	Loss: 0.0096	LR: 0.020000
Training Epoch: 8 [36352/48750]	Loss: 0.0335	LR: 0.020000
Training Epoch: 8 [36608/48750]	Loss: 0.0460	LR: 0.020000
Training Epoch: 8 [36864/48750]	Loss: 0.0476	LR: 0.020000
Training Epoch: 8 [37120/48750]	Loss: 0.0492	LR: 0.020000
Training Epoch: 8 [37376/48750]	Loss: 0.0258	LR: 0.020000
Training Epoch: 8 [37632/48750]	Loss: 0.0471	LR: 0.020000
Training Epoch: 8 [37888/48750]	Loss: 0.0435	LR: 0.020000
Training Epoch: 8 [38144/48750]	Loss: 0.0341	LR: 0.020000
Training Epoch: 8 [38400/48750]	Loss: 0.0383	LR: 0.020000
Training Epoch: 8 [38656/48750]	Loss: 0.0243	LR: 0.020000
Training Epoch: 8 [38912/48750]	Loss: 0.0293	LR: 0.020000
Training Epoch: 8 [39168/48750]	Loss: 0.0385	LR: 0.020000
Training Epoch: 8 [39424/48750]	Loss: 0.0343	LR: 0.020000
Training Epoch: 8 [39680/48750]	Loss: 0.0183	LR: 0.020000
Training Epoch: 8 [39936/48750]	Loss: 0.0508	LR: 0.020000
Training Epoch: 8 [40192/48750]	Loss: 0.0782	LR: 0.020000
Training Epoch: 8 [40448/48750]	Loss: 0.0189	LR: 0.020000
Training Epoch: 8 [40704/48750]	Loss: 0.0688	LR: 0.020000
Training Epoch: 8 [40960/48750]	Loss: 0.0723	LR: 0.020000
Training Epoch: 8 [41216/48750]	Loss: 0.0280	LR: 0.020000
Training Epoch: 8 [41472/48750]	Loss: 0.0468	LR: 0.020000
Training Epoch: 8 [41728/48750]	Loss: 0.0225	LR: 0.020000
Training Epoch: 8 [41984/48750]	Loss: 0.0680	LR: 0.020000
Training Epoch: 8 [42240/48750]	Loss: 0.0809	LR: 0.020000
Training Epoch: 8 [42496/48750]	Loss: 0.0555	LR: 0.020000
Training Epoch: 8 [42752/48750]	Loss: 0.0426	LR: 0.020000
Training Epoch: 8 [43008/48750]	Loss: 0.0509	LR: 0.020000
Training Epoch: 8 [43264/48750]	Loss: 0.0444	LR: 0.020000
Training Epoch: 8 [43520/48750]	Loss: 0.0517	LR: 0.020000
Training Epoch: 8 [43776/48750]	Loss: 0.0148	LR: 0.020000
Training Epoch: 8 [44032/48750]	Loss: 0.0153	LR: 0.020000
Training Epoch: 8 [44288/48750]	Loss: 0.0205	LR: 0.020000
Training Epoch: 8 [44544/48750]	Loss: 0.0245	LR: 0.020000
Training Epoch: 8 [44800/48750]	Loss: 0.0473	LR: 0.020000
Training Epoch: 8 [45056/48750]	Loss: 0.0500	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.0690	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.0561	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.0335	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.0664	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.0066	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.0134	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.0385	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.0733	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.0304	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.0194	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.0162	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.0566	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.0505	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.0595	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.0402	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0412, Train Accuracy: 0.9857
Epoch 8 training time consumed: 351.49s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0003, Accuracy: 0.9744, Time consumed:23.48s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_19h_56m_34s/ViT-Cifar10-seed5-ret75-8-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48750
Forget Train Dl:  1250
Retain Valid Dl:  48750
Forget Valid Dl:  1250
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 1250 samples
Set2 Distribution: 1250 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 97.5
Retain Accuracy: 99.04428100585938
Zero-Retain Forget (ZRF): 0.765099048614502
Membership Inference Attack (MIA): 0.8312
Forget vs Retain Membership Inference Attack (MIA): 0.49
Forget vs Test Membership Inference Attack (MIA): 0.508
Test vs Retain Membership Inference Attack (MIA): 0.50575
Train vs Test Membership Inference Attack (MIA): 0.52125
Forget Set Accuracy (Df): 96.17740631103516
Method Execution Time: 5419.38 seconds
