hello
hello

📌S Retain class distribution for seed 6:
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 6:
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: 2.4259	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.3839	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.3312	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3045	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3165	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.1938	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.0941	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 1.9126	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 1.7003	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 1.5469	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 1.2790	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 1.1133	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 0.7909	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 0.6439	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 0.4883	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 0.4390	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 0.3382	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 0.2875	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 0.2257	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 0.1496	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 0.2624	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 0.2737	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 0.2860	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 0.2658	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 0.1647	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 0.1923	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 0.1670	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 0.1052	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 0.2052	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 0.1470	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 0.2116	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 0.1990	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 0.0861	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 0.2526	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 0.1745	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 0.1899	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 0.0977	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 0.2380	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 0.3042	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 0.1475	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 0.1758	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 0.2616	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 0.2446	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 0.2583	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 0.4016	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 0.4128	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 0.2624	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 0.2697	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 0.2819	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 0.3313	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 0.3689	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 0.2258	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 0.2698	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 0.3560	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 0.2859	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 0.2108	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 0.2922	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 0.2912	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 0.1804	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 0.2541	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 0.3165	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 0.1738	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 0.2241	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 0.2415	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 0.2730	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 0.2062	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 0.1882	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 0.2234	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 0.1729	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 0.1247	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 0.1658	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 0.2940	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 0.2595	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 0.2481	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 0.3588	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 0.3363	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 0.4342	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 0.2350	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 0.2995	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 0.3255	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 0.2883	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 0.2069	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 0.3833	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 0.2274	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 0.3637	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 0.3261	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 0.1703	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 0.3210	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 0.1933	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 0.2890	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 0.1550	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 0.2307	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 0.2049	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 0.2523	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 0.2136	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 0.1809	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 0.2003	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 0.2648	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 0.2484	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 0.1838	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 0.2218	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 0.2781	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 0.2143	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 0.2398	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 0.1444	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 0.1584	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 0.2252	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 0.2446	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 0.1980	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 0.2869	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 0.1305	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 0.2014	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 0.2043	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 0.1354	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 0.1730	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 0.1859	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 0.2375	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 0.2603	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 0.1717	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 0.1639	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 0.3505	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 0.1536	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 0.1395	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 0.2713	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 0.1587	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 0.1712	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 0.2282	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 0.1768	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 0.2082	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 0.3021	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 0.2242	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 0.1264	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 0.1793	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 0.2161	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 0.2157	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 0.2213	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 0.3830	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 0.2334	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 0.1774	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 0.2385	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 0.1845	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 0.2007	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 0.2542	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 0.2798	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 0.1994	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 0.1720	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 0.4548	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 0.1987	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 0.3286	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 0.2911	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 0.2789	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 0.3381	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 0.2644	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 0.3381	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 0.3193	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 0.2586	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 0.2425	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 0.1876	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 0.3406	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 0.2613	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 0.2123	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 0.1930	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 0.4181	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 0.2161	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 0.4582	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 0.2636	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 0.2556	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 0.3408	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 0.2297	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 0.3599	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 0.3056	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 0.2361	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 0.3433	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 0.3259	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 0.3082	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 0.3034	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 0.2136	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 0.3699	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 0.2591	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 0.2507	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 0.1565	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 0.2981	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 0.3636	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 0.3058	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 0.2804	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 0.2678	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 0.4586	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 0.2627	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 0.4132	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 0.3331	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 0.2284	LR: 0.099476
Epoch 1 - Average Train Loss: 0.3651, Train Accuracy: 0.8838
Epoch 1 training time consumed: 352.60s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0013, Accuracy: 0.8935, Time consumed:23.50s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_21h_27m_13s/ViT-Cifar10-seed6-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 0.4309	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 0.2738	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 0.3078	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 0.3591	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 0.1896	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 0.3179	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 0.2736	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 0.2123	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 0.2774	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 0.4187	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 0.1904	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 0.3941	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 0.2595	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 0.3055	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 0.4012	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 0.2260	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 0.3287	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 0.3215	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 0.2870	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 0.3302	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 0.2936	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 0.2941	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 0.3785	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 0.2030	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 0.3848	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 0.3116	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 0.3352	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 0.4167	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 0.2823	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 0.2312	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 0.3592	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 0.2226	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 0.2786	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 0.3086	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 0.2021	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 0.1850	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 0.2303	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 0.2987	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 0.2711	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 0.1913	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 0.4291	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 0.2708	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 0.3177	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 0.2167	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 0.2564	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 0.2569	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 0.3397	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 0.1971	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 0.2986	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 0.2235	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 0.2113	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 0.2511	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 0.2749	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 0.1833	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 0.2410	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 0.1948	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 0.1670	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 0.2535	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 0.2018	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 0.1862	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 0.1468	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 0.1644	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 0.1709	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 0.2345	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 0.2113	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 0.1571	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 0.1982	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 0.2108	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 0.2498	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 0.1131	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 0.2089	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 0.2162	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 0.2348	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 0.1883	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 0.1868	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 0.1458	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 0.2372	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 0.2153	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 0.1554	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 0.1873	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 0.1580	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 0.1304	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 0.1695	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.1812	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 0.2188	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2199, Train Accuracy: 0.9258
Epoch 2 training time consumed: 351.48s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0005, Accuracy: 0.9603, Time consumed:23.48s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_21h_27m_13s/ViT-Cifar10-seed6-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.1635	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.1074	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.2807	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.1489	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1618, Train Accuracy: 0.9456
Epoch 3 training time consumed: 351.96s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0005, Accuracy: 0.9540, Time consumed:23.47s
Training Epoch: 4 [256/48750]	Loss: 0.0903	LR: 0.100000
Training Epoch: 4 [512/48750]	Loss: 0.1738	LR: 0.100000
Training Epoch: 4 [768/48750]	Loss: 0.1534	LR: 0.100000
Training Epoch: 4 [1024/48750]	Loss: 0.2307	LR: 0.100000
Training Epoch: 4 [1280/48750]	Loss: 0.1106	LR: 0.100000
Training Epoch: 4 [1536/48750]	Loss: 0.1325	LR: 0.100000
Training Epoch: 4 [1792/48750]	Loss: 0.1327	LR: 0.100000
Training Epoch: 4 [2048/48750]	Loss: 0.1867	LR: 0.100000
Training Epoch: 4 [2304/48750]	Loss: 0.1137	LR: 0.100000
Training Epoch: 4 [2560/48750]	Loss: 0.1052	LR: 0.100000
Training Epoch: 4 [2816/48750]	Loss: 0.1935	LR: 0.100000
Training Epoch: 4 [3072/48750]	Loss: 0.2332	LR: 0.100000
Training Epoch: 4 [3328/48750]	Loss: 0.1191	LR: 0.100000
Training Epoch: 4 [3584/48750]	Loss: 0.0924	LR: 0.100000
Training Epoch: 4 [3840/48750]	Loss: 0.1030	LR: 0.100000
Training Epoch: 4 [4096/48750]	Loss: 0.1902	LR: 0.100000
Training Epoch: 4 [4352/48750]	Loss: 0.1813	LR: 0.100000
Training Epoch: 4 [4608/48750]	Loss: 0.1321	LR: 0.100000
Training Epoch: 4 [4864/48750]	Loss: 0.0989	LR: 0.100000
Training Epoch: 4 [5120/48750]	Loss: 0.1698	LR: 0.100000
Training Epoch: 4 [5376/48750]	Loss: 0.1224	LR: 0.100000
Training Epoch: 4 [5632/48750]	Loss: 0.1030	LR: 0.100000
Training Epoch: 4 [5888/48750]	Loss: 0.0894	LR: 0.100000
Training Epoch: 4 [6144/48750]	Loss: 0.1015	LR: 0.100000
Training Epoch: 4 [6400/48750]	Loss: 0.1722	LR: 0.100000
Training Epoch: 4 [6656/48750]	Loss: 0.1072	LR: 0.100000
Training Epoch: 4 [6912/48750]	Loss: 0.1121	LR: 0.100000
Training Epoch: 4 [7168/48750]	Loss: 0.0864	LR: 0.100000
Training Epoch: 4 [7424/48750]	Loss: 0.1327	LR: 0.100000
Training Epoch: 4 [7680/48750]	Loss: 0.1444	LR: 0.100000
Training Epoch: 4 [7936/48750]	Loss: 0.1419	LR: 0.100000
Training Epoch: 4 [8192/48750]	Loss: 0.1791	LR: 0.100000
Training Epoch: 4 [8448/48750]	Loss: 0.2046	LR: 0.100000
Training Epoch: 4 [8704/48750]	Loss: 0.0787	LR: 0.100000
Training Epoch: 4 [8960/48750]	Loss: 0.2205	LR: 0.100000
Training Epoch: 4 [9216/48750]	Loss: 0.1390	LR: 0.100000
Training Epoch: 4 [9472/48750]	Loss: 0.1553	LR: 0.100000
Training Epoch: 4 [9728/48750]	Loss: 0.1738	LR: 0.100000
Training Epoch: 4 [9984/48750]	Loss: 0.1254	LR: 0.100000
Training Epoch: 4 [10240/48750]	Loss: 0.0890	LR: 0.100000
Training Epoch: 4 [10496/48750]	Loss: 0.1674	LR: 0.100000
Training Epoch: 4 [10752/48750]	Loss: 0.1238	LR: 0.100000
Training Epoch: 4 [11008/48750]	Loss: 0.1099	LR: 0.100000
Training Epoch: 4 [11264/48750]	Loss: 0.1929	LR: 0.100000
Training Epoch: 4 [11520/48750]	Loss: 0.1073	LR: 0.100000
Training Epoch: 4 [11776/48750]	Loss: 0.1287	LR: 0.100000
Training Epoch: 4 [12032/48750]	Loss: 0.1421	LR: 0.100000
Training Epoch: 4 [12288/48750]	Loss: 0.1050	LR: 0.100000
Training Epoch: 4 [12544/48750]	Loss: 0.1247	LR: 0.100000
Training Epoch: 4 [12800/48750]	Loss: 0.0910	LR: 0.100000
Training Epoch: 4 [13056/48750]	Loss: 0.1218	LR: 0.100000
Training Epoch: 4 [13312/48750]	Loss: 0.2188	LR: 0.100000
Training Epoch: 4 [13568/48750]	Loss: 0.0869	LR: 0.100000
Training Epoch: 4 [13824/48750]	Loss: 0.1986	LR: 0.100000
Training Epoch: 4 [14080/48750]	Loss: 0.1444	LR: 0.100000
Training Epoch: 4 [14336/48750]	Loss: 0.1057	LR: 0.100000
Training Epoch: 4 [14592/48750]	Loss: 0.1530	LR: 0.100000
Training Epoch: 4 [14848/48750]	Loss: 0.1570	LR: 0.100000
Training Epoch: 4 [15104/48750]	Loss: 0.1577	LR: 0.100000
Training Epoch: 4 [15360/48750]	Loss: 0.1147	LR: 0.100000
Training Epoch: 4 [15616/48750]	Loss: 0.2225	LR: 0.100000
Training Epoch: 4 [15872/48750]	Loss: 0.1635	LR: 0.100000
Training Epoch: 4 [16128/48750]	Loss: 0.1203	LR: 0.100000
Training Epoch: 4 [16384/48750]	Loss: 0.1345	LR: 0.100000
Training Epoch: 4 [16640/48750]	Loss: 0.1319	LR: 0.100000
Training Epoch: 4 [16896/48750]	Loss: 0.1529	LR: 0.100000
Training Epoch: 4 [17152/48750]	Loss: 0.1833	LR: 0.100000
Training Epoch: 4 [17408/48750]	Loss: 0.1329	LR: 0.100000
Training Epoch: 4 [17664/48750]	Loss: 0.1257	LR: 0.100000
Training Epoch: 4 [17920/48750]	Loss: 0.2060	LR: 0.100000
Training Epoch: 4 [18176/48750]	Loss: 0.1381	LR: 0.100000
Training Epoch: 4 [18432/48750]	Loss: 0.1208	LR: 0.100000
Training Epoch: 4 [18688/48750]	Loss: 0.1817	LR: 0.100000
Training Epoch: 4 [18944/48750]	Loss: 0.0869	LR: 0.100000
Training Epoch: 4 [19200/48750]	Loss: 0.1526	LR: 0.100000
Training Epoch: 4 [19456/48750]	Loss: 0.1899	LR: 0.100000
Training Epoch: 4 [19712/48750]	Loss: 0.1828	LR: 0.100000
Training Epoch: 4 [19968/48750]	Loss: 0.1213	LR: 0.100000
Training Epoch: 4 [20224/48750]	Loss: 0.1558	LR: 0.100000
Training Epoch: 4 [20480/48750]	Loss: 0.1121	LR: 0.100000
Training Epoch: 4 [20736/48750]	Loss: 0.1264	LR: 0.100000
Training Epoch: 4 [20992/48750]	Loss: 0.1162	LR: 0.100000
Training Epoch: 4 [21248/48750]	Loss: 0.1081	LR: 0.100000
Training Epoch: 4 [21504/48750]	Loss: 0.0925	LR: 0.100000
Training Epoch: 4 [21760/48750]	Loss: 0.0623	LR: 0.100000
Training Epoch: 4 [22016/48750]	Loss: 0.1324	LR: 0.100000
Training Epoch: 4 [22272/48750]	Loss: 0.1729	LR: 0.100000
Training Epoch: 4 [22528/48750]	Loss: 0.1442	LR: 0.100000
Training Epoch: 4 [22784/48750]	Loss: 0.1392	LR: 0.100000
Training Epoch: 4 [23040/48750]	Loss: 0.1132	LR: 0.100000
Training Epoch: 4 [23296/48750]	Loss: 0.1350	LR: 0.100000
Training Epoch: 4 [23552/48750]	Loss: 0.2132	LR: 0.100000
Training Epoch: 4 [23808/48750]	Loss: 0.2077	LR: 0.100000
Training Epoch: 4 [24064/48750]	Loss: 0.1205	LR: 0.100000
Training Epoch: 4 [24320/48750]	Loss: 0.1589	LR: 0.100000
Training Epoch: 4 [24576/48750]	Loss: 0.1677	LR: 0.100000
Training Epoch: 4 [24832/48750]	Loss: 0.1599	LR: 0.100000
Training Epoch: 4 [25088/48750]	Loss: 0.0877	LR: 0.100000
Training Epoch: 4 [25344/48750]	Loss: 0.1815	LR: 0.100000
Training Epoch: 4 [25600/48750]	Loss: 0.2008	LR: 0.100000
Training Epoch: 4 [25856/48750]	Loss: 0.1426	LR: 0.100000
Training Epoch: 4 [26112/48750]	Loss: 0.2212	LR: 0.100000
Training Epoch: 4 [26368/48750]	Loss: 0.1135	LR: 0.100000
Training Epoch: 4 [26624/48750]	Loss: 0.1564	LR: 0.100000
Training Epoch: 4 [26880/48750]	Loss: 0.1093	LR: 0.100000
Training Epoch: 4 [27136/48750]	Loss: 0.1628	LR: 0.100000
Training Epoch: 4 [27392/48750]	Loss: 0.1398	LR: 0.100000
Training Epoch: 4 [27648/48750]	Loss: 0.1126	LR: 0.100000
Training Epoch: 4 [27904/48750]	Loss: 0.1144	LR: 0.100000
Training Epoch: 4 [28160/48750]	Loss: 0.2088	LR: 0.100000
Training Epoch: 4 [28416/48750]	Loss: 0.1105	LR: 0.100000
Training Epoch: 4 [28672/48750]	Loss: 0.1022	LR: 0.100000
Training Epoch: 4 [28928/48750]	Loss: 0.1211	LR: 0.100000
Training Epoch: 4 [29184/48750]	Loss: 0.0890	LR: 0.100000
Training Epoch: 4 [29440/48750]	Loss: 0.1180	LR: 0.100000
Training Epoch: 4 [29696/48750]	Loss: 0.1108	LR: 0.100000
Training Epoch: 4 [29952/48750]	Loss: 0.1075	LR: 0.100000
Training Epoch: 4 [30208/48750]	Loss: 0.1611	LR: 0.100000
Training Epoch: 4 [30464/48750]	Loss: 0.1617	LR: 0.100000
Training Epoch: 4 [30720/48750]	Loss: 0.2436	LR: 0.100000
Training Epoch: 4 [30976/48750]	Loss: 0.1681	LR: 0.100000
Training Epoch: 4 [31232/48750]	Loss: 0.2168	LR: 0.100000
Training Epoch: 4 [31488/48750]	Loss: 0.1210	LR: 0.100000
Training Epoch: 4 [31744/48750]	Loss: 0.1547	LR: 0.100000
Training Epoch: 4 [32000/48750]	Loss: 0.1778	LR: 0.100000
Training Epoch: 4 [32256/48750]	Loss: 0.1439	LR: 0.100000
Training Epoch: 4 [32512/48750]	Loss: 0.1515	LR: 0.100000
Training Epoch: 4 [32768/48750]	Loss: 0.1578	LR: 0.100000
Training Epoch: 4 [33024/48750]	Loss: 0.1407	LR: 0.100000
Training Epoch: 4 [33280/48750]	Loss: 0.1116	LR: 0.100000
Training Epoch: 4 [33536/48750]	Loss: 0.1977	LR: 0.100000
Training Epoch: 4 [33792/48750]	Loss: 0.1073	LR: 0.100000
Training Epoch: 4 [34048/48750]	Loss: 0.1326	LR: 0.100000
Training Epoch: 4 [34304/48750]	Loss: 0.1868	LR: 0.100000
Training Epoch: 4 [34560/48750]	Loss: 0.2100	LR: 0.100000
Training Epoch: 4 [34816/48750]	Loss: 0.1052	LR: 0.100000
Training Epoch: 4 [35072/48750]	Loss: 0.1616	LR: 0.100000
Training Epoch: 4 [35328/48750]	Loss: 0.2887	LR: 0.100000
Training Epoch: 4 [35584/48750]	Loss: 0.1730	LR: 0.100000
Training Epoch: 4 [35840/48750]	Loss: 0.1617	LR: 0.100000
Training Epoch: 4 [36096/48750]	Loss: 0.1970	LR: 0.100000
Training Epoch: 4 [36352/48750]	Loss: 0.1437	LR: 0.100000
Training Epoch: 4 [36608/48750]	Loss: 0.1166	LR: 0.100000
Training Epoch: 4 [36864/48750]	Loss: 0.1996	LR: 0.100000
Training Epoch: 4 [37120/48750]	Loss: 0.1956	LR: 0.100000
Training Epoch: 4 [37376/48750]	Loss: 0.2003	LR: 0.100000
Training Epoch: 4 [37632/48750]	Loss: 0.2036	LR: 0.100000
Training Epoch: 4 [37888/48750]	Loss: 0.1656	LR: 0.100000
Training Epoch: 4 [38144/48750]	Loss: 0.1573	LR: 0.100000
Training Epoch: 4 [38400/48750]	Loss: 0.1574	LR: 0.100000
Training Epoch: 4 [38656/48750]	Loss: 0.1351	LR: 0.100000
Training Epoch: 4 [38912/48750]	Loss: 0.2006	LR: 0.100000
Training Epoch: 4 [39168/48750]	Loss: 0.1432	LR: 0.100000
Training Epoch: 4 [39424/48750]	Loss: 0.1467	LR: 0.100000
Training Epoch: 4 [39680/48750]	Loss: 0.1214	LR: 0.100000
Training Epoch: 4 [39936/48750]	Loss: 0.1588	LR: 0.100000
Training Epoch: 4 [40192/48750]	Loss: 0.1415	LR: 0.100000
Training Epoch: 4 [40448/48750]	Loss: 0.1736	LR: 0.100000
Training Epoch: 4 [40704/48750]	Loss: 0.1068	LR: 0.100000
Training Epoch: 4 [40960/48750]	Loss: 0.1223	LR: 0.100000
Training Epoch: 4 [41216/48750]	Loss: 0.1738	LR: 0.100000
Training Epoch: 4 [41472/48750]	Loss: 0.1924	LR: 0.100000
Training Epoch: 4 [41728/48750]	Loss: 0.1670	LR: 0.100000
Training Epoch: 4 [41984/48750]	Loss: 0.1381	LR: 0.100000
Training Epoch: 4 [42240/48750]	Loss: 0.1346	LR: 0.100000
Training Epoch: 4 [42496/48750]	Loss: 0.1042	LR: 0.100000
Training Epoch: 4 [42752/48750]	Loss: 0.1084	LR: 0.100000
Training Epoch: 4 [43008/48750]	Loss: 0.1274	LR: 0.100000
Training Epoch: 4 [43264/48750]	Loss: 0.0950	LR: 0.100000
Training Epoch: 4 [43520/48750]	Loss: 0.1441	LR: 0.100000
Training Epoch: 4 [43776/48750]	Loss: 0.2230	LR: 0.100000
Training Epoch: 4 [44032/48750]	Loss: 0.1822	LR: 0.100000
Training Epoch: 4 [44288/48750]	Loss: 0.1165	LR: 0.100000
Training Epoch: 4 [44544/48750]	Loss: 0.2679	LR: 0.100000
Training Epoch: 4 [44800/48750]	Loss: 0.1873	LR: 0.100000
Training Epoch: 4 [45056/48750]	Loss: 0.1451	LR: 0.100000
Training Epoch: 4 [45312/48750]	Loss: 0.2046	LR: 0.100000
Training Epoch: 4 [45568/48750]	Loss: 0.1803	LR: 0.100000
Training Epoch: 4 [45824/48750]	Loss: 0.1441	LR: 0.100000
Training Epoch: 4 [46080/48750]	Loss: 0.2602	LR: 0.100000
Training Epoch: 4 [46336/48750]	Loss: 0.1509	LR: 0.100000
Training Epoch: 4 [46592/48750]	Loss: 0.0844	LR: 0.100000
Training Epoch: 4 [46848/48750]	Loss: 0.1763	LR: 0.100000
Training Epoch: 4 [47104/48750]	Loss: 0.1032	LR: 0.100000
Training Epoch: 4 [47360/48750]	Loss: 0.1193	LR: 0.100000
Training Epoch: 4 [47616/48750]	Loss: 0.1732	LR: 0.100000
Training Epoch: 4 [47872/48750]	Loss: 0.1110	LR: 0.100000
Training Epoch: 4 [48128/48750]	Loss: 0.2751	LR: 0.100000
Training Epoch: 4 [48384/48750]	Loss: 0.0817	LR: 0.100000
Training Epoch: 4 [48640/48750]	Loss: 0.0983	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 0.3119	LR: 0.100000
Epoch 4 - Average Train Loss: 0.1486, Train Accuracy: 0.9483
Epoch 4 training time consumed: 351.79s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0006, Accuracy: 0.9473, Time consumed:23.48s
Training Epoch: 5 [256/48750]	Loss: 0.1228	LR: 0.100000
Training Epoch: 5 [512/48750]	Loss: 0.1885	LR: 0.100000
Training Epoch: 5 [768/48750]	Loss: 0.1973	LR: 0.100000
Training Epoch: 5 [1024/48750]	Loss: 0.2095	LR: 0.100000
Training Epoch: 5 [1280/48750]	Loss: 0.1310	LR: 0.100000
Training Epoch: 5 [1536/48750]	Loss: 0.1668	LR: 0.100000
Training Epoch: 5 [1792/48750]	Loss: 0.1824	LR: 0.100000
Training Epoch: 5 [2048/48750]	Loss: 0.1729	LR: 0.100000
Training Epoch: 5 [2304/48750]	Loss: 0.1367	LR: 0.100000
Training Epoch: 5 [2560/48750]	Loss: 0.1265	LR: 0.100000
Training Epoch: 5 [2816/48750]	Loss: 0.1262	LR: 0.100000
Training Epoch: 5 [3072/48750]	Loss: 0.1261	LR: 0.100000
Training Epoch: 5 [3328/48750]	Loss: 0.2449	LR: 0.100000
Training Epoch: 5 [3584/48750]	Loss: 0.1092	LR: 0.100000
Training Epoch: 5 [3840/48750]	Loss: 0.0646	LR: 0.100000
Training Epoch: 5 [4096/48750]	Loss: 0.0956	LR: 0.100000
Training Epoch: 5 [4352/48750]	Loss: 0.1282	LR: 0.100000
Training Epoch: 5 [4608/48750]	Loss: 0.1265	LR: 0.100000
Training Epoch: 5 [4864/48750]	Loss: 0.1781	LR: 0.100000
Training Epoch: 5 [5120/48750]	Loss: 0.1040	LR: 0.100000
Training Epoch: 5 [5376/48750]	Loss: 0.1756	LR: 0.100000
Training Epoch: 5 [5632/48750]	Loss: 0.1371	LR: 0.100000
Training Epoch: 5 [5888/48750]	Loss: 0.2021	LR: 0.100000
Training Epoch: 5 [6144/48750]	Loss: 0.2064	LR: 0.100000
Training Epoch: 5 [6400/48750]	Loss: 0.2230	LR: 0.100000
Training Epoch: 5 [6656/48750]	Loss: 0.1472	LR: 0.100000
Training Epoch: 5 [6912/48750]	Loss: 0.1446	LR: 0.100000
Training Epoch: 5 [7168/48750]	Loss: 0.0973	LR: 0.100000
Training Epoch: 5 [7424/48750]	Loss: 0.1655	LR: 0.100000
Training Epoch: 5 [7680/48750]	Loss: 0.2157	LR: 0.100000
Training Epoch: 5 [7936/48750]	Loss: 0.1340	LR: 0.100000
Training Epoch: 5 [8192/48750]	Loss: 0.1646	LR: 0.100000
Training Epoch: 5 [8448/48750]	Loss: 0.1905	LR: 0.100000
Training Epoch: 5 [8704/48750]	Loss: 0.1289	LR: 0.100000
Training Epoch: 5 [8960/48750]	Loss: 0.1628	LR: 0.100000
Training Epoch: 5 [9216/48750]	Loss: 0.1990	LR: 0.100000
Training Epoch: 5 [9472/48750]	Loss: 0.1375	LR: 0.100000
Training Epoch: 5 [9728/48750]	Loss: 0.2437	LR: 0.100000
Training Epoch: 5 [9984/48750]	Loss: 0.1617	LR: 0.100000
Training Epoch: 5 [10240/48750]	Loss: 0.1668	LR: 0.100000
Training Epoch: 5 [10496/48750]	Loss: 0.1350	LR: 0.100000
Training Epoch: 5 [10752/48750]	Loss: 0.1015	LR: 0.100000
Training Epoch: 5 [11008/48750]	Loss: 0.1571	LR: 0.100000
Training Epoch: 5 [11264/48750]	Loss: 0.1386	LR: 0.100000
Training Epoch: 5 [11520/48750]	Loss: 0.1169	LR: 0.100000
Training Epoch: 5 [11776/48750]	Loss: 0.1056	LR: 0.100000
Training Epoch: 5 [12032/48750]	Loss: 0.1331	LR: 0.100000
Training Epoch: 5 [12288/48750]	Loss: 0.1086	LR: 0.100000
Training Epoch: 5 [12544/48750]	Loss: 0.1054	LR: 0.100000
Training Epoch: 5 [12800/48750]	Loss: 0.1373	LR: 0.100000
Training Epoch: 5 [13056/48750]	Loss: 0.1998	LR: 0.100000
Training Epoch: 5 [13312/48750]	Loss: 0.1237	LR: 0.100000
Training Epoch: 5 [13568/48750]	Loss: 0.1664	LR: 0.100000
Training Epoch: 5 [13824/48750]	Loss: 0.1558	LR: 0.100000
Training Epoch: 5 [14080/48750]	Loss: 0.1480	LR: 0.100000
Training Epoch: 5 [14336/48750]	Loss: 0.1244	LR: 0.100000
Training Epoch: 5 [14592/48750]	Loss: 0.2037	LR: 0.100000
Training Epoch: 5 [14848/48750]	Loss: 0.1662	LR: 0.100000
Training Epoch: 5 [15104/48750]	Loss: 0.1070	LR: 0.100000
Training Epoch: 5 [15360/48750]	Loss: 0.1342	LR: 0.100000
Training Epoch: 5 [15616/48750]	Loss: 0.1540	LR: 0.100000
Training Epoch: 5 [15872/48750]	Loss: 0.1288	LR: 0.100000
Training Epoch: 5 [16128/48750]	Loss: 0.1388	LR: 0.100000
Training Epoch: 5 [16384/48750]	Loss: 0.1892	LR: 0.100000
Training Epoch: 5 [16640/48750]	Loss: 0.1668	LR: 0.100000
Training Epoch: 5 [16896/48750]	Loss: 0.1599	LR: 0.100000
Training Epoch: 5 [17152/48750]	Loss: 0.1694	LR: 0.100000
Training Epoch: 5 [17408/48750]	Loss: 0.1110	LR: 0.100000
Training Epoch: 5 [17664/48750]	Loss: 0.1907	LR: 0.100000
Training Epoch: 5 [17920/48750]	Loss: 0.2492	LR: 0.100000
Training Epoch: 5 [18176/48750]	Loss: 0.1755	LR: 0.100000
Training Epoch: 5 [18432/48750]	Loss: 0.1475	LR: 0.100000
Training Epoch: 5 [18688/48750]	Loss: 0.2216	LR: 0.100000
Training Epoch: 5 [18944/48750]	Loss: 0.2597	LR: 0.100000
Training Epoch: 5 [19200/48750]	Loss: 0.1911	LR: 0.100000
Training Epoch: 5 [19456/48750]	Loss: 0.1786	LR: 0.100000
Training Epoch: 5 [19712/48750]	Loss: 0.1353	LR: 0.100000
Training Epoch: 5 [19968/48750]	Loss: 0.2982	LR: 0.100000
Training Epoch: 5 [20224/48750]	Loss: 0.2798	LR: 0.100000
Training Epoch: 5 [20480/48750]	Loss: 0.1246	LR: 0.100000
Training Epoch: 5 [20736/48750]	Loss: 0.2294	LR: 0.100000
Training Epoch: 5 [20992/48750]	Loss: 0.1515	LR: 0.100000
Training Epoch: 5 [21248/48750]	Loss: 0.1847	LR: 0.100000
Training Epoch: 5 [21504/48750]	Loss: 0.2206	LR: 0.100000
Training Epoch: 5 [21760/48750]	Loss: 0.1763	LR: 0.100000
Training Epoch: 5 [22016/48750]	Loss: 0.1524	LR: 0.100000
Training Epoch: 5 [22272/48750]	Loss: 0.1994	LR: 0.100000
Training Epoch: 5 [22528/48750]	Loss: 0.1192	LR: 0.100000
Training Epoch: 5 [22784/48750]	Loss: 0.0982	LR: 0.100000
Training Epoch: 5 [23040/48750]	Loss: 0.1853	LR: 0.100000
Training Epoch: 5 [23296/48750]	Loss: 0.1664	LR: 0.100000
Training Epoch: 5 [23552/48750]	Loss: 0.1552	LR: 0.100000
Training Epoch: 5 [23808/48750]	Loss: 0.1984	LR: 0.100000
Training Epoch: 5 [24064/48750]	Loss: 0.1243	LR: 0.100000
Training Epoch: 5 [24320/48750]	Loss: 0.1547	LR: 0.100000
Training Epoch: 5 [24576/48750]	Loss: 0.2402	LR: 0.100000
Training Epoch: 5 [24832/48750]	Loss: 0.1678	LR: 0.100000
Training Epoch: 5 [25088/48750]	Loss: 0.1886	LR: 0.100000
Training Epoch: 5 [25344/48750]	Loss: 0.1277	LR: 0.100000
Training Epoch: 5 [25600/48750]	Loss: 0.1596	LR: 0.100000
Training Epoch: 5 [25856/48750]	Loss: 0.2127	LR: 0.100000
Training Epoch: 5 [26112/48750]	Loss: 0.2192	LR: 0.100000
Training Epoch: 5 [26368/48750]	Loss: 0.1316	LR: 0.100000
Training Epoch: 5 [26624/48750]	Loss: 0.1896	LR: 0.100000
Training Epoch: 5 [26880/48750]	Loss: 0.1863	LR: 0.100000
Training Epoch: 5 [27136/48750]	Loss: 0.1861	LR: 0.100000
Training Epoch: 5 [27392/48750]	Loss: 0.1586	LR: 0.100000
Training Epoch: 5 [27648/48750]	Loss: 0.1959	LR: 0.100000
Training Epoch: 5 [27904/48750]	Loss: 0.0786	LR: 0.100000
Training Epoch: 5 [28160/48750]	Loss: 0.1065	LR: 0.100000
Training Epoch: 5 [28416/48750]	Loss: 0.1972	LR: 0.100000
Training Epoch: 5 [28672/48750]	Loss: 0.1767	LR: 0.100000
Training Epoch: 5 [28928/48750]	Loss: 0.2383	LR: 0.100000
Training Epoch: 5 [29184/48750]	Loss: 0.1424	LR: 0.100000
Training Epoch: 5 [29440/48750]	Loss: 0.1100	LR: 0.100000
Training Epoch: 5 [29696/48750]	Loss: 0.1496	LR: 0.100000
Training Epoch: 5 [29952/48750]	Loss: 0.1315	LR: 0.100000
Training Epoch: 5 [30208/48750]	Loss: 0.0809	LR: 0.100000
Training Epoch: 5 [30464/48750]	Loss: 0.1154	LR: 0.100000
Training Epoch: 5 [30720/48750]	Loss: 0.0861	LR: 0.100000
Training Epoch: 5 [30976/48750]	Loss: 0.0886	LR: 0.100000
Training Epoch: 5 [31232/48750]	Loss: 0.1518	LR: 0.100000
Training Epoch: 5 [31488/48750]	Loss: 0.1755	LR: 0.100000
Training Epoch: 5 [31744/48750]	Loss: 0.1019	LR: 0.100000
Training Epoch: 5 [32000/48750]	Loss: 0.1705	LR: 0.100000
Training Epoch: 5 [32256/48750]	Loss: 0.1739	LR: 0.100000
Training Epoch: 5 [32512/48750]	Loss: 0.2748	LR: 0.100000
Training Epoch: 5 [32768/48750]	Loss: 0.1838	LR: 0.100000
Training Epoch: 5 [33024/48750]	Loss: 0.1718	LR: 0.100000
Training Epoch: 5 [33280/48750]	Loss: 0.2538	LR: 0.100000
Training Epoch: 5 [33536/48750]	Loss: 0.1891	LR: 0.100000
Training Epoch: 5 [33792/48750]	Loss: 0.1868	LR: 0.100000
Training Epoch: 5 [34048/48750]	Loss: 0.2035	LR: 0.100000
Training Epoch: 5 [34304/48750]	Loss: 0.2258	LR: 0.100000
Training Epoch: 5 [34560/48750]	Loss: 0.1888	LR: 0.100000
Training Epoch: 5 [34816/48750]	Loss: 0.1991	LR: 0.100000
Training Epoch: 5 [35072/48750]	Loss: 0.1323	LR: 0.100000
Training Epoch: 5 [35328/48750]	Loss: 0.2306	LR: 0.100000
Training Epoch: 5 [35584/48750]	Loss: 0.2049	LR: 0.100000
Training Epoch: 5 [35840/48750]	Loss: 0.1696	LR: 0.100000
Training Epoch: 5 [36096/48750]	Loss: 0.1637	LR: 0.100000
Training Epoch: 5 [36352/48750]	Loss: 0.1263	LR: 0.100000
Training Epoch: 5 [36608/48750]	Loss: 0.2213	LR: 0.100000
Training Epoch: 5 [36864/48750]	Loss: 0.1631	LR: 0.100000
Training Epoch: 5 [37120/48750]	Loss: 0.2212	LR: 0.100000
Training Epoch: 5 [37376/48750]	Loss: 0.1488	LR: 0.100000
Training Epoch: 5 [37632/48750]	Loss: 0.1097	LR: 0.100000
Training Epoch: 5 [37888/48750]	Loss: 0.1780	LR: 0.100000
Training Epoch: 5 [38144/48750]	Loss: 0.2436	LR: 0.100000
Training Epoch: 5 [38400/48750]	Loss: 0.2158	LR: 0.100000
Training Epoch: 5 [38656/48750]	Loss: 0.2214	LR: 0.100000
Training Epoch: 5 [38912/48750]	Loss: 0.2296	LR: 0.100000
Training Epoch: 5 [39168/48750]	Loss: 0.1700	LR: 0.100000
Training Epoch: 5 [39424/48750]	Loss: 0.2278	LR: 0.100000
Training Epoch: 5 [39680/48750]	Loss: 0.1337	LR: 0.100000
Training Epoch: 5 [39936/48750]	Loss: 0.2306	LR: 0.100000
Training Epoch: 5 [40192/48750]	Loss: 0.1836	LR: 0.100000
Training Epoch: 5 [40448/48750]	Loss: 0.1313	LR: 0.100000
Training Epoch: 5 [40704/48750]	Loss: 0.1790	LR: 0.100000
Training Epoch: 5 [40960/48750]	Loss: 0.1530	LR: 0.100000
Training Epoch: 5 [41216/48750]	Loss: 0.1771	LR: 0.100000
Training Epoch: 5 [41472/48750]	Loss: 0.1482	LR: 0.100000
Training Epoch: 5 [41728/48750]	Loss: 0.2930	LR: 0.100000
Training Epoch: 5 [41984/48750]	Loss: 0.2450	LR: 0.100000
Training Epoch: 5 [42240/48750]	Loss: 0.2111	LR: 0.100000
Training Epoch: 5 [42496/48750]	Loss: 0.1972	LR: 0.100000
Training Epoch: 5 [42752/48750]	Loss: 0.2412	LR: 0.100000
Training Epoch: 5 [43008/48750]	Loss: 0.1690	LR: 0.100000
Training Epoch: 5 [43264/48750]	Loss: 0.1983	LR: 0.100000
Training Epoch: 5 [43520/48750]	Loss: 0.1625	LR: 0.100000
Training Epoch: 5 [43776/48750]	Loss: 0.1826	LR: 0.100000
Training Epoch: 5 [44032/48750]	Loss: 0.3683	LR: 0.100000
Training Epoch: 5 [44288/48750]	Loss: 0.1089	LR: 0.100000
Training Epoch: 5 [44544/48750]	Loss: 0.1562	LR: 0.100000
Training Epoch: 5 [44800/48750]	Loss: 0.3641	LR: 0.100000
Training Epoch: 5 [45056/48750]	Loss: 0.1777	LR: 0.100000
Training Epoch: 5 [45312/48750]	Loss: 0.2374	LR: 0.100000
Training Epoch: 5 [45568/48750]	Loss: 0.2341	LR: 0.100000
Training Epoch: 5 [45824/48750]	Loss: 0.1661	LR: 0.100000
Training Epoch: 5 [46080/48750]	Loss: 0.1596	LR: 0.100000
Training Epoch: 5 [46336/48750]	Loss: 0.2950	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.1775	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.1543	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.1760	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.2163	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.2602	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.1992	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.2175	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.1580	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.1969	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.1678	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1729, Train Accuracy: 0.9420
Epoch 5 training time consumed: 351.87s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0008, Accuracy: 0.9362, Time consumed:23.47s
Training Epoch: 6 [256/48750]	Loss: 0.2068	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.1807	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.1725	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.1534	LR: 0.100000
Training Epoch: 6 [1280/48750]	Loss: 0.1801	LR: 0.100000
Training Epoch: 6 [1536/48750]	Loss: 0.2119	LR: 0.100000
Training Epoch: 6 [1792/48750]	Loss: 0.1541	LR: 0.100000
Training Epoch: 6 [2048/48750]	Loss: 0.2343	LR: 0.100000
Training Epoch: 6 [2304/48750]	Loss: 0.1133	LR: 0.100000
Training Epoch: 6 [2560/48750]	Loss: 0.2178	LR: 0.100000
Training Epoch: 6 [2816/48750]	Loss: 0.2402	LR: 0.100000
Training Epoch: 6 [3072/48750]	Loss: 0.1827	LR: 0.100000
Training Epoch: 6 [3328/48750]	Loss: 0.1364	LR: 0.100000
Training Epoch: 6 [3584/48750]	Loss: 0.2821	LR: 0.100000
Training Epoch: 6 [3840/48750]	Loss: 0.1616	LR: 0.100000
Training Epoch: 6 [4096/48750]	Loss: 0.1501	LR: 0.100000
Training Epoch: 6 [4352/48750]	Loss: 0.2992	LR: 0.100000
Training Epoch: 6 [4608/48750]	Loss: 0.2303	LR: 0.100000
Training Epoch: 6 [4864/48750]	Loss: 0.2346	LR: 0.100000
Training Epoch: 6 [5120/48750]	Loss: 0.1447	LR: 0.100000
Training Epoch: 6 [5376/48750]	Loss: 0.2666	LR: 0.100000
Training Epoch: 6 [5632/48750]	Loss: 0.1613	LR: 0.100000
Training Epoch: 6 [5888/48750]	Loss: 0.2253	LR: 0.100000
Training Epoch: 6 [6144/48750]	Loss: 0.1783	LR: 0.100000
Training Epoch: 6 [6400/48750]	Loss: 0.2330	LR: 0.100000
Training Epoch: 6 [6656/48750]	Loss: 0.1578	LR: 0.100000
Training Epoch: 6 [6912/48750]	Loss: 0.2011	LR: 0.100000
Training Epoch: 6 [7168/48750]	Loss: 0.1932	LR: 0.100000
Training Epoch: 6 [7424/48750]	Loss: 0.1942	LR: 0.100000
Training Epoch: 6 [7680/48750]	Loss: 0.1502	LR: 0.100000
Training Epoch: 6 [7936/48750]	Loss: 0.2362	LR: 0.100000
Training Epoch: 6 [8192/48750]	Loss: 0.1698	LR: 0.100000
Training Epoch: 6 [8448/48750]	Loss: 0.1254	LR: 0.100000
Training Epoch: 6 [8704/48750]	Loss: 0.1618	LR: 0.100000
Training Epoch: 6 [8960/48750]	Loss: 0.2520	LR: 0.100000
Training Epoch: 6 [9216/48750]	Loss: 0.1258	LR: 0.100000
Training Epoch: 6 [9472/48750]	Loss: 0.1470	LR: 0.100000
Training Epoch: 6 [9728/48750]	Loss: 0.1926	LR: 0.100000
Training Epoch: 6 [9984/48750]	Loss: 0.2026	LR: 0.100000
Training Epoch: 6 [10240/48750]	Loss: 0.2716	LR: 0.100000
Training Epoch: 6 [10496/48750]	Loss: 0.1966	LR: 0.100000
Training Epoch: 6 [10752/48750]	Loss: 0.2306	LR: 0.100000
Training Epoch: 6 [11008/48750]	Loss: 0.2978	LR: 0.100000
Training Epoch: 6 [11264/48750]	Loss: 0.1983	LR: 0.100000
Training Epoch: 6 [11520/48750]	Loss: 0.1347	LR: 0.100000
Training Epoch: 6 [11776/48750]	Loss: 0.1492	LR: 0.100000
Training Epoch: 6 [12032/48750]	Loss: 0.2116	LR: 0.100000
Training Epoch: 6 [12288/48750]	Loss: 0.1556	LR: 0.100000
Training Epoch: 6 [12544/48750]	Loss: 0.2081	LR: 0.100000
Training Epoch: 6 [12800/48750]	Loss: 0.1639	LR: 0.100000
Training Epoch: 6 [13056/48750]	Loss: 0.1994	LR: 0.100000
Training Epoch: 6 [13312/48750]	Loss: 0.1599	LR: 0.100000
Training Epoch: 6 [13568/48750]	Loss: 0.1366	LR: 0.100000
Training Epoch: 6 [13824/48750]	Loss: 0.1551	LR: 0.100000
Training Epoch: 6 [14080/48750]	Loss: 0.1616	LR: 0.100000
Training Epoch: 6 [14336/48750]	Loss: 0.1017	LR: 0.100000
Training Epoch: 6 [14592/48750]	Loss: 0.0984	LR: 0.100000
Training Epoch: 6 [14848/48750]	Loss: 0.1852	LR: 0.100000
Training Epoch: 6 [15104/48750]	Loss: 0.1850	LR: 0.100000
Training Epoch: 6 [15360/48750]	Loss: 0.1372	LR: 0.100000
Training Epoch: 6 [15616/48750]	Loss: 0.2155	LR: 0.100000
Training Epoch: 6 [15872/48750]	Loss: 0.1842	LR: 0.100000
Training Epoch: 6 [16128/48750]	Loss: 0.1211	LR: 0.100000
Training Epoch: 6 [16384/48750]	Loss: 0.2112	LR: 0.100000
Training Epoch: 6 [16640/48750]	Loss: 0.0965	LR: 0.100000
Training Epoch: 6 [16896/48750]	Loss: 0.1956	LR: 0.100000
Training Epoch: 6 [17152/48750]	Loss: 0.1699	LR: 0.100000
Training Epoch: 6 [17408/48750]	Loss: 0.1740	LR: 0.100000
Training Epoch: 6 [17664/48750]	Loss: 0.1579	LR: 0.100000
Training Epoch: 6 [17920/48750]	Loss: 0.2021	LR: 0.100000
Training Epoch: 6 [18176/48750]	Loss: 0.1983	LR: 0.100000
Training Epoch: 6 [18432/48750]	Loss: 0.1498	LR: 0.100000
Training Epoch: 6 [18688/48750]	Loss: 0.1494	LR: 0.100000
Training Epoch: 6 [18944/48750]	Loss: 0.1370	LR: 0.100000
Training Epoch: 6 [19200/48750]	Loss: 0.1360	LR: 0.100000
Training Epoch: 6 [19456/48750]	Loss: 0.1951	LR: 0.100000
Training Epoch: 6 [19712/48750]	Loss: 0.1288	LR: 0.100000
Training Epoch: 6 [19968/48750]	Loss: 0.2011	LR: 0.100000
Training Epoch: 6 [20224/48750]	Loss: 0.1348	LR: 0.100000
Training Epoch: 6 [20480/48750]	Loss: 0.1449	LR: 0.100000
Training Epoch: 6 [20736/48750]	Loss: 0.1313	LR: 0.100000
Training Epoch: 6 [20992/48750]	Loss: 0.1632	LR: 0.100000
Training Epoch: 6 [21248/48750]	Loss: 0.1405	LR: 0.100000
Training Epoch: 6 [21504/48750]	Loss: 0.1535	LR: 0.100000
Training Epoch: 6 [21760/48750]	Loss: 0.1758	LR: 0.100000
Training Epoch: 6 [22016/48750]	Loss: 0.2653	LR: 0.100000
Training Epoch: 6 [22272/48750]	Loss: 0.1358	LR: 0.100000
Training Epoch: 6 [22528/48750]	Loss: 0.1754	LR: 0.100000
Training Epoch: 6 [22784/48750]	Loss: 0.2083	LR: 0.100000
Training Epoch: 6 [23040/48750]	Loss: 0.2288	LR: 0.100000
Training Epoch: 6 [23296/48750]	Loss: 0.2672	LR: 0.100000
Training Epoch: 6 [23552/48750]	Loss: 0.2519	LR: 0.100000
Training Epoch: 6 [23808/48750]	Loss: 0.2633	LR: 0.100000
Training Epoch: 6 [24064/48750]	Loss: 0.1981	LR: 0.100000
Training Epoch: 6 [24320/48750]	Loss: 0.2039	LR: 0.100000
Training Epoch: 6 [24576/48750]	Loss: 0.3236	LR: 0.100000
Training Epoch: 6 [24832/48750]	Loss: 0.1991	LR: 0.100000
Training Epoch: 6 [25088/48750]	Loss: 0.2346	LR: 0.100000
Training Epoch: 6 [25344/48750]	Loss: 0.2513	LR: 0.100000
Training Epoch: 6 [25600/48750]	Loss: 0.2053	LR: 0.100000
Training Epoch: 6 [25856/48750]	Loss: 0.2706	LR: 0.100000
Training Epoch: 6 [26112/48750]	Loss: 0.1814	LR: 0.100000
Training Epoch: 6 [26368/48750]	Loss: 0.1761	LR: 0.100000
Training Epoch: 6 [26624/48750]	Loss: 0.2156	LR: 0.100000
Training Epoch: 6 [26880/48750]	Loss: 0.2276	LR: 0.100000
Training Epoch: 6 [27136/48750]	Loss: 0.1684	LR: 0.100000
Training Epoch: 6 [27392/48750]	Loss: 0.1762	LR: 0.100000
Training Epoch: 6 [27648/48750]	Loss: 0.2315	LR: 0.100000
Training Epoch: 6 [27904/48750]	Loss: 0.2631	LR: 0.100000
Training Epoch: 6 [28160/48750]	Loss: 0.2199	LR: 0.100000
Training Epoch: 6 [28416/48750]	Loss: 0.1534	LR: 0.100000
Training Epoch: 6 [28672/48750]	Loss: 0.1021	LR: 0.100000
Training Epoch: 6 [28928/48750]	Loss: 0.3783	LR: 0.100000
Training Epoch: 6 [29184/48750]	Loss: 0.2118	LR: 0.100000
Training Epoch: 6 [29440/48750]	Loss: 0.2468	LR: 0.100000
Training Epoch: 6 [29696/48750]	Loss: 0.2518	LR: 0.100000
Training Epoch: 6 [29952/48750]	Loss: 0.1683	LR: 0.100000
Training Epoch: 6 [30208/48750]	Loss: 0.3232	LR: 0.100000
Training Epoch: 6 [30464/48750]	Loss: 0.1972	LR: 0.100000
Training Epoch: 6 [30720/48750]	Loss: 0.1713	LR: 0.100000
Training Epoch: 6 [30976/48750]	Loss: 0.1820	LR: 0.100000
Training Epoch: 6 [31232/48750]	Loss: 0.2216	LR: 0.100000
Training Epoch: 6 [31488/48750]	Loss: 0.2814	LR: 0.100000
Training Epoch: 6 [31744/48750]	Loss: 0.1593	LR: 0.100000
Training Epoch: 6 [32000/48750]	Loss: 0.1570	LR: 0.100000
Training Epoch: 6 [32256/48750]	Loss: 0.1641	LR: 0.100000
Training Epoch: 6 [32512/48750]	Loss: 0.2201	LR: 0.100000
Training Epoch: 6 [32768/48750]	Loss: 0.2008	LR: 0.100000
Training Epoch: 6 [33024/48750]	Loss: 0.2833	LR: 0.100000
Training Epoch: 6 [33280/48750]	Loss: 0.2440	LR: 0.100000
Training Epoch: 6 [33536/48750]	Loss: 0.1868	LR: 0.100000
Training Epoch: 6 [33792/48750]	Loss: 0.2072	LR: 0.100000
Training Epoch: 6 [34048/48750]	Loss: 0.3073	LR: 0.100000
Training Epoch: 6 [34304/48750]	Loss: 0.1878	LR: 0.100000
Training Epoch: 6 [34560/48750]	Loss: 0.1898	LR: 0.100000
Training Epoch: 6 [34816/48750]	Loss: 0.1867	LR: 0.100000
Training Epoch: 6 [35072/48750]	Loss: 0.1639	LR: 0.100000
Training Epoch: 6 [35328/48750]	Loss: 0.2258	LR: 0.100000
Training Epoch: 6 [35584/48750]	Loss: 0.2507	LR: 0.100000
Training Epoch: 6 [35840/48750]	Loss: 0.1539	LR: 0.100000
Training Epoch: 6 [36096/48750]	Loss: 0.1206	LR: 0.100000
Training Epoch: 6 [36352/48750]	Loss: 0.2382	LR: 0.100000
Training Epoch: 6 [36608/48750]	Loss: 0.2579	LR: 0.100000
Training Epoch: 6 [36864/48750]	Loss: 0.1836	LR: 0.100000
Training Epoch: 6 [37120/48750]	Loss: 0.2005	LR: 0.100000
Training Epoch: 6 [37376/48750]	Loss: 0.2408	LR: 0.100000
Training Epoch: 6 [37632/48750]	Loss: 0.2731	LR: 0.100000
Training Epoch: 6 [37888/48750]	Loss: 0.3189	LR: 0.100000
Training Epoch: 6 [38144/48750]	Loss: 0.2529	LR: 0.100000
Training Epoch: 6 [38400/48750]	Loss: 0.2888	LR: 0.100000
Training Epoch: 6 [38656/48750]	Loss: 0.1318	LR: 0.100000
Training Epoch: 6 [38912/48750]	Loss: 0.2279	LR: 0.100000
Training Epoch: 6 [39168/48750]	Loss: 0.2720	LR: 0.100000
Training Epoch: 6 [39424/48750]	Loss: 0.1994	LR: 0.100000
Training Epoch: 6 [39680/48750]	Loss: 0.2041	LR: 0.100000
Training Epoch: 6 [39936/48750]	Loss: 0.2058	LR: 0.100000
Training Epoch: 6 [40192/48750]	Loss: 0.2226	LR: 0.100000
Training Epoch: 6 [40448/48750]	Loss: 0.1666	LR: 0.100000
Training Epoch: 6 [40704/48750]	Loss: 0.1777	LR: 0.100000
Training Epoch: 6 [40960/48750]	Loss: 0.3071	LR: 0.100000
Training Epoch: 6 [41216/48750]	Loss: 0.2171	LR: 0.100000
Training Epoch: 6 [41472/48750]	Loss: 0.1570	LR: 0.100000
Training Epoch: 6 [41728/48750]	Loss: 0.1908	LR: 0.100000
Training Epoch: 6 [41984/48750]	Loss: 0.1897	LR: 0.100000
Training Epoch: 6 [42240/48750]	Loss: 0.2120	LR: 0.100000
Training Epoch: 6 [42496/48750]	Loss: 0.2362	LR: 0.100000
Training Epoch: 6 [42752/48750]	Loss: 0.2277	LR: 0.100000
Training Epoch: 6 [43008/48750]	Loss: 0.2406	LR: 0.100000
Training Epoch: 6 [43264/48750]	Loss: 0.2315	LR: 0.100000
Training Epoch: 6 [43520/48750]	Loss: 0.2091	LR: 0.100000
Training Epoch: 6 [43776/48750]	Loss: 0.1782	LR: 0.100000
Training Epoch: 6 [44032/48750]	Loss: 0.1912	LR: 0.100000
Training Epoch: 6 [44288/48750]	Loss: 0.1876	LR: 0.100000
Training Epoch: 6 [44544/48750]	Loss: 0.1469	LR: 0.100000
Training Epoch: 6 [44800/48750]	Loss: 0.2217	LR: 0.100000
Training Epoch: 6 [45056/48750]	Loss: 0.2979	LR: 0.100000
Training Epoch: 6 [45312/48750]	Loss: 0.1501	LR: 0.100000
Training Epoch: 6 [45568/48750]	Loss: 0.1998	LR: 0.100000
Training Epoch: 6 [45824/48750]	Loss: 0.2233	LR: 0.100000
Training Epoch: 6 [46080/48750]	Loss: 0.1687	LR: 0.100000
Training Epoch: 6 [46336/48750]	Loss: 0.2632	LR: 0.100000
Training Epoch: 6 [46592/48750]	Loss: 0.1451	LR: 0.100000
Training Epoch: 6 [46848/48750]	Loss: 0.2861	LR: 0.100000
Training Epoch: 6 [47104/48750]	Loss: 0.2448	LR: 0.100000
Training Epoch: 6 [47360/48750]	Loss: 0.2199	LR: 0.100000
Training Epoch: 6 [47616/48750]	Loss: 0.2702	LR: 0.100000
Training Epoch: 6 [47872/48750]	Loss: 0.1153	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.2775	LR: 0.100000
Training Epoch: 6 [48384/48750]	Loss: 0.1954	LR: 0.100000
Training Epoch: 6 [48640/48750]	Loss: 0.2343	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.1691	LR: 0.100000
Epoch 6 - Average Train Loss: 0.2000, Train Accuracy: 0.9314
Epoch 6 training time consumed: 352.12s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0008, Accuracy: 0.9310, Time consumed:23.50s
Training Epoch: 7 [256/48750]	Loss: 0.2110	LR: 0.020000
Training Epoch: 7 [512/48750]	Loss: 0.2186	LR: 0.020000
Training Epoch: 7 [768/48750]	Loss: 0.1911	LR: 0.020000
Training Epoch: 7 [1024/48750]	Loss: 0.1828	LR: 0.020000
Training Epoch: 7 [1280/48750]	Loss: 0.1372	LR: 0.020000
Training Epoch: 7 [1536/48750]	Loss: 0.0766	LR: 0.020000
Training Epoch: 7 [1792/48750]	Loss: 0.1022	LR: 0.020000
Training Epoch: 7 [2048/48750]	Loss: 0.1250	LR: 0.020000
Training Epoch: 7 [2304/48750]	Loss: 0.1126	LR: 0.020000
Training Epoch: 7 [2560/48750]	Loss: 0.0970	LR: 0.020000
Training Epoch: 7 [2816/48750]	Loss: 0.1321	LR: 0.020000
Training Epoch: 7 [3072/48750]	Loss: 0.1389	LR: 0.020000
Training Epoch: 7 [3328/48750]	Loss: 0.0874	LR: 0.020000
Training Epoch: 7 [3584/48750]	Loss: 0.0902	LR: 0.020000
Training Epoch: 7 [3840/48750]	Loss: 0.0732	LR: 0.020000
Training Epoch: 7 [4096/48750]	Loss: 0.1149	LR: 0.020000
Training Epoch: 7 [4352/48750]	Loss: 0.0906	LR: 0.020000
Training Epoch: 7 [4608/48750]	Loss: 0.0661	LR: 0.020000
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Training Epoch: 7 [16640/48750]	Loss: 0.0835	LR: 0.020000
Training Epoch: 7 [16896/48750]	Loss: 0.0656	LR: 0.020000
Training Epoch: 7 [17152/48750]	Loss: 0.0763	LR: 0.020000
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Training Epoch: 7 [20224/48750]	Loss: 0.0483	LR: 0.020000
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Training Epoch: 7 [41728/48750]	Loss: 0.0272	LR: 0.020000
Training Epoch: 7 [41984/48750]	Loss: 0.0321	LR: 0.020000
Training Epoch: 7 [42240/48750]	Loss: 0.0511	LR: 0.020000
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Training Epoch: 7 [43008/48750]	Loss: 0.0385	LR: 0.020000
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Training Epoch: 7 [43520/48750]	Loss: 0.0275	LR: 0.020000
Training Epoch: 7 [43776/48750]	Loss: 0.0689	LR: 0.020000
Training Epoch: 7 [44032/48750]	Loss: 0.0336	LR: 0.020000
Training Epoch: 7 [44288/48750]	Loss: 0.0436	LR: 0.020000
Training Epoch: 7 [44544/48750]	Loss: 0.0877	LR: 0.020000
Training Epoch: 7 [44800/48750]	Loss: 0.0371	LR: 0.020000
Training Epoch: 7 [45056/48750]	Loss: 0.0273	LR: 0.020000
Training Epoch: 7 [45312/48750]	Loss: 0.0642	LR: 0.020000
Training Epoch: 7 [45568/48750]	Loss: 0.0376	LR: 0.020000
Training Epoch: 7 [45824/48750]	Loss: 0.0363	LR: 0.020000
Training Epoch: 7 [46080/48750]	Loss: 0.0408	LR: 0.020000
Training Epoch: 7 [46336/48750]	Loss: 0.0258	LR: 0.020000
Training Epoch: 7 [46592/48750]	Loss: 0.0352	LR: 0.020000
Training Epoch: 7 [46848/48750]	Loss: 0.0752	LR: 0.020000
Training Epoch: 7 [47104/48750]	Loss: 0.0794	LR: 0.020000
Training Epoch: 7 [47360/48750]	Loss: 0.0417	LR: 0.020000
Training Epoch: 7 [47616/48750]	Loss: 0.0552	LR: 0.020000
Training Epoch: 7 [47872/48750]	Loss: 0.0572	LR: 0.020000
Training Epoch: 7 [48128/48750]	Loss: 0.0227	LR: 0.020000
Training Epoch: 7 [48384/48750]	Loss: 0.0533	LR: 0.020000
Training Epoch: 7 [48640/48750]	Loss: 0.0835	LR: 0.020000
Training Epoch: 7 [48750/48750]	Loss: 0.0342	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0656, Train Accuracy: 0.9777
Epoch 7 training time consumed: 351.95s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0004, Accuracy: 0.9701, Time consumed:23.49s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_21h_27m_13s/ViT-Cifar10-seed6-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0214	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.0437	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.0717	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.0381	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.0319	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.0084	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.0542	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.0348	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.0735	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.0364	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.0212	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.0485	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.0581	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.0489	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.0470	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.0347	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.0404	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.0206	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.0299	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.0305	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.0343	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.0281	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.0259	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.0428	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.0199	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.0358	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.0247	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.0300	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.0420	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.0411	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.0164	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.0297	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.0719	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.0137	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.0155	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.0719	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.0708	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.0369	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.0280	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.0259	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.0229	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.0284	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.0215	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.0307	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.0279	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.0913	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.0252	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.0273	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.0255	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.0506	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.0384	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.0105	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.0245	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.0408	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.0671	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.0512	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.0503	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.0213	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.0343	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.0671	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.0492	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.0304	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.0350	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.0144	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.0132	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.0698	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.0343	LR: 0.020000
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Training Epoch: 8 [18176/48750]	Loss: 0.0454	LR: 0.020000
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Training Epoch: 8 [19200/48750]	Loss: 0.0360	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.0689	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.0694	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.0465	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.0238	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.0286	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.0488	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.0336	LR: 0.020000
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Training Epoch: 8 [21504/48750]	Loss: 0.0412	LR: 0.020000
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Training Epoch: 8 [22016/48750]	Loss: 0.0201	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.0586	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.0729	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.0868	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.0564	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.0422	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.0460	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.0551	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.0332	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.0273	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.0595	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.0496	LR: 0.020000
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Training Epoch: 8 [25600/48750]	Loss: 0.0309	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.0228	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.0571	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.0268	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.0529	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.0561	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.0316	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.0261	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.0408	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.0566	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.0431	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.0427	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.0438	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.0299	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.0358	LR: 0.020000
Training Epoch: 8 [29440/48750]	Loss: 0.0726	LR: 0.020000
Training Epoch: 8 [29696/48750]	Loss: 0.0551	LR: 0.020000
Training Epoch: 8 [29952/48750]	Loss: 0.0477	LR: 0.020000
Training Epoch: 8 [30208/48750]	Loss: 0.0283	LR: 0.020000
Training Epoch: 8 [30464/48750]	Loss: 0.0588	LR: 0.020000
Training Epoch: 8 [30720/48750]	Loss: 0.0574	LR: 0.020000
Training Epoch: 8 [30976/48750]	Loss: 0.0147	LR: 0.020000
Training Epoch: 8 [31232/48750]	Loss: 0.0189	LR: 0.020000
Training Epoch: 8 [31488/48750]	Loss: 0.0592	LR: 0.020000
Training Epoch: 8 [31744/48750]	Loss: 0.0567	LR: 0.020000
Training Epoch: 8 [32000/48750]	Loss: 0.0374	LR: 0.020000
Training Epoch: 8 [32256/48750]	Loss: 0.0198	LR: 0.020000
Training Epoch: 8 [32512/48750]	Loss: 0.0729	LR: 0.020000
Training Epoch: 8 [32768/48750]	Loss: 0.0332	LR: 0.020000
Training Epoch: 8 [33024/48750]	Loss: 0.0496	LR: 0.020000
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Training Epoch: 8 [33792/48750]	Loss: 0.0392	LR: 0.020000
Training Epoch: 8 [34048/48750]	Loss: 0.0625	LR: 0.020000
Training Epoch: 8 [34304/48750]	Loss: 0.0454	LR: 0.020000
Training Epoch: 8 [34560/48750]	Loss: 0.0253	LR: 0.020000
Training Epoch: 8 [34816/48750]	Loss: 0.0497	LR: 0.020000
Training Epoch: 8 [35072/48750]	Loss: 0.0143	LR: 0.020000
Training Epoch: 8 [35328/48750]	Loss: 0.0391	LR: 0.020000
Training Epoch: 8 [35584/48750]	Loss: 0.0630	LR: 0.020000
Training Epoch: 8 [35840/48750]	Loss: 0.0718	LR: 0.020000
Training Epoch: 8 [36096/48750]	Loss: 0.0452	LR: 0.020000
Training Epoch: 8 [36352/48750]	Loss: 0.0427	LR: 0.020000
Training Epoch: 8 [36608/48750]	Loss: 0.0271	LR: 0.020000
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Training Epoch: 8 [37120/48750]	Loss: 0.0113	LR: 0.020000
Training Epoch: 8 [37376/48750]	Loss: 0.0472	LR: 0.020000
Training Epoch: 8 [37632/48750]	Loss: 0.0393	LR: 0.020000
Training Epoch: 8 [37888/48750]	Loss: 0.0399	LR: 0.020000
Training Epoch: 8 [38144/48750]	Loss: 0.0180	LR: 0.020000
Training Epoch: 8 [38400/48750]	Loss: 0.0530	LR: 0.020000
Training Epoch: 8 [38656/48750]	Loss: 0.0261	LR: 0.020000
Training Epoch: 8 [38912/48750]	Loss: 0.0181	LR: 0.020000
Training Epoch: 8 [39168/48750]	Loss: 0.0278	LR: 0.020000
Training Epoch: 8 [39424/48750]	Loss: 0.0391	LR: 0.020000
Training Epoch: 8 [39680/48750]	Loss: 0.0205	LR: 0.020000
Training Epoch: 8 [39936/48750]	Loss: 0.0505	LR: 0.020000
Training Epoch: 8 [40192/48750]	Loss: 0.0221	LR: 0.020000
Training Epoch: 8 [40448/48750]	Loss: 0.0280	LR: 0.020000
Training Epoch: 8 [40704/48750]	Loss: 0.0224	LR: 0.020000
Training Epoch: 8 [40960/48750]	Loss: 0.0559	LR: 0.020000
Training Epoch: 8 [41216/48750]	Loss: 0.0313	LR: 0.020000
Training Epoch: 8 [41472/48750]	Loss: 0.0410	LR: 0.020000
Training Epoch: 8 [41728/48750]	Loss: 0.0214	LR: 0.020000
Training Epoch: 8 [41984/48750]	Loss: 0.0675	LR: 0.020000
Training Epoch: 8 [42240/48750]	Loss: 0.0501	LR: 0.020000
Training Epoch: 8 [42496/48750]	Loss: 0.0610	LR: 0.020000
Training Epoch: 8 [42752/48750]	Loss: 0.0247	LR: 0.020000
Training Epoch: 8 [43008/48750]	Loss: 0.0288	LR: 0.020000
Training Epoch: 8 [43264/48750]	Loss: 0.0652	LR: 0.020000
Training Epoch: 8 [43520/48750]	Loss: 0.0372	LR: 0.020000
Training Epoch: 8 [43776/48750]	Loss: 0.0240	LR: 0.020000
Training Epoch: 8 [44032/48750]	Loss: 0.0347	LR: 0.020000
Training Epoch: 8 [44288/48750]	Loss: 0.0357	LR: 0.020000
Training Epoch: 8 [44544/48750]	Loss: 0.0444	LR: 0.020000
Training Epoch: 8 [44800/48750]	Loss: 0.0165	LR: 0.020000
Training Epoch: 8 [45056/48750]	Loss: 0.0167	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.0438	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.0132	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.0302	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.0643	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.0886	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.0387	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.0569	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.0216	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.0504	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.0316	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.0486	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.0295	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.0427	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.0509	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.0267	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0396, Train Accuracy: 0.9861
Epoch 8 training time consumed: 351.72s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0004, Accuracy: 0.9732, Time consumed:23.51s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_21h_27m_13s/ViT-Cifar10-seed6-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: 97.3828125
Retain Accuracy: 98.95697021484375
Zero-Retain Forget (ZRF): 0.7663590908050537
Membership Inference Attack (MIA): 0.816
Forget vs Retain Membership Inference Attack (MIA): 0.492
Forget vs Test Membership Inference Attack (MIA): 0.522
Test vs Retain Membership Inference Attack (MIA): 0.51325
Train vs Test Membership Inference Attack (MIA): 0.515
Forget Set Accuracy (Df): 95.94303131103516
Method Execution Time: 5398.18 seconds
