hello
hello

📌S Retain class distribution for seed 9:
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 9:
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: 2.4634	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4344	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.4171	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.3660	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.2899	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2328	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.1003	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 1.9646	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 1.7635	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 1.6019	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 1.2966	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 1.1267	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 0.9792	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 0.7259	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 0.6741	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 0.5154	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 0.4112	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 0.3695	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 0.3371	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 0.3068	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 0.2130	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 0.2641	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 0.1802	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 0.1871	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 0.2064	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 0.1674	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 0.2004	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 0.2263	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 0.2022	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 0.1622	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 0.2480	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 0.1454	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 0.2394	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 0.1528	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 0.2331	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 0.2069	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 0.3060	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 0.3428	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 0.1890	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 0.2856	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 0.1995	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 0.2253	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 0.3321	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 0.1937	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 0.1405	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 0.1929	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 0.4484	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 0.2808	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 0.3139	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 0.2653	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 0.1549	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 0.2360	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 0.4750	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 0.1438	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 0.2753	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 0.2417	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 0.2739	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 0.4175	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 0.2739	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 0.2928	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 0.2715	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 0.1142	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 0.2441	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 0.2505	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 0.2355	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 0.3040	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 0.3113	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 0.1739	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 0.2098	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 0.2648	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 0.3669	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 0.1662	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 0.2275	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 0.2625	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 0.3022	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 0.2173	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 0.1973	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 0.2612	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 0.2302	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 0.2380	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 0.1370	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 0.3320	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 0.1744	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 0.2590	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 0.2870	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 0.2280	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 0.3266	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 0.4248	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 0.2242	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 0.1256	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 0.3176	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 0.1651	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 0.1958	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 0.2747	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 0.2912	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 0.1713	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 0.2977	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 0.2138	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 0.2398	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 0.2223	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 0.2636	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 0.2181	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 0.2285	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 0.3391	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 0.2054	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 0.2568	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 0.1268	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 0.1875	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 0.2618	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 0.1347	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 0.2351	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 0.2829	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 0.2496	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 0.2648	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 0.2454	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 0.1990	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 0.3310	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 0.2520	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 0.1911	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 0.2171	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 0.1882	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 0.1468	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 0.3141	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 0.1850	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 0.2930	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 0.2951	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 0.2276	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 0.1876	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 0.2499	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 0.2571	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 0.2238	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 0.2251	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 0.3140	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 0.2958	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 0.1923	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 0.2633	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 0.3257	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 0.2196	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 0.1824	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 0.2522	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 0.1476	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 0.1605	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 0.3394	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 0.1212	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 0.2402	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 0.2577	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 0.2400	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 0.2539	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 0.4095	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 0.3124	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 0.1965	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 0.2232	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 0.2226	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 0.3145	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 0.1915	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 0.2283	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 0.2329	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 0.1918	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 0.2577	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 0.1767	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 0.2329	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 0.1889	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 0.1836	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 0.1743	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 0.1319	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 0.1897	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 0.1037	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 0.2089	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 0.1750	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 0.1377	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 0.2747	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 0.1361	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 0.1411	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 0.1773	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 0.1864	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 0.2060	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 0.3219	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 0.5370	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 0.2887	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 0.2951	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 0.4040	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 0.3715	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 0.3398	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 0.3119	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 0.2941	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 0.2953	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 0.2067	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 0.2311	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 0.3206	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 0.2866	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 0.3936	LR: 0.099476
Epoch 1 - Average Train Loss: 0.3657, Train Accuracy: 0.8806
Epoch 1 training time consumed: 353.02s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0007, Accuracy: 0.9403, Time consumed:25.37s
Saving weights file to checkpoint/retrain/ViT/Sunday_20_July_2025_12h_01m_46s/ViT-Cifar10-seed9-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 0.2696	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 0.1869	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 0.1828	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 0.2812	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 0.3723	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 0.2583	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 0.3573	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 0.1798	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 0.3034	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 0.3150	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 0.2761	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 0.3008	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 0.3667	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 0.1231	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 0.3141	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 0.3077	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 0.2961	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 0.1558	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 0.3463	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 0.2830	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 0.2795	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 0.3214	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 0.2150	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 0.1890	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 0.2442	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 0.3157	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 0.4333	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 0.3777	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 0.1548	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 0.3115	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 0.3753	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 0.1994	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 0.2375	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 0.2932	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 0.2698	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 0.1845	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 0.2888	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 0.1908	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 0.1253	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 0.2151	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 0.2385	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 0.1382	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 0.1452	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 0.2883	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 0.3226	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 0.1348	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 0.1831	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 0.2324	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 0.2008	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 0.2244	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 0.2505	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 0.2372	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 0.2416	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 0.2187	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 0.2340	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 0.1836	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 0.2407	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 0.2346	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 0.2389	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 0.2645	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 0.1628	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 0.2086	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 0.1460	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 0.1389	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 0.1999	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 0.1959	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 0.1371	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 0.2968	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 0.2996	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 0.3678	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 0.2321	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 0.2940	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 0.2632	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 0.1471	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 0.2733	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 0.2276	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 0.3171	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 0.1954	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 0.2435	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 0.1624	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 0.1724	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 0.2036	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 0.1888	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 0.2724	LR: 0.100000
Training Epoch: 2 [21760/48750]	Loss: 0.2838	LR: 0.100000
Training Epoch: 2 [22016/48750]	Loss: 0.2479	LR: 0.100000
Training Epoch: 2 [22272/48750]	Loss: 0.2595	LR: 0.100000
Training Epoch: 2 [22528/48750]	Loss: 0.1729	LR: 0.100000
Training Epoch: 2 [22784/48750]	Loss: 0.2260	LR: 0.100000
Training Epoch: 2 [23040/48750]	Loss: 0.2480	LR: 0.100000
Training Epoch: 2 [23296/48750]	Loss: 0.1262	LR: 0.100000
Training Epoch: 2 [23552/48750]	Loss: 0.1899	LR: 0.100000
Training Epoch: 2 [23808/48750]	Loss: 0.1856	LR: 0.100000
Training Epoch: 2 [24064/48750]	Loss: 0.2015	LR: 0.100000
Training Epoch: 2 [24320/48750]	Loss: 0.2125	LR: 0.100000
Training Epoch: 2 [24576/48750]	Loss: 0.1950	LR: 0.100000
Training Epoch: 2 [24832/48750]	Loss: 0.2381	LR: 0.100000
Training Epoch: 2 [25088/48750]	Loss: 0.1920	LR: 0.100000
Training Epoch: 2 [25344/48750]	Loss: 0.2435	LR: 0.100000
Training Epoch: 2 [25600/48750]	Loss: 0.2367	LR: 0.100000
Training Epoch: 2 [25856/48750]	Loss: 0.2092	LR: 0.100000
Training Epoch: 2 [26112/48750]	Loss: 0.1240	LR: 0.100000
Training Epoch: 2 [26368/48750]	Loss: 0.1581	LR: 0.100000
Training Epoch: 2 [26624/48750]	Loss: 0.1774	LR: 0.100000
Training Epoch: 2 [26880/48750]	Loss: 0.2870	LR: 0.100000
Training Epoch: 2 [27136/48750]	Loss: 0.1647	LR: 0.100000
Training Epoch: 2 [27392/48750]	Loss: 0.1908	LR: 0.100000
Training Epoch: 2 [27648/48750]	Loss: 0.1452	LR: 0.100000
Training Epoch: 2 [27904/48750]	Loss: 0.2354	LR: 0.100000
Training Epoch: 2 [28160/48750]	Loss: 0.2084	LR: 0.100000
Training Epoch: 2 [28416/48750]	Loss: 0.1742	LR: 0.100000
Training Epoch: 2 [28672/48750]	Loss: 0.2227	LR: 0.100000
Training Epoch: 2 [28928/48750]	Loss: 0.2430	LR: 0.100000
Training Epoch: 2 [29184/48750]	Loss: 0.2540	LR: 0.100000
Training Epoch: 2 [29440/48750]	Loss: 0.1452	LR: 0.100000
Training Epoch: 2 [29696/48750]	Loss: 0.1782	LR: 0.100000
Training Epoch: 2 [29952/48750]	Loss: 0.2218	LR: 0.100000
Training Epoch: 2 [30208/48750]	Loss: 0.1602	LR: 0.100000
Training Epoch: 2 [30464/48750]	Loss: 0.1588	LR: 0.100000
Training Epoch: 2 [30720/48750]	Loss: 0.2364	LR: 0.100000
Training Epoch: 2 [30976/48750]	Loss: 0.1713	LR: 0.100000
Training Epoch: 2 [31232/48750]	Loss: 0.1954	LR: 0.100000
Training Epoch: 2 [31488/48750]	Loss: 0.2142	LR: 0.100000
Training Epoch: 2 [31744/48750]	Loss: 0.1702	LR: 0.100000
Training Epoch: 2 [32000/48750]	Loss: 0.1452	LR: 0.100000
Training Epoch: 2 [32256/48750]	Loss: 0.2014	LR: 0.100000
Training Epoch: 2 [32512/48750]	Loss: 0.1876	LR: 0.100000
Training Epoch: 2 [32768/48750]	Loss: 0.1462	LR: 0.100000
Training Epoch: 2 [33024/48750]	Loss: 0.2145	LR: 0.100000
Training Epoch: 2 [33280/48750]	Loss: 0.3028	LR: 0.100000
Training Epoch: 2 [33536/48750]	Loss: 0.2086	LR: 0.100000
Training Epoch: 2 [33792/48750]	Loss: 0.2578	LR: 0.100000
Training Epoch: 2 [34048/48750]	Loss: 0.1634	LR: 0.100000
Training Epoch: 2 [34304/48750]	Loss: 0.3297	LR: 0.100000
Training Epoch: 2 [34560/48750]	Loss: 0.2410	LR: 0.100000
Training Epoch: 2 [34816/48750]	Loss: 0.2022	LR: 0.100000
Training Epoch: 2 [35072/48750]	Loss: 0.1979	LR: 0.100000
Training Epoch: 2 [35328/48750]	Loss: 0.2631	LR: 0.100000
Training Epoch: 2 [35584/48750]	Loss: 0.2329	LR: 0.100000
Training Epoch: 2 [35840/48750]	Loss: 0.1722	LR: 0.100000
Training Epoch: 2 [36096/48750]	Loss: 0.1613	LR: 0.100000
Training Epoch: 2 [36352/48750]	Loss: 0.2345	LR: 0.100000
Training Epoch: 2 [36608/48750]	Loss: 0.1203	LR: 0.100000
Training Epoch: 2 [36864/48750]	Loss: 0.1820	LR: 0.100000
Training Epoch: 2 [37120/48750]	Loss: 0.1857	LR: 0.100000
Training Epoch: 2 [37376/48750]	Loss: 0.1112	LR: 0.100000
Training Epoch: 2 [37632/48750]	Loss: 0.2333	LR: 0.100000
Training Epoch: 2 [37888/48750]	Loss: 0.1094	LR: 0.100000
Training Epoch: 2 [38144/48750]	Loss: 0.2052	LR: 0.100000
Training Epoch: 2 [38400/48750]	Loss: 0.0985	LR: 0.100000
Training Epoch: 2 [38656/48750]	Loss: 0.1454	LR: 0.100000
Training Epoch: 2 [38912/48750]	Loss: 0.1578	LR: 0.100000
Training Epoch: 2 [39168/48750]	Loss: 0.0964	LR: 0.100000
Training Epoch: 2 [39424/48750]	Loss: 0.2313	LR: 0.100000
Training Epoch: 2 [39680/48750]	Loss: 0.1253	LR: 0.100000
Training Epoch: 2 [39936/48750]	Loss: 0.1807	LR: 0.100000
Training Epoch: 2 [40192/48750]	Loss: 0.2034	LR: 0.100000
Training Epoch: 2 [40448/48750]	Loss: 0.2648	LR: 0.100000
Training Epoch: 2 [40704/48750]	Loss: 0.1204	LR: 0.100000
Training Epoch: 2 [40960/48750]	Loss: 0.2039	LR: 0.100000
Training Epoch: 2 [41216/48750]	Loss: 0.2161	LR: 0.100000
Training Epoch: 2 [41472/48750]	Loss: 0.2335	LR: 0.100000
Training Epoch: 2 [41728/48750]	Loss: 0.1623	LR: 0.100000
Training Epoch: 2 [41984/48750]	Loss: 0.2248	LR: 0.100000
Training Epoch: 2 [42240/48750]	Loss: 0.1911	LR: 0.100000
Training Epoch: 2 [42496/48750]	Loss: 0.2038	LR: 0.100000
Training Epoch: 2 [42752/48750]	Loss: 0.2403	LR: 0.100000
Training Epoch: 2 [43008/48750]	Loss: 0.1759	LR: 0.100000
Training Epoch: 2 [43264/48750]	Loss: 0.1507	LR: 0.100000
Training Epoch: 2 [43520/48750]	Loss: 0.1924	LR: 0.100000
Training Epoch: 2 [43776/48750]	Loss: 0.1667	LR: 0.100000
Training Epoch: 2 [44032/48750]	Loss: 0.1708	LR: 0.100000
Training Epoch: 2 [44288/48750]	Loss: 0.1448	LR: 0.100000
Training Epoch: 2 [44544/48750]	Loss: 0.1668	LR: 0.100000
Training Epoch: 2 [44800/48750]	Loss: 0.1835	LR: 0.100000
Training Epoch: 2 [45056/48750]	Loss: 0.1515	LR: 0.100000
Training Epoch: 2 [45312/48750]	Loss: 0.2550	LR: 0.100000
Training Epoch: 2 [45568/48750]	Loss: 0.3158	LR: 0.100000
Training Epoch: 2 [45824/48750]	Loss: 0.3005	LR: 0.100000
Training Epoch: 2 [46080/48750]	Loss: 0.2840	LR: 0.100000
Training Epoch: 2 [46336/48750]	Loss: 0.2631	LR: 0.100000
Training Epoch: 2 [46592/48750]	Loss: 0.1865	LR: 0.100000
Training Epoch: 2 [46848/48750]	Loss: 0.2031	LR: 0.100000
Training Epoch: 2 [47104/48750]	Loss: 0.1723	LR: 0.100000
Training Epoch: 2 [47360/48750]	Loss: 0.4018	LR: 0.100000
Training Epoch: 2 [47616/48750]	Loss: 0.2040	LR: 0.100000
Training Epoch: 2 [47872/48750]	Loss: 0.2990	LR: 0.100000
Training Epoch: 2 [48128/48750]	Loss: 0.1944	LR: 0.100000
Training Epoch: 2 [48384/48750]	Loss: 0.4073	LR: 0.100000
Training Epoch: 2 [48640/48750]	Loss: 0.3014	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 0.3125	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2223, Train Accuracy: 0.9265
Epoch 2 training time consumed: 351.72s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0012, Accuracy: 0.9090, Time consumed:23.44s
Training Epoch: 3 [256/48750]	Loss: 0.4120	LR: 0.100000
Training Epoch: 3 [512/48750]	Loss: 0.2230	LR: 0.100000
Training Epoch: 3 [768/48750]	Loss: 0.2091	LR: 0.100000
Training Epoch: 3 [1024/48750]	Loss: 0.2215	LR: 0.100000
Training Epoch: 3 [1280/48750]	Loss: 0.3869	LR: 0.100000
Training Epoch: 3 [1536/48750]	Loss: 0.2445	LR: 0.100000
Training Epoch: 3 [1792/48750]	Loss: 0.3558	LR: 0.100000
Training Epoch: 3 [2048/48750]	Loss: 0.2079	LR: 0.100000
Training Epoch: 3 [2304/48750]	Loss: 0.2614	LR: 0.100000
Training Epoch: 3 [2560/48750]	Loss: 0.3135	LR: 0.100000
Training Epoch: 3 [2816/48750]	Loss: 0.2233	LR: 0.100000
Training Epoch: 3 [3072/48750]	Loss: 0.2850	LR: 0.100000
Training Epoch: 3 [3328/48750]	Loss: 0.3346	LR: 0.100000
Training Epoch: 3 [3584/48750]	Loss: 0.2489	LR: 0.100000
Training Epoch: 3 [3840/48750]	Loss: 0.3195	LR: 0.100000
Training Epoch: 3 [4096/48750]	Loss: 0.3125	LR: 0.100000
Training Epoch: 3 [4352/48750]	Loss: 0.2119	LR: 0.100000
Training Epoch: 3 [4608/48750]	Loss: 0.3531	LR: 0.100000
Training Epoch: 3 [4864/48750]	Loss: 0.2001	LR: 0.100000
Training Epoch: 3 [5120/48750]	Loss: 0.2422	LR: 0.100000
Training Epoch: 3 [5376/48750]	Loss: 0.2641	LR: 0.100000
Training Epoch: 3 [5632/48750]	Loss: 0.2424	LR: 0.100000
Training Epoch: 3 [5888/48750]	Loss: 0.1674	LR: 0.100000
Training Epoch: 3 [6144/48750]	Loss: 0.2181	LR: 0.100000
Training Epoch: 3 [6400/48750]	Loss: 0.1858	LR: 0.100000
Training Epoch: 3 [6656/48750]	Loss: 0.2219	LR: 0.100000
Training Epoch: 3 [6912/48750]	Loss: 0.2141	LR: 0.100000
Training Epoch: 3 [7168/48750]	Loss: 0.2501	LR: 0.100000
Training Epoch: 3 [7424/48750]	Loss: 0.1531	LR: 0.100000
Training Epoch: 3 [7680/48750]	Loss: 0.2367	LR: 0.100000
Training Epoch: 3 [7936/48750]	Loss: 0.1890	LR: 0.100000
Training Epoch: 3 [8192/48750]	Loss: 0.2324	LR: 0.100000
Training Epoch: 3 [8448/48750]	Loss: 0.2884	LR: 0.100000
Training Epoch: 3 [8704/48750]	Loss: 0.2160	LR: 0.100000
Training Epoch: 3 [8960/48750]	Loss: 0.2114	LR: 0.100000
Training Epoch: 3 [9216/48750]	Loss: 0.3037	LR: 0.100000
Training Epoch: 3 [9472/48750]	Loss: 0.2070	LR: 0.100000
Training Epoch: 3 [9728/48750]	Loss: 0.1472	LR: 0.100000
Training Epoch: 3 [9984/48750]	Loss: 0.1793	LR: 0.100000
Training Epoch: 3 [10240/48750]	Loss: 0.2179	LR: 0.100000
Training Epoch: 3 [10496/48750]	Loss: 0.2904	LR: 0.100000
Training Epoch: 3 [10752/48750]	Loss: 0.2138	LR: 0.100000
Training Epoch: 3 [11008/48750]	Loss: 0.1747	LR: 0.100000
Training Epoch: 3 [11264/48750]	Loss: 0.1951	LR: 0.100000
Training Epoch: 3 [11520/48750]	Loss: 0.1109	LR: 0.100000
Training Epoch: 3 [11776/48750]	Loss: 0.1646	LR: 0.100000
Training Epoch: 3 [12032/48750]	Loss: 0.2348	LR: 0.100000
Training Epoch: 3 [12288/48750]	Loss: 0.1592	LR: 0.100000
Training Epoch: 3 [12544/48750]	Loss: 0.2109	LR: 0.100000
Training Epoch: 3 [12800/48750]	Loss: 0.2055	LR: 0.100000
Training Epoch: 3 [13056/48750]	Loss: 0.2012	LR: 0.100000
Training Epoch: 3 [13312/48750]	Loss: 0.1895	LR: 0.100000
Training Epoch: 3 [13568/48750]	Loss: 0.1681	LR: 0.100000
Training Epoch: 3 [13824/48750]	Loss: 0.2116	LR: 0.100000
Training Epoch: 3 [14080/48750]	Loss: 0.1742	LR: 0.100000
Training Epoch: 3 [14336/48750]	Loss: 0.1653	LR: 0.100000
Training Epoch: 3 [14592/48750]	Loss: 0.2360	LR: 0.100000
Training Epoch: 3 [14848/48750]	Loss: 0.2055	LR: 0.100000
Training Epoch: 3 [15104/48750]	Loss: 0.1705	LR: 0.100000
Training Epoch: 3 [15360/48750]	Loss: 0.1226	LR: 0.100000
Training Epoch: 3 [15616/48750]	Loss: 0.1664	LR: 0.100000
Training Epoch: 3 [15872/48750]	Loss: 0.1951	LR: 0.100000
Training Epoch: 3 [16128/48750]	Loss: 0.1919	LR: 0.100000
Training Epoch: 3 [16384/48750]	Loss: 0.1219	LR: 0.100000
Training Epoch: 3 [16640/48750]	Loss: 0.2116	LR: 0.100000
Training Epoch: 3 [16896/48750]	Loss: 0.1120	LR: 0.100000
Training Epoch: 3 [17152/48750]	Loss: 0.1729	LR: 0.100000
Training Epoch: 3 [17408/48750]	Loss: 0.1354	LR: 0.100000
Training Epoch: 3 [17664/48750]	Loss: 0.2114	LR: 0.100000
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Training Epoch: 3 [18432/48750]	Loss: 0.1312	LR: 0.100000
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Training Epoch: 3 [18944/48750]	Loss: 0.1504	LR: 0.100000
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Training Epoch: 3 [19456/48750]	Loss: 0.0827	LR: 0.100000
Training Epoch: 3 [19712/48750]	Loss: 0.0901	LR: 0.100000
Training Epoch: 3 [19968/48750]	Loss: 0.1615	LR: 0.100000
Training Epoch: 3 [20224/48750]	Loss: 0.1861	LR: 0.100000
Training Epoch: 3 [20480/48750]	Loss: 0.2117	LR: 0.100000
Training Epoch: 3 [20736/48750]	Loss: 0.2618	LR: 0.100000
Training Epoch: 3 [20992/48750]	Loss: 0.1188	LR: 0.100000
Training Epoch: 3 [21248/48750]	Loss: 0.2267	LR: 0.100000
Training Epoch: 3 [21504/48750]	Loss: 0.1872	LR: 0.100000
Training Epoch: 3 [21760/48750]	Loss: 0.2655	LR: 0.100000
Training Epoch: 3 [22016/48750]	Loss: 0.1243	LR: 0.100000
Training Epoch: 3 [22272/48750]	Loss: 0.1745	LR: 0.100000
Training Epoch: 3 [22528/48750]	Loss: 0.2360	LR: 0.100000
Training Epoch: 3 [22784/48750]	Loss: 0.1236	LR: 0.100000
Training Epoch: 3 [23040/48750]	Loss: 0.1593	LR: 0.100000
Training Epoch: 3 [23296/48750]	Loss: 0.1903	LR: 0.100000
Training Epoch: 3 [23552/48750]	Loss: 0.1096	LR: 0.100000
Training Epoch: 3 [23808/48750]	Loss: 0.1299	LR: 0.100000
Training Epoch: 3 [24064/48750]	Loss: 0.1569	LR: 0.100000
Training Epoch: 3 [24320/48750]	Loss: 0.1023	LR: 0.100000
Training Epoch: 3 [24576/48750]	Loss: 0.1278	LR: 0.100000
Training Epoch: 3 [24832/48750]	Loss: 0.2180	LR: 0.100000
Training Epoch: 3 [25088/48750]	Loss: 0.1458	LR: 0.100000
Training Epoch: 3 [25344/48750]	Loss: 0.1631	LR: 0.100000
Training Epoch: 3 [25600/48750]	Loss: 0.1424	LR: 0.100000
Training Epoch: 3 [25856/48750]	Loss: 0.1544	LR: 0.100000
Training Epoch: 3 [26112/48750]	Loss: 0.1019	LR: 0.100000
Training Epoch: 3 [26368/48750]	Loss: 0.0852	LR: 0.100000
Training Epoch: 3 [26624/48750]	Loss: 0.1257	LR: 0.100000
Training Epoch: 3 [26880/48750]	Loss: 0.1307	LR: 0.100000
Training Epoch: 3 [27136/48750]	Loss: 0.1165	LR: 0.100000
Training Epoch: 3 [27392/48750]	Loss: 0.1616	LR: 0.100000
Training Epoch: 3 [27648/48750]	Loss: 0.1102	LR: 0.100000
Training Epoch: 3 [27904/48750]	Loss: 0.1133	LR: 0.100000
Training Epoch: 3 [28160/48750]	Loss: 0.1403	LR: 0.100000
Training Epoch: 3 [28416/48750]	Loss: 0.1799	LR: 0.100000
Training Epoch: 3 [28672/48750]	Loss: 0.0994	LR: 0.100000
Training Epoch: 3 [28928/48750]	Loss: 0.1307	LR: 0.100000
Training Epoch: 3 [29184/48750]	Loss: 0.1367	LR: 0.100000
Training Epoch: 3 [29440/48750]	Loss: 0.2025	LR: 0.100000
Training Epoch: 3 [29696/48750]	Loss: 0.1997	LR: 0.100000
Training Epoch: 3 [29952/48750]	Loss: 0.1383	LR: 0.100000
Training Epoch: 3 [30208/48750]	Loss: 0.1669	LR: 0.100000
Training Epoch: 3 [30464/48750]	Loss: 0.1990	LR: 0.100000
Training Epoch: 3 [30720/48750]	Loss: 0.2189	LR: 0.100000
Training Epoch: 3 [30976/48750]	Loss: 0.1733	LR: 0.100000
Training Epoch: 3 [31232/48750]	Loss: 0.0857	LR: 0.100000
Training Epoch: 3 [31488/48750]	Loss: 0.1549	LR: 0.100000
Training Epoch: 3 [31744/48750]	Loss: 0.1528	LR: 0.100000
Training Epoch: 3 [32000/48750]	Loss: 0.1736	LR: 0.100000
Training Epoch: 3 [32256/48750]	Loss: 0.1434	LR: 0.100000
Training Epoch: 3 [32512/48750]	Loss: 0.1639	LR: 0.100000
Training Epoch: 3 [32768/48750]	Loss: 0.1760	LR: 0.100000
Training Epoch: 3 [33024/48750]	Loss: 0.1901	LR: 0.100000
Training Epoch: 3 [33280/48750]	Loss: 0.1308	LR: 0.100000
Training Epoch: 3 [33536/48750]	Loss: 0.1531	LR: 0.100000
Training Epoch: 3 [33792/48750]	Loss: 0.2053	LR: 0.100000
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Training Epoch: 3 [34304/48750]	Loss: 0.2016	LR: 0.100000
Training Epoch: 3 [34560/48750]	Loss: 0.1754	LR: 0.100000
Training Epoch: 3 [34816/48750]	Loss: 0.1314	LR: 0.100000
Training Epoch: 3 [35072/48750]	Loss: 0.1777	LR: 0.100000
Training Epoch: 3 [35328/48750]	Loss: 0.1863	LR: 0.100000
Training Epoch: 3 [35584/48750]	Loss: 0.1889	LR: 0.100000
Training Epoch: 3 [35840/48750]	Loss: 0.1754	LR: 0.100000
Training Epoch: 3 [36096/48750]	Loss: 0.2369	LR: 0.100000
Training Epoch: 3 [36352/48750]	Loss: 0.2077	LR: 0.100000
Training Epoch: 3 [36608/48750]	Loss: 0.1442	LR: 0.100000
Training Epoch: 3 [36864/48750]	Loss: 0.2179	LR: 0.100000
Training Epoch: 3 [37120/48750]	Loss: 0.1632	LR: 0.100000
Training Epoch: 3 [37376/48750]	Loss: 0.1322	LR: 0.100000
Training Epoch: 3 [37632/48750]	Loss: 0.1896	LR: 0.100000
Training Epoch: 3 [37888/48750]	Loss: 0.1593	LR: 0.100000
Training Epoch: 3 [38144/48750]	Loss: 0.1311	LR: 0.100000
Training Epoch: 3 [38400/48750]	Loss: 0.1630	LR: 0.100000
Training Epoch: 3 [38656/48750]	Loss: 0.1543	LR: 0.100000
Training Epoch: 3 [38912/48750]	Loss: 0.2052	LR: 0.100000
Training Epoch: 3 [39168/48750]	Loss: 0.1987	LR: 0.100000
Training Epoch: 3 [39424/48750]	Loss: 0.0969	LR: 0.100000
Training Epoch: 3 [39680/48750]	Loss: 0.1339	LR: 0.100000
Training Epoch: 3 [39936/48750]	Loss: 0.1869	LR: 0.100000
Training Epoch: 3 [40192/48750]	Loss: 0.2274	LR: 0.100000
Training Epoch: 3 [40448/48750]	Loss: 0.1884	LR: 0.100000
Training Epoch: 3 [40704/48750]	Loss: 0.1377	LR: 0.100000
Training Epoch: 3 [40960/48750]	Loss: 0.1328	LR: 0.100000
Training Epoch: 3 [41216/48750]	Loss: 0.2121	LR: 0.100000
Training Epoch: 3 [41472/48750]	Loss: 0.1633	LR: 0.100000
Training Epoch: 3 [41728/48750]	Loss: 0.1670	LR: 0.100000
Training Epoch: 3 [41984/48750]	Loss: 0.1902	LR: 0.100000
Training Epoch: 3 [42240/48750]	Loss: 0.1316	LR: 0.100000
Training Epoch: 3 [42496/48750]	Loss: 0.1975	LR: 0.100000
Training Epoch: 3 [42752/48750]	Loss: 0.1473	LR: 0.100000
Training Epoch: 3 [43008/48750]	Loss: 0.1168	LR: 0.100000
Training Epoch: 3 [43264/48750]	Loss: 0.1041	LR: 0.100000
Training Epoch: 3 [43520/48750]	Loss: 0.1976	LR: 0.100000
Training Epoch: 3 [43776/48750]	Loss: 0.1176	LR: 0.100000
Training Epoch: 3 [44032/48750]	Loss: 0.1682	LR: 0.100000
Training Epoch: 3 [44288/48750]	Loss: 0.1714	LR: 0.100000
Training Epoch: 3 [44544/48750]	Loss: 0.2504	LR: 0.100000
Training Epoch: 3 [44800/48750]	Loss: 0.1244	LR: 0.100000
Training Epoch: 3 [45056/48750]	Loss: 0.1027	LR: 0.100000
Training Epoch: 3 [45312/48750]	Loss: 0.1547	LR: 0.100000
Training Epoch: 3 [45568/48750]	Loss: 0.1003	LR: 0.100000
Training Epoch: 3 [45824/48750]	Loss: 0.0974	LR: 0.100000
Training Epoch: 3 [46080/48750]	Loss: 0.1043	LR: 0.100000
Training Epoch: 3 [46336/48750]	Loss: 0.1475	LR: 0.100000
Training Epoch: 3 [46592/48750]	Loss: 0.1886	LR: 0.100000
Training Epoch: 3 [46848/48750]	Loss: 0.1143	LR: 0.100000
Training Epoch: 3 [47104/48750]	Loss: 0.0881	LR: 0.100000
Training Epoch: 3 [47360/48750]	Loss: 0.1471	LR: 0.100000
Training Epoch: 3 [47616/48750]	Loss: 0.1439	LR: 0.100000
Training Epoch: 3 [47872/48750]	Loss: 0.1692	LR: 0.100000
Training Epoch: 3 [48128/48750]	Loss: 0.1022	LR: 0.100000
Training Epoch: 3 [48384/48750]	Loss: 0.1959	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.1728	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.2439	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1804, Train Accuracy: 0.9380
Epoch 3 training time consumed: 351.94s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0004, Accuracy: 0.9670, Time consumed:23.43s
Saving weights file to checkpoint/retrain/ViT/Sunday_20_July_2025_12h_01m_46s/ViT-Cifar10-seed9-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.1814	LR: 0.100000
Training Epoch: 4 [512/48750]	Loss: 0.1073	LR: 0.100000
Training Epoch: 4 [768/48750]	Loss: 0.1032	LR: 0.100000
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Training Epoch: 4 [47616/48750]	Loss: 0.0998	LR: 0.100000
Training Epoch: 4 [47872/48750]	Loss: 0.1658	LR: 0.100000
Training Epoch: 4 [48128/48750]	Loss: 0.1432	LR: 0.100000
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Training Epoch: 4 [48640/48750]	Loss: 0.1018	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 0.1605	LR: 0.100000
Epoch 4 - Average Train Loss: 0.1536, Train Accuracy: 0.9478
Epoch 4 training time consumed: 351.84s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0006, Accuracy: 0.9494, Time consumed:23.43s
Training Epoch: 5 [256/48750]	Loss: 0.1734	LR: 0.100000
Training Epoch: 5 [512/48750]	Loss: 0.1509	LR: 0.100000
Training Epoch: 5 [768/48750]	Loss: 0.1091	LR: 0.100000
Training Epoch: 5 [1024/48750]	Loss: 0.1086	LR: 0.100000
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Training Epoch: 5 [1536/48750]	Loss: 0.1296	LR: 0.100000
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Training Epoch: 5 [26624/48750]	Loss: 0.1724	LR: 0.100000
Training Epoch: 5 [26880/48750]	Loss: 0.1977	LR: 0.100000
Training Epoch: 5 [27136/48750]	Loss: 0.1266	LR: 0.100000
Training Epoch: 5 [27392/48750]	Loss: 0.1880	LR: 0.100000
Training Epoch: 5 [27648/48750]	Loss: 0.1679	LR: 0.100000
Training Epoch: 5 [27904/48750]	Loss: 0.1794	LR: 0.100000
Training Epoch: 5 [28160/48750]	Loss: 0.1105	LR: 0.100000
Training Epoch: 5 [28416/48750]	Loss: 0.1592	LR: 0.100000
Training Epoch: 5 [28672/48750]	Loss: 0.1695	LR: 0.100000
Training Epoch: 5 [28928/48750]	Loss: 0.1345	LR: 0.100000
Training Epoch: 5 [29184/48750]	Loss: 0.1925	LR: 0.100000
Training Epoch: 5 [29440/48750]	Loss: 0.1242	LR: 0.100000
Training Epoch: 5 [29696/48750]	Loss: 0.1477	LR: 0.100000
Training Epoch: 5 [29952/48750]	Loss: 0.2061	LR: 0.100000
Training Epoch: 5 [30208/48750]	Loss: 0.1387	LR: 0.100000
Training Epoch: 5 [30464/48750]	Loss: 0.0703	LR: 0.100000
Training Epoch: 5 [30720/48750]	Loss: 0.1046	LR: 0.100000
Training Epoch: 5 [30976/48750]	Loss: 0.1689	LR: 0.100000
Training Epoch: 5 [31232/48750]	Loss: 0.1606	LR: 0.100000
Training Epoch: 5 [31488/48750]	Loss: 0.1392	LR: 0.100000
Training Epoch: 5 [31744/48750]	Loss: 0.2011	LR: 0.100000
Training Epoch: 5 [32000/48750]	Loss: 0.2055	LR: 0.100000
Training Epoch: 5 [32256/48750]	Loss: 0.2231	LR: 0.100000
Training Epoch: 5 [32512/48750]	Loss: 0.1924	LR: 0.100000
Training Epoch: 5 [32768/48750]	Loss: 0.1614	LR: 0.100000
Training Epoch: 5 [33024/48750]	Loss: 0.1110	LR: 0.100000
Training Epoch: 5 [33280/48750]	Loss: 0.1080	LR: 0.100000
Training Epoch: 5 [33536/48750]	Loss: 0.1738	LR: 0.100000
Training Epoch: 5 [33792/48750]	Loss: 0.1445	LR: 0.100000
Training Epoch: 5 [34048/48750]	Loss: 0.1854	LR: 0.100000
Training Epoch: 5 [34304/48750]	Loss: 0.2073	LR: 0.100000
Training Epoch: 5 [34560/48750]	Loss: 0.2091	LR: 0.100000
Training Epoch: 5 [34816/48750]	Loss: 0.2085	LR: 0.100000
Training Epoch: 5 [35072/48750]	Loss: 0.1740	LR: 0.100000
Training Epoch: 5 [35328/48750]	Loss: 0.1521	LR: 0.100000
Training Epoch: 5 [35584/48750]	Loss: 0.1152	LR: 0.100000
Training Epoch: 5 [35840/48750]	Loss: 0.2026	LR: 0.100000
Training Epoch: 5 [36096/48750]	Loss: 0.1375	LR: 0.100000
Training Epoch: 5 [36352/48750]	Loss: 0.1312	LR: 0.100000
Training Epoch: 5 [36608/48750]	Loss: 0.1069	LR: 0.100000
Training Epoch: 5 [36864/48750]	Loss: 0.1337	LR: 0.100000
Training Epoch: 5 [37120/48750]	Loss: 0.1568	LR: 0.100000
Training Epoch: 5 [37376/48750]	Loss: 0.1803	LR: 0.100000
Training Epoch: 5 [37632/48750]	Loss: 0.1932	LR: 0.100000
Training Epoch: 5 [37888/48750]	Loss: 0.1301	LR: 0.100000
Training Epoch: 5 [38144/48750]	Loss: 0.1311	LR: 0.100000
Training Epoch: 5 [38400/48750]	Loss: 0.1403	LR: 0.100000
Training Epoch: 5 [38656/48750]	Loss: 0.1687	LR: 0.100000
Training Epoch: 5 [38912/48750]	Loss: 0.1247	LR: 0.100000
Training Epoch: 5 [39168/48750]	Loss: 0.1491	LR: 0.100000
Training Epoch: 5 [39424/48750]	Loss: 0.1342	LR: 0.100000
Training Epoch: 5 [39680/48750]	Loss: 0.0953	LR: 0.100000
Training Epoch: 5 [39936/48750]	Loss: 0.1494	LR: 0.100000
Training Epoch: 5 [40192/48750]	Loss: 0.1757	LR: 0.100000
Training Epoch: 5 [40448/48750]	Loss: 0.2011	LR: 0.100000
Training Epoch: 5 [40704/48750]	Loss: 0.1621	LR: 0.100000
Training Epoch: 5 [40960/48750]	Loss: 0.2176	LR: 0.100000
Training Epoch: 5 [41216/48750]	Loss: 0.1737	LR: 0.100000
Training Epoch: 5 [41472/48750]	Loss: 0.1782	LR: 0.100000
Training Epoch: 5 [41728/48750]	Loss: 0.0961	LR: 0.100000
Training Epoch: 5 [41984/48750]	Loss: 0.1790	LR: 0.100000
Training Epoch: 5 [42240/48750]	Loss: 0.1907	LR: 0.100000
Training Epoch: 5 [42496/48750]	Loss: 0.1835	LR: 0.100000
Training Epoch: 5 [42752/48750]	Loss: 0.1512	LR: 0.100000
Training Epoch: 5 [43008/48750]	Loss: 0.1631	LR: 0.100000
Training Epoch: 5 [43264/48750]	Loss: 0.2046	LR: 0.100000
Training Epoch: 5 [43520/48750]	Loss: 0.3166	LR: 0.100000
Training Epoch: 5 [43776/48750]	Loss: 0.1728	LR: 0.100000
Training Epoch: 5 [44032/48750]	Loss: 0.1520	LR: 0.100000
Training Epoch: 5 [44288/48750]	Loss: 0.2109	LR: 0.100000
Training Epoch: 5 [44544/48750]	Loss: 0.1735	LR: 0.100000
Training Epoch: 5 [44800/48750]	Loss: 0.1774	LR: 0.100000
Training Epoch: 5 [45056/48750]	Loss: 0.1630	LR: 0.100000
Training Epoch: 5 [45312/48750]	Loss: 0.1959	LR: 0.100000
Training Epoch: 5 [45568/48750]	Loss: 0.2201	LR: 0.100000
Training Epoch: 5 [45824/48750]	Loss: 0.1755	LR: 0.100000
Training Epoch: 5 [46080/48750]	Loss: 0.1583	LR: 0.100000
Training Epoch: 5 [46336/48750]	Loss: 0.1908	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.1635	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.1814	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.1252	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.1853	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.1270	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.2090	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.1675	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.2133	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.1978	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.1855	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1624, Train Accuracy: 0.9440
Epoch 5 training time consumed: 351.91s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0009, Accuracy: 0.9277, Time consumed:23.44s
Training Epoch: 6 [256/48750]	Loss: 0.2243	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.1612	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.2118	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.2011	LR: 0.100000
Training Epoch: 6 [1280/48750]	Loss: 0.2379	LR: 0.100000
Training Epoch: 6 [1536/48750]	Loss: 0.1391	LR: 0.100000
Training Epoch: 6 [1792/48750]	Loss: 0.1774	LR: 0.100000
Training Epoch: 6 [2048/48750]	Loss: 0.1524	LR: 0.100000
Training Epoch: 6 [2304/48750]	Loss: 0.1653	LR: 0.100000
Training Epoch: 6 [2560/48750]	Loss: 0.1379	LR: 0.100000
Training Epoch: 6 [2816/48750]	Loss: 0.1980	LR: 0.100000
Training Epoch: 6 [3072/48750]	Loss: 0.1485	LR: 0.100000
Training Epoch: 6 [3328/48750]	Loss: 0.2744	LR: 0.100000
Training Epoch: 6 [3584/48750]	Loss: 0.1491	LR: 0.100000
Training Epoch: 6 [3840/48750]	Loss: 0.1896	LR: 0.100000
Training Epoch: 6 [4096/48750]	Loss: 0.1794	LR: 0.100000
Training Epoch: 6 [4352/48750]	Loss: 0.2766	LR: 0.100000
Training Epoch: 6 [4608/48750]	Loss: 0.2661	LR: 0.100000
Training Epoch: 6 [4864/48750]	Loss: 0.2284	LR: 0.100000
Training Epoch: 6 [5120/48750]	Loss: 0.4356	LR: 0.100000
Training Epoch: 6 [5376/48750]	Loss: 0.1930	LR: 0.100000
Training Epoch: 6 [5632/48750]	Loss: 0.3001	LR: 0.100000
Training Epoch: 6 [5888/48750]	Loss: 0.2927	LR: 0.100000
Training Epoch: 6 [6144/48750]	Loss: 0.1389	LR: 0.100000
Training Epoch: 6 [6400/48750]	Loss: 0.2275	LR: 0.100000
Training Epoch: 6 [6656/48750]	Loss: 0.1454	LR: 0.100000
Training Epoch: 6 [6912/48750]	Loss: 0.2695	LR: 0.100000
Training Epoch: 6 [7168/48750]	Loss: 0.1496	LR: 0.100000
Training Epoch: 6 [7424/48750]	Loss: 0.1438	LR: 0.100000
Training Epoch: 6 [7680/48750]	Loss: 0.1934	LR: 0.100000
Training Epoch: 6 [7936/48750]	Loss: 0.3074	LR: 0.100000
Training Epoch: 6 [8192/48750]	Loss: 0.2220	LR: 0.100000
Training Epoch: 6 [8448/48750]	Loss: 0.2265	LR: 0.100000
Training Epoch: 6 [8704/48750]	Loss: 0.2485	LR: 0.100000
Training Epoch: 6 [8960/48750]	Loss: 0.1650	LR: 0.100000
Training Epoch: 6 [9216/48750]	Loss: 0.2329	LR: 0.100000
Training Epoch: 6 [9472/48750]	Loss: 0.1968	LR: 0.100000
Training Epoch: 6 [9728/48750]	Loss: 0.2558	LR: 0.100000
Training Epoch: 6 [9984/48750]	Loss: 0.2446	LR: 0.100000
Training Epoch: 6 [10240/48750]	Loss: 0.1651	LR: 0.100000
Training Epoch: 6 [10496/48750]	Loss: 0.1640	LR: 0.100000
Training Epoch: 6 [10752/48750]	Loss: 0.1337	LR: 0.100000
Training Epoch: 6 [11008/48750]	Loss: 0.1977	LR: 0.100000
Training Epoch: 6 [11264/48750]	Loss: 0.1719	LR: 0.100000
Training Epoch: 6 [11520/48750]	Loss: 0.1854	LR: 0.100000
Training Epoch: 6 [11776/48750]	Loss: 0.2302	LR: 0.100000
Training Epoch: 6 [12032/48750]	Loss: 0.1208	LR: 0.100000
Training Epoch: 6 [12288/48750]	Loss: 0.1670	LR: 0.100000
Training Epoch: 6 [12544/48750]	Loss: 0.1653	LR: 0.100000
Training Epoch: 6 [12800/48750]	Loss: 0.1935	LR: 0.100000
Training Epoch: 6 [13056/48750]	Loss: 0.2710	LR: 0.100000
Training Epoch: 6 [13312/48750]	Loss: 0.1662	LR: 0.100000
Training Epoch: 6 [13568/48750]	Loss: 0.2475	LR: 0.100000
Training Epoch: 6 [13824/48750]	Loss: 0.1692	LR: 0.100000
Training Epoch: 6 [14080/48750]	Loss: 0.2137	LR: 0.100000
Training Epoch: 6 [14336/48750]	Loss: 0.1832	LR: 0.100000
Training Epoch: 6 [14592/48750]	Loss: 0.2100	LR: 0.100000
Training Epoch: 6 [14848/48750]	Loss: 0.2047	LR: 0.100000
Training Epoch: 6 [15104/48750]	Loss: 0.2102	LR: 0.100000
Training Epoch: 6 [15360/48750]	Loss: 0.2401	LR: 0.100000
Training Epoch: 6 [15616/48750]	Loss: 0.1380	LR: 0.100000
Training Epoch: 6 [15872/48750]	Loss: 0.1626	LR: 0.100000
Training Epoch: 6 [16128/48750]	Loss: 0.2303	LR: 0.100000
Training Epoch: 6 [16384/48750]	Loss: 0.2481	LR: 0.100000
Training Epoch: 6 [16640/48750]	Loss: 0.1775	LR: 0.100000
Training Epoch: 6 [16896/48750]	Loss: 0.2750	LR: 0.100000
Training Epoch: 6 [17152/48750]	Loss: 0.1535	LR: 0.100000
Training Epoch: 6 [17408/48750]	Loss: 0.1268	LR: 0.100000
Training Epoch: 6 [17664/48750]	Loss: 0.2297	LR: 0.100000
Training Epoch: 6 [17920/48750]	Loss: 0.2351	LR: 0.100000
Training Epoch: 6 [18176/48750]	Loss: 0.1791	LR: 0.100000
Training Epoch: 6 [18432/48750]	Loss: 0.1768	LR: 0.100000
Training Epoch: 6 [18688/48750]	Loss: 0.2433	LR: 0.100000
Training Epoch: 6 [18944/48750]	Loss: 0.1888	LR: 0.100000
Training Epoch: 6 [19200/48750]	Loss: 0.1762	LR: 0.100000
Training Epoch: 6 [19456/48750]	Loss: 0.1841	LR: 0.100000
Training Epoch: 6 [19712/48750]	Loss: 0.2254	LR: 0.100000
Training Epoch: 6 [19968/48750]	Loss: 0.2228	LR: 0.100000
Training Epoch: 6 [20224/48750]	Loss: 0.1171	LR: 0.100000
Training Epoch: 6 [20480/48750]	Loss: 0.1543	LR: 0.100000
Training Epoch: 6 [20736/48750]	Loss: 0.1114	LR: 0.100000
Training Epoch: 6 [20992/48750]	Loss: 0.1623	LR: 0.100000
Training Epoch: 6 [21248/48750]	Loss: 0.1706	LR: 0.100000
Training Epoch: 6 [21504/48750]	Loss: 0.2322	LR: 0.100000
Training Epoch: 6 [21760/48750]	Loss: 0.2499	LR: 0.100000
Training Epoch: 6 [22016/48750]	Loss: 0.2851	LR: 0.100000
Training Epoch: 6 [22272/48750]	Loss: 0.1839	LR: 0.100000
Training Epoch: 6 [22528/48750]	Loss: 0.1966	LR: 0.100000
Training Epoch: 6 [22784/48750]	Loss: 0.2434	LR: 0.100000
Training Epoch: 6 [23040/48750]	Loss: 0.2509	LR: 0.100000
Training Epoch: 6 [23296/48750]	Loss: 0.1963	LR: 0.100000
Training Epoch: 6 [23552/48750]	Loss: 0.2237	LR: 0.100000
Training Epoch: 6 [23808/48750]	Loss: 0.2099	LR: 0.100000
Training Epoch: 6 [24064/48750]	Loss: 0.1714	LR: 0.100000
Training Epoch: 6 [24320/48750]	Loss: 0.1907	LR: 0.100000
Training Epoch: 6 [24576/48750]	Loss: 0.1677	LR: 0.100000
Training Epoch: 6 [24832/48750]	Loss: 0.1730	LR: 0.100000
Training Epoch: 6 [25088/48750]	Loss: 0.1001	LR: 0.100000
Training Epoch: 6 [25344/48750]	Loss: 0.1246	LR: 0.100000
Training Epoch: 6 [25600/48750]	Loss: 0.1687	LR: 0.100000
Training Epoch: 6 [25856/48750]	Loss: 0.2035	LR: 0.100000
Training Epoch: 6 [26112/48750]	Loss: 0.1044	LR: 0.100000
Training Epoch: 6 [26368/48750]	Loss: 0.2332	LR: 0.100000
Training Epoch: 6 [26624/48750]	Loss: 0.1774	LR: 0.100000
Training Epoch: 6 [26880/48750]	Loss: 0.2341	LR: 0.100000
Training Epoch: 6 [27136/48750]	Loss: 0.1632	LR: 0.100000
Training Epoch: 6 [27392/48750]	Loss: 0.3018	LR: 0.100000
Training Epoch: 6 [27648/48750]	Loss: 0.1676	LR: 0.100000
Training Epoch: 6 [27904/48750]	Loss: 0.1905	LR: 0.100000
Training Epoch: 6 [28160/48750]	Loss: 0.2480	LR: 0.100000
Training Epoch: 6 [28416/48750]	Loss: 0.2187	LR: 0.100000
Training Epoch: 6 [28672/48750]	Loss: 0.1702	LR: 0.100000
Training Epoch: 6 [28928/48750]	Loss: 0.1703	LR: 0.100000
Training Epoch: 6 [29184/48750]	Loss: 0.2084	LR: 0.100000
Training Epoch: 6 [29440/48750]	Loss: 0.1633	LR: 0.100000
Training Epoch: 6 [29696/48750]	Loss: 0.2085	LR: 0.100000
Training Epoch: 6 [29952/48750]	Loss: 0.1494	LR: 0.100000
Training Epoch: 6 [30208/48750]	Loss: 0.1799	LR: 0.100000
Training Epoch: 6 [30464/48750]	Loss: 0.1025	LR: 0.100000
Training Epoch: 6 [30720/48750]	Loss: 0.1698	LR: 0.100000
Training Epoch: 6 [30976/48750]	Loss: 0.1695	LR: 0.100000
Training Epoch: 6 [31232/48750]	Loss: 0.1929	LR: 0.100000
Training Epoch: 6 [31488/48750]	Loss: 0.1073	LR: 0.100000
Training Epoch: 6 [31744/48750]	Loss: 0.1821	LR: 0.100000
Training Epoch: 6 [32000/48750]	Loss: 0.1971	LR: 0.100000
Training Epoch: 6 [32256/48750]	Loss: 0.1392	LR: 0.100000
Training Epoch: 6 [32512/48750]	Loss: 0.1608	LR: 0.100000
Training Epoch: 6 [32768/48750]	Loss: 0.1987	LR: 0.100000
Training Epoch: 6 [33024/48750]	Loss: 0.1695	LR: 0.100000
Training Epoch: 6 [33280/48750]	Loss: 0.1819	LR: 0.100000
Training Epoch: 6 [33536/48750]	Loss: 0.2239	LR: 0.100000
Training Epoch: 6 [33792/48750]	Loss: 0.1746	LR: 0.100000
Training Epoch: 6 [34048/48750]	Loss: 0.1521	LR: 0.100000
Training Epoch: 6 [34304/48750]	Loss: 0.1788	LR: 0.100000
Training Epoch: 6 [34560/48750]	Loss: 0.2389	LR: 0.100000
Training Epoch: 6 [34816/48750]	Loss: 0.1951	LR: 0.100000
Training Epoch: 6 [35072/48750]	Loss: 0.2474	LR: 0.100000
Training Epoch: 6 [35328/48750]	Loss: 0.1395	LR: 0.100000
Training Epoch: 6 [35584/48750]	Loss: 0.1743	LR: 0.100000
Training Epoch: 6 [35840/48750]	Loss: 0.1372	LR: 0.100000
Training Epoch: 6 [36096/48750]	Loss: 0.2954	LR: 0.100000
Training Epoch: 6 [36352/48750]	Loss: 0.1551	LR: 0.100000
Training Epoch: 6 [36608/48750]	Loss: 0.2411	LR: 0.100000
Training Epoch: 6 [36864/48750]	Loss: 0.2858	LR: 0.100000
Training Epoch: 6 [37120/48750]	Loss: 0.2457	LR: 0.100000
Training Epoch: 6 [37376/48750]	Loss: 0.1660	LR: 0.100000
Training Epoch: 6 [37632/48750]	Loss: 0.3123	LR: 0.100000
Training Epoch: 6 [37888/48750]	Loss: 0.1146	LR: 0.100000
Training Epoch: 6 [38144/48750]	Loss: 0.3565	LR: 0.100000
Training Epoch: 6 [38400/48750]	Loss: 0.2530	LR: 0.100000
Training Epoch: 6 [38656/48750]	Loss: 0.1538	LR: 0.100000
Training Epoch: 6 [38912/48750]	Loss: 0.2066	LR: 0.100000
Training Epoch: 6 [39168/48750]	Loss: 0.2277	LR: 0.100000
Training Epoch: 6 [39424/48750]	Loss: 0.1750	LR: 0.100000
Training Epoch: 6 [39680/48750]	Loss: 0.1872	LR: 0.100000
Training Epoch: 6 [39936/48750]	Loss: 0.2616	LR: 0.100000
Training Epoch: 6 [40192/48750]	Loss: 0.1341	LR: 0.100000
Training Epoch: 6 [40448/48750]	Loss: 0.1549	LR: 0.100000
Training Epoch: 6 [40704/48750]	Loss: 0.2445	LR: 0.100000
Training Epoch: 6 [40960/48750]	Loss: 0.1636	LR: 0.100000
Training Epoch: 6 [41216/48750]	Loss: 0.1489	LR: 0.100000
Training Epoch: 6 [41472/48750]	Loss: 0.1911	LR: 0.100000
Training Epoch: 6 [41728/48750]	Loss: 0.2213	LR: 0.100000
Training Epoch: 6 [41984/48750]	Loss: 0.1935	LR: 0.100000
Training Epoch: 6 [42240/48750]	Loss: 0.2335	LR: 0.100000
Training Epoch: 6 [42496/48750]	Loss: 0.1283	LR: 0.100000
Training Epoch: 6 [42752/48750]	Loss: 0.1553	LR: 0.100000
Training Epoch: 6 [43008/48750]	Loss: 0.1146	LR: 0.100000
Training Epoch: 6 [43264/48750]	Loss: 0.3576	LR: 0.100000
Training Epoch: 6 [43520/48750]	Loss: 0.2151	LR: 0.100000
Training Epoch: 6 [43776/48750]	Loss: 0.3427	LR: 0.100000
Training Epoch: 6 [44032/48750]	Loss: 0.2321	LR: 0.100000
Training Epoch: 6 [44288/48750]	Loss: 0.2362	LR: 0.100000
Training Epoch: 6 [44544/48750]	Loss: 0.2453	LR: 0.100000
Training Epoch: 6 [44800/48750]	Loss: 0.1595	LR: 0.100000
Training Epoch: 6 [45056/48750]	Loss: 0.1841	LR: 0.100000
Training Epoch: 6 [45312/48750]	Loss: 0.2331	LR: 0.100000
Training Epoch: 6 [45568/48750]	Loss: 0.2265	LR: 0.100000
Training Epoch: 6 [45824/48750]	Loss: 0.2044	LR: 0.100000
Training Epoch: 6 [46080/48750]	Loss: 0.1266	LR: 0.100000
Training Epoch: 6 [46336/48750]	Loss: 0.0935	LR: 0.100000
Training Epoch: 6 [46592/48750]	Loss: 0.2226	LR: 0.100000
Training Epoch: 6 [46848/48750]	Loss: 0.2068	LR: 0.100000
Training Epoch: 6 [47104/48750]	Loss: 0.1794	LR: 0.100000
Training Epoch: 6 [47360/48750]	Loss: 0.1541	LR: 0.100000
Training Epoch: 6 [47616/48750]	Loss: 0.1537	LR: 0.100000
Training Epoch: 6 [47872/48750]	Loss: 0.2363	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.1610	LR: 0.100000
Training Epoch: 6 [48384/48750]	Loss: 0.1810	LR: 0.100000
Training Epoch: 6 [48640/48750]	Loss: 0.1726	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.0804	LR: 0.100000
Epoch 6 - Average Train Loss: 0.1973, Train Accuracy: 0.9332
Epoch 6 training time consumed: 351.71s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0009, Accuracy: 0.9261, Time consumed:23.43s
Training Epoch: 7 [256/48750]	Loss: 0.2375	LR: 0.020000
Training Epoch: 7 [512/48750]	Loss: 0.2070	LR: 0.020000
Training Epoch: 7 [768/48750]	Loss: 0.2029	LR: 0.020000
Training Epoch: 7 [1024/48750]	Loss: 0.1279	LR: 0.020000
Training Epoch: 7 [1280/48750]	Loss: 0.1178	LR: 0.020000
Training Epoch: 7 [1536/48750]	Loss: 0.0922	LR: 0.020000
Training Epoch: 7 [1792/48750]	Loss: 0.1128	LR: 0.020000
Training Epoch: 7 [2048/48750]	Loss: 0.1190	LR: 0.020000
Training Epoch: 7 [2304/48750]	Loss: 0.1520	LR: 0.020000
Training Epoch: 7 [2560/48750]	Loss: 0.1161	LR: 0.020000
Training Epoch: 7 [2816/48750]	Loss: 0.1258	LR: 0.020000
Training Epoch: 7 [3072/48750]	Loss: 0.0785	LR: 0.020000
Training Epoch: 7 [3328/48750]	Loss: 0.0634	LR: 0.020000
Training Epoch: 7 [3584/48750]	Loss: 0.0924	LR: 0.020000
Training Epoch: 7 [3840/48750]	Loss: 0.1070	LR: 0.020000
Training Epoch: 7 [4096/48750]	Loss: 0.0570	LR: 0.020000
Training Epoch: 7 [4352/48750]	Loss: 0.0900	LR: 0.020000
Training Epoch: 7 [4608/48750]	Loss: 0.1387	LR: 0.020000
Training Epoch: 7 [4864/48750]	Loss: 0.0571	LR: 0.020000
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Training Epoch: 7 [16896/48750]	Loss: 0.0569	LR: 0.020000
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Training Epoch: 7 [42240/48750]	Loss: 0.0380	LR: 0.020000
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Training Epoch: 7 [43008/48750]	Loss: 0.0524	LR: 0.020000
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Training Epoch: 7 [44288/48750]	Loss: 0.0371	LR: 0.020000
Training Epoch: 7 [44544/48750]	Loss: 0.0384	LR: 0.020000
Training Epoch: 7 [44800/48750]	Loss: 0.0237	LR: 0.020000
Training Epoch: 7 [45056/48750]	Loss: 0.0873	LR: 0.020000
Training Epoch: 7 [45312/48750]	Loss: 0.0690	LR: 0.020000
Training Epoch: 7 [45568/48750]	Loss: 0.0425	LR: 0.020000
Training Epoch: 7 [45824/48750]	Loss: 0.0573	LR: 0.020000
Training Epoch: 7 [46080/48750]	Loss: 0.0547	LR: 0.020000
Training Epoch: 7 [46336/48750]	Loss: 0.0474	LR: 0.020000
Training Epoch: 7 [46592/48750]	Loss: 0.0742	LR: 0.020000
Training Epoch: 7 [46848/48750]	Loss: 0.0566	LR: 0.020000
Training Epoch: 7 [47104/48750]	Loss: 0.0496	LR: 0.020000
Training Epoch: 7 [47360/48750]	Loss: 0.0455	LR: 0.020000
Training Epoch: 7 [47616/48750]	Loss: 0.0159	LR: 0.020000
Training Epoch: 7 [47872/48750]	Loss: 0.0687	LR: 0.020000
Training Epoch: 7 [48128/48750]	Loss: 0.0614	LR: 0.020000
Training Epoch: 7 [48384/48750]	Loss: 0.0482	LR: 0.020000
Training Epoch: 7 [48640/48750]	Loss: 0.0383	LR: 0.020000
Training Epoch: 7 [48750/48750]	Loss: 0.0361	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0620, Train Accuracy: 0.9785
Epoch 7 training time consumed: 351.60s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0003, Accuracy: 0.9714, Time consumed:23.43s
Saving weights file to checkpoint/retrain/ViT/Sunday_20_July_2025_12h_01m_46s/ViT-Cifar10-seed9-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0597	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.0223	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.0275	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.0589	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.0440	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.0391	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.0348	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.0593	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.0217	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.0293	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.0716	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.0915	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.0312	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.0206	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.0439	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.0413	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.0631	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.0319	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.0144	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.0417	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.0537	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.0685	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.0310	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.0464	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.0572	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.0227	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.0377	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.0365	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.0128	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.0337	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.0579	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.0542	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.0260	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.0677	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.0271	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.0353	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.0320	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.0232	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.0598	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.0500	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.0445	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.0079	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.0234	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.0362	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.0231	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.0373	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.0455	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.0193	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.0397	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.0514	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.0762	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.0921	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.0220	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.0149	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.0441	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.0602	LR: 0.020000
Training Epoch: 8 [14592/48750]	Loss: 0.0197	LR: 0.020000
Training Epoch: 8 [14848/48750]	Loss: 0.0325	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.0201	LR: 0.020000
Training Epoch: 8 [15360/48750]	Loss: 0.0321	LR: 0.020000
Training Epoch: 8 [15616/48750]	Loss: 0.0501	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.0292	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.0672	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.0369	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.0621	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.0197	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.0322	LR: 0.020000
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Training Epoch: 8 [19200/48750]	Loss: 0.0109	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.0837	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.0577	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.0390	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.0315	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.0205	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.0342	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.0208	LR: 0.020000
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Training Epoch: 8 [22016/48750]	Loss: 0.0225	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.0405	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.0257	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.0550	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.0649	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.0227	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.0791	LR: 0.020000
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Training Epoch: 8 [24064/48750]	Loss: 0.0419	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.0257	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.0130	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.0170	LR: 0.020000
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Training Epoch: 8 [25600/48750]	Loss: 0.0124	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.0689	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.0310	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.0168	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.0136	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.0455	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.0320	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.0413	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.0771	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.0264	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.0387	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.0474	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.0252	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.0515	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.0425	LR: 0.020000
Training Epoch: 8 [29440/48750]	Loss: 0.0508	LR: 0.020000
Training Epoch: 8 [29696/48750]	Loss: 0.0462	LR: 0.020000
Training Epoch: 8 [29952/48750]	Loss: 0.0363	LR: 0.020000
Training Epoch: 8 [30208/48750]	Loss: 0.0524	LR: 0.020000
Training Epoch: 8 [30464/48750]	Loss: 0.0477	LR: 0.020000
Training Epoch: 8 [30720/48750]	Loss: 0.0143	LR: 0.020000
Training Epoch: 8 [30976/48750]	Loss: 0.0673	LR: 0.020000
Training Epoch: 8 [31232/48750]	Loss: 0.0414	LR: 0.020000
Training Epoch: 8 [31488/48750]	Loss: 0.0422	LR: 0.020000
Training Epoch: 8 [31744/48750]	Loss: 0.0252	LR: 0.020000
Training Epoch: 8 [32000/48750]	Loss: 0.0653	LR: 0.020000
Training Epoch: 8 [32256/48750]	Loss: 0.0187	LR: 0.020000
Training Epoch: 8 [32512/48750]	Loss: 0.0738	LR: 0.020000
Training Epoch: 8 [32768/48750]	Loss: 0.0413	LR: 0.020000
Training Epoch: 8 [33024/48750]	Loss: 0.0502	LR: 0.020000
Training Epoch: 8 [33280/48750]	Loss: 0.0348	LR: 0.020000
Training Epoch: 8 [33536/48750]	Loss: 0.0203	LR: 0.020000
Training Epoch: 8 [33792/48750]	Loss: 0.0200	LR: 0.020000
Training Epoch: 8 [34048/48750]	Loss: 0.0329	LR: 0.020000
Training Epoch: 8 [34304/48750]	Loss: 0.0261	LR: 0.020000
Training Epoch: 8 [34560/48750]	Loss: 0.0341	LR: 0.020000
Training Epoch: 8 [34816/48750]	Loss: 0.0563	LR: 0.020000
Training Epoch: 8 [35072/48750]	Loss: 0.0363	LR: 0.020000
Training Epoch: 8 [35328/48750]	Loss: 0.0282	LR: 0.020000
Training Epoch: 8 [35584/48750]	Loss: 0.0341	LR: 0.020000
Training Epoch: 8 [35840/48750]	Loss: 0.0434	LR: 0.020000
Training Epoch: 8 [36096/48750]	Loss: 0.0575	LR: 0.020000
Training Epoch: 8 [36352/48750]	Loss: 0.0317	LR: 0.020000
Training Epoch: 8 [36608/48750]	Loss: 0.0418	LR: 0.020000
Training Epoch: 8 [36864/48750]	Loss: 0.0512	LR: 0.020000
Training Epoch: 8 [37120/48750]	Loss: 0.0129	LR: 0.020000
Training Epoch: 8 [37376/48750]	Loss: 0.0298	LR: 0.020000
Training Epoch: 8 [37632/48750]	Loss: 0.0435	LR: 0.020000
Training Epoch: 8 [37888/48750]	Loss: 0.0268	LR: 0.020000
Training Epoch: 8 [38144/48750]	Loss: 0.0528	LR: 0.020000
Training Epoch: 8 [38400/48750]	Loss: 0.0363	LR: 0.020000
Training Epoch: 8 [38656/48750]	Loss: 0.0435	LR: 0.020000
Training Epoch: 8 [38912/48750]	Loss: 0.0798	LR: 0.020000
Training Epoch: 8 [39168/48750]	Loss: 0.0334	LR: 0.020000
Training Epoch: 8 [39424/48750]	Loss: 0.0300	LR: 0.020000
Training Epoch: 8 [39680/48750]	Loss: 0.0540	LR: 0.020000
Training Epoch: 8 [39936/48750]	Loss: 0.1010	LR: 0.020000
Training Epoch: 8 [40192/48750]	Loss: 0.0437	LR: 0.020000
Training Epoch: 8 [40448/48750]	Loss: 0.0320	LR: 0.020000
Training Epoch: 8 [40704/48750]	Loss: 0.0438	LR: 0.020000
Training Epoch: 8 [40960/48750]	Loss: 0.0318	LR: 0.020000
Training Epoch: 8 [41216/48750]	Loss: 0.0508	LR: 0.020000
Training Epoch: 8 [41472/48750]	Loss: 0.0149	LR: 0.020000
Training Epoch: 8 [41728/48750]	Loss: 0.0472	LR: 0.020000
Training Epoch: 8 [41984/48750]	Loss: 0.0214	LR: 0.020000
Training Epoch: 8 [42240/48750]	Loss: 0.0420	LR: 0.020000
Training Epoch: 8 [42496/48750]	Loss: 0.0441	LR: 0.020000
Training Epoch: 8 [42752/48750]	Loss: 0.0430	LR: 0.020000
Training Epoch: 8 [43008/48750]	Loss: 0.0786	LR: 0.020000
Training Epoch: 8 [43264/48750]	Loss: 0.0336	LR: 0.020000
Training Epoch: 8 [43520/48750]	Loss: 0.0550	LR: 0.020000
Training Epoch: 8 [43776/48750]	Loss: 0.0690	LR: 0.020000
Training Epoch: 8 [44032/48750]	Loss: 0.0153	LR: 0.020000
Training Epoch: 8 [44288/48750]	Loss: 0.0399	LR: 0.020000
Training Epoch: 8 [44544/48750]	Loss: 0.0285	LR: 0.020000
Training Epoch: 8 [44800/48750]	Loss: 0.0436	LR: 0.020000
Training Epoch: 8 [45056/48750]	Loss: 0.0191	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.0292	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.0659	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.0479	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.0291	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.0185	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.0551	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.0442	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.0346	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.0717	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.0188	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.0246	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.0640	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.0985	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.0408	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.0298	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0397, Train Accuracy: 0.9865
Epoch 8 training time consumed: 351.73s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0004, Accuracy: 0.9702, Time consumed:23.44s
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: 97.08984375
Retain Accuracy: 98.82199096679688
Zero-Retain Forget (ZRF): 0.764398455619812
Membership Inference Attack (MIA): 0.8432
Forget vs Retain Membership Inference Attack (MIA): 0.468
Forget vs Test Membership Inference Attack (MIA): 0.518
Test vs Retain Membership Inference Attack (MIA): 0.508
Train vs Test Membership Inference Attack (MIA): 0.51025
Forget Set Accuracy (Df): 95.8178939819336
Method Execution Time: 5408.11 seconds
