hello
hello

📌S Retain class distribution for seed 4:
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 4:
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: 2.4888	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.4584	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.4426	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.4371	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3072	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2151	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.1285	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 1.9075	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 1.8208	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 1.5800	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 1.3211	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 1.0617	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 0.8707	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 0.6799	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 0.5579	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 0.3770	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 0.4293	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 0.3412	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 0.2792	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 0.2961	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 0.2208	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 0.2820	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 0.2140	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 0.2110	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 0.1474	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 0.0995	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 0.2142	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 0.2536	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 0.2441	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 0.1481	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 0.2330	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 0.2479	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 0.1105	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 0.2338	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 0.2823	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 0.1349	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 0.2526	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 0.1756	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 0.1596	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 0.2039	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 0.2344	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 0.1866	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 0.2780	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 0.1672	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 0.2169	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 0.2401	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 0.1828	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 0.3156	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 0.2361	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 0.2625	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 0.2355	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 0.3544	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 0.2217	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 0.2625	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 0.1817	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 0.3669	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 0.3000	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 0.1552	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 0.2925	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 0.1612	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 0.1744	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 0.1472	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 0.1684	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 0.1718	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 0.1602	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 0.3180	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 0.1797	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 0.1478	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 0.2498	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 0.3299	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 0.3080	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 0.2905	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 0.2502	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 0.2473	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 0.4098	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 0.3014	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 0.3166	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 0.2671	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 0.2653	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 0.2431	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 0.2991	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 0.1830	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 0.3516	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 0.2480	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 0.7668	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 0.3935	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 0.3045	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 0.5841	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 0.3914	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 0.6263	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 0.4041	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 0.4753	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 0.4985	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 0.5471	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 0.3823	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 0.3684	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 0.4018	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 0.3099	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 0.2495	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 0.2808	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 0.3074	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 0.2655	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 0.2237	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 0.2052	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 0.1932	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 0.3040	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 0.1697	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 0.2971	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 0.1374	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 0.1827	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 0.2873	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 0.2261	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 0.1709	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 0.1666	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 0.2247	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 0.1681	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 0.2430	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 0.1750	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 0.2580	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 0.1791	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 0.1975	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 0.1086	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 0.2836	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 0.3220	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 0.2343	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 0.2000	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 0.3489	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 0.1743	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 0.2716	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 0.2746	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 0.1333	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 0.2176	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 0.2977	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 0.1591	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 0.2229	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 0.1914	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 0.2196	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 0.2197	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 0.2122	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 0.2422	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 0.2426	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 0.2587	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 0.2484	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 0.1979	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 0.2622	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 0.3058	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 0.2467	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 0.2176	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 0.2802	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 0.2426	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 0.2175	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 0.2194	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 0.3358	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 0.2592	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 0.2182	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 0.2061	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 0.2495	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 0.2632	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 0.2882	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 0.2405	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 0.2771	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 0.3643	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 0.2904	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 0.2716	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 0.2980	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 0.3159	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 0.3535	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 0.2084	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 0.3177	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 0.2933	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 0.3170	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 0.2581	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 0.2704	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 0.2794	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 0.3086	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 0.2970	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 0.2373	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 0.3527	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 0.3675	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 0.2157	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 0.3479	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 0.4038	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 0.2862	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 0.4215	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 0.3271	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 0.5148	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 0.3747	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 0.7670	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 0.7449	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 1.0056	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 0.9436	LR: 0.099476
Epoch 1 - Average Train Loss: 0.3956, Train Accuracy: 0.8740
Epoch 1 training time consumed: 352.60s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0031, Accuracy: 0.7409, Time consumed:23.50s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_18h_24m_49s/ViT-Cifar10-seed4-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 0.9191	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 0.9157	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 0.8131	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 0.8275	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 0.6718	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 0.7497	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 0.6560	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 0.9800	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 1.1627	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 0.6145	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 0.7914	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 0.6132	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 0.5582	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 0.4867	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 0.5327	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 0.5735	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 0.3600	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 0.4350	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 0.4181	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 0.3544	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 0.3767	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 0.5996	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 0.3344	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 0.5877	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 0.4641	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 0.6304	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 0.3712	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 0.3723	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 0.4432	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 0.4019	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 0.3018	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 0.3667	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 0.3369	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 0.3175	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 0.3968	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 0.3601	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 0.3456	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 0.3728	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 0.2391	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 0.3425	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 0.2446	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 0.2464	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 0.2567	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 0.2880	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 0.2140	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 0.2340	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 0.3026	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 0.2395	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 0.1824	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 0.2140	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 0.1690	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 0.2349	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 0.3109	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 0.1877	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 0.2355	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 0.2529	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 0.2537	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 0.2955	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 0.2807	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 0.2462	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 0.2406	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 0.2400	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 0.2263	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 0.2692	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 0.2495	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 0.2437	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 0.1612	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 0.1963	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 0.2806	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 0.2415	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 0.2986	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 0.2202	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 0.1817	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 0.2059	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 0.2262	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 0.1610	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 0.1611	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 0.1974	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 0.1709	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 0.2355	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 0.2453	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 0.3050	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 0.2799	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.1740	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 0.1113	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2745, Train Accuracy: 0.9071
Epoch 2 training time consumed: 351.35s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0005, Accuracy: 0.9604, Time consumed:23.49s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_18h_24m_49s/ViT-Cifar10-seed4-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.1051	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.1492	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.1487	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.1169	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1497, Train Accuracy: 0.9493
Epoch 3 training time consumed: 351.36s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0006, Accuracy: 0.9518, Time consumed:23.50s
Training Epoch: 4 [256/48750]	Loss: 0.1056	LR: 0.100000
Training Epoch: 4 [512/48750]	Loss: 0.1491	LR: 0.100000
Training Epoch: 4 [768/48750]	Loss: 0.0960	LR: 0.100000
Training Epoch: 4 [1024/48750]	Loss: 0.1124	LR: 0.100000
Training Epoch: 4 [1280/48750]	Loss: 0.1189	LR: 0.100000
Training Epoch: 4 [1536/48750]	Loss: 0.0839	LR: 0.100000
Training Epoch: 4 [1792/48750]	Loss: 0.1133	LR: 0.100000
Training Epoch: 4 [2048/48750]	Loss: 0.0952	LR: 0.100000
Training Epoch: 4 [2304/48750]	Loss: 0.1289	LR: 0.100000
Training Epoch: 4 [2560/48750]	Loss: 0.1218	LR: 0.100000
Training Epoch: 4 [2816/48750]	Loss: 0.2146	LR: 0.100000
Training Epoch: 4 [3072/48750]	Loss: 0.1450	LR: 0.100000
Training Epoch: 4 [3328/48750]	Loss: 0.1208	LR: 0.100000
Training Epoch: 4 [3584/48750]	Loss: 0.1609	LR: 0.100000
Training Epoch: 4 [3840/48750]	Loss: 0.1907	LR: 0.100000
Training Epoch: 4 [4096/48750]	Loss: 0.2054	LR: 0.100000
Training Epoch: 4 [4352/48750]	Loss: 0.1400	LR: 0.100000
Training Epoch: 4 [4608/48750]	Loss: 0.1331	LR: 0.100000
Training Epoch: 4 [4864/48750]	Loss: 0.1271	LR: 0.100000
Training Epoch: 4 [5120/48750]	Loss: 0.1317	LR: 0.100000
Training Epoch: 4 [5376/48750]	Loss: 0.0892	LR: 0.100000
Training Epoch: 4 [5632/48750]	Loss: 0.1189	LR: 0.100000
Training Epoch: 4 [5888/48750]	Loss: 0.1175	LR: 0.100000
Training Epoch: 4 [6144/48750]	Loss: 0.0940	LR: 0.100000
Training Epoch: 4 [6400/48750]	Loss: 0.1788	LR: 0.100000
Training Epoch: 4 [6656/48750]	Loss: 0.1518	LR: 0.100000
Training Epoch: 4 [6912/48750]	Loss: 0.1468	LR: 0.100000
Training Epoch: 4 [7168/48750]	Loss: 0.1661	LR: 0.100000
Training Epoch: 4 [7424/48750]	Loss: 0.1935	LR: 0.100000
Training Epoch: 4 [7680/48750]	Loss: 0.0973	LR: 0.100000
Training Epoch: 4 [7936/48750]	Loss: 0.1062	LR: 0.100000
Training Epoch: 4 [8192/48750]	Loss: 0.0979	LR: 0.100000
Training Epoch: 4 [8448/48750]	Loss: 0.1818	LR: 0.100000
Training Epoch: 4 [8704/48750]	Loss: 0.1243	LR: 0.100000
Training Epoch: 4 [8960/48750]	Loss: 0.1519	LR: 0.100000
Training Epoch: 4 [9216/48750]	Loss: 0.1182	LR: 0.100000
Training Epoch: 4 [9472/48750]	Loss: 0.1501	LR: 0.100000
Training Epoch: 4 [9728/48750]	Loss: 0.1883	LR: 0.100000
Training Epoch: 4 [9984/48750]	Loss: 0.1510	LR: 0.100000
Training Epoch: 4 [10240/48750]	Loss: 0.1699	LR: 0.100000
Training Epoch: 4 [10496/48750]	Loss: 0.1109	LR: 0.100000
Training Epoch: 4 [10752/48750]	Loss: 0.2082	LR: 0.100000
Training Epoch: 4 [11008/48750]	Loss: 0.2270	LR: 0.100000
Training Epoch: 4 [11264/48750]	Loss: 0.1547	LR: 0.100000
Training Epoch: 4 [11520/48750]	Loss: 0.1568	LR: 0.100000
Training Epoch: 4 [11776/48750]	Loss: 0.1661	LR: 0.100000
Training Epoch: 4 [12032/48750]	Loss: 0.1417	LR: 0.100000
Training Epoch: 4 [12288/48750]	Loss: 0.1813	LR: 0.100000
Training Epoch: 4 [12544/48750]	Loss: 0.1123	LR: 0.100000
Training Epoch: 4 [12800/48750]	Loss: 0.1189	LR: 0.100000
Training Epoch: 4 [13056/48750]	Loss: 0.2054	LR: 0.100000
Training Epoch: 4 [13312/48750]	Loss: 0.0868	LR: 0.100000
Training Epoch: 4 [13568/48750]	Loss: 0.1213	LR: 0.100000
Training Epoch: 4 [13824/48750]	Loss: 0.1159	LR: 0.100000
Training Epoch: 4 [14080/48750]	Loss: 0.0804	LR: 0.100000
Training Epoch: 4 [14336/48750]	Loss: 0.1593	LR: 0.100000
Training Epoch: 4 [14592/48750]	Loss: 0.0955	LR: 0.100000
Training Epoch: 4 [14848/48750]	Loss: 0.1173	LR: 0.100000
Training Epoch: 4 [15104/48750]	Loss: 0.1474	LR: 0.100000
Training Epoch: 4 [15360/48750]	Loss: 0.1097	LR: 0.100000
Training Epoch: 4 [15616/48750]	Loss: 0.1633	LR: 0.100000
Training Epoch: 4 [15872/48750]	Loss: 0.1336	LR: 0.100000
Training Epoch: 4 [16128/48750]	Loss: 0.2510	LR: 0.100000
Training Epoch: 4 [16384/48750]	Loss: 0.1153	LR: 0.100000
Training Epoch: 4 [16640/48750]	Loss: 0.1605	LR: 0.100000
Training Epoch: 4 [16896/48750]	Loss: 0.2017	LR: 0.100000
Training Epoch: 4 [17152/48750]	Loss: 0.1244	LR: 0.100000
Training Epoch: 4 [17408/48750]	Loss: 0.1098	LR: 0.100000
Training Epoch: 4 [17664/48750]	Loss: 0.1553	LR: 0.100000
Training Epoch: 4 [17920/48750]	Loss: 0.0848	LR: 0.100000
Training Epoch: 4 [18176/48750]	Loss: 0.1107	LR: 0.100000
Training Epoch: 4 [18432/48750]	Loss: 0.1268	LR: 0.100000
Training Epoch: 4 [18688/48750]	Loss: 0.1613	LR: 0.100000
Training Epoch: 4 [18944/48750]	Loss: 0.1514	LR: 0.100000
Training Epoch: 4 [19200/48750]	Loss: 0.0882	LR: 0.100000
Training Epoch: 4 [19456/48750]	Loss: 0.2055	LR: 0.100000
Training Epoch: 4 [19712/48750]	Loss: 0.1220	LR: 0.100000
Training Epoch: 4 [19968/48750]	Loss: 0.1125	LR: 0.100000
Training Epoch: 4 [20224/48750]	Loss: 0.0911	LR: 0.100000
Training Epoch: 4 [20480/48750]	Loss: 0.1174	LR: 0.100000
Training Epoch: 4 [20736/48750]	Loss: 0.2654	LR: 0.100000
Training Epoch: 4 [20992/48750]	Loss: 0.0514	LR: 0.100000
Training Epoch: 4 [21248/48750]	Loss: 0.1077	LR: 0.100000
Training Epoch: 4 [21504/48750]	Loss: 0.1458	LR: 0.100000
Training Epoch: 4 [21760/48750]	Loss: 0.1886	LR: 0.100000
Training Epoch: 4 [22016/48750]	Loss: 0.1340	LR: 0.100000
Training Epoch: 4 [22272/48750]	Loss: 0.1568	LR: 0.100000
Training Epoch: 4 [22528/48750]	Loss: 0.1251	LR: 0.100000
Training Epoch: 4 [22784/48750]	Loss: 0.1753	LR: 0.100000
Training Epoch: 4 [23040/48750]	Loss: 0.1204	LR: 0.100000
Training Epoch: 4 [23296/48750]	Loss: 0.1205	LR: 0.100000
Training Epoch: 4 [23552/48750]	Loss: 0.1714	LR: 0.100000
Training Epoch: 4 [23808/48750]	Loss: 0.1527	LR: 0.100000
Training Epoch: 4 [24064/48750]	Loss: 0.2024	LR: 0.100000
Training Epoch: 4 [24320/48750]	Loss: 0.2129	LR: 0.100000
Training Epoch: 4 [24576/48750]	Loss: 0.1449	LR: 0.100000
Training Epoch: 4 [24832/48750]	Loss: 0.1899	LR: 0.100000
Training Epoch: 4 [25088/48750]	Loss: 0.1448	LR: 0.100000
Training Epoch: 4 [25344/48750]	Loss: 0.1487	LR: 0.100000
Training Epoch: 4 [25600/48750]	Loss: 0.1292	LR: 0.100000
Training Epoch: 4 [25856/48750]	Loss: 0.1647	LR: 0.100000
Training Epoch: 4 [26112/48750]	Loss: 0.1216	LR: 0.100000
Training Epoch: 4 [26368/48750]	Loss: 0.1395	LR: 0.100000
Training Epoch: 4 [26624/48750]	Loss: 0.1619	LR: 0.100000
Training Epoch: 4 [26880/48750]	Loss: 0.1845	LR: 0.100000
Training Epoch: 4 [27136/48750]	Loss: 0.1636	LR: 0.100000
Training Epoch: 4 [27392/48750]	Loss: 0.1245	LR: 0.100000
Training Epoch: 4 [27648/48750]	Loss: 0.1008	LR: 0.100000
Training Epoch: 4 [27904/48750]	Loss: 0.1877	LR: 0.100000
Training Epoch: 4 [28160/48750]	Loss: 0.2241	LR: 0.100000
Training Epoch: 4 [28416/48750]	Loss: 0.1306	LR: 0.100000
Training Epoch: 4 [28672/48750]	Loss: 0.1756	LR: 0.100000
Training Epoch: 4 [28928/48750]	Loss: 0.1636	LR: 0.100000
Training Epoch: 4 [29184/48750]	Loss: 0.1176	LR: 0.100000
Training Epoch: 4 [29440/48750]	Loss: 0.1462	LR: 0.100000
Training Epoch: 4 [29696/48750]	Loss: 0.2084	LR: 0.100000
Training Epoch: 4 [29952/48750]	Loss: 0.1432	LR: 0.100000
Training Epoch: 4 [30208/48750]	Loss: 0.1650	LR: 0.100000
Training Epoch: 4 [30464/48750]	Loss: 0.1778	LR: 0.100000
Training Epoch: 4 [30720/48750]	Loss: 0.2094	LR: 0.100000
Training Epoch: 4 [30976/48750]	Loss: 0.2407	LR: 0.100000
Training Epoch: 4 [31232/48750]	Loss: 0.1634	LR: 0.100000
Training Epoch: 4 [31488/48750]	Loss: 0.1923	LR: 0.100000
Training Epoch: 4 [31744/48750]	Loss: 0.2189	LR: 0.100000
Training Epoch: 4 [32000/48750]	Loss: 0.1750	LR: 0.100000
Training Epoch: 4 [32256/48750]	Loss: 0.1272	LR: 0.100000
Training Epoch: 4 [32512/48750]	Loss: 0.1348	LR: 0.100000
Training Epoch: 4 [32768/48750]	Loss: 0.1087	LR: 0.100000
Training Epoch: 4 [33024/48750]	Loss: 0.1949	LR: 0.100000
Training Epoch: 4 [33280/48750]	Loss: 0.1582	LR: 0.100000
Training Epoch: 4 [33536/48750]	Loss: 0.1911	LR: 0.100000
Training Epoch: 4 [33792/48750]	Loss: 0.1272	LR: 0.100000
Training Epoch: 4 [34048/48750]	Loss: 0.1826	LR: 0.100000
Training Epoch: 4 [34304/48750]	Loss: 0.1769	LR: 0.100000
Training Epoch: 4 [34560/48750]	Loss: 0.1956	LR: 0.100000
Training Epoch: 4 [34816/48750]	Loss: 0.0844	LR: 0.100000
Training Epoch: 4 [35072/48750]	Loss: 0.1947	LR: 0.100000
Training Epoch: 4 [35328/48750]	Loss: 0.1671	LR: 0.100000
Training Epoch: 4 [35584/48750]	Loss: 0.1310	LR: 0.100000
Training Epoch: 4 [35840/48750]	Loss: 0.1296	LR: 0.100000
Training Epoch: 4 [36096/48750]	Loss: 0.1778	LR: 0.100000
Training Epoch: 4 [36352/48750]	Loss: 0.1303	LR: 0.100000
Training Epoch: 4 [36608/48750]	Loss: 0.2211	LR: 0.100000
Training Epoch: 4 [36864/48750]	Loss: 0.1394	LR: 0.100000
Training Epoch: 4 [37120/48750]	Loss: 0.1696	LR: 0.100000
Training Epoch: 4 [37376/48750]	Loss: 0.2329	LR: 0.100000
Training Epoch: 4 [37632/48750]	Loss: 0.1276	LR: 0.100000
Training Epoch: 4 [37888/48750]	Loss: 0.1360	LR: 0.100000
Training Epoch: 4 [38144/48750]	Loss: 0.2177	LR: 0.100000
Training Epoch: 4 [38400/48750]	Loss: 0.1354	LR: 0.100000
Training Epoch: 4 [38656/48750]	Loss: 0.1513	LR: 0.100000
Training Epoch: 4 [38912/48750]	Loss: 0.1424	LR: 0.100000
Training Epoch: 4 [39168/48750]	Loss: 0.1016	LR: 0.100000
Training Epoch: 4 [39424/48750]	Loss: 0.1250	LR: 0.100000
Training Epoch: 4 [39680/48750]	Loss: 0.1529	LR: 0.100000
Training Epoch: 4 [39936/48750]	Loss: 0.2461	LR: 0.100000
Training Epoch: 4 [40192/48750]	Loss: 0.2018	LR: 0.100000
Training Epoch: 4 [40448/48750]	Loss: 0.1313	LR: 0.100000
Training Epoch: 4 [40704/48750]	Loss: 0.1007	LR: 0.100000
Training Epoch: 4 [40960/48750]	Loss: 0.1377	LR: 0.100000
Training Epoch: 4 [41216/48750]	Loss: 0.1303	LR: 0.100000
Training Epoch: 4 [41472/48750]	Loss: 0.1536	LR: 0.100000
Training Epoch: 4 [41728/48750]	Loss: 0.2296	LR: 0.100000
Training Epoch: 4 [41984/48750]	Loss: 0.1531	LR: 0.100000
Training Epoch: 4 [42240/48750]	Loss: 0.1839	LR: 0.100000
Training Epoch: 4 [42496/48750]	Loss: 0.2176	LR: 0.100000
Training Epoch: 4 [42752/48750]	Loss: 0.1155	LR: 0.100000
Training Epoch: 4 [43008/48750]	Loss: 0.1131	LR: 0.100000
Training Epoch: 4 [43264/48750]	Loss: 0.1678	LR: 0.100000
Training Epoch: 4 [43520/48750]	Loss: 0.1426	LR: 0.100000
Training Epoch: 4 [43776/48750]	Loss: 0.1767	LR: 0.100000
Training Epoch: 4 [44032/48750]	Loss: 0.2266	LR: 0.100000
Training Epoch: 4 [44288/48750]	Loss: 0.1164	LR: 0.100000
Training Epoch: 4 [44544/48750]	Loss: 0.0994	LR: 0.100000
Training Epoch: 4 [44800/48750]	Loss: 0.1804	LR: 0.100000
Training Epoch: 4 [45056/48750]	Loss: 0.1585	LR: 0.100000
Training Epoch: 4 [45312/48750]	Loss: 0.1673	LR: 0.100000
Training Epoch: 4 [45568/48750]	Loss: 0.1303	LR: 0.100000
Training Epoch: 4 [45824/48750]	Loss: 0.1159	LR: 0.100000
Training Epoch: 4 [46080/48750]	Loss: 0.1661	LR: 0.100000
Training Epoch: 4 [46336/48750]	Loss: 0.1169	LR: 0.100000
Training Epoch: 4 [46592/48750]	Loss: 0.1524	LR: 0.100000
Training Epoch: 4 [46848/48750]	Loss: 0.1113	LR: 0.100000
Training Epoch: 4 [47104/48750]	Loss: 0.1549	LR: 0.100000
Training Epoch: 4 [47360/48750]	Loss: 0.2265	LR: 0.100000
Training Epoch: 4 [47616/48750]	Loss: 0.1868	LR: 0.100000
Training Epoch: 4 [47872/48750]	Loss: 0.1820	LR: 0.100000
Training Epoch: 4 [48128/48750]	Loss: 0.1562	LR: 0.100000
Training Epoch: 4 [48384/48750]	Loss: 0.2328	LR: 0.100000
Training Epoch: 4 [48640/48750]	Loss: 0.1694	LR: 0.100000
Training Epoch: 4 [48750/48750]	Loss: 0.0806	LR: 0.100000
Epoch 4 - Average Train Loss: 0.1509, Train Accuracy: 0.9490
Epoch 4 training time consumed: 351.86s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0006, Accuracy: 0.9458, Time consumed:23.49s
Training Epoch: 5 [256/48750]	Loss: 0.1803	LR: 0.100000
Training Epoch: 5 [512/48750]	Loss: 0.1484	LR: 0.100000
Training Epoch: 5 [768/48750]	Loss: 0.1507	LR: 0.100000
Training Epoch: 5 [1024/48750]	Loss: 0.1932	LR: 0.100000
Training Epoch: 5 [1280/48750]	Loss: 0.1438	LR: 0.100000
Training Epoch: 5 [1536/48750]	Loss: 0.1296	LR: 0.100000
Training Epoch: 5 [1792/48750]	Loss: 0.0957	LR: 0.100000
Training Epoch: 5 [2048/48750]	Loss: 0.1831	LR: 0.100000
Training Epoch: 5 [2304/48750]	Loss: 0.1528	LR: 0.100000
Training Epoch: 5 [2560/48750]	Loss: 0.1421	LR: 0.100000
Training Epoch: 5 [2816/48750]	Loss: 0.1351	LR: 0.100000
Training Epoch: 5 [3072/48750]	Loss: 0.1798	LR: 0.100000
Training Epoch: 5 [3328/48750]	Loss: 0.1139	LR: 0.100000
Training Epoch: 5 [3584/48750]	Loss: 0.1593	LR: 0.100000
Training Epoch: 5 [3840/48750]	Loss: 0.1996	LR: 0.100000
Training Epoch: 5 [4096/48750]	Loss: 0.1550	LR: 0.100000
Training Epoch: 5 [4352/48750]	Loss: 0.1513	LR: 0.100000
Training Epoch: 5 [4608/48750]	Loss: 0.2133	LR: 0.100000
Training Epoch: 5 [4864/48750]	Loss: 0.2067	LR: 0.100000
Training Epoch: 5 [5120/48750]	Loss: 0.1426	LR: 0.100000
Training Epoch: 5 [5376/48750]	Loss: 0.2000	LR: 0.100000
Training Epoch: 5 [5632/48750]	Loss: 0.1348	LR: 0.100000
Training Epoch: 5 [5888/48750]	Loss: 0.1431	LR: 0.100000
Training Epoch: 5 [6144/48750]	Loss: 0.1317	LR: 0.100000
Training Epoch: 5 [6400/48750]	Loss: 0.1830	LR: 0.100000
Training Epoch: 5 [6656/48750]	Loss: 0.1873	LR: 0.100000
Training Epoch: 5 [6912/48750]	Loss: 0.1615	LR: 0.100000
Training Epoch: 5 [7168/48750]	Loss: 0.1814	LR: 0.100000
Training Epoch: 5 [7424/48750]	Loss: 0.1372	LR: 0.100000
Training Epoch: 5 [7680/48750]	Loss: 0.1192	LR: 0.100000
Training Epoch: 5 [7936/48750]	Loss: 0.1670	LR: 0.100000
Training Epoch: 5 [8192/48750]	Loss: 0.2020	LR: 0.100000
Training Epoch: 5 [8448/48750]	Loss: 0.1544	LR: 0.100000
Training Epoch: 5 [8704/48750]	Loss: 0.1477	LR: 0.100000
Training Epoch: 5 [8960/48750]	Loss: 0.1617	LR: 0.100000
Training Epoch: 5 [9216/48750]	Loss: 0.2168	LR: 0.100000
Training Epoch: 5 [9472/48750]	Loss: 0.1886	LR: 0.100000
Training Epoch: 5 [9728/48750]	Loss: 0.2174	LR: 0.100000
Training Epoch: 5 [9984/48750]	Loss: 0.1868	LR: 0.100000
Training Epoch: 5 [10240/48750]	Loss: 0.2312	LR: 0.100000
Training Epoch: 5 [10496/48750]	Loss: 0.2340	LR: 0.100000
Training Epoch: 5 [10752/48750]	Loss: 0.1538	LR: 0.100000
Training Epoch: 5 [11008/48750]	Loss: 0.1367	LR: 0.100000
Training Epoch: 5 [11264/48750]	Loss: 0.1288	LR: 0.100000
Training Epoch: 5 [11520/48750]	Loss: 0.1767	LR: 0.100000
Training Epoch: 5 [11776/48750]	Loss: 0.1771	LR: 0.100000
Training Epoch: 5 [12032/48750]	Loss: 0.3658	LR: 0.100000
Training Epoch: 5 [12288/48750]	Loss: 0.1492	LR: 0.100000
Training Epoch: 5 [12544/48750]	Loss: 0.1905	LR: 0.100000
Training Epoch: 5 [12800/48750]	Loss: 0.2149	LR: 0.100000
Training Epoch: 5 [13056/48750]	Loss: 0.2734	LR: 0.100000
Training Epoch: 5 [13312/48750]	Loss: 0.2753	LR: 0.100000
Training Epoch: 5 [13568/48750]	Loss: 0.1401	LR: 0.100000
Training Epoch: 5 [13824/48750]	Loss: 0.2065	LR: 0.100000
Training Epoch: 5 [14080/48750]	Loss: 0.2118	LR: 0.100000
Training Epoch: 5 [14336/48750]	Loss: 0.1372	LR: 0.100000
Training Epoch: 5 [14592/48750]	Loss: 0.1901	LR: 0.100000
Training Epoch: 5 [14848/48750]	Loss: 0.1826	LR: 0.100000
Training Epoch: 5 [15104/48750]	Loss: 0.1617	LR: 0.100000
Training Epoch: 5 [15360/48750]	Loss: 0.1269	LR: 0.100000
Training Epoch: 5 [15616/48750]	Loss: 0.1219	LR: 0.100000
Training Epoch: 5 [15872/48750]	Loss: 0.3380	LR: 0.100000
Training Epoch: 5 [16128/48750]	Loss: 0.1775	LR: 0.100000
Training Epoch: 5 [16384/48750]	Loss: 0.2246	LR: 0.100000
Training Epoch: 5 [16640/48750]	Loss: 0.2408	LR: 0.100000
Training Epoch: 5 [16896/48750]	Loss: 0.1341	LR: 0.100000
Training Epoch: 5 [17152/48750]	Loss: 0.2769	LR: 0.100000
Training Epoch: 5 [17408/48750]	Loss: 0.1816	LR: 0.100000
Training Epoch: 5 [17664/48750]	Loss: 0.1857	LR: 0.100000
Training Epoch: 5 [17920/48750]	Loss: 0.1963	LR: 0.100000
Training Epoch: 5 [18176/48750]	Loss: 0.1730	LR: 0.100000
Training Epoch: 5 [18432/48750]	Loss: 0.1659	LR: 0.100000
Training Epoch: 5 [18688/48750]	Loss: 0.1728	LR: 0.100000
Training Epoch: 5 [18944/48750]	Loss: 0.1264	LR: 0.100000
Training Epoch: 5 [19200/48750]	Loss: 0.1846	LR: 0.100000
Training Epoch: 5 [19456/48750]	Loss: 0.1070	LR: 0.100000
Training Epoch: 5 [19712/48750]	Loss: 0.1229	LR: 0.100000
Training Epoch: 5 [19968/48750]	Loss: 0.1566	LR: 0.100000
Training Epoch: 5 [20224/48750]	Loss: 0.1635	LR: 0.100000
Training Epoch: 5 [20480/48750]	Loss: 0.1025	LR: 0.100000
Training Epoch: 5 [20736/48750]	Loss: 0.1504	LR: 0.100000
Training Epoch: 5 [20992/48750]	Loss: 0.1514	LR: 0.100000
Training Epoch: 5 [21248/48750]	Loss: 0.2593	LR: 0.100000
Training Epoch: 5 [21504/48750]	Loss: 0.2374	LR: 0.100000
Training Epoch: 5 [21760/48750]	Loss: 0.2070	LR: 0.100000
Training Epoch: 5 [22016/48750]	Loss: 0.1798	LR: 0.100000
Training Epoch: 5 [22272/48750]	Loss: 0.2077	LR: 0.100000
Training Epoch: 5 [22528/48750]	Loss: 0.1971	LR: 0.100000
Training Epoch: 5 [22784/48750]	Loss: 0.1912	LR: 0.100000
Training Epoch: 5 [23040/48750]	Loss: 0.2324	LR: 0.100000
Training Epoch: 5 [23296/48750]	Loss: 0.1978	LR: 0.100000
Training Epoch: 5 [23552/48750]	Loss: 0.2937	LR: 0.100000
Training Epoch: 5 [23808/48750]	Loss: 0.1743	LR: 0.100000
Training Epoch: 5 [24064/48750]	Loss: 0.2022	LR: 0.100000
Training Epoch: 5 [24320/48750]	Loss: 0.2637	LR: 0.100000
Training Epoch: 5 [24576/48750]	Loss: 0.1886	LR: 0.100000
Training Epoch: 5 [24832/48750]	Loss: 0.2535	LR: 0.100000
Training Epoch: 5 [25088/48750]	Loss: 0.2875	LR: 0.100000
Training Epoch: 5 [25344/48750]	Loss: 0.1730	LR: 0.100000
Training Epoch: 5 [25600/48750]	Loss: 0.1560	LR: 0.100000
Training Epoch: 5 [25856/48750]	Loss: 0.2194	LR: 0.100000
Training Epoch: 5 [26112/48750]	Loss: 0.2102	LR: 0.100000
Training Epoch: 5 [26368/48750]	Loss: 0.1549	LR: 0.100000
Training Epoch: 5 [26624/48750]	Loss: 0.1598	LR: 0.100000
Training Epoch: 5 [26880/48750]	Loss: 0.2269	LR: 0.100000
Training Epoch: 5 [27136/48750]	Loss: 0.2168	LR: 0.100000
Training Epoch: 5 [27392/48750]	Loss: 0.1438	LR: 0.100000
Training Epoch: 5 [27648/48750]	Loss: 0.2199	LR: 0.100000
Training Epoch: 5 [27904/48750]	Loss: 0.2063	LR: 0.100000
Training Epoch: 5 [28160/48750]	Loss: 0.1934	LR: 0.100000
Training Epoch: 5 [28416/48750]	Loss: 0.1236	LR: 0.100000
Training Epoch: 5 [28672/48750]	Loss: 0.1724	LR: 0.100000
Training Epoch: 5 [28928/48750]	Loss: 0.1911	LR: 0.100000
Training Epoch: 5 [29184/48750]	Loss: 0.0981	LR: 0.100000
Training Epoch: 5 [29440/48750]	Loss: 0.1846	LR: 0.100000
Training Epoch: 5 [29696/48750]	Loss: 0.1342	LR: 0.100000
Training Epoch: 5 [29952/48750]	Loss: 0.1856	LR: 0.100000
Training Epoch: 5 [30208/48750]	Loss: 0.1358	LR: 0.100000
Training Epoch: 5 [30464/48750]	Loss: 0.1756	LR: 0.100000
Training Epoch: 5 [30720/48750]	Loss: 0.2643	LR: 0.100000
Training Epoch: 5 [30976/48750]	Loss: 0.1885	LR: 0.100000
Training Epoch: 5 [31232/48750]	Loss: 0.2029	LR: 0.100000
Training Epoch: 5 [31488/48750]	Loss: 0.1639	LR: 0.100000
Training Epoch: 5 [31744/48750]	Loss: 0.1682	LR: 0.100000
Training Epoch: 5 [32000/48750]	Loss: 0.3239	LR: 0.100000
Training Epoch: 5 [32256/48750]	Loss: 0.1486	LR: 0.100000
Training Epoch: 5 [32512/48750]	Loss: 0.3067	LR: 0.100000
Training Epoch: 5 [32768/48750]	Loss: 0.2339	LR: 0.100000
Training Epoch: 5 [33024/48750]	Loss: 0.1425	LR: 0.100000
Training Epoch: 5 [33280/48750]	Loss: 0.1737	LR: 0.100000
Training Epoch: 5 [33536/48750]	Loss: 0.1693	LR: 0.100000
Training Epoch: 5 [33792/48750]	Loss: 0.1249	LR: 0.100000
Training Epoch: 5 [34048/48750]	Loss: 0.2066	LR: 0.100000
Training Epoch: 5 [34304/48750]	Loss: 0.1783	LR: 0.100000
Training Epoch: 5 [34560/48750]	Loss: 0.1712	LR: 0.100000
Training Epoch: 5 [34816/48750]	Loss: 0.1333	LR: 0.100000
Training Epoch: 5 [35072/48750]	Loss: 0.1473	LR: 0.100000
Training Epoch: 5 [35328/48750]	Loss: 0.1132	LR: 0.100000
Training Epoch: 5 [35584/48750]	Loss: 0.2169	LR: 0.100000
Training Epoch: 5 [35840/48750]	Loss: 0.1652	LR: 0.100000
Training Epoch: 5 [36096/48750]	Loss: 0.2305	LR: 0.100000
Training Epoch: 5 [36352/48750]	Loss: 0.0869	LR: 0.100000
Training Epoch: 5 [36608/48750]	Loss: 0.1520	LR: 0.100000
Training Epoch: 5 [36864/48750]	Loss: 0.2265	LR: 0.100000
Training Epoch: 5 [37120/48750]	Loss: 0.1627	LR: 0.100000
Training Epoch: 5 [37376/48750]	Loss: 0.2261	LR: 0.100000
Training Epoch: 5 [37632/48750]	Loss: 0.1471	LR: 0.100000
Training Epoch: 5 [37888/48750]	Loss: 0.2050	LR: 0.100000
Training Epoch: 5 [38144/48750]	Loss: 0.2307	LR: 0.100000
Training Epoch: 5 [38400/48750]	Loss: 0.1808	LR: 0.100000
Training Epoch: 5 [38656/48750]	Loss: 0.2702	LR: 0.100000
Training Epoch: 5 [38912/48750]	Loss: 0.1271	LR: 0.100000
Training Epoch: 5 [39168/48750]	Loss: 0.1446	LR: 0.100000
Training Epoch: 5 [39424/48750]	Loss: 0.1854	LR: 0.100000
Training Epoch: 5 [39680/48750]	Loss: 0.1686	LR: 0.100000
Training Epoch: 5 [39936/48750]	Loss: 0.2430	LR: 0.100000
Training Epoch: 5 [40192/48750]	Loss: 0.2376	LR: 0.100000
Training Epoch: 5 [40448/48750]	Loss: 0.0988	LR: 0.100000
Training Epoch: 5 [40704/48750]	Loss: 0.1859	LR: 0.100000
Training Epoch: 5 [40960/48750]	Loss: 0.1650	LR: 0.100000
Training Epoch: 5 [41216/48750]	Loss: 0.2478	LR: 0.100000
Training Epoch: 5 [41472/48750]	Loss: 0.1700	LR: 0.100000
Training Epoch: 5 [41728/48750]	Loss: 0.1878	LR: 0.100000
Training Epoch: 5 [41984/48750]	Loss: 0.1407	LR: 0.100000
Training Epoch: 5 [42240/48750]	Loss: 0.1383	LR: 0.100000
Training Epoch: 5 [42496/48750]	Loss: 0.1732	LR: 0.100000
Training Epoch: 5 [42752/48750]	Loss: 0.1637	LR: 0.100000
Training Epoch: 5 [43008/48750]	Loss: 0.1529	LR: 0.100000
Training Epoch: 5 [43264/48750]	Loss: 0.1680	LR: 0.100000
Training Epoch: 5 [43520/48750]	Loss: 0.1520	LR: 0.100000
Training Epoch: 5 [43776/48750]	Loss: 0.1296	LR: 0.100000
Training Epoch: 5 [44032/48750]	Loss: 0.1433	LR: 0.100000
Training Epoch: 5 [44288/48750]	Loss: 0.2099	LR: 0.100000
Training Epoch: 5 [44544/48750]	Loss: 0.1592	LR: 0.100000
Training Epoch: 5 [44800/48750]	Loss: 0.1883	LR: 0.100000
Training Epoch: 5 [45056/48750]	Loss: 0.0731	LR: 0.100000
Training Epoch: 5 [45312/48750]	Loss: 0.1155	LR: 0.100000
Training Epoch: 5 [45568/48750]	Loss: 0.1731	LR: 0.100000
Training Epoch: 5 [45824/48750]	Loss: 0.2046	LR: 0.100000
Training Epoch: 5 [46080/48750]	Loss: 0.1619	LR: 0.100000
Training Epoch: 5 [46336/48750]	Loss: 0.2066	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.1841	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.1480	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.0997	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.0808	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.1551	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.2694	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.1557	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.1785	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.1168	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.1810	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1791, Train Accuracy: 0.9392
Epoch 5 training time consumed: 351.95s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0008, Accuracy: 0.9316, Time consumed:23.52s
Training Epoch: 6 [256/48750]	Loss: 0.0937	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.1810	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.1331	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.1442	LR: 0.100000
Training Epoch: 6 [1280/48750]	Loss: 0.1603	LR: 0.100000
Training Epoch: 6 [1536/48750]	Loss: 0.1526	LR: 0.100000
Training Epoch: 6 [1792/48750]	Loss: 0.1048	LR: 0.100000
Training Epoch: 6 [2048/48750]	Loss: 0.0926	LR: 0.100000
Training Epoch: 6 [2304/48750]	Loss: 0.0930	LR: 0.100000
Training Epoch: 6 [2560/48750]	Loss: 0.2308	LR: 0.100000
Training Epoch: 6 [2816/48750]	Loss: 0.1244	LR: 0.100000
Training Epoch: 6 [3072/48750]	Loss: 0.1441	LR: 0.100000
Training Epoch: 6 [3328/48750]	Loss: 0.1134	LR: 0.100000
Training Epoch: 6 [3584/48750]	Loss: 0.2534	LR: 0.100000
Training Epoch: 6 [3840/48750]	Loss: 0.1503	LR: 0.100000
Training Epoch: 6 [4096/48750]	Loss: 0.2113	LR: 0.100000
Training Epoch: 6 [4352/48750]	Loss: 0.1466	LR: 0.100000
Training Epoch: 6 [4608/48750]	Loss: 0.1944	LR: 0.100000
Training Epoch: 6 [4864/48750]	Loss: 0.1680	LR: 0.100000
Training Epoch: 6 [5120/48750]	Loss: 0.1218	LR: 0.100000
Training Epoch: 6 [5376/48750]	Loss: 0.1750	LR: 0.100000
Training Epoch: 6 [5632/48750]	Loss: 0.2180	LR: 0.100000
Training Epoch: 6 [5888/48750]	Loss: 0.1342	LR: 0.100000
Training Epoch: 6 [6144/48750]	Loss: 0.2678	LR: 0.100000
Training Epoch: 6 [6400/48750]	Loss: 0.1590	LR: 0.100000
Training Epoch: 6 [6656/48750]	Loss: 0.2006	LR: 0.100000
Training Epoch: 6 [6912/48750]	Loss: 0.1866	LR: 0.100000
Training Epoch: 6 [7168/48750]	Loss: 0.1824	LR: 0.100000
Training Epoch: 6 [7424/48750]	Loss: 0.1668	LR: 0.100000
Training Epoch: 6 [7680/48750]	Loss: 0.1588	LR: 0.100000
Training Epoch: 6 [7936/48750]	Loss: 0.2208	LR: 0.100000
Training Epoch: 6 [8192/48750]	Loss: 0.2574	LR: 0.100000
Training Epoch: 6 [8448/48750]	Loss: 0.1537	LR: 0.100000
Training Epoch: 6 [8704/48750]	Loss: 0.1096	LR: 0.100000
Training Epoch: 6 [8960/48750]	Loss: 0.2130	LR: 0.100000
Training Epoch: 6 [9216/48750]	Loss: 0.1759	LR: 0.100000
Training Epoch: 6 [9472/48750]	Loss: 0.1854	LR: 0.100000
Training Epoch: 6 [9728/48750]	Loss: 0.1113	LR: 0.100000
Training Epoch: 6 [9984/48750]	Loss: 0.0958	LR: 0.100000
Training Epoch: 6 [10240/48750]	Loss: 0.1741	LR: 0.100000
Training Epoch: 6 [10496/48750]	Loss: 0.1304	LR: 0.100000
Training Epoch: 6 [10752/48750]	Loss: 0.1115	LR: 0.100000
Training Epoch: 6 [11008/48750]	Loss: 0.2120	LR: 0.100000
Training Epoch: 6 [11264/48750]	Loss: 0.1351	LR: 0.100000
Training Epoch: 6 [11520/48750]	Loss: 0.2779	LR: 0.100000
Training Epoch: 6 [11776/48750]	Loss: 0.1452	LR: 0.100000
Training Epoch: 6 [12032/48750]	Loss: 0.0878	LR: 0.100000
Training Epoch: 6 [12288/48750]	Loss: 0.1509	LR: 0.100000
Training Epoch: 6 [12544/48750]	Loss: 0.1495	LR: 0.100000
Training Epoch: 6 [12800/48750]	Loss: 0.1289	LR: 0.100000
Training Epoch: 6 [13056/48750]	Loss: 0.1343	LR: 0.100000
Training Epoch: 6 [13312/48750]	Loss: 0.2315	LR: 0.100000
Training Epoch: 6 [13568/48750]	Loss: 0.1016	LR: 0.100000
Training Epoch: 6 [13824/48750]	Loss: 0.1252	LR: 0.100000
Training Epoch: 6 [14080/48750]	Loss: 0.1859	LR: 0.100000
Training Epoch: 6 [14336/48750]	Loss: 0.1622	LR: 0.100000
Training Epoch: 6 [14592/48750]	Loss: 0.1600	LR: 0.100000
Training Epoch: 6 [14848/48750]	Loss: 0.1673	LR: 0.100000
Training Epoch: 6 [15104/48750]	Loss: 0.2167	LR: 0.100000
Training Epoch: 6 [15360/48750]	Loss: 0.2161	LR: 0.100000
Training Epoch: 6 [15616/48750]	Loss: 0.1769	LR: 0.100000
Training Epoch: 6 [15872/48750]	Loss: 0.2055	LR: 0.100000
Training Epoch: 6 [16128/48750]	Loss: 0.2714	LR: 0.100000
Training Epoch: 6 [16384/48750]	Loss: 0.1790	LR: 0.100000
Training Epoch: 6 [16640/48750]	Loss: 0.1827	LR: 0.100000
Training Epoch: 6 [16896/48750]	Loss: 0.1356	LR: 0.100000
Training Epoch: 6 [17152/48750]	Loss: 0.1843	LR: 0.100000
Training Epoch: 6 [17408/48750]	Loss: 0.1073	LR: 0.100000
Training Epoch: 6 [17664/48750]	Loss: 0.1899	LR: 0.100000
Training Epoch: 6 [17920/48750]	Loss: 0.1750	LR: 0.100000
Training Epoch: 6 [18176/48750]	Loss: 0.2952	LR: 0.100000
Training Epoch: 6 [18432/48750]	Loss: 0.0950	LR: 0.100000
Training Epoch: 6 [18688/48750]	Loss: 0.1458	LR: 0.100000
Training Epoch: 6 [18944/48750]	Loss: 0.1592	LR: 0.100000
Training Epoch: 6 [19200/48750]	Loss: 0.0955	LR: 0.100000
Training Epoch: 6 [19456/48750]	Loss: 0.2356	LR: 0.100000
Training Epoch: 6 [19712/48750]	Loss: 0.1620	LR: 0.100000
Training Epoch: 6 [19968/48750]	Loss: 0.1764	LR: 0.100000
Training Epoch: 6 [20224/48750]	Loss: 0.1553	LR: 0.100000
Training Epoch: 6 [20480/48750]	Loss: 0.1753	LR: 0.100000
Training Epoch: 6 [20736/48750]	Loss: 0.1953	LR: 0.100000
Training Epoch: 6 [20992/48750]	Loss: 0.1524	LR: 0.100000
Training Epoch: 6 [21248/48750]	Loss: 0.2067	LR: 0.100000
Training Epoch: 6 [21504/48750]	Loss: 0.1814	LR: 0.100000
Training Epoch: 6 [21760/48750]	Loss: 0.2114	LR: 0.100000
Training Epoch: 6 [22016/48750]	Loss: 0.1366	LR: 0.100000
Training Epoch: 6 [22272/48750]	Loss: 0.3109	LR: 0.100000
Training Epoch: 6 [22528/48750]	Loss: 0.1889	LR: 0.100000
Training Epoch: 6 [22784/48750]	Loss: 0.1968	LR: 0.100000
Training Epoch: 6 [23040/48750]	Loss: 0.0992	LR: 0.100000
Training Epoch: 6 [23296/48750]	Loss: 0.1854	LR: 0.100000
Training Epoch: 6 [23552/48750]	Loss: 0.2776	LR: 0.100000
Training Epoch: 6 [23808/48750]	Loss: 0.1925	LR: 0.100000
Training Epoch: 6 [24064/48750]	Loss: 0.1432	LR: 0.100000
Training Epoch: 6 [24320/48750]	Loss: 0.2218	LR: 0.100000
Training Epoch: 6 [24576/48750]	Loss: 0.0819	LR: 0.100000
Training Epoch: 6 [24832/48750]	Loss: 0.1818	LR: 0.100000
Training Epoch: 6 [25088/48750]	Loss: 0.1517	LR: 0.100000
Training Epoch: 6 [25344/48750]	Loss: 0.2231	LR: 0.100000
Training Epoch: 6 [25600/48750]	Loss: 0.2045	LR: 0.100000
Training Epoch: 6 [25856/48750]	Loss: 0.1819	LR: 0.100000
Training Epoch: 6 [26112/48750]	Loss: 0.1283	LR: 0.100000
Training Epoch: 6 [26368/48750]	Loss: 0.3264	LR: 0.100000
Training Epoch: 6 [26624/48750]	Loss: 0.1456	LR: 0.100000
Training Epoch: 6 [26880/48750]	Loss: 0.1984	LR: 0.100000
Training Epoch: 6 [27136/48750]	Loss: 0.1517	LR: 0.100000
Training Epoch: 6 [27392/48750]	Loss: 0.1471	LR: 0.100000
Training Epoch: 6 [27648/48750]	Loss: 0.1944	LR: 0.100000
Training Epoch: 6 [27904/48750]	Loss: 0.1883	LR: 0.100000
Training Epoch: 6 [28160/48750]	Loss: 0.1231	LR: 0.100000
Training Epoch: 6 [28416/48750]	Loss: 0.1196	LR: 0.100000
Training Epoch: 6 [28672/48750]	Loss: 0.2143	LR: 0.100000
Training Epoch: 6 [28928/48750]	Loss: 0.1993	LR: 0.100000
Training Epoch: 6 [29184/48750]	Loss: 0.1877	LR: 0.100000
Training Epoch: 6 [29440/48750]	Loss: 0.1968	LR: 0.100000
Training Epoch: 6 [29696/48750]	Loss: 0.1578	LR: 0.100000
Training Epoch: 6 [29952/48750]	Loss: 0.1887	LR: 0.100000
Training Epoch: 6 [30208/48750]	Loss: 0.1886	LR: 0.100000
Training Epoch: 6 [30464/48750]	Loss: 0.0862	LR: 0.100000
Training Epoch: 6 [30720/48750]	Loss: 0.1413	LR: 0.100000
Training Epoch: 6 [30976/48750]	Loss: 0.2066	LR: 0.100000
Training Epoch: 6 [31232/48750]	Loss: 0.1293	LR: 0.100000
Training Epoch: 6 [31488/48750]	Loss: 0.2376	LR: 0.100000
Training Epoch: 6 [31744/48750]	Loss: 0.2308	LR: 0.100000
Training Epoch: 6 [32000/48750]	Loss: 0.1447	LR: 0.100000
Training Epoch: 6 [32256/48750]	Loss: 0.2288	LR: 0.100000
Training Epoch: 6 [32512/48750]	Loss: 0.1275	LR: 0.100000
Training Epoch: 6 [32768/48750]	Loss: 0.2475	LR: 0.100000
Training Epoch: 6 [33024/48750]	Loss: 0.2156	LR: 0.100000
Training Epoch: 6 [33280/48750]	Loss: 0.2618	LR: 0.100000
Training Epoch: 6 [33536/48750]	Loss: 0.1563	LR: 0.100000
Training Epoch: 6 [33792/48750]	Loss: 0.1787	LR: 0.100000
Training Epoch: 6 [34048/48750]	Loss: 0.1988	LR: 0.100000
Training Epoch: 6 [34304/48750]	Loss: 0.2222	LR: 0.100000
Training Epoch: 6 [34560/48750]	Loss: 0.1429	LR: 0.100000
Training Epoch: 6 [34816/48750]	Loss: 0.1193	LR: 0.100000
Training Epoch: 6 [35072/48750]	Loss: 0.2760	LR: 0.100000
Training Epoch: 6 [35328/48750]	Loss: 0.1865	LR: 0.100000
Training Epoch: 6 [35584/48750]	Loss: 0.1521	LR: 0.100000
Training Epoch: 6 [35840/48750]	Loss: 0.1427	LR: 0.100000
Training Epoch: 6 [36096/48750]	Loss: 0.2248	LR: 0.100000
Training Epoch: 6 [36352/48750]	Loss: 0.1202	LR: 0.100000
Training Epoch: 6 [36608/48750]	Loss: 0.1292	LR: 0.100000
Training Epoch: 6 [36864/48750]	Loss: 0.2124	LR: 0.100000
Training Epoch: 6 [37120/48750]	Loss: 0.1795	LR: 0.100000
Training Epoch: 6 [37376/48750]	Loss: 0.2069	LR: 0.100000
Training Epoch: 6 [37632/48750]	Loss: 0.2380	LR: 0.100000
Training Epoch: 6 [37888/48750]	Loss: 0.1549	LR: 0.100000
Training Epoch: 6 [38144/48750]	Loss: 0.1838	LR: 0.100000
Training Epoch: 6 [38400/48750]	Loss: 0.1453	LR: 0.100000
Training Epoch: 6 [38656/48750]	Loss: 0.2007	LR: 0.100000
Training Epoch: 6 [38912/48750]	Loss: 0.2033	LR: 0.100000
Training Epoch: 6 [39168/48750]	Loss: 0.1869	LR: 0.100000
Training Epoch: 6 [39424/48750]	Loss: 0.1992	LR: 0.100000
Training Epoch: 6 [39680/48750]	Loss: 0.1717	LR: 0.100000
Training Epoch: 6 [39936/48750]	Loss: 0.1386	LR: 0.100000
Training Epoch: 6 [40192/48750]	Loss: 0.1826	LR: 0.100000
Training Epoch: 6 [40448/48750]	Loss: 0.2105	LR: 0.100000
Training Epoch: 6 [40704/48750]	Loss: 0.1519	LR: 0.100000
Training Epoch: 6 [40960/48750]	Loss: 0.1079	LR: 0.100000
Training Epoch: 6 [41216/48750]	Loss: 0.1931	LR: 0.100000
Training Epoch: 6 [41472/48750]	Loss: 0.1786	LR: 0.100000
Training Epoch: 6 [41728/48750]	Loss: 0.1322	LR: 0.100000
Training Epoch: 6 [41984/48750]	Loss: 0.1277	LR: 0.100000
Training Epoch: 6 [42240/48750]	Loss: 0.1596	LR: 0.100000
Training Epoch: 6 [42496/48750]	Loss: 0.2018	LR: 0.100000
Training Epoch: 6 [42752/48750]	Loss: 0.1425	LR: 0.100000
Training Epoch: 6 [43008/48750]	Loss: 0.1841	LR: 0.100000
Training Epoch: 6 [43264/48750]	Loss: 0.1456	LR: 0.100000
Training Epoch: 6 [43520/48750]	Loss: 0.1434	LR: 0.100000
Training Epoch: 6 [43776/48750]	Loss: 0.2203	LR: 0.100000
Training Epoch: 6 [44032/48750]	Loss: 0.2649	LR: 0.100000
Training Epoch: 6 [44288/48750]	Loss: 0.1621	LR: 0.100000
Training Epoch: 6 [44544/48750]	Loss: 0.1988	LR: 0.100000
Training Epoch: 6 [44800/48750]	Loss: 0.1464	LR: 0.100000
Training Epoch: 6 [45056/48750]	Loss: 0.1356	LR: 0.100000
Training Epoch: 6 [45312/48750]	Loss: 0.1724	LR: 0.100000
Training Epoch: 6 [45568/48750]	Loss: 0.1678	LR: 0.100000
Training Epoch: 6 [45824/48750]	Loss: 0.1251	LR: 0.100000
Training Epoch: 6 [46080/48750]	Loss: 0.1654	LR: 0.100000
Training Epoch: 6 [46336/48750]	Loss: 0.2031	LR: 0.100000
Training Epoch: 6 [46592/48750]	Loss: 0.1579	LR: 0.100000
Training Epoch: 6 [46848/48750]	Loss: 0.3300	LR: 0.100000
Training Epoch: 6 [47104/48750]	Loss: 0.1562	LR: 0.100000
Training Epoch: 6 [47360/48750]	Loss: 0.2236	LR: 0.100000
Training Epoch: 6 [47616/48750]	Loss: 0.2679	LR: 0.100000
Training Epoch: 6 [47872/48750]	Loss: 0.0926	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.2302	LR: 0.100000
Training Epoch: 6 [48384/48750]	Loss: 0.2325	LR: 0.100000
Training Epoch: 6 [48640/48750]	Loss: 0.2126	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.2629	LR: 0.100000
Epoch 6 - Average Train Loss: 0.1756, Train Accuracy: 0.9408
Epoch 6 training time consumed: 352.58s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0008, Accuracy: 0.9309, Time consumed:23.50s
Training Epoch: 7 [256/48750]	Loss: 0.2527	LR: 0.020000
Training Epoch: 7 [512/48750]	Loss: 0.1590	LR: 0.020000
Training Epoch: 7 [768/48750]	Loss: 0.2098	LR: 0.020000
Training Epoch: 7 [1024/48750]	Loss: 0.1867	LR: 0.020000
Training Epoch: 7 [1280/48750]	Loss: 0.1820	LR: 0.020000
Training Epoch: 7 [1536/48750]	Loss: 0.0936	LR: 0.020000
Training Epoch: 7 [1792/48750]	Loss: 0.1327	LR: 0.020000
Training Epoch: 7 [2048/48750]	Loss: 0.1265	LR: 0.020000
Training Epoch: 7 [2304/48750]	Loss: 0.1066	LR: 0.020000
Training Epoch: 7 [2560/48750]	Loss: 0.0804	LR: 0.020000
Training Epoch: 7 [2816/48750]	Loss: 0.1296	LR: 0.020000
Training Epoch: 7 [3072/48750]	Loss: 0.1076	LR: 0.020000
Training Epoch: 7 [3328/48750]	Loss: 0.1191	LR: 0.020000
Training Epoch: 7 [3584/48750]	Loss: 0.1077	LR: 0.020000
Training Epoch: 7 [3840/48750]	Loss: 0.1190	LR: 0.020000
Training Epoch: 7 [4096/48750]	Loss: 0.0549	LR: 0.020000
Training Epoch: 7 [4352/48750]	Loss: 0.0583	LR: 0.020000
Training Epoch: 7 [4608/48750]	Loss: 0.0669	LR: 0.020000
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Training Epoch: 7 [16896/48750]	Loss: 0.0739	LR: 0.020000
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Training Epoch: 7 [24832/48750]	Loss: 0.0831	LR: 0.020000
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Training Epoch: 7 [28416/48750]	Loss: 0.0531	LR: 0.020000
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Training Epoch: 7 [42240/48750]	Loss: 0.0610	LR: 0.020000
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Training Epoch: 7 [43008/48750]	Loss: 0.1156	LR: 0.020000
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Training Epoch: 7 [44544/48750]	Loss: 0.0331	LR: 0.020000
Training Epoch: 7 [44800/48750]	Loss: 0.0286	LR: 0.020000
Training Epoch: 7 [45056/48750]	Loss: 0.0349	LR: 0.020000
Training Epoch: 7 [45312/48750]	Loss: 0.0351	LR: 0.020000
Training Epoch: 7 [45568/48750]	Loss: 0.0208	LR: 0.020000
Training Epoch: 7 [45824/48750]	Loss: 0.0493	LR: 0.020000
Training Epoch: 7 [46080/48750]	Loss: 0.0677	LR: 0.020000
Training Epoch: 7 [46336/48750]	Loss: 0.0542	LR: 0.020000
Training Epoch: 7 [46592/48750]	Loss: 0.0492	LR: 0.020000
Training Epoch: 7 [46848/48750]	Loss: 0.0326	LR: 0.020000
Training Epoch: 7 [47104/48750]	Loss: 0.0729	LR: 0.020000
Training Epoch: 7 [47360/48750]	Loss: 0.0636	LR: 0.020000
Training Epoch: 7 [47616/48750]	Loss: 0.0325	LR: 0.020000
Training Epoch: 7 [47872/48750]	Loss: 0.0237	LR: 0.020000
Training Epoch: 7 [48128/48750]	Loss: 0.0251	LR: 0.020000
Training Epoch: 7 [48384/48750]	Loss: 0.0455	LR: 0.020000
Training Epoch: 7 [48640/48750]	Loss: 0.0526	LR: 0.020000
Training Epoch: 7 [48750/48750]	Loss: 0.0127	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0617, Train Accuracy: 0.9786
Epoch 7 training time consumed: 352.06s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0004, Accuracy: 0.9709, Time consumed:23.48s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_18h_24m_49s/ViT-Cifar10-seed4-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0342	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.0382	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.0674	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.0734	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.0176	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.0250	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.0245	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.0381	LR: 0.020000
Training Epoch: 8 [2304/48750]	Loss: 0.0163	LR: 0.020000
Training Epoch: 8 [2560/48750]	Loss: 0.0596	LR: 0.020000
Training Epoch: 8 [2816/48750]	Loss: 0.0621	LR: 0.020000
Training Epoch: 8 [3072/48750]	Loss: 0.0517	LR: 0.020000
Training Epoch: 8 [3328/48750]	Loss: 0.0136	LR: 0.020000
Training Epoch: 8 [3584/48750]	Loss: 0.0287	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.0235	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.0744	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.0256	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.0170	LR: 0.020000
Training Epoch: 8 [4864/48750]	Loss: 0.0283	LR: 0.020000
Training Epoch: 8 [5120/48750]	Loss: 0.0311	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.0155	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.0184	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.0619	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.0273	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.0584	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.0207	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.0455	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.0138	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.0436	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.0319	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.0839	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.0236	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.0225	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.0094	LR: 0.020000
Training Epoch: 8 [8960/48750]	Loss: 0.0442	LR: 0.020000
Training Epoch: 8 [9216/48750]	Loss: 0.0792	LR: 0.020000
Training Epoch: 8 [9472/48750]	Loss: 0.0204	LR: 0.020000
Training Epoch: 8 [9728/48750]	Loss: 0.0444	LR: 0.020000
Training Epoch: 8 [9984/48750]	Loss: 0.0166	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.0258	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.0187	LR: 0.020000
Training Epoch: 8 [10752/48750]	Loss: 0.0356	LR: 0.020000
Training Epoch: 8 [11008/48750]	Loss: 0.0602	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.0477	LR: 0.020000
Training Epoch: 8 [11520/48750]	Loss: 0.0270	LR: 0.020000
Training Epoch: 8 [11776/48750]	Loss: 0.0640	LR: 0.020000
Training Epoch: 8 [12032/48750]	Loss: 0.0246	LR: 0.020000
Training Epoch: 8 [12288/48750]	Loss: 0.0432	LR: 0.020000
Training Epoch: 8 [12544/48750]	Loss: 0.0611	LR: 0.020000
Training Epoch: 8 [12800/48750]	Loss: 0.0262	LR: 0.020000
Training Epoch: 8 [13056/48750]	Loss: 0.0478	LR: 0.020000
Training Epoch: 8 [13312/48750]	Loss: 0.0531	LR: 0.020000
Training Epoch: 8 [13568/48750]	Loss: 0.0608	LR: 0.020000
Training Epoch: 8 [13824/48750]	Loss: 0.0206	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.0584	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.0210	LR: 0.020000
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Training Epoch: 8 [14848/48750]	Loss: 0.0270	LR: 0.020000
Training Epoch: 8 [15104/48750]	Loss: 0.0605	LR: 0.020000
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Training Epoch: 8 [15616/48750]	Loss: 0.0373	LR: 0.020000
Training Epoch: 8 [15872/48750]	Loss: 0.0500	LR: 0.020000
Training Epoch: 8 [16128/48750]	Loss: 0.0646	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.0581	LR: 0.020000
Training Epoch: 8 [16640/48750]	Loss: 0.0309	LR: 0.020000
Training Epoch: 8 [16896/48750]	Loss: 0.0141	LR: 0.020000
Training Epoch: 8 [17152/48750]	Loss: 0.0117	LR: 0.020000
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Training Epoch: 8 [18176/48750]	Loss: 0.0811	LR: 0.020000
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Training Epoch: 8 [18944/48750]	Loss: 0.0283	LR: 0.020000
Training Epoch: 8 [19200/48750]	Loss: 0.0565	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.0168	LR: 0.020000
Training Epoch: 8 [19712/48750]	Loss: 0.0588	LR: 0.020000
Training Epoch: 8 [19968/48750]	Loss: 0.0153	LR: 0.020000
Training Epoch: 8 [20224/48750]	Loss: 0.0509	LR: 0.020000
Training Epoch: 8 [20480/48750]	Loss: 0.0576	LR: 0.020000
Training Epoch: 8 [20736/48750]	Loss: 0.0569	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.0179	LR: 0.020000
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Training Epoch: 8 [21504/48750]	Loss: 0.0224	LR: 0.020000
Training Epoch: 8 [21760/48750]	Loss: 0.0755	LR: 0.020000
Training Epoch: 8 [22016/48750]	Loss: 0.0196	LR: 0.020000
Training Epoch: 8 [22272/48750]	Loss: 0.0145	LR: 0.020000
Training Epoch: 8 [22528/48750]	Loss: 0.0387	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.0257	LR: 0.020000
Training Epoch: 8 [23040/48750]	Loss: 0.0401	LR: 0.020000
Training Epoch: 8 [23296/48750]	Loss: 0.0388	LR: 0.020000
Training Epoch: 8 [23552/48750]	Loss: 0.0393	LR: 0.020000
Training Epoch: 8 [23808/48750]	Loss: 0.0381	LR: 0.020000
Training Epoch: 8 [24064/48750]	Loss: 0.0400	LR: 0.020000
Training Epoch: 8 [24320/48750]	Loss: 0.0200	LR: 0.020000
Training Epoch: 8 [24576/48750]	Loss: 0.0553	LR: 0.020000
Training Epoch: 8 [24832/48750]	Loss: 0.0420	LR: 0.020000
Training Epoch: 8 [25088/48750]	Loss: 0.0396	LR: 0.020000
Training Epoch: 8 [25344/48750]	Loss: 0.0331	LR: 0.020000
Training Epoch: 8 [25600/48750]	Loss: 0.0531	LR: 0.020000
Training Epoch: 8 [25856/48750]	Loss: 0.0561	LR: 0.020000
Training Epoch: 8 [26112/48750]	Loss: 0.0648	LR: 0.020000
Training Epoch: 8 [26368/48750]	Loss: 0.0502	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.0699	LR: 0.020000
Training Epoch: 8 [26880/48750]	Loss: 0.0238	LR: 0.020000
Training Epoch: 8 [27136/48750]	Loss: 0.0513	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.0288	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.0375	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.0334	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.0332	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.0441	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.0235	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.0256	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.0102	LR: 0.020000
Training Epoch: 8 [29440/48750]	Loss: 0.0237	LR: 0.020000
Training Epoch: 8 [29696/48750]	Loss: 0.0401	LR: 0.020000
Training Epoch: 8 [29952/48750]	Loss: 0.0667	LR: 0.020000
Training Epoch: 8 [30208/48750]	Loss: 0.0190	LR: 0.020000
Training Epoch: 8 [30464/48750]	Loss: 0.0498	LR: 0.020000
Training Epoch: 8 [30720/48750]	Loss: 0.0249	LR: 0.020000
Training Epoch: 8 [30976/48750]	Loss: 0.0199	LR: 0.020000
Training Epoch: 8 [31232/48750]	Loss: 0.0212	LR: 0.020000
Training Epoch: 8 [31488/48750]	Loss: 0.0404	LR: 0.020000
Training Epoch: 8 [31744/48750]	Loss: 0.0246	LR: 0.020000
Training Epoch: 8 [32000/48750]	Loss: 0.0194	LR: 0.020000
Training Epoch: 8 [32256/48750]	Loss: 0.0586	LR: 0.020000
Training Epoch: 8 [32512/48750]	Loss: 0.0305	LR: 0.020000
Training Epoch: 8 [32768/48750]	Loss: 0.0334	LR: 0.020000
Training Epoch: 8 [33024/48750]	Loss: 0.0546	LR: 0.020000
Training Epoch: 8 [33280/48750]	Loss: 0.0268	LR: 0.020000
Training Epoch: 8 [33536/48750]	Loss: 0.0554	LR: 0.020000
Training Epoch: 8 [33792/48750]	Loss: 0.0410	LR: 0.020000
Training Epoch: 8 [34048/48750]	Loss: 0.0291	LR: 0.020000
Training Epoch: 8 [34304/48750]	Loss: 0.0311	LR: 0.020000
Training Epoch: 8 [34560/48750]	Loss: 0.0158	LR: 0.020000
Training Epoch: 8 [34816/48750]	Loss: 0.0610	LR: 0.020000
Training Epoch: 8 [35072/48750]	Loss: 0.0700	LR: 0.020000
Training Epoch: 8 [35328/48750]	Loss: 0.0729	LR: 0.020000
Training Epoch: 8 [35584/48750]	Loss: 0.0672	LR: 0.020000
Training Epoch: 8 [35840/48750]	Loss: 0.0310	LR: 0.020000
Training Epoch: 8 [36096/48750]	Loss: 0.0455	LR: 0.020000
Training Epoch: 8 [36352/48750]	Loss: 0.0156	LR: 0.020000
Training Epoch: 8 [36608/48750]	Loss: 0.0136	LR: 0.020000
Training Epoch: 8 [36864/48750]	Loss: 0.0211	LR: 0.020000
Training Epoch: 8 [37120/48750]	Loss: 0.0583	LR: 0.020000
Training Epoch: 8 [37376/48750]	Loss: 0.0311	LR: 0.020000
Training Epoch: 8 [37632/48750]	Loss: 0.0576	LR: 0.020000
Training Epoch: 8 [37888/48750]	Loss: 0.0416	LR: 0.020000
Training Epoch: 8 [38144/48750]	Loss: 0.0130	LR: 0.020000
Training Epoch: 8 [38400/48750]	Loss: 0.0240	LR: 0.020000
Training Epoch: 8 [38656/48750]	Loss: 0.0352	LR: 0.020000
Training Epoch: 8 [38912/48750]	Loss: 0.0444	LR: 0.020000
Training Epoch: 8 [39168/48750]	Loss: 0.0659	LR: 0.020000
Training Epoch: 8 [39424/48750]	Loss: 0.0386	LR: 0.020000
Training Epoch: 8 [39680/48750]	Loss: 0.0248	LR: 0.020000
Training Epoch: 8 [39936/48750]	Loss: 0.0511	LR: 0.020000
Training Epoch: 8 [40192/48750]	Loss: 0.0480	LR: 0.020000
Training Epoch: 8 [40448/48750]	Loss: 0.0140	LR: 0.020000
Training Epoch: 8 [40704/48750]	Loss: 0.0169	LR: 0.020000
Training Epoch: 8 [40960/48750]	Loss: 0.0475	LR: 0.020000
Training Epoch: 8 [41216/48750]	Loss: 0.0504	LR: 0.020000
Training Epoch: 8 [41472/48750]	Loss: 0.0363	LR: 0.020000
Training Epoch: 8 [41728/48750]	Loss: 0.0572	LR: 0.020000
Training Epoch: 8 [41984/48750]	Loss: 0.0383	LR: 0.020000
Training Epoch: 8 [42240/48750]	Loss: 0.0301	LR: 0.020000
Training Epoch: 8 [42496/48750]	Loss: 0.0931	LR: 0.020000
Training Epoch: 8 [42752/48750]	Loss: 0.0529	LR: 0.020000
Training Epoch: 8 [43008/48750]	Loss: 0.0346	LR: 0.020000
Training Epoch: 8 [43264/48750]	Loss: 0.0176	LR: 0.020000
Training Epoch: 8 [43520/48750]	Loss: 0.0605	LR: 0.020000
Training Epoch: 8 [43776/48750]	Loss: 0.0377	LR: 0.020000
Training Epoch: 8 [44032/48750]	Loss: 0.0529	LR: 0.020000
Training Epoch: 8 [44288/48750]	Loss: 0.0331	LR: 0.020000
Training Epoch: 8 [44544/48750]	Loss: 0.0291	LR: 0.020000
Training Epoch: 8 [44800/48750]	Loss: 0.0255	LR: 0.020000
Training Epoch: 8 [45056/48750]	Loss: 0.0209	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.0603	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.0193	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.0322	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.0625	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.0337	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.0304	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.0397	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.0544	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.0475	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.0421	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.0305	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.0669	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.0536	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.0698	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.0322	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0399, Train Accuracy: 0.9866
Epoch 8 training time consumed: 352.07s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0003, Accuracy: 0.9726, Time consumed:23.54s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_18h_24m_49s/ViT-Cifar10-seed4-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: 97.32421875
Retain Accuracy: 98.99858093261719
Zero-Retain Forget (ZRF): 0.77183997631073
Membership Inference Attack (MIA): 0.0
Forget vs Retain Membership Inference Attack (MIA): 0.52
Forget vs Test Membership Inference Attack (MIA): 0.54
Test vs Retain Membership Inference Attack (MIA): 0.49925
Train vs Test Membership Inference Attack (MIA): 0.51475
Forget Set Accuracy (Df): 95.9637680053711
Method Execution Time: 5484.41 seconds
