hello
hello

📌S Retain class distribution for seed 2:
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 2:
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: 2.5133	LR: 0.000000
Training Epoch: 1 [512/48750]	Loss: 2.5085	LR: 0.000524
Training Epoch: 1 [768/48750]	Loss: 2.4580	LR: 0.001047
Training Epoch: 1 [1024/48750]	Loss: 2.4279	LR: 0.001571
Training Epoch: 1 [1280/48750]	Loss: 2.3637	LR: 0.002094
Training Epoch: 1 [1536/48750]	Loss: 2.2993	LR: 0.002618
Training Epoch: 1 [1792/48750]	Loss: 2.1568	LR: 0.003141
Training Epoch: 1 [2048/48750]	Loss: 1.9841	LR: 0.003665
Training Epoch: 1 [2304/48750]	Loss: 1.7849	LR: 0.004188
Training Epoch: 1 [2560/48750]	Loss: 1.5246	LR: 0.004712
Training Epoch: 1 [2816/48750]	Loss: 1.2750	LR: 0.005236
Training Epoch: 1 [3072/48750]	Loss: 1.0903	LR: 0.005759
Training Epoch: 1 [3328/48750]	Loss: 0.8998	LR: 0.006283
Training Epoch: 1 [3584/48750]	Loss: 0.7198	LR: 0.006806
Training Epoch: 1 [3840/48750]	Loss: 0.6024	LR: 0.007330
Training Epoch: 1 [4096/48750]	Loss: 0.3700	LR: 0.007853
Training Epoch: 1 [4352/48750]	Loss: 0.3548	LR: 0.008377
Training Epoch: 1 [4608/48750]	Loss: 0.3623	LR: 0.008901
Training Epoch: 1 [4864/48750]	Loss: 0.2081	LR: 0.009424
Training Epoch: 1 [5120/48750]	Loss: 0.2708	LR: 0.009948
Training Epoch: 1 [5376/48750]	Loss: 0.2044	LR: 0.010471
Training Epoch: 1 [5632/48750]	Loss: 0.2352	LR: 0.010995
Training Epoch: 1 [5888/48750]	Loss: 0.3082	LR: 0.011518
Training Epoch: 1 [6144/48750]	Loss: 0.1950	LR: 0.012042
Training Epoch: 1 [6400/48750]	Loss: 0.2514	LR: 0.012565
Training Epoch: 1 [6656/48750]	Loss: 0.3060	LR: 0.013089
Training Epoch: 1 [6912/48750]	Loss: 0.1759	LR: 0.013613
Training Epoch: 1 [7168/48750]	Loss: 0.2546	LR: 0.014136
Training Epoch: 1 [7424/48750]	Loss: 0.2595	LR: 0.014660
Training Epoch: 1 [7680/48750]	Loss: 0.2077	LR: 0.015183
Training Epoch: 1 [7936/48750]	Loss: 0.2915	LR: 0.015707
Training Epoch: 1 [8192/48750]	Loss: 0.1954	LR: 0.016230
Training Epoch: 1 [8448/48750]	Loss: 0.2154	LR: 0.016754
Training Epoch: 1 [8704/48750]	Loss: 0.1831	LR: 0.017277
Training Epoch: 1 [8960/48750]	Loss: 0.1674	LR: 0.017801
Training Epoch: 1 [9216/48750]	Loss: 0.1894	LR: 0.018325
Training Epoch: 1 [9472/48750]	Loss: 0.1319	LR: 0.018848
Training Epoch: 1 [9728/48750]	Loss: 0.2050	LR: 0.019372
Training Epoch: 1 [9984/48750]	Loss: 0.1126	LR: 0.019895
Training Epoch: 1 [10240/48750]	Loss: 0.2079	LR: 0.020419
Training Epoch: 1 [10496/48750]	Loss: 0.2571	LR: 0.020942
Training Epoch: 1 [10752/48750]	Loss: 0.1474	LR: 0.021466
Training Epoch: 1 [11008/48750]	Loss: 0.3867	LR: 0.021990
Training Epoch: 1 [11264/48750]	Loss: 0.2825	LR: 0.022513
Training Epoch: 1 [11520/48750]	Loss: 0.1933	LR: 0.023037
Training Epoch: 1 [11776/48750]	Loss: 0.2522	LR: 0.023560
Training Epoch: 1 [12032/48750]	Loss: 0.1989	LR: 0.024084
Training Epoch: 1 [12288/48750]	Loss: 0.1924	LR: 0.024607
Training Epoch: 1 [12544/48750]	Loss: 0.2999	LR: 0.025131
Training Epoch: 1 [12800/48750]	Loss: 0.3113	LR: 0.025654
Training Epoch: 1 [13056/48750]	Loss: 0.1792	LR: 0.026178
Training Epoch: 1 [13312/48750]	Loss: 0.2229	LR: 0.026702
Training Epoch: 1 [13568/48750]	Loss: 0.1719	LR: 0.027225
Training Epoch: 1 [13824/48750]	Loss: 0.2033	LR: 0.027749
Training Epoch: 1 [14080/48750]	Loss: 0.2591	LR: 0.028272
Training Epoch: 1 [14336/48750]	Loss: 0.2457	LR: 0.028796
Training Epoch: 1 [14592/48750]	Loss: 0.2905	LR: 0.029319
Training Epoch: 1 [14848/48750]	Loss: 0.3632	LR: 0.029843
Training Epoch: 1 [15104/48750]	Loss: 0.2941	LR: 0.030366
Training Epoch: 1 [15360/48750]	Loss: 0.2223	LR: 0.030890
Training Epoch: 1 [15616/48750]	Loss: 0.2122	LR: 0.031414
Training Epoch: 1 [15872/48750]	Loss: 0.2222	LR: 0.031937
Training Epoch: 1 [16128/48750]	Loss: 0.1713	LR: 0.032461
Training Epoch: 1 [16384/48750]	Loss: 0.1696	LR: 0.032984
Training Epoch: 1 [16640/48750]	Loss: 0.1408	LR: 0.033508
Training Epoch: 1 [16896/48750]	Loss: 0.2243	LR: 0.034031
Training Epoch: 1 [17152/48750]	Loss: 0.2783	LR: 0.034555
Training Epoch: 1 [17408/48750]	Loss: 0.2050	LR: 0.035079
Training Epoch: 1 [17664/48750]	Loss: 0.2847	LR: 0.035602
Training Epoch: 1 [17920/48750]	Loss: 0.2355	LR: 0.036126
Training Epoch: 1 [18176/48750]	Loss: 0.2137	LR: 0.036649
Training Epoch: 1 [18432/48750]	Loss: 0.4337	LR: 0.037173
Training Epoch: 1 [18688/48750]	Loss: 0.2699	LR: 0.037696
Training Epoch: 1 [18944/48750]	Loss: 0.2236	LR: 0.038220
Training Epoch: 1 [19200/48750]	Loss: 0.4443	LR: 0.038743
Training Epoch: 1 [19456/48750]	Loss: 0.2751	LR: 0.039267
Training Epoch: 1 [19712/48750]	Loss: 0.3264	LR: 0.039791
Training Epoch: 1 [19968/48750]	Loss: 0.2340	LR: 0.040314
Training Epoch: 1 [20224/48750]	Loss: 0.3114	LR: 0.040838
Training Epoch: 1 [20480/48750]	Loss: 0.3446	LR: 0.041361
Training Epoch: 1 [20736/48750]	Loss: 0.2267	LR: 0.041885
Training Epoch: 1 [20992/48750]	Loss: 0.1794	LR: 0.042408
Training Epoch: 1 [21248/48750]	Loss: 0.2776	LR: 0.042932
Training Epoch: 1 [21504/48750]	Loss: 0.2632	LR: 0.043455
Training Epoch: 1 [21760/48750]	Loss: 0.1912	LR: 0.043979
Training Epoch: 1 [22016/48750]	Loss: 0.3750	LR: 0.044503
Training Epoch: 1 [22272/48750]	Loss: 0.2115	LR: 0.045026
Training Epoch: 1 [22528/48750]	Loss: 0.2091	LR: 0.045550
Training Epoch: 1 [22784/48750]	Loss: 0.3722	LR: 0.046073
Training Epoch: 1 [23040/48750]	Loss: 0.1822	LR: 0.046597
Training Epoch: 1 [23296/48750]	Loss: 0.2678	LR: 0.047120
Training Epoch: 1 [23552/48750]	Loss: 0.2386	LR: 0.047644
Training Epoch: 1 [23808/48750]	Loss: 0.1975	LR: 0.048168
Training Epoch: 1 [24064/48750]	Loss: 0.1947	LR: 0.048691
Training Epoch: 1 [24320/48750]	Loss: 0.2469	LR: 0.049215
Training Epoch: 1 [24576/48750]	Loss: 0.2487	LR: 0.049738
Training Epoch: 1 [24832/48750]	Loss: 0.1435	LR: 0.050262
Training Epoch: 1 [25088/48750]	Loss: 0.2063	LR: 0.050785
Training Epoch: 1 [25344/48750]	Loss: 0.2017	LR: 0.051309
Training Epoch: 1 [25600/48750]	Loss: 0.1877	LR: 0.051832
Training Epoch: 1 [25856/48750]	Loss: 0.3377	LR: 0.052356
Training Epoch: 1 [26112/48750]	Loss: 0.2004	LR: 0.052880
Training Epoch: 1 [26368/48750]	Loss: 0.1924	LR: 0.053403
Training Epoch: 1 [26624/48750]	Loss: 0.1987	LR: 0.053927
Training Epoch: 1 [26880/48750]	Loss: 0.1522	LR: 0.054450
Training Epoch: 1 [27136/48750]	Loss: 0.2623	LR: 0.054974
Training Epoch: 1 [27392/48750]	Loss: 0.3436	LR: 0.055497
Training Epoch: 1 [27648/48750]	Loss: 0.2217	LR: 0.056021
Training Epoch: 1 [27904/48750]	Loss: 0.2735	LR: 0.056545
Training Epoch: 1 [28160/48750]	Loss: 0.1917	LR: 0.057068
Training Epoch: 1 [28416/48750]	Loss: 0.2558	LR: 0.057592
Training Epoch: 1 [28672/48750]	Loss: 0.2771	LR: 0.058115
Training Epoch: 1 [28928/48750]	Loss: 0.2223	LR: 0.058639
Training Epoch: 1 [29184/48750]	Loss: 0.2421	LR: 0.059162
Training Epoch: 1 [29440/48750]	Loss: 0.2999	LR: 0.059686
Training Epoch: 1 [29696/48750]	Loss: 0.3101	LR: 0.060209
Training Epoch: 1 [29952/48750]	Loss: 0.4438	LR: 0.060733
Training Epoch: 1 [30208/48750]	Loss: 0.2774	LR: 0.061257
Training Epoch: 1 [30464/48750]	Loss: 0.3415	LR: 0.061780
Training Epoch: 1 [30720/48750]	Loss: 0.2738	LR: 0.062304
Training Epoch: 1 [30976/48750]	Loss: 0.3588	LR: 0.062827
Training Epoch: 1 [31232/48750]	Loss: 0.1817	LR: 0.063351
Training Epoch: 1 [31488/48750]	Loss: 0.2003	LR: 0.063874
Training Epoch: 1 [31744/48750]	Loss: 0.2363	LR: 0.064398
Training Epoch: 1 [32000/48750]	Loss: 0.1883	LR: 0.064921
Training Epoch: 1 [32256/48750]	Loss: 0.3358	LR: 0.065445
Training Epoch: 1 [32512/48750]	Loss: 0.3119	LR: 0.065969
Training Epoch: 1 [32768/48750]	Loss: 0.2683	LR: 0.066492
Training Epoch: 1 [33024/48750]	Loss: 0.2199	LR: 0.067016
Training Epoch: 1 [33280/48750]	Loss: 0.2263	LR: 0.067539
Training Epoch: 1 [33536/48750]	Loss: 0.2866	LR: 0.068063
Training Epoch: 1 [33792/48750]	Loss: 0.2645	LR: 0.068586
Training Epoch: 1 [34048/48750]	Loss: 0.2282	LR: 0.069110
Training Epoch: 1 [34304/48750]	Loss: 0.2190	LR: 0.069634
Training Epoch: 1 [34560/48750]	Loss: 0.3475	LR: 0.070157
Training Epoch: 1 [34816/48750]	Loss: 0.4064	LR: 0.070681
Training Epoch: 1 [35072/48750]	Loss: 0.2482	LR: 0.071204
Training Epoch: 1 [35328/48750]	Loss: 0.3460	LR: 0.071728
Training Epoch: 1 [35584/48750]	Loss: 0.2184	LR: 0.072251
Training Epoch: 1 [35840/48750]	Loss: 0.4243	LR: 0.072775
Training Epoch: 1 [36096/48750]	Loss: 0.2304	LR: 0.073298
Training Epoch: 1 [36352/48750]	Loss: 0.3293	LR: 0.073822
Training Epoch: 1 [36608/48750]	Loss: 0.2248	LR: 0.074346
Training Epoch: 1 [36864/48750]	Loss: 0.2064	LR: 0.074869
Training Epoch: 1 [37120/48750]	Loss: 0.3360	LR: 0.075393
Training Epoch: 1 [37376/48750]	Loss: 0.2336	LR: 0.075916
Training Epoch: 1 [37632/48750]	Loss: 0.3104	LR: 0.076440
Training Epoch: 1 [37888/48750]	Loss: 0.1941	LR: 0.076963
Training Epoch: 1 [38144/48750]	Loss: 0.4173	LR: 0.077487
Training Epoch: 1 [38400/48750]	Loss: 0.3346	LR: 0.078010
Training Epoch: 1 [38656/48750]	Loss: 0.2108	LR: 0.078534
Training Epoch: 1 [38912/48750]	Loss: 0.2610	LR: 0.079058
Training Epoch: 1 [39168/48750]	Loss: 0.3103	LR: 0.079581
Training Epoch: 1 [39424/48750]	Loss: 0.3321	LR: 0.080105
Training Epoch: 1 [39680/48750]	Loss: 0.3270	LR: 0.080628
Training Epoch: 1 [39936/48750]	Loss: 0.3650	LR: 0.081152
Training Epoch: 1 [40192/48750]	Loss: 0.3542	LR: 0.081675
Training Epoch: 1 [40448/48750]	Loss: 0.4526	LR: 0.082199
Training Epoch: 1 [40704/48750]	Loss: 0.2825	LR: 0.082723
Training Epoch: 1 [40960/48750]	Loss: 0.2513	LR: 0.083246
Training Epoch: 1 [41216/48750]	Loss: 0.3575	LR: 0.083770
Training Epoch: 1 [41472/48750]	Loss: 0.2361	LR: 0.084293
Training Epoch: 1 [41728/48750]	Loss: 0.2140	LR: 0.084817
Training Epoch: 1 [41984/48750]	Loss: 0.2117	LR: 0.085340
Training Epoch: 1 [42240/48750]	Loss: 0.2603	LR: 0.085864
Training Epoch: 1 [42496/48750]	Loss: 0.3573	LR: 0.086387
Training Epoch: 1 [42752/48750]	Loss: 0.2658	LR: 0.086911
Training Epoch: 1 [43008/48750]	Loss: 0.2926	LR: 0.087435
Training Epoch: 1 [43264/48750]	Loss: 0.2509	LR: 0.087958
Training Epoch: 1 [43520/48750]	Loss: 0.3362	LR: 0.088482
Training Epoch: 1 [43776/48750]	Loss: 0.3225	LR: 0.089005
Training Epoch: 1 [44032/48750]	Loss: 0.2078	LR: 0.089529
Training Epoch: 1 [44288/48750]	Loss: 0.3053	LR: 0.090052
Training Epoch: 1 [44544/48750]	Loss: 0.3894	LR: 0.090576
Training Epoch: 1 [44800/48750]	Loss: 0.2327	LR: 0.091099
Training Epoch: 1 [45056/48750]	Loss: 0.3490	LR: 0.091623
Training Epoch: 1 [45312/48750]	Loss: 0.3931	LR: 0.092147
Training Epoch: 1 [45568/48750]	Loss: 0.3229	LR: 0.092670
Training Epoch: 1 [45824/48750]	Loss: 0.3565	LR: 0.093194
Training Epoch: 1 [46080/48750]	Loss: 0.3430	LR: 0.093717
Training Epoch: 1 [46336/48750]	Loss: 0.4260	LR: 0.094241
Training Epoch: 1 [46592/48750]	Loss: 0.2608	LR: 0.094764
Training Epoch: 1 [46848/48750]	Loss: 0.3593	LR: 0.095288
Training Epoch: 1 [47104/48750]	Loss: 0.2832	LR: 0.095812
Training Epoch: 1 [47360/48750]	Loss: 0.3257	LR: 0.096335
Training Epoch: 1 [47616/48750]	Loss: 0.2854	LR: 0.096859
Training Epoch: 1 [47872/48750]	Loss: 0.2052	LR: 0.097382
Training Epoch: 1 [48128/48750]	Loss: 0.2065	LR: 0.097906
Training Epoch: 1 [48384/48750]	Loss: 0.2908	LR: 0.098429
Training Epoch: 1 [48640/48750]	Loss: 0.2236	LR: 0.098953
Training Epoch: 1 [48750/48750]	Loss: 0.1539	LR: 0.099476
Epoch 1 - Average Train Loss: 0.3835, Train Accuracy: 0.8760
Epoch 1 training time consumed: 352.30s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0007, Accuracy: 0.9392, Time consumed:23.47s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_15h_24m_06s/ViT-Cifar10-seed2-ret75-1-best.pth
Training Epoch: 2 [256/48750]	Loss: 0.2396	LR: 0.100000
Training Epoch: 2 [512/48750]	Loss: 0.2542	LR: 0.100000
Training Epoch: 2 [768/48750]	Loss: 0.2206	LR: 0.100000
Training Epoch: 2 [1024/48750]	Loss: 0.2061	LR: 0.100000
Training Epoch: 2 [1280/48750]	Loss: 0.3848	LR: 0.100000
Training Epoch: 2 [1536/48750]	Loss: 0.2231	LR: 0.100000
Training Epoch: 2 [1792/48750]	Loss: 0.2698	LR: 0.100000
Training Epoch: 2 [2048/48750]	Loss: 0.3008	LR: 0.100000
Training Epoch: 2 [2304/48750]	Loss: 0.4033	LR: 0.100000
Training Epoch: 2 [2560/48750]	Loss: 0.3269	LR: 0.100000
Training Epoch: 2 [2816/48750]	Loss: 0.2446	LR: 0.100000
Training Epoch: 2 [3072/48750]	Loss: 0.4098	LR: 0.100000
Training Epoch: 2 [3328/48750]	Loss: 0.3025	LR: 0.100000
Training Epoch: 2 [3584/48750]	Loss: 0.2799	LR: 0.100000
Training Epoch: 2 [3840/48750]	Loss: 0.3177	LR: 0.100000
Training Epoch: 2 [4096/48750]	Loss: 0.2523	LR: 0.100000
Training Epoch: 2 [4352/48750]	Loss: 0.2453	LR: 0.100000
Training Epoch: 2 [4608/48750]	Loss: 0.2784	LR: 0.100000
Training Epoch: 2 [4864/48750]	Loss: 0.3277	LR: 0.100000
Training Epoch: 2 [5120/48750]	Loss: 0.2232	LR: 0.100000
Training Epoch: 2 [5376/48750]	Loss: 0.2694	LR: 0.100000
Training Epoch: 2 [5632/48750]	Loss: 0.3773	LR: 0.100000
Training Epoch: 2 [5888/48750]	Loss: 0.3311	LR: 0.100000
Training Epoch: 2 [6144/48750]	Loss: 0.2503	LR: 0.100000
Training Epoch: 2 [6400/48750]	Loss: 0.2666	LR: 0.100000
Training Epoch: 2 [6656/48750]	Loss: 0.1961	LR: 0.100000
Training Epoch: 2 [6912/48750]	Loss: 0.3056	LR: 0.100000
Training Epoch: 2 [7168/48750]	Loss: 0.3059	LR: 0.100000
Training Epoch: 2 [7424/48750]	Loss: 0.1953	LR: 0.100000
Training Epoch: 2 [7680/48750]	Loss: 0.3100	LR: 0.100000
Training Epoch: 2 [7936/48750]	Loss: 0.2212	LR: 0.100000
Training Epoch: 2 [8192/48750]	Loss: 0.1827	LR: 0.100000
Training Epoch: 2 [8448/48750]	Loss: 0.2035	LR: 0.100000
Training Epoch: 2 [8704/48750]	Loss: 0.1802	LR: 0.100000
Training Epoch: 2 [8960/48750]	Loss: 0.1552	LR: 0.100000
Training Epoch: 2 [9216/48750]	Loss: 0.1789	LR: 0.100000
Training Epoch: 2 [9472/48750]	Loss: 0.1680	LR: 0.100000
Training Epoch: 2 [9728/48750]	Loss: 0.2470	LR: 0.100000
Training Epoch: 2 [9984/48750]	Loss: 0.2641	LR: 0.100000
Training Epoch: 2 [10240/48750]	Loss: 0.2489	LR: 0.100000
Training Epoch: 2 [10496/48750]	Loss: 0.1745	LR: 0.100000
Training Epoch: 2 [10752/48750]	Loss: 0.1739	LR: 0.100000
Training Epoch: 2 [11008/48750]	Loss: 0.2884	LR: 0.100000
Training Epoch: 2 [11264/48750]	Loss: 0.2530	LR: 0.100000
Training Epoch: 2 [11520/48750]	Loss: 0.3353	LR: 0.100000
Training Epoch: 2 [11776/48750]	Loss: 0.2439	LR: 0.100000
Training Epoch: 2 [12032/48750]	Loss: 0.3452	LR: 0.100000
Training Epoch: 2 [12288/48750]	Loss: 0.1927	LR: 0.100000
Training Epoch: 2 [12544/48750]	Loss: 0.1414	LR: 0.100000
Training Epoch: 2 [12800/48750]	Loss: 0.2547	LR: 0.100000
Training Epoch: 2 [13056/48750]	Loss: 0.1781	LR: 0.100000
Training Epoch: 2 [13312/48750]	Loss: 0.1833	LR: 0.100000
Training Epoch: 2 [13568/48750]	Loss: 0.1851	LR: 0.100000
Training Epoch: 2 [13824/48750]	Loss: 0.2009	LR: 0.100000
Training Epoch: 2 [14080/48750]	Loss: 0.1799	LR: 0.100000
Training Epoch: 2 [14336/48750]	Loss: 0.1403	LR: 0.100000
Training Epoch: 2 [14592/48750]	Loss: 0.1894	LR: 0.100000
Training Epoch: 2 [14848/48750]	Loss: 0.1508	LR: 0.100000
Training Epoch: 2 [15104/48750]	Loss: 0.2472	LR: 0.100000
Training Epoch: 2 [15360/48750]	Loss: 0.2840	LR: 0.100000
Training Epoch: 2 [15616/48750]	Loss: 0.1567	LR: 0.100000
Training Epoch: 2 [15872/48750]	Loss: 0.2075	LR: 0.100000
Training Epoch: 2 [16128/48750]	Loss: 0.1913	LR: 0.100000
Training Epoch: 2 [16384/48750]	Loss: 0.2472	LR: 0.100000
Training Epoch: 2 [16640/48750]	Loss: 0.1681	LR: 0.100000
Training Epoch: 2 [16896/48750]	Loss: 0.2009	LR: 0.100000
Training Epoch: 2 [17152/48750]	Loss: 0.1753	LR: 0.100000
Training Epoch: 2 [17408/48750]	Loss: 0.1951	LR: 0.100000
Training Epoch: 2 [17664/48750]	Loss: 0.2427	LR: 0.100000
Training Epoch: 2 [17920/48750]	Loss: 0.2523	LR: 0.100000
Training Epoch: 2 [18176/48750]	Loss: 0.1739	LR: 0.100000
Training Epoch: 2 [18432/48750]	Loss: 0.2171	LR: 0.100000
Training Epoch: 2 [18688/48750]	Loss: 0.2035	LR: 0.100000
Training Epoch: 2 [18944/48750]	Loss: 0.1653	LR: 0.100000
Training Epoch: 2 [19200/48750]	Loss: 0.2024	LR: 0.100000
Training Epoch: 2 [19456/48750]	Loss: 0.2044	LR: 0.100000
Training Epoch: 2 [19712/48750]	Loss: 0.2698	LR: 0.100000
Training Epoch: 2 [19968/48750]	Loss: 0.2244	LR: 0.100000
Training Epoch: 2 [20224/48750]	Loss: 0.2343	LR: 0.100000
Training Epoch: 2 [20480/48750]	Loss: 0.1502	LR: 0.100000
Training Epoch: 2 [20736/48750]	Loss: 0.2965	LR: 0.100000
Training Epoch: 2 [20992/48750]	Loss: 0.3436	LR: 0.100000
Training Epoch: 2 [21248/48750]	Loss: 0.2229	LR: 0.100000
Training Epoch: 2 [21504/48750]	Loss: 0.2296	LR: 0.100000
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Training Epoch: 2 [47616/48750]	Loss: 0.1822	LR: 0.100000
Training Epoch: 2 [47872/48750]	Loss: 0.1946	LR: 0.100000
Training Epoch: 2 [48128/48750]	Loss: 0.1379	LR: 0.100000
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Training Epoch: 2 [48640/48750]	Loss: 0.2031	LR: 0.100000
Training Epoch: 2 [48750/48750]	Loss: 0.2821	LR: 0.100000
Epoch 2 - Average Train Loss: 0.2109, Train Accuracy: 0.9300
Epoch 2 training time consumed: 351.30s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0006, Accuracy: 0.9512, Time consumed:23.48s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_15h_24m_06s/ViT-Cifar10-seed2-ret75-2-best.pth
Training Epoch: 3 [256/48750]	Loss: 0.2469	LR: 0.100000
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Training Epoch: 3 [48384/48750]	Loss: 0.1542	LR: 0.100000
Training Epoch: 3 [48640/48750]	Loss: 0.1456	LR: 0.100000
Training Epoch: 3 [48750/48750]	Loss: 0.0384	LR: 0.100000
Epoch 3 - Average Train Loss: 0.1600, Train Accuracy: 0.9466
Epoch 3 training time consumed: 351.31s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0005, Accuracy: 0.9571, Time consumed:23.47s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_15h_24m_06s/ViT-Cifar10-seed2-ret75-3-best.pth
Training Epoch: 4 [256/48750]	Loss: 0.0961	LR: 0.100000
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Training Epoch: 4 [48750/48750]	Loss: 0.1271	LR: 0.100000
Epoch 4 - Average Train Loss: 0.1553, Train Accuracy: 0.9466
Epoch 4 training time consumed: 351.26s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0006, Accuracy: 0.9495, Time consumed:23.47s
Training Epoch: 5 [256/48750]	Loss: 0.0693	LR: 0.100000
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Training Epoch: 5 [25856/48750]	Loss: 0.1556	LR: 0.100000
Training Epoch: 5 [26112/48750]	Loss: 0.2071	LR: 0.100000
Training Epoch: 5 [26368/48750]	Loss: 0.1751	LR: 0.100000
Training Epoch: 5 [26624/48750]	Loss: 0.1602	LR: 0.100000
Training Epoch: 5 [26880/48750]	Loss: 0.1953	LR: 0.100000
Training Epoch: 5 [27136/48750]	Loss: 0.1278	LR: 0.100000
Training Epoch: 5 [27392/48750]	Loss: 0.1744	LR: 0.100000
Training Epoch: 5 [27648/48750]	Loss: 0.1460	LR: 0.100000
Training Epoch: 5 [27904/48750]	Loss: 0.1659	LR: 0.100000
Training Epoch: 5 [28160/48750]	Loss: 0.1693	LR: 0.100000
Training Epoch: 5 [28416/48750]	Loss: 0.1102	LR: 0.100000
Training Epoch: 5 [28672/48750]	Loss: 0.2298	LR: 0.100000
Training Epoch: 5 [28928/48750]	Loss: 0.1304	LR: 0.100000
Training Epoch: 5 [29184/48750]	Loss: 0.1287	LR: 0.100000
Training Epoch: 5 [29440/48750]	Loss: 0.1070	LR: 0.100000
Training Epoch: 5 [29696/48750]	Loss: 0.1982	LR: 0.100000
Training Epoch: 5 [29952/48750]	Loss: 0.2494	LR: 0.100000
Training Epoch: 5 [30208/48750]	Loss: 0.2048	LR: 0.100000
Training Epoch: 5 [30464/48750]	Loss: 0.1473	LR: 0.100000
Training Epoch: 5 [30720/48750]	Loss: 0.1527	LR: 0.100000
Training Epoch: 5 [30976/48750]	Loss: 0.1573	LR: 0.100000
Training Epoch: 5 [31232/48750]	Loss: 0.2251	LR: 0.100000
Training Epoch: 5 [31488/48750]	Loss: 0.2490	LR: 0.100000
Training Epoch: 5 [31744/48750]	Loss: 0.2505	LR: 0.100000
Training Epoch: 5 [32000/48750]	Loss: 0.1377	LR: 0.100000
Training Epoch: 5 [32256/48750]	Loss: 0.1701	LR: 0.100000
Training Epoch: 5 [32512/48750]	Loss: 0.1664	LR: 0.100000
Training Epoch: 5 [32768/48750]	Loss: 0.2128	LR: 0.100000
Training Epoch: 5 [33024/48750]	Loss: 0.1928	LR: 0.100000
Training Epoch: 5 [33280/48750]	Loss: 0.1193	LR: 0.100000
Training Epoch: 5 [33536/48750]	Loss: 0.2157	LR: 0.100000
Training Epoch: 5 [33792/48750]	Loss: 0.1536	LR: 0.100000
Training Epoch: 5 [34048/48750]	Loss: 0.1333	LR: 0.100000
Training Epoch: 5 [34304/48750]	Loss: 0.1425	LR: 0.100000
Training Epoch: 5 [34560/48750]	Loss: 0.1738	LR: 0.100000
Training Epoch: 5 [34816/48750]	Loss: 0.1531	LR: 0.100000
Training Epoch: 5 [35072/48750]	Loss: 0.2304	LR: 0.100000
Training Epoch: 5 [35328/48750]	Loss: 0.2357	LR: 0.100000
Training Epoch: 5 [35584/48750]	Loss: 0.1555	LR: 0.100000
Training Epoch: 5 [35840/48750]	Loss: 0.1964	LR: 0.100000
Training Epoch: 5 [36096/48750]	Loss: 0.2022	LR: 0.100000
Training Epoch: 5 [36352/48750]	Loss: 0.1606	LR: 0.100000
Training Epoch: 5 [36608/48750]	Loss: 0.1772	LR: 0.100000
Training Epoch: 5 [36864/48750]	Loss: 0.1717	LR: 0.100000
Training Epoch: 5 [37120/48750]	Loss: 0.1739	LR: 0.100000
Training Epoch: 5 [37376/48750]	Loss: 0.0919	LR: 0.100000
Training Epoch: 5 [37632/48750]	Loss: 0.1452	LR: 0.100000
Training Epoch: 5 [37888/48750]	Loss: 0.2173	LR: 0.100000
Training Epoch: 5 [38144/48750]	Loss: 0.1334	LR: 0.100000
Training Epoch: 5 [38400/48750]	Loss: 0.1510	LR: 0.100000
Training Epoch: 5 [38656/48750]	Loss: 0.2091	LR: 0.100000
Training Epoch: 5 [38912/48750]	Loss: 0.1220	LR: 0.100000
Training Epoch: 5 [39168/48750]	Loss: 0.1140	LR: 0.100000
Training Epoch: 5 [39424/48750]	Loss: 0.1559	LR: 0.100000
Training Epoch: 5 [39680/48750]	Loss: 0.1084	LR: 0.100000
Training Epoch: 5 [39936/48750]	Loss: 0.0786	LR: 0.100000
Training Epoch: 5 [40192/48750]	Loss: 0.1239	LR: 0.100000
Training Epoch: 5 [40448/48750]	Loss: 0.1832	LR: 0.100000
Training Epoch: 5 [40704/48750]	Loss: 0.1540	LR: 0.100000
Training Epoch: 5 [40960/48750]	Loss: 0.1723	LR: 0.100000
Training Epoch: 5 [41216/48750]	Loss: 0.1957	LR: 0.100000
Training Epoch: 5 [41472/48750]	Loss: 0.1561	LR: 0.100000
Training Epoch: 5 [41728/48750]	Loss: 0.1843	LR: 0.100000
Training Epoch: 5 [41984/48750]	Loss: 0.2121	LR: 0.100000
Training Epoch: 5 [42240/48750]	Loss: 0.2182	LR: 0.100000
Training Epoch: 5 [42496/48750]	Loss: 0.1743	LR: 0.100000
Training Epoch: 5 [42752/48750]	Loss: 0.1126	LR: 0.100000
Training Epoch: 5 [43008/48750]	Loss: 0.2618	LR: 0.100000
Training Epoch: 5 [43264/48750]	Loss: 0.1813	LR: 0.100000
Training Epoch: 5 [43520/48750]	Loss: 0.2295	LR: 0.100000
Training Epoch: 5 [43776/48750]	Loss: 0.1961	LR: 0.100000
Training Epoch: 5 [44032/48750]	Loss: 0.2202	LR: 0.100000
Training Epoch: 5 [44288/48750]	Loss: 0.2058	LR: 0.100000
Training Epoch: 5 [44544/48750]	Loss: 0.1861	LR: 0.100000
Training Epoch: 5 [44800/48750]	Loss: 0.1426	LR: 0.100000
Training Epoch: 5 [45056/48750]	Loss: 0.1724	LR: 0.100000
Training Epoch: 5 [45312/48750]	Loss: 0.2115	LR: 0.100000
Training Epoch: 5 [45568/48750]	Loss: 0.0915	LR: 0.100000
Training Epoch: 5 [45824/48750]	Loss: 0.1461	LR: 0.100000
Training Epoch: 5 [46080/48750]	Loss: 0.3583	LR: 0.100000
Training Epoch: 5 [46336/48750]	Loss: 0.2076	LR: 0.100000
Training Epoch: 5 [46592/48750]	Loss: 0.1355	LR: 0.100000
Training Epoch: 5 [46848/48750]	Loss: 0.2938	LR: 0.100000
Training Epoch: 5 [47104/48750]	Loss: 0.2039	LR: 0.100000
Training Epoch: 5 [47360/48750]	Loss: 0.3305	LR: 0.100000
Training Epoch: 5 [47616/48750]	Loss: 0.2008	LR: 0.100000
Training Epoch: 5 [47872/48750]	Loss: 0.2467	LR: 0.100000
Training Epoch: 5 [48128/48750]	Loss: 0.2040	LR: 0.100000
Training Epoch: 5 [48384/48750]	Loss: 0.1881	LR: 0.100000
Training Epoch: 5 [48640/48750]	Loss: 0.2029	LR: 0.100000
Training Epoch: 5 [48750/48750]	Loss: 0.0873	LR: 0.100000
Epoch 5 - Average Train Loss: 0.1694, Train Accuracy: 0.9422
Epoch 5 training time consumed: 351.46s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0008, Accuracy: 0.9336, Time consumed:23.44s
Training Epoch: 6 [256/48750]	Loss: 0.2106	LR: 0.100000
Training Epoch: 6 [512/48750]	Loss: 0.1518	LR: 0.100000
Training Epoch: 6 [768/48750]	Loss: 0.1231	LR: 0.100000
Training Epoch: 6 [1024/48750]	Loss: 0.1047	LR: 0.100000
Training Epoch: 6 [1280/48750]	Loss: 0.1411	LR: 0.100000
Training Epoch: 6 [1536/48750]	Loss: 0.2345	LR: 0.100000
Training Epoch: 6 [1792/48750]	Loss: 0.1474	LR: 0.100000
Training Epoch: 6 [2048/48750]	Loss: 0.1354	LR: 0.100000
Training Epoch: 6 [2304/48750]	Loss: 0.1099	LR: 0.100000
Training Epoch: 6 [2560/48750]	Loss: 0.1283	LR: 0.100000
Training Epoch: 6 [2816/48750]	Loss: 0.2117	LR: 0.100000
Training Epoch: 6 [3072/48750]	Loss: 0.0845	LR: 0.100000
Training Epoch: 6 [3328/48750]	Loss: 0.1253	LR: 0.100000
Training Epoch: 6 [3584/48750]	Loss: 0.1734	LR: 0.100000
Training Epoch: 6 [3840/48750]	Loss: 0.1376	LR: 0.100000
Training Epoch: 6 [4096/48750]	Loss: 0.2228	LR: 0.100000
Training Epoch: 6 [4352/48750]	Loss: 0.1195	LR: 0.100000
Training Epoch: 6 [4608/48750]	Loss: 0.1899	LR: 0.100000
Training Epoch: 6 [4864/48750]	Loss: 0.2292	LR: 0.100000
Training Epoch: 6 [5120/48750]	Loss: 0.1398	LR: 0.100000
Training Epoch: 6 [5376/48750]	Loss: 0.2492	LR: 0.100000
Training Epoch: 6 [5632/48750]	Loss: 0.2133	LR: 0.100000
Training Epoch: 6 [5888/48750]	Loss: 0.1448	LR: 0.100000
Training Epoch: 6 [6144/48750]	Loss: 0.1486	LR: 0.100000
Training Epoch: 6 [6400/48750]	Loss: 0.2212	LR: 0.100000
Training Epoch: 6 [6656/48750]	Loss: 0.1683	LR: 0.100000
Training Epoch: 6 [6912/48750]	Loss: 0.1170	LR: 0.100000
Training Epoch: 6 [7168/48750]	Loss: 0.1243	LR: 0.100000
Training Epoch: 6 [7424/48750]	Loss: 0.2542	LR: 0.100000
Training Epoch: 6 [7680/48750]	Loss: 0.1932	LR: 0.100000
Training Epoch: 6 [7936/48750]	Loss: 0.2607	LR: 0.100000
Training Epoch: 6 [8192/48750]	Loss: 0.1969	LR: 0.100000
Training Epoch: 6 [8448/48750]	Loss: 0.2472	LR: 0.100000
Training Epoch: 6 [8704/48750]	Loss: 0.1961	LR: 0.100000
Training Epoch: 6 [8960/48750]	Loss: 0.1667	LR: 0.100000
Training Epoch: 6 [9216/48750]	Loss: 0.1841	LR: 0.100000
Training Epoch: 6 [9472/48750]	Loss: 0.2419	LR: 0.100000
Training Epoch: 6 [9728/48750]	Loss: 0.2168	LR: 0.100000
Training Epoch: 6 [9984/48750]	Loss: 0.2679	LR: 0.100000
Training Epoch: 6 [10240/48750]	Loss: 0.1629	LR: 0.100000
Training Epoch: 6 [10496/48750]	Loss: 0.2711	LR: 0.100000
Training Epoch: 6 [10752/48750]	Loss: 0.1339	LR: 0.100000
Training Epoch: 6 [11008/48750]	Loss: 0.2520	LR: 0.100000
Training Epoch: 6 [11264/48750]	Loss: 0.2268	LR: 0.100000
Training Epoch: 6 [11520/48750]	Loss: 0.1952	LR: 0.100000
Training Epoch: 6 [11776/48750]	Loss: 0.1416	LR: 0.100000
Training Epoch: 6 [12032/48750]	Loss: 0.2367	LR: 0.100000
Training Epoch: 6 [12288/48750]	Loss: 0.2502	LR: 0.100000
Training Epoch: 6 [12544/48750]	Loss: 0.2356	LR: 0.100000
Training Epoch: 6 [12800/48750]	Loss: 0.1679	LR: 0.100000
Training Epoch: 6 [13056/48750]	Loss: 0.2224	LR: 0.100000
Training Epoch: 6 [13312/48750]	Loss: 0.3415	LR: 0.100000
Training Epoch: 6 [13568/48750]	Loss: 0.1350	LR: 0.100000
Training Epoch: 6 [13824/48750]	Loss: 0.1906	LR: 0.100000
Training Epoch: 6 [14080/48750]	Loss: 0.2688	LR: 0.100000
Training Epoch: 6 [14336/48750]	Loss: 0.2307	LR: 0.100000
Training Epoch: 6 [14592/48750]	Loss: 0.1917	LR: 0.100000
Training Epoch: 6 [14848/48750]	Loss: 0.1952	LR: 0.100000
Training Epoch: 6 [15104/48750]	Loss: 0.1451	LR: 0.100000
Training Epoch: 6 [15360/48750]	Loss: 0.1626	LR: 0.100000
Training Epoch: 6 [15616/48750]	Loss: 0.1926	LR: 0.100000
Training Epoch: 6 [15872/48750]	Loss: 0.1557	LR: 0.100000
Training Epoch: 6 [16128/48750]	Loss: 0.2203	LR: 0.100000
Training Epoch: 6 [16384/48750]	Loss: 0.2002	LR: 0.100000
Training Epoch: 6 [16640/48750]	Loss: 0.1682	LR: 0.100000
Training Epoch: 6 [16896/48750]	Loss: 0.1274	LR: 0.100000
Training Epoch: 6 [17152/48750]	Loss: 0.1719	LR: 0.100000
Training Epoch: 6 [17408/48750]	Loss: 0.1563	LR: 0.100000
Training Epoch: 6 [17664/48750]	Loss: 0.1934	LR: 0.100000
Training Epoch: 6 [17920/48750]	Loss: 0.1580	LR: 0.100000
Training Epoch: 6 [18176/48750]	Loss: 0.1638	LR: 0.100000
Training Epoch: 6 [18432/48750]	Loss: 0.1266	LR: 0.100000
Training Epoch: 6 [18688/48750]	Loss: 0.2363	LR: 0.100000
Training Epoch: 6 [18944/48750]	Loss: 0.1362	LR: 0.100000
Training Epoch: 6 [19200/48750]	Loss: 0.2378	LR: 0.100000
Training Epoch: 6 [19456/48750]	Loss: 0.1895	LR: 0.100000
Training Epoch: 6 [19712/48750]	Loss: 0.1947	LR: 0.100000
Training Epoch: 6 [19968/48750]	Loss: 0.2008	LR: 0.100000
Training Epoch: 6 [20224/48750]	Loss: 0.1548	LR: 0.100000
Training Epoch: 6 [20480/48750]	Loss: 0.1592	LR: 0.100000
Training Epoch: 6 [20736/48750]	Loss: 0.2121	LR: 0.100000
Training Epoch: 6 [20992/48750]	Loss: 0.0834	LR: 0.100000
Training Epoch: 6 [21248/48750]	Loss: 0.2181	LR: 0.100000
Training Epoch: 6 [21504/48750]	Loss: 0.1935	LR: 0.100000
Training Epoch: 6 [21760/48750]	Loss: 0.1865	LR: 0.100000
Training Epoch: 6 [22016/48750]	Loss: 0.1806	LR: 0.100000
Training Epoch: 6 [22272/48750]	Loss: 0.1857	LR: 0.100000
Training Epoch: 6 [22528/48750]	Loss: 0.1351	LR: 0.100000
Training Epoch: 6 [22784/48750]	Loss: 0.1087	LR: 0.100000
Training Epoch: 6 [23040/48750]	Loss: 0.2202	LR: 0.100000
Training Epoch: 6 [23296/48750]	Loss: 0.1597	LR: 0.100000
Training Epoch: 6 [23552/48750]	Loss: 0.1120	LR: 0.100000
Training Epoch: 6 [23808/48750]	Loss: 0.1150	LR: 0.100000
Training Epoch: 6 [24064/48750]	Loss: 0.1882	LR: 0.100000
Training Epoch: 6 [24320/48750]	Loss: 0.1704	LR: 0.100000
Training Epoch: 6 [24576/48750]	Loss: 0.1331	LR: 0.100000
Training Epoch: 6 [24832/48750]	Loss: 0.1256	LR: 0.100000
Training Epoch: 6 [25088/48750]	Loss: 0.2055	LR: 0.100000
Training Epoch: 6 [25344/48750]	Loss: 0.1535	LR: 0.100000
Training Epoch: 6 [25600/48750]	Loss: 0.1588	LR: 0.100000
Training Epoch: 6 [25856/48750]	Loss: 0.2083	LR: 0.100000
Training Epoch: 6 [26112/48750]	Loss: 0.2750	LR: 0.100000
Training Epoch: 6 [26368/48750]	Loss: 0.2277	LR: 0.100000
Training Epoch: 6 [26624/48750]	Loss: 0.2364	LR: 0.100000
Training Epoch: 6 [26880/48750]	Loss: 0.1114	LR: 0.100000
Training Epoch: 6 [27136/48750]	Loss: 0.1410	LR: 0.100000
Training Epoch: 6 [27392/48750]	Loss: 0.1471	LR: 0.100000
Training Epoch: 6 [27648/48750]	Loss: 0.1928	LR: 0.100000
Training Epoch: 6 [27904/48750]	Loss: 0.2330	LR: 0.100000
Training Epoch: 6 [28160/48750]	Loss: 0.1266	LR: 0.100000
Training Epoch: 6 [28416/48750]	Loss: 0.1420	LR: 0.100000
Training Epoch: 6 [28672/48750]	Loss: 0.1734	LR: 0.100000
Training Epoch: 6 [28928/48750]	Loss: 0.1801	LR: 0.100000
Training Epoch: 6 [29184/48750]	Loss: 0.1866	LR: 0.100000
Training Epoch: 6 [29440/48750]	Loss: 0.1757	LR: 0.100000
Training Epoch: 6 [29696/48750]	Loss: 0.1521	LR: 0.100000
Training Epoch: 6 [29952/48750]	Loss: 0.2351	LR: 0.100000
Training Epoch: 6 [30208/48750]	Loss: 0.1843	LR: 0.100000
Training Epoch: 6 [30464/48750]	Loss: 0.0921	LR: 0.100000
Training Epoch: 6 [30720/48750]	Loss: 0.0962	LR: 0.100000
Training Epoch: 6 [30976/48750]	Loss: 0.1435	LR: 0.100000
Training Epoch: 6 [31232/48750]	Loss: 0.2219	LR: 0.100000
Training Epoch: 6 [31488/48750]	Loss: 0.1569	LR: 0.100000
Training Epoch: 6 [31744/48750]	Loss: 0.2100	LR: 0.100000
Training Epoch: 6 [32000/48750]	Loss: 0.2374	LR: 0.100000
Training Epoch: 6 [32256/48750]	Loss: 0.2599	LR: 0.100000
Training Epoch: 6 [32512/48750]	Loss: 0.1991	LR: 0.100000
Training Epoch: 6 [32768/48750]	Loss: 0.2446	LR: 0.100000
Training Epoch: 6 [33024/48750]	Loss: 0.2340	LR: 0.100000
Training Epoch: 6 [33280/48750]	Loss: 0.2315	LR: 0.100000
Training Epoch: 6 [33536/48750]	Loss: 0.1247	LR: 0.100000
Training Epoch: 6 [33792/48750]	Loss: 0.1387	LR: 0.100000
Training Epoch: 6 [34048/48750]	Loss: 0.2608	LR: 0.100000
Training Epoch: 6 [34304/48750]	Loss: 0.3014	LR: 0.100000
Training Epoch: 6 [34560/48750]	Loss: 0.2504	LR: 0.100000
Training Epoch: 6 [34816/48750]	Loss: 0.2320	LR: 0.100000
Training Epoch: 6 [35072/48750]	Loss: 0.1872	LR: 0.100000
Training Epoch: 6 [35328/48750]	Loss: 0.2258	LR: 0.100000
Training Epoch: 6 [35584/48750]	Loss: 0.2861	LR: 0.100000
Training Epoch: 6 [35840/48750]	Loss: 0.1501	LR: 0.100000
Training Epoch: 6 [36096/48750]	Loss: 0.1873	LR: 0.100000
Training Epoch: 6 [36352/48750]	Loss: 0.1761	LR: 0.100000
Training Epoch: 6 [36608/48750]	Loss: 0.1513	LR: 0.100000
Training Epoch: 6 [36864/48750]	Loss: 0.2685	LR: 0.100000
Training Epoch: 6 [37120/48750]	Loss: 0.3098	LR: 0.100000
Training Epoch: 6 [37376/48750]	Loss: 0.2791	LR: 0.100000
Training Epoch: 6 [37632/48750]	Loss: 0.1656	LR: 0.100000
Training Epoch: 6 [37888/48750]	Loss: 0.1142	LR: 0.100000
Training Epoch: 6 [38144/48750]	Loss: 0.1983	LR: 0.100000
Training Epoch: 6 [38400/48750]	Loss: 0.0957	LR: 0.100000
Training Epoch: 6 [38656/48750]	Loss: 0.2627	LR: 0.100000
Training Epoch: 6 [38912/48750]	Loss: 0.1713	LR: 0.100000
Training Epoch: 6 [39168/48750]	Loss: 0.2496	LR: 0.100000
Training Epoch: 6 [39424/48750]	Loss: 0.2137	LR: 0.100000
Training Epoch: 6 [39680/48750]	Loss: 0.1715	LR: 0.100000
Training Epoch: 6 [39936/48750]	Loss: 0.1792	LR: 0.100000
Training Epoch: 6 [40192/48750]	Loss: 0.1630	LR: 0.100000
Training Epoch: 6 [40448/48750]	Loss: 0.2005	LR: 0.100000
Training Epoch: 6 [40704/48750]	Loss: 0.2357	LR: 0.100000
Training Epoch: 6 [40960/48750]	Loss: 0.2078	LR: 0.100000
Training Epoch: 6 [41216/48750]	Loss: 0.1899	LR: 0.100000
Training Epoch: 6 [41472/48750]	Loss: 0.3095	LR: 0.100000
Training Epoch: 6 [41728/48750]	Loss: 0.1964	LR: 0.100000
Training Epoch: 6 [41984/48750]	Loss: 0.1973	LR: 0.100000
Training Epoch: 6 [42240/48750]	Loss: 0.1787	LR: 0.100000
Training Epoch: 6 [42496/48750]	Loss: 0.1853	LR: 0.100000
Training Epoch: 6 [42752/48750]	Loss: 0.1891	LR: 0.100000
Training Epoch: 6 [43008/48750]	Loss: 0.2205	LR: 0.100000
Training Epoch: 6 [43264/48750]	Loss: 0.1504	LR: 0.100000
Training Epoch: 6 [43520/48750]	Loss: 0.1758	LR: 0.100000
Training Epoch: 6 [43776/48750]	Loss: 0.2346	LR: 0.100000
Training Epoch: 6 [44032/48750]	Loss: 0.1450	LR: 0.100000
Training Epoch: 6 [44288/48750]	Loss: 0.1135	LR: 0.100000
Training Epoch: 6 [44544/48750]	Loss: 0.1751	LR: 0.100000
Training Epoch: 6 [44800/48750]	Loss: 0.2278	LR: 0.100000
Training Epoch: 6 [45056/48750]	Loss: 0.2347	LR: 0.100000
Training Epoch: 6 [45312/48750]	Loss: 0.2159	LR: 0.100000
Training Epoch: 6 [45568/48750]	Loss: 0.2353	LR: 0.100000
Training Epoch: 6 [45824/48750]	Loss: 0.1755	LR: 0.100000
Training Epoch: 6 [46080/48750]	Loss: 0.1703	LR: 0.100000
Training Epoch: 6 [46336/48750]	Loss: 0.1597	LR: 0.100000
Training Epoch: 6 [46592/48750]	Loss: 0.2815	LR: 0.100000
Training Epoch: 6 [46848/48750]	Loss: 0.1844	LR: 0.100000
Training Epoch: 6 [47104/48750]	Loss: 0.1913	LR: 0.100000
Training Epoch: 6 [47360/48750]	Loss: 0.1777	LR: 0.100000
Training Epoch: 6 [47616/48750]	Loss: 0.3039	LR: 0.100000
Training Epoch: 6 [47872/48750]	Loss: 0.4022	LR: 0.100000
Training Epoch: 6 [48128/48750]	Loss: 0.2947	LR: 0.100000
Training Epoch: 6 [48384/48750]	Loss: 0.2395	LR: 0.100000
Training Epoch: 6 [48640/48750]	Loss: 0.2358	LR: 0.100000
Training Epoch: 6 [48750/48750]	Loss: 0.3798	LR: 0.100000
Epoch 6 - Average Train Loss: 0.1914, Train Accuracy: 0.9332
Epoch 6 training time consumed: 352.12s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0009, Accuracy: 0.9238, Time consumed:23.47s
Training Epoch: 7 [256/48750]	Loss: 0.2109	LR: 0.020000
Training Epoch: 7 [512/48750]	Loss: 0.2083	LR: 0.020000
Training Epoch: 7 [768/48750]	Loss: 0.1499	LR: 0.020000
Training Epoch: 7 [1024/48750]	Loss: 0.1968	LR: 0.020000
Training Epoch: 7 [1280/48750]	Loss: 0.0933	LR: 0.020000
Training Epoch: 7 [1536/48750]	Loss: 0.1551	LR: 0.020000
Training Epoch: 7 [1792/48750]	Loss: 0.1483	LR: 0.020000
Training Epoch: 7 [2048/48750]	Loss: 0.1058	LR: 0.020000
Training Epoch: 7 [2304/48750]	Loss: 0.1656	LR: 0.020000
Training Epoch: 7 [2560/48750]	Loss: 0.1549	LR: 0.020000
Training Epoch: 7 [2816/48750]	Loss: 0.1353	LR: 0.020000
Training Epoch: 7 [3072/48750]	Loss: 0.0754	LR: 0.020000
Training Epoch: 7 [3328/48750]	Loss: 0.1295	LR: 0.020000
Training Epoch: 7 [3584/48750]	Loss: 0.0410	LR: 0.020000
Training Epoch: 7 [3840/48750]	Loss: 0.1080	LR: 0.020000
Training Epoch: 7 [4096/48750]	Loss: 0.0942	LR: 0.020000
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Training Epoch: 7 [45056/48750]	Loss: 0.0377	LR: 0.020000
Training Epoch: 7 [45312/48750]	Loss: 0.0855	LR: 0.020000
Training Epoch: 7 [45568/48750]	Loss: 0.0576	LR: 0.020000
Training Epoch: 7 [45824/48750]	Loss: 0.0324	LR: 0.020000
Training Epoch: 7 [46080/48750]	Loss: 0.0335	LR: 0.020000
Training Epoch: 7 [46336/48750]	Loss: 0.0605	LR: 0.020000
Training Epoch: 7 [46592/48750]	Loss: 0.0431	LR: 0.020000
Training Epoch: 7 [46848/48750]	Loss: 0.0374	LR: 0.020000
Training Epoch: 7 [47104/48750]	Loss: 0.0596	LR: 0.020000
Training Epoch: 7 [47360/48750]	Loss: 0.0484	LR: 0.020000
Training Epoch: 7 [47616/48750]	Loss: 0.0521	LR: 0.020000
Training Epoch: 7 [47872/48750]	Loss: 0.0508	LR: 0.020000
Training Epoch: 7 [48128/48750]	Loss: 0.0250	LR: 0.020000
Training Epoch: 7 [48384/48750]	Loss: 0.0242	LR: 0.020000
Training Epoch: 7 [48640/48750]	Loss: 0.0441	LR: 0.020000
Training Epoch: 7 [48750/48750]	Loss: 0.0257	LR: 0.020000
Epoch 7 - Average Train Loss: 0.0628, Train Accuracy: 0.9781
Epoch 7 training time consumed: 351.30s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0004, Accuracy: 0.9709, Time consumed:23.45s
Saving weights file to checkpoint/retrain/ViT/Saturday_19_July_2025_15h_24m_06s/ViT-Cifar10-seed2-ret75-7-best.pth
Training Epoch: 8 [256/48750]	Loss: 0.0298	LR: 0.020000
Training Epoch: 8 [512/48750]	Loss: 0.0921	LR: 0.020000
Training Epoch: 8 [768/48750]	Loss: 0.0679	LR: 0.020000
Training Epoch: 8 [1024/48750]	Loss: 0.0206	LR: 0.020000
Training Epoch: 8 [1280/48750]	Loss: 0.0226	LR: 0.020000
Training Epoch: 8 [1536/48750]	Loss: 0.0455	LR: 0.020000
Training Epoch: 8 [1792/48750]	Loss: 0.0406	LR: 0.020000
Training Epoch: 8 [2048/48750]	Loss: 0.0398	LR: 0.020000
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Training Epoch: 8 [2816/48750]	Loss: 0.0617	LR: 0.020000
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Training Epoch: 8 [3584/48750]	Loss: 0.0364	LR: 0.020000
Training Epoch: 8 [3840/48750]	Loss: 0.0163	LR: 0.020000
Training Epoch: 8 [4096/48750]	Loss: 0.0578	LR: 0.020000
Training Epoch: 8 [4352/48750]	Loss: 0.0403	LR: 0.020000
Training Epoch: 8 [4608/48750]	Loss: 0.0150	LR: 0.020000
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Training Epoch: 8 [5120/48750]	Loss: 0.0386	LR: 0.020000
Training Epoch: 8 [5376/48750]	Loss: 0.0422	LR: 0.020000
Training Epoch: 8 [5632/48750]	Loss: 0.0826	LR: 0.020000
Training Epoch: 8 [5888/48750]	Loss: 0.0361	LR: 0.020000
Training Epoch: 8 [6144/48750]	Loss: 0.0462	LR: 0.020000
Training Epoch: 8 [6400/48750]	Loss: 0.0249	LR: 0.020000
Training Epoch: 8 [6656/48750]	Loss: 0.0724	LR: 0.020000
Training Epoch: 8 [6912/48750]	Loss: 0.0143	LR: 0.020000
Training Epoch: 8 [7168/48750]	Loss: 0.0483	LR: 0.020000
Training Epoch: 8 [7424/48750]	Loss: 0.0348	LR: 0.020000
Training Epoch: 8 [7680/48750]	Loss: 0.0774	LR: 0.020000
Training Epoch: 8 [7936/48750]	Loss: 0.0229	LR: 0.020000
Training Epoch: 8 [8192/48750]	Loss: 0.0560	LR: 0.020000
Training Epoch: 8 [8448/48750]	Loss: 0.0698	LR: 0.020000
Training Epoch: 8 [8704/48750]	Loss: 0.0251	LR: 0.020000
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Training Epoch: 8 [9984/48750]	Loss: 0.0306	LR: 0.020000
Training Epoch: 8 [10240/48750]	Loss: 0.0484	LR: 0.020000
Training Epoch: 8 [10496/48750]	Loss: 0.0335	LR: 0.020000
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Training Epoch: 8 [11008/48750]	Loss: 0.0392	LR: 0.020000
Training Epoch: 8 [11264/48750]	Loss: 0.0304	LR: 0.020000
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Training Epoch: 8 [12800/48750]	Loss: 0.0222	LR: 0.020000
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Training Epoch: 8 [13824/48750]	Loss: 0.0436	LR: 0.020000
Training Epoch: 8 [14080/48750]	Loss: 0.0272	LR: 0.020000
Training Epoch: 8 [14336/48750]	Loss: 0.0229	LR: 0.020000
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Training Epoch: 8 [16128/48750]	Loss: 0.0531	LR: 0.020000
Training Epoch: 8 [16384/48750]	Loss: 0.0414	LR: 0.020000
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Training Epoch: 8 [16896/48750]	Loss: 0.0189	LR: 0.020000
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Training Epoch: 8 [19200/48750]	Loss: 0.0230	LR: 0.020000
Training Epoch: 8 [19456/48750]	Loss: 0.0229	LR: 0.020000
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Training Epoch: 8 [20224/48750]	Loss: 0.0326	LR: 0.020000
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Training Epoch: 8 [20736/48750]	Loss: 0.0151	LR: 0.020000
Training Epoch: 8 [20992/48750]	Loss: 0.0389	LR: 0.020000
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Training Epoch: 8 [22016/48750]	Loss: 0.0387	LR: 0.020000
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Training Epoch: 8 [22528/48750]	Loss: 0.0739	LR: 0.020000
Training Epoch: 8 [22784/48750]	Loss: 0.0501	LR: 0.020000
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Training Epoch: 8 [24576/48750]	Loss: 0.0174	LR: 0.020000
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Training Epoch: 8 [26368/48750]	Loss: 0.0395	LR: 0.020000
Training Epoch: 8 [26624/48750]	Loss: 0.0322	LR: 0.020000
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Training Epoch: 8 [27136/48750]	Loss: 0.0479	LR: 0.020000
Training Epoch: 8 [27392/48750]	Loss: 0.0608	LR: 0.020000
Training Epoch: 8 [27648/48750]	Loss: 0.0377	LR: 0.020000
Training Epoch: 8 [27904/48750]	Loss: 0.0438	LR: 0.020000
Training Epoch: 8 [28160/48750]	Loss: 0.0514	LR: 0.020000
Training Epoch: 8 [28416/48750]	Loss: 0.0198	LR: 0.020000
Training Epoch: 8 [28672/48750]	Loss: 0.0093	LR: 0.020000
Training Epoch: 8 [28928/48750]	Loss: 0.0335	LR: 0.020000
Training Epoch: 8 [29184/48750]	Loss: 0.1048	LR: 0.020000
Training Epoch: 8 [29440/48750]	Loss: 0.0413	LR: 0.020000
Training Epoch: 8 [29696/48750]	Loss: 0.0657	LR: 0.020000
Training Epoch: 8 [29952/48750]	Loss: 0.0186	LR: 0.020000
Training Epoch: 8 [30208/48750]	Loss: 0.0361	LR: 0.020000
Training Epoch: 8 [30464/48750]	Loss: 0.0448	LR: 0.020000
Training Epoch: 8 [30720/48750]	Loss: 0.0307	LR: 0.020000
Training Epoch: 8 [30976/48750]	Loss: 0.0472	LR: 0.020000
Training Epoch: 8 [31232/48750]	Loss: 0.0269	LR: 0.020000
Training Epoch: 8 [31488/48750]	Loss: 0.0573	LR: 0.020000
Training Epoch: 8 [31744/48750]	Loss: 0.0171	LR: 0.020000
Training Epoch: 8 [32000/48750]	Loss: 0.0297	LR: 0.020000
Training Epoch: 8 [32256/48750]	Loss: 0.0284	LR: 0.020000
Training Epoch: 8 [32512/48750]	Loss: 0.0416	LR: 0.020000
Training Epoch: 8 [32768/48750]	Loss: 0.0633	LR: 0.020000
Training Epoch: 8 [33024/48750]	Loss: 0.0473	LR: 0.020000
Training Epoch: 8 [33280/48750]	Loss: 0.0361	LR: 0.020000
Training Epoch: 8 [33536/48750]	Loss: 0.0326	LR: 0.020000
Training Epoch: 8 [33792/48750]	Loss: 0.0625	LR: 0.020000
Training Epoch: 8 [34048/48750]	Loss: 0.0286	LR: 0.020000
Training Epoch: 8 [34304/48750]	Loss: 0.0566	LR: 0.020000
Training Epoch: 8 [34560/48750]	Loss: 0.0257	LR: 0.020000
Training Epoch: 8 [34816/48750]	Loss: 0.0499	LR: 0.020000
Training Epoch: 8 [35072/48750]	Loss: 0.0343	LR: 0.020000
Training Epoch: 8 [35328/48750]	Loss: 0.0183	LR: 0.020000
Training Epoch: 8 [35584/48750]	Loss: 0.0328	LR: 0.020000
Training Epoch: 8 [35840/48750]	Loss: 0.0460	LR: 0.020000
Training Epoch: 8 [36096/48750]	Loss: 0.0216	LR: 0.020000
Training Epoch: 8 [36352/48750]	Loss: 0.0300	LR: 0.020000
Training Epoch: 8 [36608/48750]	Loss: 0.0606	LR: 0.020000
Training Epoch: 8 [36864/48750]	Loss: 0.0867	LR: 0.020000
Training Epoch: 8 [37120/48750]	Loss: 0.0228	LR: 0.020000
Training Epoch: 8 [37376/48750]	Loss: 0.0480	LR: 0.020000
Training Epoch: 8 [37632/48750]	Loss: 0.0689	LR: 0.020000
Training Epoch: 8 [37888/48750]	Loss: 0.0165	LR: 0.020000
Training Epoch: 8 [38144/48750]	Loss: 0.0633	LR: 0.020000
Training Epoch: 8 [38400/48750]	Loss: 0.0505	LR: 0.020000
Training Epoch: 8 [38656/48750]	Loss: 0.0384	LR: 0.020000
Training Epoch: 8 [38912/48750]	Loss: 0.0417	LR: 0.020000
Training Epoch: 8 [39168/48750]	Loss: 0.0480	LR: 0.020000
Training Epoch: 8 [39424/48750]	Loss: 0.0207	LR: 0.020000
Training Epoch: 8 [39680/48750]	Loss: 0.0520	LR: 0.020000
Training Epoch: 8 [39936/48750]	Loss: 0.0564	LR: 0.020000
Training Epoch: 8 [40192/48750]	Loss: 0.0315	LR: 0.020000
Training Epoch: 8 [40448/48750]	Loss: 0.0379	LR: 0.020000
Training Epoch: 8 [40704/48750]	Loss: 0.0532	LR: 0.020000
Training Epoch: 8 [40960/48750]	Loss: 0.0521	LR: 0.020000
Training Epoch: 8 [41216/48750]	Loss: 0.0407	LR: 0.020000
Training Epoch: 8 [41472/48750]	Loss: 0.0564	LR: 0.020000
Training Epoch: 8 [41728/48750]	Loss: 0.0853	LR: 0.020000
Training Epoch: 8 [41984/48750]	Loss: 0.0239	LR: 0.020000
Training Epoch: 8 [42240/48750]	Loss: 0.0384	LR: 0.020000
Training Epoch: 8 [42496/48750]	Loss: 0.0335	LR: 0.020000
Training Epoch: 8 [42752/48750]	Loss: 0.0360	LR: 0.020000
Training Epoch: 8 [43008/48750]	Loss: 0.0815	LR: 0.020000
Training Epoch: 8 [43264/48750]	Loss: 0.0222	LR: 0.020000
Training Epoch: 8 [43520/48750]	Loss: 0.0415	LR: 0.020000
Training Epoch: 8 [43776/48750]	Loss: 0.0491	LR: 0.020000
Training Epoch: 8 [44032/48750]	Loss: 0.0217	LR: 0.020000
Training Epoch: 8 [44288/48750]	Loss: 0.0260	LR: 0.020000
Training Epoch: 8 [44544/48750]	Loss: 0.0549	LR: 0.020000
Training Epoch: 8 [44800/48750]	Loss: 0.0431	LR: 0.020000
Training Epoch: 8 [45056/48750]	Loss: 0.0515	LR: 0.020000
Training Epoch: 8 [45312/48750]	Loss: 0.0209	LR: 0.020000
Training Epoch: 8 [45568/48750]	Loss: 0.0296	LR: 0.020000
Training Epoch: 8 [45824/48750]	Loss: 0.0522	LR: 0.020000
Training Epoch: 8 [46080/48750]	Loss: 0.0365	LR: 0.020000
Training Epoch: 8 [46336/48750]	Loss: 0.0366	LR: 0.020000
Training Epoch: 8 [46592/48750]	Loss: 0.0362	LR: 0.020000
Training Epoch: 8 [46848/48750]	Loss: 0.0608	LR: 0.020000
Training Epoch: 8 [47104/48750]	Loss: 0.0433	LR: 0.020000
Training Epoch: 8 [47360/48750]	Loss: 0.0300	LR: 0.020000
Training Epoch: 8 [47616/48750]	Loss: 0.0338	LR: 0.020000
Training Epoch: 8 [47872/48750]	Loss: 0.0249	LR: 0.020000
Training Epoch: 8 [48128/48750]	Loss: 0.0196	LR: 0.020000
Training Epoch: 8 [48384/48750]	Loss: 0.0146	LR: 0.020000
Training Epoch: 8 [48640/48750]	Loss: 0.0686	LR: 0.020000
Training Epoch: 8 [48750/48750]	Loss: 0.0035	LR: 0.020000
Epoch 8 - Average Train Loss: 0.0407, Train Accuracy: 0.9863
Epoch 8 training time consumed: 351.52s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0004, Accuracy: 0.9673, Time consumed:23.45s
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: 96.806640625
Retain Accuracy: 98.78250122070312
Zero-Retain Forget (ZRF): 0.7755910158157349
Membership Inference Attack (MIA): 0.8016
Forget vs Retain Membership Inference Attack (MIA): 0.502
Forget vs Test Membership Inference Attack (MIA): 0.522
Test vs Retain Membership Inference Attack (MIA): 0.5055
Train vs Test Membership Inference Attack (MIA): 0.51225
Forget Set Accuracy (Df): 95.78678131103516
Method Execution Time: 5406.79 seconds
