
📌 S Retain class distribution for seed 2:
Class 0: 450
Class 1: 450
Class 2: 450
Class 3: 450
Class 4: 450
Class 5: 450
Class 6: 450
Class 7: 450
Class 8: 450
Class 9: 450
Class 10: 450
Class 11: 450
Class 12: 450
Class 13: 450
Class 14: 450
Class 15: 450
Class 16: 450
Class 17: 450
Class 18: 450
Class 19: 450
Class 20: 450
Class 21: 450
Class 22: 450
Class 23: 450
Class 24: 450
Class 25: 450
Class 26: 450
Class 27: 450
Class 28: 450
Class 29: 450
Class 30: 450
Class 31: 450
Class 32: 450
Class 33: 450
Class 34: 450
Class 35: 450
Class 36: 450
Class 37: 450
Class 38: 450
Class 39: 450
Class 40: 450
Class 41: 450
Class 42: 450
Class 43: 450
Class 44: 450
Class 45: 450
Class 46: 450
Class 47: 450
Class 48: 450
Class 49: 450
Class 50: 450
Class 51: 450
Class 52: 450
Class 53: 450
Class 54: 450
Class 55: 450
Class 56: 450
Class 57: 450
Class 58: 450
Class 59: 450
Class 60: 450
Class 61: 450
Class 62: 450
Class 63: 450
Class 64: 450
Class 65: 450
Class 66: 450
Class 67: 450
Class 68: 450
Class 69: 450
Class 70: 450
Class 71: 450
Class 72: 450
Class 73: 450
Class 74: 450
Class 75: 450
Class 76: 450
Class 77: 450
Class 78: 450
Class 79: 450
Class 80: 450
Class 81: 450
Class 82: 450
Class 83: 450
Class 84: 450
Class 85: 450
Class 86: 450
Class 87: 450
Class 88: 450
Class 89: 450
Class 90: 450
Class 91: 450
Class 92: 450
Class 93: 450
Class 94: 450
Class 95: 450
Class 96: 450
Class 97: 450
Class 98: 450
Class 99: 450

📌 S Forget class distribution for seed 2:
Class 0: 50
Class 1: 50
Class 2: 50
Class 3: 50
Class 4: 50
Class 5: 50
Class 6: 50
Class 7: 50
Class 8: 50
Class 9: 50
Class 10: 50
Class 11: 50
Class 12: 50
Class 13: 50
Class 14: 50
Class 15: 50
Class 16: 50
Class 17: 50
Class 18: 50
Class 19: 50
Class 20: 50
Class 21: 50
Class 22: 50
Class 23: 50
Class 24: 50
Class 25: 50
Class 26: 50
Class 27: 50
Class 28: 50
Class 29: 50
Class 30: 50
Class 31: 50
Class 32: 50
Class 33: 50
Class 34: 50
Class 35: 50
Class 36: 50
Class 37: 50
Class 38: 50
Class 39: 50
Class 40: 50
Class 41: 50
Class 42: 50
Class 43: 50
Class 44: 50
Class 45: 50
Class 46: 50
Class 47: 50
Class 48: 50
Class 49: 50
Class 50: 50
Class 51: 50
Class 52: 50
Class 53: 50
Class 54: 50
Class 55: 50
Class 56: 50
Class 57: 50
Class 58: 50
Class 59: 50
Class 60: 50
Class 61: 50
Class 62: 50
Class 63: 50
Class 64: 50
Class 65: 50
Class 66: 50
Class 67: 50
Class 68: 50
Class 69: 50
Class 70: 50
Class 71: 50
Class 72: 50
Class 73: 50
Class 74: 50
Class 75: 50
Class 76: 50
Class 77: 50
Class 78: 50
Class 79: 50
Class 80: 50
Class 81: 50
Class 82: 50
Class 83: 50
Class 84: 50
Class 85: 50
Class 86: 50
Class 87: 50
Class 88: 50
Class 89: 50
Class 90: 50
Class 91: 50
Class 92: 50
Class 93: 50
Class 94: 50
Class 95: 50
Class 96: 50
Class 97: 50
Class 98: 50
Class 99: 50

📊 Updated class distribution:
Retain set:
  Class 0: 487
  Class 1: 487
  Class 2: 487
  Class 3: 487
  Class 4: 487
  Class 5: 487
  Class 6: 487
  Class 7: 487
  Class 8: 487
  Class 9: 487
  Class 10: 487
  Class 11: 487
  Class 12: 487
  Class 13: 487
  Class 14: 487
  Class 15: 487
  Class 16: 487
  Class 17: 487
  Class 18: 487
  Class 19: 487
  Class 20: 487
  Class 21: 487
  Class 22: 487
  Class 23: 487
  Class 24: 487
  Class 25: 487
  Class 26: 487
  Class 27: 487
  Class 28: 487
  Class 29: 487
  Class 30: 487
  Class 31: 487
  Class 32: 487
  Class 33: 487
  Class 34: 487
  Class 35: 487
  Class 36: 487
  Class 37: 487
  Class 38: 487
  Class 39: 487
  Class 40: 487
  Class 41: 487
  Class 42: 487
  Class 43: 487
  Class 44: 487
  Class 45: 487
  Class 46: 487
  Class 47: 487
  Class 48: 487
  Class 49: 487
  Class 50: 487
  Class 51: 487
  Class 52: 487
  Class 53: 487
  Class 54: 487
  Class 55: 487
  Class 56: 487
  Class 57: 487
  Class 58: 487
  Class 59: 487
  Class 60: 487
  Class 61: 487
  Class 62: 487
  Class 63: 487
  Class 64: 487
  Class 65: 487
  Class 66: 487
  Class 67: 487
  Class 68: 487
  Class 69: 487
  Class 70: 487
  Class 71: 487
  Class 72: 487
  Class 73: 487
  Class 74: 487
  Class 75: 487
  Class 76: 487
  Class 77: 487
  Class 78: 487
  Class 79: 487
  Class 80: 487
  Class 81: 487
  Class 82: 487
  Class 83: 487
  Class 84: 487
  Class 85: 487
  Class 86: 487
  Class 87: 487
  Class 88: 487
  Class 89: 487
  Class 90: 487
  Class 91: 487
  Class 92: 487
  Class 93: 487
  Class 94: 487
  Class 95: 487
  Class 96: 487
  Class 97: 487
  Class 98: 487
  Class 99: 487
Forget set:
  Class 0: 13
  Class 1: 13
  Class 2: 13
  Class 3: 13
  Class 4: 13
  Class 5: 13
  Class 6: 13
  Class 7: 13
  Class 8: 13
  Class 9: 13
  Class 10: 13
  Class 11: 13
  Class 12: 13
  Class 13: 13
  Class 14: 13
  Class 15: 13
  Class 16: 13
  Class 17: 13
  Class 18: 13
  Class 19: 13
  Class 20: 13
  Class 21: 13
  Class 22: 13
  Class 23: 13
  Class 24: 13
  Class 25: 13
  Class 26: 13
  Class 27: 13
  Class 28: 13
  Class 29: 13
  Class 30: 13
  Class 31: 13
  Class 32: 13
  Class 33: 13
  Class 34: 13
  Class 35: 13
  Class 36: 13
  Class 37: 13
  Class 38: 13
  Class 39: 13
  Class 40: 13
  Class 41: 13
  Class 42: 13
  Class 43: 13
  Class 44: 13
  Class 45: 13
  Class 46: 13
  Class 47: 13
  Class 48: 13
  Class 49: 13
  Class 50: 13
  Class 51: 13
  Class 52: 13
  Class 53: 13
  Class 54: 13
  Class 55: 13
  Class 56: 13
  Class 57: 13
  Class 58: 13
  Class 59: 13
  Class 60: 13
  Class 61: 13
  Class 62: 13
  Class 63: 13
  Class 64: 13
  Class 65: 13
  Class 66: 13
  Class 67: 13
  Class 68: 13
  Class 69: 13
  Class 70: 13
  Class 71: 13
  Class 72: 13
  Class 73: 13
  Class 74: 13
  Class 75: 13
  Class 76: 13
  Class 77: 13
  Class 78: 13
  Class 79: 13
  Class 80: 13
  Class 81: 13
  Class 82: 13
  Class 83: 13
  Class 84: 13
  Class 85: 13
  Class 86: 13
  Class 87: 13
  Class 88: 13
  Class 89: 13
  Class 90: 13
  Class 91: 13
  Class 92: 13
  Class 93: 13
  Class 94: 13
  Class 95: 13
  Class 96: 13
  Class 97: 13
  Class 98: 13
  Class 99: 13
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/48700]	Loss: 3.0393	LR: 0.000000
Training Epoch: 1 [512/48700]	Loss: 3.0331	LR: 0.000524
Training Epoch: 1 [768/48700]	Loss: 3.0472	LR: 0.001047
Training Epoch: 1 [1024/48700]	Loss: 3.0304	LR: 0.001571
Training Epoch: 1 [1280/48700]	Loss: 3.0130	LR: 0.002094
Training Epoch: 1 [1536/48700]	Loss: 3.0340	LR: 0.002618
Training Epoch: 1 [1792/48700]	Loss: 3.0277	LR: 0.003141
Training Epoch: 1 [2048/48700]	Loss: 3.0039	LR: 0.003665
Training Epoch: 1 [2304/48700]	Loss: 2.9790	LR: 0.004188
Training Epoch: 1 [2560/48700]	Loss: 2.9904	LR: 0.004712
Training Epoch: 1 [2816/48700]	Loss: 2.9304	LR: 0.005236
Training Epoch: 1 [3072/48700]	Loss: 2.9500	LR: 0.005759
Training Epoch: 1 [3328/48700]	Loss: 2.9469	LR: 0.006283
Training Epoch: 1 [3584/48700]	Loss: 2.9218	LR: 0.006806
Training Epoch: 1 [3840/48700]	Loss: 2.9268	LR: 0.007330
Training Epoch: 1 [4096/48700]	Loss: 2.8735	LR: 0.007853
Training Epoch: 1 [4352/48700]	Loss: 2.8571	LR: 0.008377
Training Epoch: 1 [4608/48700]	Loss: 2.8399	LR: 0.008901
Training Epoch: 1 [4864/48700]	Loss: 2.8200	LR: 0.009424
Training Epoch: 1 [5120/48700]	Loss: 2.7850	LR: 0.009948
Training Epoch: 1 [5376/48700]	Loss: 2.8116	LR: 0.010471
Training Epoch: 1 [5632/48700]	Loss: 2.8189	LR: 0.010995
Training Epoch: 1 [5888/48700]	Loss: 2.8045	LR: 0.011518
Training Epoch: 1 [6144/48700]	Loss: 2.7772	LR: 0.012042
Training Epoch: 1 [6400/48700]	Loss: 2.7702	LR: 0.012565
Training Epoch: 1 [6656/48700]	Loss: 2.7530	LR: 0.013089
Training Epoch: 1 [6912/48700]	Loss: 2.7323	LR: 0.013613
Training Epoch: 1 [7168/48700]	Loss: 2.7323	LR: 0.014136
Training Epoch: 1 [7424/48700]	Loss: 2.6512	LR: 0.014660
Training Epoch: 1 [7680/48700]	Loss: 2.6767	LR: 0.015183
Training Epoch: 1 [7936/48700]	Loss: 2.6820	LR: 0.015707
Training Epoch: 1 [8192/48700]	Loss: 2.7196	LR: 0.016230
Training Epoch: 1 [8448/48700]	Loss: 2.6439	LR: 0.016754
Training Epoch: 1 [8704/48700]	Loss: 2.6386	LR: 0.017277
Training Epoch: 1 [8960/48700]	Loss: 2.7464	LR: 0.017801
Training Epoch: 1 [9216/48700]	Loss: 2.6944	LR: 0.018325
Training Epoch: 1 [9472/48700]	Loss: 2.6021	LR: 0.018848
Training Epoch: 1 [9728/48700]	Loss: 2.6880	LR: 0.019372
Training Epoch: 1 [9984/48700]	Loss: 2.5761	LR: 0.019895
Training Epoch: 1 [10240/48700]	Loss: 2.5991	LR: 0.020419
Training Epoch: 1 [10496/48700]	Loss: 2.5687	LR: 0.020942
Training Epoch: 1 [10752/48700]	Loss: 2.6560	LR: 0.021466
Training Epoch: 1 [11008/48700]	Loss: 2.6376	LR: 0.021990
Training Epoch: 1 [11264/48700]	Loss: 2.5705	LR: 0.022513
Training Epoch: 1 [11520/48700]	Loss: 2.5886	LR: 0.023037
Training Epoch: 1 [11776/48700]	Loss: 2.5949	LR: 0.023560
Training Epoch: 1 [12032/48700]	Loss: 2.4630	LR: 0.024084
Training Epoch: 1 [12288/48700]	Loss: 2.5721	LR: 0.024607
Training Epoch: 1 [12544/48700]	Loss: 2.5181	LR: 0.025131
Training Epoch: 1 [12800/48700]	Loss: 2.5387	LR: 0.025654
Training Epoch: 1 [13056/48700]	Loss: 2.5431	LR: 0.026178
Training Epoch: 1 [13312/48700]	Loss: 2.5978	LR: 0.026702
Training Epoch: 1 [13568/48700]	Loss: 2.4769	LR: 0.027225
Training Epoch: 1 [13824/48700]	Loss: 2.5943	LR: 0.027749
Training Epoch: 1 [14080/48700]	Loss: 2.5301	LR: 0.028272
Training Epoch: 1 [14336/48700]	Loss: 2.5878	LR: 0.028796
Training Epoch: 1 [14592/48700]	Loss: 2.5539	LR: 0.029319
Training Epoch: 1 [14848/48700]	Loss: 2.4440	LR: 0.029843
Training Epoch: 1 [15104/48700]	Loss: 2.4212	LR: 0.030366
Training Epoch: 1 [15360/48700]	Loss: 2.4954	LR: 0.030890
Training Epoch: 1 [15616/48700]	Loss: 2.4477	LR: 0.031414
Training Epoch: 1 [15872/48700]	Loss: 2.4884	LR: 0.031937
Training Epoch: 1 [16128/48700]	Loss: 2.4611	LR: 0.032461
Training Epoch: 1 [16384/48700]	Loss: 2.3936	LR: 0.032984
Training Epoch: 1 [16640/48700]	Loss: 2.4709	LR: 0.033508
Training Epoch: 1 [16896/48700]	Loss: 2.4286	LR: 0.034031
Training Epoch: 1 [17152/48700]	Loss: 2.4512	LR: 0.034555
Training Epoch: 1 [17408/48700]	Loss: 2.4392	LR: 0.035079
Training Epoch: 1 [17664/48700]	Loss: 2.5596	LR: 0.035602
Training Epoch: 1 [17920/48700]	Loss: 2.4994	LR: 0.036126
Training Epoch: 1 [18176/48700]	Loss: 2.4480	LR: 0.036649
Training Epoch: 1 [18432/48700]	Loss: 2.4484	LR: 0.037173
Training Epoch: 1 [18688/48700]	Loss: 2.4009	LR: 0.037696
Training Epoch: 1 [18944/48700]	Loss: 2.5126	LR: 0.038220
Training Epoch: 1 [19200/48700]	Loss: 2.5227	LR: 0.038743
Training Epoch: 1 [19456/48700]	Loss: 2.4591	LR: 0.039267
Training Epoch: 1 [19712/48700]	Loss: 2.4946	LR: 0.039791
Training Epoch: 1 [19968/48700]	Loss: 2.5415	LR: 0.040314
Training Epoch: 1 [20224/48700]	Loss: 2.4801	LR: 0.040838
Training Epoch: 1 [20480/48700]	Loss: 2.3970	LR: 0.041361
Training Epoch: 1 [20736/48700]	Loss: 2.4577	LR: 0.041885
Training Epoch: 1 [20992/48700]	Loss: 2.6097	LR: 0.042408
Training Epoch: 1 [21248/48700]	Loss: 2.4664	LR: 0.042932
Training Epoch: 1 [21504/48700]	Loss: 2.3466	LR: 0.043455
Training Epoch: 1 [21760/48700]	Loss: 2.4972	LR: 0.043979
Training Epoch: 1 [22016/48700]	Loss: 2.5263	LR: 0.044503
Training Epoch: 1 [22272/48700]	Loss: 2.3858	LR: 0.045026
Training Epoch: 1 [22528/48700]	Loss: 2.4428	LR: 0.045550
Training Epoch: 1 [22784/48700]	Loss: 2.5738	LR: 0.046073
Training Epoch: 1 [23040/48700]	Loss: 2.4849	LR: 0.046597
Training Epoch: 1 [23296/48700]	Loss: 2.4815	LR: 0.047120
Training Epoch: 1 [23552/48700]	Loss: 2.4011	LR: 0.047644
Training Epoch: 1 [23808/48700]	Loss: 2.3897	LR: 0.048168
Training Epoch: 1 [24064/48700]	Loss: 2.4555	LR: 0.048691
Training Epoch: 1 [24320/48700]	Loss: 2.4547	LR: 0.049215
Training Epoch: 1 [24576/48700]	Loss: 2.5144	LR: 0.049738
Training Epoch: 1 [24832/48700]	Loss: 2.5043	LR: 0.050262
Training Epoch: 1 [25088/48700]	Loss: 2.3257	LR: 0.050785
Training Epoch: 1 [25344/48700]	Loss: 2.3981	LR: 0.051309
Training Epoch: 1 [25600/48700]	Loss: 2.3295	LR: 0.051832
Training Epoch: 1 [25856/48700]	Loss: 2.4021	LR: 0.052356
Training Epoch: 1 [26112/48700]	Loss: 2.5206	LR: 0.052880
Training Epoch: 1 [26368/48700]	Loss: 2.4599	LR: 0.053403
Training Epoch: 1 [26624/48700]	Loss: 2.3811	LR: 0.053927
Training Epoch: 1 [26880/48700]	Loss: 2.4995	LR: 0.054450
Training Epoch: 1 [27136/48700]	Loss: 2.4254	LR: 0.054974
Training Epoch: 1 [27392/48700]	Loss: 2.3098	LR: 0.055497
Training Epoch: 1 [27648/48700]	Loss: 2.2831	LR: 0.056021
Training Epoch: 1 [27904/48700]	Loss: 2.5008	LR: 0.056545
Training Epoch: 1 [28160/48700]	Loss: 2.5248	LR: 0.057068
Training Epoch: 1 [28416/48700]	Loss: 2.3973	LR: 0.057592
Training Epoch: 1 [28672/48700]	Loss: 2.4711	LR: 0.058115
Training Epoch: 1 [28928/48700]	Loss: 2.5628	LR: 0.058639
Training Epoch: 1 [29184/48700]	Loss: 2.5185	LR: 0.059162
Training Epoch: 1 [29440/48700]	Loss: 2.4317	LR: 0.059686
Training Epoch: 1 [29696/48700]	Loss: 2.5497	LR: 0.060209
Training Epoch: 1 [29952/48700]	Loss: 2.3973	LR: 0.060733
Training Epoch: 1 [30208/48700]	Loss: 2.4173	LR: 0.061257
Training Epoch: 1 [30464/48700]	Loss: 2.5469	LR: 0.061780
Training Epoch: 1 [30720/48700]	Loss: 2.3649	LR: 0.062304
Training Epoch: 1 [30976/48700]	Loss: 2.5410	LR: 0.062827
Training Epoch: 1 [31232/48700]	Loss: 2.4527	LR: 0.063351
Training Epoch: 1 [31488/48700]	Loss: 2.4391	LR: 0.063874
Training Epoch: 1 [31744/48700]	Loss: 2.3404	LR: 0.064398
Training Epoch: 1 [32000/48700]	Loss: 2.4906	LR: 0.064921
Training Epoch: 1 [32256/48700]	Loss: 2.3655	LR: 0.065445
Training Epoch: 1 [32512/48700]	Loss: 2.3662	LR: 0.065969
Training Epoch: 1 [32768/48700]	Loss: 2.4577	LR: 0.066492
Training Epoch: 1 [33024/48700]	Loss: 2.4279	LR: 0.067016
Training Epoch: 1 [33280/48700]	Loss: 2.3950	LR: 0.067539
Training Epoch: 1 [33536/48700]	Loss: 2.3872	LR: 0.068063
Training Epoch: 1 [33792/48700]	Loss: 2.3922	LR: 0.068586
Training Epoch: 1 [34048/48700]	Loss: 2.4149	LR: 0.069110
Training Epoch: 1 [34304/48700]	Loss: 2.3991	LR: 0.069634
Training Epoch: 1 [34560/48700]	Loss: 2.3839	LR: 0.070157
Training Epoch: 1 [34816/48700]	Loss: 2.4930	LR: 0.070681
Training Epoch: 1 [35072/48700]	Loss: 2.3902	LR: 0.071204
Training Epoch: 1 [35328/48700]	Loss: 2.2927	LR: 0.071728
Training Epoch: 1 [35584/48700]	Loss: 2.3692	LR: 0.072251
Training Epoch: 1 [35840/48700]	Loss: 2.4540	LR: 0.072775
Training Epoch: 1 [36096/48700]	Loss: 2.3154	LR: 0.073298
Training Epoch: 1 [36352/48700]	Loss: 2.4156	LR: 0.073822
Training Epoch: 1 [36608/48700]	Loss: 2.4781	LR: 0.074346
Training Epoch: 1 [36864/48700]	Loss: 2.3178	LR: 0.074869
Training Epoch: 1 [37120/48700]	Loss: 2.3471	LR: 0.075393
Training Epoch: 1 [37376/48700]	Loss: 2.4917	LR: 0.075916
Training Epoch: 1 [37632/48700]	Loss: 2.3423	LR: 0.076440
Training Epoch: 1 [37888/48700]	Loss: 2.3593	LR: 0.076963
Training Epoch: 1 [38144/48700]	Loss: 2.2949	LR: 0.077487
Training Epoch: 1 [38400/48700]	Loss: 2.2750	LR: 0.078010
Training Epoch: 1 [38656/48700]	Loss: 2.2973	LR: 0.078534
Training Epoch: 1 [38912/48700]	Loss: 2.4599	LR: 0.079058
Training Epoch: 1 [39168/48700]	Loss: 2.2272	LR: 0.079581
Training Epoch: 1 [39424/48700]	Loss: 2.3463	LR: 0.080105
Training Epoch: 1 [39680/48700]	Loss: 2.5110	LR: 0.080628
Training Epoch: 1 [39936/48700]	Loss: 2.3100	LR: 0.081152
Training Epoch: 1 [40192/48700]	Loss: 2.3463	LR: 0.081675
Training Epoch: 1 [40448/48700]	Loss: 2.2732	LR: 0.082199
Training Epoch: 1 [40704/48700]	Loss: 2.2844	LR: 0.082723
Training Epoch: 1 [40960/48700]	Loss: 2.3375	LR: 0.083246
Training Epoch: 1 [41216/48700]	Loss: 2.3565	LR: 0.083770
Training Epoch: 1 [41472/48700]	Loss: 2.3839	LR: 0.084293
Training Epoch: 1 [41728/48700]	Loss: 2.3206	LR: 0.084817
Training Epoch: 1 [41984/48700]	Loss: 2.3228	LR: 0.085340
Training Epoch: 1 [42240/48700]	Loss: 2.3703	LR: 0.085864
Training Epoch: 1 [42496/48700]	Loss: 2.4259	LR: 0.086387
Training Epoch: 1 [42752/48700]	Loss: 2.2496	LR: 0.086911
Training Epoch: 1 [43008/48700]	Loss: 2.3059	LR: 0.087435
Training Epoch: 1 [43264/48700]	Loss: 2.4801	LR: 0.087958
Training Epoch: 1 [43520/48700]	Loss: 2.3583	LR: 0.088482
Training Epoch: 1 [43776/48700]	Loss: 2.3281	LR: 0.089005
Training Epoch: 1 [44032/48700]	Loss: 2.2034	LR: 0.089529
Training Epoch: 1 [44288/48700]	Loss: 2.2955	LR: 0.090052
Training Epoch: 1 [44544/48700]	Loss: 2.2813	LR: 0.090576
Training Epoch: 1 [44800/48700]	Loss: 2.2223	LR: 0.091099
Training Epoch: 1 [45056/48700]	Loss: 2.2751	LR: 0.091623
Training Epoch: 1 [45312/48700]	Loss: 2.2385	LR: 0.092147
Training Epoch: 1 [45568/48700]	Loss: 2.2697	LR: 0.092670
Training Epoch: 1 [45824/48700]	Loss: 2.2422	LR: 0.093194
Training Epoch: 1 [46080/48700]	Loss: 2.2453	LR: 0.093717
Training Epoch: 1 [46336/48700]	Loss: 2.2482	LR: 0.094241
Training Epoch: 1 [46592/48700]	Loss: 2.2558	LR: 0.094764
Training Epoch: 1 [46848/48700]	Loss: 2.2902	LR: 0.095288
Training Epoch: 1 [47104/48700]	Loss: 2.3662	LR: 0.095812
Training Epoch: 1 [47360/48700]	Loss: 2.2805	LR: 0.096335
Training Epoch: 1 [47616/48700]	Loss: 2.2698	LR: 0.096859
Training Epoch: 1 [47872/48700]	Loss: 2.2801	LR: 0.097382
Training Epoch: 1 [48128/48700]	Loss: 2.3688	LR: 0.097906
Training Epoch: 1 [48384/48700]	Loss: 2.2963	LR: 0.098429
Training Epoch: 1 [48640/48700]	Loss: 2.3350	LR: 0.098953
Training Epoch: 1 [48700/48700]	Loss: 2.4021	LR: 0.099476
Epoch 1 - Average Train Loss: 2.5047, Train Accuracy: 0.2256
Epoch 1 training time consumed: 27.28s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0156, Accuracy: 0.1864, Time consumed:1.05s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-1-best.pth
Training Epoch: 2 [256/48700]	Loss: 2.5668	LR: 0.100000
Training Epoch: 2 [512/48700]	Loss: 2.2838	LR: 0.100000
Training Epoch: 2 [768/48700]	Loss: 2.3537	LR: 0.100000
Training Epoch: 2 [1024/48700]	Loss: 2.4113	LR: 0.100000
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Training Epoch: 2 [42496/48700]	Loss: 2.0574	LR: 0.100000
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Training Epoch: 2 [48700/48700]	Loss: 2.0137	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1492, Train Accuracy: 0.3307
Epoch 2 training time consumed: 26.61s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0090, Accuracy: 0.3202, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-2-best.pth
Training Epoch: 3 [256/48700]	Loss: 1.9350	LR: 0.100000
Training Epoch: 3 [512/48700]	Loss: 1.9963	LR: 0.100000
Training Epoch: 3 [768/48700]	Loss: 1.9427	LR: 0.100000
Training Epoch: 3 [1024/48700]	Loss: 1.9741	LR: 0.100000
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Training Epoch: 3 [47872/48700]	Loss: 1.8309	LR: 0.100000
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Training Epoch: 3 [48640/48700]	Loss: 1.9705	LR: 0.100000
Training Epoch: 3 [48700/48700]	Loss: 1.7776	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9137, Train Accuracy: 0.4010
Epoch 3 training time consumed: 26.58s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0082, Accuracy: 0.3630, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-3-best.pth
Training Epoch: 4 [256/48700]	Loss: 1.7891	LR: 0.100000
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Training Epoch: 4 [48700/48700]	Loss: 1.8327	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7265, Train Accuracy: 0.4560
Epoch 4 training time consumed: 26.59s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0078, Accuracy: 0.4107, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-4-best.pth
Training Epoch: 5 [256/48700]	Loss: 1.7004	LR: 0.100000
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Training Epoch: 5 [48700/48700]	Loss: 1.5103	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5682, Train Accuracy: 0.5039
Epoch 5 training time consumed: 26.72s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0080, Accuracy: 0.4353, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-5-best.pth
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Training Epoch: 6 [48700/48700]	Loss: 1.4903	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4599, Train Accuracy: 0.5357
Epoch 6 training time consumed: 26.77s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0061, Accuracy: 0.5286, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-6-best.pth
Training Epoch: 7 [256/48700]	Loss: 1.2845	LR: 0.100000
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Training Epoch: 7 [48700/48700]	Loss: 1.6709	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3429, Train Accuracy: 0.5709
Epoch 7 training time consumed: 26.58s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0061, Accuracy: 0.5371, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-7-best.pth
Training Epoch: 8 [256/48700]	Loss: 1.4384	LR: 0.100000
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Training Epoch: 8 [48700/48700]	Loss: 1.7810	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2690, Train Accuracy: 0.5916
Epoch 8 training time consumed: 26.67s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0060, Accuracy: 0.5516, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-8-best.pth
Training Epoch: 9 [256/48700]	Loss: 1.1242	LR: 0.100000
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Training Epoch: 9 [48700/48700]	Loss: 1.1892	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1972, Train Accuracy: 0.6174
Epoch 9 training time consumed: 26.72s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0055, Accuracy: 0.5784, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-9-best.pth
Training Epoch: 10 [256/48700]	Loss: 1.2052	LR: 0.100000
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Training Epoch: 10 [48700/48700]	Loss: 1.0575	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1434, Train Accuracy: 0.6347
Epoch 10 training time consumed: 26.67s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0053, Accuracy: 0.5941, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-10-best.pth
Training Epoch: 11 [256/48700]	Loss: 1.0020	LR: 0.100000
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Training Epoch: 11 [48700/48700]	Loss: 0.9978	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1055, Train Accuracy: 0.6465
Epoch 11 training time consumed: 26.71s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0051, Accuracy: 0.5945, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-11-best.pth
Training Epoch: 12 [256/48700]	Loss: 1.2168	LR: 0.100000
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Training Epoch: 12 [48700/48700]	Loss: 1.1625	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0518, Train Accuracy: 0.6628
Epoch 12 training time consumed: 26.72s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0050, Accuracy: 0.6072, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-12-best.pth
Training Epoch: 13 [256/48700]	Loss: 1.0659	LR: 0.100000
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Training Epoch: 13 [48700/48700]	Loss: 1.0366	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0307, Train Accuracy: 0.6708
Epoch 13 training time consumed: 26.87s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0047, Accuracy: 0.6273, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-13-best.pth
Training Epoch: 14 [256/48700]	Loss: 0.9985	LR: 0.100000
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Training Epoch: 14 [15360/48700]	Loss: 0.9429	LR: 0.100000
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Training Epoch: 14 [15872/48700]	Loss: 1.0756	LR: 0.100000
Training Epoch: 14 [16128/48700]	Loss: 0.8866	LR: 0.100000
Training Epoch: 14 [16384/48700]	Loss: 1.1245	LR: 0.100000
Training Epoch: 14 [16640/48700]	Loss: 1.0671	LR: 0.100000
Training Epoch: 14 [16896/48700]	Loss: 0.9868	LR: 0.100000
Training Epoch: 14 [17152/48700]	Loss: 1.0552	LR: 0.100000
Training Epoch: 14 [17408/48700]	Loss: 1.1117	LR: 0.100000
Training Epoch: 14 [17664/48700]	Loss: 0.9247	LR: 0.100000
Training Epoch: 14 [17920/48700]	Loss: 1.0027	LR: 0.100000
Training Epoch: 14 [18176/48700]	Loss: 1.0364	LR: 0.100000
Training Epoch: 14 [18432/48700]	Loss: 0.9865	LR: 0.100000
Training Epoch: 14 [18688/48700]	Loss: 1.0932	LR: 0.100000
Training Epoch: 14 [18944/48700]	Loss: 1.0405	LR: 0.100000
Training Epoch: 14 [19200/48700]	Loss: 1.0040	LR: 0.100000
Training Epoch: 14 [19456/48700]	Loss: 0.9720	LR: 0.100000
Training Epoch: 14 [19712/48700]	Loss: 1.0826	LR: 0.100000
Training Epoch: 14 [19968/48700]	Loss: 0.9913	LR: 0.100000
Training Epoch: 14 [20224/48700]	Loss: 0.9997	LR: 0.100000
Training Epoch: 14 [20480/48700]	Loss: 0.9145	LR: 0.100000
Training Epoch: 14 [20736/48700]	Loss: 1.0288	LR: 0.100000
Training Epoch: 14 [20992/48700]	Loss: 1.0063	LR: 0.100000
Training Epoch: 14 [21248/48700]	Loss: 1.0313	LR: 0.100000
Training Epoch: 14 [21504/48700]	Loss: 0.9650	LR: 0.100000
Training Epoch: 14 [21760/48700]	Loss: 0.9207	LR: 0.100000
Training Epoch: 14 [22016/48700]	Loss: 0.9003	LR: 0.100000
Training Epoch: 14 [22272/48700]	Loss: 1.0454	LR: 0.100000
Training Epoch: 14 [22528/48700]	Loss: 0.8964	LR: 0.100000
Training Epoch: 14 [22784/48700]	Loss: 1.0167	LR: 0.100000
Training Epoch: 14 [23040/48700]	Loss: 1.0375	LR: 0.100000
Training Epoch: 14 [23296/48700]	Loss: 0.9782	LR: 0.100000
Training Epoch: 14 [23552/48700]	Loss: 0.8846	LR: 0.100000
Training Epoch: 14 [23808/48700]	Loss: 1.0073	LR: 0.100000
Training Epoch: 14 [24064/48700]	Loss: 0.9675	LR: 0.100000
Training Epoch: 14 [24320/48700]	Loss: 1.0675	LR: 0.100000
Training Epoch: 14 [24576/48700]	Loss: 1.0495	LR: 0.100000
Training Epoch: 14 [24832/48700]	Loss: 1.0447	LR: 0.100000
Training Epoch: 14 [25088/48700]	Loss: 0.9242	LR: 0.100000
Training Epoch: 14 [25344/48700]	Loss: 1.1297	LR: 0.100000
Training Epoch: 14 [25600/48700]	Loss: 1.0849	LR: 0.100000
Training Epoch: 14 [25856/48700]	Loss: 0.9663	LR: 0.100000
Training Epoch: 14 [26112/48700]	Loss: 0.8829	LR: 0.100000
Training Epoch: 14 [26368/48700]	Loss: 1.1103	LR: 0.100000
Training Epoch: 14 [26624/48700]	Loss: 0.7859	LR: 0.100000
Training Epoch: 14 [26880/48700]	Loss: 0.9567	LR: 0.100000
Training Epoch: 14 [27136/48700]	Loss: 1.0028	LR: 0.100000
Training Epoch: 14 [27392/48700]	Loss: 1.0054	LR: 0.100000
Training Epoch: 14 [27648/48700]	Loss: 1.0438	LR: 0.100000
Training Epoch: 14 [27904/48700]	Loss: 0.9611	LR: 0.100000
Training Epoch: 14 [28160/48700]	Loss: 0.9297	LR: 0.100000
Training Epoch: 14 [28416/48700]	Loss: 0.9828	LR: 0.100000
Training Epoch: 14 [28672/48700]	Loss: 0.9536	LR: 0.100000
Training Epoch: 14 [28928/48700]	Loss: 1.0621	LR: 0.100000
Training Epoch: 14 [29184/48700]	Loss: 1.0249	LR: 0.100000
Training Epoch: 14 [29440/48700]	Loss: 1.0703	LR: 0.100000
Training Epoch: 14 [29696/48700]	Loss: 0.8887	LR: 0.100000
Training Epoch: 14 [29952/48700]	Loss: 1.0922	LR: 0.100000
Training Epoch: 14 [30208/48700]	Loss: 1.0387	LR: 0.100000
Training Epoch: 14 [30464/48700]	Loss: 0.8989	LR: 0.100000
Training Epoch: 14 [30720/48700]	Loss: 0.9996	LR: 0.100000
Training Epoch: 14 [30976/48700]	Loss: 1.1301	LR: 0.100000
Training Epoch: 14 [31232/48700]	Loss: 1.0402	LR: 0.100000
Training Epoch: 14 [31488/48700]	Loss: 0.9567	LR: 0.100000
Training Epoch: 14 [31744/48700]	Loss: 0.9244	LR: 0.100000
Training Epoch: 14 [32000/48700]	Loss: 0.9795	LR: 0.100000
Training Epoch: 14 [32256/48700]	Loss: 1.1021	LR: 0.100000
Training Epoch: 14 [32512/48700]	Loss: 0.9314	LR: 0.100000
Training Epoch: 14 [32768/48700]	Loss: 1.0489	LR: 0.100000
Training Epoch: 14 [33024/48700]	Loss: 1.0621	LR: 0.100000
Training Epoch: 14 [33280/48700]	Loss: 0.9472	LR: 0.100000
Training Epoch: 14 [33536/48700]	Loss: 1.0688	LR: 0.100000
Training Epoch: 14 [33792/48700]	Loss: 1.0107	LR: 0.100000
Training Epoch: 14 [34048/48700]	Loss: 0.9222	LR: 0.100000
Training Epoch: 14 [34304/48700]	Loss: 0.9078	LR: 0.100000
Training Epoch: 14 [34560/48700]	Loss: 1.0664	LR: 0.100000
Training Epoch: 14 [34816/48700]	Loss: 0.9550	LR: 0.100000
Training Epoch: 14 [35072/48700]	Loss: 1.1410	LR: 0.100000
Training Epoch: 14 [35328/48700]	Loss: 0.9880	LR: 0.100000
Training Epoch: 14 [35584/48700]	Loss: 0.9918	LR: 0.100000
Training Epoch: 14 [35840/48700]	Loss: 1.1251	LR: 0.100000
Training Epoch: 14 [36096/48700]	Loss: 1.1577	LR: 0.100000
Training Epoch: 14 [36352/48700]	Loss: 1.0378	LR: 0.100000
Training Epoch: 14 [36608/48700]	Loss: 1.0265	LR: 0.100000
Training Epoch: 14 [36864/48700]	Loss: 1.1518	LR: 0.100000
Training Epoch: 14 [37120/48700]	Loss: 1.0516	LR: 0.100000
Training Epoch: 14 [37376/48700]	Loss: 0.9415	LR: 0.100000
Training Epoch: 14 [37632/48700]	Loss: 0.9896	LR: 0.100000
Training Epoch: 14 [37888/48700]	Loss: 0.8969	LR: 0.100000
Training Epoch: 14 [38144/48700]	Loss: 1.0261	LR: 0.100000
Training Epoch: 14 [38400/48700]	Loss: 1.0940	LR: 0.100000
Training Epoch: 14 [38656/48700]	Loss: 1.0124	LR: 0.100000
Training Epoch: 14 [38912/48700]	Loss: 1.1065	LR: 0.100000
Training Epoch: 14 [39168/48700]	Loss: 1.0310	LR: 0.100000
Training Epoch: 14 [39424/48700]	Loss: 0.9572	LR: 0.100000
Training Epoch: 14 [39680/48700]	Loss: 1.0717	LR: 0.100000
Training Epoch: 14 [39936/48700]	Loss: 1.1125	LR: 0.100000
Training Epoch: 14 [40192/48700]	Loss: 1.0094	LR: 0.100000
Training Epoch: 14 [40448/48700]	Loss: 0.9598	LR: 0.100000
Training Epoch: 14 [40704/48700]	Loss: 1.0141	LR: 0.100000
Training Epoch: 14 [40960/48700]	Loss: 0.9471	LR: 0.100000
Training Epoch: 14 [41216/48700]	Loss: 1.0811	LR: 0.100000
Training Epoch: 14 [41472/48700]	Loss: 1.0407	LR: 0.100000
Training Epoch: 14 [41728/48700]	Loss: 1.0883	LR: 0.100000
Training Epoch: 14 [41984/48700]	Loss: 1.0640	LR: 0.100000
Training Epoch: 14 [42240/48700]	Loss: 1.0592	LR: 0.100000
Training Epoch: 14 [42496/48700]	Loss: 0.9706	LR: 0.100000
Training Epoch: 14 [42752/48700]	Loss: 0.9559	LR: 0.100000
Training Epoch: 14 [43008/48700]	Loss: 1.0546	LR: 0.100000
Training Epoch: 14 [43264/48700]	Loss: 1.0589	LR: 0.100000
Training Epoch: 14 [43520/48700]	Loss: 1.0028	LR: 0.100000
Training Epoch: 14 [43776/48700]	Loss: 1.1430	LR: 0.100000
Training Epoch: 14 [44032/48700]	Loss: 0.8650	LR: 0.100000
Training Epoch: 14 [44288/48700]	Loss: 1.0987	LR: 0.100000
Training Epoch: 14 [44544/48700]	Loss: 0.9733	LR: 0.100000
Training Epoch: 14 [44800/48700]	Loss: 1.0122	LR: 0.100000
Training Epoch: 14 [45056/48700]	Loss: 0.8913	LR: 0.100000
Training Epoch: 14 [45312/48700]	Loss: 0.9441	LR: 0.100000
Training Epoch: 14 [45568/48700]	Loss: 0.8093	LR: 0.100000
Training Epoch: 14 [45824/48700]	Loss: 1.0329	LR: 0.100000
Training Epoch: 14 [46080/48700]	Loss: 0.9315	LR: 0.100000
Training Epoch: 14 [46336/48700]	Loss: 1.1524	LR: 0.100000
Training Epoch: 14 [46592/48700]	Loss: 0.9023	LR: 0.100000
Training Epoch: 14 [46848/48700]	Loss: 0.9366	LR: 0.100000
Training Epoch: 14 [47104/48700]	Loss: 1.0177	LR: 0.100000
Training Epoch: 14 [47360/48700]	Loss: 0.9771	LR: 0.100000
Training Epoch: 14 [47616/48700]	Loss: 1.0180	LR: 0.100000
Training Epoch: 14 [47872/48700]	Loss: 1.0136	LR: 0.100000
Training Epoch: 14 [48128/48700]	Loss: 1.0482	LR: 0.100000
Training Epoch: 14 [48384/48700]	Loss: 1.0612	LR: 0.100000
Training Epoch: 14 [48640/48700]	Loss: 0.9910	LR: 0.100000
Training Epoch: 14 [48700/48700]	Loss: 1.2193	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0030, Train Accuracy: 0.6792
Epoch 14 training time consumed: 26.77s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0052, Accuracy: 0.6101, Time consumed:0.86s
Training Epoch: 15 [256/48700]	Loss: 1.0069	LR: 0.020000
Training Epoch: 15 [512/48700]	Loss: 0.9934	LR: 0.020000
Training Epoch: 15 [768/48700]	Loss: 1.0816	LR: 0.020000
Training Epoch: 15 [1024/48700]	Loss: 0.8512	LR: 0.020000
Training Epoch: 15 [1280/48700]	Loss: 0.9289	LR: 0.020000
Training Epoch: 15 [1536/48700]	Loss: 0.7762	LR: 0.020000
Training Epoch: 15 [1792/48700]	Loss: 0.9264	LR: 0.020000
Training Epoch: 15 [2048/48700]	Loss: 0.9629	LR: 0.020000
Training Epoch: 15 [2304/48700]	Loss: 0.8355	LR: 0.020000
Training Epoch: 15 [2560/48700]	Loss: 0.7724	LR: 0.020000
Training Epoch: 15 [2816/48700]	Loss: 0.8624	LR: 0.020000
Training Epoch: 15 [3072/48700]	Loss: 0.9289	LR: 0.020000
Training Epoch: 15 [3328/48700]	Loss: 0.9190	LR: 0.020000
Training Epoch: 15 [3584/48700]	Loss: 0.8316	LR: 0.020000
Training Epoch: 15 [3840/48700]	Loss: 0.8542	LR: 0.020000
Training Epoch: 15 [4096/48700]	Loss: 0.8317	LR: 0.020000
Training Epoch: 15 [4352/48700]	Loss: 0.9137	LR: 0.020000
Training Epoch: 15 [4608/48700]	Loss: 0.8290	LR: 0.020000
Training Epoch: 15 [4864/48700]	Loss: 0.8907	LR: 0.020000
Training Epoch: 15 [5120/48700]	Loss: 0.8395	LR: 0.020000
Training Epoch: 15 [5376/48700]	Loss: 0.8555	LR: 0.020000
Training Epoch: 15 [5632/48700]	Loss: 0.8666	LR: 0.020000
Training Epoch: 15 [5888/48700]	Loss: 0.8196	LR: 0.020000
Training Epoch: 15 [6144/48700]	Loss: 0.8525	LR: 0.020000
Training Epoch: 15 [6400/48700]	Loss: 0.7893	LR: 0.020000
Training Epoch: 15 [6656/48700]	Loss: 0.8862	LR: 0.020000
Training Epoch: 15 [6912/48700]	Loss: 0.8542	LR: 0.020000
Training Epoch: 15 [7168/48700]	Loss: 0.8028	LR: 0.020000
Training Epoch: 15 [7424/48700]	Loss: 0.8411	LR: 0.020000
Training Epoch: 15 [7680/48700]	Loss: 0.7960	LR: 0.020000
Training Epoch: 15 [7936/48700]	Loss: 0.6413	LR: 0.020000
Training Epoch: 15 [8192/48700]	Loss: 0.7849	LR: 0.020000
Training Epoch: 15 [8448/48700]	Loss: 0.8236	LR: 0.020000
Training Epoch: 15 [8704/48700]	Loss: 0.8104	LR: 0.020000
Training Epoch: 15 [8960/48700]	Loss: 0.7146	LR: 0.020000
Training Epoch: 15 [9216/48700]	Loss: 0.9610	LR: 0.020000
Training Epoch: 15 [9472/48700]	Loss: 0.7550	LR: 0.020000
Training Epoch: 15 [9728/48700]	Loss: 0.7585	LR: 0.020000
Training Epoch: 15 [9984/48700]	Loss: 0.8020	LR: 0.020000
Training Epoch: 15 [10240/48700]	Loss: 0.8059	LR: 0.020000
Training Epoch: 15 [10496/48700]	Loss: 0.8842	LR: 0.020000
Training Epoch: 15 [10752/48700]	Loss: 0.7023	LR: 0.020000
Training Epoch: 15 [11008/48700]	Loss: 0.7384	LR: 0.020000
Training Epoch: 15 [11264/48700]	Loss: 0.7651	LR: 0.020000
Training Epoch: 15 [11520/48700]	Loss: 0.7402	LR: 0.020000
Training Epoch: 15 [11776/48700]	Loss: 0.7221	LR: 0.020000
Training Epoch: 15 [12032/48700]	Loss: 0.7154	LR: 0.020000
Training Epoch: 15 [12288/48700]	Loss: 0.7207	LR: 0.020000
Training Epoch: 15 [12544/48700]	Loss: 0.8430	LR: 0.020000
Training Epoch: 15 [12800/48700]	Loss: 0.7658	LR: 0.020000
Training Epoch: 15 [13056/48700]	Loss: 0.8198	LR: 0.020000
Training Epoch: 15 [13312/48700]	Loss: 0.7918	LR: 0.020000
Training Epoch: 15 [13568/48700]	Loss: 0.7249	LR: 0.020000
Training Epoch: 15 [13824/48700]	Loss: 0.7153	LR: 0.020000
Training Epoch: 15 [14080/48700]	Loss: 0.7447	LR: 0.020000
Training Epoch: 15 [14336/48700]	Loss: 0.8163	LR: 0.020000
Training Epoch: 15 [14592/48700]	Loss: 0.7705	LR: 0.020000
Training Epoch: 15 [14848/48700]	Loss: 0.8106	LR: 0.020000
Training Epoch: 15 [15104/48700]	Loss: 0.6474	LR: 0.020000
Training Epoch: 15 [15360/48700]	Loss: 0.8213	LR: 0.020000
Training Epoch: 15 [15616/48700]	Loss: 0.6937	LR: 0.020000
Training Epoch: 15 [15872/48700]	Loss: 0.7826	LR: 0.020000
Training Epoch: 15 [16128/48700]	Loss: 0.8166	LR: 0.020000
Training Epoch: 15 [16384/48700]	Loss: 0.7843	LR: 0.020000
Training Epoch: 15 [16640/48700]	Loss: 0.6544	LR: 0.020000
Training Epoch: 15 [16896/48700]	Loss: 0.7631	LR: 0.020000
Training Epoch: 15 [17152/48700]	Loss: 0.7796	LR: 0.020000
Training Epoch: 15 [17408/48700]	Loss: 0.8004	LR: 0.020000
Training Epoch: 15 [17664/48700]	Loss: 0.8358	LR: 0.020000
Training Epoch: 15 [17920/48700]	Loss: 0.6529	LR: 0.020000
Training Epoch: 15 [18176/48700]	Loss: 0.7865	LR: 0.020000
Training Epoch: 15 [18432/48700]	Loss: 0.7315	LR: 0.020000
Training Epoch: 15 [18688/48700]	Loss: 0.6547	LR: 0.020000
Training Epoch: 15 [18944/48700]	Loss: 0.8940	LR: 0.020000
Training Epoch: 15 [19200/48700]	Loss: 0.7766	LR: 0.020000
Training Epoch: 15 [19456/48700]	Loss: 0.7187	LR: 0.020000
Training Epoch: 15 [19712/48700]	Loss: 0.7568	LR: 0.020000
Training Epoch: 15 [19968/48700]	Loss: 0.7486	LR: 0.020000
Training Epoch: 15 [20224/48700]	Loss: 0.7523	LR: 0.020000
Training Epoch: 15 [20480/48700]	Loss: 0.7090	LR: 0.020000
Training Epoch: 15 [20736/48700]	Loss: 0.7505	LR: 0.020000
Training Epoch: 15 [20992/48700]	Loss: 0.7761	LR: 0.020000
Training Epoch: 15 [21248/48700]	Loss: 0.8797	LR: 0.020000
Training Epoch: 15 [21504/48700]	Loss: 0.6958	LR: 0.020000
Training Epoch: 15 [21760/48700]	Loss: 0.7677	LR: 0.020000
Training Epoch: 15 [22016/48700]	Loss: 0.7657	LR: 0.020000
Training Epoch: 15 [22272/48700]	Loss: 0.8315	LR: 0.020000
Training Epoch: 15 [22528/48700]	Loss: 0.8113	LR: 0.020000
Training Epoch: 15 [22784/48700]	Loss: 0.8118	LR: 0.020000
Training Epoch: 15 [23040/48700]	Loss: 0.6940	LR: 0.020000
Training Epoch: 15 [23296/48700]	Loss: 0.7143	LR: 0.020000
Training Epoch: 15 [23552/48700]	Loss: 0.7046	LR: 0.020000
Training Epoch: 15 [23808/48700]	Loss: 0.6965	LR: 0.020000
Training Epoch: 15 [24064/48700]	Loss: 0.8460	LR: 0.020000
Training Epoch: 15 [24320/48700]	Loss: 0.7232	LR: 0.020000
Training Epoch: 15 [24576/48700]	Loss: 0.5948	LR: 0.020000
Training Epoch: 15 [24832/48700]	Loss: 0.8125	LR: 0.020000
Training Epoch: 15 [25088/48700]	Loss: 0.7212	LR: 0.020000
Training Epoch: 15 [25344/48700]	Loss: 0.7382	LR: 0.020000
Training Epoch: 15 [25600/48700]	Loss: 0.8063	LR: 0.020000
Training Epoch: 15 [25856/48700]	Loss: 0.6900	LR: 0.020000
Training Epoch: 15 [26112/48700]	Loss: 0.8137	LR: 0.020000
Training Epoch: 15 [26368/48700]	Loss: 0.8036	LR: 0.020000
Training Epoch: 15 [26624/48700]	Loss: 0.7281	LR: 0.020000
Training Epoch: 15 [26880/48700]	Loss: 0.7549	LR: 0.020000
Training Epoch: 15 [27136/48700]	Loss: 0.6608	LR: 0.020000
Training Epoch: 15 [27392/48700]	Loss: 0.7894	LR: 0.020000
Training Epoch: 15 [27648/48700]	Loss: 0.8517	LR: 0.020000
Training Epoch: 15 [27904/48700]	Loss: 0.7873	LR: 0.020000
Training Epoch: 15 [28160/48700]	Loss: 0.7249	LR: 0.020000
Training Epoch: 15 [28416/48700]	Loss: 0.7776	LR: 0.020000
Training Epoch: 15 [28672/48700]	Loss: 0.7260	LR: 0.020000
Training Epoch: 15 [28928/48700]	Loss: 0.8067	LR: 0.020000
Training Epoch: 15 [29184/48700]	Loss: 0.8083	LR: 0.020000
Training Epoch: 15 [29440/48700]	Loss: 0.7662	LR: 0.020000
Training Epoch: 15 [29696/48700]	Loss: 0.8044	LR: 0.020000
Training Epoch: 15 [29952/48700]	Loss: 0.6886	LR: 0.020000
Training Epoch: 15 [30208/48700]	Loss: 0.7452	LR: 0.020000
Training Epoch: 15 [30464/48700]	Loss: 0.7309	LR: 0.020000
Training Epoch: 15 [30720/48700]	Loss: 0.7522	LR: 0.020000
Training Epoch: 15 [30976/48700]	Loss: 0.6517	LR: 0.020000
Training Epoch: 15 [31232/48700]	Loss: 0.8305	LR: 0.020000
Training Epoch: 15 [31488/48700]	Loss: 0.7794	LR: 0.020000
Training Epoch: 15 [31744/48700]	Loss: 0.8380	LR: 0.020000
Training Epoch: 15 [32000/48700]	Loss: 0.7798	LR: 0.020000
Training Epoch: 15 [32256/48700]	Loss: 0.7095	LR: 0.020000
Training Epoch: 15 [32512/48700]	Loss: 0.7862	LR: 0.020000
Training Epoch: 15 [32768/48700]	Loss: 0.7017	LR: 0.020000
Training Epoch: 15 [33024/48700]	Loss: 0.7950	LR: 0.020000
Training Epoch: 15 [33280/48700]	Loss: 0.8471	LR: 0.020000
Training Epoch: 15 [33536/48700]	Loss: 0.7702	LR: 0.020000
Training Epoch: 15 [33792/48700]	Loss: 0.6838	LR: 0.020000
Training Epoch: 15 [34048/48700]	Loss: 0.8361	LR: 0.020000
Training Epoch: 15 [34304/48700]	Loss: 0.7220	LR: 0.020000
Training Epoch: 15 [34560/48700]	Loss: 0.8239	LR: 0.020000
Training Epoch: 15 [34816/48700]	Loss: 0.7314	LR: 0.020000
Training Epoch: 15 [35072/48700]	Loss: 0.8165	LR: 0.020000
Training Epoch: 15 [35328/48700]	Loss: 0.6437	LR: 0.020000
Training Epoch: 15 [35584/48700]	Loss: 0.7468	LR: 0.020000
Training Epoch: 15 [35840/48700]	Loss: 0.7397	LR: 0.020000
Training Epoch: 15 [36096/48700]	Loss: 0.6979	LR: 0.020000
Training Epoch: 15 [36352/48700]	Loss: 0.6706	LR: 0.020000
Training Epoch: 15 [36608/48700]	Loss: 0.7857	LR: 0.020000
Training Epoch: 15 [36864/48700]	Loss: 0.8095	LR: 0.020000
Training Epoch: 15 [37120/48700]	Loss: 0.7766	LR: 0.020000
Training Epoch: 15 [37376/48700]	Loss: 0.7573	LR: 0.020000
Training Epoch: 15 [37632/48700]	Loss: 0.8361	LR: 0.020000
Training Epoch: 15 [37888/48700]	Loss: 0.8057	LR: 0.020000
Training Epoch: 15 [38144/48700]	Loss: 0.7222	LR: 0.020000
Training Epoch: 15 [38400/48700]	Loss: 0.6291	LR: 0.020000
Training Epoch: 15 [38656/48700]	Loss: 0.7971	LR: 0.020000
Training Epoch: 15 [38912/48700]	Loss: 0.8281	LR: 0.020000
Training Epoch: 15 [39168/48700]	Loss: 0.8383	LR: 0.020000
Training Epoch: 15 [39424/48700]	Loss: 0.7549	LR: 0.020000
Training Epoch: 15 [39680/48700]	Loss: 0.7126	LR: 0.020000
Training Epoch: 15 [39936/48700]	Loss: 0.6056	LR: 0.020000
Training Epoch: 15 [40192/48700]	Loss: 0.6036	LR: 0.020000
Training Epoch: 15 [40448/48700]	Loss: 0.7367	LR: 0.020000
Training Epoch: 15 [40704/48700]	Loss: 0.6270	LR: 0.020000
Training Epoch: 15 [40960/48700]	Loss: 0.7059	LR: 0.020000
Training Epoch: 15 [41216/48700]	Loss: 0.6279	LR: 0.020000
Training Epoch: 15 [41472/48700]	Loss: 0.7361	LR: 0.020000
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Training Epoch: 15 [47872/48700]	Loss: 0.7773	LR: 0.020000
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Training Epoch: 15 [48384/48700]	Loss: 0.6827	LR: 0.020000
Training Epoch: 15 [48640/48700]	Loss: 0.9202	LR: 0.020000
Training Epoch: 15 [48700/48700]	Loss: 0.8191	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7759, Train Accuracy: 0.7519
Epoch 15 training time consumed: 26.72s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0033, Accuracy: 0.7374, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-15-best.pth
Training Epoch: 16 [256/48700]	Loss: 0.5600	LR: 0.020000
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Training Epoch: 16 [48700/48700]	Loss: 0.5171	LR: 0.020000
Epoch 16 - Average Train Loss: 0.6973, Train Accuracy: 0.7764
Epoch 16 training time consumed: 26.70s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7385, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-16-best.pth
Training Epoch: 17 [256/48700]	Loss: 0.7684	LR: 0.020000
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Training Epoch: 17 [48700/48700]	Loss: 0.6233	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6662, Train Accuracy: 0.7860
Epoch 17 training time consumed: 26.54s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0033, Accuracy: 0.7387, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-17-best.pth
Training Epoch: 18 [256/48700]	Loss: 0.7359	LR: 0.020000
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Training Epoch: 18 [46336/48700]	Loss: 0.6237	LR: 0.020000
Training Epoch: 18 [46592/48700]	Loss: 0.6908	LR: 0.020000
Training Epoch: 18 [46848/48700]	Loss: 0.6703	LR: 0.020000
Training Epoch: 18 [47104/48700]	Loss: 0.6217	LR: 0.020000
Training Epoch: 18 [47360/48700]	Loss: 0.6703	LR: 0.020000
Training Epoch: 18 [47616/48700]	Loss: 0.7232	LR: 0.020000
Training Epoch: 18 [47872/48700]	Loss: 0.6871	LR: 0.020000
Training Epoch: 18 [48128/48700]	Loss: 0.7104	LR: 0.020000
Training Epoch: 18 [48384/48700]	Loss: 0.6589	LR: 0.020000
Training Epoch: 18 [48640/48700]	Loss: 0.6155	LR: 0.020000
Training Epoch: 18 [48700/48700]	Loss: 0.4680	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6462, Train Accuracy: 0.7936
Epoch 18 training time consumed: 26.98s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0032, Accuracy: 0.7412, Time consumed:0.84s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-18-best.pth
Training Epoch: 19 [256/48700]	Loss: 0.5443	LR: 0.020000
Training Epoch: 19 [512/48700]	Loss: 0.5141	LR: 0.020000
Training Epoch: 19 [768/48700]	Loss: 0.5383	LR: 0.020000
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Training Epoch: 19 [1536/48700]	Loss: 0.7427	LR: 0.020000
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Training Epoch: 19 [47872/48700]	Loss: 0.6237	LR: 0.020000
Training Epoch: 19 [48128/48700]	Loss: 0.6749	LR: 0.020000
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Training Epoch: 19 [48640/48700]	Loss: 0.6487	LR: 0.020000
Training Epoch: 19 [48700/48700]	Loss: 0.4052	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6264, Train Accuracy: 0.7981
Epoch 19 training time consumed: 26.67s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0034, Accuracy: 0.7413, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-19-best.pth
Training Epoch: 20 [256/48700]	Loss: 0.6722	LR: 0.020000
Training Epoch: 20 [512/48700]	Loss: 0.5966	LR: 0.020000
Training Epoch: 20 [768/48700]	Loss: 0.6047	LR: 0.020000
Training Epoch: 20 [1024/48700]	Loss: 0.6416	LR: 0.020000
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Training Epoch: 20 [13824/48700]	Loss: 0.6149	LR: 0.020000
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Training Epoch: 20 [14336/48700]	Loss: 0.5603	LR: 0.020000
Training Epoch: 20 [14592/48700]	Loss: 0.6812	LR: 0.020000
Training Epoch: 20 [14848/48700]	Loss: 0.6619	LR: 0.020000
Training Epoch: 20 [15104/48700]	Loss: 0.5908	LR: 0.020000
Training Epoch: 20 [15360/48700]	Loss: 0.5100	LR: 0.020000
Training Epoch: 20 [15616/48700]	Loss: 0.4962	LR: 0.020000
Training Epoch: 20 [15872/48700]	Loss: 0.6473	LR: 0.020000
Training Epoch: 20 [16128/48700]	Loss: 0.5868	LR: 0.020000
Training Epoch: 20 [16384/48700]	Loss: 0.5144	LR: 0.020000
Training Epoch: 20 [16640/48700]	Loss: 0.6790	LR: 0.020000
Training Epoch: 20 [16896/48700]	Loss: 0.6638	LR: 0.020000
Training Epoch: 20 [17152/48700]	Loss: 0.6207	LR: 0.020000
Training Epoch: 20 [17408/48700]	Loss: 0.6562	LR: 0.020000
Training Epoch: 20 [17664/48700]	Loss: 0.5588	LR: 0.020000
Training Epoch: 20 [17920/48700]	Loss: 0.6221	LR: 0.020000
Training Epoch: 20 [18176/48700]	Loss: 0.5911	LR: 0.020000
Training Epoch: 20 [18432/48700]	Loss: 0.5557	LR: 0.020000
Training Epoch: 20 [18688/48700]	Loss: 0.7048	LR: 0.020000
Training Epoch: 20 [18944/48700]	Loss: 0.6449	LR: 0.020000
Training Epoch: 20 [19200/48700]	Loss: 0.6185	LR: 0.020000
Training Epoch: 20 [19456/48700]	Loss: 0.5306	LR: 0.020000
Training Epoch: 20 [19712/48700]	Loss: 0.5940	LR: 0.020000
Training Epoch: 20 [19968/48700]	Loss: 0.5694	LR: 0.020000
Training Epoch: 20 [20224/48700]	Loss: 0.6234	LR: 0.020000
Training Epoch: 20 [20480/48700]	Loss: 0.5553	LR: 0.020000
Training Epoch: 20 [20736/48700]	Loss: 0.5947	LR: 0.020000
Training Epoch: 20 [20992/48700]	Loss: 0.5408	LR: 0.020000
Training Epoch: 20 [21248/48700]	Loss: 0.5528	LR: 0.020000
Training Epoch: 20 [21504/48700]	Loss: 0.5906	LR: 0.020000
Training Epoch: 20 [21760/48700]	Loss: 0.6280	LR: 0.020000
Training Epoch: 20 [22016/48700]	Loss: 0.5682	LR: 0.020000
Training Epoch: 20 [22272/48700]	Loss: 0.6797	LR: 0.020000
Training Epoch: 20 [22528/48700]	Loss: 0.5155	LR: 0.020000
Training Epoch: 20 [22784/48700]	Loss: 0.6600	LR: 0.020000
Training Epoch: 20 [23040/48700]	Loss: 0.6051	LR: 0.020000
Training Epoch: 20 [23296/48700]	Loss: 0.6238	LR: 0.020000
Training Epoch: 20 [23552/48700]	Loss: 0.5726	LR: 0.020000
Training Epoch: 20 [23808/48700]	Loss: 0.6153	LR: 0.020000
Training Epoch: 20 [24064/48700]	Loss: 0.7447	LR: 0.020000
Training Epoch: 20 [24320/48700]	Loss: 0.7321	LR: 0.020000
Training Epoch: 20 [24576/48700]	Loss: 0.6287	LR: 0.020000
Training Epoch: 20 [24832/48700]	Loss: 0.5716	LR: 0.020000
Training Epoch: 20 [25088/48700]	Loss: 0.4697	LR: 0.020000
Training Epoch: 20 [25344/48700]	Loss: 0.6110	LR: 0.020000
Training Epoch: 20 [25600/48700]	Loss: 0.5954	LR: 0.020000
Training Epoch: 20 [25856/48700]	Loss: 0.5587	LR: 0.020000
Training Epoch: 20 [26112/48700]	Loss: 0.6185	LR: 0.020000
Training Epoch: 20 [26368/48700]	Loss: 0.5119	LR: 0.020000
Training Epoch: 20 [26624/48700]	Loss: 0.5979	LR: 0.020000
Training Epoch: 20 [26880/48700]	Loss: 0.6481	LR: 0.020000
Training Epoch: 20 [27136/48700]	Loss: 0.5321	LR: 0.020000
Training Epoch: 20 [27392/48700]	Loss: 0.6212	LR: 0.020000
Training Epoch: 20 [27648/48700]	Loss: 0.7462	LR: 0.020000
Training Epoch: 20 [27904/48700]	Loss: 0.6959	LR: 0.020000
Training Epoch: 20 [28160/48700]	Loss: 0.4621	LR: 0.020000
Training Epoch: 20 [28416/48700]	Loss: 0.5877	LR: 0.020000
Training Epoch: 20 [28672/48700]	Loss: 0.5640	LR: 0.020000
Training Epoch: 20 [28928/48700]	Loss: 0.6181	LR: 0.020000
Training Epoch: 20 [29184/48700]	Loss: 0.7591	LR: 0.020000
Training Epoch: 20 [29440/48700]	Loss: 0.7155	LR: 0.020000
Training Epoch: 20 [29696/48700]	Loss: 0.5208	LR: 0.020000
Training Epoch: 20 [29952/48700]	Loss: 0.4458	LR: 0.020000
Training Epoch: 20 [30208/48700]	Loss: 0.4764	LR: 0.020000
Training Epoch: 20 [30464/48700]	Loss: 0.6335	LR: 0.020000
Training Epoch: 20 [30720/48700]	Loss: 0.6002	LR: 0.020000
Training Epoch: 20 [30976/48700]	Loss: 0.6366	LR: 0.020000
Training Epoch: 20 [31232/48700]	Loss: 0.7475	LR: 0.020000
Training Epoch: 20 [31488/48700]	Loss: 0.6093	LR: 0.020000
Training Epoch: 20 [31744/48700]	Loss: 0.6511	LR: 0.020000
Training Epoch: 20 [32000/48700]	Loss: 0.5070	LR: 0.020000
Training Epoch: 20 [32256/48700]	Loss: 0.6218	LR: 0.020000
Training Epoch: 20 [32512/48700]	Loss: 0.6655	LR: 0.020000
Training Epoch: 20 [32768/48700]	Loss: 0.5532	LR: 0.020000
Training Epoch: 20 [33024/48700]	Loss: 0.5517	LR: 0.020000
Training Epoch: 20 [33280/48700]	Loss: 0.5290	LR: 0.020000
Training Epoch: 20 [33536/48700]	Loss: 0.6463	LR: 0.020000
Training Epoch: 20 [33792/48700]	Loss: 0.6466	LR: 0.020000
Training Epoch: 20 [34048/48700]	Loss: 0.6610	LR: 0.020000
Training Epoch: 20 [34304/48700]	Loss: 0.5586	LR: 0.020000
Training Epoch: 20 [34560/48700]	Loss: 0.6419	LR: 0.020000
Training Epoch: 20 [34816/48700]	Loss: 0.5580	LR: 0.020000
Training Epoch: 20 [35072/48700]	Loss: 0.4989	LR: 0.020000
Training Epoch: 20 [35328/48700]	Loss: 0.6370	LR: 0.020000
Training Epoch: 20 [35584/48700]	Loss: 0.5758	LR: 0.020000
Training Epoch: 20 [35840/48700]	Loss: 0.6506	LR: 0.020000
Training Epoch: 20 [36096/48700]	Loss: 0.5909	LR: 0.020000
Training Epoch: 20 [36352/48700]	Loss: 0.5033	LR: 0.020000
Training Epoch: 20 [36608/48700]	Loss: 0.5746	LR: 0.020000
Training Epoch: 20 [36864/48700]	Loss: 0.6246	LR: 0.020000
Training Epoch: 20 [37120/48700]	Loss: 0.6691	LR: 0.020000
Training Epoch: 20 [37376/48700]	Loss: 0.6423	LR: 0.020000
Training Epoch: 20 [37632/48700]	Loss: 0.5638	LR: 0.020000
Training Epoch: 20 [37888/48700]	Loss: 0.7195	LR: 0.020000
Training Epoch: 20 [38144/48700]	Loss: 0.6136	LR: 0.020000
Training Epoch: 20 [38400/48700]	Loss: 0.6552	LR: 0.020000
Training Epoch: 20 [38656/48700]	Loss: 0.5506	LR: 0.020000
Training Epoch: 20 [38912/48700]	Loss: 0.6038	LR: 0.020000
Training Epoch: 20 [39168/48700]	Loss: 0.5412	LR: 0.020000
Training Epoch: 20 [39424/48700]	Loss: 0.5483	LR: 0.020000
Training Epoch: 20 [39680/48700]	Loss: 0.6449	LR: 0.020000
Training Epoch: 20 [39936/48700]	Loss: 0.6201	LR: 0.020000
Training Epoch: 20 [40192/48700]	Loss: 0.5812	LR: 0.020000
Training Epoch: 20 [40448/48700]	Loss: 0.5895	LR: 0.020000
Training Epoch: 20 [40704/48700]	Loss: 0.5189	LR: 0.020000
Training Epoch: 20 [40960/48700]	Loss: 0.7564	LR: 0.020000
Training Epoch: 20 [41216/48700]	Loss: 0.5860	LR: 0.020000
Training Epoch: 20 [41472/48700]	Loss: 0.5363	LR: 0.020000
Training Epoch: 20 [41728/48700]	Loss: 0.6089	LR: 0.020000
Training Epoch: 20 [41984/48700]	Loss: 0.4967	LR: 0.020000
Training Epoch: 20 [42240/48700]	Loss: 0.7051	LR: 0.020000
Training Epoch: 20 [42496/48700]	Loss: 0.6258	LR: 0.020000
Training Epoch: 20 [42752/48700]	Loss: 0.6196	LR: 0.020000
Training Epoch: 20 [43008/48700]	Loss: 0.8101	LR: 0.020000
Training Epoch: 20 [43264/48700]	Loss: 0.6581	LR: 0.020000
Training Epoch: 20 [43520/48700]	Loss: 0.6474	LR: 0.020000
Training Epoch: 20 [43776/48700]	Loss: 0.7095	LR: 0.020000
Training Epoch: 20 [44032/48700]	Loss: 0.6319	LR: 0.020000
Training Epoch: 20 [44288/48700]	Loss: 0.5967	LR: 0.020000
Training Epoch: 20 [44544/48700]	Loss: 0.6725	LR: 0.020000
Training Epoch: 20 [44800/48700]	Loss: 0.6552	LR: 0.020000
Training Epoch: 20 [45056/48700]	Loss: 0.5148	LR: 0.020000
Training Epoch: 20 [45312/48700]	Loss: 0.6926	LR: 0.020000
Training Epoch: 20 [45568/48700]	Loss: 0.5969	LR: 0.020000
Training Epoch: 20 [45824/48700]	Loss: 0.5453	LR: 0.020000
Training Epoch: 20 [46080/48700]	Loss: 0.5573	LR: 0.020000
Training Epoch: 20 [46336/48700]	Loss: 0.6667	LR: 0.020000
Training Epoch: 20 [46592/48700]	Loss: 0.6664	LR: 0.020000
Training Epoch: 20 [46848/48700]	Loss: 0.6969	LR: 0.020000
Training Epoch: 20 [47104/48700]	Loss: 0.4671	LR: 0.020000
Training Epoch: 20 [47360/48700]	Loss: 0.6396	LR: 0.020000
Training Epoch: 20 [47616/48700]	Loss: 0.6463	LR: 0.020000
Training Epoch: 20 [47872/48700]	Loss: 0.5678	LR: 0.020000
Training Epoch: 20 [48128/48700]	Loss: 0.6337	LR: 0.020000
Training Epoch: 20 [48384/48700]	Loss: 0.6577	LR: 0.020000
Training Epoch: 20 [48640/48700]	Loss: 0.7224	LR: 0.020000
Training Epoch: 20 [48700/48700]	Loss: 0.7177	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6097, Train Accuracy: 0.8052
Epoch 20 training time consumed: 26.65s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0034, Accuracy: 0.7301, Time consumed:0.92s
Training Epoch: 21 [256/48700]	Loss: 0.5429	LR: 0.020000
Training Epoch: 21 [512/48700]	Loss: 0.5265	LR: 0.020000
Training Epoch: 21 [768/48700]	Loss: 0.5555	LR: 0.020000
Training Epoch: 21 [1024/48700]	Loss: 0.5452	LR: 0.020000
Training Epoch: 21 [1280/48700]	Loss: 0.5036	LR: 0.020000
Training Epoch: 21 [1536/48700]	Loss: 0.5291	LR: 0.020000
Training Epoch: 21 [1792/48700]	Loss: 0.5937	LR: 0.020000
Training Epoch: 21 [2048/48700]	Loss: 0.6267	LR: 0.020000
Training Epoch: 21 [2304/48700]	Loss: 0.5696	LR: 0.020000
Training Epoch: 21 [2560/48700]	Loss: 0.5240	LR: 0.020000
Training Epoch: 21 [2816/48700]	Loss: 0.6353	LR: 0.020000
Training Epoch: 21 [3072/48700]	Loss: 0.5316	LR: 0.020000
Training Epoch: 21 [3328/48700]	Loss: 0.5803	LR: 0.020000
Training Epoch: 21 [3584/48700]	Loss: 0.6992	LR: 0.020000
Training Epoch: 21 [3840/48700]	Loss: 0.6692	LR: 0.020000
Training Epoch: 21 [4096/48700]	Loss: 0.4621	LR: 0.020000
Training Epoch: 21 [4352/48700]	Loss: 0.5400	LR: 0.020000
Training Epoch: 21 [4608/48700]	Loss: 0.5116	LR: 0.020000
Training Epoch: 21 [4864/48700]	Loss: 0.5472	LR: 0.020000
Training Epoch: 21 [5120/48700]	Loss: 0.4674	LR: 0.020000
Training Epoch: 21 [5376/48700]	Loss: 0.5429	LR: 0.020000
Training Epoch: 21 [5632/48700]	Loss: 0.5384	LR: 0.020000
Training Epoch: 21 [5888/48700]	Loss: 0.5321	LR: 0.020000
Training Epoch: 21 [6144/48700]	Loss: 0.5626	LR: 0.020000
Training Epoch: 21 [6400/48700]	Loss: 0.6427	LR: 0.020000
Training Epoch: 21 [6656/48700]	Loss: 0.6201	LR: 0.020000
Training Epoch: 21 [6912/48700]	Loss: 0.6686	LR: 0.020000
Training Epoch: 21 [7168/48700]	Loss: 0.5960	LR: 0.020000
Training Epoch: 21 [7424/48700]	Loss: 0.6007	LR: 0.020000
Training Epoch: 21 [7680/48700]	Loss: 0.5640	LR: 0.020000
Training Epoch: 21 [7936/48700]	Loss: 0.5610	LR: 0.020000
Training Epoch: 21 [8192/48700]	Loss: 0.5970	LR: 0.020000
Training Epoch: 21 [8448/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 21 [8704/48700]	Loss: 0.6010	LR: 0.020000
Training Epoch: 21 [8960/48700]	Loss: 0.6422	LR: 0.020000
Training Epoch: 21 [9216/48700]	Loss: 0.6285	LR: 0.020000
Training Epoch: 21 [9472/48700]	Loss: 0.5508	LR: 0.020000
Training Epoch: 21 [9728/48700]	Loss: 0.6352	LR: 0.020000
Training Epoch: 21 [9984/48700]	Loss: 0.5749	LR: 0.020000
Training Epoch: 21 [10240/48700]	Loss: 0.6838	LR: 0.020000
Training Epoch: 21 [10496/48700]	Loss: 0.7372	LR: 0.020000
Training Epoch: 21 [10752/48700]	Loss: 0.6210	LR: 0.020000
Training Epoch: 21 [11008/48700]	Loss: 0.5515	LR: 0.020000
Training Epoch: 21 [11264/48700]	Loss: 0.5257	LR: 0.020000
Training Epoch: 21 [11520/48700]	Loss: 0.7300	LR: 0.020000
Training Epoch: 21 [11776/48700]	Loss: 0.6139	LR: 0.020000
Training Epoch: 21 [12032/48700]	Loss: 0.6803	LR: 0.020000
Training Epoch: 21 [12288/48700]	Loss: 0.5974	LR: 0.020000
Training Epoch: 21 [12544/48700]	Loss: 0.4924	LR: 0.020000
Training Epoch: 21 [12800/48700]	Loss: 0.5592	LR: 0.020000
Training Epoch: 21 [13056/48700]	Loss: 0.6323	LR: 0.020000
Training Epoch: 21 [13312/48700]	Loss: 0.6214	LR: 0.020000
Training Epoch: 21 [13568/48700]	Loss: 0.6513	LR: 0.020000
Training Epoch: 21 [13824/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 21 [14080/48700]	Loss: 0.5611	LR: 0.020000
Training Epoch: 21 [14336/48700]	Loss: 0.5817	LR: 0.020000
Training Epoch: 21 [14592/48700]	Loss: 0.7303	LR: 0.020000
Training Epoch: 21 [14848/48700]	Loss: 0.6933	LR: 0.020000
Training Epoch: 21 [15104/48700]	Loss: 0.5666	LR: 0.020000
Training Epoch: 21 [15360/48700]	Loss: 0.5982	LR: 0.020000
Training Epoch: 21 [15616/48700]	Loss: 0.5766	LR: 0.020000
Training Epoch: 21 [15872/48700]	Loss: 0.6533	LR: 0.020000
Training Epoch: 21 [16128/48700]	Loss: 0.5986	LR: 0.020000
Training Epoch: 21 [16384/48700]	Loss: 0.6019	LR: 0.020000
Training Epoch: 21 [16640/48700]	Loss: 0.4837	LR: 0.020000
Training Epoch: 21 [16896/48700]	Loss: 0.6760	LR: 0.020000
Training Epoch: 21 [17152/48700]	Loss: 0.5176	LR: 0.020000
Training Epoch: 21 [17408/48700]	Loss: 0.5630	LR: 0.020000
Training Epoch: 21 [17664/48700]	Loss: 0.6379	LR: 0.020000
Training Epoch: 21 [17920/48700]	Loss: 0.5878	LR: 0.020000
Training Epoch: 21 [18176/48700]	Loss: 0.6299	LR: 0.020000
Training Epoch: 21 [18432/48700]	Loss: 0.6822	LR: 0.020000
Training Epoch: 21 [18688/48700]	Loss: 0.5775	LR: 0.020000
Training Epoch: 21 [18944/48700]	Loss: 0.4999	LR: 0.020000
Training Epoch: 21 [19200/48700]	Loss: 0.6582	LR: 0.020000
Training Epoch: 21 [19456/48700]	Loss: 0.5187	LR: 0.020000
Training Epoch: 21 [19712/48700]	Loss: 0.5620	LR: 0.020000
Training Epoch: 21 [19968/48700]	Loss: 0.5758	LR: 0.020000
Training Epoch: 21 [20224/48700]	Loss: 0.5759	LR: 0.020000
Training Epoch: 21 [20480/48700]	Loss: 0.6046	LR: 0.020000
Training Epoch: 21 [20736/48700]	Loss: 0.6226	LR: 0.020000
Training Epoch: 21 [20992/48700]	Loss: 0.5066	LR: 0.020000
Training Epoch: 21 [21248/48700]	Loss: 0.6029	LR: 0.020000
Training Epoch: 21 [21504/48700]	Loss: 0.5638	LR: 0.020000
Training Epoch: 21 [21760/48700]	Loss: 0.7586	LR: 0.020000
Training Epoch: 21 [22016/48700]	Loss: 0.5906	LR: 0.020000
Training Epoch: 21 [22272/48700]	Loss: 0.6481	LR: 0.020000
Training Epoch: 21 [22528/48700]	Loss: 0.5631	LR: 0.020000
Training Epoch: 21 [22784/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 21 [23040/48700]	Loss: 0.5015	LR: 0.020000
Training Epoch: 21 [23296/48700]	Loss: 0.5253	LR: 0.020000
Training Epoch: 21 [23552/48700]	Loss: 0.6290	LR: 0.020000
Training Epoch: 21 [23808/48700]	Loss: 0.5312	LR: 0.020000
Training Epoch: 21 [24064/48700]	Loss: 0.5547	LR: 0.020000
Training Epoch: 21 [24320/48700]	Loss: 0.6805	LR: 0.020000
Training Epoch: 21 [24576/48700]	Loss: 0.5820	LR: 0.020000
Training Epoch: 21 [24832/48700]	Loss: 0.6077	LR: 0.020000
Training Epoch: 21 [25088/48700]	Loss: 0.6156	LR: 0.020000
Training Epoch: 21 [25344/48700]	Loss: 0.6769	LR: 0.020000
Training Epoch: 21 [25600/48700]	Loss: 0.5361	LR: 0.020000
Training Epoch: 21 [25856/48700]	Loss: 0.5766	LR: 0.020000
Training Epoch: 21 [26112/48700]	Loss: 0.6090	LR: 0.020000
Training Epoch: 21 [26368/48700]	Loss: 0.5966	LR: 0.020000
Training Epoch: 21 [26624/48700]	Loss: 0.5863	LR: 0.020000
Training Epoch: 21 [26880/48700]	Loss: 0.7065	LR: 0.020000
Training Epoch: 21 [27136/48700]	Loss: 0.6169	LR: 0.020000
Training Epoch: 21 [27392/48700]	Loss: 0.5829	LR: 0.020000
Training Epoch: 21 [27648/48700]	Loss: 0.6809	LR: 0.020000
Training Epoch: 21 [27904/48700]	Loss: 0.6311	LR: 0.020000
Training Epoch: 21 [28160/48700]	Loss: 0.5805	LR: 0.020000
Training Epoch: 21 [28416/48700]	Loss: 0.5533	LR: 0.020000
Training Epoch: 21 [28672/48700]	Loss: 0.6790	LR: 0.020000
Training Epoch: 21 [28928/48700]	Loss: 0.6398	LR: 0.020000
Training Epoch: 21 [29184/48700]	Loss: 0.5850	LR: 0.020000
Training Epoch: 21 [29440/48700]	Loss: 0.6361	LR: 0.020000
Training Epoch: 21 [29696/48700]	Loss: 0.5877	LR: 0.020000
Training Epoch: 21 [29952/48700]	Loss: 0.4663	LR: 0.020000
Training Epoch: 21 [30208/48700]	Loss: 0.5837	LR: 0.020000
Training Epoch: 21 [30464/48700]	Loss: 0.5720	LR: 0.020000
Training Epoch: 21 [30720/48700]	Loss: 0.5976	LR: 0.020000
Training Epoch: 21 [30976/48700]	Loss: 0.5934	LR: 0.020000
Training Epoch: 21 [31232/48700]	Loss: 0.6379	LR: 0.020000
Training Epoch: 21 [31488/48700]	Loss: 0.5775	LR: 0.020000
Training Epoch: 21 [31744/48700]	Loss: 0.6254	LR: 0.020000
Training Epoch: 21 [32000/48700]	Loss: 0.7390	LR: 0.020000
Training Epoch: 21 [32256/48700]	Loss: 0.5941	LR: 0.020000
Training Epoch: 21 [32512/48700]	Loss: 0.5079	LR: 0.020000
Training Epoch: 21 [32768/48700]	Loss: 0.6833	LR: 0.020000
Training Epoch: 21 [33024/48700]	Loss: 0.6294	LR: 0.020000
Training Epoch: 21 [33280/48700]	Loss: 0.5923	LR: 0.020000
Training Epoch: 21 [33536/48700]	Loss: 0.5343	LR: 0.020000
Training Epoch: 21 [33792/48700]	Loss: 0.5334	LR: 0.020000
Training Epoch: 21 [34048/48700]	Loss: 0.6285	LR: 0.020000
Training Epoch: 21 [34304/48700]	Loss: 0.5070	LR: 0.020000
Training Epoch: 21 [34560/48700]	Loss: 0.6086	LR: 0.020000
Training Epoch: 21 [34816/48700]	Loss: 0.6094	LR: 0.020000
Training Epoch: 21 [35072/48700]	Loss: 0.5235	LR: 0.020000
Training Epoch: 21 [35328/48700]	Loss: 0.5417	LR: 0.020000
Training Epoch: 21 [35584/48700]	Loss: 0.7259	LR: 0.020000
Training Epoch: 21 [35840/48700]	Loss: 0.6239	LR: 0.020000
Training Epoch: 21 [36096/48700]	Loss: 0.5365	LR: 0.020000
Training Epoch: 21 [36352/48700]	Loss: 0.7007	LR: 0.020000
Training Epoch: 21 [36608/48700]	Loss: 0.5378	LR: 0.020000
Training Epoch: 21 [36864/48700]	Loss: 0.6657	LR: 0.020000
Training Epoch: 21 [37120/48700]	Loss: 0.6643	LR: 0.020000
Training Epoch: 21 [37376/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 21 [37632/48700]	Loss: 0.6117	LR: 0.020000
Training Epoch: 21 [37888/48700]	Loss: 0.5472	LR: 0.020000
Training Epoch: 21 [38144/48700]	Loss: 0.6219	LR: 0.020000
Training Epoch: 21 [38400/48700]	Loss: 0.7220	LR: 0.020000
Training Epoch: 21 [38656/48700]	Loss: 0.4823	LR: 0.020000
Training Epoch: 21 [38912/48700]	Loss: 0.6081	LR: 0.020000
Training Epoch: 21 [39168/48700]	Loss: 0.5843	LR: 0.020000
Training Epoch: 21 [39424/48700]	Loss: 0.5805	LR: 0.020000
Training Epoch: 21 [39680/48700]	Loss: 0.6923	LR: 0.020000
Training Epoch: 21 [39936/48700]	Loss: 0.5862	LR: 0.020000
Training Epoch: 21 [40192/48700]	Loss: 0.6466	LR: 0.020000
Training Epoch: 21 [40448/48700]	Loss: 0.6326	LR: 0.020000
Training Epoch: 21 [40704/48700]	Loss: 0.6216	LR: 0.020000
Training Epoch: 21 [40960/48700]	Loss: 0.5239	LR: 0.020000
Training Epoch: 21 [41216/48700]	Loss: 0.5913	LR: 0.020000
Training Epoch: 21 [41472/48700]	Loss: 0.6107	LR: 0.020000
Training Epoch: 21 [41728/48700]	Loss: 0.5924	LR: 0.020000
Training Epoch: 21 [41984/48700]	Loss: 0.6489	LR: 0.020000
Training Epoch: 21 [42240/48700]	Loss: 0.5699	LR: 0.020000
Training Epoch: 21 [42496/48700]	Loss: 0.5875	LR: 0.020000
Training Epoch: 21 [42752/48700]	Loss: 0.5721	LR: 0.020000
Training Epoch: 21 [43008/48700]	Loss: 0.5352	LR: 0.020000
Training Epoch: 21 [43264/48700]	Loss: 0.4966	LR: 0.020000
Training Epoch: 21 [43520/48700]	Loss: 0.6472	LR: 0.020000
Training Epoch: 21 [43776/48700]	Loss: 0.5939	LR: 0.020000
Training Epoch: 21 [44032/48700]	Loss: 0.5496	LR: 0.020000
Training Epoch: 21 [44288/48700]	Loss: 0.5062	LR: 0.020000
Training Epoch: 21 [44544/48700]	Loss: 0.5798	LR: 0.020000
Training Epoch: 21 [44800/48700]	Loss: 0.5523	LR: 0.020000
Training Epoch: 21 [45056/48700]	Loss: 0.5756	LR: 0.020000
Training Epoch: 21 [45312/48700]	Loss: 0.5529	LR: 0.020000
Training Epoch: 21 [45568/48700]	Loss: 0.5436	LR: 0.020000
Training Epoch: 21 [45824/48700]	Loss: 0.6618	LR: 0.020000
Training Epoch: 21 [46080/48700]	Loss: 0.7566	LR: 0.020000
Training Epoch: 21 [46336/48700]	Loss: 0.5584	LR: 0.020000
Training Epoch: 21 [46592/48700]	Loss: 0.4713	LR: 0.020000
Training Epoch: 21 [46848/48700]	Loss: 0.6478	LR: 0.020000
Training Epoch: 21 [47104/48700]	Loss: 0.6040	LR: 0.020000
Training Epoch: 21 [47360/48700]	Loss: 0.6672	LR: 0.020000
Training Epoch: 21 [47616/48700]	Loss: 0.5817	LR: 0.020000
Training Epoch: 21 [47872/48700]	Loss: 0.6607	LR: 0.020000
Training Epoch: 21 [48128/48700]	Loss: 0.4518	LR: 0.020000
Training Epoch: 21 [48384/48700]	Loss: 0.7377	LR: 0.020000
Training Epoch: 21 [48640/48700]	Loss: 0.6427	LR: 0.020000
Training Epoch: 21 [48700/48700]	Loss: 0.6331	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5944, Train Accuracy: 0.8094
Epoch 21 training time consumed: 26.68s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0035, Accuracy: 0.7365, Time consumed:0.85s
Training Epoch: 22 [256/48700]	Loss: 0.4680	LR: 0.020000
Training Epoch: 22 [512/48700]	Loss: 0.6768	LR: 0.020000
Training Epoch: 22 [768/48700]	Loss: 0.6696	LR: 0.020000
Training Epoch: 22 [1024/48700]	Loss: 0.6004	LR: 0.020000
Training Epoch: 22 [1280/48700]	Loss: 0.6838	LR: 0.020000
Training Epoch: 22 [1536/48700]	Loss: 0.5888	LR: 0.020000
Training Epoch: 22 [1792/48700]	Loss: 0.4947	LR: 0.020000
Training Epoch: 22 [2048/48700]	Loss: 0.6909	LR: 0.020000
Training Epoch: 22 [2304/48700]	Loss: 0.5576	LR: 0.020000
Training Epoch: 22 [2560/48700]	Loss: 0.6179	LR: 0.020000
Training Epoch: 22 [2816/48700]	Loss: 0.4637	LR: 0.020000
Training Epoch: 22 [3072/48700]	Loss: 0.5816	LR: 0.020000
Training Epoch: 22 [3328/48700]	Loss: 0.6395	LR: 0.020000
Training Epoch: 22 [3584/48700]	Loss: 0.5580	LR: 0.020000
Training Epoch: 22 [3840/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 22 [4096/48700]	Loss: 0.5632	LR: 0.020000
Training Epoch: 22 [4352/48700]	Loss: 0.5922	LR: 0.020000
Training Epoch: 22 [4608/48700]	Loss: 0.5206	LR: 0.020000
Training Epoch: 22 [4864/48700]	Loss: 0.5596	LR: 0.020000
Training Epoch: 22 [5120/48700]	Loss: 0.5781	LR: 0.020000
Training Epoch: 22 [5376/48700]	Loss: 0.4673	LR: 0.020000
Training Epoch: 22 [5632/48700]	Loss: 0.4640	LR: 0.020000
Training Epoch: 22 [5888/48700]	Loss: 0.5828	LR: 0.020000
Training Epoch: 22 [6144/48700]	Loss: 0.5974	LR: 0.020000
Training Epoch: 22 [6400/48700]	Loss: 0.5650	LR: 0.020000
Training Epoch: 22 [6656/48700]	Loss: 0.5390	LR: 0.020000
Training Epoch: 22 [6912/48700]	Loss: 0.6101	LR: 0.020000
Training Epoch: 22 [7168/48700]	Loss: 0.4748	LR: 0.020000
Training Epoch: 22 [7424/48700]	Loss: 0.4773	LR: 0.020000
Training Epoch: 22 [7680/48700]	Loss: 0.6474	LR: 0.020000
Training Epoch: 22 [7936/48700]	Loss: 0.6601	LR: 0.020000
Training Epoch: 22 [8192/48700]	Loss: 0.5303	LR: 0.020000
Training Epoch: 22 [8448/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 22 [8704/48700]	Loss: 0.6099	LR: 0.020000
Training Epoch: 22 [8960/48700]	Loss: 0.5878	LR: 0.020000
Training Epoch: 22 [9216/48700]	Loss: 0.6189	LR: 0.020000
Training Epoch: 22 [9472/48700]	Loss: 0.4956	LR: 0.020000
Training Epoch: 22 [9728/48700]	Loss: 0.6498	LR: 0.020000
Training Epoch: 22 [9984/48700]	Loss: 0.5749	LR: 0.020000
Training Epoch: 22 [10240/48700]	Loss: 0.5679	LR: 0.020000
Training Epoch: 22 [10496/48700]	Loss: 0.5497	LR: 0.020000
Training Epoch: 22 [10752/48700]	Loss: 0.5755	LR: 0.020000
Training Epoch: 22 [11008/48700]	Loss: 0.6276	LR: 0.020000
Training Epoch: 22 [11264/48700]	Loss: 0.5092	LR: 0.020000
Training Epoch: 22 [11520/48700]	Loss: 0.6071	LR: 0.020000
Training Epoch: 22 [11776/48700]	Loss: 0.5795	LR: 0.020000
Training Epoch: 22 [12032/48700]	Loss: 0.5354	LR: 0.020000
Training Epoch: 22 [12288/48700]	Loss: 0.5404	LR: 0.020000
Training Epoch: 22 [12544/48700]	Loss: 0.5313	LR: 0.020000
Training Epoch: 22 [12800/48700]	Loss: 0.5899	LR: 0.020000
Training Epoch: 22 [13056/48700]	Loss: 0.5447	LR: 0.020000
Training Epoch: 22 [13312/48700]	Loss: 0.5233	LR: 0.020000
Training Epoch: 22 [13568/48700]	Loss: 0.5426	LR: 0.020000
Training Epoch: 22 [13824/48700]	Loss: 0.5531	LR: 0.020000
Training Epoch: 22 [14080/48700]	Loss: 0.6271	LR: 0.020000
Training Epoch: 22 [14336/48700]	Loss: 0.6620	LR: 0.020000
Training Epoch: 22 [14592/48700]	Loss: 0.6625	LR: 0.020000
Training Epoch: 22 [14848/48700]	Loss: 0.6274	LR: 0.020000
Training Epoch: 22 [15104/48700]	Loss: 0.5217	LR: 0.020000
Training Epoch: 22 [15360/48700]	Loss: 0.5605	LR: 0.020000
Training Epoch: 22 [15616/48700]	Loss: 0.5112	LR: 0.020000
Training Epoch: 22 [15872/48700]	Loss: 0.4782	LR: 0.020000
Training Epoch: 22 [16128/48700]	Loss: 0.6514	LR: 0.020000
Training Epoch: 22 [16384/48700]	Loss: 0.6798	LR: 0.020000
Training Epoch: 22 [16640/48700]	Loss: 0.6516	LR: 0.020000
Training Epoch: 22 [16896/48700]	Loss: 0.5384	LR: 0.020000
Training Epoch: 22 [17152/48700]	Loss: 0.6151	LR: 0.020000
Training Epoch: 22 [17408/48700]	Loss: 0.6510	LR: 0.020000
Training Epoch: 22 [17664/48700]	Loss: 0.5291	LR: 0.020000
Training Epoch: 22 [17920/48700]	Loss: 0.5222	LR: 0.020000
Training Epoch: 22 [18176/48700]	Loss: 0.6244	LR: 0.020000
Training Epoch: 22 [18432/48700]	Loss: 0.7166	LR: 0.020000
Training Epoch: 22 [18688/48700]	Loss: 0.5965	LR: 0.020000
Training Epoch: 22 [18944/48700]	Loss: 0.4857	LR: 0.020000
Training Epoch: 22 [19200/48700]	Loss: 0.5580	LR: 0.020000
Training Epoch: 22 [19456/48700]	Loss: 0.6242	LR: 0.020000
Training Epoch: 22 [19712/48700]	Loss: 0.5473	LR: 0.020000
Training Epoch: 22 [19968/48700]	Loss: 0.6453	LR: 0.020000
Training Epoch: 22 [20224/48700]	Loss: 0.5323	LR: 0.020000
Training Epoch: 22 [20480/48700]	Loss: 0.7895	LR: 0.020000
Training Epoch: 22 [20736/48700]	Loss: 0.6181	LR: 0.020000
Training Epoch: 22 [20992/48700]	Loss: 0.5917	LR: 0.020000
Training Epoch: 22 [21248/48700]	Loss: 0.6780	LR: 0.020000
Training Epoch: 22 [21504/48700]	Loss: 0.5757	LR: 0.020000
Training Epoch: 22 [21760/48700]	Loss: 0.6015	LR: 0.020000
Training Epoch: 22 [22016/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 22 [22272/48700]	Loss: 0.5220	LR: 0.020000
Training Epoch: 22 [22528/48700]	Loss: 0.5441	LR: 0.020000
Training Epoch: 22 [22784/48700]	Loss: 0.6566	LR: 0.020000
Training Epoch: 22 [23040/48700]	Loss: 0.5058	LR: 0.020000
Training Epoch: 22 [23296/48700]	Loss: 0.5635	LR: 0.020000
Training Epoch: 22 [23552/48700]	Loss: 0.4813	LR: 0.020000
Training Epoch: 22 [23808/48700]	Loss: 0.6541	LR: 0.020000
Training Epoch: 22 [24064/48700]	Loss: 0.6105	LR: 0.020000
Training Epoch: 22 [24320/48700]	Loss: 0.6581	LR: 0.020000
Training Epoch: 22 [24576/48700]	Loss: 0.6160	LR: 0.020000
Training Epoch: 22 [24832/48700]	Loss: 0.5369	LR: 0.020000
Training Epoch: 22 [25088/48700]	Loss: 0.6419	LR: 0.020000
Training Epoch: 22 [25344/48700]	Loss: 0.6987	LR: 0.020000
Training Epoch: 22 [25600/48700]	Loss: 0.5700	LR: 0.020000
Training Epoch: 22 [25856/48700]	Loss: 0.4979	LR: 0.020000
Training Epoch: 22 [26112/48700]	Loss: 0.5566	LR: 0.020000
Training Epoch: 22 [26368/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 22 [26624/48700]	Loss: 0.5818	LR: 0.020000
Training Epoch: 22 [26880/48700]	Loss: 0.6386	LR: 0.020000
Training Epoch: 22 [27136/48700]	Loss: 0.5009	LR: 0.020000
Training Epoch: 22 [27392/48700]	Loss: 0.5108	LR: 0.020000
Training Epoch: 22 [27648/48700]	Loss: 0.5735	LR: 0.020000
Training Epoch: 22 [27904/48700]	Loss: 0.6146	LR: 0.020000
Training Epoch: 22 [28160/48700]	Loss: 0.5079	LR: 0.020000
Training Epoch: 22 [28416/48700]	Loss: 0.5402	LR: 0.020000
Training Epoch: 22 [28672/48700]	Loss: 0.5256	LR: 0.020000
Training Epoch: 22 [28928/48700]	Loss: 0.4321	LR: 0.020000
Training Epoch: 22 [29184/48700]	Loss: 0.6592	LR: 0.020000
Training Epoch: 22 [29440/48700]	Loss: 0.5051	LR: 0.020000
Training Epoch: 22 [29696/48700]	Loss: 0.6884	LR: 0.020000
Training Epoch: 22 [29952/48700]	Loss: 0.5882	LR: 0.020000
Training Epoch: 22 [30208/48700]	Loss: 0.5546	LR: 0.020000
Training Epoch: 22 [30464/48700]	Loss: 0.6013	LR: 0.020000
Training Epoch: 22 [30720/48700]	Loss: 0.5915	LR: 0.020000
Training Epoch: 22 [30976/48700]	Loss: 0.5696	LR: 0.020000
Training Epoch: 22 [31232/48700]	Loss: 0.5992	LR: 0.020000
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Training Epoch: 22 [31744/48700]	Loss: 0.5474	LR: 0.020000
Training Epoch: 22 [32000/48700]	Loss: 0.4906	LR: 0.020000
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Training Epoch: 22 [32768/48700]	Loss: 0.6022	LR: 0.020000
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Training Epoch: 22 [33536/48700]	Loss: 0.6510	LR: 0.020000
Training Epoch: 22 [33792/48700]	Loss: 0.6432	LR: 0.020000
Training Epoch: 22 [34048/48700]	Loss: 0.5781	LR: 0.020000
Training Epoch: 22 [34304/48700]	Loss: 0.6715	LR: 0.020000
Training Epoch: 22 [34560/48700]	Loss: 0.7160	LR: 0.020000
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Training Epoch: 22 [35328/48700]	Loss: 0.5482	LR: 0.020000
Training Epoch: 22 [35584/48700]	Loss: 0.6313	LR: 0.020000
Training Epoch: 22 [35840/48700]	Loss: 0.6954	LR: 0.020000
Training Epoch: 22 [36096/48700]	Loss: 0.5421	LR: 0.020000
Training Epoch: 22 [36352/48700]	Loss: 0.5984	LR: 0.020000
Training Epoch: 22 [36608/48700]	Loss: 0.5040	LR: 0.020000
Training Epoch: 22 [36864/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 22 [37120/48700]	Loss: 0.6199	LR: 0.020000
Training Epoch: 22 [37376/48700]	Loss: 0.5828	LR: 0.020000
Training Epoch: 22 [37632/48700]	Loss: 0.6701	LR: 0.020000
Training Epoch: 22 [37888/48700]	Loss: 0.5789	LR: 0.020000
Training Epoch: 22 [38144/48700]	Loss: 0.6148	LR: 0.020000
Training Epoch: 22 [38400/48700]	Loss: 0.5512	LR: 0.020000
Training Epoch: 22 [38656/48700]	Loss: 0.5850	LR: 0.020000
Training Epoch: 22 [38912/48700]	Loss: 0.6316	LR: 0.020000
Training Epoch: 22 [39168/48700]	Loss: 0.5513	LR: 0.020000
Training Epoch: 22 [39424/48700]	Loss: 0.5857	LR: 0.020000
Training Epoch: 22 [39680/48700]	Loss: 0.5212	LR: 0.020000
Training Epoch: 22 [39936/48700]	Loss: 0.5756	LR: 0.020000
Training Epoch: 22 [40192/48700]	Loss: 0.4923	LR: 0.020000
Training Epoch: 22 [40448/48700]	Loss: 0.6398	LR: 0.020000
Training Epoch: 22 [40704/48700]	Loss: 0.5281	LR: 0.020000
Training Epoch: 22 [40960/48700]	Loss: 0.6155	LR: 0.020000
Training Epoch: 22 [41216/48700]	Loss: 0.6086	LR: 0.020000
Training Epoch: 22 [41472/48700]	Loss: 0.6702	LR: 0.020000
Training Epoch: 22 [41728/48700]	Loss: 0.4699	LR: 0.020000
Training Epoch: 22 [41984/48700]	Loss: 0.5964	LR: 0.020000
Training Epoch: 22 [42240/48700]	Loss: 0.5988	LR: 0.020000
Training Epoch: 22 [42496/48700]	Loss: 0.5262	LR: 0.020000
Training Epoch: 22 [42752/48700]	Loss: 0.5596	LR: 0.020000
Training Epoch: 22 [43008/48700]	Loss: 0.5262	LR: 0.020000
Training Epoch: 22 [43264/48700]	Loss: 0.7064	LR: 0.020000
Training Epoch: 22 [43520/48700]	Loss: 0.6037	LR: 0.020000
Training Epoch: 22 [43776/48700]	Loss: 0.6379	LR: 0.020000
Training Epoch: 22 [44032/48700]	Loss: 0.5994	LR: 0.020000
Training Epoch: 22 [44288/48700]	Loss: 0.6263	LR: 0.020000
Training Epoch: 22 [44544/48700]	Loss: 0.6870	LR: 0.020000
Training Epoch: 22 [44800/48700]	Loss: 0.4432	LR: 0.020000
Training Epoch: 22 [45056/48700]	Loss: 0.5234	LR: 0.020000
Training Epoch: 22 [45312/48700]	Loss: 0.5690	LR: 0.020000
Training Epoch: 22 [45568/48700]	Loss: 0.5656	LR: 0.020000
Training Epoch: 22 [45824/48700]	Loss: 0.6458	LR: 0.020000
Training Epoch: 22 [46080/48700]	Loss: 0.6728	LR: 0.020000
Training Epoch: 22 [46336/48700]	Loss: 0.6343	LR: 0.020000
Training Epoch: 22 [46592/48700]	Loss: 0.5963	LR: 0.020000
Training Epoch: 22 [46848/48700]	Loss: 0.5803	LR: 0.020000
Training Epoch: 22 [47104/48700]	Loss: 0.5377	LR: 0.020000
Training Epoch: 22 [47360/48700]	Loss: 0.5660	LR: 0.020000
Training Epoch: 22 [47616/48700]	Loss: 0.7000	LR: 0.020000
Training Epoch: 22 [47872/48700]	Loss: 0.5295	LR: 0.020000
Training Epoch: 22 [48128/48700]	Loss: 0.6575	LR: 0.020000
Training Epoch: 22 [48384/48700]	Loss: 0.5959	LR: 0.020000
Training Epoch: 22 [48640/48700]	Loss: 0.5683	LR: 0.020000
Training Epoch: 22 [48700/48700]	Loss: 0.6973	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5816, Train Accuracy: 0.8137
Epoch 22 training time consumed: 26.69s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0036, Accuracy: 0.7321, Time consumed:0.86s
Training Epoch: 23 [256/48700]	Loss: 0.4846	LR: 0.020000
Training Epoch: 23 [512/48700]	Loss: 0.6150	LR: 0.020000
Training Epoch: 23 [768/48700]	Loss: 0.6598	LR: 0.020000
Training Epoch: 23 [1024/48700]	Loss: 0.5686	LR: 0.020000
Training Epoch: 23 [1280/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 23 [1536/48700]	Loss: 0.5704	LR: 0.020000
Training Epoch: 23 [1792/48700]	Loss: 0.4694	LR: 0.020000
Training Epoch: 23 [2048/48700]	Loss: 0.4847	LR: 0.020000
Training Epoch: 23 [2304/48700]	Loss: 0.5685	LR: 0.020000
Training Epoch: 23 [2560/48700]	Loss: 0.5592	LR: 0.020000
Training Epoch: 23 [2816/48700]	Loss: 0.5419	LR: 0.020000
Training Epoch: 23 [3072/48700]	Loss: 0.5616	LR: 0.020000
Training Epoch: 23 [3328/48700]	Loss: 0.5440	LR: 0.020000
Training Epoch: 23 [3584/48700]	Loss: 0.5591	LR: 0.020000
Training Epoch: 23 [3840/48700]	Loss: 0.4602	LR: 0.020000
Training Epoch: 23 [4096/48700]	Loss: 0.5716	LR: 0.020000
Training Epoch: 23 [4352/48700]	Loss: 0.5670	LR: 0.020000
Training Epoch: 23 [4608/48700]	Loss: 0.3928	LR: 0.020000
Training Epoch: 23 [4864/48700]	Loss: 0.5120	LR: 0.020000
Training Epoch: 23 [5120/48700]	Loss: 0.5256	LR: 0.020000
Training Epoch: 23 [5376/48700]	Loss: 0.6242	LR: 0.020000
Training Epoch: 23 [5632/48700]	Loss: 0.5610	LR: 0.020000
Training Epoch: 23 [5888/48700]	Loss: 0.6664	LR: 0.020000
Training Epoch: 23 [6144/48700]	Loss: 0.5374	LR: 0.020000
Training Epoch: 23 [6400/48700]	Loss: 0.5141	LR: 0.020000
Training Epoch: 23 [6656/48700]	Loss: 0.6040	LR: 0.020000
Training Epoch: 23 [6912/48700]	Loss: 0.5851	LR: 0.020000
Training Epoch: 23 [7168/48700]	Loss: 0.5248	LR: 0.020000
Training Epoch: 23 [7424/48700]	Loss: 0.6282	LR: 0.020000
Training Epoch: 23 [7680/48700]	Loss: 0.5326	LR: 0.020000
Training Epoch: 23 [7936/48700]	Loss: 0.5116	LR: 0.020000
Training Epoch: 23 [8192/48700]	Loss: 0.5168	LR: 0.020000
Training Epoch: 23 [8448/48700]	Loss: 0.4872	LR: 0.020000
Training Epoch: 23 [8704/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 23 [8960/48700]	Loss: 0.5416	LR: 0.020000
Training Epoch: 23 [9216/48700]	Loss: 0.4430	LR: 0.020000
Training Epoch: 23 [9472/48700]	Loss: 0.6377	LR: 0.020000
Training Epoch: 23 [9728/48700]	Loss: 0.6070	LR: 0.020000
Training Epoch: 23 [9984/48700]	Loss: 0.5458	LR: 0.020000
Training Epoch: 23 [10240/48700]	Loss: 0.5203	LR: 0.020000
Training Epoch: 23 [10496/48700]	Loss: 0.5537	LR: 0.020000
Training Epoch: 23 [10752/48700]	Loss: 0.5658	LR: 0.020000
Training Epoch: 23 [11008/48700]	Loss: 0.3848	LR: 0.020000
Training Epoch: 23 [11264/48700]	Loss: 0.6198	LR: 0.020000
Training Epoch: 23 [11520/48700]	Loss: 0.5533	LR: 0.020000
Training Epoch: 23 [11776/48700]	Loss: 0.6752	LR: 0.020000
Training Epoch: 23 [12032/48700]	Loss: 0.7299	LR: 0.020000
Training Epoch: 23 [12288/48700]	Loss: 0.4933	LR: 0.020000
Training Epoch: 23 [12544/48700]	Loss: 0.5516	LR: 0.020000
Training Epoch: 23 [12800/48700]	Loss: 0.5311	LR: 0.020000
Training Epoch: 23 [13056/48700]	Loss: 0.4956	LR: 0.020000
Training Epoch: 23 [13312/48700]	Loss: 0.6562	LR: 0.020000
Training Epoch: 23 [13568/48700]	Loss: 0.4419	LR: 0.020000
Training Epoch: 23 [13824/48700]	Loss: 0.5575	LR: 0.020000
Training Epoch: 23 [14080/48700]	Loss: 0.5726	LR: 0.020000
Training Epoch: 23 [14336/48700]	Loss: 0.5080	LR: 0.020000
Training Epoch: 23 [14592/48700]	Loss: 0.5463	LR: 0.020000
Training Epoch: 23 [14848/48700]	Loss: 0.5791	LR: 0.020000
Training Epoch: 23 [15104/48700]	Loss: 0.5001	LR: 0.020000
Training Epoch: 23 [15360/48700]	Loss: 0.6659	LR: 0.020000
Training Epoch: 23 [15616/48700]	Loss: 0.6084	LR: 0.020000
Training Epoch: 23 [15872/48700]	Loss: 0.6577	LR: 0.020000
Training Epoch: 23 [16128/48700]	Loss: 0.5764	LR: 0.020000
Training Epoch: 23 [16384/48700]	Loss: 0.6041	LR: 0.020000
Training Epoch: 23 [16640/48700]	Loss: 0.5582	LR: 0.020000
Training Epoch: 23 [16896/48700]	Loss: 0.5331	LR: 0.020000
Training Epoch: 23 [17152/48700]	Loss: 0.4738	LR: 0.020000
Training Epoch: 23 [17408/48700]	Loss: 0.5642	LR: 0.020000
Training Epoch: 23 [17664/48700]	Loss: 0.6242	LR: 0.020000
Training Epoch: 23 [17920/48700]	Loss: 0.6345	LR: 0.020000
Training Epoch: 23 [18176/48700]	Loss: 0.5868	LR: 0.020000
Training Epoch: 23 [18432/48700]	Loss: 0.6007	LR: 0.020000
Training Epoch: 23 [18688/48700]	Loss: 0.7105	LR: 0.020000
Training Epoch: 23 [18944/48700]	Loss: 0.5409	LR: 0.020000
Training Epoch: 23 [19200/48700]	Loss: 0.5543	LR: 0.020000
Training Epoch: 23 [19456/48700]	Loss: 0.5627	LR: 0.020000
Training Epoch: 23 [19712/48700]	Loss: 0.5238	LR: 0.020000
Training Epoch: 23 [19968/48700]	Loss: 0.6216	LR: 0.020000
Training Epoch: 23 [20224/48700]	Loss: 0.6350	LR: 0.020000
Training Epoch: 23 [20480/48700]	Loss: 0.5154	LR: 0.020000
Training Epoch: 23 [20736/48700]	Loss: 0.5159	LR: 0.020000
Training Epoch: 23 [20992/48700]	Loss: 0.5129	LR: 0.020000
Training Epoch: 23 [21248/48700]	Loss: 0.5193	LR: 0.020000
Training Epoch: 23 [21504/48700]	Loss: 0.5645	LR: 0.020000
Training Epoch: 23 [21760/48700]	Loss: 0.4971	LR: 0.020000
Training Epoch: 23 [22016/48700]	Loss: 0.5129	LR: 0.020000
Training Epoch: 23 [22272/48700]	Loss: 0.5871	LR: 0.020000
Training Epoch: 23 [22528/48700]	Loss: 0.5338	LR: 0.020000
Training Epoch: 23 [22784/48700]	Loss: 0.5878	LR: 0.020000
Training Epoch: 23 [23040/48700]	Loss: 0.5921	LR: 0.020000
Training Epoch: 23 [23296/48700]	Loss: 0.6606	LR: 0.020000
Training Epoch: 23 [23552/48700]	Loss: 0.5402	LR: 0.020000
Training Epoch: 23 [23808/48700]	Loss: 0.5574	LR: 0.020000
Training Epoch: 23 [24064/48700]	Loss: 0.6636	LR: 0.020000
Training Epoch: 23 [24320/48700]	Loss: 0.5484	LR: 0.020000
Training Epoch: 23 [24576/48700]	Loss: 0.5624	LR: 0.020000
Training Epoch: 23 [24832/48700]	Loss: 0.5826	LR: 0.020000
Training Epoch: 23 [25088/48700]	Loss: 0.4533	LR: 0.020000
Training Epoch: 23 [25344/48700]	Loss: 0.4959	LR: 0.020000
Training Epoch: 23 [25600/48700]	Loss: 0.6590	LR: 0.020000
Training Epoch: 23 [25856/48700]	Loss: 0.5310	LR: 0.020000
Training Epoch: 23 [26112/48700]	Loss: 0.6607	LR: 0.020000
Training Epoch: 23 [26368/48700]	Loss: 0.7301	LR: 0.020000
Training Epoch: 23 [26624/48700]	Loss: 0.5850	LR: 0.020000
Training Epoch: 23 [26880/48700]	Loss: 0.6199	LR: 0.020000
Training Epoch: 23 [27136/48700]	Loss: 0.5727	LR: 0.020000
Training Epoch: 23 [27392/48700]	Loss: 0.5388	LR: 0.020000
Training Epoch: 23 [27648/48700]	Loss: 0.5063	LR: 0.020000
Training Epoch: 23 [27904/48700]	Loss: 0.5577	LR: 0.020000
Training Epoch: 23 [28160/48700]	Loss: 0.5225	LR: 0.020000
Training Epoch: 23 [28416/48700]	Loss: 0.4991	LR: 0.020000
Training Epoch: 23 [28672/48700]	Loss: 0.4825	LR: 0.020000
Training Epoch: 23 [28928/48700]	Loss: 0.6550	LR: 0.020000
Training Epoch: 23 [29184/48700]	Loss: 0.5014	LR: 0.020000
Training Epoch: 23 [29440/48700]	Loss: 0.5968	LR: 0.020000
Training Epoch: 23 [29696/48700]	Loss: 0.5368	LR: 0.020000
Training Epoch: 23 [29952/48700]	Loss: 0.6447	LR: 0.020000
Training Epoch: 23 [30208/48700]	Loss: 0.5895	LR: 0.020000
Training Epoch: 23 [30464/48700]	Loss: 0.6381	LR: 0.020000
Training Epoch: 23 [30720/48700]	Loss: 0.6645	LR: 0.020000
Training Epoch: 23 [30976/48700]	Loss: 0.6730	LR: 0.020000
Training Epoch: 23 [31232/48700]	Loss: 0.4986	LR: 0.020000
Training Epoch: 23 [31488/48700]	Loss: 0.4668	LR: 0.020000
Training Epoch: 23 [31744/48700]	Loss: 0.6498	LR: 0.020000
Training Epoch: 23 [32000/48700]	Loss: 0.6022	LR: 0.020000
Training Epoch: 23 [32256/48700]	Loss: 0.5943	LR: 0.020000
Training Epoch: 23 [32512/48700]	Loss: 0.5755	LR: 0.020000
Training Epoch: 23 [32768/48700]	Loss: 0.6187	LR: 0.020000
Training Epoch: 23 [33024/48700]	Loss: 0.5879	LR: 0.020000
Training Epoch: 23 [33280/48700]	Loss: 0.6066	LR: 0.020000
Training Epoch: 23 [33536/48700]	Loss: 0.5194	LR: 0.020000
Training Epoch: 23 [33792/48700]	Loss: 0.5201	LR: 0.020000
Training Epoch: 23 [34048/48700]	Loss: 0.5661	LR: 0.020000
Training Epoch: 23 [34304/48700]	Loss: 0.5784	LR: 0.020000
Training Epoch: 23 [34560/48700]	Loss: 0.5857	LR: 0.020000
Training Epoch: 23 [34816/48700]	Loss: 0.6279	LR: 0.020000
Training Epoch: 23 [35072/48700]	Loss: 0.5859	LR: 0.020000
Training Epoch: 23 [35328/48700]	Loss: 0.6353	LR: 0.020000
Training Epoch: 23 [35584/48700]	Loss: 0.5365	LR: 0.020000
Training Epoch: 23 [35840/48700]	Loss: 0.6459	LR: 0.020000
Training Epoch: 23 [36096/48700]	Loss: 0.6767	LR: 0.020000
Training Epoch: 23 [36352/48700]	Loss: 0.6412	LR: 0.020000
Training Epoch: 23 [36608/48700]	Loss: 0.6069	LR: 0.020000
Training Epoch: 23 [36864/48700]	Loss: 0.5369	LR: 0.020000
Training Epoch: 23 [37120/48700]	Loss: 0.5220	LR: 0.020000
Training Epoch: 23 [37376/48700]	Loss: 0.6419	LR: 0.020000
Training Epoch: 23 [37632/48700]	Loss: 0.6037	LR: 0.020000
Training Epoch: 23 [37888/48700]	Loss: 0.6383	LR: 0.020000
Training Epoch: 23 [38144/48700]	Loss: 0.5034	LR: 0.020000
Training Epoch: 23 [38400/48700]	Loss: 0.5873	LR: 0.020000
Training Epoch: 23 [38656/48700]	Loss: 0.4792	LR: 0.020000
Training Epoch: 23 [38912/48700]	Loss: 0.6224	LR: 0.020000
Training Epoch: 23 [39168/48700]	Loss: 0.4588	LR: 0.020000
Training Epoch: 23 [39424/48700]	Loss: 0.6019	LR: 0.020000
Training Epoch: 23 [39680/48700]	Loss: 0.5677	LR: 0.020000
Training Epoch: 23 [39936/48700]	Loss: 0.5203	LR: 0.020000
Training Epoch: 23 [40192/48700]	Loss: 0.5814	LR: 0.020000
Training Epoch: 23 [40448/48700]	Loss: 0.4741	LR: 0.020000
Training Epoch: 23 [40704/48700]	Loss: 0.5466	LR: 0.020000
Training Epoch: 23 [40960/48700]	Loss: 0.6205	LR: 0.020000
Training Epoch: 23 [41216/48700]	Loss: 0.6223	LR: 0.020000
Training Epoch: 23 [41472/48700]	Loss: 0.5892	LR: 0.020000
Training Epoch: 23 [41728/48700]	Loss: 0.5446	LR: 0.020000
Training Epoch: 23 [41984/48700]	Loss: 0.5865	LR: 0.020000
Training Epoch: 23 [42240/48700]	Loss: 0.5301	LR: 0.020000
Training Epoch: 23 [42496/48700]	Loss: 0.5690	LR: 0.020000
Training Epoch: 23 [42752/48700]	Loss: 0.6253	LR: 0.020000
Training Epoch: 23 [43008/48700]	Loss: 0.4844	LR: 0.020000
Training Epoch: 23 [43264/48700]	Loss: 0.7272	LR: 0.020000
Training Epoch: 23 [43520/48700]	Loss: 0.5064	LR: 0.020000
Training Epoch: 23 [43776/48700]	Loss: 0.6087	LR: 0.020000
Training Epoch: 23 [44032/48700]	Loss: 0.5416	LR: 0.020000
Training Epoch: 23 [44288/48700]	Loss: 0.6565	LR: 0.020000
Training Epoch: 23 [44544/48700]	Loss: 0.5000	LR: 0.020000
Training Epoch: 23 [44800/48700]	Loss: 0.6949	LR: 0.020000
Training Epoch: 23 [45056/48700]	Loss: 0.5126	LR: 0.020000
Training Epoch: 23 [45312/48700]	Loss: 0.4989	LR: 0.020000
Training Epoch: 23 [45568/48700]	Loss: 0.5951	LR: 0.020000
Training Epoch: 23 [45824/48700]	Loss: 0.6419	LR: 0.020000
Training Epoch: 23 [46080/48700]	Loss: 0.6423	LR: 0.020000
Training Epoch: 23 [46336/48700]	Loss: 0.5795	LR: 0.020000
Training Epoch: 23 [46592/48700]	Loss: 0.7213	LR: 0.020000
Training Epoch: 23 [46848/48700]	Loss: 0.6622	LR: 0.020000
Training Epoch: 23 [47104/48700]	Loss: 0.5414	LR: 0.020000
Training Epoch: 23 [47360/48700]	Loss: 0.5562	LR: 0.020000
Training Epoch: 23 [47616/48700]	Loss: 0.6747	LR: 0.020000
Training Epoch: 23 [47872/48700]	Loss: 0.5315	LR: 0.020000
Training Epoch: 23 [48128/48700]	Loss: 0.6002	LR: 0.020000
Training Epoch: 23 [48384/48700]	Loss: 0.5803	LR: 0.020000
Training Epoch: 23 [48640/48700]	Loss: 0.5936	LR: 0.020000
Training Epoch: 23 [48700/48700]	Loss: 0.4565	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5703, Train Accuracy: 0.8165
Epoch 23 training time consumed: 26.77s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0035, Accuracy: 0.7377, Time consumed:0.93s
Training Epoch: 24 [256/48700]	Loss: 0.5039	LR: 0.020000
Training Epoch: 24 [512/48700]	Loss: 0.5635	LR: 0.020000
Training Epoch: 24 [768/48700]	Loss: 0.5241	LR: 0.020000
Training Epoch: 24 [1024/48700]	Loss: 0.5894	LR: 0.020000
Training Epoch: 24 [1280/48700]	Loss: 0.5917	LR: 0.020000
Training Epoch: 24 [1536/48700]	Loss: 0.5780	LR: 0.020000
Training Epoch: 24 [1792/48700]	Loss: 0.5768	LR: 0.020000
Training Epoch: 24 [2048/48700]	Loss: 0.5194	LR: 0.020000
Training Epoch: 24 [2304/48700]	Loss: 0.4310	LR: 0.020000
Training Epoch: 24 [2560/48700]	Loss: 0.5327	LR: 0.020000
Training Epoch: 24 [2816/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 24 [3072/48700]	Loss: 0.5487	LR: 0.020000
Training Epoch: 24 [3328/48700]	Loss: 0.6743	LR: 0.020000
Training Epoch: 24 [3584/48700]	Loss: 0.5971	LR: 0.020000
Training Epoch: 24 [3840/48700]	Loss: 0.5007	LR: 0.020000
Training Epoch: 24 [4096/48700]	Loss: 0.5746	LR: 0.020000
Training Epoch: 24 [4352/48700]	Loss: 0.4377	LR: 0.020000
Training Epoch: 24 [4608/48700]	Loss: 0.5906	LR: 0.020000
Training Epoch: 24 [4864/48700]	Loss: 0.4738	LR: 0.020000
Training Epoch: 24 [5120/48700]	Loss: 0.5836	LR: 0.020000
Training Epoch: 24 [5376/48700]	Loss: 0.4995	LR: 0.020000
Training Epoch: 24 [5632/48700]	Loss: 0.5656	LR: 0.020000
Training Epoch: 24 [5888/48700]	Loss: 0.4948	LR: 0.020000
Training Epoch: 24 [6144/48700]	Loss: 0.4891	LR: 0.020000
Training Epoch: 24 [6400/48700]	Loss: 0.5582	LR: 0.020000
Training Epoch: 24 [6656/48700]	Loss: 0.6061	LR: 0.020000
Training Epoch: 24 [6912/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 24 [7168/48700]	Loss: 0.4790	LR: 0.020000
Training Epoch: 24 [7424/48700]	Loss: 0.5657	LR: 0.020000
Training Epoch: 24 [7680/48700]	Loss: 0.5283	LR: 0.020000
Training Epoch: 24 [7936/48700]	Loss: 0.5305	LR: 0.020000
Training Epoch: 24 [8192/48700]	Loss: 0.5540	LR: 0.020000
Training Epoch: 24 [8448/48700]	Loss: 0.6434	LR: 0.020000
Training Epoch: 24 [8704/48700]	Loss: 0.6003	LR: 0.020000
Training Epoch: 24 [8960/48700]	Loss: 0.4778	LR: 0.020000
Training Epoch: 24 [9216/48700]	Loss: 0.5512	LR: 0.020000
Training Epoch: 24 [9472/48700]	Loss: 0.5961	LR: 0.020000
Training Epoch: 24 [9728/48700]	Loss: 0.5402	LR: 0.020000
Training Epoch: 24 [9984/48700]	Loss: 0.7138	LR: 0.020000
Training Epoch: 24 [10240/48700]	Loss: 0.5590	LR: 0.020000
Training Epoch: 24 [10496/48700]	Loss: 0.5222	LR: 0.020000
Training Epoch: 24 [10752/48700]	Loss: 0.5955	LR: 0.020000
Training Epoch: 24 [11008/48700]	Loss: 0.5195	LR: 0.020000
Training Epoch: 24 [11264/48700]	Loss: 0.5704	LR: 0.020000
Training Epoch: 24 [11520/48700]	Loss: 0.4853	LR: 0.020000
Training Epoch: 24 [11776/48700]	Loss: 0.6262	LR: 0.020000
Training Epoch: 24 [12032/48700]	Loss: 0.5801	LR: 0.020000
Training Epoch: 24 [12288/48700]	Loss: 0.5282	LR: 0.020000
Training Epoch: 24 [12544/48700]	Loss: 0.5100	LR: 0.020000
Training Epoch: 24 [12800/48700]	Loss: 0.6804	LR: 0.020000
Training Epoch: 24 [13056/48700]	Loss: 0.5693	LR: 0.020000
Training Epoch: 24 [13312/48700]	Loss: 0.5482	LR: 0.020000
Training Epoch: 24 [13568/48700]	Loss: 0.5441	LR: 0.020000
Training Epoch: 24 [13824/48700]	Loss: 0.5142	LR: 0.020000
Training Epoch: 24 [14080/48700]	Loss: 0.5400	LR: 0.020000
Training Epoch: 24 [14336/48700]	Loss: 0.6456	LR: 0.020000
Training Epoch: 24 [14592/48700]	Loss: 0.5206	LR: 0.020000
Training Epoch: 24 [14848/48700]	Loss: 0.4930	LR: 0.020000
Training Epoch: 24 [15104/48700]	Loss: 0.5136	LR: 0.020000
Training Epoch: 24 [15360/48700]	Loss: 0.5042	LR: 0.020000
Training Epoch: 24 [15616/48700]	Loss: 0.5473	LR: 0.020000
Training Epoch: 24 [15872/48700]	Loss: 0.6277	LR: 0.020000
Training Epoch: 24 [16128/48700]	Loss: 0.6035	LR: 0.020000
Training Epoch: 24 [16384/48700]	Loss: 0.6042	LR: 0.020000
Training Epoch: 24 [16640/48700]	Loss: 0.4806	LR: 0.020000
Training Epoch: 24 [16896/48700]	Loss: 0.5301	LR: 0.020000
Training Epoch: 24 [17152/48700]	Loss: 0.5360	LR: 0.020000
Training Epoch: 24 [17408/48700]	Loss: 0.5278	LR: 0.020000
Training Epoch: 24 [17664/48700]	Loss: 0.5250	LR: 0.020000
Training Epoch: 24 [17920/48700]	Loss: 0.5525	LR: 0.020000
Training Epoch: 24 [18176/48700]	Loss: 0.5099	LR: 0.020000
Training Epoch: 24 [18432/48700]	Loss: 0.5354	LR: 0.020000
Training Epoch: 24 [18688/48700]	Loss: 0.5122	LR: 0.020000
Training Epoch: 24 [18944/48700]	Loss: 0.5264	LR: 0.020000
Training Epoch: 24 [19200/48700]	Loss: 0.4724	LR: 0.020000
Training Epoch: 24 [19456/48700]	Loss: 0.4935	LR: 0.020000
Training Epoch: 24 [19712/48700]	Loss: 0.5955	LR: 0.020000
Training Epoch: 24 [19968/48700]	Loss: 0.6233	LR: 0.020000
Training Epoch: 24 [20224/48700]	Loss: 0.5884	LR: 0.020000
Training Epoch: 24 [20480/48700]	Loss: 0.6645	LR: 0.020000
Training Epoch: 24 [20736/48700]	Loss: 0.5877	LR: 0.020000
Training Epoch: 24 [20992/48700]	Loss: 0.5669	LR: 0.020000
Training Epoch: 24 [21248/48700]	Loss: 0.5508	LR: 0.020000
Training Epoch: 24 [21504/48700]	Loss: 0.5822	LR: 0.020000
Training Epoch: 24 [21760/48700]	Loss: 0.5123	LR: 0.020000
Training Epoch: 24 [22016/48700]	Loss: 0.5037	LR: 0.020000
Training Epoch: 24 [22272/48700]	Loss: 0.5542	LR: 0.020000
Training Epoch: 24 [22528/48700]	Loss: 0.5011	LR: 0.020000
Training Epoch: 24 [22784/48700]	Loss: 0.6081	LR: 0.020000
Training Epoch: 24 [23040/48700]	Loss: 0.4649	LR: 0.020000
Training Epoch: 24 [23296/48700]	Loss: 0.5719	LR: 0.020000
Training Epoch: 24 [23552/48700]	Loss: 0.6369	LR: 0.020000
Training Epoch: 24 [23808/48700]	Loss: 0.6643	LR: 0.020000
Training Epoch: 24 [24064/48700]	Loss: 0.4313	LR: 0.020000
Training Epoch: 24 [24320/48700]	Loss: 0.5670	LR: 0.020000
Training Epoch: 24 [24576/48700]	Loss: 0.5325	LR: 0.020000
Training Epoch: 24 [24832/48700]	Loss: 0.5581	LR: 0.020000
Training Epoch: 24 [25088/48700]	Loss: 0.5482	LR: 0.020000
Training Epoch: 24 [25344/48700]	Loss: 0.6314	LR: 0.020000
Training Epoch: 24 [25600/48700]	Loss: 0.4782	LR: 0.020000
Training Epoch: 24 [25856/48700]	Loss: 0.4837	LR: 0.020000
Training Epoch: 24 [26112/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 24 [26368/48700]	Loss: 0.5631	LR: 0.020000
Training Epoch: 24 [26624/48700]	Loss: 0.5171	LR: 0.020000
Training Epoch: 24 [26880/48700]	Loss: 0.4896	LR: 0.020000
Training Epoch: 24 [27136/48700]	Loss: 0.6300	LR: 0.020000
Training Epoch: 24 [27392/48700]	Loss: 0.5799	LR: 0.020000
Training Epoch: 24 [27648/48700]	Loss: 0.4778	LR: 0.020000
Training Epoch: 24 [27904/48700]	Loss: 0.6104	LR: 0.020000
Training Epoch: 24 [28160/48700]	Loss: 0.5478	LR: 0.020000
Training Epoch: 24 [28416/48700]	Loss: 0.4639	LR: 0.020000
Training Epoch: 24 [28672/48700]	Loss: 0.6076	LR: 0.020000
Training Epoch: 24 [28928/48700]	Loss: 0.6014	LR: 0.020000
Training Epoch: 24 [29184/48700]	Loss: 0.6575	LR: 0.020000
Training Epoch: 24 [29440/48700]	Loss: 0.5821	LR: 0.020000
Training Epoch: 24 [29696/48700]	Loss: 0.5819	LR: 0.020000
Training Epoch: 24 [29952/48700]	Loss: 0.6252	LR: 0.020000
Training Epoch: 24 [30208/48700]	Loss: 0.5284	LR: 0.020000
Training Epoch: 24 [30464/48700]	Loss: 0.6534	LR: 0.020000
Training Epoch: 24 [30720/48700]	Loss: 0.5214	LR: 0.020000
Training Epoch: 24 [30976/48700]	Loss: 0.5442	LR: 0.020000
Training Epoch: 24 [31232/48700]	Loss: 0.6025	LR: 0.020000
Training Epoch: 24 [31488/48700]	Loss: 0.4527	LR: 0.020000
Training Epoch: 24 [31744/48700]	Loss: 0.4575	LR: 0.020000
Training Epoch: 24 [32000/48700]	Loss: 0.5505	LR: 0.020000
Training Epoch: 24 [32256/48700]	Loss: 0.4493	LR: 0.020000
Training Epoch: 24 [32512/48700]	Loss: 0.5281	LR: 0.020000
Training Epoch: 24 [32768/48700]	Loss: 0.7134	LR: 0.020000
Training Epoch: 24 [33024/48700]	Loss: 0.6044	LR: 0.020000
Training Epoch: 24 [33280/48700]	Loss: 0.4903	LR: 0.020000
Training Epoch: 24 [33536/48700]	Loss: 0.6369	LR: 0.020000
Training Epoch: 24 [33792/48700]	Loss: 0.5233	LR: 0.020000
Training Epoch: 24 [34048/48700]	Loss: 0.5671	LR: 0.020000
Training Epoch: 24 [34304/48700]	Loss: 0.5172	LR: 0.020000
Training Epoch: 24 [34560/48700]	Loss: 0.4429	LR: 0.020000
Training Epoch: 24 [34816/48700]	Loss: 0.5032	LR: 0.020000
Training Epoch: 24 [35072/48700]	Loss: 0.4380	LR: 0.020000
Training Epoch: 24 [35328/48700]	Loss: 0.5082	LR: 0.020000
Training Epoch: 24 [35584/48700]	Loss: 0.5014	LR: 0.020000
Training Epoch: 24 [35840/48700]	Loss: 0.6423	LR: 0.020000
Training Epoch: 24 [36096/48700]	Loss: 0.4743	LR: 0.020000
Training Epoch: 24 [36352/48700]	Loss: 0.6276	LR: 0.020000
Training Epoch: 24 [36608/48700]	Loss: 0.6462	LR: 0.020000
Training Epoch: 24 [36864/48700]	Loss: 0.5373	LR: 0.020000
Training Epoch: 24 [37120/48700]	Loss: 0.5067	LR: 0.020000
Training Epoch: 24 [37376/48700]	Loss: 0.5618	LR: 0.020000
Training Epoch: 24 [37632/48700]	Loss: 0.6223	LR: 0.020000
Training Epoch: 24 [37888/48700]	Loss: 0.6214	LR: 0.020000
Training Epoch: 24 [38144/48700]	Loss: 0.4939	LR: 0.020000
Training Epoch: 24 [38400/48700]	Loss: 0.4644	LR: 0.020000
Training Epoch: 24 [38656/48700]	Loss: 0.5917	LR: 0.020000
Training Epoch: 24 [38912/48700]	Loss: 0.4830	LR: 0.020000
Training Epoch: 24 [39168/48700]	Loss: 0.5572	LR: 0.020000
Training Epoch: 24 [39424/48700]	Loss: 0.5811	LR: 0.020000
Training Epoch: 24 [39680/48700]	Loss: 0.5726	LR: 0.020000
Training Epoch: 24 [39936/48700]	Loss: 0.5776	LR: 0.020000
Training Epoch: 24 [40192/48700]	Loss: 0.5212	LR: 0.020000
Training Epoch: 24 [40448/48700]	Loss: 0.4384	LR: 0.020000
Training Epoch: 24 [40704/48700]	Loss: 0.6960	LR: 0.020000
Training Epoch: 24 [40960/48700]	Loss: 0.6162	LR: 0.020000
Training Epoch: 24 [41216/48700]	Loss: 0.5379	LR: 0.020000
Training Epoch: 24 [41472/48700]	Loss: 0.5509	LR: 0.020000
Training Epoch: 24 [41728/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 24 [41984/48700]	Loss: 0.6357	LR: 0.020000
Training Epoch: 24 [42240/48700]	Loss: 0.5686	LR: 0.020000
Training Epoch: 24 [42496/48700]	Loss: 0.5376	LR: 0.020000
Training Epoch: 24 [42752/48700]	Loss: 0.5637	LR: 0.020000
Training Epoch: 24 [43008/48700]	Loss: 0.5876	LR: 0.020000
Training Epoch: 24 [43264/48700]	Loss: 0.6014	LR: 0.020000
Training Epoch: 24 [43520/48700]	Loss: 0.6066	LR: 0.020000
Training Epoch: 24 [43776/48700]	Loss: 0.6229	LR: 0.020000
Training Epoch: 24 [44032/48700]	Loss: 0.5624	LR: 0.020000
Training Epoch: 24 [44288/48700]	Loss: 0.6495	LR: 0.020000
Training Epoch: 24 [44544/48700]	Loss: 0.5875	LR: 0.020000
Training Epoch: 24 [44800/48700]	Loss: 0.5560	LR: 0.020000
Training Epoch: 24 [45056/48700]	Loss: 0.5644	LR: 0.020000
Training Epoch: 24 [45312/48700]	Loss: 0.6091	LR: 0.020000
Training Epoch: 24 [45568/48700]	Loss: 0.5439	LR: 0.020000
Training Epoch: 24 [45824/48700]	Loss: 0.5089	LR: 0.020000
Training Epoch: 24 [46080/48700]	Loss: 0.5321	LR: 0.020000
Training Epoch: 24 [46336/48700]	Loss: 0.5780	LR: 0.020000
Training Epoch: 24 [46592/48700]	Loss: 0.5312	LR: 0.020000
Training Epoch: 24 [46848/48700]	Loss: 0.5569	LR: 0.020000
Training Epoch: 24 [47104/48700]	Loss: 0.5938	LR: 0.020000
Training Epoch: 24 [47360/48700]	Loss: 0.6502	LR: 0.020000
Training Epoch: 24 [47616/48700]	Loss: 0.6010	LR: 0.020000
Training Epoch: 24 [47872/48700]	Loss: 0.6596	LR: 0.020000
Training Epoch: 24 [48128/48700]	Loss: 0.4989	LR: 0.020000
Training Epoch: 24 [48384/48700]	Loss: 0.5394	LR: 0.020000
Training Epoch: 24 [48640/48700]	Loss: 0.5048	LR: 0.020000
Training Epoch: 24 [48700/48700]	Loss: 0.6372	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5540, Train Accuracy: 0.8200
Epoch 24 training time consumed: 26.83s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0036, Accuracy: 0.7323, Time consumed:0.85s
Training Epoch: 25 [256/48700]	Loss: 0.5162	LR: 0.020000
Training Epoch: 25 [512/48700]	Loss: 0.5952	LR: 0.020000
Training Epoch: 25 [768/48700]	Loss: 0.5724	LR: 0.020000
Training Epoch: 25 [1024/48700]	Loss: 0.5926	LR: 0.020000
Training Epoch: 25 [1280/48700]	Loss: 0.5445	LR: 0.020000
Training Epoch: 25 [1536/48700]	Loss: 0.5174	LR: 0.020000
Training Epoch: 25 [1792/48700]	Loss: 0.5781	LR: 0.020000
Training Epoch: 25 [2048/48700]	Loss: 0.6218	LR: 0.020000
Training Epoch: 25 [2304/48700]	Loss: 0.5876	LR: 0.020000
Training Epoch: 25 [2560/48700]	Loss: 0.5325	LR: 0.020000
Training Epoch: 25 [2816/48700]	Loss: 0.6580	LR: 0.020000
Training Epoch: 25 [3072/48700]	Loss: 0.4502	LR: 0.020000
Training Epoch: 25 [3328/48700]	Loss: 0.5376	LR: 0.020000
Training Epoch: 25 [3584/48700]	Loss: 0.5657	LR: 0.020000
Training Epoch: 25 [3840/48700]	Loss: 0.4689	LR: 0.020000
Training Epoch: 25 [4096/48700]	Loss: 0.5567	LR: 0.020000
Training Epoch: 25 [4352/48700]	Loss: 0.4998	LR: 0.020000
Training Epoch: 25 [4608/48700]	Loss: 0.5466	LR: 0.020000
Training Epoch: 25 [4864/48700]	Loss: 0.6099	LR: 0.020000
Training Epoch: 25 [5120/48700]	Loss: 0.4918	LR: 0.020000
Training Epoch: 25 [5376/48700]	Loss: 0.5804	LR: 0.020000
Training Epoch: 25 [5632/48700]	Loss: 0.6170	LR: 0.020000
Training Epoch: 25 [5888/48700]	Loss: 0.5071	LR: 0.020000
Training Epoch: 25 [6144/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 25 [6400/48700]	Loss: 0.5613	LR: 0.020000
Training Epoch: 25 [6656/48700]	Loss: 0.4603	LR: 0.020000
Training Epoch: 25 [6912/48700]	Loss: 0.5383	LR: 0.020000
Training Epoch: 25 [7168/48700]	Loss: 0.4824	LR: 0.020000
Training Epoch: 25 [7424/48700]	Loss: 0.5398	LR: 0.020000
Training Epoch: 25 [7680/48700]	Loss: 0.5481	LR: 0.020000
Training Epoch: 25 [7936/48700]	Loss: 0.6394	LR: 0.020000
Training Epoch: 25 [8192/48700]	Loss: 0.4884	LR: 0.020000
Training Epoch: 25 [8448/48700]	Loss: 0.4687	LR: 0.020000
Training Epoch: 25 [8704/48700]	Loss: 0.4720	LR: 0.020000
Training Epoch: 25 [8960/48700]	Loss: 0.4957	LR: 0.020000
Training Epoch: 25 [9216/48700]	Loss: 0.5394	LR: 0.020000
Training Epoch: 25 [9472/48700]	Loss: 0.5334	LR: 0.020000
Training Epoch: 25 [9728/48700]	Loss: 0.5131	LR: 0.020000
Training Epoch: 25 [9984/48700]	Loss: 0.4419	LR: 0.020000
Training Epoch: 25 [10240/48700]	Loss: 0.4644	LR: 0.020000
Training Epoch: 25 [10496/48700]	Loss: 0.5499	LR: 0.020000
Training Epoch: 25 [10752/48700]	Loss: 0.5261	LR: 0.020000
Training Epoch: 25 [11008/48700]	Loss: 0.4733	LR: 0.020000
Training Epoch: 25 [11264/48700]	Loss: 0.4933	LR: 0.020000
Training Epoch: 25 [11520/48700]	Loss: 0.4475	LR: 0.020000
Training Epoch: 25 [11776/48700]	Loss: 0.6102	LR: 0.020000
Training Epoch: 25 [12032/48700]	Loss: 0.5495	LR: 0.020000
Training Epoch: 25 [12288/48700]	Loss: 0.5919	LR: 0.020000
Training Epoch: 25 [12544/48700]	Loss: 0.4732	LR: 0.020000
Training Epoch: 25 [12800/48700]	Loss: 0.5824	LR: 0.020000
Training Epoch: 25 [13056/48700]	Loss: 0.5338	LR: 0.020000
Training Epoch: 25 [13312/48700]	Loss: 0.5547	LR: 0.020000
Training Epoch: 25 [13568/48700]	Loss: 0.5381	LR: 0.020000
Training Epoch: 25 [13824/48700]	Loss: 0.4355	LR: 0.020000
Training Epoch: 25 [14080/48700]	Loss: 0.5698	LR: 0.020000
Training Epoch: 25 [14336/48700]	Loss: 0.5480	LR: 0.020000
Training Epoch: 25 [14592/48700]	Loss: 0.5757	LR: 0.020000
Training Epoch: 25 [14848/48700]	Loss: 0.5565	LR: 0.020000
Training Epoch: 25 [15104/48700]	Loss: 0.5552	LR: 0.020000
Training Epoch: 25 [15360/48700]	Loss: 0.5360	LR: 0.020000
Training Epoch: 25 [15616/48700]	Loss: 0.4310	LR: 0.020000
Training Epoch: 25 [15872/48700]	Loss: 0.4524	LR: 0.020000
Training Epoch: 25 [16128/48700]	Loss: 0.4694	LR: 0.020000
Training Epoch: 25 [16384/48700]	Loss: 0.4851	LR: 0.020000
Training Epoch: 25 [16640/48700]	Loss: 0.4641	LR: 0.020000
Training Epoch: 25 [16896/48700]	Loss: 0.5262	LR: 0.020000
Training Epoch: 25 [17152/48700]	Loss: 0.5844	LR: 0.020000
Training Epoch: 25 [17408/48700]	Loss: 0.5417	LR: 0.020000
Training Epoch: 25 [17664/48700]	Loss: 0.4234	LR: 0.020000
Training Epoch: 25 [17920/48700]	Loss: 0.6617	LR: 0.020000
Training Epoch: 25 [18176/48700]	Loss: 0.5948	LR: 0.020000
Training Epoch: 25 [18432/48700]	Loss: 0.5211	LR: 0.020000
Training Epoch: 25 [18688/48700]	Loss: 0.5229	LR: 0.020000
Training Epoch: 25 [18944/48700]	Loss: 0.5386	LR: 0.020000
Training Epoch: 25 [19200/48700]	Loss: 0.5969	LR: 0.020000
Training Epoch: 25 [19456/48700]	Loss: 0.5730	LR: 0.020000
Training Epoch: 25 [19712/48700]	Loss: 0.4646	LR: 0.020000
Training Epoch: 25 [19968/48700]	Loss: 0.5407	LR: 0.020000
Training Epoch: 25 [20224/48700]	Loss: 0.4484	LR: 0.020000
Training Epoch: 25 [20480/48700]	Loss: 0.5254	LR: 0.020000
Training Epoch: 25 [20736/48700]	Loss: 0.5993	LR: 0.020000
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Training Epoch: 25 [21248/48700]	Loss: 0.5513	LR: 0.020000
Training Epoch: 25 [21504/48700]	Loss: 0.6175	LR: 0.020000
Training Epoch: 25 [21760/48700]	Loss: 0.5941	LR: 0.020000
Training Epoch: 25 [22016/48700]	Loss: 0.4630	LR: 0.020000
Training Epoch: 25 [22272/48700]	Loss: 0.6037	LR: 0.020000
Training Epoch: 25 [22528/48700]	Loss: 0.5585	LR: 0.020000
Training Epoch: 25 [22784/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 25 [23040/48700]	Loss: 0.5698	LR: 0.020000
Training Epoch: 25 [23296/48700]	Loss: 0.4752	LR: 0.020000
Training Epoch: 25 [23552/48700]	Loss: 0.5721	LR: 0.020000
Training Epoch: 25 [23808/48700]	Loss: 0.5921	LR: 0.020000
Training Epoch: 25 [24064/48700]	Loss: 0.5451	LR: 0.020000
Training Epoch: 25 [24320/48700]	Loss: 0.5879	LR: 0.020000
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Training Epoch: 25 [24832/48700]	Loss: 0.5481	LR: 0.020000
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Training Epoch: 25 [25344/48700]	Loss: 0.6138	LR: 0.020000
Training Epoch: 25 [25600/48700]	Loss: 0.5954	LR: 0.020000
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Training Epoch: 25 [26112/48700]	Loss: 0.6547	LR: 0.020000
Training Epoch: 25 [26368/48700]	Loss: 0.6106	LR: 0.020000
Training Epoch: 25 [26624/48700]	Loss: 0.4679	LR: 0.020000
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Training Epoch: 25 [27136/48700]	Loss: 0.5254	LR: 0.020000
Training Epoch: 25 [27392/48700]	Loss: 0.6676	LR: 0.020000
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Training Epoch: 25 [27904/48700]	Loss: 0.5617	LR: 0.020000
Training Epoch: 25 [28160/48700]	Loss: 0.5521	LR: 0.020000
Training Epoch: 25 [28416/48700]	Loss: 0.5420	LR: 0.020000
Training Epoch: 25 [28672/48700]	Loss: 0.5537	LR: 0.020000
Training Epoch: 25 [28928/48700]	Loss: 0.4656	LR: 0.020000
Training Epoch: 25 [29184/48700]	Loss: 0.7041	LR: 0.020000
Training Epoch: 25 [29440/48700]	Loss: 0.5908	LR: 0.020000
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Training Epoch: 25 [30464/48700]	Loss: 0.6596	LR: 0.020000
Training Epoch: 25 [30720/48700]	Loss: 0.5700	LR: 0.020000
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Training Epoch: 25 [31232/48700]	Loss: 0.6136	LR: 0.020000
Training Epoch: 25 [31488/48700]	Loss: 0.4410	LR: 0.020000
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Training Epoch: 25 [32000/48700]	Loss: 0.6041	LR: 0.020000
Training Epoch: 25 [32256/48700]	Loss: 0.6517	LR: 0.020000
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Training Epoch: 25 [35328/48700]	Loss: 0.7146	LR: 0.020000
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Training Epoch: 25 [36096/48700]	Loss: 0.6867	LR: 0.020000
Training Epoch: 25 [36352/48700]	Loss: 0.7362	LR: 0.020000
Training Epoch: 25 [36608/48700]	Loss: 0.5432	LR: 0.020000
Training Epoch: 25 [36864/48700]	Loss: 0.6495	LR: 0.020000
Training Epoch: 25 [37120/48700]	Loss: 0.5513	LR: 0.020000
Training Epoch: 25 [37376/48700]	Loss: 0.5410	LR: 0.020000
Training Epoch: 25 [37632/48700]	Loss: 0.6835	LR: 0.020000
Training Epoch: 25 [37888/48700]	Loss: 0.4678	LR: 0.020000
Training Epoch: 25 [38144/48700]	Loss: 0.5650	LR: 0.020000
Training Epoch: 25 [38400/48700]	Loss: 0.5154	LR: 0.020000
Training Epoch: 25 [38656/48700]	Loss: 0.4958	LR: 0.020000
Training Epoch: 25 [38912/48700]	Loss: 0.6688	LR: 0.020000
Training Epoch: 25 [39168/48700]	Loss: 0.5982	LR: 0.020000
Training Epoch: 25 [39424/48700]	Loss: 0.4946	LR: 0.020000
Training Epoch: 25 [39680/48700]	Loss: 0.5257	LR: 0.020000
Training Epoch: 25 [39936/48700]	Loss: 0.6836	LR: 0.020000
Training Epoch: 25 [40192/48700]	Loss: 0.4684	LR: 0.020000
Training Epoch: 25 [40448/48700]	Loss: 0.6134	LR: 0.020000
Training Epoch: 25 [40704/48700]	Loss: 0.6593	LR: 0.020000
Training Epoch: 25 [40960/48700]	Loss: 0.4990	LR: 0.020000
Training Epoch: 25 [41216/48700]	Loss: 0.5773	LR: 0.020000
Training Epoch: 25 [41472/48700]	Loss: 0.6260	LR: 0.020000
Training Epoch: 25 [41728/48700]	Loss: 0.5341	LR: 0.020000
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Training Epoch: 25 [42240/48700]	Loss: 0.5466	LR: 0.020000
Training Epoch: 25 [42496/48700]	Loss: 0.6168	LR: 0.020000
Training Epoch: 25 [42752/48700]	Loss: 0.6213	LR: 0.020000
Training Epoch: 25 [43008/48700]	Loss: 0.5381	LR: 0.020000
Training Epoch: 25 [43264/48700]	Loss: 0.5080	LR: 0.020000
Training Epoch: 25 [43520/48700]	Loss: 0.4941	LR: 0.020000
Training Epoch: 25 [43776/48700]	Loss: 0.5304	LR: 0.020000
Training Epoch: 25 [44032/48700]	Loss: 0.5407	LR: 0.020000
Training Epoch: 25 [44288/48700]	Loss: 0.4368	LR: 0.020000
Training Epoch: 25 [44544/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 25 [44800/48700]	Loss: 0.6711	LR: 0.020000
Training Epoch: 25 [45056/48700]	Loss: 0.5744	LR: 0.020000
Training Epoch: 25 [45312/48700]	Loss: 0.5804	LR: 0.020000
Training Epoch: 25 [45568/48700]	Loss: 0.5473	LR: 0.020000
Training Epoch: 25 [45824/48700]	Loss: 0.6353	LR: 0.020000
Training Epoch: 25 [46080/48700]	Loss: 0.5732	LR: 0.020000
Training Epoch: 25 [46336/48700]	Loss: 0.5312	LR: 0.020000
Training Epoch: 25 [46592/48700]	Loss: 0.5653	LR: 0.020000
Training Epoch: 25 [46848/48700]	Loss: 0.5432	LR: 0.020000
Training Epoch: 25 [47104/48700]	Loss: 0.5842	LR: 0.020000
Training Epoch: 25 [47360/48700]	Loss: 0.5823	LR: 0.020000
Training Epoch: 25 [47616/48700]	Loss: 0.7042	LR: 0.020000
Training Epoch: 25 [47872/48700]	Loss: 0.5420	LR: 0.020000
Training Epoch: 25 [48128/48700]	Loss: 0.5950	LR: 0.020000
Training Epoch: 25 [48384/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 25 [48640/48700]	Loss: 0.5482	LR: 0.020000
Training Epoch: 25 [48700/48700]	Loss: 0.7769	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5546, Train Accuracy: 0.8203
Epoch 25 training time consumed: 26.60s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0039, Accuracy: 0.7229, Time consumed:0.86s
Training Epoch: 26 [256/48700]	Loss: 0.4634	LR: 0.020000
Training Epoch: 26 [512/48700]	Loss: 0.5466	LR: 0.020000
Training Epoch: 26 [768/48700]	Loss: 0.5937	LR: 0.020000
Training Epoch: 26 [1024/48700]	Loss: 0.4115	LR: 0.020000
Training Epoch: 26 [1280/48700]	Loss: 0.5281	LR: 0.020000
Training Epoch: 26 [1536/48700]	Loss: 0.6441	LR: 0.020000
Training Epoch: 26 [1792/48700]	Loss: 0.5288	LR: 0.020000
Training Epoch: 26 [2048/48700]	Loss: 0.5523	LR: 0.020000
Training Epoch: 26 [2304/48700]	Loss: 0.5936	LR: 0.020000
Training Epoch: 26 [2560/48700]	Loss: 0.5872	LR: 0.020000
Training Epoch: 26 [2816/48700]	Loss: 0.4183	LR: 0.020000
Training Epoch: 26 [3072/48700]	Loss: 0.6034	LR: 0.020000
Training Epoch: 26 [3328/48700]	Loss: 0.4468	LR: 0.020000
Training Epoch: 26 [3584/48700]	Loss: 0.5579	LR: 0.020000
Training Epoch: 26 [3840/48700]	Loss: 0.5647	LR: 0.020000
Training Epoch: 26 [4096/48700]	Loss: 0.4424	LR: 0.020000
Training Epoch: 26 [4352/48700]	Loss: 0.4802	LR: 0.020000
Training Epoch: 26 [4608/48700]	Loss: 0.4492	LR: 0.020000
Training Epoch: 26 [4864/48700]	Loss: 0.4165	LR: 0.020000
Training Epoch: 26 [5120/48700]	Loss: 0.6236	LR: 0.020000
Training Epoch: 26 [5376/48700]	Loss: 0.4995	LR: 0.020000
Training Epoch: 26 [5632/48700]	Loss: 0.4208	LR: 0.020000
Training Epoch: 26 [5888/48700]	Loss: 0.5709	LR: 0.020000
Training Epoch: 26 [6144/48700]	Loss: 0.5308	LR: 0.020000
Training Epoch: 26 [6400/48700]	Loss: 0.5396	LR: 0.020000
Training Epoch: 26 [6656/48700]	Loss: 0.5154	LR: 0.020000
Training Epoch: 26 [6912/48700]	Loss: 0.5213	LR: 0.020000
Training Epoch: 26 [7168/48700]	Loss: 0.5186	LR: 0.020000
Training Epoch: 26 [7424/48700]	Loss: 0.5428	LR: 0.020000
Training Epoch: 26 [7680/48700]	Loss: 0.5273	LR: 0.020000
Training Epoch: 26 [7936/48700]	Loss: 0.5424	LR: 0.020000
Training Epoch: 26 [8192/48700]	Loss: 0.6104	LR: 0.020000
Training Epoch: 26 [8448/48700]	Loss: 0.4669	LR: 0.020000
Training Epoch: 26 [8704/48700]	Loss: 0.5777	LR: 0.020000
Training Epoch: 26 [8960/48700]	Loss: 0.5553	LR: 0.020000
Training Epoch: 26 [9216/48700]	Loss: 0.4872	LR: 0.020000
Training Epoch: 26 [9472/48700]	Loss: 0.5630	LR: 0.020000
Training Epoch: 26 [9728/48700]	Loss: 0.4776	LR: 0.020000
Training Epoch: 26 [9984/48700]	Loss: 0.4980	LR: 0.020000
Training Epoch: 26 [10240/48700]	Loss: 0.6051	LR: 0.020000
Training Epoch: 26 [10496/48700]	Loss: 0.5136	LR: 0.020000
Training Epoch: 26 [10752/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 26 [11008/48700]	Loss: 0.5295	LR: 0.020000
Training Epoch: 26 [11264/48700]	Loss: 0.5200	LR: 0.020000
Training Epoch: 26 [11520/48700]	Loss: 0.6410	LR: 0.020000
Training Epoch: 26 [11776/48700]	Loss: 0.5572	LR: 0.020000
Training Epoch: 26 [12032/48700]	Loss: 0.5061	LR: 0.020000
Training Epoch: 26 [12288/48700]	Loss: 0.5835	LR: 0.020000
Training Epoch: 26 [12544/48700]	Loss: 0.5253	LR: 0.020000
Training Epoch: 26 [12800/48700]	Loss: 0.4949	LR: 0.020000
Training Epoch: 26 [13056/48700]	Loss: 0.5481	LR: 0.020000
Training Epoch: 26 [13312/48700]	Loss: 0.4390	LR: 0.020000
Training Epoch: 26 [13568/48700]	Loss: 0.5424	LR: 0.020000
Training Epoch: 26 [13824/48700]	Loss: 0.4615	LR: 0.020000
Training Epoch: 26 [14080/48700]	Loss: 0.5701	LR: 0.020000
Training Epoch: 26 [14336/48700]	Loss: 0.4642	LR: 0.020000
Training Epoch: 26 [14592/48700]	Loss: 0.5342	LR: 0.020000
Training Epoch: 26 [14848/48700]	Loss: 0.5028	LR: 0.020000
Training Epoch: 26 [15104/48700]	Loss: 0.6754	LR: 0.020000
Training Epoch: 26 [15360/48700]	Loss: 0.4778	LR: 0.020000
Training Epoch: 26 [15616/48700]	Loss: 0.6025	LR: 0.020000
Training Epoch: 26 [15872/48700]	Loss: 0.4689	LR: 0.020000
Training Epoch: 26 [16128/48700]	Loss: 0.6256	LR: 0.020000
Training Epoch: 26 [16384/48700]	Loss: 0.4326	LR: 0.020000
Training Epoch: 26 [16640/48700]	Loss: 0.5067	LR: 0.020000
Training Epoch: 26 [16896/48700]	Loss: 0.5962	LR: 0.020000
Training Epoch: 26 [17152/48700]	Loss: 0.5867	LR: 0.020000
Training Epoch: 26 [17408/48700]	Loss: 0.5549	LR: 0.020000
Training Epoch: 26 [17664/48700]	Loss: 0.4862	LR: 0.020000
Training Epoch: 26 [17920/48700]	Loss: 0.4224	LR: 0.020000
Training Epoch: 26 [18176/48700]	Loss: 0.5284	LR: 0.020000
Training Epoch: 26 [18432/48700]	Loss: 0.5266	LR: 0.020000
Training Epoch: 26 [18688/48700]	Loss: 0.4285	LR: 0.020000
Training Epoch: 26 [18944/48700]	Loss: 0.5167	LR: 0.020000
Training Epoch: 26 [19200/48700]	Loss: 0.6988	LR: 0.020000
Training Epoch: 26 [19456/48700]	Loss: 0.5271	LR: 0.020000
Training Epoch: 26 [19712/48700]	Loss: 0.5516	LR: 0.020000
Training Epoch: 26 [19968/48700]	Loss: 0.5045	LR: 0.020000
Training Epoch: 26 [20224/48700]	Loss: 0.5249	LR: 0.020000
Training Epoch: 26 [20480/48700]	Loss: 0.5176	LR: 0.020000
Training Epoch: 26 [20736/48700]	Loss: 0.6973	LR: 0.020000
Training Epoch: 26 [20992/48700]	Loss: 0.5342	LR: 0.020000
Training Epoch: 26 [21248/48700]	Loss: 0.5159	LR: 0.020000
Training Epoch: 26 [21504/48700]	Loss: 0.5533	LR: 0.020000
Training Epoch: 26 [21760/48700]	Loss: 0.4333	LR: 0.020000
Training Epoch: 26 [22016/48700]	Loss: 0.5301	LR: 0.020000
Training Epoch: 26 [22272/48700]	Loss: 0.5664	LR: 0.020000
Training Epoch: 26 [22528/48700]	Loss: 0.3926	LR: 0.020000
Training Epoch: 26 [22784/48700]	Loss: 0.4908	LR: 0.020000
Training Epoch: 26 [23040/48700]	Loss: 0.6376	LR: 0.020000
Training Epoch: 26 [23296/48700]	Loss: 0.4484	LR: 0.020000
Training Epoch: 26 [23552/48700]	Loss: 0.5411	LR: 0.020000
Training Epoch: 26 [23808/48700]	Loss: 0.5268	LR: 0.020000
Training Epoch: 26 [24064/48700]	Loss: 0.5031	LR: 0.020000
Training Epoch: 26 [24320/48700]	Loss: 0.5238	LR: 0.020000
Training Epoch: 26 [24576/48700]	Loss: 0.4694	LR: 0.020000
Training Epoch: 26 [24832/48700]	Loss: 0.5477	LR: 0.020000
Training Epoch: 26 [25088/48700]	Loss: 0.5145	LR: 0.020000
Training Epoch: 26 [25344/48700]	Loss: 0.4906	LR: 0.020000
Training Epoch: 26 [25600/48700]	Loss: 0.5098	LR: 0.020000
Training Epoch: 26 [25856/48700]	Loss: 0.5438	LR: 0.020000
Training Epoch: 26 [26112/48700]	Loss: 0.4753	LR: 0.020000
Training Epoch: 26 [26368/48700]	Loss: 0.5505	LR: 0.020000
Training Epoch: 26 [26624/48700]	Loss: 0.4808	LR: 0.020000
Training Epoch: 26 [26880/48700]	Loss: 0.4927	LR: 0.020000
Training Epoch: 26 [27136/48700]	Loss: 0.4898	LR: 0.020000
Training Epoch: 26 [27392/48700]	Loss: 0.5040	LR: 0.020000
Training Epoch: 26 [27648/48700]	Loss: 0.5549	LR: 0.020000
Training Epoch: 26 [27904/48700]	Loss: 0.5154	LR: 0.020000
Training Epoch: 26 [28160/48700]	Loss: 0.6282	LR: 0.020000
Training Epoch: 26 [28416/48700]	Loss: 0.5642	LR: 0.020000
Training Epoch: 26 [28672/48700]	Loss: 0.5813	LR: 0.020000
Training Epoch: 26 [28928/48700]	Loss: 0.4453	LR: 0.020000
Training Epoch: 26 [29184/48700]	Loss: 0.4902	LR: 0.020000
Training Epoch: 26 [29440/48700]	Loss: 0.6108	LR: 0.020000
Training Epoch: 26 [29696/48700]	Loss: 0.3365	LR: 0.020000
Training Epoch: 26 [29952/48700]	Loss: 0.5028	LR: 0.020000
Training Epoch: 26 [30208/48700]	Loss: 0.5307	LR: 0.020000
Training Epoch: 26 [30464/48700]	Loss: 0.5131	LR: 0.020000
Training Epoch: 26 [30720/48700]	Loss: 0.5404	LR: 0.020000
Training Epoch: 26 [30976/48700]	Loss: 0.6133	LR: 0.020000
Training Epoch: 26 [31232/48700]	Loss: 0.6401	LR: 0.020000
Training Epoch: 26 [31488/48700]	Loss: 0.5023	LR: 0.020000
Training Epoch: 26 [31744/48700]	Loss: 0.5179	LR: 0.020000
Training Epoch: 26 [32000/48700]	Loss: 0.5052	LR: 0.020000
Training Epoch: 26 [32256/48700]	Loss: 0.5822	LR: 0.020000
Training Epoch: 26 [32512/48700]	Loss: 0.5175	LR: 0.020000
Training Epoch: 26 [32768/48700]	Loss: 0.5006	LR: 0.020000
Training Epoch: 26 [33024/48700]	Loss: 0.5172	LR: 0.020000
Training Epoch: 26 [33280/48700]	Loss: 0.4919	LR: 0.020000
Training Epoch: 26 [33536/48700]	Loss: 0.5356	LR: 0.020000
Training Epoch: 26 [33792/48700]	Loss: 0.4837	LR: 0.020000
Training Epoch: 26 [34048/48700]	Loss: 0.4817	LR: 0.020000
Training Epoch: 26 [34304/48700]	Loss: 0.5673	LR: 0.020000
Training Epoch: 26 [34560/48700]	Loss: 0.5514	LR: 0.020000
Training Epoch: 26 [34816/48700]	Loss: 0.4649	LR: 0.020000
Training Epoch: 26 [35072/48700]	Loss: 0.6377	LR: 0.020000
Training Epoch: 26 [35328/48700]	Loss: 0.5650	LR: 0.020000
Training Epoch: 26 [35584/48700]	Loss: 0.5283	LR: 0.020000
Training Epoch: 26 [35840/48700]	Loss: 0.4287	LR: 0.020000
Training Epoch: 26 [36096/48700]	Loss: 0.4761	LR: 0.020000
Training Epoch: 26 [36352/48700]	Loss: 0.5283	LR: 0.020000
Training Epoch: 26 [36608/48700]	Loss: 0.4740	LR: 0.020000
Training Epoch: 26 [36864/48700]	Loss: 0.6622	LR: 0.020000
Training Epoch: 26 [37120/48700]	Loss: 0.6320	LR: 0.020000
Training Epoch: 26 [37376/48700]	Loss: 0.5204	LR: 0.020000
Training Epoch: 26 [37632/48700]	Loss: 0.5529	LR: 0.020000
Training Epoch: 26 [37888/48700]	Loss: 0.5603	LR: 0.020000
Training Epoch: 26 [38144/48700]	Loss: 0.4943	LR: 0.020000
Training Epoch: 26 [38400/48700]	Loss: 0.5574	LR: 0.020000
Training Epoch: 26 [38656/48700]	Loss: 0.5574	LR: 0.020000
Training Epoch: 26 [38912/48700]	Loss: 0.4902	LR: 0.020000
Training Epoch: 26 [39168/48700]	Loss: 0.5550	LR: 0.020000
Training Epoch: 26 [39424/48700]	Loss: 0.5675	LR: 0.020000
Training Epoch: 26 [39680/48700]	Loss: 0.5344	LR: 0.020000
Training Epoch: 26 [39936/48700]	Loss: 0.6209	LR: 0.020000
Training Epoch: 26 [40192/48700]	Loss: 0.5401	LR: 0.020000
Training Epoch: 26 [40448/48700]	Loss: 0.4683	LR: 0.020000
Training Epoch: 26 [40704/48700]	Loss: 0.5003	LR: 0.020000
Training Epoch: 26 [40960/48700]	Loss: 0.5974	LR: 0.020000
Training Epoch: 26 [41216/48700]	Loss: 0.5755	LR: 0.020000
Training Epoch: 26 [41472/48700]	Loss: 0.4866	LR: 0.020000
Training Epoch: 26 [41728/48700]	Loss: 0.5686	LR: 0.020000
Training Epoch: 26 [41984/48700]	Loss: 0.6704	LR: 0.020000
Training Epoch: 26 [42240/48700]	Loss: 0.5119	LR: 0.020000
Training Epoch: 26 [42496/48700]	Loss: 0.5554	LR: 0.020000
Training Epoch: 26 [42752/48700]	Loss: 0.4882	LR: 0.020000
Training Epoch: 26 [43008/48700]	Loss: 0.5503	LR: 0.020000
Training Epoch: 26 [43264/48700]	Loss: 0.5535	LR: 0.020000
Training Epoch: 26 [43520/48700]	Loss: 0.5804	LR: 0.020000
Training Epoch: 26 [43776/48700]	Loss: 0.5110	LR: 0.020000
Training Epoch: 26 [44032/48700]	Loss: 0.4998	LR: 0.020000
Training Epoch: 26 [44288/48700]	Loss: 0.5869	LR: 0.020000
Training Epoch: 26 [44544/48700]	Loss: 0.5203	LR: 0.020000
Training Epoch: 26 [44800/48700]	Loss: 0.7114	LR: 0.020000
Training Epoch: 26 [45056/48700]	Loss: 0.6403	LR: 0.020000
Training Epoch: 26 [45312/48700]	Loss: 0.5287	LR: 0.020000
Training Epoch: 26 [45568/48700]	Loss: 0.5863	LR: 0.020000
Training Epoch: 26 [45824/48700]	Loss: 0.5152	LR: 0.020000
Training Epoch: 26 [46080/48700]	Loss: 0.4732	LR: 0.020000
Training Epoch: 26 [46336/48700]	Loss: 0.6493	LR: 0.020000
Training Epoch: 26 [46592/48700]	Loss: 0.5392	LR: 0.020000
Training Epoch: 26 [46848/48700]	Loss: 0.5720	LR: 0.020000
Training Epoch: 26 [47104/48700]	Loss: 0.5872	LR: 0.020000
Training Epoch: 26 [47360/48700]	Loss: 0.5661	LR: 0.020000
Training Epoch: 26 [47616/48700]	Loss: 0.5667	LR: 0.020000
Training Epoch: 26 [47872/48700]	Loss: 0.5765	LR: 0.020000
Training Epoch: 26 [48128/48700]	Loss: 0.6797	LR: 0.020000
Training Epoch: 26 [48384/48700]	Loss: 0.6313	LR: 0.020000
Training Epoch: 26 [48640/48700]	Loss: 0.5851	LR: 0.020000
Training Epoch: 26 [48700/48700]	Loss: 0.5542	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5343, Train Accuracy: 0.8266
Epoch 26 training time consumed: 26.76s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0035, Accuracy: 0.7324, Time consumed:0.86s
Training Epoch: 27 [256/48700]	Loss: 0.5060	LR: 0.020000
Training Epoch: 27 [512/48700]	Loss: 0.5451	LR: 0.020000
Training Epoch: 27 [768/48700]	Loss: 0.5829	LR: 0.020000
Training Epoch: 27 [1024/48700]	Loss: 0.5723	LR: 0.020000
Training Epoch: 27 [1280/48700]	Loss: 0.6385	LR: 0.020000
Training Epoch: 27 [1536/48700]	Loss: 0.4650	LR: 0.020000
Training Epoch: 27 [1792/48700]	Loss: 0.5072	LR: 0.020000
Training Epoch: 27 [2048/48700]	Loss: 0.5031	LR: 0.020000
Training Epoch: 27 [2304/48700]	Loss: 0.6455	LR: 0.020000
Training Epoch: 27 [2560/48700]	Loss: 0.5452	LR: 0.020000
Training Epoch: 27 [2816/48700]	Loss: 0.6020	LR: 0.020000
Training Epoch: 27 [3072/48700]	Loss: 0.5464	LR: 0.020000
Training Epoch: 27 [3328/48700]	Loss: 0.4708	LR: 0.020000
Training Epoch: 27 [3584/48700]	Loss: 0.4892	LR: 0.020000
Training Epoch: 27 [3840/48700]	Loss: 0.5118	LR: 0.020000
Training Epoch: 27 [4096/48700]	Loss: 0.5367	LR: 0.020000
Training Epoch: 27 [4352/48700]	Loss: 0.5024	LR: 0.020000
Training Epoch: 27 [4608/48700]	Loss: 0.5197	LR: 0.020000
Training Epoch: 27 [4864/48700]	Loss: 0.5176	LR: 0.020000
Training Epoch: 27 [5120/48700]	Loss: 0.5656	LR: 0.020000
Training Epoch: 27 [5376/48700]	Loss: 0.4589	LR: 0.020000
Training Epoch: 27 [5632/48700]	Loss: 0.4571	LR: 0.020000
Training Epoch: 27 [5888/48700]	Loss: 0.5077	LR: 0.020000
Training Epoch: 27 [6144/48700]	Loss: 0.5029	LR: 0.020000
Training Epoch: 27 [6400/48700]	Loss: 0.5421	LR: 0.020000
Training Epoch: 27 [6656/48700]	Loss: 0.4534	LR: 0.020000
Training Epoch: 27 [6912/48700]	Loss: 0.4880	LR: 0.020000
Training Epoch: 27 [7168/48700]	Loss: 0.4933	LR: 0.020000
Training Epoch: 27 [7424/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 27 [7680/48700]	Loss: 0.5096	LR: 0.020000
Training Epoch: 27 [7936/48700]	Loss: 0.5697	LR: 0.020000
Training Epoch: 27 [8192/48700]	Loss: 0.4061	LR: 0.020000
Training Epoch: 27 [8448/48700]	Loss: 0.4434	LR: 0.020000
Training Epoch: 27 [8704/48700]	Loss: 0.4503	LR: 0.020000
Training Epoch: 27 [8960/48700]	Loss: 0.5255	LR: 0.020000
Training Epoch: 27 [9216/48700]	Loss: 0.5009	LR: 0.020000
Training Epoch: 27 [9472/48700]	Loss: 0.5595	LR: 0.020000
Training Epoch: 27 [9728/48700]	Loss: 0.4804	LR: 0.020000
Training Epoch: 27 [9984/48700]	Loss: 0.5534	LR: 0.020000
Training Epoch: 27 [10240/48700]	Loss: 0.4761	LR: 0.020000
Training Epoch: 27 [10496/48700]	Loss: 0.5021	LR: 0.020000
Training Epoch: 27 [10752/48700]	Loss: 0.6307	LR: 0.020000
Training Epoch: 27 [11008/48700]	Loss: 0.5254	LR: 0.020000
Training Epoch: 27 [11264/48700]	Loss: 0.5661	LR: 0.020000
Training Epoch: 27 [11520/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 27 [11776/48700]	Loss: 0.6144	LR: 0.020000
Training Epoch: 27 [12032/48700]	Loss: 0.6661	LR: 0.020000
Training Epoch: 27 [12288/48700]	Loss: 0.5287	LR: 0.020000
Training Epoch: 27 [12544/48700]	Loss: 0.5564	LR: 0.020000
Training Epoch: 27 [12800/48700]	Loss: 0.5856	LR: 0.020000
Training Epoch: 27 [13056/48700]	Loss: 0.5585	LR: 0.020000
Training Epoch: 27 [13312/48700]	Loss: 0.5726	LR: 0.020000
Training Epoch: 27 [13568/48700]	Loss: 0.5852	LR: 0.020000
Training Epoch: 27 [13824/48700]	Loss: 0.4881	LR: 0.020000
Training Epoch: 27 [14080/48700]	Loss: 0.5652	LR: 0.020000
Training Epoch: 27 [14336/48700]	Loss: 0.5489	LR: 0.020000
Training Epoch: 27 [14592/48700]	Loss: 0.5229	LR: 0.020000
Training Epoch: 27 [14848/48700]	Loss: 0.5361	LR: 0.020000
Training Epoch: 27 [15104/48700]	Loss: 0.4845	LR: 0.020000
Training Epoch: 27 [15360/48700]	Loss: 0.5827	LR: 0.020000
Training Epoch: 27 [15616/48700]	Loss: 0.5414	LR: 0.020000
Training Epoch: 27 [15872/48700]	Loss: 0.5244	LR: 0.020000
Training Epoch: 27 [16128/48700]	Loss: 0.5698	LR: 0.020000
Training Epoch: 27 [16384/48700]	Loss: 0.6080	LR: 0.020000
Training Epoch: 27 [16640/48700]	Loss: 0.4658	LR: 0.020000
Training Epoch: 27 [16896/48700]	Loss: 0.6054	LR: 0.020000
Training Epoch: 27 [17152/48700]	Loss: 0.5066	LR: 0.020000
Training Epoch: 27 [17408/48700]	Loss: 0.4520	LR: 0.020000
Training Epoch: 27 [17664/48700]	Loss: 0.5875	LR: 0.020000
Training Epoch: 27 [17920/48700]	Loss: 0.5170	LR: 0.020000
Training Epoch: 27 [18176/48700]	Loss: 0.5467	LR: 0.020000
Training Epoch: 27 [18432/48700]	Loss: 0.5125	LR: 0.020000
Training Epoch: 27 [18688/48700]	Loss: 0.4016	LR: 0.020000
Training Epoch: 27 [18944/48700]	Loss: 0.5024	LR: 0.020000
Training Epoch: 27 [19200/48700]	Loss: 0.4755	LR: 0.020000
Training Epoch: 27 [19456/48700]	Loss: 0.5407	LR: 0.020000
Training Epoch: 27 [19712/48700]	Loss: 0.5728	LR: 0.020000
Training Epoch: 27 [19968/48700]	Loss: 0.5679	LR: 0.020000
Training Epoch: 27 [20224/48700]	Loss: 0.6288	LR: 0.020000
Training Epoch: 27 [20480/48700]	Loss: 0.5518	LR: 0.020000
Training Epoch: 27 [20736/48700]	Loss: 0.5323	LR: 0.020000
Training Epoch: 27 [20992/48700]	Loss: 0.4705	LR: 0.020000
Training Epoch: 27 [21248/48700]	Loss: 0.3899	LR: 0.020000
Training Epoch: 27 [21504/48700]	Loss: 0.4566	LR: 0.020000
Training Epoch: 27 [21760/48700]	Loss: 0.5118	LR: 0.020000
Training Epoch: 27 [22016/48700]	Loss: 0.6242	LR: 0.020000
Training Epoch: 27 [22272/48700]	Loss: 0.5462	LR: 0.020000
Training Epoch: 27 [22528/48700]	Loss: 0.4962	LR: 0.020000
Training Epoch: 27 [22784/48700]	Loss: 0.5792	LR: 0.020000
Training Epoch: 27 [23040/48700]	Loss: 0.4796	LR: 0.020000
Training Epoch: 27 [23296/48700]	Loss: 0.5534	LR: 0.020000
Training Epoch: 27 [23552/48700]	Loss: 0.5430	LR: 0.020000
Training Epoch: 27 [23808/48700]	Loss: 0.5506	LR: 0.020000
Training Epoch: 27 [24064/48700]	Loss: 0.5549	LR: 0.020000
Training Epoch: 27 [24320/48700]	Loss: 0.5622	LR: 0.020000
Training Epoch: 27 [24576/48700]	Loss: 0.4319	LR: 0.020000
Training Epoch: 27 [24832/48700]	Loss: 0.5121	LR: 0.020000
Training Epoch: 27 [25088/48700]	Loss: 0.5727	LR: 0.020000
Training Epoch: 27 [25344/48700]	Loss: 0.4950	LR: 0.020000
Training Epoch: 27 [25600/48700]	Loss: 0.5123	LR: 0.020000
Training Epoch: 27 [25856/48700]	Loss: 0.4991	LR: 0.020000
Training Epoch: 27 [26112/48700]	Loss: 0.5663	LR: 0.020000
Training Epoch: 27 [26368/48700]	Loss: 0.5043	LR: 0.020000
Training Epoch: 27 [26624/48700]	Loss: 0.5634	LR: 0.020000
Training Epoch: 27 [26880/48700]	Loss: 0.5378	LR: 0.020000
Training Epoch: 27 [27136/48700]	Loss: 0.4495	LR: 0.020000
Training Epoch: 27 [27392/48700]	Loss: 0.4351	LR: 0.020000
Training Epoch: 27 [27648/48700]	Loss: 0.4781	LR: 0.020000
Training Epoch: 27 [27904/48700]	Loss: 0.5566	LR: 0.020000
Training Epoch: 27 [28160/48700]	Loss: 0.4913	LR: 0.020000
Training Epoch: 27 [28416/48700]	Loss: 0.4996	LR: 0.020000
Training Epoch: 27 [28672/48700]	Loss: 0.5638	LR: 0.020000
Training Epoch: 27 [28928/48700]	Loss: 0.6635	LR: 0.020000
Training Epoch: 27 [29184/48700]	Loss: 0.4721	LR: 0.020000
Training Epoch: 27 [29440/48700]	Loss: 0.4504	LR: 0.020000
Training Epoch: 27 [29696/48700]	Loss: 0.5201	LR: 0.020000
Training Epoch: 27 [29952/48700]	Loss: 0.6376	LR: 0.020000
Training Epoch: 27 [30208/48700]	Loss: 0.5034	LR: 0.020000
Training Epoch: 27 [30464/48700]	Loss: 0.4788	LR: 0.020000
Training Epoch: 27 [30720/48700]	Loss: 0.6889	LR: 0.020000
Training Epoch: 27 [30976/48700]	Loss: 0.4609	LR: 0.020000
Training Epoch: 27 [31232/48700]	Loss: 0.5358	LR: 0.020000
Training Epoch: 27 [31488/48700]	Loss: 0.5565	LR: 0.020000
Training Epoch: 27 [31744/48700]	Loss: 0.5846	LR: 0.020000
Training Epoch: 27 [32000/48700]	Loss: 0.5617	LR: 0.020000
Training Epoch: 27 [32256/48700]	Loss: 0.4307	LR: 0.020000
Training Epoch: 27 [32512/48700]	Loss: 0.5167	LR: 0.020000
Training Epoch: 27 [32768/48700]	Loss: 0.5436	LR: 0.020000
Training Epoch: 27 [33024/48700]	Loss: 0.4908	LR: 0.020000
Training Epoch: 27 [33280/48700]	Loss: 0.5670	LR: 0.020000
Training Epoch: 27 [33536/48700]	Loss: 0.5058	LR: 0.020000
Training Epoch: 27 [33792/48700]	Loss: 0.5604	LR: 0.020000
Training Epoch: 27 [34048/48700]	Loss: 0.6508	LR: 0.020000
Training Epoch: 27 [34304/48700]	Loss: 0.5526	LR: 0.020000
Training Epoch: 27 [34560/48700]	Loss: 0.5113	LR: 0.020000
Training Epoch: 27 [34816/48700]	Loss: 0.5792	LR: 0.020000
Training Epoch: 27 [35072/48700]	Loss: 0.6107	LR: 0.020000
Training Epoch: 27 [35328/48700]	Loss: 0.5042	LR: 0.020000
Training Epoch: 27 [35584/48700]	Loss: 0.5848	LR: 0.020000
Training Epoch: 27 [35840/48700]	Loss: 0.6207	LR: 0.020000
Training Epoch: 27 [36096/48700]	Loss: 0.4983	LR: 0.020000
Training Epoch: 27 [36352/48700]	Loss: 0.4974	LR: 0.020000
Training Epoch: 27 [36608/48700]	Loss: 0.5037	LR: 0.020000
Training Epoch: 27 [36864/48700]	Loss: 0.4899	LR: 0.020000
Training Epoch: 27 [37120/48700]	Loss: 0.5423	LR: 0.020000
Training Epoch: 27 [37376/48700]	Loss: 0.5949	LR: 0.020000
Training Epoch: 27 [37632/48700]	Loss: 0.5183	LR: 0.020000
Training Epoch: 27 [37888/48700]	Loss: 0.5105	LR: 0.020000
Training Epoch: 27 [38144/48700]	Loss: 0.5144	LR: 0.020000
Training Epoch: 27 [38400/48700]	Loss: 0.5818	LR: 0.020000
Training Epoch: 27 [38656/48700]	Loss: 0.5936	LR: 0.020000
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Training Epoch: 27 [46080/48700]	Loss: 0.5138	LR: 0.020000
Training Epoch: 27 [46336/48700]	Loss: 0.6135	LR: 0.020000
Training Epoch: 27 [46592/48700]	Loss: 0.6444	LR: 0.020000
Training Epoch: 27 [46848/48700]	Loss: 0.5072	LR: 0.020000
Training Epoch: 27 [47104/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 27 [47360/48700]	Loss: 0.5585	LR: 0.020000
Training Epoch: 27 [47616/48700]	Loss: 0.5243	LR: 0.020000
Training Epoch: 27 [47872/48700]	Loss: 0.5606	LR: 0.020000
Training Epoch: 27 [48128/48700]	Loss: 0.4813	LR: 0.020000
Training Epoch: 27 [48384/48700]	Loss: 0.6039	LR: 0.020000
Training Epoch: 27 [48640/48700]	Loss: 0.6568	LR: 0.020000
Training Epoch: 27 [48700/48700]	Loss: 0.4972	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5327, Train Accuracy: 0.8267
Epoch 27 training time consumed: 26.57s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0034, Accuracy: 0.7468, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-27-best.pth
Training Epoch: 28 [256/48700]	Loss: 0.4549	LR: 0.020000
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Training Epoch: 28 [768/48700]	Loss: 0.4682	LR: 0.020000
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Training Epoch: 28 [47872/48700]	Loss: 0.3969	LR: 0.020000
Training Epoch: 28 [48128/48700]	Loss: 0.5259	LR: 0.020000
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Training Epoch: 28 [48640/48700]	Loss: 0.4910	LR: 0.020000
Training Epoch: 28 [48700/48700]	Loss: 0.4214	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5171, Train Accuracy: 0.8319
Epoch 28 training time consumed: 26.79s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0036, Accuracy: 0.7344, Time consumed:0.90s
Training Epoch: 29 [256/48700]	Loss: 0.4345	LR: 0.020000
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Training Epoch: 29 [1024/48700]	Loss: 0.4894	LR: 0.020000
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Training Epoch: 29 [1536/48700]	Loss: 0.3941	LR: 0.020000
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Training Epoch: 29 [13312/48700]	Loss: 0.6333	LR: 0.020000
Training Epoch: 29 [13568/48700]	Loss: 0.5468	LR: 0.020000
Training Epoch: 29 [13824/48700]	Loss: 0.4815	LR: 0.020000
Training Epoch: 29 [14080/48700]	Loss: 0.6002	LR: 0.020000
Training Epoch: 29 [14336/48700]	Loss: 0.4557	LR: 0.020000
Training Epoch: 29 [14592/48700]	Loss: 0.4830	LR: 0.020000
Training Epoch: 29 [14848/48700]	Loss: 0.4310	LR: 0.020000
Training Epoch: 29 [15104/48700]	Loss: 0.5092	LR: 0.020000
Training Epoch: 29 [15360/48700]	Loss: 0.5162	LR: 0.020000
Training Epoch: 29 [15616/48700]	Loss: 0.5178	LR: 0.020000
Training Epoch: 29 [15872/48700]	Loss: 0.5178	LR: 0.020000
Training Epoch: 29 [16128/48700]	Loss: 0.4741	LR: 0.020000
Training Epoch: 29 [16384/48700]	Loss: 0.5228	LR: 0.020000
Training Epoch: 29 [16640/48700]	Loss: 0.5194	LR: 0.020000
Training Epoch: 29 [16896/48700]	Loss: 0.6611	LR: 0.020000
Training Epoch: 29 [17152/48700]	Loss: 0.4688	LR: 0.020000
Training Epoch: 29 [17408/48700]	Loss: 0.5064	LR: 0.020000
Training Epoch: 29 [17664/48700]	Loss: 0.3808	LR: 0.020000
Training Epoch: 29 [17920/48700]	Loss: 0.5030	LR: 0.020000
Training Epoch: 29 [18176/48700]	Loss: 0.5213	LR: 0.020000
Training Epoch: 29 [18432/48700]	Loss: 0.5602	LR: 0.020000
Training Epoch: 29 [18688/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 29 [18944/48700]	Loss: 0.4880	LR: 0.020000
Training Epoch: 29 [19200/48700]	Loss: 0.5012	LR: 0.020000
Training Epoch: 29 [19456/48700]	Loss: 0.4238	LR: 0.020000
Training Epoch: 29 [19712/48700]	Loss: 0.4714	LR: 0.020000
Training Epoch: 29 [19968/48700]	Loss: 0.5983	LR: 0.020000
Training Epoch: 29 [20224/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 29 [20480/48700]	Loss: 0.5454	LR: 0.020000
Training Epoch: 29 [20736/48700]	Loss: 0.5797	LR: 0.020000
Training Epoch: 29 [20992/48700]	Loss: 0.5301	LR: 0.020000
Training Epoch: 29 [21248/48700]	Loss: 0.5834	LR: 0.020000
Training Epoch: 29 [21504/48700]	Loss: 0.5526	LR: 0.020000
Training Epoch: 29 [21760/48700]	Loss: 0.5787	LR: 0.020000
Training Epoch: 29 [22016/48700]	Loss: 0.4567	LR: 0.020000
Training Epoch: 29 [22272/48700]	Loss: 0.5490	LR: 0.020000
Training Epoch: 29 [22528/48700]	Loss: 0.5812	LR: 0.020000
Training Epoch: 29 [22784/48700]	Loss: 0.4256	LR: 0.020000
Training Epoch: 29 [23040/48700]	Loss: 0.6283	LR: 0.020000
Training Epoch: 29 [23296/48700]	Loss: 0.4645	LR: 0.020000
Training Epoch: 29 [23552/48700]	Loss: 0.4655	LR: 0.020000
Training Epoch: 29 [23808/48700]	Loss: 0.4507	LR: 0.020000
Training Epoch: 29 [24064/48700]	Loss: 0.5254	LR: 0.020000
Training Epoch: 29 [24320/48700]	Loss: 0.5334	LR: 0.020000
Training Epoch: 29 [24576/48700]	Loss: 0.6239	LR: 0.020000
Training Epoch: 29 [24832/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 29 [25088/48700]	Loss: 0.6616	LR: 0.020000
Training Epoch: 29 [25344/48700]	Loss: 0.5797	LR: 0.020000
Training Epoch: 29 [25600/48700]	Loss: 0.4705	LR: 0.020000
Training Epoch: 29 [25856/48700]	Loss: 0.5403	LR: 0.020000
Training Epoch: 29 [26112/48700]	Loss: 0.4822	LR: 0.020000
Training Epoch: 29 [26368/48700]	Loss: 0.4660	LR: 0.020000
Training Epoch: 29 [26624/48700]	Loss: 0.5586	LR: 0.020000
Training Epoch: 29 [26880/48700]	Loss: 0.4460	LR: 0.020000
Training Epoch: 29 [27136/48700]	Loss: 0.5232	LR: 0.020000
Training Epoch: 29 [27392/48700]	Loss: 0.6264	LR: 0.020000
Training Epoch: 29 [27648/48700]	Loss: 0.5995	LR: 0.020000
Training Epoch: 29 [27904/48700]	Loss: 0.3883	LR: 0.020000
Training Epoch: 29 [28160/48700]	Loss: 0.5527	LR: 0.020000
Training Epoch: 29 [28416/48700]	Loss: 0.4689	LR: 0.020000
Training Epoch: 29 [28672/48700]	Loss: 0.6093	LR: 0.020000
Training Epoch: 29 [28928/48700]	Loss: 0.5063	LR: 0.020000
Training Epoch: 29 [29184/48700]	Loss: 0.4884	LR: 0.020000
Training Epoch: 29 [29440/48700]	Loss: 0.5025	LR: 0.020000
Training Epoch: 29 [29696/48700]	Loss: 0.4933	LR: 0.020000
Training Epoch: 29 [29952/48700]	Loss: 0.4847	LR: 0.020000
Training Epoch: 29 [30208/48700]	Loss: 0.5170	LR: 0.020000
Training Epoch: 29 [30464/48700]	Loss: 0.6422	LR: 0.020000
Training Epoch: 29 [30720/48700]	Loss: 0.4415	LR: 0.020000
Training Epoch: 29 [30976/48700]	Loss: 0.4727	LR: 0.020000
Training Epoch: 29 [31232/48700]	Loss: 0.4670	LR: 0.020000
Training Epoch: 29 [31488/48700]	Loss: 0.4120	LR: 0.020000
Training Epoch: 29 [31744/48700]	Loss: 0.6127	LR: 0.020000
Training Epoch: 29 [32000/48700]	Loss: 0.6535	LR: 0.020000
Training Epoch: 29 [32256/48700]	Loss: 0.3957	LR: 0.020000
Training Epoch: 29 [32512/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 29 [32768/48700]	Loss: 0.5621	LR: 0.020000
Training Epoch: 29 [33024/48700]	Loss: 0.5119	LR: 0.020000
Training Epoch: 29 [33280/48700]	Loss: 0.4965	LR: 0.020000
Training Epoch: 29 [33536/48700]	Loss: 0.5635	LR: 0.020000
Training Epoch: 29 [33792/48700]	Loss: 0.4740	LR: 0.020000
Training Epoch: 29 [34048/48700]	Loss: 0.4281	LR: 0.020000
Training Epoch: 29 [34304/48700]	Loss: 0.5514	LR: 0.020000
Training Epoch: 29 [34560/48700]	Loss: 0.6085	LR: 0.020000
Training Epoch: 29 [34816/48700]	Loss: 0.4621	LR: 0.020000
Training Epoch: 29 [35072/48700]	Loss: 0.4116	LR: 0.020000
Training Epoch: 29 [35328/48700]	Loss: 0.4947	LR: 0.020000
Training Epoch: 29 [35584/48700]	Loss: 0.4663	LR: 0.020000
Training Epoch: 29 [35840/48700]	Loss: 0.5046	LR: 0.020000
Training Epoch: 29 [36096/48700]	Loss: 0.4936	LR: 0.020000
Training Epoch: 29 [36352/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 29 [36608/48700]	Loss: 0.5076	LR: 0.020000
Training Epoch: 29 [36864/48700]	Loss: 0.5772	LR: 0.020000
Training Epoch: 29 [37120/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 29 [37376/48700]	Loss: 0.5199	LR: 0.020000
Training Epoch: 29 [37632/48700]	Loss: 0.5093	LR: 0.020000
Training Epoch: 29 [37888/48700]	Loss: 0.5261	LR: 0.020000
Training Epoch: 29 [38144/48700]	Loss: 0.4546	LR: 0.020000
Training Epoch: 29 [38400/48700]	Loss: 0.6818	LR: 0.020000
Training Epoch: 29 [38656/48700]	Loss: 0.5213	LR: 0.020000
Training Epoch: 29 [38912/48700]	Loss: 0.5433	LR: 0.020000
Training Epoch: 29 [39168/48700]	Loss: 0.4228	LR: 0.020000
Training Epoch: 29 [39424/48700]	Loss: 0.5395	LR: 0.020000
Training Epoch: 29 [39680/48700]	Loss: 0.5124	LR: 0.020000
Training Epoch: 29 [39936/48700]	Loss: 0.4777	LR: 0.020000
Training Epoch: 29 [40192/48700]	Loss: 0.5571	LR: 0.020000
Training Epoch: 29 [40448/48700]	Loss: 0.5249	LR: 0.020000
Training Epoch: 29 [40704/48700]	Loss: 0.4668	LR: 0.020000
Training Epoch: 29 [40960/48700]	Loss: 0.4278	LR: 0.020000
Training Epoch: 29 [41216/48700]	Loss: 0.6641	LR: 0.020000
Training Epoch: 29 [41472/48700]	Loss: 0.4647	LR: 0.020000
Training Epoch: 29 [41728/48700]	Loss: 0.4342	LR: 0.020000
Training Epoch: 29 [41984/48700]	Loss: 0.5580	LR: 0.020000
Training Epoch: 29 [42240/48700]	Loss: 0.6137	LR: 0.020000
Training Epoch: 29 [42496/48700]	Loss: 0.5622	LR: 0.020000
Training Epoch: 29 [42752/48700]	Loss: 0.5911	LR: 0.020000
Training Epoch: 29 [43008/48700]	Loss: 0.5094	LR: 0.020000
Training Epoch: 29 [43264/48700]	Loss: 0.5498	LR: 0.020000
Training Epoch: 29 [43520/48700]	Loss: 0.5786	LR: 0.020000
Training Epoch: 29 [43776/48700]	Loss: 0.5517	LR: 0.020000
Training Epoch: 29 [44032/48700]	Loss: 0.5953	LR: 0.020000
Training Epoch: 29 [44288/48700]	Loss: 0.5712	LR: 0.020000
Training Epoch: 29 [44544/48700]	Loss: 0.6448	LR: 0.020000
Training Epoch: 29 [44800/48700]	Loss: 0.5659	LR: 0.020000
Training Epoch: 29 [45056/48700]	Loss: 0.5976	LR: 0.020000
Training Epoch: 29 [45312/48700]	Loss: 0.4439	LR: 0.020000
Training Epoch: 29 [45568/48700]	Loss: 0.4390	LR: 0.020000
Training Epoch: 29 [45824/48700]	Loss: 0.5783	LR: 0.020000
Training Epoch: 29 [46080/48700]	Loss: 0.5678	LR: 0.020000
Training Epoch: 29 [46336/48700]	Loss: 0.4793	LR: 0.020000
Training Epoch: 29 [46592/48700]	Loss: 0.5783	LR: 0.020000
Training Epoch: 29 [46848/48700]	Loss: 0.5891	LR: 0.020000
Training Epoch: 29 [47104/48700]	Loss: 0.5293	LR: 0.020000
Training Epoch: 29 [47360/48700]	Loss: 0.6191	LR: 0.020000
Training Epoch: 29 [47616/48700]	Loss: 0.6530	LR: 0.020000
Training Epoch: 29 [47872/48700]	Loss: 0.5549	LR: 0.020000
Training Epoch: 29 [48128/48700]	Loss: 0.5706	LR: 0.020000
Training Epoch: 29 [48384/48700]	Loss: 0.6483	LR: 0.020000
Training Epoch: 29 [48640/48700]	Loss: 0.5072	LR: 0.020000
Training Epoch: 29 [48700/48700]	Loss: 0.5932	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5175, Train Accuracy: 0.8327
Epoch 29 training time consumed: 26.67s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0038, Accuracy: 0.7318, Time consumed:0.91s
Training Epoch: 30 [256/48700]	Loss: 0.4385	LR: 0.004000
Training Epoch: 30 [512/48700]	Loss: 0.4656	LR: 0.004000
Training Epoch: 30 [768/48700]	Loss: 0.4501	LR: 0.004000
Training Epoch: 30 [1024/48700]	Loss: 0.5517	LR: 0.004000
Training Epoch: 30 [1280/48700]	Loss: 0.5203	LR: 0.004000
Training Epoch: 30 [1536/48700]	Loss: 0.4337	LR: 0.004000
Training Epoch: 30 [1792/48700]	Loss: 0.4598	LR: 0.004000
Training Epoch: 30 [2048/48700]	Loss: 0.4336	LR: 0.004000
Training Epoch: 30 [2304/48700]	Loss: 0.4907	LR: 0.004000
Training Epoch: 30 [2560/48700]	Loss: 0.4053	LR: 0.004000
Training Epoch: 30 [2816/48700]	Loss: 0.5035	LR: 0.004000
Training Epoch: 30 [3072/48700]	Loss: 0.5425	LR: 0.004000
Training Epoch: 30 [3328/48700]	Loss: 0.4586	LR: 0.004000
Training Epoch: 30 [3584/48700]	Loss: 0.4089	LR: 0.004000
Training Epoch: 30 [3840/48700]	Loss: 0.4198	LR: 0.004000
Training Epoch: 30 [4096/48700]	Loss: 0.4720	LR: 0.004000
Training Epoch: 30 [4352/48700]	Loss: 0.4342	LR: 0.004000
Training Epoch: 30 [4608/48700]	Loss: 0.4826	LR: 0.004000
Training Epoch: 30 [4864/48700]	Loss: 0.5255	LR: 0.004000
Training Epoch: 30 [5120/48700]	Loss: 0.5742	LR: 0.004000
Training Epoch: 30 [5376/48700]	Loss: 0.4404	LR: 0.004000
Training Epoch: 30 [5632/48700]	Loss: 0.4498	LR: 0.004000
Training Epoch: 30 [5888/48700]	Loss: 0.4347	LR: 0.004000
Training Epoch: 30 [6144/48700]	Loss: 0.4329	LR: 0.004000
Training Epoch: 30 [6400/48700]	Loss: 0.3561	LR: 0.004000
Training Epoch: 30 [6656/48700]	Loss: 0.4243	LR: 0.004000
Training Epoch: 30 [6912/48700]	Loss: 0.4140	LR: 0.004000
Training Epoch: 30 [7168/48700]	Loss: 0.3753	LR: 0.004000
Training Epoch: 30 [7424/48700]	Loss: 0.3974	LR: 0.004000
Training Epoch: 30 [7680/48700]	Loss: 0.4239	LR: 0.004000
Training Epoch: 30 [7936/48700]	Loss: 0.4154	LR: 0.004000
Training Epoch: 30 [8192/48700]	Loss: 0.4644	LR: 0.004000
Training Epoch: 30 [8448/48700]	Loss: 0.3305	LR: 0.004000
Training Epoch: 30 [8704/48700]	Loss: 0.3418	LR: 0.004000
Training Epoch: 30 [8960/48700]	Loss: 0.4310	LR: 0.004000
Training Epoch: 30 [9216/48700]	Loss: 0.4912	LR: 0.004000
Training Epoch: 30 [9472/48700]	Loss: 0.4861	LR: 0.004000
Training Epoch: 30 [9728/48700]	Loss: 0.4032	LR: 0.004000
Training Epoch: 30 [9984/48700]	Loss: 0.4160	LR: 0.004000
Training Epoch: 30 [10240/48700]	Loss: 0.4903	LR: 0.004000
Training Epoch: 30 [10496/48700]	Loss: 0.3931	LR: 0.004000
Training Epoch: 30 [10752/48700]	Loss: 0.3634	LR: 0.004000
Training Epoch: 30 [11008/48700]	Loss: 0.4506	LR: 0.004000
Training Epoch: 30 [11264/48700]	Loss: 0.3557	LR: 0.004000
Training Epoch: 30 [11520/48700]	Loss: 0.4361	LR: 0.004000
Training Epoch: 30 [11776/48700]	Loss: 0.3266	LR: 0.004000
Training Epoch: 30 [12032/48700]	Loss: 0.3903	LR: 0.004000
Training Epoch: 30 [12288/48700]	Loss: 0.3828	LR: 0.004000
Training Epoch: 30 [12544/48700]	Loss: 0.4465	LR: 0.004000
Training Epoch: 30 [12800/48700]	Loss: 0.4127	LR: 0.004000
Training Epoch: 30 [13056/48700]	Loss: 0.3435	LR: 0.004000
Training Epoch: 30 [13312/48700]	Loss: 0.4427	LR: 0.004000
Training Epoch: 30 [13568/48700]	Loss: 0.4574	LR: 0.004000
Training Epoch: 30 [13824/48700]	Loss: 0.3902	LR: 0.004000
Training Epoch: 30 [14080/48700]	Loss: 0.3360	LR: 0.004000
Training Epoch: 30 [14336/48700]	Loss: 0.3968	LR: 0.004000
Training Epoch: 30 [14592/48700]	Loss: 0.4497	LR: 0.004000
Training Epoch: 30 [14848/48700]	Loss: 0.4001	LR: 0.004000
Training Epoch: 30 [15104/48700]	Loss: 0.3327	LR: 0.004000
Training Epoch: 30 [15360/48700]	Loss: 0.3964	LR: 0.004000
Training Epoch: 30 [15616/48700]	Loss: 0.3723	LR: 0.004000
Training Epoch: 30 [15872/48700]	Loss: 0.3832	LR: 0.004000
Training Epoch: 30 [16128/48700]	Loss: 0.4005	LR: 0.004000
Training Epoch: 30 [16384/48700]	Loss: 0.4608	LR: 0.004000
Training Epoch: 30 [16640/48700]	Loss: 0.3234	LR: 0.004000
Training Epoch: 30 [16896/48700]	Loss: 0.3356	LR: 0.004000
Training Epoch: 30 [17152/48700]	Loss: 0.3519	LR: 0.004000
Training Epoch: 30 [17408/48700]	Loss: 0.4133	LR: 0.004000
Training Epoch: 30 [17664/48700]	Loss: 0.4522	LR: 0.004000
Training Epoch: 30 [17920/48700]	Loss: 0.4833	LR: 0.004000
Training Epoch: 30 [18176/48700]	Loss: 0.3984	LR: 0.004000
Training Epoch: 30 [18432/48700]	Loss: 0.4002	LR: 0.004000
Training Epoch: 30 [18688/48700]	Loss: 0.4319	LR: 0.004000
Training Epoch: 30 [18944/48700]	Loss: 0.3605	LR: 0.004000
Training Epoch: 30 [19200/48700]	Loss: 0.3885	LR: 0.004000
Training Epoch: 30 [19456/48700]	Loss: 0.4573	LR: 0.004000
Training Epoch: 30 [19712/48700]	Loss: 0.3987	LR: 0.004000
Training Epoch: 30 [19968/48700]	Loss: 0.4630	LR: 0.004000
Training Epoch: 30 [20224/48700]	Loss: 0.3641	LR: 0.004000
Training Epoch: 30 [20480/48700]	Loss: 0.4115	LR: 0.004000
Training Epoch: 30 [20736/48700]	Loss: 0.4376	LR: 0.004000
Training Epoch: 30 [20992/48700]	Loss: 0.4320	LR: 0.004000
Training Epoch: 30 [21248/48700]	Loss: 0.4871	LR: 0.004000
Training Epoch: 30 [21504/48700]	Loss: 0.3787	LR: 0.004000
Training Epoch: 30 [21760/48700]	Loss: 0.3654	LR: 0.004000
Training Epoch: 30 [22016/48700]	Loss: 0.4048	LR: 0.004000
Training Epoch: 30 [22272/48700]	Loss: 0.3724	LR: 0.004000
Training Epoch: 30 [22528/48700]	Loss: 0.3868	LR: 0.004000
Training Epoch: 30 [22784/48700]	Loss: 0.3928	LR: 0.004000
Training Epoch: 30 [23040/48700]	Loss: 0.4076	LR: 0.004000
Training Epoch: 30 [23296/48700]	Loss: 0.3407	LR: 0.004000
Training Epoch: 30 [23552/48700]	Loss: 0.3970	LR: 0.004000
Training Epoch: 30 [23808/48700]	Loss: 0.4130	LR: 0.004000
Training Epoch: 30 [24064/48700]	Loss: 0.3258	LR: 0.004000
Training Epoch: 30 [24320/48700]	Loss: 0.4526	LR: 0.004000
Training Epoch: 30 [24576/48700]	Loss: 0.4160	LR: 0.004000
Training Epoch: 30 [24832/48700]	Loss: 0.3212	LR: 0.004000
Training Epoch: 30 [25088/48700]	Loss: 0.4419	LR: 0.004000
Training Epoch: 30 [25344/48700]	Loss: 0.3954	LR: 0.004000
Training Epoch: 30 [25600/48700]	Loss: 0.4286	LR: 0.004000
Training Epoch: 30 [25856/48700]	Loss: 0.3498	LR: 0.004000
Training Epoch: 30 [26112/48700]	Loss: 0.4235	LR: 0.004000
Training Epoch: 30 [26368/48700]	Loss: 0.4065	LR: 0.004000
Training Epoch: 30 [26624/48700]	Loss: 0.3762	LR: 0.004000
Training Epoch: 30 [26880/48700]	Loss: 0.4140	LR: 0.004000
Training Epoch: 30 [27136/48700]	Loss: 0.4586	LR: 0.004000
Training Epoch: 30 [27392/48700]	Loss: 0.3813	LR: 0.004000
Training Epoch: 30 [27648/48700]	Loss: 0.3756	LR: 0.004000
Training Epoch: 30 [27904/48700]	Loss: 0.3262	LR: 0.004000
Training Epoch: 30 [28160/48700]	Loss: 0.3093	LR: 0.004000
Training Epoch: 30 [28416/48700]	Loss: 0.3260	LR: 0.004000
Training Epoch: 30 [28672/48700]	Loss: 0.4022	LR: 0.004000
Training Epoch: 30 [28928/48700]	Loss: 0.3696	LR: 0.004000
Training Epoch: 30 [29184/48700]	Loss: 0.3435	LR: 0.004000
Training Epoch: 30 [29440/48700]	Loss: 0.3866	LR: 0.004000
Training Epoch: 30 [29696/48700]	Loss: 0.3122	LR: 0.004000
Training Epoch: 30 [29952/48700]	Loss: 0.4420	LR: 0.004000
Training Epoch: 30 [30208/48700]	Loss: 0.3516	LR: 0.004000
Training Epoch: 30 [30464/48700]	Loss: 0.2767	LR: 0.004000
Training Epoch: 30 [30720/48700]	Loss: 0.3915	LR: 0.004000
Training Epoch: 30 [30976/48700]	Loss: 0.3603	LR: 0.004000
Training Epoch: 30 [31232/48700]	Loss: 0.2975	LR: 0.004000
Training Epoch: 30 [31488/48700]	Loss: 0.4398	LR: 0.004000
Training Epoch: 30 [31744/48700]	Loss: 0.3793	LR: 0.004000
Training Epoch: 30 [32000/48700]	Loss: 0.4183	LR: 0.004000
Training Epoch: 30 [32256/48700]	Loss: 0.3510	LR: 0.004000
Training Epoch: 30 [32512/48700]	Loss: 0.3584	LR: 0.004000
Training Epoch: 30 [32768/48700]	Loss: 0.3630	LR: 0.004000
Training Epoch: 30 [33024/48700]	Loss: 0.4214	LR: 0.004000
Training Epoch: 30 [33280/48700]	Loss: 0.3756	LR: 0.004000
Training Epoch: 30 [33536/48700]	Loss: 0.3907	LR: 0.004000
Training Epoch: 30 [33792/48700]	Loss: 0.4507	LR: 0.004000
Training Epoch: 30 [34048/48700]	Loss: 0.3711	LR: 0.004000
Training Epoch: 30 [34304/48700]	Loss: 0.3883	LR: 0.004000
Training Epoch: 30 [34560/48700]	Loss: 0.3864	LR: 0.004000
Training Epoch: 30 [34816/48700]	Loss: 0.4006	LR: 0.004000
Training Epoch: 30 [35072/48700]	Loss: 0.3535	LR: 0.004000
Training Epoch: 30 [35328/48700]	Loss: 0.4138	LR: 0.004000
Training Epoch: 30 [35584/48700]	Loss: 0.3545	LR: 0.004000
Training Epoch: 30 [35840/48700]	Loss: 0.4340	LR: 0.004000
Training Epoch: 30 [36096/48700]	Loss: 0.3961	LR: 0.004000
Training Epoch: 30 [36352/48700]	Loss: 0.2968	LR: 0.004000
Training Epoch: 30 [36608/48700]	Loss: 0.4519	LR: 0.004000
Training Epoch: 30 [36864/48700]	Loss: 0.3808	LR: 0.004000
Training Epoch: 30 [37120/48700]	Loss: 0.4351	LR: 0.004000
Training Epoch: 30 [37376/48700]	Loss: 0.3492	LR: 0.004000
Training Epoch: 30 [37632/48700]	Loss: 0.3938	LR: 0.004000
Training Epoch: 30 [37888/48700]	Loss: 0.3972	LR: 0.004000
Training Epoch: 30 [38144/48700]	Loss: 0.4342	LR: 0.004000
Training Epoch: 30 [38400/48700]	Loss: 0.3413	LR: 0.004000
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Training Epoch: 30 [43776/48700]	Loss: 0.3534	LR: 0.004000
Training Epoch: 30 [44032/48700]	Loss: 0.3274	LR: 0.004000
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Training Epoch: 30 [44544/48700]	Loss: 0.3673	LR: 0.004000
Training Epoch: 30 [44800/48700]	Loss: 0.3939	LR: 0.004000
Training Epoch: 30 [45056/48700]	Loss: 0.3380	LR: 0.004000
Training Epoch: 30 [45312/48700]	Loss: 0.3537	LR: 0.004000
Training Epoch: 30 [45568/48700]	Loss: 0.4043	LR: 0.004000
Training Epoch: 30 [45824/48700]	Loss: 0.4048	LR: 0.004000
Training Epoch: 30 [46080/48700]	Loss: 0.3738	LR: 0.004000
Training Epoch: 30 [46336/48700]	Loss: 0.4238	LR: 0.004000
Training Epoch: 30 [46592/48700]	Loss: 0.4725	LR: 0.004000
Training Epoch: 30 [46848/48700]	Loss: 0.3919	LR: 0.004000
Training Epoch: 30 [47104/48700]	Loss: 0.3608	LR: 0.004000
Training Epoch: 30 [47360/48700]	Loss: 0.5226	LR: 0.004000
Training Epoch: 30 [47616/48700]	Loss: 0.3993	LR: 0.004000
Training Epoch: 30 [47872/48700]	Loss: 0.4050	LR: 0.004000
Training Epoch: 30 [48128/48700]	Loss: 0.3625	LR: 0.004000
Training Epoch: 30 [48384/48700]	Loss: 0.4657	LR: 0.004000
Training Epoch: 30 [48640/48700]	Loss: 0.4087	LR: 0.004000
Training Epoch: 30 [48700/48700]	Loss: 0.3586	LR: 0.004000
Epoch 30 - Average Train Loss: 0.4036, Train Accuracy: 0.8739
Epoch 30 training time consumed: 26.62s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0029, Accuracy: 0.7743, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-30-best.pth
Training Epoch: 31 [256/48700]	Loss: 0.3290	LR: 0.004000
Training Epoch: 31 [512/48700]	Loss: 0.4466	LR: 0.004000
Training Epoch: 31 [768/48700]	Loss: 0.3221	LR: 0.004000
Training Epoch: 31 [1024/48700]	Loss: 0.2987	LR: 0.004000
Training Epoch: 31 [1280/48700]	Loss: 0.3199	LR: 0.004000
Training Epoch: 31 [1536/48700]	Loss: 0.3935	LR: 0.004000
Training Epoch: 31 [1792/48700]	Loss: 0.4479	LR: 0.004000
Training Epoch: 31 [2048/48700]	Loss: 0.3477	LR: 0.004000
Training Epoch: 31 [2304/48700]	Loss: 0.4055	LR: 0.004000
Training Epoch: 31 [2560/48700]	Loss: 0.3420	LR: 0.004000
Training Epoch: 31 [2816/48700]	Loss: 0.2917	LR: 0.004000
Training Epoch: 31 [3072/48700]	Loss: 0.3511	LR: 0.004000
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Training Epoch: 31 [45056/48700]	Loss: 0.4614	LR: 0.004000
Training Epoch: 31 [45312/48700]	Loss: 0.4050	LR: 0.004000
Training Epoch: 31 [45568/48700]	Loss: 0.3861	LR: 0.004000
Training Epoch: 31 [45824/48700]	Loss: 0.3312	LR: 0.004000
Training Epoch: 31 [46080/48700]	Loss: 0.3493	LR: 0.004000
Training Epoch: 31 [46336/48700]	Loss: 0.3608	LR: 0.004000
Training Epoch: 31 [46592/48700]	Loss: 0.3436	LR: 0.004000
Training Epoch: 31 [46848/48700]	Loss: 0.3370	LR: 0.004000
Training Epoch: 31 [47104/48700]	Loss: 0.3381	LR: 0.004000
Training Epoch: 31 [47360/48700]	Loss: 0.3303	LR: 0.004000
Training Epoch: 31 [47616/48700]	Loss: 0.4183	LR: 0.004000
Training Epoch: 31 [47872/48700]	Loss: 0.3173	LR: 0.004000
Training Epoch: 31 [48128/48700]	Loss: 0.3386	LR: 0.004000
Training Epoch: 31 [48384/48700]	Loss: 0.3653	LR: 0.004000
Training Epoch: 31 [48640/48700]	Loss: 0.3793	LR: 0.004000
Training Epoch: 31 [48700/48700]	Loss: 0.3450	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3629, Train Accuracy: 0.8898
Epoch 31 training time consumed: 26.64s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0029, Accuracy: 0.7828, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-31-best.pth
Training Epoch: 32 [256/48700]	Loss: 0.2552	LR: 0.004000
Training Epoch: 32 [512/48700]	Loss: 0.3352	LR: 0.004000
Training Epoch: 32 [768/48700]	Loss: 0.3836	LR: 0.004000
Training Epoch: 32 [1024/48700]	Loss: 0.3602	LR: 0.004000
Training Epoch: 32 [1280/48700]	Loss: 0.3871	LR: 0.004000
Training Epoch: 32 [1536/48700]	Loss: 0.3164	LR: 0.004000
Training Epoch: 32 [1792/48700]	Loss: 0.3845	LR: 0.004000
Training Epoch: 32 [2048/48700]	Loss: 0.2681	LR: 0.004000
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Training Epoch: 32 [2560/48700]	Loss: 0.2660	LR: 0.004000
Training Epoch: 32 [2816/48700]	Loss: 0.3544	LR: 0.004000
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Training Epoch: 32 [3328/48700]	Loss: 0.3084	LR: 0.004000
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Training Epoch: 32 [12288/48700]	Loss: 0.3805	LR: 0.004000
Training Epoch: 32 [12544/48700]	Loss: 0.3718	LR: 0.004000
Training Epoch: 32 [12800/48700]	Loss: 0.2760	LR: 0.004000
Training Epoch: 32 [13056/48700]	Loss: 0.3125	LR: 0.004000
Training Epoch: 32 [13312/48700]	Loss: 0.3390	LR: 0.004000
Training Epoch: 32 [13568/48700]	Loss: 0.3512	LR: 0.004000
Training Epoch: 32 [13824/48700]	Loss: 0.3522	LR: 0.004000
Training Epoch: 32 [14080/48700]	Loss: 0.3271	LR: 0.004000
Training Epoch: 32 [14336/48700]	Loss: 0.4049	LR: 0.004000
Training Epoch: 32 [14592/48700]	Loss: 0.3766	LR: 0.004000
Training Epoch: 32 [14848/48700]	Loss: 0.4059	LR: 0.004000
Training Epoch: 32 [15104/48700]	Loss: 0.3900	LR: 0.004000
Training Epoch: 32 [15360/48700]	Loss: 0.3541	LR: 0.004000
Training Epoch: 32 [15616/48700]	Loss: 0.4189	LR: 0.004000
Training Epoch: 32 [15872/48700]	Loss: 0.2940	LR: 0.004000
Training Epoch: 32 [16128/48700]	Loss: 0.3225	LR: 0.004000
Training Epoch: 32 [16384/48700]	Loss: 0.3008	LR: 0.004000
Training Epoch: 32 [16640/48700]	Loss: 0.3172	LR: 0.004000
Training Epoch: 32 [16896/48700]	Loss: 0.2870	LR: 0.004000
Training Epoch: 32 [17152/48700]	Loss: 0.2861	LR: 0.004000
Training Epoch: 32 [17408/48700]	Loss: 0.2395	LR: 0.004000
Training Epoch: 32 [17664/48700]	Loss: 0.3847	LR: 0.004000
Training Epoch: 32 [17920/48700]	Loss: 0.3602	LR: 0.004000
Training Epoch: 32 [18176/48700]	Loss: 0.2892	LR: 0.004000
Training Epoch: 32 [18432/48700]	Loss: 0.3891	LR: 0.004000
Training Epoch: 32 [18688/48700]	Loss: 0.3177	LR: 0.004000
Training Epoch: 32 [18944/48700]	Loss: 0.3834	LR: 0.004000
Training Epoch: 32 [19200/48700]	Loss: 0.3156	LR: 0.004000
Training Epoch: 32 [19456/48700]	Loss: 0.3269	LR: 0.004000
Training Epoch: 32 [19712/48700]	Loss: 0.3409	LR: 0.004000
Training Epoch: 32 [19968/48700]	Loss: 0.3777	LR: 0.004000
Training Epoch: 32 [20224/48700]	Loss: 0.3013	LR: 0.004000
Training Epoch: 32 [20480/48700]	Loss: 0.4180	LR: 0.004000
Training Epoch: 32 [20736/48700]	Loss: 0.3510	LR: 0.004000
Training Epoch: 32 [20992/48700]	Loss: 0.4351	LR: 0.004000
Training Epoch: 32 [21248/48700]	Loss: 0.3196	LR: 0.004000
Training Epoch: 32 [21504/48700]	Loss: 0.2699	LR: 0.004000
Training Epoch: 32 [21760/48700]	Loss: 0.3524	LR: 0.004000
Training Epoch: 32 [22016/48700]	Loss: 0.2892	LR: 0.004000
Training Epoch: 32 [22272/48700]	Loss: 0.3781	LR: 0.004000
Training Epoch: 32 [22528/48700]	Loss: 0.3894	LR: 0.004000
Training Epoch: 32 [22784/48700]	Loss: 0.3208	LR: 0.004000
Training Epoch: 32 [23040/48700]	Loss: 0.3807	LR: 0.004000
Training Epoch: 32 [23296/48700]	Loss: 0.3496	LR: 0.004000
Training Epoch: 32 [23552/48700]	Loss: 0.3124	LR: 0.004000
Training Epoch: 32 [23808/48700]	Loss: 0.3700	LR: 0.004000
Training Epoch: 32 [24064/48700]	Loss: 0.3342	LR: 0.004000
Training Epoch: 32 [24320/48700]	Loss: 0.3391	LR: 0.004000
Training Epoch: 32 [24576/48700]	Loss: 0.2620	LR: 0.004000
Training Epoch: 32 [24832/48700]	Loss: 0.3907	LR: 0.004000
Training Epoch: 32 [25088/48700]	Loss: 0.2844	LR: 0.004000
Training Epoch: 32 [25344/48700]	Loss: 0.4544	LR: 0.004000
Training Epoch: 32 [25600/48700]	Loss: 0.3189	LR: 0.004000
Training Epoch: 32 [25856/48700]	Loss: 0.3581	LR: 0.004000
Training Epoch: 32 [26112/48700]	Loss: 0.3776	LR: 0.004000
Training Epoch: 32 [26368/48700]	Loss: 0.3271	LR: 0.004000
Training Epoch: 32 [26624/48700]	Loss: 0.3447	LR: 0.004000
Training Epoch: 32 [26880/48700]	Loss: 0.3268	LR: 0.004000
Training Epoch: 32 [27136/48700]	Loss: 0.3369	LR: 0.004000
Training Epoch: 32 [27392/48700]	Loss: 0.3107	LR: 0.004000
Training Epoch: 32 [27648/48700]	Loss: 0.3450	LR: 0.004000
Training Epoch: 32 [27904/48700]	Loss: 0.3134	LR: 0.004000
Training Epoch: 32 [28160/48700]	Loss: 0.3969	LR: 0.004000
Training Epoch: 32 [28416/48700]	Loss: 0.3541	LR: 0.004000
Training Epoch: 32 [28672/48700]	Loss: 0.3393	LR: 0.004000
Training Epoch: 32 [28928/48700]	Loss: 0.3620	LR: 0.004000
Training Epoch: 32 [29184/48700]	Loss: 0.3394	LR: 0.004000
Training Epoch: 32 [29440/48700]	Loss: 0.3737	LR: 0.004000
Training Epoch: 32 [29696/48700]	Loss: 0.3629	LR: 0.004000
Training Epoch: 32 [29952/48700]	Loss: 0.2584	LR: 0.004000
Training Epoch: 32 [30208/48700]	Loss: 0.3732	LR: 0.004000
Training Epoch: 32 [30464/48700]	Loss: 0.3569	LR: 0.004000
Training Epoch: 32 [30720/48700]	Loss: 0.3145	LR: 0.004000
Training Epoch: 32 [30976/48700]	Loss: 0.3501	LR: 0.004000
Training Epoch: 32 [31232/48700]	Loss: 0.3058	LR: 0.004000
Training Epoch: 32 [31488/48700]	Loss: 0.3758	LR: 0.004000
Training Epoch: 32 [31744/48700]	Loss: 0.3582	LR: 0.004000
Training Epoch: 32 [32000/48700]	Loss: 0.3286	LR: 0.004000
Training Epoch: 32 [32256/48700]	Loss: 0.3420	LR: 0.004000
Training Epoch: 32 [32512/48700]	Loss: 0.3814	LR: 0.004000
Training Epoch: 32 [32768/48700]	Loss: 0.3538	LR: 0.004000
Training Epoch: 32 [33024/48700]	Loss: 0.3429	LR: 0.004000
Training Epoch: 32 [33280/48700]	Loss: 0.3547	LR: 0.004000
Training Epoch: 32 [33536/48700]	Loss: 0.3500	LR: 0.004000
Training Epoch: 32 [33792/48700]	Loss: 0.3150	LR: 0.004000
Training Epoch: 32 [34048/48700]	Loss: 0.2979	LR: 0.004000
Training Epoch: 32 [34304/48700]	Loss: 0.4607	LR: 0.004000
Training Epoch: 32 [34560/48700]	Loss: 0.3741	LR: 0.004000
Training Epoch: 32 [34816/48700]	Loss: 0.2849	LR: 0.004000
Training Epoch: 32 [35072/48700]	Loss: 0.3615	LR: 0.004000
Training Epoch: 32 [35328/48700]	Loss: 0.4034	LR: 0.004000
Training Epoch: 32 [35584/48700]	Loss: 0.3291	LR: 0.004000
Training Epoch: 32 [35840/48700]	Loss: 0.3034	LR: 0.004000
Training Epoch: 32 [36096/48700]	Loss: 0.3552	LR: 0.004000
Training Epoch: 32 [36352/48700]	Loss: 0.3326	LR: 0.004000
Training Epoch: 32 [36608/48700]	Loss: 0.3849	LR: 0.004000
Training Epoch: 32 [36864/48700]	Loss: 0.4003	LR: 0.004000
Training Epoch: 32 [37120/48700]	Loss: 0.3199	LR: 0.004000
Training Epoch: 32 [37376/48700]	Loss: 0.3551	LR: 0.004000
Training Epoch: 32 [37632/48700]	Loss: 0.3063	LR: 0.004000
Training Epoch: 32 [37888/48700]	Loss: 0.3365	LR: 0.004000
Training Epoch: 32 [38144/48700]	Loss: 0.3538	LR: 0.004000
Training Epoch: 32 [38400/48700]	Loss: 0.3110	LR: 0.004000
Training Epoch: 32 [38656/48700]	Loss: 0.3465	LR: 0.004000
Training Epoch: 32 [38912/48700]	Loss: 0.3959	LR: 0.004000
Training Epoch: 32 [39168/48700]	Loss: 0.3017	LR: 0.004000
Training Epoch: 32 [39424/48700]	Loss: 0.4997	LR: 0.004000
Training Epoch: 32 [39680/48700]	Loss: 0.3698	LR: 0.004000
Training Epoch: 32 [39936/48700]	Loss: 0.3897	LR: 0.004000
Training Epoch: 32 [40192/48700]	Loss: 0.4439	LR: 0.004000
Training Epoch: 32 [40448/48700]	Loss: 0.3885	LR: 0.004000
Training Epoch: 32 [40704/48700]	Loss: 0.3341	LR: 0.004000
Training Epoch: 32 [40960/48700]	Loss: 0.4016	LR: 0.004000
Training Epoch: 32 [41216/48700]	Loss: 0.3101	LR: 0.004000
Training Epoch: 32 [41472/48700]	Loss: 0.3884	LR: 0.004000
Training Epoch: 32 [41728/48700]	Loss: 0.3457	LR: 0.004000
Training Epoch: 32 [41984/48700]	Loss: 0.3583	LR: 0.004000
Training Epoch: 32 [42240/48700]	Loss: 0.4674	LR: 0.004000
Training Epoch: 32 [42496/48700]	Loss: 0.3194	LR: 0.004000
Training Epoch: 32 [42752/48700]	Loss: 0.3019	LR: 0.004000
Training Epoch: 32 [43008/48700]	Loss: 0.2840	LR: 0.004000
Training Epoch: 32 [43264/48700]	Loss: 0.3032	LR: 0.004000
Training Epoch: 32 [43520/48700]	Loss: 0.3112	LR: 0.004000
Training Epoch: 32 [43776/48700]	Loss: 0.3563	LR: 0.004000
Training Epoch: 32 [44032/48700]	Loss: 0.3125	LR: 0.004000
Training Epoch: 32 [44288/48700]	Loss: 0.3797	LR: 0.004000
Training Epoch: 32 [44544/48700]	Loss: 0.3176	LR: 0.004000
Training Epoch: 32 [44800/48700]	Loss: 0.3823	LR: 0.004000
Training Epoch: 32 [45056/48700]	Loss: 0.2836	LR: 0.004000
Training Epoch: 32 [45312/48700]	Loss: 0.3574	LR: 0.004000
Training Epoch: 32 [45568/48700]	Loss: 0.3884	LR: 0.004000
Training Epoch: 32 [45824/48700]	Loss: 0.3485	LR: 0.004000
Training Epoch: 32 [46080/48700]	Loss: 0.3414	LR: 0.004000
Training Epoch: 32 [46336/48700]	Loss: 0.3953	LR: 0.004000
Training Epoch: 32 [46592/48700]	Loss: 0.3901	LR: 0.004000
Training Epoch: 32 [46848/48700]	Loss: 0.3006	LR: 0.004000
Training Epoch: 32 [47104/48700]	Loss: 0.3487	LR: 0.004000
Training Epoch: 32 [47360/48700]	Loss: 0.3252	LR: 0.004000
Training Epoch: 32 [47616/48700]	Loss: 0.3547	LR: 0.004000
Training Epoch: 32 [47872/48700]	Loss: 0.3728	LR: 0.004000
Training Epoch: 32 [48128/48700]	Loss: 0.3423	LR: 0.004000
Training Epoch: 32 [48384/48700]	Loss: 0.3409	LR: 0.004000
Training Epoch: 32 [48640/48700]	Loss: 0.3803	LR: 0.004000
Training Epoch: 32 [48700/48700]	Loss: 0.4407	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3469, Train Accuracy: 0.8936
Epoch 32 training time consumed: 26.62s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7791, Time consumed:0.90s
Training Epoch: 33 [256/48700]	Loss: 0.3507	LR: 0.004000
Training Epoch: 33 [512/48700]	Loss: 0.2692	LR: 0.004000
Training Epoch: 33 [768/48700]	Loss: 0.3244	LR: 0.004000
Training Epoch: 33 [1024/48700]	Loss: 0.3296	LR: 0.004000
Training Epoch: 33 [1280/48700]	Loss: 0.3161	LR: 0.004000
Training Epoch: 33 [1536/48700]	Loss: 0.3103	LR: 0.004000
Training Epoch: 33 [1792/48700]	Loss: 0.2942	LR: 0.004000
Training Epoch: 33 [2048/48700]	Loss: 0.3100	LR: 0.004000
Training Epoch: 33 [2304/48700]	Loss: 0.3484	LR: 0.004000
Training Epoch: 33 [2560/48700]	Loss: 0.3105	LR: 0.004000
Training Epoch: 33 [2816/48700]	Loss: 0.2929	LR: 0.004000
Training Epoch: 33 [3072/48700]	Loss: 0.3106	LR: 0.004000
Training Epoch: 33 [3328/48700]	Loss: 0.2861	LR: 0.004000
Training Epoch: 33 [3584/48700]	Loss: 0.2878	LR: 0.004000
Training Epoch: 33 [3840/48700]	Loss: 0.3937	LR: 0.004000
Training Epoch: 33 [4096/48700]	Loss: 0.2795	LR: 0.004000
Training Epoch: 33 [4352/48700]	Loss: 0.3379	LR: 0.004000
Training Epoch: 33 [4608/48700]	Loss: 0.3056	LR: 0.004000
Training Epoch: 33 [4864/48700]	Loss: 0.2949	LR: 0.004000
Training Epoch: 33 [5120/48700]	Loss: 0.3233	LR: 0.004000
Training Epoch: 33 [5376/48700]	Loss: 0.3512	LR: 0.004000
Training Epoch: 33 [5632/48700]	Loss: 0.3238	LR: 0.004000
Training Epoch: 33 [5888/48700]	Loss: 0.3385	LR: 0.004000
Training Epoch: 33 [6144/48700]	Loss: 0.3488	LR: 0.004000
Training Epoch: 33 [6400/48700]	Loss: 0.3881	LR: 0.004000
Training Epoch: 33 [6656/48700]	Loss: 0.2736	LR: 0.004000
Training Epoch: 33 [6912/48700]	Loss: 0.3106	LR: 0.004000
Training Epoch: 33 [7168/48700]	Loss: 0.3645	LR: 0.004000
Training Epoch: 33 [7424/48700]	Loss: 0.3606	LR: 0.004000
Training Epoch: 33 [7680/48700]	Loss: 0.3194	LR: 0.004000
Training Epoch: 33 [7936/48700]	Loss: 0.3305	LR: 0.004000
Training Epoch: 33 [8192/48700]	Loss: 0.3206	LR: 0.004000
Training Epoch: 33 [8448/48700]	Loss: 0.2825	LR: 0.004000
Training Epoch: 33 [8704/48700]	Loss: 0.3688	LR: 0.004000
Training Epoch: 33 [8960/48700]	Loss: 0.3800	LR: 0.004000
Training Epoch: 33 [9216/48700]	Loss: 0.2953	LR: 0.004000
Training Epoch: 33 [9472/48700]	Loss: 0.3293	LR: 0.004000
Training Epoch: 33 [9728/48700]	Loss: 0.3945	LR: 0.004000
Training Epoch: 33 [9984/48700]	Loss: 0.3414	LR: 0.004000
Training Epoch: 33 [10240/48700]	Loss: 0.3881	LR: 0.004000
Training Epoch: 33 [10496/48700]	Loss: 0.3933	LR: 0.004000
Training Epoch: 33 [10752/48700]	Loss: 0.3612	LR: 0.004000
Training Epoch: 33 [11008/48700]	Loss: 0.2898	LR: 0.004000
Training Epoch: 33 [11264/48700]	Loss: 0.3413	LR: 0.004000
Training Epoch: 33 [11520/48700]	Loss: 0.4244	LR: 0.004000
Training Epoch: 33 [11776/48700]	Loss: 0.3510	LR: 0.004000
Training Epoch: 33 [12032/48700]	Loss: 0.3703	LR: 0.004000
Training Epoch: 33 [12288/48700]	Loss: 0.3992	LR: 0.004000
Training Epoch: 33 [12544/48700]	Loss: 0.3048	LR: 0.004000
Training Epoch: 33 [12800/48700]	Loss: 0.3268	LR: 0.004000
Training Epoch: 33 [13056/48700]	Loss: 0.3492	LR: 0.004000
Training Epoch: 33 [13312/48700]	Loss: 0.3341	LR: 0.004000
Training Epoch: 33 [13568/48700]	Loss: 0.3932	LR: 0.004000
Training Epoch: 33 [13824/48700]	Loss: 0.4335	LR: 0.004000
Training Epoch: 33 [14080/48700]	Loss: 0.3467	LR: 0.004000
Training Epoch: 33 [14336/48700]	Loss: 0.3479	LR: 0.004000
Training Epoch: 33 [14592/48700]	Loss: 0.3017	LR: 0.004000
Training Epoch: 33 [14848/48700]	Loss: 0.3646	LR: 0.004000
Training Epoch: 33 [15104/48700]	Loss: 0.2562	LR: 0.004000
Training Epoch: 33 [15360/48700]	Loss: 0.3807	LR: 0.004000
Training Epoch: 33 [15616/48700]	Loss: 0.2810	LR: 0.004000
Training Epoch: 33 [15872/48700]	Loss: 0.3301	LR: 0.004000
Training Epoch: 33 [16128/48700]	Loss: 0.3295	LR: 0.004000
Training Epoch: 33 [16384/48700]	Loss: 0.3513	LR: 0.004000
Training Epoch: 33 [16640/48700]	Loss: 0.4564	LR: 0.004000
Training Epoch: 33 [16896/48700]	Loss: 0.2648	LR: 0.004000
Training Epoch: 33 [17152/48700]	Loss: 0.3477	LR: 0.004000
Training Epoch: 33 [17408/48700]	Loss: 0.3124	LR: 0.004000
Training Epoch: 33 [17664/48700]	Loss: 0.4183	LR: 0.004000
Training Epoch: 33 [17920/48700]	Loss: 0.3635	LR: 0.004000
Training Epoch: 33 [18176/48700]	Loss: 0.2888	LR: 0.004000
Training Epoch: 33 [18432/48700]	Loss: 0.3503	LR: 0.004000
Training Epoch: 33 [18688/48700]	Loss: 0.3686	LR: 0.004000
Training Epoch: 33 [18944/48700]	Loss: 0.3437	LR: 0.004000
Training Epoch: 33 [19200/48700]	Loss: 0.2761	LR: 0.004000
Training Epoch: 33 [19456/48700]	Loss: 0.2679	LR: 0.004000
Training Epoch: 33 [19712/48700]	Loss: 0.4008	LR: 0.004000
Training Epoch: 33 [19968/48700]	Loss: 0.3920	LR: 0.004000
Training Epoch: 33 [20224/48700]	Loss: 0.3339	LR: 0.004000
Training Epoch: 33 [20480/48700]	Loss: 0.2773	LR: 0.004000
Training Epoch: 33 [20736/48700]	Loss: 0.3419	LR: 0.004000
Training Epoch: 33 [20992/48700]	Loss: 0.3381	LR: 0.004000
Training Epoch: 33 [21248/48700]	Loss: 0.3876	LR: 0.004000
Training Epoch: 33 [21504/48700]	Loss: 0.3398	LR: 0.004000
Training Epoch: 33 [21760/48700]	Loss: 0.4119	LR: 0.004000
Training Epoch: 33 [22016/48700]	Loss: 0.3019	LR: 0.004000
Training Epoch: 33 [22272/48700]	Loss: 0.3541	LR: 0.004000
Training Epoch: 33 [22528/48700]	Loss: 0.3561	LR: 0.004000
Training Epoch: 33 [22784/48700]	Loss: 0.2891	LR: 0.004000
Training Epoch: 33 [23040/48700]	Loss: 0.2262	LR: 0.004000
Training Epoch: 33 [23296/48700]	Loss: 0.3275	LR: 0.004000
Training Epoch: 33 [23552/48700]	Loss: 0.3315	LR: 0.004000
Training Epoch: 33 [23808/48700]	Loss: 0.3800	LR: 0.004000
Training Epoch: 33 [24064/48700]	Loss: 0.2706	LR: 0.004000
Training Epoch: 33 [24320/48700]	Loss: 0.4184	LR: 0.004000
Training Epoch: 33 [24576/48700]	Loss: 0.3181	LR: 0.004000
Training Epoch: 33 [24832/48700]	Loss: 0.2863	LR: 0.004000
Training Epoch: 33 [25088/48700]	Loss: 0.2807	LR: 0.004000
Training Epoch: 33 [25344/48700]	Loss: 0.2910	LR: 0.004000
Training Epoch: 33 [25600/48700]	Loss: 0.3412	LR: 0.004000
Training Epoch: 33 [25856/48700]	Loss: 0.3752	LR: 0.004000
Training Epoch: 33 [26112/48700]	Loss: 0.3450	LR: 0.004000
Training Epoch: 33 [26368/48700]	Loss: 0.3633	LR: 0.004000
Training Epoch: 33 [26624/48700]	Loss: 0.3570	LR: 0.004000
Training Epoch: 33 [26880/48700]	Loss: 0.3342	LR: 0.004000
Training Epoch: 33 [27136/48700]	Loss: 0.3486	LR: 0.004000
Training Epoch: 33 [27392/48700]	Loss: 0.4276	LR: 0.004000
Training Epoch: 33 [27648/48700]	Loss: 0.3046	LR: 0.004000
Training Epoch: 33 [27904/48700]	Loss: 0.3769	LR: 0.004000
Training Epoch: 33 [28160/48700]	Loss: 0.3089	LR: 0.004000
Training Epoch: 33 [28416/48700]	Loss: 0.3254	LR: 0.004000
Training Epoch: 33 [28672/48700]	Loss: 0.3119	LR: 0.004000
Training Epoch: 33 [28928/48700]	Loss: 0.2763	LR: 0.004000
Training Epoch: 33 [29184/48700]	Loss: 0.3447	LR: 0.004000
Training Epoch: 33 [29440/48700]	Loss: 0.3467	LR: 0.004000
Training Epoch: 33 [29696/48700]	Loss: 0.3437	LR: 0.004000
Training Epoch: 33 [29952/48700]	Loss: 0.3739	LR: 0.004000
Training Epoch: 33 [30208/48700]	Loss: 0.3007	LR: 0.004000
Training Epoch: 33 [30464/48700]	Loss: 0.3734	LR: 0.004000
Training Epoch: 33 [30720/48700]	Loss: 0.3177	LR: 0.004000
Training Epoch: 33 [30976/48700]	Loss: 0.2941	LR: 0.004000
Training Epoch: 33 [31232/48700]	Loss: 0.3021	LR: 0.004000
Training Epoch: 33 [31488/48700]	Loss: 0.3316	LR: 0.004000
Training Epoch: 33 [31744/48700]	Loss: 0.3971	LR: 0.004000
Training Epoch: 33 [32000/48700]	Loss: 0.3459	LR: 0.004000
Training Epoch: 33 [32256/48700]	Loss: 0.3774	LR: 0.004000
Training Epoch: 33 [32512/48700]	Loss: 0.3630	LR: 0.004000
Training Epoch: 33 [32768/48700]	Loss: 0.3462	LR: 0.004000
Training Epoch: 33 [33024/48700]	Loss: 0.3725	LR: 0.004000
Training Epoch: 33 [33280/48700]	Loss: 0.3421	LR: 0.004000
Training Epoch: 33 [33536/48700]	Loss: 0.2545	LR: 0.004000
Training Epoch: 33 [33792/48700]	Loss: 0.2832	LR: 0.004000
Training Epoch: 33 [34048/48700]	Loss: 0.3357	LR: 0.004000
Training Epoch: 33 [34304/48700]	Loss: 0.3930	LR: 0.004000
Training Epoch: 33 [34560/48700]	Loss: 0.4165	LR: 0.004000
Training Epoch: 33 [34816/48700]	Loss: 0.3202	LR: 0.004000
Training Epoch: 33 [35072/48700]	Loss: 0.2841	LR: 0.004000
Training Epoch: 33 [35328/48700]	Loss: 0.3386	LR: 0.004000
Training Epoch: 33 [35584/48700]	Loss: 0.2981	LR: 0.004000
Training Epoch: 33 [35840/48700]	Loss: 0.3114	LR: 0.004000
Training Epoch: 33 [36096/48700]	Loss: 0.3247	LR: 0.004000
Training Epoch: 33 [36352/48700]	Loss: 0.2708	LR: 0.004000
Training Epoch: 33 [36608/48700]	Loss: 0.3196	LR: 0.004000
Training Epoch: 33 [36864/48700]	Loss: 0.3716	LR: 0.004000
Training Epoch: 33 [37120/48700]	Loss: 0.3610	LR: 0.004000
Training Epoch: 33 [37376/48700]	Loss: 0.3655	LR: 0.004000
Training Epoch: 33 [37632/48700]	Loss: 0.3297	LR: 0.004000
Training Epoch: 33 [37888/48700]	Loss: 0.3450	LR: 0.004000
Training Epoch: 33 [38144/48700]	Loss: 0.2878	LR: 0.004000
Training Epoch: 33 [38400/48700]	Loss: 0.3662	LR: 0.004000
Training Epoch: 33 [38656/48700]	Loss: 0.3337	LR: 0.004000
Training Epoch: 33 [38912/48700]	Loss: 0.2092	LR: 0.004000
Training Epoch: 33 [39168/48700]	Loss: 0.3134	LR: 0.004000
Training Epoch: 33 [39424/48700]	Loss: 0.3195	LR: 0.004000
Training Epoch: 33 [39680/48700]	Loss: 0.3356	LR: 0.004000
Training Epoch: 33 [39936/48700]	Loss: 0.3655	LR: 0.004000
Training Epoch: 33 [40192/48700]	Loss: 0.3681	LR: 0.004000
Training Epoch: 33 [40448/48700]	Loss: 0.3240	LR: 0.004000
Training Epoch: 33 [40704/48700]	Loss: 0.2661	LR: 0.004000
Training Epoch: 33 [40960/48700]	Loss: 0.3513	LR: 0.004000
Training Epoch: 33 [41216/48700]	Loss: 0.3786	LR: 0.004000
Training Epoch: 33 [41472/48700]	Loss: 0.3230	LR: 0.004000
Training Epoch: 33 [41728/48700]	Loss: 0.3490	LR: 0.004000
Training Epoch: 33 [41984/48700]	Loss: 0.2824	LR: 0.004000
Training Epoch: 33 [42240/48700]	Loss: 0.3167	LR: 0.004000
Training Epoch: 33 [42496/48700]	Loss: 0.3910	LR: 0.004000
Training Epoch: 33 [42752/48700]	Loss: 0.3172	LR: 0.004000
Training Epoch: 33 [43008/48700]	Loss: 0.3297	LR: 0.004000
Training Epoch: 33 [43264/48700]	Loss: 0.3342	LR: 0.004000
Training Epoch: 33 [43520/48700]	Loss: 0.3427	LR: 0.004000
Training Epoch: 33 [43776/48700]	Loss: 0.2713	LR: 0.004000
Training Epoch: 33 [44032/48700]	Loss: 0.3206	LR: 0.004000
Training Epoch: 33 [44288/48700]	Loss: 0.3794	LR: 0.004000
Training Epoch: 33 [44544/48700]	Loss: 0.3882	LR: 0.004000
Training Epoch: 33 [44800/48700]	Loss: 0.4164	LR: 0.004000
Training Epoch: 33 [45056/48700]	Loss: 0.3487	LR: 0.004000
Training Epoch: 33 [45312/48700]	Loss: 0.3441	LR: 0.004000
Training Epoch: 33 [45568/48700]	Loss: 0.3668	LR: 0.004000
Training Epoch: 33 [45824/48700]	Loss: 0.3093	LR: 0.004000
Training Epoch: 33 [46080/48700]	Loss: 0.3623	LR: 0.004000
Training Epoch: 33 [46336/48700]	Loss: 0.3158	LR: 0.004000
Training Epoch: 33 [46592/48700]	Loss: 0.3680	LR: 0.004000
Training Epoch: 33 [46848/48700]	Loss: 0.2742	LR: 0.004000
Training Epoch: 33 [47104/48700]	Loss: 0.3180	LR: 0.004000
Training Epoch: 33 [47360/48700]	Loss: 0.3419	LR: 0.004000
Training Epoch: 33 [47616/48700]	Loss: 0.3237	LR: 0.004000
Training Epoch: 33 [47872/48700]	Loss: 0.4256	LR: 0.004000
Training Epoch: 33 [48128/48700]	Loss: 0.3210	LR: 0.004000
Training Epoch: 33 [48384/48700]	Loss: 0.3114	LR: 0.004000
Training Epoch: 33 [48640/48700]	Loss: 0.4015	LR: 0.004000
Training Epoch: 33 [48700/48700]	Loss: 0.2890	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3361, Train Accuracy: 0.8963
Epoch 33 training time consumed: 26.73s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7798, Time consumed:0.86s
Training Epoch: 34 [256/48700]	Loss: 0.2672	LR: 0.004000
Training Epoch: 34 [512/48700]	Loss: 0.2993	LR: 0.004000
Training Epoch: 34 [768/48700]	Loss: 0.2686	LR: 0.004000
Training Epoch: 34 [1024/48700]	Loss: 0.2864	LR: 0.004000
Training Epoch: 34 [1280/48700]	Loss: 0.2579	LR: 0.004000
Training Epoch: 34 [1536/48700]	Loss: 0.3737	LR: 0.004000
Training Epoch: 34 [1792/48700]	Loss: 0.3066	LR: 0.004000
Training Epoch: 34 [2048/48700]	Loss: 0.2722	LR: 0.004000
Training Epoch: 34 [2304/48700]	Loss: 0.3050	LR: 0.004000
Training Epoch: 34 [2560/48700]	Loss: 0.3672	LR: 0.004000
Training Epoch: 34 [2816/48700]	Loss: 0.3036	LR: 0.004000
Training Epoch: 34 [3072/48700]	Loss: 0.3250	LR: 0.004000
Training Epoch: 34 [3328/48700]	Loss: 0.3135	LR: 0.004000
Training Epoch: 34 [3584/48700]	Loss: 0.3631	LR: 0.004000
Training Epoch: 34 [3840/48700]	Loss: 0.3594	LR: 0.004000
Training Epoch: 34 [4096/48700]	Loss: 0.3029	LR: 0.004000
Training Epoch: 34 [4352/48700]	Loss: 0.3238	LR: 0.004000
Training Epoch: 34 [4608/48700]	Loss: 0.2172	LR: 0.004000
Training Epoch: 34 [4864/48700]	Loss: 0.3355	LR: 0.004000
Training Epoch: 34 [5120/48700]	Loss: 0.2116	LR: 0.004000
Training Epoch: 34 [5376/48700]	Loss: 0.3393	LR: 0.004000
Training Epoch: 34 [5632/48700]	Loss: 0.3225	LR: 0.004000
Training Epoch: 34 [5888/48700]	Loss: 0.3442	LR: 0.004000
Training Epoch: 34 [6144/48700]	Loss: 0.3325	LR: 0.004000
Training Epoch: 34 [6400/48700]	Loss: 0.3087	LR: 0.004000
Training Epoch: 34 [6656/48700]	Loss: 0.4091	LR: 0.004000
Training Epoch: 34 [6912/48700]	Loss: 0.3557	LR: 0.004000
Training Epoch: 34 [7168/48700]	Loss: 0.3130	LR: 0.004000
Training Epoch: 34 [7424/48700]	Loss: 0.3371	LR: 0.004000
Training Epoch: 34 [7680/48700]	Loss: 0.3489	LR: 0.004000
Training Epoch: 34 [7936/48700]	Loss: 0.3319	LR: 0.004000
Training Epoch: 34 [8192/48700]	Loss: 0.2667	LR: 0.004000
Training Epoch: 34 [8448/48700]	Loss: 0.3467	LR: 0.004000
Training Epoch: 34 [8704/48700]	Loss: 0.2772	LR: 0.004000
Training Epoch: 34 [8960/48700]	Loss: 0.3921	LR: 0.004000
Training Epoch: 34 [9216/48700]	Loss: 0.3092	LR: 0.004000
Training Epoch: 34 [9472/48700]	Loss: 0.3663	LR: 0.004000
Training Epoch: 34 [9728/48700]	Loss: 0.3050	LR: 0.004000
Training Epoch: 34 [9984/48700]	Loss: 0.2969	LR: 0.004000
Training Epoch: 34 [10240/48700]	Loss: 0.3112	LR: 0.004000
Training Epoch: 34 [10496/48700]	Loss: 0.3578	LR: 0.004000
Training Epoch: 34 [10752/48700]	Loss: 0.3354	LR: 0.004000
Training Epoch: 34 [11008/48700]	Loss: 0.3289	LR: 0.004000
Training Epoch: 34 [11264/48700]	Loss: 0.3229	LR: 0.004000
Training Epoch: 34 [11520/48700]	Loss: 0.2659	LR: 0.004000
Training Epoch: 34 [11776/48700]	Loss: 0.4292	LR: 0.004000
Training Epoch: 34 [12032/48700]	Loss: 0.2966	LR: 0.004000
Training Epoch: 34 [12288/48700]	Loss: 0.3270	LR: 0.004000
Training Epoch: 34 [12544/48700]	Loss: 0.3022	LR: 0.004000
Training Epoch: 34 [12800/48700]	Loss: 0.3573	LR: 0.004000
Training Epoch: 34 [13056/48700]	Loss: 0.3508	LR: 0.004000
Training Epoch: 34 [13312/48700]	Loss: 0.3894	LR: 0.004000
Training Epoch: 34 [13568/48700]	Loss: 0.3630	LR: 0.004000
Training Epoch: 34 [13824/48700]	Loss: 0.3039	LR: 0.004000
Training Epoch: 34 [14080/48700]	Loss: 0.2395	LR: 0.004000
Training Epoch: 34 [14336/48700]	Loss: 0.3866	LR: 0.004000
Training Epoch: 34 [14592/48700]	Loss: 0.3493	LR: 0.004000
Training Epoch: 34 [14848/48700]	Loss: 0.3256	LR: 0.004000
Training Epoch: 34 [15104/48700]	Loss: 0.3147	LR: 0.004000
Training Epoch: 34 [15360/48700]	Loss: 0.3050	LR: 0.004000
Training Epoch: 34 [15616/48700]	Loss: 0.2679	LR: 0.004000
Training Epoch: 34 [15872/48700]	Loss: 0.2964	LR: 0.004000
Training Epoch: 34 [16128/48700]	Loss: 0.2883	LR: 0.004000
Training Epoch: 34 [16384/48700]	Loss: 0.3782	LR: 0.004000
Training Epoch: 34 [16640/48700]	Loss: 0.3350	LR: 0.004000
Training Epoch: 34 [16896/48700]	Loss: 0.2702	LR: 0.004000
Training Epoch: 34 [17152/48700]	Loss: 0.3010	LR: 0.004000
Training Epoch: 34 [17408/48700]	Loss: 0.3801	LR: 0.004000
Training Epoch: 34 [17664/48700]	Loss: 0.3807	LR: 0.004000
Training Epoch: 34 [17920/48700]	Loss: 0.3372	LR: 0.004000
Training Epoch: 34 [18176/48700]	Loss: 0.3954	LR: 0.004000
Training Epoch: 34 [18432/48700]	Loss: 0.2645	LR: 0.004000
Training Epoch: 34 [18688/48700]	Loss: 0.2763	LR: 0.004000
Training Epoch: 34 [18944/48700]	Loss: 0.3265	LR: 0.004000
Training Epoch: 34 [19200/48700]	Loss: 0.2530	LR: 0.004000
Training Epoch: 34 [19456/48700]	Loss: 0.2994	LR: 0.004000
Training Epoch: 34 [19712/48700]	Loss: 0.3499	LR: 0.004000
Training Epoch: 34 [19968/48700]	Loss: 0.3226	LR: 0.004000
Training Epoch: 34 [20224/48700]	Loss: 0.3628	LR: 0.004000
Training Epoch: 34 [20480/48700]	Loss: 0.3470	LR: 0.004000
Training Epoch: 34 [20736/48700]	Loss: 0.2700	LR: 0.004000
Training Epoch: 34 [20992/48700]	Loss: 0.3335	LR: 0.004000
Training Epoch: 34 [21248/48700]	Loss: 0.3023	LR: 0.004000
Training Epoch: 34 [21504/48700]	Loss: 0.3538	LR: 0.004000
Training Epoch: 34 [21760/48700]	Loss: 0.4061	LR: 0.004000
Training Epoch: 34 [22016/48700]	Loss: 0.3095	LR: 0.004000
Training Epoch: 34 [22272/48700]	Loss: 0.3312	LR: 0.004000
Training Epoch: 34 [22528/48700]	Loss: 0.3453	LR: 0.004000
Training Epoch: 34 [22784/48700]	Loss: 0.3462	LR: 0.004000
Training Epoch: 34 [23040/48700]	Loss: 0.3541	LR: 0.004000
Training Epoch: 34 [23296/48700]	Loss: 0.3085	LR: 0.004000
Training Epoch: 34 [23552/48700]	Loss: 0.3002	LR: 0.004000
Training Epoch: 34 [23808/48700]	Loss: 0.4202	LR: 0.004000
Training Epoch: 34 [24064/48700]	Loss: 0.3610	LR: 0.004000
Training Epoch: 34 [24320/48700]	Loss: 0.3437	LR: 0.004000
Training Epoch: 34 [24576/48700]	Loss: 0.3393	LR: 0.004000
Training Epoch: 34 [24832/48700]	Loss: 0.2931	LR: 0.004000
Training Epoch: 34 [25088/48700]	Loss: 0.3346	LR: 0.004000
Training Epoch: 34 [25344/48700]	Loss: 0.2385	LR: 0.004000
Training Epoch: 34 [25600/48700]	Loss: 0.2962	LR: 0.004000
Training Epoch: 34 [25856/48700]	Loss: 0.3267	LR: 0.004000
Training Epoch: 34 [26112/48700]	Loss: 0.3024	LR: 0.004000
Training Epoch: 34 [26368/48700]	Loss: 0.3212	LR: 0.004000
Training Epoch: 34 [26624/48700]	Loss: 0.2770	LR: 0.004000
Training Epoch: 34 [26880/48700]	Loss: 0.3490	LR: 0.004000
Training Epoch: 34 [27136/48700]	Loss: 0.3129	LR: 0.004000
Training Epoch: 34 [27392/48700]	Loss: 0.4087	LR: 0.004000
Training Epoch: 34 [27648/48700]	Loss: 0.3090	LR: 0.004000
Training Epoch: 34 [27904/48700]	Loss: 0.3550	LR: 0.004000
Training Epoch: 34 [28160/48700]	Loss: 0.2750	LR: 0.004000
Training Epoch: 34 [28416/48700]	Loss: 0.3632	LR: 0.004000
Training Epoch: 34 [28672/48700]	Loss: 0.3246	LR: 0.004000
Training Epoch: 34 [28928/48700]	Loss: 0.3459	LR: 0.004000
Training Epoch: 34 [29184/48700]	Loss: 0.3913	LR: 0.004000
Training Epoch: 34 [29440/48700]	Loss: 0.3312	LR: 0.004000
Training Epoch: 34 [29696/48700]	Loss: 0.3443	LR: 0.004000
Training Epoch: 34 [29952/48700]	Loss: 0.3579	LR: 0.004000
Training Epoch: 34 [30208/48700]	Loss: 0.2483	LR: 0.004000
Training Epoch: 34 [30464/48700]	Loss: 0.3853	LR: 0.004000
Training Epoch: 34 [30720/48700]	Loss: 0.3748	LR: 0.004000
Training Epoch: 34 [30976/48700]	Loss: 0.2674	LR: 0.004000
Training Epoch: 34 [31232/48700]	Loss: 0.4510	LR: 0.004000
Training Epoch: 34 [31488/48700]	Loss: 0.3430	LR: 0.004000
Training Epoch: 34 [31744/48700]	Loss: 0.3169	LR: 0.004000
Training Epoch: 34 [32000/48700]	Loss: 0.3306	LR: 0.004000
Training Epoch: 34 [32256/48700]	Loss: 0.2851	LR: 0.004000
Training Epoch: 34 [32512/48700]	Loss: 0.3275	LR: 0.004000
Training Epoch: 34 [32768/48700]	Loss: 0.2685	LR: 0.004000
Training Epoch: 34 [33024/48700]	Loss: 0.4309	LR: 0.004000
Training Epoch: 34 [33280/48700]	Loss: 0.2641	LR: 0.004000
Training Epoch: 34 [33536/48700]	Loss: 0.3168	LR: 0.004000
Training Epoch: 34 [33792/48700]	Loss: 0.3089	LR: 0.004000
Training Epoch: 34 [34048/48700]	Loss: 0.3557	LR: 0.004000
Training Epoch: 34 [34304/48700]	Loss: 0.3497	LR: 0.004000
Training Epoch: 34 [34560/48700]	Loss: 0.3649	LR: 0.004000
Training Epoch: 34 [34816/48700]	Loss: 0.3451	LR: 0.004000
Training Epoch: 34 [35072/48700]	Loss: 0.3092	LR: 0.004000
Training Epoch: 34 [35328/48700]	Loss: 0.3777	LR: 0.004000
Training Epoch: 34 [35584/48700]	Loss: 0.3181	LR: 0.004000
Training Epoch: 34 [35840/48700]	Loss: 0.2559	LR: 0.004000
Training Epoch: 34 [36096/48700]	Loss: 0.3112	LR: 0.004000
Training Epoch: 34 [36352/48700]	Loss: 0.2843	LR: 0.004000
Training Epoch: 34 [36608/48700]	Loss: 0.3391	LR: 0.004000
Training Epoch: 34 [36864/48700]	Loss: 0.3568	LR: 0.004000
Training Epoch: 34 [37120/48700]	Loss: 0.3867	LR: 0.004000
Training Epoch: 34 [37376/48700]	Loss: 0.2739	LR: 0.004000
Training Epoch: 34 [37632/48700]	Loss: 0.3333	LR: 0.004000
Training Epoch: 34 [37888/48700]	Loss: 0.3189	LR: 0.004000
Training Epoch: 34 [38144/48700]	Loss: 0.3459	LR: 0.004000
Training Epoch: 34 [38400/48700]	Loss: 0.3198	LR: 0.004000
Training Epoch: 34 [38656/48700]	Loss: 0.3732	LR: 0.004000
Training Epoch: 34 [38912/48700]	Loss: 0.3709	LR: 0.004000
Training Epoch: 34 [39168/48700]	Loss: 0.4048	LR: 0.004000
Training Epoch: 34 [39424/48700]	Loss: 0.3212	LR: 0.004000
Training Epoch: 34 [39680/48700]	Loss: 0.3184	LR: 0.004000
Training Epoch: 34 [39936/48700]	Loss: 0.3057	LR: 0.004000
Training Epoch: 34 [40192/48700]	Loss: 0.3707	LR: 0.004000
Training Epoch: 34 [40448/48700]	Loss: 0.3086	LR: 0.004000
Training Epoch: 34 [40704/48700]	Loss: 0.3082	LR: 0.004000
Training Epoch: 34 [40960/48700]	Loss: 0.3567	LR: 0.004000
Training Epoch: 34 [41216/48700]	Loss: 0.3395	LR: 0.004000
Training Epoch: 34 [41472/48700]	Loss: 0.2779	LR: 0.004000
Training Epoch: 34 [41728/48700]	Loss: 0.3348	LR: 0.004000
Training Epoch: 34 [41984/48700]	Loss: 0.3281	LR: 0.004000
Training Epoch: 34 [42240/48700]	Loss: 0.2936	LR: 0.004000
Training Epoch: 34 [42496/48700]	Loss: 0.3393	LR: 0.004000
Training Epoch: 34 [42752/48700]	Loss: 0.3253	LR: 0.004000
Training Epoch: 34 [43008/48700]	Loss: 0.3364	LR: 0.004000
Training Epoch: 34 [43264/48700]	Loss: 0.3363	LR: 0.004000
Training Epoch: 34 [43520/48700]	Loss: 0.3055	LR: 0.004000
Training Epoch: 34 [43776/48700]	Loss: 0.3408	LR: 0.004000
Training Epoch: 34 [44032/48700]	Loss: 0.4511	LR: 0.004000
Training Epoch: 34 [44288/48700]	Loss: 0.3210	LR: 0.004000
Training Epoch: 34 [44544/48700]	Loss: 0.3346	LR: 0.004000
Training Epoch: 34 [44800/48700]	Loss: 0.3370	LR: 0.004000
Training Epoch: 34 [45056/48700]	Loss: 0.2947	LR: 0.004000
Training Epoch: 34 [45312/48700]	Loss: 0.3068	LR: 0.004000
Training Epoch: 34 [45568/48700]	Loss: 0.2889	LR: 0.004000
Training Epoch: 34 [45824/48700]	Loss: 0.4299	LR: 0.004000
Training Epoch: 34 [46080/48700]	Loss: 0.2793	LR: 0.004000
Training Epoch: 34 [46336/48700]	Loss: 0.3445	LR: 0.004000
Training Epoch: 34 [46592/48700]	Loss: 0.3082	LR: 0.004000
Training Epoch: 34 [46848/48700]	Loss: 0.3288	LR: 0.004000
Training Epoch: 34 [47104/48700]	Loss: 0.3361	LR: 0.004000
Training Epoch: 34 [47360/48700]	Loss: 0.3504	LR: 0.004000
Training Epoch: 34 [47616/48700]	Loss: 0.2949	LR: 0.004000
Training Epoch: 34 [47872/48700]	Loss: 0.3611	LR: 0.004000
Training Epoch: 34 [48128/48700]	Loss: 0.3252	LR: 0.004000
Training Epoch: 34 [48384/48700]	Loss: 0.3905	LR: 0.004000
Training Epoch: 34 [48640/48700]	Loss: 0.3327	LR: 0.004000
Training Epoch: 34 [48700/48700]	Loss: 0.3826	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3280, Train Accuracy: 0.9002
Epoch 34 training time consumed: 26.80s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.7819, Time consumed:0.89s
Training Epoch: 35 [256/48700]	Loss: 0.3260	LR: 0.000800
Training Epoch: 35 [512/48700]	Loss: 0.2846	LR: 0.000800
Training Epoch: 35 [768/48700]	Loss: 0.3091	LR: 0.000800
Training Epoch: 35 [1024/48700]	Loss: 0.3266	LR: 0.000800
Training Epoch: 35 [1280/48700]	Loss: 0.2677	LR: 0.000800
Training Epoch: 35 [1536/48700]	Loss: 0.2551	LR: 0.000800
Training Epoch: 35 [1792/48700]	Loss: 0.4083	LR: 0.000800
Training Epoch: 35 [2048/48700]	Loss: 0.2482	LR: 0.000800
Training Epoch: 35 [2304/48700]	Loss: 0.3572	LR: 0.000800
Training Epoch: 35 [2560/48700]	Loss: 0.2317	LR: 0.000800
Training Epoch: 35 [2816/48700]	Loss: 0.2862	LR: 0.000800
Training Epoch: 35 [3072/48700]	Loss: 0.4077	LR: 0.000800
Training Epoch: 35 [3328/48700]	Loss: 0.3421	LR: 0.000800
Training Epoch: 35 [3584/48700]	Loss: 0.2875	LR: 0.000800
Training Epoch: 35 [3840/48700]	Loss: 0.3789	LR: 0.000800
Training Epoch: 35 [4096/48700]	Loss: 0.2778	LR: 0.000800
Training Epoch: 35 [4352/48700]	Loss: 0.3840	LR: 0.000800
Training Epoch: 35 [4608/48700]	Loss: 0.2928	LR: 0.000800
Training Epoch: 35 [4864/48700]	Loss: 0.2450	LR: 0.000800
Training Epoch: 35 [5120/48700]	Loss: 0.2945	LR: 0.000800
Training Epoch: 35 [5376/48700]	Loss: 0.2527	LR: 0.000800
Training Epoch: 35 [5632/48700]	Loss: 0.2832	LR: 0.000800
Training Epoch: 35 [5888/48700]	Loss: 0.3382	LR: 0.000800
Training Epoch: 35 [6144/48700]	Loss: 0.3178	LR: 0.000800
Training Epoch: 35 [6400/48700]	Loss: 0.3543	LR: 0.000800
Training Epoch: 35 [6656/48700]	Loss: 0.2465	LR: 0.000800
Training Epoch: 35 [6912/48700]	Loss: 0.3179	LR: 0.000800
Training Epoch: 35 [7168/48700]	Loss: 0.3348	LR: 0.000800
Training Epoch: 35 [7424/48700]	Loss: 0.3103	LR: 0.000800
Training Epoch: 35 [7680/48700]	Loss: 0.3443	LR: 0.000800
Training Epoch: 35 [7936/48700]	Loss: 0.2801	LR: 0.000800
Training Epoch: 35 [8192/48700]	Loss: 0.3440	LR: 0.000800
Training Epoch: 35 [8448/48700]	Loss: 0.2607	LR: 0.000800
Training Epoch: 35 [8704/48700]	Loss: 0.2915	LR: 0.000800
Training Epoch: 35 [8960/48700]	Loss: 0.2422	LR: 0.000800
Training Epoch: 35 [9216/48700]	Loss: 0.3271	LR: 0.000800
Training Epoch: 35 [9472/48700]	Loss: 0.3079	LR: 0.000800
Training Epoch: 35 [9728/48700]	Loss: 0.2787	LR: 0.000800
Training Epoch: 35 [9984/48700]	Loss: 0.3626	LR: 0.000800
Training Epoch: 35 [10240/48700]	Loss: 0.2562	LR: 0.000800
Training Epoch: 35 [10496/48700]	Loss: 0.2326	LR: 0.000800
Training Epoch: 35 [10752/48700]	Loss: 0.2929	LR: 0.000800
Training Epoch: 35 [11008/48700]	Loss: 0.3022	LR: 0.000800
Training Epoch: 35 [11264/48700]	Loss: 0.2588	LR: 0.000800
Training Epoch: 35 [11520/48700]	Loss: 0.3325	LR: 0.000800
Training Epoch: 35 [11776/48700]	Loss: 0.4124	LR: 0.000800
Training Epoch: 35 [12032/48700]	Loss: 0.3506	LR: 0.000800
Training Epoch: 35 [12288/48700]	Loss: 0.3411	LR: 0.000800
Training Epoch: 35 [12544/48700]	Loss: 0.3336	LR: 0.000800
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Training Epoch: 35 [35840/48700]	Loss: 0.2935	LR: 0.000800
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Training Epoch: 35 [45056/48700]	Loss: 0.3335	LR: 0.000800
Training Epoch: 35 [45312/48700]	Loss: 0.2877	LR: 0.000800
Training Epoch: 35 [45568/48700]	Loss: 0.3767	LR: 0.000800
Training Epoch: 35 [45824/48700]	Loss: 0.3313	LR: 0.000800
Training Epoch: 35 [46080/48700]	Loss: 0.3233	LR: 0.000800
Training Epoch: 35 [46336/48700]	Loss: 0.3026	LR: 0.000800
Training Epoch: 35 [46592/48700]	Loss: 0.2674	LR: 0.000800
Training Epoch: 35 [46848/48700]	Loss: 0.2574	LR: 0.000800
Training Epoch: 35 [47104/48700]	Loss: 0.3062	LR: 0.000800
Training Epoch: 35 [47360/48700]	Loss: 0.3758	LR: 0.000800
Training Epoch: 35 [47616/48700]	Loss: 0.3162	LR: 0.000800
Training Epoch: 35 [47872/48700]	Loss: 0.2627	LR: 0.000800
Training Epoch: 35 [48128/48700]	Loss: 0.3262	LR: 0.000800
Training Epoch: 35 [48384/48700]	Loss: 0.3285	LR: 0.000800
Training Epoch: 35 [48640/48700]	Loss: 0.3053	LR: 0.000800
Training Epoch: 35 [48700/48700]	Loss: 0.3828	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3056, Train Accuracy: 0.9084
Epoch 35 training time consumed: 26.79s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7838, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-35-best.pth
Training Epoch: 36 [256/48700]	Loss: 0.3239	LR: 0.000800
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Training Epoch: 36 [1536/48700]	Loss: 0.2909	LR: 0.000800
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Training Epoch: 36 [2048/48700]	Loss: 0.3350	LR: 0.000800
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Training Epoch: 36 [16128/48700]	Loss: 0.3531	LR: 0.000800
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Training Epoch: 36 [36096/48700]	Loss: 0.3493	LR: 0.000800
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Training Epoch: 36 [36608/48700]	Loss: 0.3462	LR: 0.000800
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Training Epoch: 36 [37376/48700]	Loss: 0.3114	LR: 0.000800
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Training Epoch: 36 [42752/48700]	Loss: 0.3443	LR: 0.000800
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Training Epoch: 36 [43520/48700]	Loss: 0.2317	LR: 0.000800
Training Epoch: 36 [43776/48700]	Loss: 0.2329	LR: 0.000800
Training Epoch: 36 [44032/48700]	Loss: 0.3201	LR: 0.000800
Training Epoch: 36 [44288/48700]	Loss: 0.2658	LR: 0.000800
Training Epoch: 36 [44544/48700]	Loss: 0.3599	LR: 0.000800
Training Epoch: 36 [44800/48700]	Loss: 0.2885	LR: 0.000800
Training Epoch: 36 [45056/48700]	Loss: 0.2709	LR: 0.000800
Training Epoch: 36 [45312/48700]	Loss: 0.3014	LR: 0.000800
Training Epoch: 36 [45568/48700]	Loss: 0.3292	LR: 0.000800
Training Epoch: 36 [45824/48700]	Loss: 0.2701	LR: 0.000800
Training Epoch: 36 [46080/48700]	Loss: 0.2854	LR: 0.000800
Training Epoch: 36 [46336/48700]	Loss: 0.2642	LR: 0.000800
Training Epoch: 36 [46592/48700]	Loss: 0.2281	LR: 0.000800
Training Epoch: 36 [46848/48700]	Loss: 0.3816	LR: 0.000800
Training Epoch: 36 [47104/48700]	Loss: 0.3622	LR: 0.000800
Training Epoch: 36 [47360/48700]	Loss: 0.2973	LR: 0.000800
Training Epoch: 36 [47616/48700]	Loss: 0.3231	LR: 0.000800
Training Epoch: 36 [47872/48700]	Loss: 0.3094	LR: 0.000800
Training Epoch: 36 [48128/48700]	Loss: 0.3026	LR: 0.000800
Training Epoch: 36 [48384/48700]	Loss: 0.2389	LR: 0.000800
Training Epoch: 36 [48640/48700]	Loss: 0.2880	LR: 0.000800
Training Epoch: 36 [48700/48700]	Loss: 0.3957	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2989, Train Accuracy: 0.9107
Epoch 36 training time consumed: 27.10s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.7849, Time consumed:0.83s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-36-best.pth
Training Epoch: 37 [256/48700]	Loss: 0.2563	LR: 0.000800
Training Epoch: 37 [512/48700]	Loss: 0.2642	LR: 0.000800
Training Epoch: 37 [768/48700]	Loss: 0.2941	LR: 0.000800
Training Epoch: 37 [1024/48700]	Loss: 0.2700	LR: 0.000800
Training Epoch: 37 [1280/48700]	Loss: 0.2864	LR: 0.000800
Training Epoch: 37 [1536/48700]	Loss: 0.2770	LR: 0.000800
Training Epoch: 37 [1792/48700]	Loss: 0.3005	LR: 0.000800
Training Epoch: 37 [2048/48700]	Loss: 0.2259	LR: 0.000800
Training Epoch: 37 [2304/48700]	Loss: 0.2583	LR: 0.000800
Training Epoch: 37 [2560/48700]	Loss: 0.2342	LR: 0.000800
Training Epoch: 37 [2816/48700]	Loss: 0.3298	LR: 0.000800
Training Epoch: 37 [3072/48700]	Loss: 0.3440	LR: 0.000800
Training Epoch: 37 [3328/48700]	Loss: 0.2882	LR: 0.000800
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Training Epoch: 37 [4352/48700]	Loss: 0.2558	LR: 0.000800
Training Epoch: 37 [4608/48700]	Loss: 0.2582	LR: 0.000800
Training Epoch: 37 [4864/48700]	Loss: 0.3080	LR: 0.000800
Training Epoch: 37 [5120/48700]	Loss: 0.2977	LR: 0.000800
Training Epoch: 37 [5376/48700]	Loss: 0.2724	LR: 0.000800
Training Epoch: 37 [5632/48700]	Loss: 0.2963	LR: 0.000800
Training Epoch: 37 [5888/48700]	Loss: 0.2955	LR: 0.000800
Training Epoch: 37 [6144/48700]	Loss: 0.3396	LR: 0.000800
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Training Epoch: 37 [6912/48700]	Loss: 0.2651	LR: 0.000800
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Training Epoch: 37 [7936/48700]	Loss: 0.3056	LR: 0.000800
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Training Epoch: 37 [8448/48700]	Loss: 0.2009	LR: 0.000800
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Training Epoch: 37 [9216/48700]	Loss: 0.2791	LR: 0.000800
Training Epoch: 37 [9472/48700]	Loss: 0.2379	LR: 0.000800
Training Epoch: 37 [9728/48700]	Loss: 0.2671	LR: 0.000800
Training Epoch: 37 [9984/48700]	Loss: 0.3318	LR: 0.000800
Training Epoch: 37 [10240/48700]	Loss: 0.2575	LR: 0.000800
Training Epoch: 37 [10496/48700]	Loss: 0.2911	LR: 0.000800
Training Epoch: 37 [10752/48700]	Loss: 0.3201	LR: 0.000800
Training Epoch: 37 [11008/48700]	Loss: 0.3472	LR: 0.000800
Training Epoch: 37 [11264/48700]	Loss: 0.2722	LR: 0.000800
Training Epoch: 37 [11520/48700]	Loss: 0.2510	LR: 0.000800
Training Epoch: 37 [11776/48700]	Loss: 0.3260	LR: 0.000800
Training Epoch: 37 [12032/48700]	Loss: 0.3567	LR: 0.000800
Training Epoch: 37 [12288/48700]	Loss: 0.2399	LR: 0.000800
Training Epoch: 37 [12544/48700]	Loss: 0.2768	LR: 0.000800
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Training Epoch: 37 [13824/48700]	Loss: 0.3210	LR: 0.000800
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Training Epoch: 37 [15616/48700]	Loss: 0.2750	LR: 0.000800
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Training Epoch: 37 [16128/48700]	Loss: 0.3033	LR: 0.000800
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Training Epoch: 37 [36864/48700]	Loss: 0.3799	LR: 0.000800
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Training Epoch: 37 [37376/48700]	Loss: 0.3243	LR: 0.000800
Training Epoch: 37 [37632/48700]	Loss: 0.3081	LR: 0.000800
Training Epoch: 37 [37888/48700]	Loss: 0.3090	LR: 0.000800
Training Epoch: 37 [38144/48700]	Loss: 0.2809	LR: 0.000800
Training Epoch: 37 [38400/48700]	Loss: 0.2811	LR: 0.000800
Training Epoch: 37 [38656/48700]	Loss: 0.2543	LR: 0.000800
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Training Epoch: 37 [40192/48700]	Loss: 0.3596	LR: 0.000800
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Training Epoch: 37 [42496/48700]	Loss: 0.3008	LR: 0.000800
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Training Epoch: 37 [43264/48700]	Loss: 0.2396	LR: 0.000800
Training Epoch: 37 [43520/48700]	Loss: 0.2740	LR: 0.000800
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Training Epoch: 37 [44800/48700]	Loss: 0.2641	LR: 0.000800
Training Epoch: 37 [45056/48700]	Loss: 0.2752	LR: 0.000800
Training Epoch: 37 [45312/48700]	Loss: 0.3037	LR: 0.000800
Training Epoch: 37 [45568/48700]	Loss: 0.2552	LR: 0.000800
Training Epoch: 37 [45824/48700]	Loss: 0.2704	LR: 0.000800
Training Epoch: 37 [46080/48700]	Loss: 0.3216	LR: 0.000800
Training Epoch: 37 [46336/48700]	Loss: 0.3023	LR: 0.000800
Training Epoch: 37 [46592/48700]	Loss: 0.2616	LR: 0.000800
Training Epoch: 37 [46848/48700]	Loss: 0.2721	LR: 0.000800
Training Epoch: 37 [47104/48700]	Loss: 0.3395	LR: 0.000800
Training Epoch: 37 [47360/48700]	Loss: 0.2506	LR: 0.000800
Training Epoch: 37 [47616/48700]	Loss: 0.2548	LR: 0.000800
Training Epoch: 37 [47872/48700]	Loss: 0.2664	LR: 0.000800
Training Epoch: 37 [48128/48700]	Loss: 0.2974	LR: 0.000800
Training Epoch: 37 [48384/48700]	Loss: 0.3328	LR: 0.000800
Training Epoch: 37 [48640/48700]	Loss: 0.2951	LR: 0.000800
Training Epoch: 37 [48700/48700]	Loss: 0.4145	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2921, Train Accuracy: 0.9131
Epoch 37 training time consumed: 26.62s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.7835, Time consumed:0.89s
Training Epoch: 38 [256/48700]	Loss: 0.2691	LR: 0.000800
Training Epoch: 38 [512/48700]	Loss: 0.2447	LR: 0.000800
Training Epoch: 38 [768/48700]	Loss: 0.3793	LR: 0.000800
Training Epoch: 38 [1024/48700]	Loss: 0.2304	LR: 0.000800
Training Epoch: 38 [1280/48700]	Loss: 0.2556	LR: 0.000800
Training Epoch: 38 [1536/48700]	Loss: 0.3378	LR: 0.000800
Training Epoch: 38 [1792/48700]	Loss: 0.2854	LR: 0.000800
Training Epoch: 38 [2048/48700]	Loss: 0.2595	LR: 0.000800
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Training Epoch: 38 [2816/48700]	Loss: 0.2684	LR: 0.000800
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Training Epoch: 38 [3840/48700]	Loss: 0.3364	LR: 0.000800
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Training Epoch: 38 [4352/48700]	Loss: 0.3077	LR: 0.000800
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Training Epoch: 38 [11264/48700]	Loss: 0.3189	LR: 0.000800
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Training Epoch: 38 [22016/48700]	Loss: 0.2899	LR: 0.000800
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Training Epoch: 38 [32512/48700]	Loss: 0.3122	LR: 0.000800
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Training Epoch: 38 [45312/48700]	Loss: 0.3954	LR: 0.000800
Training Epoch: 38 [45568/48700]	Loss: 0.3075	LR: 0.000800
Training Epoch: 38 [45824/48700]	Loss: 0.3334	LR: 0.000800
Training Epoch: 38 [46080/48700]	Loss: 0.2878	LR: 0.000800
Training Epoch: 38 [46336/48700]	Loss: 0.3514	LR: 0.000800
Training Epoch: 38 [46592/48700]	Loss: 0.2890	LR: 0.000800
Training Epoch: 38 [46848/48700]	Loss: 0.2411	LR: 0.000800
Training Epoch: 38 [47104/48700]	Loss: 0.2671	LR: 0.000800
Training Epoch: 38 [47360/48700]	Loss: 0.2796	LR: 0.000800
Training Epoch: 38 [47616/48700]	Loss: 0.2928	LR: 0.000800
Training Epoch: 38 [47872/48700]	Loss: 0.2582	LR: 0.000800
Training Epoch: 38 [48128/48700]	Loss: 0.2911	LR: 0.000800
Training Epoch: 38 [48384/48700]	Loss: 0.3360	LR: 0.000800
Training Epoch: 38 [48640/48700]	Loss: 0.2776	LR: 0.000800
Training Epoch: 38 [48700/48700]	Loss: 0.2956	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2964, Train Accuracy: 0.9112
Epoch 38 training time consumed: 26.73s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7867, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_06h_52m_12s/AllCNN-Cifar20-seed2-ret75-38-best.pth
Training Epoch: 39 [256/48700]	Loss: 0.2987	LR: 0.000800
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Training Epoch: 39 [1280/48700]	Loss: 0.3211	LR: 0.000800
Training Epoch: 39 [1536/48700]	Loss: 0.3367	LR: 0.000800
Training Epoch: 39 [1792/48700]	Loss: 0.3090	LR: 0.000800
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Training Epoch: 39 [12800/48700]	Loss: 0.3232	LR: 0.000800
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Training Epoch: 39 [13568/48700]	Loss: 0.2528	LR: 0.000800
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Training Epoch: 39 [15360/48700]	Loss: 0.2471	LR: 0.000800
Training Epoch: 39 [15616/48700]	Loss: 0.2798	LR: 0.000800
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Training Epoch: 39 [35328/48700]	Loss: 0.2928	LR: 0.000800
Training Epoch: 39 [35584/48700]	Loss: 0.3224	LR: 0.000800
Training Epoch: 39 [35840/48700]	Loss: 0.3372	LR: 0.000800
Training Epoch: 39 [36096/48700]	Loss: 0.2825	LR: 0.000800
Training Epoch: 39 [36352/48700]	Loss: 0.2729	LR: 0.000800
Training Epoch: 39 [36608/48700]	Loss: 0.2804	LR: 0.000800
Training Epoch: 39 [36864/48700]	Loss: 0.2161	LR: 0.000800
Training Epoch: 39 [37120/48700]	Loss: 0.2230	LR: 0.000800
Training Epoch: 39 [37376/48700]	Loss: 0.2997	LR: 0.000800
Training Epoch: 39 [37632/48700]	Loss: 0.3220	LR: 0.000800
Training Epoch: 39 [37888/48700]	Loss: 0.2507	LR: 0.000800
Training Epoch: 39 [38144/48700]	Loss: 0.3221	LR: 0.000800
Training Epoch: 39 [38400/48700]	Loss: 0.2752	LR: 0.000800
Training Epoch: 39 [38656/48700]	Loss: 0.2697	LR: 0.000800
Training Epoch: 39 [38912/48700]	Loss: 0.3686	LR: 0.000800
Training Epoch: 39 [39168/48700]	Loss: 0.3521	LR: 0.000800
Training Epoch: 39 [39424/48700]	Loss: 0.3251	LR: 0.000800
Training Epoch: 39 [39680/48700]	Loss: 0.2036	LR: 0.000800
Training Epoch: 39 [39936/48700]	Loss: 0.3154	LR: 0.000800
Training Epoch: 39 [40192/48700]	Loss: 0.2899	LR: 0.000800
Training Epoch: 39 [40448/48700]	Loss: 0.2718	LR: 0.000800
Training Epoch: 39 [40704/48700]	Loss: 0.2868	LR: 0.000800
Training Epoch: 39 [40960/48700]	Loss: 0.3456	LR: 0.000800
Training Epoch: 39 [41216/48700]	Loss: 0.2408	LR: 0.000800
Training Epoch: 39 [41472/48700]	Loss: 0.3936	LR: 0.000800
Training Epoch: 39 [41728/48700]	Loss: 0.3113	LR: 0.000800
Training Epoch: 39 [41984/48700]	Loss: 0.2142	LR: 0.000800
Training Epoch: 39 [42240/48700]	Loss: 0.2902	LR: 0.000800
Training Epoch: 39 [42496/48700]	Loss: 0.2649	LR: 0.000800
Training Epoch: 39 [42752/48700]	Loss: 0.2936	LR: 0.000800
Training Epoch: 39 [43008/48700]	Loss: 0.2453	LR: 0.000800
Training Epoch: 39 [43264/48700]	Loss: 0.2817	LR: 0.000800
Training Epoch: 39 [43520/48700]	Loss: 0.2792	LR: 0.000800
Training Epoch: 39 [43776/48700]	Loss: 0.2958	LR: 0.000800
Training Epoch: 39 [44032/48700]	Loss: 0.2850	LR: 0.000800
Training Epoch: 39 [44288/48700]	Loss: 0.2986	LR: 0.000800
Training Epoch: 39 [44544/48700]	Loss: 0.2666	LR: 0.000800
Training Epoch: 39 [44800/48700]	Loss: 0.2939	LR: 0.000800
Training Epoch: 39 [45056/48700]	Loss: 0.2339	LR: 0.000800
Training Epoch: 39 [45312/48700]	Loss: 0.2633	LR: 0.000800
Training Epoch: 39 [45568/48700]	Loss: 0.2788	LR: 0.000800
Training Epoch: 39 [45824/48700]	Loss: 0.3460	LR: 0.000800
Training Epoch: 39 [46080/48700]	Loss: 0.3031	LR: 0.000800
Training Epoch: 39 [46336/48700]	Loss: 0.3172	LR: 0.000800
Training Epoch: 39 [46592/48700]	Loss: 0.2929	LR: 0.000800
Training Epoch: 39 [46848/48700]	Loss: 0.2588	LR: 0.000800
Training Epoch: 39 [47104/48700]	Loss: 0.2545	LR: 0.000800
Training Epoch: 39 [47360/48700]	Loss: 0.2988	LR: 0.000800
Training Epoch: 39 [47616/48700]	Loss: 0.2608	LR: 0.000800
Training Epoch: 39 [47872/48700]	Loss: 0.3619	LR: 0.000800
Training Epoch: 39 [48128/48700]	Loss: 0.3368	LR: 0.000800
Training Epoch: 39 [48384/48700]	Loss: 0.3026	LR: 0.000800
Training Epoch: 39 [48640/48700]	Loss: 0.2974	LR: 0.000800
Training Epoch: 39 [48700/48700]	Loss: 0.3594	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2900, Train Accuracy: 0.9132
Epoch 39 training time consumed: 26.69s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7855, Time consumed:0.83s
Training Epoch: 40 [256/48700]	Loss: 0.2656	LR: 0.000800
Training Epoch: 40 [512/48700]	Loss: 0.3473	LR: 0.000800
Training Epoch: 40 [768/48700]	Loss: 0.3294	LR: 0.000800
Training Epoch: 40 [1024/48700]	Loss: 0.2891	LR: 0.000800
Training Epoch: 40 [1280/48700]	Loss: 0.2651	LR: 0.000800
Training Epoch: 40 [1536/48700]	Loss: 0.2943	LR: 0.000800
Training Epoch: 40 [1792/48700]	Loss: 0.2957	LR: 0.000800
Training Epoch: 40 [2048/48700]	Loss: 0.3300	LR: 0.000800
Training Epoch: 40 [2304/48700]	Loss: 0.3189	LR: 0.000800
Training Epoch: 40 [2560/48700]	Loss: 0.2926	LR: 0.000800
Training Epoch: 40 [2816/48700]	Loss: 0.2454	LR: 0.000800
Training Epoch: 40 [3072/48700]	Loss: 0.3340	LR: 0.000800
Training Epoch: 40 [3328/48700]	Loss: 0.2682	LR: 0.000800
Training Epoch: 40 [3584/48700]	Loss: 0.3104	LR: 0.000800
Training Epoch: 40 [3840/48700]	Loss: 0.2834	LR: 0.000800
Training Epoch: 40 [4096/48700]	Loss: 0.2766	LR: 0.000800
Training Epoch: 40 [4352/48700]	Loss: 0.2965	LR: 0.000800
Training Epoch: 40 [4608/48700]	Loss: 0.2447	LR: 0.000800
Training Epoch: 40 [4864/48700]	Loss: 0.3301	LR: 0.000800
Training Epoch: 40 [5120/48700]	Loss: 0.3978	LR: 0.000800
Training Epoch: 40 [5376/48700]	Loss: 0.3012	LR: 0.000800
Training Epoch: 40 [5632/48700]	Loss: 0.3160	LR: 0.000800
Training Epoch: 40 [5888/48700]	Loss: 0.3507	LR: 0.000800
Training Epoch: 40 [6144/48700]	Loss: 0.2613	LR: 0.000800
Training Epoch: 40 [6400/48700]	Loss: 0.2876	LR: 0.000800
Training Epoch: 40 [6656/48700]	Loss: 0.3939	LR: 0.000800
Training Epoch: 40 [6912/48700]	Loss: 0.2473	LR: 0.000800
Training Epoch: 40 [7168/48700]	Loss: 0.3270	LR: 0.000800
Training Epoch: 40 [7424/48700]	Loss: 0.3566	LR: 0.000800
Training Epoch: 40 [7680/48700]	Loss: 0.2930	LR: 0.000800
Training Epoch: 40 [7936/48700]	Loss: 0.3014	LR: 0.000800
Training Epoch: 40 [8192/48700]	Loss: 0.2976	LR: 0.000800
Training Epoch: 40 [8448/48700]	Loss: 0.2536	LR: 0.000800
Training Epoch: 40 [8704/48700]	Loss: 0.2943	LR: 0.000800
Training Epoch: 40 [8960/48700]	Loss: 0.3134	LR: 0.000800
Training Epoch: 40 [9216/48700]	Loss: 0.2769	LR: 0.000800
Training Epoch: 40 [9472/48700]	Loss: 0.2854	LR: 0.000800
Training Epoch: 40 [9728/48700]	Loss: 0.3119	LR: 0.000800
Training Epoch: 40 [9984/48700]	Loss: 0.3070	LR: 0.000800
Training Epoch: 40 [10240/48700]	Loss: 0.2679	LR: 0.000800
Training Epoch: 40 [10496/48700]	Loss: 0.2756	LR: 0.000800
Training Epoch: 40 [10752/48700]	Loss: 0.2510	LR: 0.000800
Training Epoch: 40 [11008/48700]	Loss: 0.2699	LR: 0.000800
Training Epoch: 40 [11264/48700]	Loss: 0.2976	LR: 0.000800
Training Epoch: 40 [11520/48700]	Loss: 0.3264	LR: 0.000800
Training Epoch: 40 [11776/48700]	Loss: 0.2898	LR: 0.000800
Training Epoch: 40 [12032/48700]	Loss: 0.3007	LR: 0.000800
Training Epoch: 40 [12288/48700]	Loss: 0.2362	LR: 0.000800
Training Epoch: 40 [12544/48700]	Loss: 0.3314	LR: 0.000800
Training Epoch: 40 [12800/48700]	Loss: 0.3027	LR: 0.000800
Training Epoch: 40 [13056/48700]	Loss: 0.2373	LR: 0.000800
Training Epoch: 40 [13312/48700]	Loss: 0.3856	LR: 0.000800
Training Epoch: 40 [13568/48700]	Loss: 0.2785	LR: 0.000800
Training Epoch: 40 [13824/48700]	Loss: 0.2512	LR: 0.000800
Training Epoch: 40 [14080/48700]	Loss: 0.2635	LR: 0.000800
Training Epoch: 40 [14336/48700]	Loss: 0.2681	LR: 0.000800
Training Epoch: 40 [14592/48700]	Loss: 0.2372	LR: 0.000800
Training Epoch: 40 [14848/48700]	Loss: 0.3516	LR: 0.000800
Training Epoch: 40 [15104/48700]	Loss: 0.3580	LR: 0.000800
Training Epoch: 40 [15360/48700]	Loss: 0.2555	LR: 0.000800
Training Epoch: 40 [15616/48700]	Loss: 0.2012	LR: 0.000800
Training Epoch: 40 [15872/48700]	Loss: 0.2748	LR: 0.000800
Training Epoch: 40 [16128/48700]	Loss: 0.3519	LR: 0.000800
Training Epoch: 40 [16384/48700]	Loss: 0.2532	LR: 0.000800
Training Epoch: 40 [16640/48700]	Loss: 0.2791	LR: 0.000800
Training Epoch: 40 [16896/48700]	Loss: 0.2921	LR: 0.000800
Training Epoch: 40 [17152/48700]	Loss: 0.2991	LR: 0.000800
Training Epoch: 40 [17408/48700]	Loss: 0.3299	LR: 0.000800
Training Epoch: 40 [17664/48700]	Loss: 0.2435	LR: 0.000800
Training Epoch: 40 [17920/48700]	Loss: 0.2725	LR: 0.000800
Training Epoch: 40 [18176/48700]	Loss: 0.2451	LR: 0.000800
Training Epoch: 40 [18432/48700]	Loss: 0.2230	LR: 0.000800
Training Epoch: 40 [18688/48700]	Loss: 0.2676	LR: 0.000800
Training Epoch: 40 [18944/48700]	Loss: 0.3082	LR: 0.000800
Training Epoch: 40 [19200/48700]	Loss: 0.2454	LR: 0.000800
Training Epoch: 40 [19456/48700]	Loss: 0.2257	LR: 0.000800
Training Epoch: 40 [19712/48700]	Loss: 0.3019	LR: 0.000800
Training Epoch: 40 [19968/48700]	Loss: 0.2405	LR: 0.000800
Training Epoch: 40 [20224/48700]	Loss: 0.2915	LR: 0.000800
Training Epoch: 40 [20480/48700]	Loss: 0.3213	LR: 0.000800
Training Epoch: 40 [20736/48700]	Loss: 0.2168	LR: 0.000800
Training Epoch: 40 [20992/48700]	Loss: 0.3133	LR: 0.000800
Training Epoch: 40 [21248/48700]	Loss: 0.3139	LR: 0.000800
Training Epoch: 40 [21504/48700]	Loss: 0.2440	LR: 0.000800
Training Epoch: 40 [21760/48700]	Loss: 0.3291	LR: 0.000800
Training Epoch: 40 [22016/48700]	Loss: 0.3254	LR: 0.000800
Training Epoch: 40 [22272/48700]	Loss: 0.3206	LR: 0.000800
Training Epoch: 40 [22528/48700]	Loss: 0.2264	LR: 0.000800
Training Epoch: 40 [22784/48700]	Loss: 0.2772	LR: 0.000800
Training Epoch: 40 [23040/48700]	Loss: 0.3674	LR: 0.000800
Training Epoch: 40 [23296/48700]	Loss: 0.3100	LR: 0.000800
Training Epoch: 40 [23552/48700]	Loss: 0.2687	LR: 0.000800
Training Epoch: 40 [23808/48700]	Loss: 0.2641	LR: 0.000800
Training Epoch: 40 [24064/48700]	Loss: 0.2602	LR: 0.000800
Training Epoch: 40 [24320/48700]	Loss: 0.3483	LR: 0.000800
Training Epoch: 40 [24576/48700]	Loss: 0.3041	LR: 0.000800
Training Epoch: 40 [24832/48700]	Loss: 0.2835	LR: 0.000800
Training Epoch: 40 [25088/48700]	Loss: 0.2290	LR: 0.000800
Training Epoch: 40 [25344/48700]	Loss: 0.2608	LR: 0.000800
Training Epoch: 40 [25600/48700]	Loss: 0.2990	LR: 0.000800
Training Epoch: 40 [25856/48700]	Loss: 0.3289	LR: 0.000800
Training Epoch: 40 [26112/48700]	Loss: 0.2831	LR: 0.000800
Training Epoch: 40 [26368/48700]	Loss: 0.2937	LR: 0.000800
Training Epoch: 40 [26624/48700]	Loss: 0.3354	LR: 0.000800
Training Epoch: 40 [26880/48700]	Loss: 0.3395	LR: 0.000800
Training Epoch: 40 [27136/48700]	Loss: 0.3657	LR: 0.000800
Training Epoch: 40 [27392/48700]	Loss: 0.2330	LR: 0.000800
Training Epoch: 40 [27648/48700]	Loss: 0.2739	LR: 0.000800
Training Epoch: 40 [27904/48700]	Loss: 0.2600	LR: 0.000800
Training Epoch: 40 [28160/48700]	Loss: 0.2755	LR: 0.000800
Training Epoch: 40 [28416/48700]	Loss: 0.3142	LR: 0.000800
Training Epoch: 40 [28672/48700]	Loss: 0.2938	LR: 0.000800
Training Epoch: 40 [28928/48700]	Loss: 0.2937	LR: 0.000800
Training Epoch: 40 [29184/48700]	Loss: 0.2583	LR: 0.000800
Training Epoch: 40 [29440/48700]	Loss: 0.2420	LR: 0.000800
Training Epoch: 40 [29696/48700]	Loss: 0.2524	LR: 0.000800
Training Epoch: 40 [29952/48700]	Loss: 0.2995	LR: 0.000800
Training Epoch: 40 [30208/48700]	Loss: 0.3771	LR: 0.000800
Training Epoch: 40 [30464/48700]	Loss: 0.3634	LR: 0.000800
Training Epoch: 40 [30720/48700]	Loss: 0.2926	LR: 0.000800
Training Epoch: 40 [30976/48700]	Loss: 0.3217	LR: 0.000800
Training Epoch: 40 [31232/48700]	Loss: 0.3020	LR: 0.000800
Training Epoch: 40 [31488/48700]	Loss: 0.3290	LR: 0.000800
Training Epoch: 40 [31744/48700]	Loss: 0.3020	LR: 0.000800
Training Epoch: 40 [32000/48700]	Loss: 0.3310	LR: 0.000800
Training Epoch: 40 [32256/48700]	Loss: 0.3616	LR: 0.000800
Training Epoch: 40 [32512/48700]	Loss: 0.2670	LR: 0.000800
Training Epoch: 40 [32768/48700]	Loss: 0.2437	LR: 0.000800
Training Epoch: 40 [33024/48700]	Loss: 0.2533	LR: 0.000800
Training Epoch: 40 [33280/48700]	Loss: 0.3254	LR: 0.000800
Training Epoch: 40 [33536/48700]	Loss: 0.3192	LR: 0.000800
Training Epoch: 40 [33792/48700]	Loss: 0.3005	LR: 0.000800
Training Epoch: 40 [34048/48700]	Loss: 0.3409	LR: 0.000800
Training Epoch: 40 [34304/48700]	Loss: 0.3203	LR: 0.000800
Training Epoch: 40 [34560/48700]	Loss: 0.2894	LR: 0.000800
Training Epoch: 40 [34816/48700]	Loss: 0.2765	LR: 0.000800
Training Epoch: 40 [35072/48700]	Loss: 0.2819	LR: 0.000800
Training Epoch: 40 [35328/48700]	Loss: 0.2870	LR: 0.000800
Training Epoch: 40 [35584/48700]	Loss: 0.2582	LR: 0.000800
Training Epoch: 40 [35840/48700]	Loss: 0.2509	LR: 0.000800
Training Epoch: 40 [36096/48700]	Loss: 0.3046	LR: 0.000800
Training Epoch: 40 [36352/48700]	Loss: 0.3024	LR: 0.000800
Training Epoch: 40 [36608/48700]	Loss: 0.2584	LR: 0.000800
Training Epoch: 40 [36864/48700]	Loss: 0.2814	LR: 0.000800
Training Epoch: 40 [37120/48700]	Loss: 0.1978	LR: 0.000800
Training Epoch: 40 [37376/48700]	Loss: 0.3878	LR: 0.000800
Training Epoch: 40 [37632/48700]	Loss: 0.3521	LR: 0.000800
Training Epoch: 40 [37888/48700]	Loss: 0.2549	LR: 0.000800
Training Epoch: 40 [38144/48700]	Loss: 0.2525	LR: 0.000800
Training Epoch: 40 [38400/48700]	Loss: 0.2285	LR: 0.000800
Training Epoch: 40 [38656/48700]	Loss: 0.2830	LR: 0.000800
Training Epoch: 40 [38912/48700]	Loss: 0.2385	LR: 0.000800
Training Epoch: 40 [39168/48700]	Loss: 0.2941	LR: 0.000800
Training Epoch: 40 [39424/48700]	Loss: 0.2909	LR: 0.000800
Training Epoch: 40 [39680/48700]	Loss: 0.3301	LR: 0.000800
Training Epoch: 40 [39936/48700]	Loss: 0.3516	LR: 0.000800
Training Epoch: 40 [40192/48700]	Loss: 0.2844	LR: 0.000800
Training Epoch: 40 [40448/48700]	Loss: 0.2729	LR: 0.000800
Training Epoch: 40 [40704/48700]	Loss: 0.3801	LR: 0.000800
Training Epoch: 40 [40960/48700]	Loss: 0.2540	LR: 0.000800
Training Epoch: 40 [41216/48700]	Loss: 0.2875	LR: 0.000800
Training Epoch: 40 [41472/48700]	Loss: 0.2726	LR: 0.000800
Training Epoch: 40 [41728/48700]	Loss: 0.3235	LR: 0.000800
Training Epoch: 40 [41984/48700]	Loss: 0.3044	LR: 0.000800
Training Epoch: 40 [42240/48700]	Loss: 0.2800	LR: 0.000800
Training Epoch: 40 [42496/48700]	Loss: 0.2981	LR: 0.000800
Training Epoch: 40 [42752/48700]	Loss: 0.3740	LR: 0.000800
Training Epoch: 40 [43008/48700]	Loss: 0.2963	LR: 0.000800
Training Epoch: 40 [43264/48700]	Loss: 0.3298	LR: 0.000800
Training Epoch: 40 [43520/48700]	Loss: 0.2789	LR: 0.000800
Training Epoch: 40 [43776/48700]	Loss: 0.3406	LR: 0.000800
Training Epoch: 40 [44032/48700]	Loss: 0.2608	LR: 0.000800
Training Epoch: 40 [44288/48700]	Loss: 0.2868	LR: 0.000800
Training Epoch: 40 [44544/48700]	Loss: 0.3150	LR: 0.000800
Training Epoch: 40 [44800/48700]	Loss: 0.2451	LR: 0.000800
Training Epoch: 40 [45056/48700]	Loss: 0.2844	LR: 0.000800
Training Epoch: 40 [45312/48700]	Loss: 0.2952	LR: 0.000800
Training Epoch: 40 [45568/48700]	Loss: 0.3429	LR: 0.000800
Training Epoch: 40 [45824/48700]	Loss: 0.2515	LR: 0.000800
Training Epoch: 40 [46080/48700]	Loss: 0.2838	LR: 0.000800
Training Epoch: 40 [46336/48700]	Loss: 0.2704	LR: 0.000800
Training Epoch: 40 [46592/48700]	Loss: 0.2597	LR: 0.000800
Training Epoch: 40 [46848/48700]	Loss: 0.2551	LR: 0.000800
Training Epoch: 40 [47104/48700]	Loss: 0.2853	LR: 0.000800
Training Epoch: 40 [47360/48700]	Loss: 0.2646	LR: 0.000800
Training Epoch: 40 [47616/48700]	Loss: 0.2958	LR: 0.000800
Training Epoch: 40 [47872/48700]	Loss: 0.3050	LR: 0.000800
Training Epoch: 40 [48128/48700]	Loss: 0.3589	LR: 0.000800
Training Epoch: 40 [48384/48700]	Loss: 0.2335	LR: 0.000800
Training Epoch: 40 [48640/48700]	Loss: 0.3198	LR: 0.000800
Training Epoch: 40 [48700/48700]	Loss: 0.2461	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2925, Train Accuracy: 0.9119
Epoch 40 training time consumed: 26.67s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.7839, Time consumed:0.87s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48700
Forget Train Dl:  1300
Retain Valid Dl:  48700
Forget Valid Dl:  1300
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1300 samples
Set1 Distribution: 1300 samples
Set2 Distribution: 1300 samples
Set1 Distribution: 1300 samples
Set2 Distribution: 1300 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 78.310546875
Retain Accuracy: 92.08497619628906
Zero-Retain Forget (ZRF): 0.9182684421539307
Membership Inference Attack (MIA): 0.46384615384615385
Forget vs Retain Membership Inference Attack (MIA): 0.6134615384615385
Forget vs Test Membership Inference Attack (MIA): 0.5384615384615384
Test vs Retain Membership Inference Attack (MIA): 0.48525
Train vs Test Membership Inference Attack (MIA): 0.5515
Forget Set Accuracy (Df): 78.37239837646484
Method Execution Time: 1600.24 seconds
