
📌 S Retain class distribution for seed 6:
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 6:
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: 3.0561	LR: 0.000000
Training Epoch: 1 [512/48700]	Loss: 3.0411	LR: 0.000524
Training Epoch: 1 [768/48700]	Loss: 3.0384	LR: 0.001047
Training Epoch: 1 [1024/48700]	Loss: 3.0304	LR: 0.001571
Training Epoch: 1 [1280/48700]	Loss: 3.0381	LR: 0.002094
Training Epoch: 1 [1536/48700]	Loss: 3.0646	LR: 0.002618
Training Epoch: 1 [1792/48700]	Loss: 2.9997	LR: 0.003141
Training Epoch: 1 [2048/48700]	Loss: 3.0154	LR: 0.003665
Training Epoch: 1 [2304/48700]	Loss: 2.9774	LR: 0.004188
Training Epoch: 1 [2560/48700]	Loss: 2.9779	LR: 0.004712
Training Epoch: 1 [2816/48700]	Loss: 2.9644	LR: 0.005236
Training Epoch: 1 [3072/48700]	Loss: 2.9333	LR: 0.005759
Training Epoch: 1 [3328/48700]	Loss: 2.9231	LR: 0.006283
Training Epoch: 1 [3584/48700]	Loss: 2.8643	LR: 0.006806
Training Epoch: 1 [3840/48700]	Loss: 2.8720	LR: 0.007330
Training Epoch: 1 [4096/48700]	Loss: 2.8847	LR: 0.007853
Training Epoch: 1 [4352/48700]	Loss: 2.8318	LR: 0.008377
Training Epoch: 1 [4608/48700]	Loss: 2.8434	LR: 0.008901
Training Epoch: 1 [4864/48700]	Loss: 2.8260	LR: 0.009424
Training Epoch: 1 [5120/48700]	Loss: 2.9069	LR: 0.009948
Training Epoch: 1 [5376/48700]	Loss: 2.8141	LR: 0.010471
Training Epoch: 1 [5632/48700]	Loss: 2.8282	LR: 0.010995
Training Epoch: 1 [5888/48700]	Loss: 2.7846	LR: 0.011518
Training Epoch: 1 [6144/48700]	Loss: 2.7623	LR: 0.012042
Training Epoch: 1 [6400/48700]	Loss: 2.7825	LR: 0.012565
Training Epoch: 1 [6656/48700]	Loss: 2.7879	LR: 0.013089
Training Epoch: 1 [6912/48700]	Loss: 2.7612	LR: 0.013613
Training Epoch: 1 [7168/48700]	Loss: 2.7416	LR: 0.014136
Training Epoch: 1 [7424/48700]	Loss: 2.7799	LR: 0.014660
Training Epoch: 1 [7680/48700]	Loss: 2.7506	LR: 0.015183
Training Epoch: 1 [7936/48700]	Loss: 2.7318	LR: 0.015707
Training Epoch: 1 [8192/48700]	Loss: 2.7167	LR: 0.016230
Training Epoch: 1 [8448/48700]	Loss: 2.6924	LR: 0.016754
Training Epoch: 1 [8704/48700]	Loss: 2.7389	LR: 0.017277
Training Epoch: 1 [8960/48700]	Loss: 2.7142	LR: 0.017801
Training Epoch: 1 [9216/48700]	Loss: 2.7623	LR: 0.018325
Training Epoch: 1 [9472/48700]	Loss: 2.6825	LR: 0.018848
Training Epoch: 1 [9728/48700]	Loss: 2.6108	LR: 0.019372
Training Epoch: 1 [9984/48700]	Loss: 2.6845	LR: 0.019895
Training Epoch: 1 [10240/48700]	Loss: 2.6497	LR: 0.020419
Training Epoch: 1 [10496/48700]	Loss: 2.6394	LR: 0.020942
Training Epoch: 1 [10752/48700]	Loss: 2.6765	LR: 0.021466
Training Epoch: 1 [11008/48700]	Loss: 2.6284	LR: 0.021990
Training Epoch: 1 [11264/48700]	Loss: 2.5642	LR: 0.022513
Training Epoch: 1 [11520/48700]	Loss: 2.6718	LR: 0.023037
Training Epoch: 1 [11776/48700]	Loss: 2.6311	LR: 0.023560
Training Epoch: 1 [12032/48700]	Loss: 2.6441	LR: 0.024084
Training Epoch: 1 [12288/48700]	Loss: 2.5975	LR: 0.024607
Training Epoch: 1 [12544/48700]	Loss: 2.5365	LR: 0.025131
Training Epoch: 1 [12800/48700]	Loss: 2.5664	LR: 0.025654
Training Epoch: 1 [13056/48700]	Loss: 2.6229	LR: 0.026178
Training Epoch: 1 [13312/48700]	Loss: 2.6065	LR: 0.026702
Training Epoch: 1 [13568/48700]	Loss: 2.6539	LR: 0.027225
Training Epoch: 1 [13824/48700]	Loss: 2.6588	LR: 0.027749
Training Epoch: 1 [14080/48700]	Loss: 2.5626	LR: 0.028272
Training Epoch: 1 [14336/48700]	Loss: 2.5956	LR: 0.028796
Training Epoch: 1 [14592/48700]	Loss: 2.5669	LR: 0.029319
Training Epoch: 1 [14848/48700]	Loss: 2.4225	LR: 0.029843
Training Epoch: 1 [15104/48700]	Loss: 2.4941	LR: 0.030366
Training Epoch: 1 [15360/48700]	Loss: 2.5152	LR: 0.030890
Training Epoch: 1 [15616/48700]	Loss: 2.6031	LR: 0.031414
Training Epoch: 1 [15872/48700]	Loss: 2.5254	LR: 0.031937
Training Epoch: 1 [16128/48700]	Loss: 2.5610	LR: 0.032461
Training Epoch: 1 [16384/48700]	Loss: 2.5320	LR: 0.032984
Training Epoch: 1 [16640/48700]	Loss: 2.4369	LR: 0.033508
Training Epoch: 1 [16896/48700]	Loss: 2.5634	LR: 0.034031
Training Epoch: 1 [17152/48700]	Loss: 2.5056	LR: 0.034555
Training Epoch: 1 [17408/48700]	Loss: 2.4244	LR: 0.035079
Training Epoch: 1 [17664/48700]	Loss: 2.3988	LR: 0.035602
Training Epoch: 1 [17920/48700]	Loss: 2.4497	LR: 0.036126
Training Epoch: 1 [18176/48700]	Loss: 2.4184	LR: 0.036649
Training Epoch: 1 [18432/48700]	Loss: 2.4191	LR: 0.037173
Training Epoch: 1 [18688/48700]	Loss: 2.5069	LR: 0.037696
Training Epoch: 1 [18944/48700]	Loss: 2.5040	LR: 0.038220
Training Epoch: 1 [19200/48700]	Loss: 2.5312	LR: 0.038743
Training Epoch: 1 [19456/48700]	Loss: 2.4686	LR: 0.039267
Training Epoch: 1 [19712/48700]	Loss: 2.4784	LR: 0.039791
Training Epoch: 1 [19968/48700]	Loss: 2.4775	LR: 0.040314
Training Epoch: 1 [20224/48700]	Loss: 2.5759	LR: 0.040838
Training Epoch: 1 [20480/48700]	Loss: 2.4290	LR: 0.041361
Training Epoch: 1 [20736/48700]	Loss: 2.4799	LR: 0.041885
Training Epoch: 1 [20992/48700]	Loss: 2.4767	LR: 0.042408
Training Epoch: 1 [21248/48700]	Loss: 2.5127	LR: 0.042932
Training Epoch: 1 [21504/48700]	Loss: 2.4512	LR: 0.043455
Training Epoch: 1 [21760/48700]	Loss: 2.4907	LR: 0.043979
Training Epoch: 1 [22016/48700]	Loss: 2.4162	LR: 0.044503
Training Epoch: 1 [22272/48700]	Loss: 2.5076	LR: 0.045026
Training Epoch: 1 [22528/48700]	Loss: 2.4855	LR: 0.045550
Training Epoch: 1 [22784/48700]	Loss: 2.4256	LR: 0.046073
Training Epoch: 1 [23040/48700]	Loss: 2.4721	LR: 0.046597
Training Epoch: 1 [23296/48700]	Loss: 2.4743	LR: 0.047120
Training Epoch: 1 [23552/48700]	Loss: 2.3919	LR: 0.047644
Training Epoch: 1 [23808/48700]	Loss: 2.4137	LR: 0.048168
Training Epoch: 1 [24064/48700]	Loss: 2.4670	LR: 0.048691
Training Epoch: 1 [24320/48700]	Loss: 2.4369	LR: 0.049215
Training Epoch: 1 [24576/48700]	Loss: 2.4433	LR: 0.049738
Training Epoch: 1 [24832/48700]	Loss: 2.3396	LR: 0.050262
Training Epoch: 1 [25088/48700]	Loss: 2.4703	LR: 0.050785
Training Epoch: 1 [25344/48700]	Loss: 2.4076	LR: 0.051309
Training Epoch: 1 [25600/48700]	Loss: 2.3716	LR: 0.051832
Training Epoch: 1 [25856/48700]	Loss: 2.2372	LR: 0.052356
Training Epoch: 1 [26112/48700]	Loss: 2.4148	LR: 0.052880
Training Epoch: 1 [26368/48700]	Loss: 2.5512	LR: 0.053403
Training Epoch: 1 [26624/48700]	Loss: 2.4430	LR: 0.053927
Training Epoch: 1 [26880/48700]	Loss: 2.5335	LR: 0.054450
Training Epoch: 1 [27136/48700]	Loss: 2.5132	LR: 0.054974
Training Epoch: 1 [27392/48700]	Loss: 2.4763	LR: 0.055497
Training Epoch: 1 [27648/48700]	Loss: 2.5048	LR: 0.056021
Training Epoch: 1 [27904/48700]	Loss: 2.3809	LR: 0.056545
Training Epoch: 1 [28160/48700]	Loss: 2.4962	LR: 0.057068
Training Epoch: 1 [28416/48700]	Loss: 2.4600	LR: 0.057592
Training Epoch: 1 [28672/48700]	Loss: 2.3180	LR: 0.058115
Training Epoch: 1 [28928/48700]	Loss: 2.4139	LR: 0.058639
Training Epoch: 1 [29184/48700]	Loss: 2.4620	LR: 0.059162
Training Epoch: 1 [29440/48700]	Loss: 2.4760	LR: 0.059686
Training Epoch: 1 [29696/48700]	Loss: 2.4258	LR: 0.060209
Training Epoch: 1 [29952/48700]	Loss: 2.4149	LR: 0.060733
Training Epoch: 1 [30208/48700]	Loss: 2.5371	LR: 0.061257
Training Epoch: 1 [30464/48700]	Loss: 2.3596	LR: 0.061780
Training Epoch: 1 [30720/48700]	Loss: 2.2640	LR: 0.062304
Training Epoch: 1 [30976/48700]	Loss: 2.4422	LR: 0.062827
Training Epoch: 1 [31232/48700]	Loss: 2.5801	LR: 0.063351
Training Epoch: 1 [31488/48700]	Loss: 2.4516	LR: 0.063874
Training Epoch: 1 [31744/48700]	Loss: 2.3610	LR: 0.064398
Training Epoch: 1 [32000/48700]	Loss: 2.4984	LR: 0.064921
Training Epoch: 1 [32256/48700]	Loss: 2.4215	LR: 0.065445
Training Epoch: 1 [32512/48700]	Loss: 2.3594	LR: 0.065969
Training Epoch: 1 [32768/48700]	Loss: 2.4163	LR: 0.066492
Training Epoch: 1 [33024/48700]	Loss: 2.4036	LR: 0.067016
Training Epoch: 1 [33280/48700]	Loss: 2.4120	LR: 0.067539
Training Epoch: 1 [33536/48700]	Loss: 2.3924	LR: 0.068063
Training Epoch: 1 [33792/48700]	Loss: 2.3641	LR: 0.068586
Training Epoch: 1 [34048/48700]	Loss: 2.4366	LR: 0.069110
Training Epoch: 1 [34304/48700]	Loss: 2.4163	LR: 0.069634
Training Epoch: 1 [34560/48700]	Loss: 2.4087	LR: 0.070157
Training Epoch: 1 [34816/48700]	Loss: 2.3623	LR: 0.070681
Training Epoch: 1 [35072/48700]	Loss: 2.3256	LR: 0.071204
Training Epoch: 1 [35328/48700]	Loss: 2.2787	LR: 0.071728
Training Epoch: 1 [35584/48700]	Loss: 2.3825	LR: 0.072251
Training Epoch: 1 [35840/48700]	Loss: 2.3864	LR: 0.072775
Training Epoch: 1 [36096/48700]	Loss: 2.3215	LR: 0.073298
Training Epoch: 1 [36352/48700]	Loss: 2.3460	LR: 0.073822
Training Epoch: 1 [36608/48700]	Loss: 2.3743	LR: 0.074346
Training Epoch: 1 [36864/48700]	Loss: 2.4182	LR: 0.074869
Training Epoch: 1 [37120/48700]	Loss: 2.3905	LR: 0.075393
Training Epoch: 1 [37376/48700]	Loss: 2.4491	LR: 0.075916
Training Epoch: 1 [37632/48700]	Loss: 2.3469	LR: 0.076440
Training Epoch: 1 [37888/48700]	Loss: 2.4743	LR: 0.076963
Training Epoch: 1 [38144/48700]	Loss: 2.3299	LR: 0.077487
Training Epoch: 1 [38400/48700]	Loss: 2.3117	LR: 0.078010
Training Epoch: 1 [38656/48700]	Loss: 2.3949	LR: 0.078534
Training Epoch: 1 [38912/48700]	Loss: 2.3709	LR: 0.079058
Training Epoch: 1 [39168/48700]	Loss: 2.3492	LR: 0.079581
Training Epoch: 1 [39424/48700]	Loss: 2.3308	LR: 0.080105
Training Epoch: 1 [39680/48700]	Loss: 2.3629	LR: 0.080628
Training Epoch: 1 [39936/48700]	Loss: 2.4268	LR: 0.081152
Training Epoch: 1 [40192/48700]	Loss: 2.3877	LR: 0.081675
Training Epoch: 1 [40448/48700]	Loss: 2.4374	LR: 0.082199
Training Epoch: 1 [40704/48700]	Loss: 2.4491	LR: 0.082723
Training Epoch: 1 [40960/48700]	Loss: 2.2811	LR: 0.083246
Training Epoch: 1 [41216/48700]	Loss: 2.3445	LR: 0.083770
Training Epoch: 1 [41472/48700]	Loss: 2.2701	LR: 0.084293
Training Epoch: 1 [41728/48700]	Loss: 2.3649	LR: 0.084817
Training Epoch: 1 [41984/48700]	Loss: 2.3783	LR: 0.085340
Training Epoch: 1 [42240/48700]	Loss: 2.2725	LR: 0.085864
Training Epoch: 1 [42496/48700]	Loss: 2.4430	LR: 0.086387
Training Epoch: 1 [42752/48700]	Loss: 2.3636	LR: 0.086911
Training Epoch: 1 [43008/48700]	Loss: 2.4745	LR: 0.087435
Training Epoch: 1 [43264/48700]	Loss: 2.2948	LR: 0.087958
Training Epoch: 1 [43520/48700]	Loss: 2.3131	LR: 0.088482
Training Epoch: 1 [43776/48700]	Loss: 2.4232	LR: 0.089005
Training Epoch: 1 [44032/48700]	Loss: 2.3065	LR: 0.089529
Training Epoch: 1 [44288/48700]	Loss: 2.4151	LR: 0.090052
Training Epoch: 1 [44544/48700]	Loss: 2.3632	LR: 0.090576
Training Epoch: 1 [44800/48700]	Loss: 2.3259	LR: 0.091099
Training Epoch: 1 [45056/48700]	Loss: 2.3871	LR: 0.091623
Training Epoch: 1 [45312/48700]	Loss: 2.2848	LR: 0.092147
Training Epoch: 1 [45568/48700]	Loss: 2.3487	LR: 0.092670
Training Epoch: 1 [45824/48700]	Loss: 2.5206	LR: 0.093194
Training Epoch: 1 [46080/48700]	Loss: 2.3228	LR: 0.093717
Training Epoch: 1 [46336/48700]	Loss: 2.1408	LR: 0.094241
Training Epoch: 1 [46592/48700]	Loss: 2.3115	LR: 0.094764
Training Epoch: 1 [46848/48700]	Loss: 2.3670	LR: 0.095288
Training Epoch: 1 [47104/48700]	Loss: 2.2951	LR: 0.095812
Training Epoch: 1 [47360/48700]	Loss: 2.2237	LR: 0.096335
Training Epoch: 1 [47616/48700]	Loss: 2.3333	LR: 0.096859
Training Epoch: 1 [47872/48700]	Loss: 2.1415	LR: 0.097382
Training Epoch: 1 [48128/48700]	Loss: 2.3293	LR: 0.097906
Training Epoch: 1 [48384/48700]	Loss: 2.3107	LR: 0.098429
Training Epoch: 1 [48640/48700]	Loss: 2.2635	LR: 0.098953
Training Epoch: 1 [48700/48700]	Loss: 2.2436	LR: 0.099476
Epoch 1 - Average Train Loss: 2.5193, Train Accuracy: 0.2170
Epoch 1 training time consumed: 27.72s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0097, Accuracy: 0.2548, Time consumed:1.09s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-1-best.pth
Training Epoch: 2 [256/48700]	Loss: 2.2811	LR: 0.100000
Training Epoch: 2 [512/48700]	Loss: 2.2282	LR: 0.100000
Training Epoch: 2 [768/48700]	Loss: 2.3467	LR: 0.100000
Training Epoch: 2 [1024/48700]	Loss: 2.3485	LR: 0.100000
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Training Epoch: 2 [41472/48700]	Loss: 1.9727	LR: 0.100000
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Training Epoch: 2 [42496/48700]	Loss: 2.0544	LR: 0.100000
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Training Epoch: 2 [48128/48700]	Loss: 1.9635	LR: 0.100000
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Training Epoch: 2 [48700/48700]	Loss: 2.2126	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1499, Train Accuracy: 0.3304
Epoch 2 training time consumed: 26.86s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0082, Accuracy: 0.3737, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-2-best.pth
Training Epoch: 3 [256/48700]	Loss: 1.9870	LR: 0.100000
Training Epoch: 3 [512/48700]	Loss: 1.9383	LR: 0.100000
Training Epoch: 3 [768/48700]	Loss: 2.1044	LR: 0.100000
Training Epoch: 3 [1024/48700]	Loss: 1.8733	LR: 0.100000
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Training Epoch: 3 [1536/48700]	Loss: 1.9735	LR: 0.100000
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Training Epoch: 3 [26368/48700]	Loss: 1.8305	LR: 0.100000
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Training Epoch: 3 [27392/48700]	Loss: 1.9134	LR: 0.100000
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Training Epoch: 3 [27904/48700]	Loss: 1.8759	LR: 0.100000
Training Epoch: 3 [28160/48700]	Loss: 1.9106	LR: 0.100000
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Training Epoch: 3 [28672/48700]	Loss: 1.9932	LR: 0.100000
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Training Epoch: 3 [29184/48700]	Loss: 1.9558	LR: 0.100000
Training Epoch: 3 [29440/48700]	Loss: 1.9122	LR: 0.100000
Training Epoch: 3 [29696/48700]	Loss: 2.0053	LR: 0.100000
Training Epoch: 3 [29952/48700]	Loss: 1.7823	LR: 0.100000
Training Epoch: 3 [30208/48700]	Loss: 1.9712	LR: 0.100000
Training Epoch: 3 [30464/48700]	Loss: 1.8451	LR: 0.100000
Training Epoch: 3 [30720/48700]	Loss: 1.7839	LR: 0.100000
Training Epoch: 3 [30976/48700]	Loss: 1.8837	LR: 0.100000
Training Epoch: 3 [31232/48700]	Loss: 1.8894	LR: 0.100000
Training Epoch: 3 [31488/48700]	Loss: 1.8653	LR: 0.100000
Training Epoch: 3 [31744/48700]	Loss: 1.9391	LR: 0.100000
Training Epoch: 3 [32000/48700]	Loss: 1.8125	LR: 0.100000
Training Epoch: 3 [32256/48700]	Loss: 1.8458	LR: 0.100000
Training Epoch: 3 [32512/48700]	Loss: 1.9218	LR: 0.100000
Training Epoch: 3 [32768/48700]	Loss: 1.8465	LR: 0.100000
Training Epoch: 3 [33024/48700]	Loss: 1.8207	LR: 0.100000
Training Epoch: 3 [33280/48700]	Loss: 1.9559	LR: 0.100000
Training Epoch: 3 [33536/48700]	Loss: 1.8697	LR: 0.100000
Training Epoch: 3 [33792/48700]	Loss: 1.8534	LR: 0.100000
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Training Epoch: 3 [36352/48700]	Loss: 1.7927	LR: 0.100000
Training Epoch: 3 [36608/48700]	Loss: 1.9789	LR: 0.100000
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Training Epoch: 3 [37120/48700]	Loss: 1.8743	LR: 0.100000
Training Epoch: 3 [37376/48700]	Loss: 1.7979	LR: 0.100000
Training Epoch: 3 [37632/48700]	Loss: 1.8038	LR: 0.100000
Training Epoch: 3 [37888/48700]	Loss: 1.7843	LR: 0.100000
Training Epoch: 3 [38144/48700]	Loss: 1.8342	LR: 0.100000
Training Epoch: 3 [38400/48700]	Loss: 1.7906	LR: 0.100000
Training Epoch: 3 [38656/48700]	Loss: 1.9845	LR: 0.100000
Training Epoch: 3 [38912/48700]	Loss: 1.8623	LR: 0.100000
Training Epoch: 3 [39168/48700]	Loss: 1.8392	LR: 0.100000
Training Epoch: 3 [39424/48700]	Loss: 1.8250	LR: 0.100000
Training Epoch: 3 [39680/48700]	Loss: 1.7822	LR: 0.100000
Training Epoch: 3 [39936/48700]	Loss: 1.8297	LR: 0.100000
Training Epoch: 3 [40192/48700]	Loss: 1.9104	LR: 0.100000
Training Epoch: 3 [40448/48700]	Loss: 1.8007	LR: 0.100000
Training Epoch: 3 [40704/48700]	Loss: 1.8250	LR: 0.100000
Training Epoch: 3 [40960/48700]	Loss: 1.9410	LR: 0.100000
Training Epoch: 3 [41216/48700]	Loss: 1.8377	LR: 0.100000
Training Epoch: 3 [41472/48700]	Loss: 1.8297	LR: 0.100000
Training Epoch: 3 [41728/48700]	Loss: 1.6547	LR: 0.100000
Training Epoch: 3 [41984/48700]	Loss: 1.8285	LR: 0.100000
Training Epoch: 3 [42240/48700]	Loss: 1.8818	LR: 0.100000
Training Epoch: 3 [42496/48700]	Loss: 2.0028	LR: 0.100000
Training Epoch: 3 [42752/48700]	Loss: 2.0250	LR: 0.100000
Training Epoch: 3 [43008/48700]	Loss: 1.9082	LR: 0.100000
Training Epoch: 3 [43264/48700]	Loss: 1.9601	LR: 0.100000
Training Epoch: 3 [43520/48700]	Loss: 1.9356	LR: 0.100000
Training Epoch: 3 [43776/48700]	Loss: 1.9126	LR: 0.100000
Training Epoch: 3 [44032/48700]	Loss: 1.8578	LR: 0.100000
Training Epoch: 3 [44288/48700]	Loss: 1.8291	LR: 0.100000
Training Epoch: 3 [44544/48700]	Loss: 2.0055	LR: 0.100000
Training Epoch: 3 [44800/48700]	Loss: 1.8865	LR: 0.100000
Training Epoch: 3 [45056/48700]	Loss: 1.7836	LR: 0.100000
Training Epoch: 3 [45312/48700]	Loss: 1.9240	LR: 0.100000
Training Epoch: 3 [45568/48700]	Loss: 1.7697	LR: 0.100000
Training Epoch: 3 [45824/48700]	Loss: 1.7967	LR: 0.100000
Training Epoch: 3 [46080/48700]	Loss: 1.7973	LR: 0.100000
Training Epoch: 3 [46336/48700]	Loss: 1.7530	LR: 0.100000
Training Epoch: 3 [46592/48700]	Loss: 1.8624	LR: 0.100000
Training Epoch: 3 [46848/48700]	Loss: 1.9726	LR: 0.100000
Training Epoch: 3 [47104/48700]	Loss: 1.9844	LR: 0.100000
Training Epoch: 3 [47360/48700]	Loss: 1.8538	LR: 0.100000
Training Epoch: 3 [47616/48700]	Loss: 1.8083	LR: 0.100000
Training Epoch: 3 [47872/48700]	Loss: 1.9288	LR: 0.100000
Training Epoch: 3 [48128/48700]	Loss: 1.9244	LR: 0.100000
Training Epoch: 3 [48384/48700]	Loss: 1.8628	LR: 0.100000
Training Epoch: 3 [48640/48700]	Loss: 1.7767	LR: 0.100000
Training Epoch: 3 [48700/48700]	Loss: 1.8951	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9129, Train Accuracy: 0.4021
Epoch 3 training time consumed: 26.90s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0087, Accuracy: 0.3550, Time consumed:0.92s
Training Epoch: 4 [256/48700]	Loss: 1.7860	LR: 0.100000
Training Epoch: 4 [512/48700]	Loss: 1.7898	LR: 0.100000
Training Epoch: 4 [768/48700]	Loss: 1.8394	LR: 0.100000
Training Epoch: 4 [1024/48700]	Loss: 1.7782	LR: 0.100000
Training Epoch: 4 [1280/48700]	Loss: 1.8100	LR: 0.100000
Training Epoch: 4 [1536/48700]	Loss: 1.8514	LR: 0.100000
Training Epoch: 4 [1792/48700]	Loss: 1.8592	LR: 0.100000
Training Epoch: 4 [2048/48700]	Loss: 1.8665	LR: 0.100000
Training Epoch: 4 [2304/48700]	Loss: 1.8327	LR: 0.100000
Training Epoch: 4 [2560/48700]	Loss: 1.8882	LR: 0.100000
Training Epoch: 4 [2816/48700]	Loss: 1.7473	LR: 0.100000
Training Epoch: 4 [3072/48700]	Loss: 1.8084	LR: 0.100000
Training Epoch: 4 [3328/48700]	Loss: 1.7795	LR: 0.100000
Training Epoch: 4 [3584/48700]	Loss: 1.8612	LR: 0.100000
Training Epoch: 4 [3840/48700]	Loss: 1.9460	LR: 0.100000
Training Epoch: 4 [4096/48700]	Loss: 1.8514	LR: 0.100000
Training Epoch: 4 [4352/48700]	Loss: 1.7270	LR: 0.100000
Training Epoch: 4 [4608/48700]	Loss: 1.7192	LR: 0.100000
Training Epoch: 4 [4864/48700]	Loss: 1.8460	LR: 0.100000
Training Epoch: 4 [5120/48700]	Loss: 1.7784	LR: 0.100000
Training Epoch: 4 [5376/48700]	Loss: 1.9930	LR: 0.100000
Training Epoch: 4 [5632/48700]	Loss: 1.6404	LR: 0.100000
Training Epoch: 4 [5888/48700]	Loss: 1.7406	LR: 0.100000
Training Epoch: 4 [6144/48700]	Loss: 1.8809	LR: 0.100000
Training Epoch: 4 [6400/48700]	Loss: 1.8079	LR: 0.100000
Training Epoch: 4 [6656/48700]	Loss: 1.7063	LR: 0.100000
Training Epoch: 4 [6912/48700]	Loss: 1.7675	LR: 0.100000
Training Epoch: 4 [7168/48700]	Loss: 1.7814	LR: 0.100000
Training Epoch: 4 [7424/48700]	Loss: 1.7594	LR: 0.100000
Training Epoch: 4 [7680/48700]	Loss: 1.7876	LR: 0.100000
Training Epoch: 4 [7936/48700]	Loss: 1.7611	LR: 0.100000
Training Epoch: 4 [8192/48700]	Loss: 1.7826	LR: 0.100000
Training Epoch: 4 [8448/48700]	Loss: 1.7626	LR: 0.100000
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Training Epoch: 4 [11264/48700]	Loss: 1.8161	LR: 0.100000
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Training Epoch: 4 [12032/48700]	Loss: 1.7038	LR: 0.100000
Training Epoch: 4 [12288/48700]	Loss: 1.7852	LR: 0.100000
Training Epoch: 4 [12544/48700]	Loss: 1.8131	LR: 0.100000
Training Epoch: 4 [12800/48700]	Loss: 1.7266	LR: 0.100000
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Training Epoch: 4 [19968/48700]	Loss: 1.8619	LR: 0.100000
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Training Epoch: 4 [26880/48700]	Loss: 1.8523	LR: 0.100000
Training Epoch: 4 [27136/48700]	Loss: 1.7473	LR: 0.100000
Training Epoch: 4 [27392/48700]	Loss: 1.6585	LR: 0.100000
Training Epoch: 4 [27648/48700]	Loss: 1.7874	LR: 0.100000
Training Epoch: 4 [27904/48700]	Loss: 1.8823	LR: 0.100000
Training Epoch: 4 [28160/48700]	Loss: 1.8655	LR: 0.100000
Training Epoch: 4 [28416/48700]	Loss: 1.5767	LR: 0.100000
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Training Epoch: 4 [29184/48700]	Loss: 1.8065	LR: 0.100000
Training Epoch: 4 [29440/48700]	Loss: 1.6781	LR: 0.100000
Training Epoch: 4 [29696/48700]	Loss: 1.6468	LR: 0.100000
Training Epoch: 4 [29952/48700]	Loss: 1.7264	LR: 0.100000
Training Epoch: 4 [30208/48700]	Loss: 1.6984	LR: 0.100000
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Training Epoch: 4 [30720/48700]	Loss: 1.6673	LR: 0.100000
Training Epoch: 4 [30976/48700]	Loss: 1.8126	LR: 0.100000
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Training Epoch: 4 [31744/48700]	Loss: 1.7377	LR: 0.100000
Training Epoch: 4 [32000/48700]	Loss: 1.7960	LR: 0.100000
Training Epoch: 4 [32256/48700]	Loss: 1.8170	LR: 0.100000
Training Epoch: 4 [32512/48700]	Loss: 1.7655	LR: 0.100000
Training Epoch: 4 [32768/48700]	Loss: 1.7500	LR: 0.100000
Training Epoch: 4 [33024/48700]	Loss: 1.8573	LR: 0.100000
Training Epoch: 4 [33280/48700]	Loss: 1.7635	LR: 0.100000
Training Epoch: 4 [33536/48700]	Loss: 1.6750	LR: 0.100000
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Training Epoch: 4 [36352/48700]	Loss: 1.6708	LR: 0.100000
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Training Epoch: 4 [42240/48700]	Loss: 1.7050	LR: 0.100000
Training Epoch: 4 [42496/48700]	Loss: 1.6924	LR: 0.100000
Training Epoch: 4 [42752/48700]	Loss: 1.6989	LR: 0.100000
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Training Epoch: 4 [43264/48700]	Loss: 1.6708	LR: 0.100000
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Training Epoch: 4 [43776/48700]	Loss: 1.6773	LR: 0.100000
Training Epoch: 4 [44032/48700]	Loss: 1.7918	LR: 0.100000
Training Epoch: 4 [44288/48700]	Loss: 1.6819	LR: 0.100000
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Training Epoch: 4 [44800/48700]	Loss: 1.6800	LR: 0.100000
Training Epoch: 4 [45056/48700]	Loss: 1.6564	LR: 0.100000
Training Epoch: 4 [45312/48700]	Loss: 1.6729	LR: 0.100000
Training Epoch: 4 [45568/48700]	Loss: 1.6247	LR: 0.100000
Training Epoch: 4 [45824/48700]	Loss: 1.5107	LR: 0.100000
Training Epoch: 4 [46080/48700]	Loss: 1.6028	LR: 0.100000
Training Epoch: 4 [46336/48700]	Loss: 1.7224	LR: 0.100000
Training Epoch: 4 [46592/48700]	Loss: 1.8592	LR: 0.100000
Training Epoch: 4 [46848/48700]	Loss: 1.6654	LR: 0.100000
Training Epoch: 4 [47104/48700]	Loss: 1.5447	LR: 0.100000
Training Epoch: 4 [47360/48700]	Loss: 1.7047	LR: 0.100000
Training Epoch: 4 [47616/48700]	Loss: 1.6749	LR: 0.100000
Training Epoch: 4 [47872/48700]	Loss: 1.6617	LR: 0.100000
Training Epoch: 4 [48128/48700]	Loss: 1.6360	LR: 0.100000
Training Epoch: 4 [48384/48700]	Loss: 1.6440	LR: 0.100000
Training Epoch: 4 [48640/48700]	Loss: 1.6218	LR: 0.100000
Training Epoch: 4 [48700/48700]	Loss: 1.5736	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7439, Train Accuracy: 0.4503
Epoch 4 training time consumed: 26.99s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0073, Accuracy: 0.4468, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-4-best.pth
Training Epoch: 5 [256/48700]	Loss: 1.5215	LR: 0.100000
Training Epoch: 5 [512/48700]	Loss: 1.7096	LR: 0.100000
Training Epoch: 5 [768/48700]	Loss: 1.5415	LR: 0.100000
Training Epoch: 5 [1024/48700]	Loss: 1.6924	LR: 0.100000
Training Epoch: 5 [1280/48700]	Loss: 1.5817	LR: 0.100000
Training Epoch: 5 [1536/48700]	Loss: 1.6096	LR: 0.100000
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Training Epoch: 5 [2048/48700]	Loss: 1.6923	LR: 0.100000
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Training Epoch: 5 [48700/48700]	Loss: 1.6108	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5894, Train Accuracy: 0.4983
Epoch 5 training time consumed: 27.11s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0065, Accuracy: 0.4888, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-5-best.pth
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Training Epoch: 6 [30720/48700]	Loss: 1.4048	LR: 0.100000
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Training Epoch: 6 [31232/48700]	Loss: 1.4566	LR: 0.100000
Training Epoch: 6 [31488/48700]	Loss: 1.5369	LR: 0.100000
Training Epoch: 6 [31744/48700]	Loss: 1.6511	LR: 0.100000
Training Epoch: 6 [32000/48700]	Loss: 1.4337	LR: 0.100000
Training Epoch: 6 [32256/48700]	Loss: 1.5253	LR: 0.100000
Training Epoch: 6 [32512/48700]	Loss: 1.4023	LR: 0.100000
Training Epoch: 6 [32768/48700]	Loss: 1.3469	LR: 0.100000
Training Epoch: 6 [33024/48700]	Loss: 1.3994	LR: 0.100000
Training Epoch: 6 [33280/48700]	Loss: 1.4499	LR: 0.100000
Training Epoch: 6 [33536/48700]	Loss: 1.5953	LR: 0.100000
Training Epoch: 6 [33792/48700]	Loss: 1.4948	LR: 0.100000
Training Epoch: 6 [34048/48700]	Loss: 1.2405	LR: 0.100000
Training Epoch: 6 [34304/48700]	Loss: 1.3622	LR: 0.100000
Training Epoch: 6 [34560/48700]	Loss: 1.5044	LR: 0.100000
Training Epoch: 6 [34816/48700]	Loss: 1.4451	LR: 0.100000
Training Epoch: 6 [35072/48700]	Loss: 1.3110	LR: 0.100000
Training Epoch: 6 [35328/48700]	Loss: 1.4570	LR: 0.100000
Training Epoch: 6 [35584/48700]	Loss: 1.5381	LR: 0.100000
Training Epoch: 6 [35840/48700]	Loss: 1.5203	LR: 0.100000
Training Epoch: 6 [36096/48700]	Loss: 1.5153	LR: 0.100000
Training Epoch: 6 [36352/48700]	Loss: 1.3725	LR: 0.100000
Training Epoch: 6 [36608/48700]	Loss: 1.4032	LR: 0.100000
Training Epoch: 6 [36864/48700]	Loss: 1.2747	LR: 0.100000
Training Epoch: 6 [37120/48700]	Loss: 1.5570	LR: 0.100000
Training Epoch: 6 [37376/48700]	Loss: 1.5639	LR: 0.100000
Training Epoch: 6 [37632/48700]	Loss: 1.4684	LR: 0.100000
Training Epoch: 6 [37888/48700]	Loss: 1.4279	LR: 0.100000
Training Epoch: 6 [38144/48700]	Loss: 1.4414	LR: 0.100000
Training Epoch: 6 [38400/48700]	Loss: 1.2910	LR: 0.100000
Training Epoch: 6 [38656/48700]	Loss: 1.3562	LR: 0.100000
Training Epoch: 6 [38912/48700]	Loss: 1.4833	LR: 0.100000
Training Epoch: 6 [39168/48700]	Loss: 1.4111	LR: 0.100000
Training Epoch: 6 [39424/48700]	Loss: 1.4990	LR: 0.100000
Training Epoch: 6 [39680/48700]	Loss: 1.5583	LR: 0.100000
Training Epoch: 6 [39936/48700]	Loss: 1.4010	LR: 0.100000
Training Epoch: 6 [40192/48700]	Loss: 1.3227	LR: 0.100000
Training Epoch: 6 [40448/48700]	Loss: 1.5348	LR: 0.100000
Training Epoch: 6 [40704/48700]	Loss: 1.3020	LR: 0.100000
Training Epoch: 6 [40960/48700]	Loss: 1.3953	LR: 0.100000
Training Epoch: 6 [41216/48700]	Loss: 1.3750	LR: 0.100000
Training Epoch: 6 [41472/48700]	Loss: 1.2754	LR: 0.100000
Training Epoch: 6 [41728/48700]	Loss: 1.4621	LR: 0.100000
Training Epoch: 6 [41984/48700]	Loss: 1.4567	LR: 0.100000
Training Epoch: 6 [42240/48700]	Loss: 1.3388	LR: 0.100000
Training Epoch: 6 [42496/48700]	Loss: 1.4712	LR: 0.100000
Training Epoch: 6 [42752/48700]	Loss: 1.3557	LR: 0.100000
Training Epoch: 6 [43008/48700]	Loss: 1.4061	LR: 0.100000
Training Epoch: 6 [43264/48700]	Loss: 1.4142	LR: 0.100000
Training Epoch: 6 [43520/48700]	Loss: 1.4584	LR: 0.100000
Training Epoch: 6 [43776/48700]	Loss: 1.1759	LR: 0.100000
Training Epoch: 6 [44032/48700]	Loss: 1.3612	LR: 0.100000
Training Epoch: 6 [44288/48700]	Loss: 1.2554	LR: 0.100000
Training Epoch: 6 [44544/48700]	Loss: 1.4599	LR: 0.100000
Training Epoch: 6 [44800/48700]	Loss: 1.5466	LR: 0.100000
Training Epoch: 6 [45056/48700]	Loss: 1.4465	LR: 0.100000
Training Epoch: 6 [45312/48700]	Loss: 1.3705	LR: 0.100000
Training Epoch: 6 [45568/48700]	Loss: 1.3645	LR: 0.100000
Training Epoch: 6 [45824/48700]	Loss: 1.3960	LR: 0.100000
Training Epoch: 6 [46080/48700]	Loss: 1.4720	LR: 0.100000
Training Epoch: 6 [46336/48700]	Loss: 1.4047	LR: 0.100000
Training Epoch: 6 [46592/48700]	Loss: 1.4660	LR: 0.100000
Training Epoch: 6 [46848/48700]	Loss: 1.2915	LR: 0.100000
Training Epoch: 6 [47104/48700]	Loss: 1.5042	LR: 0.100000
Training Epoch: 6 [47360/48700]	Loss: 1.3887	LR: 0.100000
Training Epoch: 6 [47616/48700]	Loss: 1.3853	LR: 0.100000
Training Epoch: 6 [47872/48700]	Loss: 1.4376	LR: 0.100000
Training Epoch: 6 [48128/48700]	Loss: 1.5738	LR: 0.100000
Training Epoch: 6 [48384/48700]	Loss: 1.3165	LR: 0.100000
Training Epoch: 6 [48640/48700]	Loss: 1.6091	LR: 0.100000
Training Epoch: 6 [48700/48700]	Loss: 1.6759	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4575, Train Accuracy: 0.5363
Epoch 6 training time consumed: 26.90s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0070, Accuracy: 0.4797, Time consumed:1.01s
Training Epoch: 7 [256/48700]	Loss: 1.3903	LR: 0.100000
Training Epoch: 7 [512/48700]	Loss: 1.4701	LR: 0.100000
Training Epoch: 7 [768/48700]	Loss: 1.2600	LR: 0.100000
Training Epoch: 7 [1024/48700]	Loss: 1.4398	LR: 0.100000
Training Epoch: 7 [1280/48700]	Loss: 1.2985	LR: 0.100000
Training Epoch: 7 [1536/48700]	Loss: 1.4191	LR: 0.100000
Training Epoch: 7 [1792/48700]	Loss: 1.3989	LR: 0.100000
Training Epoch: 7 [2048/48700]	Loss: 1.3921	LR: 0.100000
Training Epoch: 7 [2304/48700]	Loss: 1.3972	LR: 0.100000
Training Epoch: 7 [2560/48700]	Loss: 1.3740	LR: 0.100000
Training Epoch: 7 [2816/48700]	Loss: 1.3168	LR: 0.100000
Training Epoch: 7 [3072/48700]	Loss: 1.4322	LR: 0.100000
Training Epoch: 7 [3328/48700]	Loss: 1.4343	LR: 0.100000
Training Epoch: 7 [3584/48700]	Loss: 1.3048	LR: 0.100000
Training Epoch: 7 [3840/48700]	Loss: 1.4557	LR: 0.100000
Training Epoch: 7 [4096/48700]	Loss: 1.3623	LR: 0.100000
Training Epoch: 7 [4352/48700]	Loss: 1.4902	LR: 0.100000
Training Epoch: 7 [4608/48700]	Loss: 1.4076	LR: 0.100000
Training Epoch: 7 [4864/48700]	Loss: 1.3828	LR: 0.100000
Training Epoch: 7 [5120/48700]	Loss: 1.2840	LR: 0.100000
Training Epoch: 7 [5376/48700]	Loss: 1.3915	LR: 0.100000
Training Epoch: 7 [5632/48700]	Loss: 1.5110	LR: 0.100000
Training Epoch: 7 [5888/48700]	Loss: 1.5412	LR: 0.100000
Training Epoch: 7 [6144/48700]	Loss: 1.5581	LR: 0.100000
Training Epoch: 7 [6400/48700]	Loss: 1.2920	LR: 0.100000
Training Epoch: 7 [6656/48700]	Loss: 1.2254	LR: 0.100000
Training Epoch: 7 [6912/48700]	Loss: 1.5496	LR: 0.100000
Training Epoch: 7 [7168/48700]	Loss: 1.4794	LR: 0.100000
Training Epoch: 7 [7424/48700]	Loss: 1.4052	LR: 0.100000
Training Epoch: 7 [7680/48700]	Loss: 1.4452	LR: 0.100000
Training Epoch: 7 [7936/48700]	Loss: 1.2211	LR: 0.100000
Training Epoch: 7 [8192/48700]	Loss: 1.4633	LR: 0.100000
Training Epoch: 7 [8448/48700]	Loss: 1.3159	LR: 0.100000
Training Epoch: 7 [8704/48700]	Loss: 1.4039	LR: 0.100000
Training Epoch: 7 [8960/48700]	Loss: 1.4802	LR: 0.100000
Training Epoch: 7 [9216/48700]	Loss: 1.3689	LR: 0.100000
Training Epoch: 7 [9472/48700]	Loss: 1.3912	LR: 0.100000
Training Epoch: 7 [9728/48700]	Loss: 1.3938	LR: 0.100000
Training Epoch: 7 [9984/48700]	Loss: 1.3474	LR: 0.100000
Training Epoch: 7 [10240/48700]	Loss: 1.3470	LR: 0.100000
Training Epoch: 7 [10496/48700]	Loss: 1.2156	LR: 0.100000
Training Epoch: 7 [10752/48700]	Loss: 1.4288	LR: 0.100000
Training Epoch: 7 [11008/48700]	Loss: 1.3549	LR: 0.100000
Training Epoch: 7 [11264/48700]	Loss: 1.4729	LR: 0.100000
Training Epoch: 7 [11520/48700]	Loss: 1.3583	LR: 0.100000
Training Epoch: 7 [11776/48700]	Loss: 1.3705	LR: 0.100000
Training Epoch: 7 [12032/48700]	Loss: 1.3603	LR: 0.100000
Training Epoch: 7 [12288/48700]	Loss: 1.3614	LR: 0.100000
Training Epoch: 7 [12544/48700]	Loss: 1.4320	LR: 0.100000
Training Epoch: 7 [12800/48700]	Loss: 1.3409	LR: 0.100000
Training Epoch: 7 [13056/48700]	Loss: 1.4228	LR: 0.100000
Training Epoch: 7 [13312/48700]	Loss: 1.4937	LR: 0.100000
Training Epoch: 7 [13568/48700]	Loss: 1.4181	LR: 0.100000
Training Epoch: 7 [13824/48700]	Loss: 1.4489	LR: 0.100000
Training Epoch: 7 [14080/48700]	Loss: 1.2728	LR: 0.100000
Training Epoch: 7 [14336/48700]	Loss: 1.3974	LR: 0.100000
Training Epoch: 7 [14592/48700]	Loss: 1.3858	LR: 0.100000
Training Epoch: 7 [14848/48700]	Loss: 1.3352	LR: 0.100000
Training Epoch: 7 [15104/48700]	Loss: 1.3622	LR: 0.100000
Training Epoch: 7 [15360/48700]	Loss: 1.2394	LR: 0.100000
Training Epoch: 7 [15616/48700]	Loss: 1.4133	LR: 0.100000
Training Epoch: 7 [15872/48700]	Loss: 1.3756	LR: 0.100000
Training Epoch: 7 [16128/48700]	Loss: 1.3663	LR: 0.100000
Training Epoch: 7 [16384/48700]	Loss: 1.4037	LR: 0.100000
Training Epoch: 7 [16640/48700]	Loss: 1.4755	LR: 0.100000
Training Epoch: 7 [16896/48700]	Loss: 1.3474	LR: 0.100000
Training Epoch: 7 [17152/48700]	Loss: 1.3663	LR: 0.100000
Training Epoch: 7 [17408/48700]	Loss: 1.3630	LR: 0.100000
Training Epoch: 7 [17664/48700]	Loss: 1.4331	LR: 0.100000
Training Epoch: 7 [17920/48700]	Loss: 1.3182	LR: 0.100000
Training Epoch: 7 [18176/48700]	Loss: 1.2902	LR: 0.100000
Training Epoch: 7 [18432/48700]	Loss: 1.3145	LR: 0.100000
Training Epoch: 7 [18688/48700]	Loss: 1.3085	LR: 0.100000
Training Epoch: 7 [18944/48700]	Loss: 1.4103	LR: 0.100000
Training Epoch: 7 [19200/48700]	Loss: 1.2780	LR: 0.100000
Training Epoch: 7 [19456/48700]	Loss: 1.3716	LR: 0.100000
Training Epoch: 7 [19712/48700]	Loss: 1.3110	LR: 0.100000
Training Epoch: 7 [19968/48700]	Loss: 1.2758	LR: 0.100000
Training Epoch: 7 [20224/48700]	Loss: 1.4071	LR: 0.100000
Training Epoch: 7 [20480/48700]	Loss: 1.3502	LR: 0.100000
Training Epoch: 7 [20736/48700]	Loss: 1.3284	LR: 0.100000
Training Epoch: 7 [20992/48700]	Loss: 1.5240	LR: 0.100000
Training Epoch: 7 [21248/48700]	Loss: 1.3237	LR: 0.100000
Training Epoch: 7 [21504/48700]	Loss: 1.3221	LR: 0.100000
Training Epoch: 7 [21760/48700]	Loss: 1.2414	LR: 0.100000
Training Epoch: 7 [22016/48700]	Loss: 1.3530	LR: 0.100000
Training Epoch: 7 [22272/48700]	Loss: 1.5040	LR: 0.100000
Training Epoch: 7 [22528/48700]	Loss: 1.2319	LR: 0.100000
Training Epoch: 7 [22784/48700]	Loss: 1.3585	LR: 0.100000
Training Epoch: 7 [23040/48700]	Loss: 1.3232	LR: 0.100000
Training Epoch: 7 [23296/48700]	Loss: 1.5027	LR: 0.100000
Training Epoch: 7 [23552/48700]	Loss: 1.2928	LR: 0.100000
Training Epoch: 7 [23808/48700]	Loss: 1.2273	LR: 0.100000
Training Epoch: 7 [24064/48700]	Loss: 1.4242	LR: 0.100000
Training Epoch: 7 [24320/48700]	Loss: 1.3387	LR: 0.100000
Training Epoch: 7 [24576/48700]	Loss: 1.2296	LR: 0.100000
Training Epoch: 7 [24832/48700]	Loss: 1.2715	LR: 0.100000
Training Epoch: 7 [25088/48700]	Loss: 1.3613	LR: 0.100000
Training Epoch: 7 [25344/48700]	Loss: 1.3873	LR: 0.100000
Training Epoch: 7 [25600/48700]	Loss: 1.2058	LR: 0.100000
Training Epoch: 7 [25856/48700]	Loss: 1.3676	LR: 0.100000
Training Epoch: 7 [26112/48700]	Loss: 1.3779	LR: 0.100000
Training Epoch: 7 [26368/48700]	Loss: 1.3232	LR: 0.100000
Training Epoch: 7 [26624/48700]	Loss: 1.3999	LR: 0.100000
Training Epoch: 7 [26880/48700]	Loss: 1.3761	LR: 0.100000
Training Epoch: 7 [27136/48700]	Loss: 1.3092	LR: 0.100000
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Training Epoch: 7 [27648/48700]	Loss: 1.4553	LR: 0.100000
Training Epoch: 7 [27904/48700]	Loss: 1.6280	LR: 0.100000
Training Epoch: 7 [28160/48700]	Loss: 1.3415	LR: 0.100000
Training Epoch: 7 [28416/48700]	Loss: 1.3252	LR: 0.100000
Training Epoch: 7 [28672/48700]	Loss: 1.4010	LR: 0.100000
Training Epoch: 7 [28928/48700]	Loss: 1.3815	LR: 0.100000
Training Epoch: 7 [29184/48700]	Loss: 1.4011	LR: 0.100000
Training Epoch: 7 [29440/48700]	Loss: 1.2199	LR: 0.100000
Training Epoch: 7 [29696/48700]	Loss: 1.2681	LR: 0.100000
Training Epoch: 7 [29952/48700]	Loss: 1.4254	LR: 0.100000
Training Epoch: 7 [30208/48700]	Loss: 1.3911	LR: 0.100000
Training Epoch: 7 [30464/48700]	Loss: 1.5069	LR: 0.100000
Training Epoch: 7 [30720/48700]	Loss: 1.3545	LR: 0.100000
Training Epoch: 7 [30976/48700]	Loss: 1.4189	LR: 0.100000
Training Epoch: 7 [31232/48700]	Loss: 1.2176	LR: 0.100000
Training Epoch: 7 [31488/48700]	Loss: 1.3874	LR: 0.100000
Training Epoch: 7 [31744/48700]	Loss: 1.3071	LR: 0.100000
Training Epoch: 7 [32000/48700]	Loss: 1.4541	LR: 0.100000
Training Epoch: 7 [32256/48700]	Loss: 1.0857	LR: 0.100000
Training Epoch: 7 [32512/48700]	Loss: 1.3027	LR: 0.100000
Training Epoch: 7 [32768/48700]	Loss: 1.3725	LR: 0.100000
Training Epoch: 7 [33024/48700]	Loss: 1.2684	LR: 0.100000
Training Epoch: 7 [33280/48700]	Loss: 1.3635	LR: 0.100000
Training Epoch: 7 [33536/48700]	Loss: 1.1874	LR: 0.100000
Training Epoch: 7 [33792/48700]	Loss: 1.3904	LR: 0.100000
Training Epoch: 7 [34048/48700]	Loss: 1.2331	LR: 0.100000
Training Epoch: 7 [34304/48700]	Loss: 1.5011	LR: 0.100000
Training Epoch: 7 [34560/48700]	Loss: 1.2130	LR: 0.100000
Training Epoch: 7 [34816/48700]	Loss: 1.3002	LR: 0.100000
Training Epoch: 7 [35072/48700]	Loss: 1.3896	LR: 0.100000
Training Epoch: 7 [35328/48700]	Loss: 1.3160	LR: 0.100000
Training Epoch: 7 [35584/48700]	Loss: 1.3087	LR: 0.100000
Training Epoch: 7 [35840/48700]	Loss: 1.3659	LR: 0.100000
Training Epoch: 7 [36096/48700]	Loss: 1.3826	LR: 0.100000
Training Epoch: 7 [36352/48700]	Loss: 1.2526	LR: 0.100000
Training Epoch: 7 [36608/48700]	Loss: 1.4566	LR: 0.100000
Training Epoch: 7 [36864/48700]	Loss: 1.4211	LR: 0.100000
Training Epoch: 7 [37120/48700]	Loss: 1.4110	LR: 0.100000
Training Epoch: 7 [37376/48700]	Loss: 1.3685	LR: 0.100000
Training Epoch: 7 [37632/48700]	Loss: 1.3650	LR: 0.100000
Training Epoch: 7 [37888/48700]	Loss: 1.3580	LR: 0.100000
Training Epoch: 7 [38144/48700]	Loss: 1.3406	LR: 0.100000
Training Epoch: 7 [38400/48700]	Loss: 1.2893	LR: 0.100000
Training Epoch: 7 [38656/48700]	Loss: 1.1863	LR: 0.100000
Training Epoch: 7 [38912/48700]	Loss: 1.2232	LR: 0.100000
Training Epoch: 7 [39168/48700]	Loss: 1.2458	LR: 0.100000
Training Epoch: 7 [39424/48700]	Loss: 1.4608	LR: 0.100000
Training Epoch: 7 [39680/48700]	Loss: 1.2887	LR: 0.100000
Training Epoch: 7 [39936/48700]	Loss: 1.4333	LR: 0.100000
Training Epoch: 7 [40192/48700]	Loss: 1.2617	LR: 0.100000
Training Epoch: 7 [40448/48700]	Loss: 1.3522	LR: 0.100000
Training Epoch: 7 [40704/48700]	Loss: 1.2701	LR: 0.100000
Training Epoch: 7 [40960/48700]	Loss: 1.2639	LR: 0.100000
Training Epoch: 7 [41216/48700]	Loss: 1.2366	LR: 0.100000
Training Epoch: 7 [41472/48700]	Loss: 1.4363	LR: 0.100000
Training Epoch: 7 [41728/48700]	Loss: 1.3737	LR: 0.100000
Training Epoch: 7 [41984/48700]	Loss: 1.3786	LR: 0.100000
Training Epoch: 7 [42240/48700]	Loss: 1.3034	LR: 0.100000
Training Epoch: 7 [42496/48700]	Loss: 1.3107	LR: 0.100000
Training Epoch: 7 [42752/48700]	Loss: 1.4236	LR: 0.100000
Training Epoch: 7 [43008/48700]	Loss: 1.2593	LR: 0.100000
Training Epoch: 7 [43264/48700]	Loss: 1.3639	LR: 0.100000
Training Epoch: 7 [43520/48700]	Loss: 1.4479	LR: 0.100000
Training Epoch: 7 [43776/48700]	Loss: 1.3228	LR: 0.100000
Training Epoch: 7 [44032/48700]	Loss: 1.2646	LR: 0.100000
Training Epoch: 7 [44288/48700]	Loss: 1.3609	LR: 0.100000
Training Epoch: 7 [44544/48700]	Loss: 1.3793	LR: 0.100000
Training Epoch: 7 [44800/48700]	Loss: 1.2561	LR: 0.100000
Training Epoch: 7 [45056/48700]	Loss: 1.4938	LR: 0.100000
Training Epoch: 7 [45312/48700]	Loss: 1.2354	LR: 0.100000
Training Epoch: 7 [45568/48700]	Loss: 1.3040	LR: 0.100000
Training Epoch: 7 [45824/48700]	Loss: 1.3601	LR: 0.100000
Training Epoch: 7 [46080/48700]	Loss: 1.2933	LR: 0.100000
Training Epoch: 7 [46336/48700]	Loss: 1.3004	LR: 0.100000
Training Epoch: 7 [46592/48700]	Loss: 1.4483	LR: 0.100000
Training Epoch: 7 [46848/48700]	Loss: 1.2534	LR: 0.100000
Training Epoch: 7 [47104/48700]	Loss: 1.2951	LR: 0.100000
Training Epoch: 7 [47360/48700]	Loss: 1.4230	LR: 0.100000
Training Epoch: 7 [47616/48700]	Loss: 1.3221	LR: 0.100000
Training Epoch: 7 [47872/48700]	Loss: 1.3909	LR: 0.100000
Training Epoch: 7 [48128/48700]	Loss: 1.2174	LR: 0.100000
Training Epoch: 7 [48384/48700]	Loss: 1.3541	LR: 0.100000
Training Epoch: 7 [48640/48700]	Loss: 1.2091	LR: 0.100000
Training Epoch: 7 [48700/48700]	Loss: 1.1538	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3570, Train Accuracy: 0.5680
Epoch 7 training time consumed: 27.03s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0075, Accuracy: 0.4839, Time consumed:0.88s
Training Epoch: 8 [256/48700]	Loss: 1.2070	LR: 0.100000
Training Epoch: 8 [512/48700]	Loss: 1.3996	LR: 0.100000
Training Epoch: 8 [768/48700]	Loss: 1.3562	LR: 0.100000
Training Epoch: 8 [1024/48700]	Loss: 1.3078	LR: 0.100000
Training Epoch: 8 [1280/48700]	Loss: 1.2440	LR: 0.100000
Training Epoch: 8 [1536/48700]	Loss: 1.4538	LR: 0.100000
Training Epoch: 8 [1792/48700]	Loss: 1.4013	LR: 0.100000
Training Epoch: 8 [2048/48700]	Loss: 1.2782	LR: 0.100000
Training Epoch: 8 [2304/48700]	Loss: 1.2106	LR: 0.100000
Training Epoch: 8 [2560/48700]	Loss: 1.4056	LR: 0.100000
Training Epoch: 8 [2816/48700]	Loss: 1.3046	LR: 0.100000
Training Epoch: 8 [3072/48700]	Loss: 1.1766	LR: 0.100000
Training Epoch: 8 [3328/48700]	Loss: 1.3293	LR: 0.100000
Training Epoch: 8 [3584/48700]	Loss: 1.2291	LR: 0.100000
Training Epoch: 8 [3840/48700]	Loss: 1.2471	LR: 0.100000
Training Epoch: 8 [4096/48700]	Loss: 1.4135	LR: 0.100000
Training Epoch: 8 [4352/48700]	Loss: 1.1377	LR: 0.100000
Training Epoch: 8 [4608/48700]	Loss: 1.2884	LR: 0.100000
Training Epoch: 8 [4864/48700]	Loss: 1.3552	LR: 0.100000
Training Epoch: 8 [5120/48700]	Loss: 1.2506	LR: 0.100000
Training Epoch: 8 [5376/48700]	Loss: 1.3795	LR: 0.100000
Training Epoch: 8 [5632/48700]	Loss: 1.3324	LR: 0.100000
Training Epoch: 8 [5888/48700]	Loss: 1.3315	LR: 0.100000
Training Epoch: 8 [6144/48700]	Loss: 1.2525	LR: 0.100000
Training Epoch: 8 [6400/48700]	Loss: 1.2402	LR: 0.100000
Training Epoch: 8 [6656/48700]	Loss: 1.2988	LR: 0.100000
Training Epoch: 8 [6912/48700]	Loss: 1.2347	LR: 0.100000
Training Epoch: 8 [7168/48700]	Loss: 1.2393	LR: 0.100000
Training Epoch: 8 [7424/48700]	Loss: 1.2943	LR: 0.100000
Training Epoch: 8 [7680/48700]	Loss: 1.1711	LR: 0.100000
Training Epoch: 8 [7936/48700]	Loss: 1.2432	LR: 0.100000
Training Epoch: 8 [8192/48700]	Loss: 1.3169	LR: 0.100000
Training Epoch: 8 [8448/48700]	Loss: 1.2002	LR: 0.100000
Training Epoch: 8 [8704/48700]	Loss: 1.2354	LR: 0.100000
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Training Epoch: 8 [48700/48700]	Loss: 1.0641	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2748, Train Accuracy: 0.5929
Epoch 8 training time consumed: 26.92s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0053, Accuracy: 0.5917, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-8-best.pth
Training Epoch: 9 [256/48700]	Loss: 1.2759	LR: 0.100000
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Training Epoch: 9 [35840/48700]	Loss: 1.1431	LR: 0.100000
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Training Epoch: 9 [46336/48700]	Loss: 1.3056	LR: 0.100000
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Training Epoch: 9 [47104/48700]	Loss: 1.1685	LR: 0.100000
Training Epoch: 9 [47360/48700]	Loss: 1.0945	LR: 0.100000
Training Epoch: 9 [47616/48700]	Loss: 1.1729	LR: 0.100000
Training Epoch: 9 [47872/48700]	Loss: 1.2314	LR: 0.100000
Training Epoch: 9 [48128/48700]	Loss: 1.1237	LR: 0.100000
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Training Epoch: 9 [48640/48700]	Loss: 1.0934	LR: 0.100000
Training Epoch: 9 [48700/48700]	Loss: 1.2115	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2061, Train Accuracy: 0.6123
Epoch 9 training time consumed: 27.01s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0058, Accuracy: 0.5615, Time consumed:0.94s
Training Epoch: 10 [256/48700]	Loss: 1.1617	LR: 0.100000
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Training Epoch: 10 [48640/48700]	Loss: 1.2078	LR: 0.100000
Training Epoch: 10 [48700/48700]	Loss: 1.1695	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1440, Train Accuracy: 0.6334
Epoch 10 training time consumed: 26.83s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0054, Accuracy: 0.5974, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-10-best.pth
Training Epoch: 11 [256/48700]	Loss: 1.0825	LR: 0.100000
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Training Epoch: 11 [768/48700]	Loss: 1.1893	LR: 0.100000
Training Epoch: 11 [1024/48700]	Loss: 1.0854	LR: 0.100000
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Training Epoch: 11 [13312/48700]	Loss: 1.1733	LR: 0.100000
Training Epoch: 11 [13568/48700]	Loss: 1.0629	LR: 0.100000
Training Epoch: 11 [13824/48700]	Loss: 1.0099	LR: 0.100000
Training Epoch: 11 [14080/48700]	Loss: 1.1120	LR: 0.100000
Training Epoch: 11 [14336/48700]	Loss: 1.0470	LR: 0.100000
Training Epoch: 11 [14592/48700]	Loss: 1.0424	LR: 0.100000
Training Epoch: 11 [14848/48700]	Loss: 1.0522	LR: 0.100000
Training Epoch: 11 [15104/48700]	Loss: 1.0442	LR: 0.100000
Training Epoch: 11 [15360/48700]	Loss: 1.0920	LR: 0.100000
Training Epoch: 11 [15616/48700]	Loss: 1.1499	LR: 0.100000
Training Epoch: 11 [15872/48700]	Loss: 1.1123	LR: 0.100000
Training Epoch: 11 [16128/48700]	Loss: 1.2240	LR: 0.100000
Training Epoch: 11 [16384/48700]	Loss: 1.0741	LR: 0.100000
Training Epoch: 11 [16640/48700]	Loss: 1.2124	LR: 0.100000
Training Epoch: 11 [16896/48700]	Loss: 1.0085	LR: 0.100000
Training Epoch: 11 [17152/48700]	Loss: 1.1226	LR: 0.100000
Training Epoch: 11 [17408/48700]	Loss: 1.1393	LR: 0.100000
Training Epoch: 11 [17664/48700]	Loss: 1.1457	LR: 0.100000
Training Epoch: 11 [17920/48700]	Loss: 1.1641	LR: 0.100000
Training Epoch: 11 [18176/48700]	Loss: 1.0452	LR: 0.100000
Training Epoch: 11 [18432/48700]	Loss: 1.1399	LR: 0.100000
Training Epoch: 11 [18688/48700]	Loss: 1.0478	LR: 0.100000
Training Epoch: 11 [18944/48700]	Loss: 1.1318	LR: 0.100000
Training Epoch: 11 [19200/48700]	Loss: 1.0502	LR: 0.100000
Training Epoch: 11 [19456/48700]	Loss: 1.1148	LR: 0.100000
Training Epoch: 11 [19712/48700]	Loss: 1.1402	LR: 0.100000
Training Epoch: 11 [19968/48700]	Loss: 1.2512	LR: 0.100000
Training Epoch: 11 [20224/48700]	Loss: 1.1457	LR: 0.100000
Training Epoch: 11 [20480/48700]	Loss: 1.1937	LR: 0.100000
Training Epoch: 11 [20736/48700]	Loss: 1.1853	LR: 0.100000
Training Epoch: 11 [20992/48700]	Loss: 1.0271	LR: 0.100000
Training Epoch: 11 [21248/48700]	Loss: 1.1817	LR: 0.100000
Training Epoch: 11 [21504/48700]	Loss: 1.0595	LR: 0.100000
Training Epoch: 11 [21760/48700]	Loss: 1.1677	LR: 0.100000
Training Epoch: 11 [22016/48700]	Loss: 1.2086	LR: 0.100000
Training Epoch: 11 [22272/48700]	Loss: 1.3426	LR: 0.100000
Training Epoch: 11 [22528/48700]	Loss: 1.0891	LR: 0.100000
Training Epoch: 11 [22784/48700]	Loss: 0.9500	LR: 0.100000
Training Epoch: 11 [23040/48700]	Loss: 0.9900	LR: 0.100000
Training Epoch: 11 [23296/48700]	Loss: 1.0460	LR: 0.100000
Training Epoch: 11 [23552/48700]	Loss: 1.0589	LR: 0.100000
Training Epoch: 11 [23808/48700]	Loss: 0.9766	LR: 0.100000
Training Epoch: 11 [24064/48700]	Loss: 1.1571	LR: 0.100000
Training Epoch: 11 [24320/48700]	Loss: 1.0283	LR: 0.100000
Training Epoch: 11 [24576/48700]	Loss: 1.0397	LR: 0.100000
Training Epoch: 11 [24832/48700]	Loss: 1.0696	LR: 0.100000
Training Epoch: 11 [25088/48700]	Loss: 1.1838	LR: 0.100000
Training Epoch: 11 [25344/48700]	Loss: 1.0922	LR: 0.100000
Training Epoch: 11 [25600/48700]	Loss: 1.1149	LR: 0.100000
Training Epoch: 11 [25856/48700]	Loss: 1.1244	LR: 0.100000
Training Epoch: 11 [26112/48700]	Loss: 1.1435	LR: 0.100000
Training Epoch: 11 [26368/48700]	Loss: 1.1408	LR: 0.100000
Training Epoch: 11 [26624/48700]	Loss: 1.2347	LR: 0.100000
Training Epoch: 11 [26880/48700]	Loss: 1.0079	LR: 0.100000
Training Epoch: 11 [27136/48700]	Loss: 0.9712	LR: 0.100000
Training Epoch: 11 [27392/48700]	Loss: 1.0997	LR: 0.100000
Training Epoch: 11 [27648/48700]	Loss: 1.1171	LR: 0.100000
Training Epoch: 11 [27904/48700]	Loss: 1.1970	LR: 0.100000
Training Epoch: 11 [28160/48700]	Loss: 0.9846	LR: 0.100000
Training Epoch: 11 [28416/48700]	Loss: 0.9882	LR: 0.100000
Training Epoch: 11 [28672/48700]	Loss: 1.2241	LR: 0.100000
Training Epoch: 11 [28928/48700]	Loss: 1.1344	LR: 0.100000
Training Epoch: 11 [29184/48700]	Loss: 1.3006	LR: 0.100000
Training Epoch: 11 [29440/48700]	Loss: 1.0596	LR: 0.100000
Training Epoch: 11 [29696/48700]	Loss: 1.2138	LR: 0.100000
Training Epoch: 11 [29952/48700]	Loss: 1.1215	LR: 0.100000
Training Epoch: 11 [30208/48700]	Loss: 1.0652	LR: 0.100000
Training Epoch: 11 [30464/48700]	Loss: 1.2198	LR: 0.100000
Training Epoch: 11 [30720/48700]	Loss: 1.0265	LR: 0.100000
Training Epoch: 11 [30976/48700]	Loss: 0.9653	LR: 0.100000
Training Epoch: 11 [31232/48700]	Loss: 1.1420	LR: 0.100000
Training Epoch: 11 [31488/48700]	Loss: 1.1090	LR: 0.100000
Training Epoch: 11 [31744/48700]	Loss: 1.0372	LR: 0.100000
Training Epoch: 11 [32000/48700]	Loss: 1.0942	LR: 0.100000
Training Epoch: 11 [32256/48700]	Loss: 1.0335	LR: 0.100000
Training Epoch: 11 [32512/48700]	Loss: 1.0975	LR: 0.100000
Training Epoch: 11 [32768/48700]	Loss: 1.0578	LR: 0.100000
Training Epoch: 11 [33024/48700]	Loss: 1.0035	LR: 0.100000
Training Epoch: 11 [33280/48700]	Loss: 1.2800	LR: 0.100000
Training Epoch: 11 [33536/48700]	Loss: 0.9999	LR: 0.100000
Training Epoch: 11 [33792/48700]	Loss: 1.1408	LR: 0.100000
Training Epoch: 11 [34048/48700]	Loss: 1.2053	LR: 0.100000
Training Epoch: 11 [34304/48700]	Loss: 1.1641	LR: 0.100000
Training Epoch: 11 [34560/48700]	Loss: 1.1783	LR: 0.100000
Training Epoch: 11 [34816/48700]	Loss: 1.1787	LR: 0.100000
Training Epoch: 11 [35072/48700]	Loss: 1.2698	LR: 0.100000
Training Epoch: 11 [35328/48700]	Loss: 1.0524	LR: 0.100000
Training Epoch: 11 [35584/48700]	Loss: 1.1550	LR: 0.100000
Training Epoch: 11 [35840/48700]	Loss: 1.0648	LR: 0.100000
Training Epoch: 11 [36096/48700]	Loss: 1.0766	LR: 0.100000
Training Epoch: 11 [36352/48700]	Loss: 1.0108	LR: 0.100000
Training Epoch: 11 [36608/48700]	Loss: 1.0761	LR: 0.100000
Training Epoch: 11 [36864/48700]	Loss: 1.0887	LR: 0.100000
Training Epoch: 11 [37120/48700]	Loss: 1.1745	LR: 0.100000
Training Epoch: 11 [37376/48700]	Loss: 1.0935	LR: 0.100000
Training Epoch: 11 [37632/48700]	Loss: 1.0494	LR: 0.100000
Training Epoch: 11 [37888/48700]	Loss: 1.1657	LR: 0.100000
Training Epoch: 11 [38144/48700]	Loss: 1.1351	LR: 0.100000
Training Epoch: 11 [38400/48700]	Loss: 1.1280	LR: 0.100000
Training Epoch: 11 [38656/48700]	Loss: 1.0778	LR: 0.100000
Training Epoch: 11 [38912/48700]	Loss: 1.1178	LR: 0.100000
Training Epoch: 11 [39168/48700]	Loss: 1.1482	LR: 0.100000
Training Epoch: 11 [39424/48700]	Loss: 1.0556	LR: 0.100000
Training Epoch: 11 [39680/48700]	Loss: 1.1334	LR: 0.100000
Training Epoch: 11 [39936/48700]	Loss: 1.0762	LR: 0.100000
Training Epoch: 11 [40192/48700]	Loss: 0.9630	LR: 0.100000
Training Epoch: 11 [40448/48700]	Loss: 1.1286	LR: 0.100000
Training Epoch: 11 [40704/48700]	Loss: 1.0247	LR: 0.100000
Training Epoch: 11 [40960/48700]	Loss: 1.1241	LR: 0.100000
Training Epoch: 11 [41216/48700]	Loss: 1.0603	LR: 0.100000
Training Epoch: 11 [41472/48700]	Loss: 0.9448	LR: 0.100000
Training Epoch: 11 [41728/48700]	Loss: 1.0105	LR: 0.100000
Training Epoch: 11 [41984/48700]	Loss: 1.1410	LR: 0.100000
Training Epoch: 11 [42240/48700]	Loss: 1.0678	LR: 0.100000
Training Epoch: 11 [42496/48700]	Loss: 1.0280	LR: 0.100000
Training Epoch: 11 [42752/48700]	Loss: 1.0517	LR: 0.100000
Training Epoch: 11 [43008/48700]	Loss: 1.1062	LR: 0.100000
Training Epoch: 11 [43264/48700]	Loss: 1.1686	LR: 0.100000
Training Epoch: 11 [43520/48700]	Loss: 0.9761	LR: 0.100000
Training Epoch: 11 [43776/48700]	Loss: 1.0647	LR: 0.100000
Training Epoch: 11 [44032/48700]	Loss: 1.2193	LR: 0.100000
Training Epoch: 11 [44288/48700]	Loss: 1.1795	LR: 0.100000
Training Epoch: 11 [44544/48700]	Loss: 1.2484	LR: 0.100000
Training Epoch: 11 [44800/48700]	Loss: 1.0299	LR: 0.100000
Training Epoch: 11 [45056/48700]	Loss: 1.0958	LR: 0.100000
Training Epoch: 11 [45312/48700]	Loss: 1.0193	LR: 0.100000
Training Epoch: 11 [45568/48700]	Loss: 1.0606	LR: 0.100000
Training Epoch: 11 [45824/48700]	Loss: 1.1214	LR: 0.100000
Training Epoch: 11 [46080/48700]	Loss: 1.0446	LR: 0.100000
Training Epoch: 11 [46336/48700]	Loss: 1.0071	LR: 0.100000
Training Epoch: 11 [46592/48700]	Loss: 1.2040	LR: 0.100000
Training Epoch: 11 [46848/48700]	Loss: 1.0618	LR: 0.100000
Training Epoch: 11 [47104/48700]	Loss: 1.0717	LR: 0.100000
Training Epoch: 11 [47360/48700]	Loss: 0.9698	LR: 0.100000
Training Epoch: 11 [47616/48700]	Loss: 1.1565	LR: 0.100000
Training Epoch: 11 [47872/48700]	Loss: 0.9648	LR: 0.100000
Training Epoch: 11 [48128/48700]	Loss: 1.1509	LR: 0.100000
Training Epoch: 11 [48384/48700]	Loss: 0.9490	LR: 0.100000
Training Epoch: 11 [48640/48700]	Loss: 1.0473	LR: 0.100000
Training Epoch: 11 [48700/48700]	Loss: 0.9523	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1032, Train Accuracy: 0.6487
Epoch 11 training time consumed: 26.87s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0052, Accuracy: 0.5906, Time consumed:0.90s
Training Epoch: 12 [256/48700]	Loss: 0.9621	LR: 0.100000
Training Epoch: 12 [512/48700]	Loss: 1.0031	LR: 0.100000
Training Epoch: 12 [768/48700]	Loss: 1.1290	LR: 0.100000
Training Epoch: 12 [1024/48700]	Loss: 1.0882	LR: 0.100000
Training Epoch: 12 [1280/48700]	Loss: 1.1218	LR: 0.100000
Training Epoch: 12 [1536/48700]	Loss: 1.0701	LR: 0.100000
Training Epoch: 12 [1792/48700]	Loss: 0.9783	LR: 0.100000
Training Epoch: 12 [2048/48700]	Loss: 1.0495	LR: 0.100000
Training Epoch: 12 [2304/48700]	Loss: 1.1001	LR: 0.100000
Training Epoch: 12 [2560/48700]	Loss: 1.1085	LR: 0.100000
Training Epoch: 12 [2816/48700]	Loss: 1.1368	LR: 0.100000
Training Epoch: 12 [3072/48700]	Loss: 1.0248	LR: 0.100000
Training Epoch: 12 [3328/48700]	Loss: 1.0114	LR: 0.100000
Training Epoch: 12 [3584/48700]	Loss: 1.1185	LR: 0.100000
Training Epoch: 12 [3840/48700]	Loss: 1.1480	LR: 0.100000
Training Epoch: 12 [4096/48700]	Loss: 0.9722	LR: 0.100000
Training Epoch: 12 [4352/48700]	Loss: 1.0701	LR: 0.100000
Training Epoch: 12 [4608/48700]	Loss: 1.0396	LR: 0.100000
Training Epoch: 12 [4864/48700]	Loss: 0.9982	LR: 0.100000
Training Epoch: 12 [5120/48700]	Loss: 1.0302	LR: 0.100000
Training Epoch: 12 [5376/48700]	Loss: 1.1707	LR: 0.100000
Training Epoch: 12 [5632/48700]	Loss: 1.0017	LR: 0.100000
Training Epoch: 12 [5888/48700]	Loss: 1.0062	LR: 0.100000
Training Epoch: 12 [6144/48700]	Loss: 0.8989	LR: 0.100000
Training Epoch: 12 [6400/48700]	Loss: 1.1828	LR: 0.100000
Training Epoch: 12 [6656/48700]	Loss: 0.9964	LR: 0.100000
Training Epoch: 12 [6912/48700]	Loss: 1.1094	LR: 0.100000
Training Epoch: 12 [7168/48700]	Loss: 1.0882	LR: 0.100000
Training Epoch: 12 [7424/48700]	Loss: 1.0137	LR: 0.100000
Training Epoch: 12 [7680/48700]	Loss: 1.0507	LR: 0.100000
Training Epoch: 12 [7936/48700]	Loss: 0.9449	LR: 0.100000
Training Epoch: 12 [8192/48700]	Loss: 1.0428	LR: 0.100000
Training Epoch: 12 [8448/48700]	Loss: 1.0567	LR: 0.100000
Training Epoch: 12 [8704/48700]	Loss: 1.0702	LR: 0.100000
Training Epoch: 12 [8960/48700]	Loss: 1.0873	LR: 0.100000
Training Epoch: 12 [9216/48700]	Loss: 1.0005	LR: 0.100000
Training Epoch: 12 [9472/48700]	Loss: 0.9926	LR: 0.100000
Training Epoch: 12 [9728/48700]	Loss: 1.1255	LR: 0.100000
Training Epoch: 12 [9984/48700]	Loss: 1.1159	LR: 0.100000
Training Epoch: 12 [10240/48700]	Loss: 0.9812	LR: 0.100000
Training Epoch: 12 [10496/48700]	Loss: 1.0812	LR: 0.100000
Training Epoch: 12 [10752/48700]	Loss: 1.2019	LR: 0.100000
Training Epoch: 12 [11008/48700]	Loss: 1.1867	LR: 0.100000
Training Epoch: 12 [11264/48700]	Loss: 1.0640	LR: 0.100000
Training Epoch: 12 [11520/48700]	Loss: 1.1047	LR: 0.100000
Training Epoch: 12 [11776/48700]	Loss: 1.1021	LR: 0.100000
Training Epoch: 12 [12032/48700]	Loss: 1.1306	LR: 0.100000
Training Epoch: 12 [12288/48700]	Loss: 1.0141	LR: 0.100000
Training Epoch: 12 [12544/48700]	Loss: 1.0692	LR: 0.100000
Training Epoch: 12 [12800/48700]	Loss: 1.0967	LR: 0.100000
Training Epoch: 12 [13056/48700]	Loss: 0.9778	LR: 0.100000
Training Epoch: 12 [13312/48700]	Loss: 1.1794	LR: 0.100000
Training Epoch: 12 [13568/48700]	Loss: 1.1053	LR: 0.100000
Training Epoch: 12 [13824/48700]	Loss: 1.0154	LR: 0.100000
Training Epoch: 12 [14080/48700]	Loss: 0.9417	LR: 0.100000
Training Epoch: 12 [14336/48700]	Loss: 1.0963	LR: 0.100000
Training Epoch: 12 [14592/48700]	Loss: 1.0239	LR: 0.100000
Training Epoch: 12 [14848/48700]	Loss: 0.9740	LR: 0.100000
Training Epoch: 12 [15104/48700]	Loss: 1.1300	LR: 0.100000
Training Epoch: 12 [15360/48700]	Loss: 1.0526	LR: 0.100000
Training Epoch: 12 [15616/48700]	Loss: 1.1240	LR: 0.100000
Training Epoch: 12 [15872/48700]	Loss: 0.9615	LR: 0.100000
Training Epoch: 12 [16128/48700]	Loss: 1.0640	LR: 0.100000
Training Epoch: 12 [16384/48700]	Loss: 1.0343	LR: 0.100000
Training Epoch: 12 [16640/48700]	Loss: 1.0238	LR: 0.100000
Training Epoch: 12 [16896/48700]	Loss: 1.0796	LR: 0.100000
Training Epoch: 12 [17152/48700]	Loss: 0.9991	LR: 0.100000
Training Epoch: 12 [17408/48700]	Loss: 1.0848	LR: 0.100000
Training Epoch: 12 [17664/48700]	Loss: 1.0530	LR: 0.100000
Training Epoch: 12 [17920/48700]	Loss: 1.0339	LR: 0.100000
Training Epoch: 12 [18176/48700]	Loss: 1.1064	LR: 0.100000
Training Epoch: 12 [18432/48700]	Loss: 1.0954	LR: 0.100000
Training Epoch: 12 [18688/48700]	Loss: 1.0052	LR: 0.100000
Training Epoch: 12 [18944/48700]	Loss: 0.8493	LR: 0.100000
Training Epoch: 12 [19200/48700]	Loss: 1.0647	LR: 0.100000
Training Epoch: 12 [19456/48700]	Loss: 1.1187	LR: 0.100000
Training Epoch: 12 [19712/48700]	Loss: 1.1620	LR: 0.100000
Training Epoch: 12 [19968/48700]	Loss: 1.0247	LR: 0.100000
Training Epoch: 12 [20224/48700]	Loss: 1.0986	LR: 0.100000
Training Epoch: 12 [20480/48700]	Loss: 1.1178	LR: 0.100000
Training Epoch: 12 [20736/48700]	Loss: 1.1087	LR: 0.100000
Training Epoch: 12 [20992/48700]	Loss: 1.0905	LR: 0.100000
Training Epoch: 12 [21248/48700]	Loss: 1.1457	LR: 0.100000
Training Epoch: 12 [21504/48700]	Loss: 1.1160	LR: 0.100000
Training Epoch: 12 [21760/48700]	Loss: 1.1951	LR: 0.100000
Training Epoch: 12 [22016/48700]	Loss: 0.9042	LR: 0.100000
Training Epoch: 12 [22272/48700]	Loss: 1.0730	LR: 0.100000
Training Epoch: 12 [22528/48700]	Loss: 1.1989	LR: 0.100000
Training Epoch: 12 [22784/48700]	Loss: 1.1978	LR: 0.100000
Training Epoch: 12 [23040/48700]	Loss: 0.9047	LR: 0.100000
Training Epoch: 12 [23296/48700]	Loss: 1.1506	LR: 0.100000
Training Epoch: 12 [23552/48700]	Loss: 0.9656	LR: 0.100000
Training Epoch: 12 [23808/48700]	Loss: 1.0854	LR: 0.100000
Training Epoch: 12 [24064/48700]	Loss: 1.0205	LR: 0.100000
Training Epoch: 12 [24320/48700]	Loss: 1.0227	LR: 0.100000
Training Epoch: 12 [24576/48700]	Loss: 1.0491	LR: 0.100000
Training Epoch: 12 [24832/48700]	Loss: 1.0952	LR: 0.100000
Training Epoch: 12 [25088/48700]	Loss: 1.0194	LR: 0.100000
Training Epoch: 12 [25344/48700]	Loss: 1.1480	LR: 0.100000
Training Epoch: 12 [25600/48700]	Loss: 1.0725	LR: 0.100000
Training Epoch: 12 [25856/48700]	Loss: 0.9307	LR: 0.100000
Training Epoch: 12 [26112/48700]	Loss: 0.9661	LR: 0.100000
Training Epoch: 12 [26368/48700]	Loss: 1.0390	LR: 0.100000
Training Epoch: 12 [26624/48700]	Loss: 1.0932	LR: 0.100000
Training Epoch: 12 [26880/48700]	Loss: 1.1808	LR: 0.100000
Training Epoch: 12 [27136/48700]	Loss: 1.1177	LR: 0.100000
Training Epoch: 12 [27392/48700]	Loss: 1.0469	LR: 0.100000
Training Epoch: 12 [27648/48700]	Loss: 1.0674	LR: 0.100000
Training Epoch: 12 [27904/48700]	Loss: 1.2103	LR: 0.100000
Training Epoch: 12 [28160/48700]	Loss: 1.0682	LR: 0.100000
Training Epoch: 12 [28416/48700]	Loss: 1.0420	LR: 0.100000
Training Epoch: 12 [28672/48700]	Loss: 1.1465	LR: 0.100000
Training Epoch: 12 [28928/48700]	Loss: 1.0056	LR: 0.100000
Training Epoch: 12 [29184/48700]	Loss: 1.0325	LR: 0.100000
Training Epoch: 12 [29440/48700]	Loss: 1.0522	LR: 0.100000
Training Epoch: 12 [29696/48700]	Loss: 1.0263	LR: 0.100000
Training Epoch: 12 [29952/48700]	Loss: 1.1343	LR: 0.100000
Training Epoch: 12 [30208/48700]	Loss: 1.1531	LR: 0.100000
Training Epoch: 12 [30464/48700]	Loss: 0.9815	LR: 0.100000
Training Epoch: 12 [30720/48700]	Loss: 0.9975	LR: 0.100000
Training Epoch: 12 [30976/48700]	Loss: 1.0041	LR: 0.100000
Training Epoch: 12 [31232/48700]	Loss: 0.9967	LR: 0.100000
Training Epoch: 12 [31488/48700]	Loss: 1.2546	LR: 0.100000
Training Epoch: 12 [31744/48700]	Loss: 1.0576	LR: 0.100000
Training Epoch: 12 [32000/48700]	Loss: 1.0681	LR: 0.100000
Training Epoch: 12 [32256/48700]	Loss: 1.2834	LR: 0.100000
Training Epoch: 12 [32512/48700]	Loss: 1.1080	LR: 0.100000
Training Epoch: 12 [32768/48700]	Loss: 1.0019	LR: 0.100000
Training Epoch: 12 [33024/48700]	Loss: 1.1019	LR: 0.100000
Training Epoch: 12 [33280/48700]	Loss: 1.1419	LR: 0.100000
Training Epoch: 12 [33536/48700]	Loss: 1.0095	LR: 0.100000
Training Epoch: 12 [33792/48700]	Loss: 1.2020	LR: 0.100000
Training Epoch: 12 [34048/48700]	Loss: 1.0862	LR: 0.100000
Training Epoch: 12 [34304/48700]	Loss: 1.0825	LR: 0.100000
Training Epoch: 12 [34560/48700]	Loss: 1.0632	LR: 0.100000
Training Epoch: 12 [34816/48700]	Loss: 1.0017	LR: 0.100000
Training Epoch: 12 [35072/48700]	Loss: 0.9338	LR: 0.100000
Training Epoch: 12 [35328/48700]	Loss: 1.0218	LR: 0.100000
Training Epoch: 12 [35584/48700]	Loss: 1.1364	LR: 0.100000
Training Epoch: 12 [35840/48700]	Loss: 1.0566	LR: 0.100000
Training Epoch: 12 [36096/48700]	Loss: 0.9454	LR: 0.100000
Training Epoch: 12 [36352/48700]	Loss: 1.0152	LR: 0.100000
Training Epoch: 12 [36608/48700]	Loss: 1.1063	LR: 0.100000
Training Epoch: 12 [36864/48700]	Loss: 1.0513	LR: 0.100000
Training Epoch: 12 [37120/48700]	Loss: 0.9683	LR: 0.100000
Training Epoch: 12 [37376/48700]	Loss: 1.0079	LR: 0.100000
Training Epoch: 12 [37632/48700]	Loss: 1.1541	LR: 0.100000
Training Epoch: 12 [37888/48700]	Loss: 1.0771	LR: 0.100000
Training Epoch: 12 [38144/48700]	Loss: 1.0755	LR: 0.100000
Training Epoch: 12 [38400/48700]	Loss: 1.2793	LR: 0.100000
Training Epoch: 12 [38656/48700]	Loss: 1.0455	LR: 0.100000
Training Epoch: 12 [38912/48700]	Loss: 1.0056	LR: 0.100000
Training Epoch: 12 [39168/48700]	Loss: 1.0377	LR: 0.100000
Training Epoch: 12 [39424/48700]	Loss: 1.0459	LR: 0.100000
Training Epoch: 12 [39680/48700]	Loss: 0.9757	LR: 0.100000
Training Epoch: 12 [39936/48700]	Loss: 1.0519	LR: 0.100000
Training Epoch: 12 [40192/48700]	Loss: 1.0705	LR: 0.100000
Training Epoch: 12 [40448/48700]	Loss: 1.0089	LR: 0.100000
Training Epoch: 12 [40704/48700]	Loss: 1.0389	LR: 0.100000
Training Epoch: 12 [40960/48700]	Loss: 0.9380	LR: 0.100000
Training Epoch: 12 [41216/48700]	Loss: 1.1250	LR: 0.100000
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Training Epoch: 12 [46336/48700]	Loss: 0.9913	LR: 0.100000
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Training Epoch: 12 [46848/48700]	Loss: 0.9856	LR: 0.100000
Training Epoch: 12 [47104/48700]	Loss: 1.0942	LR: 0.100000
Training Epoch: 12 [47360/48700]	Loss: 0.9994	LR: 0.100000
Training Epoch: 12 [47616/48700]	Loss: 1.1294	LR: 0.100000
Training Epoch: 12 [47872/48700]	Loss: 1.1468	LR: 0.100000
Training Epoch: 12 [48128/48700]	Loss: 1.1713	LR: 0.100000
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Training Epoch: 12 [48640/48700]	Loss: 1.0031	LR: 0.100000
Training Epoch: 12 [48700/48700]	Loss: 1.1847	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0641, Train Accuracy: 0.6600
Epoch 12 training time consumed: 27.13s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0064, Accuracy: 0.5556, Time consumed:0.93s
Training Epoch: 13 [256/48700]	Loss: 1.0112	LR: 0.100000
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Training Epoch: 13 [48700/48700]	Loss: 1.0305	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0358, Train Accuracy: 0.6689
Epoch 13 training time consumed: 26.92s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0053, Accuracy: 0.6073, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-13-best.pth
Training Epoch: 14 [256/48700]	Loss: 0.9032	LR: 0.100000
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Training Epoch: 14 [48700/48700]	Loss: 1.2520	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0018, Train Accuracy: 0.6782
Epoch 14 training time consumed: 27.01s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0050, Accuracy: 0.6112, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-14-best.pth
Training Epoch: 15 [256/48700]	Loss: 1.0724	LR: 0.020000
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Training Epoch: 15 [43776/48700]	Loss: 0.8903	LR: 0.020000
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Training Epoch: 15 [46336/48700]	Loss: 0.7464	LR: 0.020000
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Training Epoch: 15 [46848/48700]	Loss: 0.6524	LR: 0.020000
Training Epoch: 15 [47104/48700]	Loss: 0.8217	LR: 0.020000
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Training Epoch: 15 [47616/48700]	Loss: 0.6487	LR: 0.020000
Training Epoch: 15 [47872/48700]	Loss: 0.7362	LR: 0.020000
Training Epoch: 15 [48128/48700]	Loss: 0.6934	LR: 0.020000
Training Epoch: 15 [48384/48700]	Loss: 0.6654	LR: 0.020000
Training Epoch: 15 [48640/48700]	Loss: 0.7444	LR: 0.020000
Training Epoch: 15 [48700/48700]	Loss: 0.5556	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7745, Train Accuracy: 0.7538
Epoch 15 training time consumed: 27.00s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0033, Accuracy: 0.7324, Time consumed:1.01s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-15-best.pth
Training Epoch: 16 [256/48700]	Loss: 0.7335	LR: 0.020000
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Training Epoch: 16 [47616/48700]	Loss: 0.7519	LR: 0.020000
Training Epoch: 16 [47872/48700]	Loss: 0.6759	LR: 0.020000
Training Epoch: 16 [48128/48700]	Loss: 0.6615	LR: 0.020000
Training Epoch: 16 [48384/48700]	Loss: 0.6211	LR: 0.020000
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Training Epoch: 16 [48700/48700]	Loss: 0.7014	LR: 0.020000
Epoch 16 - Average Train Loss: 0.6976, Train Accuracy: 0.7778
Epoch 16 training time consumed: 26.78s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7411, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-16-best.pth
Training Epoch: 17 [256/48700]	Loss: 0.7176	LR: 0.020000
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Training Epoch: 17 [48700/48700]	Loss: 0.6583	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6685, Train Accuracy: 0.7848
Epoch 17 training time consumed: 26.96s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0032, Accuracy: 0.7453, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-17-best.pth
Training Epoch: 18 [256/48700]	Loss: 0.6759	LR: 0.020000
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Training Epoch: 18 [42240/48700]	Loss: 0.7081	LR: 0.020000
Training Epoch: 18 [42496/48700]	Loss: 0.7085	LR: 0.020000
Training Epoch: 18 [42752/48700]	Loss: 0.6726	LR: 0.020000
Training Epoch: 18 [43008/48700]	Loss: 0.6522	LR: 0.020000
Training Epoch: 18 [43264/48700]	Loss: 0.6951	LR: 0.020000
Training Epoch: 18 [43520/48700]	Loss: 0.7509	LR: 0.020000
Training Epoch: 18 [43776/48700]	Loss: 0.6018	LR: 0.020000
Training Epoch: 18 [44032/48700]	Loss: 0.6090	LR: 0.020000
Training Epoch: 18 [44288/48700]	Loss: 0.5353	LR: 0.020000
Training Epoch: 18 [44544/48700]	Loss: 0.6133	LR: 0.020000
Training Epoch: 18 [44800/48700]	Loss: 0.6193	LR: 0.020000
Training Epoch: 18 [45056/48700]	Loss: 0.6586	LR: 0.020000
Training Epoch: 18 [45312/48700]	Loss: 0.6334	LR: 0.020000
Training Epoch: 18 [45568/48700]	Loss: 0.7496	LR: 0.020000
Training Epoch: 18 [45824/48700]	Loss: 0.6923	LR: 0.020000
Training Epoch: 18 [46080/48700]	Loss: 0.7147	LR: 0.020000
Training Epoch: 18 [46336/48700]	Loss: 0.6390	LR: 0.020000
Training Epoch: 18 [46592/48700]	Loss: 0.6179	LR: 0.020000
Training Epoch: 18 [46848/48700]	Loss: 0.6218	LR: 0.020000
Training Epoch: 18 [47104/48700]	Loss: 0.6062	LR: 0.020000
Training Epoch: 18 [47360/48700]	Loss: 0.6948	LR: 0.020000
Training Epoch: 18 [47616/48700]	Loss: 0.7026	LR: 0.020000
Training Epoch: 18 [47872/48700]	Loss: 0.8523	LR: 0.020000
Training Epoch: 18 [48128/48700]	Loss: 0.7535	LR: 0.020000
Training Epoch: 18 [48384/48700]	Loss: 0.5603	LR: 0.020000
Training Epoch: 18 [48640/48700]	Loss: 0.5418	LR: 0.020000
Training Epoch: 18 [48700/48700]	Loss: 0.6822	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6496, Train Accuracy: 0.7909
Epoch 18 training time consumed: 27.35s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0033, Accuracy: 0.7418, Time consumed:0.91s
Training Epoch: 19 [256/48700]	Loss: 0.7323	LR: 0.020000
Training Epoch: 19 [512/48700]	Loss: 0.5346	LR: 0.020000
Training Epoch: 19 [768/48700]	Loss: 0.7199	LR: 0.020000
Training Epoch: 19 [1024/48700]	Loss: 0.6298	LR: 0.020000
Training Epoch: 19 [1280/48700]	Loss: 0.5333	LR: 0.020000
Training Epoch: 19 [1536/48700]	Loss: 0.5868	LR: 0.020000
Training Epoch: 19 [1792/48700]	Loss: 0.6507	LR: 0.020000
Training Epoch: 19 [2048/48700]	Loss: 0.5806	LR: 0.020000
Training Epoch: 19 [2304/48700]	Loss: 0.5810	LR: 0.020000
Training Epoch: 19 [2560/48700]	Loss: 0.6165	LR: 0.020000
Training Epoch: 19 [2816/48700]	Loss: 0.6522	LR: 0.020000
Training Epoch: 19 [3072/48700]	Loss: 0.6936	LR: 0.020000
Training Epoch: 19 [3328/48700]	Loss: 0.6789	LR: 0.020000
Training Epoch: 19 [3584/48700]	Loss: 0.6313	LR: 0.020000
Training Epoch: 19 [3840/48700]	Loss: 0.5743	LR: 0.020000
Training Epoch: 19 [4096/48700]	Loss: 0.6217	LR: 0.020000
Training Epoch: 19 [4352/48700]	Loss: 0.5319	LR: 0.020000
Training Epoch: 19 [4608/48700]	Loss: 0.6827	LR: 0.020000
Training Epoch: 19 [4864/48700]	Loss: 0.6223	LR: 0.020000
Training Epoch: 19 [5120/48700]	Loss: 0.5079	LR: 0.020000
Training Epoch: 19 [5376/48700]	Loss: 0.8063	LR: 0.020000
Training Epoch: 19 [5632/48700]	Loss: 0.6518	LR: 0.020000
Training Epoch: 19 [5888/48700]	Loss: 0.6374	LR: 0.020000
Training Epoch: 19 [6144/48700]	Loss: 0.5332	LR: 0.020000
Training Epoch: 19 [6400/48700]	Loss: 0.6404	LR: 0.020000
Training Epoch: 19 [6656/48700]	Loss: 0.6269	LR: 0.020000
Training Epoch: 19 [6912/48700]	Loss: 0.5844	LR: 0.020000
Training Epoch: 19 [7168/48700]	Loss: 0.5904	LR: 0.020000
Training Epoch: 19 [7424/48700]	Loss: 0.6284	LR: 0.020000
Training Epoch: 19 [7680/48700]	Loss: 0.6550	LR: 0.020000
Training Epoch: 19 [7936/48700]	Loss: 0.5313	LR: 0.020000
Training Epoch: 19 [8192/48700]	Loss: 0.5932	LR: 0.020000
Training Epoch: 19 [8448/48700]	Loss: 0.7232	LR: 0.020000
Training Epoch: 19 [8704/48700]	Loss: 0.6560	LR: 0.020000
Training Epoch: 19 [8960/48700]	Loss: 0.5732	LR: 0.020000
Training Epoch: 19 [9216/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 19 [9472/48700]	Loss: 0.6852	LR: 0.020000
Training Epoch: 19 [9728/48700]	Loss: 0.6462	LR: 0.020000
Training Epoch: 19 [9984/48700]	Loss: 0.5624	LR: 0.020000
Training Epoch: 19 [10240/48700]	Loss: 0.6406	LR: 0.020000
Training Epoch: 19 [10496/48700]	Loss: 0.6365	LR: 0.020000
Training Epoch: 19 [10752/48700]	Loss: 0.6677	LR: 0.020000
Training Epoch: 19 [11008/48700]	Loss: 0.4663	LR: 0.020000
Training Epoch: 19 [11264/48700]	Loss: 0.5737	LR: 0.020000
Training Epoch: 19 [11520/48700]	Loss: 0.6171	LR: 0.020000
Training Epoch: 19 [11776/48700]	Loss: 0.5691	LR: 0.020000
Training Epoch: 19 [12032/48700]	Loss: 0.6594	LR: 0.020000
Training Epoch: 19 [12288/48700]	Loss: 0.6041	LR: 0.020000
Training Epoch: 19 [12544/48700]	Loss: 0.6636	LR: 0.020000
Training Epoch: 19 [12800/48700]	Loss: 0.6323	LR: 0.020000
Training Epoch: 19 [13056/48700]	Loss: 0.6619	LR: 0.020000
Training Epoch: 19 [13312/48700]	Loss: 0.7191	LR: 0.020000
Training Epoch: 19 [13568/48700]	Loss: 0.5660	LR: 0.020000
Training Epoch: 19 [13824/48700]	Loss: 0.5258	LR: 0.020000
Training Epoch: 19 [14080/48700]	Loss: 0.5963	LR: 0.020000
Training Epoch: 19 [14336/48700]	Loss: 0.6651	LR: 0.020000
Training Epoch: 19 [14592/48700]	Loss: 0.6742	LR: 0.020000
Training Epoch: 19 [14848/48700]	Loss: 0.7130	LR: 0.020000
Training Epoch: 19 [15104/48700]	Loss: 0.6321	LR: 0.020000
Training Epoch: 19 [15360/48700]	Loss: 0.6275	LR: 0.020000
Training Epoch: 19 [15616/48700]	Loss: 0.5561	LR: 0.020000
Training Epoch: 19 [15872/48700]	Loss: 0.5797	LR: 0.020000
Training Epoch: 19 [16128/48700]	Loss: 0.6982	LR: 0.020000
Training Epoch: 19 [16384/48700]	Loss: 0.6179	LR: 0.020000
Training Epoch: 19 [16640/48700]	Loss: 0.6480	LR: 0.020000
Training Epoch: 19 [16896/48700]	Loss: 0.6841	LR: 0.020000
Training Epoch: 19 [17152/48700]	Loss: 0.5615	LR: 0.020000
Training Epoch: 19 [17408/48700]	Loss: 0.6260	LR: 0.020000
Training Epoch: 19 [17664/48700]	Loss: 0.6132	LR: 0.020000
Training Epoch: 19 [17920/48700]	Loss: 0.6426	LR: 0.020000
Training Epoch: 19 [18176/48700]	Loss: 0.5795	LR: 0.020000
Training Epoch: 19 [18432/48700]	Loss: 0.6135	LR: 0.020000
Training Epoch: 19 [18688/48700]	Loss: 0.6040	LR: 0.020000
Training Epoch: 19 [18944/48700]	Loss: 0.5645	LR: 0.020000
Training Epoch: 19 [19200/48700]	Loss: 0.5893	LR: 0.020000
Training Epoch: 19 [19456/48700]	Loss: 0.6179	LR: 0.020000
Training Epoch: 19 [19712/48700]	Loss: 0.6310	LR: 0.020000
Training Epoch: 19 [19968/48700]	Loss: 0.7153	LR: 0.020000
Training Epoch: 19 [20224/48700]	Loss: 0.4983	LR: 0.020000
Training Epoch: 19 [20480/48700]	Loss: 0.6162	LR: 0.020000
Training Epoch: 19 [20736/48700]	Loss: 0.6603	LR: 0.020000
Training Epoch: 19 [20992/48700]	Loss: 0.6297	LR: 0.020000
Training Epoch: 19 [21248/48700]	Loss: 0.6905	LR: 0.020000
Training Epoch: 19 [21504/48700]	Loss: 0.7884	LR: 0.020000
Training Epoch: 19 [21760/48700]	Loss: 0.7051	LR: 0.020000
Training Epoch: 19 [22016/48700]	Loss: 0.6795	LR: 0.020000
Training Epoch: 19 [22272/48700]	Loss: 0.6285	LR: 0.020000
Training Epoch: 19 [22528/48700]	Loss: 0.5664	LR: 0.020000
Training Epoch: 19 [22784/48700]	Loss: 0.5625	LR: 0.020000
Training Epoch: 19 [23040/48700]	Loss: 0.6382	LR: 0.020000
Training Epoch: 19 [23296/48700]	Loss: 0.6459	LR: 0.020000
Training Epoch: 19 [23552/48700]	Loss: 0.6343	LR: 0.020000
Training Epoch: 19 [23808/48700]	Loss: 0.5471	LR: 0.020000
Training Epoch: 19 [24064/48700]	Loss: 0.7071	LR: 0.020000
Training Epoch: 19 [24320/48700]	Loss: 0.5847	LR: 0.020000
Training Epoch: 19 [24576/48700]	Loss: 0.6043	LR: 0.020000
Training Epoch: 19 [24832/48700]	Loss: 0.6479	LR: 0.020000
Training Epoch: 19 [25088/48700]	Loss: 0.5697	LR: 0.020000
Training Epoch: 19 [25344/48700]	Loss: 0.4990	LR: 0.020000
Training Epoch: 19 [25600/48700]	Loss: 0.5317	LR: 0.020000
Training Epoch: 19 [25856/48700]	Loss: 0.6483	LR: 0.020000
Training Epoch: 19 [26112/48700]	Loss: 0.6694	LR: 0.020000
Training Epoch: 19 [26368/48700]	Loss: 0.5855	LR: 0.020000
Training Epoch: 19 [26624/48700]	Loss: 0.6078	LR: 0.020000
Training Epoch: 19 [26880/48700]	Loss: 0.6139	LR: 0.020000
Training Epoch: 19 [27136/48700]	Loss: 0.6463	LR: 0.020000
Training Epoch: 19 [27392/48700]	Loss: 0.7022	LR: 0.020000
Training Epoch: 19 [27648/48700]	Loss: 0.5989	LR: 0.020000
Training Epoch: 19 [27904/48700]	Loss: 0.6813	LR: 0.020000
Training Epoch: 19 [28160/48700]	Loss: 0.6683	LR: 0.020000
Training Epoch: 19 [28416/48700]	Loss: 0.5571	LR: 0.020000
Training Epoch: 19 [28672/48700]	Loss: 0.7141	LR: 0.020000
Training Epoch: 19 [28928/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 19 [29184/48700]	Loss: 0.5700	LR: 0.020000
Training Epoch: 19 [29440/48700]	Loss: 0.6372	LR: 0.020000
Training Epoch: 19 [29696/48700]	Loss: 0.7470	LR: 0.020000
Training Epoch: 19 [29952/48700]	Loss: 0.6248	LR: 0.020000
Training Epoch: 19 [30208/48700]	Loss: 0.6328	LR: 0.020000
Training Epoch: 19 [30464/48700]	Loss: 0.5374	LR: 0.020000
Training Epoch: 19 [30720/48700]	Loss: 0.6504	LR: 0.020000
Training Epoch: 19 [30976/48700]	Loss: 0.6103	LR: 0.020000
Training Epoch: 19 [31232/48700]	Loss: 0.6077	LR: 0.020000
Training Epoch: 19 [31488/48700]	Loss: 0.6152	LR: 0.020000
Training Epoch: 19 [31744/48700]	Loss: 0.6402	LR: 0.020000
Training Epoch: 19 [32000/48700]	Loss: 0.6099	LR: 0.020000
Training Epoch: 19 [32256/48700]	Loss: 0.6985	LR: 0.020000
Training Epoch: 19 [32512/48700]	Loss: 0.6674	LR: 0.020000
Training Epoch: 19 [32768/48700]	Loss: 0.7226	LR: 0.020000
Training Epoch: 19 [33024/48700]	Loss: 0.6369	LR: 0.020000
Training Epoch: 19 [33280/48700]	Loss: 0.6100	LR: 0.020000
Training Epoch: 19 [33536/48700]	Loss: 0.5864	LR: 0.020000
Training Epoch: 19 [33792/48700]	Loss: 0.7073	LR: 0.020000
Training Epoch: 19 [34048/48700]	Loss: 0.7110	LR: 0.020000
Training Epoch: 19 [34304/48700]	Loss: 0.5159	LR: 0.020000
Training Epoch: 19 [34560/48700]	Loss: 0.5673	LR: 0.020000
Training Epoch: 19 [34816/48700]	Loss: 0.5929	LR: 0.020000
Training Epoch: 19 [35072/48700]	Loss: 0.5461	LR: 0.020000
Training Epoch: 19 [35328/48700]	Loss: 0.6814	LR: 0.020000
Training Epoch: 19 [35584/48700]	Loss: 0.5472	LR: 0.020000
Training Epoch: 19 [35840/48700]	Loss: 0.5701	LR: 0.020000
Training Epoch: 19 [36096/48700]	Loss: 0.6697	LR: 0.020000
Training Epoch: 19 [36352/48700]	Loss: 0.5883	LR: 0.020000
Training Epoch: 19 [36608/48700]	Loss: 0.6186	LR: 0.020000
Training Epoch: 19 [36864/48700]	Loss: 0.6314	LR: 0.020000
Training Epoch: 19 [37120/48700]	Loss: 0.5668	LR: 0.020000
Training Epoch: 19 [37376/48700]	Loss: 0.6604	LR: 0.020000
Training Epoch: 19 [37632/48700]	Loss: 0.5601	LR: 0.020000
Training Epoch: 19 [37888/48700]	Loss: 0.5553	LR: 0.020000
Training Epoch: 19 [38144/48700]	Loss: 0.5844	LR: 0.020000
Training Epoch: 19 [38400/48700]	Loss: 0.6950	LR: 0.020000
Training Epoch: 19 [38656/48700]	Loss: 0.7655	LR: 0.020000
Training Epoch: 19 [38912/48700]	Loss: 0.5763	LR: 0.020000
Training Epoch: 19 [39168/48700]	Loss: 0.6082	LR: 0.020000
Training Epoch: 19 [39424/48700]	Loss: 0.7408	LR: 0.020000
Training Epoch: 19 [39680/48700]	Loss: 0.5972	LR: 0.020000
Training Epoch: 19 [39936/48700]	Loss: 0.6660	LR: 0.020000
Training Epoch: 19 [40192/48700]	Loss: 0.6174	LR: 0.020000
Training Epoch: 19 [40448/48700]	Loss: 0.6199	LR: 0.020000
Training Epoch: 19 [40704/48700]	Loss: 0.5288	LR: 0.020000
Training Epoch: 19 [40960/48700]	Loss: 0.6266	LR: 0.020000
Training Epoch: 19 [41216/48700]	Loss: 0.6002	LR: 0.020000
Training Epoch: 19 [41472/48700]	Loss: 0.6990	LR: 0.020000
Training Epoch: 19 [41728/48700]	Loss: 0.6779	LR: 0.020000
Training Epoch: 19 [41984/48700]	Loss: 0.6750	LR: 0.020000
Training Epoch: 19 [42240/48700]	Loss: 0.6107	LR: 0.020000
Training Epoch: 19 [42496/48700]	Loss: 0.5958	LR: 0.020000
Training Epoch: 19 [42752/48700]	Loss: 0.5368	LR: 0.020000
Training Epoch: 19 [43008/48700]	Loss: 0.6611	LR: 0.020000
Training Epoch: 19 [43264/48700]	Loss: 0.6176	LR: 0.020000
Training Epoch: 19 [43520/48700]	Loss: 0.5849	LR: 0.020000
Training Epoch: 19 [43776/48700]	Loss: 0.5967	LR: 0.020000
Training Epoch: 19 [44032/48700]	Loss: 0.6698	LR: 0.020000
Training Epoch: 19 [44288/48700]	Loss: 0.6583	LR: 0.020000
Training Epoch: 19 [44544/48700]	Loss: 0.6774	LR: 0.020000
Training Epoch: 19 [44800/48700]	Loss: 0.6331	LR: 0.020000
Training Epoch: 19 [45056/48700]	Loss: 0.6433	LR: 0.020000
Training Epoch: 19 [45312/48700]	Loss: 0.6745	LR: 0.020000
Training Epoch: 19 [45568/48700]	Loss: 0.6180	LR: 0.020000
Training Epoch: 19 [45824/48700]	Loss: 0.5743	LR: 0.020000
Training Epoch: 19 [46080/48700]	Loss: 0.6778	LR: 0.020000
Training Epoch: 19 [46336/48700]	Loss: 0.5686	LR: 0.020000
Training Epoch: 19 [46592/48700]	Loss: 0.5827	LR: 0.020000
Training Epoch: 19 [46848/48700]	Loss: 0.6133	LR: 0.020000
Training Epoch: 19 [47104/48700]	Loss: 0.7409	LR: 0.020000
Training Epoch: 19 [47360/48700]	Loss: 0.6919	LR: 0.020000
Training Epoch: 19 [47616/48700]	Loss: 0.6054	LR: 0.020000
Training Epoch: 19 [47872/48700]	Loss: 0.6264	LR: 0.020000
Training Epoch: 19 [48128/48700]	Loss: 0.6570	LR: 0.020000
Training Epoch: 19 [48384/48700]	Loss: 0.7287	LR: 0.020000
Training Epoch: 19 [48640/48700]	Loss: 0.7088	LR: 0.020000
Training Epoch: 19 [48700/48700]	Loss: 0.7673	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6260, Train Accuracy: 0.7995
Epoch 19 training time consumed: 26.82s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0033, Accuracy: 0.7376, Time consumed:0.98s
Training Epoch: 20 [256/48700]	Loss: 0.6487	LR: 0.020000
Training Epoch: 20 [512/48700]	Loss: 0.7196	LR: 0.020000
Training Epoch: 20 [768/48700]	Loss: 0.6441	LR: 0.020000
Training Epoch: 20 [1024/48700]	Loss: 0.7078	LR: 0.020000
Training Epoch: 20 [1280/48700]	Loss: 0.6433	LR: 0.020000
Training Epoch: 20 [1536/48700]	Loss: 0.5584	LR: 0.020000
Training Epoch: 20 [1792/48700]	Loss: 0.5821	LR: 0.020000
Training Epoch: 20 [2048/48700]	Loss: 0.5648	LR: 0.020000
Training Epoch: 20 [2304/48700]	Loss: 0.5817	LR: 0.020000
Training Epoch: 20 [2560/48700]	Loss: 0.5572	LR: 0.020000
Training Epoch: 20 [2816/48700]	Loss: 0.6078	LR: 0.020000
Training Epoch: 20 [3072/48700]	Loss: 0.6017	LR: 0.020000
Training Epoch: 20 [3328/48700]	Loss: 0.6400	LR: 0.020000
Training Epoch: 20 [3584/48700]	Loss: 0.6462	LR: 0.020000
Training Epoch: 20 [3840/48700]	Loss: 0.5743	LR: 0.020000
Training Epoch: 20 [4096/48700]	Loss: 0.5431	LR: 0.020000
Training Epoch: 20 [4352/48700]	Loss: 0.6173	LR: 0.020000
Training Epoch: 20 [4608/48700]	Loss: 0.6710	LR: 0.020000
Training Epoch: 20 [4864/48700]	Loss: 0.5406	LR: 0.020000
Training Epoch: 20 [5120/48700]	Loss: 0.5930	LR: 0.020000
Training Epoch: 20 [5376/48700]	Loss: 0.5981	LR: 0.020000
Training Epoch: 20 [5632/48700]	Loss: 0.5176	LR: 0.020000
Training Epoch: 20 [5888/48700]	Loss: 0.6006	LR: 0.020000
Training Epoch: 20 [6144/48700]	Loss: 0.6038	LR: 0.020000
Training Epoch: 20 [6400/48700]	Loss: 0.5789	LR: 0.020000
Training Epoch: 20 [6656/48700]	Loss: 0.6518	LR: 0.020000
Training Epoch: 20 [6912/48700]	Loss: 0.6985	LR: 0.020000
Training Epoch: 20 [7168/48700]	Loss: 0.5391	LR: 0.020000
Training Epoch: 20 [7424/48700]	Loss: 0.6449	LR: 0.020000
Training Epoch: 20 [7680/48700]	Loss: 0.6031	LR: 0.020000
Training Epoch: 20 [7936/48700]	Loss: 0.5528	LR: 0.020000
Training Epoch: 20 [8192/48700]	Loss: 0.6034	LR: 0.020000
Training Epoch: 20 [8448/48700]	Loss: 0.5905	LR: 0.020000
Training Epoch: 20 [8704/48700]	Loss: 0.6432	LR: 0.020000
Training Epoch: 20 [8960/48700]	Loss: 0.6637	LR: 0.020000
Training Epoch: 20 [9216/48700]	Loss: 0.6247	LR: 0.020000
Training Epoch: 20 [9472/48700]	Loss: 0.6188	LR: 0.020000
Training Epoch: 20 [9728/48700]	Loss: 0.6480	LR: 0.020000
Training Epoch: 20 [9984/48700]	Loss: 0.5551	LR: 0.020000
Training Epoch: 20 [10240/48700]	Loss: 0.5622	LR: 0.020000
Training Epoch: 20 [10496/48700]	Loss: 0.6471	LR: 0.020000
Training Epoch: 20 [10752/48700]	Loss: 0.6204	LR: 0.020000
Training Epoch: 20 [11008/48700]	Loss: 0.5856	LR: 0.020000
Training Epoch: 20 [11264/48700]	Loss: 0.4558	LR: 0.020000
Training Epoch: 20 [11520/48700]	Loss: 0.6418	LR: 0.020000
Training Epoch: 20 [11776/48700]	Loss: 0.5363	LR: 0.020000
Training Epoch: 20 [12032/48700]	Loss: 0.5939	LR: 0.020000
Training Epoch: 20 [12288/48700]	Loss: 0.5994	LR: 0.020000
Training Epoch: 20 [12544/48700]	Loss: 0.6106	LR: 0.020000
Training Epoch: 20 [12800/48700]	Loss: 0.4931	LR: 0.020000
Training Epoch: 20 [13056/48700]	Loss: 0.6208	LR: 0.020000
Training Epoch: 20 [13312/48700]	Loss: 0.4875	LR: 0.020000
Training Epoch: 20 [13568/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 20 [13824/48700]	Loss: 0.6962	LR: 0.020000
Training Epoch: 20 [14080/48700]	Loss: 0.5106	LR: 0.020000
Training Epoch: 20 [14336/48700]	Loss: 0.5425	LR: 0.020000
Training Epoch: 20 [14592/48700]	Loss: 0.5002	LR: 0.020000
Training Epoch: 20 [14848/48700]	Loss: 0.5793	LR: 0.020000
Training Epoch: 20 [15104/48700]	Loss: 0.6219	LR: 0.020000
Training Epoch: 20 [15360/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 20 [15616/48700]	Loss: 0.6245	LR: 0.020000
Training Epoch: 20 [15872/48700]	Loss: 0.4912	LR: 0.020000
Training Epoch: 20 [16128/48700]	Loss: 0.5206	LR: 0.020000
Training Epoch: 20 [16384/48700]	Loss: 0.6425	LR: 0.020000
Training Epoch: 20 [16640/48700]	Loss: 0.6302	LR: 0.020000
Training Epoch: 20 [16896/48700]	Loss: 0.6140	LR: 0.020000
Training Epoch: 20 [17152/48700]	Loss: 0.6534	LR: 0.020000
Training Epoch: 20 [17408/48700]	Loss: 0.5479	LR: 0.020000
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Training Epoch: 20 [48700/48700]	Loss: 0.6544	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6122, Train Accuracy: 0.8029
Epoch 20 training time consumed: 26.78s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0032, Accuracy: 0.7497, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-20-best.pth
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Training Epoch: 21 [41728/48700]	Loss: 0.6925	LR: 0.020000
Training Epoch: 21 [41984/48700]	Loss: 0.6382	LR: 0.020000
Training Epoch: 21 [42240/48700]	Loss: 0.7093	LR: 0.020000
Training Epoch: 21 [42496/48700]	Loss: 0.5882	LR: 0.020000
Training Epoch: 21 [42752/48700]	Loss: 0.5475	LR: 0.020000
Training Epoch: 21 [43008/48700]	Loss: 0.6387	LR: 0.020000
Training Epoch: 21 [43264/48700]	Loss: 0.5665	LR: 0.020000
Training Epoch: 21 [43520/48700]	Loss: 0.5853	LR: 0.020000
Training Epoch: 21 [43776/48700]	Loss: 0.6524	LR: 0.020000
Training Epoch: 21 [44032/48700]	Loss: 0.6436	LR: 0.020000
Training Epoch: 21 [44288/48700]	Loss: 0.6343	LR: 0.020000
Training Epoch: 21 [44544/48700]	Loss: 0.5842	LR: 0.020000
Training Epoch: 21 [44800/48700]	Loss: 0.5768	LR: 0.020000
Training Epoch: 21 [45056/48700]	Loss: 0.5164	LR: 0.020000
Training Epoch: 21 [45312/48700]	Loss: 0.6227	LR: 0.020000
Training Epoch: 21 [45568/48700]	Loss: 0.4722	LR: 0.020000
Training Epoch: 21 [45824/48700]	Loss: 0.5811	LR: 0.020000
Training Epoch: 21 [46080/48700]	Loss: 0.5584	LR: 0.020000
Training Epoch: 21 [46336/48700]	Loss: 0.6178	LR: 0.020000
Training Epoch: 21 [46592/48700]	Loss: 0.6100	LR: 0.020000
Training Epoch: 21 [46848/48700]	Loss: 0.7599	LR: 0.020000
Training Epoch: 21 [47104/48700]	Loss: 0.7061	LR: 0.020000
Training Epoch: 21 [47360/48700]	Loss: 0.5934	LR: 0.020000
Training Epoch: 21 [47616/48700]	Loss: 0.5818	LR: 0.020000
Training Epoch: 21 [47872/48700]	Loss: 0.5086	LR: 0.020000
Training Epoch: 21 [48128/48700]	Loss: 0.6787	LR: 0.020000
Training Epoch: 21 [48384/48700]	Loss: 0.6168	LR: 0.020000
Training Epoch: 21 [48640/48700]	Loss: 0.5572	LR: 0.020000
Training Epoch: 21 [48700/48700]	Loss: 0.6272	LR: 0.020000
Epoch 21 - Average Train Loss: 0.6011, Train Accuracy: 0.8063
Epoch 21 training time consumed: 26.90s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0032, Accuracy: 0.7494, Time consumed:0.91s
Training Epoch: 22 [256/48700]	Loss: 0.6130	LR: 0.020000
Training Epoch: 22 [512/48700]	Loss: 0.5517	LR: 0.020000
Training Epoch: 22 [768/48700]	Loss: 0.4865	LR: 0.020000
Training Epoch: 22 [1024/48700]	Loss: 0.6077	LR: 0.020000
Training Epoch: 22 [1280/48700]	Loss: 0.5967	LR: 0.020000
Training Epoch: 22 [1536/48700]	Loss: 0.6001	LR: 0.020000
Training Epoch: 22 [1792/48700]	Loss: 0.6350	LR: 0.020000
Training Epoch: 22 [2048/48700]	Loss: 0.5681	LR: 0.020000
Training Epoch: 22 [2304/48700]	Loss: 0.5589	LR: 0.020000
Training Epoch: 22 [2560/48700]	Loss: 0.5493	LR: 0.020000
Training Epoch: 22 [2816/48700]	Loss: 0.5627	LR: 0.020000
Training Epoch: 22 [3072/48700]	Loss: 0.5620	LR: 0.020000
Training Epoch: 22 [3328/48700]	Loss: 0.5383	LR: 0.020000
Training Epoch: 22 [3584/48700]	Loss: 0.5714	LR: 0.020000
Training Epoch: 22 [3840/48700]	Loss: 0.5476	LR: 0.020000
Training Epoch: 22 [4096/48700]	Loss: 0.6181	LR: 0.020000
Training Epoch: 22 [4352/48700]	Loss: 0.5756	LR: 0.020000
Training Epoch: 22 [4608/48700]	Loss: 0.5034	LR: 0.020000
Training Epoch: 22 [4864/48700]	Loss: 0.5606	LR: 0.020000
Training Epoch: 22 [5120/48700]	Loss: 0.6884	LR: 0.020000
Training Epoch: 22 [5376/48700]	Loss: 0.6428	LR: 0.020000
Training Epoch: 22 [5632/48700]	Loss: 0.5688	LR: 0.020000
Training Epoch: 22 [5888/48700]	Loss: 0.5175	LR: 0.020000
Training Epoch: 22 [6144/48700]	Loss: 0.6392	LR: 0.020000
Training Epoch: 22 [6400/48700]	Loss: 0.6184	LR: 0.020000
Training Epoch: 22 [6656/48700]	Loss: 0.5462	LR: 0.020000
Training Epoch: 22 [6912/48700]	Loss: 0.5741	LR: 0.020000
Training Epoch: 22 [7168/48700]	Loss: 0.5513	LR: 0.020000
Training Epoch: 22 [7424/48700]	Loss: 0.5329	LR: 0.020000
Training Epoch: 22 [7680/48700]	Loss: 0.5063	LR: 0.020000
Training Epoch: 22 [7936/48700]	Loss: 0.5728	LR: 0.020000
Training Epoch: 22 [8192/48700]	Loss: 0.5292	LR: 0.020000
Training Epoch: 22 [8448/48700]	Loss: 0.6294	LR: 0.020000
Training Epoch: 22 [8704/48700]	Loss: 0.4819	LR: 0.020000
Training Epoch: 22 [8960/48700]	Loss: 0.5757	LR: 0.020000
Training Epoch: 22 [9216/48700]	Loss: 0.5865	LR: 0.020000
Training Epoch: 22 [9472/48700]	Loss: 0.5929	LR: 0.020000
Training Epoch: 22 [9728/48700]	Loss: 0.6050	LR: 0.020000
Training Epoch: 22 [9984/48700]	Loss: 0.6521	LR: 0.020000
Training Epoch: 22 [10240/48700]	Loss: 0.5916	LR: 0.020000
Training Epoch: 22 [10496/48700]	Loss: 0.6147	LR: 0.020000
Training Epoch: 22 [10752/48700]	Loss: 0.5566	LR: 0.020000
Training Epoch: 22 [11008/48700]	Loss: 0.5747	LR: 0.020000
Training Epoch: 22 [11264/48700]	Loss: 0.5703	LR: 0.020000
Training Epoch: 22 [11520/48700]	Loss: 0.4811	LR: 0.020000
Training Epoch: 22 [11776/48700]	Loss: 0.5077	LR: 0.020000
Training Epoch: 22 [12032/48700]	Loss: 0.5365	LR: 0.020000
Training Epoch: 22 [12288/48700]	Loss: 0.5928	LR: 0.020000
Training Epoch: 22 [12544/48700]	Loss: 0.5461	LR: 0.020000
Training Epoch: 22 [12800/48700]	Loss: 0.6267	LR: 0.020000
Training Epoch: 22 [13056/48700]	Loss: 0.5522	LR: 0.020000
Training Epoch: 22 [13312/48700]	Loss: 0.6390	LR: 0.020000
Training Epoch: 22 [13568/48700]	Loss: 0.5214	LR: 0.020000
Training Epoch: 22 [13824/48700]	Loss: 0.5819	LR: 0.020000
Training Epoch: 22 [14080/48700]	Loss: 0.5578	LR: 0.020000
Training Epoch: 22 [14336/48700]	Loss: 0.5921	LR: 0.020000
Training Epoch: 22 [14592/48700]	Loss: 0.6521	LR: 0.020000
Training Epoch: 22 [14848/48700]	Loss: 0.6143	LR: 0.020000
Training Epoch: 22 [15104/48700]	Loss: 0.4859	LR: 0.020000
Training Epoch: 22 [15360/48700]	Loss: 0.6954	LR: 0.020000
Training Epoch: 22 [15616/48700]	Loss: 0.5017	LR: 0.020000
Training Epoch: 22 [15872/48700]	Loss: 0.4954	LR: 0.020000
Training Epoch: 22 [16128/48700]	Loss: 0.6042	LR: 0.020000
Training Epoch: 22 [16384/48700]	Loss: 0.4550	LR: 0.020000
Training Epoch: 22 [16640/48700]	Loss: 0.4917	LR: 0.020000
Training Epoch: 22 [16896/48700]	Loss: 0.6992	LR: 0.020000
Training Epoch: 22 [17152/48700]	Loss: 0.5643	LR: 0.020000
Training Epoch: 22 [17408/48700]	Loss: 0.5655	LR: 0.020000
Training Epoch: 22 [17664/48700]	Loss: 0.6178	LR: 0.020000
Training Epoch: 22 [17920/48700]	Loss: 0.4265	LR: 0.020000
Training Epoch: 22 [18176/48700]	Loss: 0.5517	LR: 0.020000
Training Epoch: 22 [18432/48700]	Loss: 0.5748	LR: 0.020000
Training Epoch: 22 [18688/48700]	Loss: 0.5035	LR: 0.020000
Training Epoch: 22 [18944/48700]	Loss: 0.4740	LR: 0.020000
Training Epoch: 22 [19200/48700]	Loss: 0.4723	LR: 0.020000
Training Epoch: 22 [19456/48700]	Loss: 0.6796	LR: 0.020000
Training Epoch: 22 [19712/48700]	Loss: 0.5925	LR: 0.020000
Training Epoch: 22 [19968/48700]	Loss: 0.6089	LR: 0.020000
Training Epoch: 22 [20224/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 22 [20480/48700]	Loss: 0.5807	LR: 0.020000
Training Epoch: 22 [20736/48700]	Loss: 0.6795	LR: 0.020000
Training Epoch: 22 [20992/48700]	Loss: 0.6283	LR: 0.020000
Training Epoch: 22 [21248/48700]	Loss: 0.5348	LR: 0.020000
Training Epoch: 22 [21504/48700]	Loss: 0.6486	LR: 0.020000
Training Epoch: 22 [21760/48700]	Loss: 0.4586	LR: 0.020000
Training Epoch: 22 [22016/48700]	Loss: 0.4948	LR: 0.020000
Training Epoch: 22 [22272/48700]	Loss: 0.4167	LR: 0.020000
Training Epoch: 22 [22528/48700]	Loss: 0.6415	LR: 0.020000
Training Epoch: 22 [22784/48700]	Loss: 0.6315	LR: 0.020000
Training Epoch: 22 [23040/48700]	Loss: 0.6896	LR: 0.020000
Training Epoch: 22 [23296/48700]	Loss: 0.6047	LR: 0.020000
Training Epoch: 22 [23552/48700]	Loss: 0.6228	LR: 0.020000
Training Epoch: 22 [23808/48700]	Loss: 0.6442	LR: 0.020000
Training Epoch: 22 [24064/48700]	Loss: 0.5893	LR: 0.020000
Training Epoch: 22 [24320/48700]	Loss: 0.6413	LR: 0.020000
Training Epoch: 22 [24576/48700]	Loss: 0.4839	LR: 0.020000
Training Epoch: 22 [24832/48700]	Loss: 0.5450	LR: 0.020000
Training Epoch: 22 [25088/48700]	Loss: 0.5423	LR: 0.020000
Training Epoch: 22 [25344/48700]	Loss: 0.5734	LR: 0.020000
Training Epoch: 22 [25600/48700]	Loss: 0.4884	LR: 0.020000
Training Epoch: 22 [25856/48700]	Loss: 0.6307	LR: 0.020000
Training Epoch: 22 [26112/48700]	Loss: 0.5208	LR: 0.020000
Training Epoch: 22 [26368/48700]	Loss: 0.5747	LR: 0.020000
Training Epoch: 22 [26624/48700]	Loss: 0.6450	LR: 0.020000
Training Epoch: 22 [26880/48700]	Loss: 0.6663	LR: 0.020000
Training Epoch: 22 [27136/48700]	Loss: 0.6250	LR: 0.020000
Training Epoch: 22 [27392/48700]	Loss: 0.5235	LR: 0.020000
Training Epoch: 22 [27648/48700]	Loss: 0.5600	LR: 0.020000
Training Epoch: 22 [27904/48700]	Loss: 0.5771	LR: 0.020000
Training Epoch: 22 [28160/48700]	Loss: 0.6376	LR: 0.020000
Training Epoch: 22 [28416/48700]	Loss: 0.5212	LR: 0.020000
Training Epoch: 22 [28672/48700]	Loss: 0.4790	LR: 0.020000
Training Epoch: 22 [28928/48700]	Loss: 0.5804	LR: 0.020000
Training Epoch: 22 [29184/48700]	Loss: 0.6955	LR: 0.020000
Training Epoch: 22 [29440/48700]	Loss: 0.6004	LR: 0.020000
Training Epoch: 22 [29696/48700]	Loss: 0.4982	LR: 0.020000
Training Epoch: 22 [29952/48700]	Loss: 0.5521	LR: 0.020000
Training Epoch: 22 [30208/48700]	Loss: 0.5971	LR: 0.020000
Training Epoch: 22 [30464/48700]	Loss: 0.6014	LR: 0.020000
Training Epoch: 22 [30720/48700]	Loss: 0.6393	LR: 0.020000
Training Epoch: 22 [30976/48700]	Loss: 0.6864	LR: 0.020000
Training Epoch: 22 [31232/48700]	Loss: 0.5912	LR: 0.020000
Training Epoch: 22 [31488/48700]	Loss: 0.6479	LR: 0.020000
Training Epoch: 22 [31744/48700]	Loss: 0.6516	LR: 0.020000
Training Epoch: 22 [32000/48700]	Loss: 0.5739	LR: 0.020000
Training Epoch: 22 [32256/48700]	Loss: 0.6908	LR: 0.020000
Training Epoch: 22 [32512/48700]	Loss: 0.6230	LR: 0.020000
Training Epoch: 22 [32768/48700]	Loss: 0.7167	LR: 0.020000
Training Epoch: 22 [33024/48700]	Loss: 0.5683	LR: 0.020000
Training Epoch: 22 [33280/48700]	Loss: 0.5798	LR: 0.020000
Training Epoch: 22 [33536/48700]	Loss: 0.6084	LR: 0.020000
Training Epoch: 22 [33792/48700]	Loss: 0.5374	LR: 0.020000
Training Epoch: 22 [34048/48700]	Loss: 0.6017	LR: 0.020000
Training Epoch: 22 [34304/48700]	Loss: 0.5635	LR: 0.020000
Training Epoch: 22 [34560/48700]	Loss: 0.5618	LR: 0.020000
Training Epoch: 22 [34816/48700]	Loss: 0.7363	LR: 0.020000
Training Epoch: 22 [35072/48700]	Loss: 0.5012	LR: 0.020000
Training Epoch: 22 [35328/48700]	Loss: 0.6262	LR: 0.020000
Training Epoch: 22 [35584/48700]	Loss: 0.6087	LR: 0.020000
Training Epoch: 22 [35840/48700]	Loss: 0.5622	LR: 0.020000
Training Epoch: 22 [36096/48700]	Loss: 0.6132	LR: 0.020000
Training Epoch: 22 [36352/48700]	Loss: 0.5106	LR: 0.020000
Training Epoch: 22 [36608/48700]	Loss: 0.6353	LR: 0.020000
Training Epoch: 22 [36864/48700]	Loss: 0.7046	LR: 0.020000
Training Epoch: 22 [37120/48700]	Loss: 0.5929	LR: 0.020000
Training Epoch: 22 [37376/48700]	Loss: 0.5592	LR: 0.020000
Training Epoch: 22 [37632/48700]	Loss: 0.4592	LR: 0.020000
Training Epoch: 22 [37888/48700]	Loss: 0.6295	LR: 0.020000
Training Epoch: 22 [38144/48700]	Loss: 0.5378	LR: 0.020000
Training Epoch: 22 [38400/48700]	Loss: 0.5484	LR: 0.020000
Training Epoch: 22 [38656/48700]	Loss: 0.6335	LR: 0.020000
Training Epoch: 22 [38912/48700]	Loss: 0.5934	LR: 0.020000
Training Epoch: 22 [39168/48700]	Loss: 0.6063	LR: 0.020000
Training Epoch: 22 [39424/48700]	Loss: 0.6038	LR: 0.020000
Training Epoch: 22 [39680/48700]	Loss: 0.5411	LR: 0.020000
Training Epoch: 22 [39936/48700]	Loss: 0.5199	LR: 0.020000
Training Epoch: 22 [40192/48700]	Loss: 0.5484	LR: 0.020000
Training Epoch: 22 [40448/48700]	Loss: 0.4779	LR: 0.020000
Training Epoch: 22 [40704/48700]	Loss: 0.5981	LR: 0.020000
Training Epoch: 22 [40960/48700]	Loss: 0.4958	LR: 0.020000
Training Epoch: 22 [41216/48700]	Loss: 0.6778	LR: 0.020000
Training Epoch: 22 [41472/48700]	Loss: 0.6463	LR: 0.020000
Training Epoch: 22 [41728/48700]	Loss: 0.5980	LR: 0.020000
Training Epoch: 22 [41984/48700]	Loss: 0.6388	LR: 0.020000
Training Epoch: 22 [42240/48700]	Loss: 0.5609	LR: 0.020000
Training Epoch: 22 [42496/48700]	Loss: 0.4999	LR: 0.020000
Training Epoch: 22 [42752/48700]	Loss: 0.5888	LR: 0.020000
Training Epoch: 22 [43008/48700]	Loss: 0.6546	LR: 0.020000
Training Epoch: 22 [43264/48700]	Loss: 0.6290	LR: 0.020000
Training Epoch: 22 [43520/48700]	Loss: 0.6198	LR: 0.020000
Training Epoch: 22 [43776/48700]	Loss: 0.5266	LR: 0.020000
Training Epoch: 22 [44032/48700]	Loss: 0.6469	LR: 0.020000
Training Epoch: 22 [44288/48700]	Loss: 0.5540	LR: 0.020000
Training Epoch: 22 [44544/48700]	Loss: 0.6747	LR: 0.020000
Training Epoch: 22 [44800/48700]	Loss: 0.5646	LR: 0.020000
Training Epoch: 22 [45056/48700]	Loss: 0.5277	LR: 0.020000
Training Epoch: 22 [45312/48700]	Loss: 0.6550	LR: 0.020000
Training Epoch: 22 [45568/48700]	Loss: 0.5645	LR: 0.020000
Training Epoch: 22 [45824/48700]	Loss: 0.5450	LR: 0.020000
Training Epoch: 22 [46080/48700]	Loss: 0.6143	LR: 0.020000
Training Epoch: 22 [46336/48700]	Loss: 0.5047	LR: 0.020000
Training Epoch: 22 [46592/48700]	Loss: 0.6583	LR: 0.020000
Training Epoch: 22 [46848/48700]	Loss: 0.6025	LR: 0.020000
Training Epoch: 22 [47104/48700]	Loss: 0.6557	LR: 0.020000
Training Epoch: 22 [47360/48700]	Loss: 0.5284	LR: 0.020000
Training Epoch: 22 [47616/48700]	Loss: 0.6731	LR: 0.020000
Training Epoch: 22 [47872/48700]	Loss: 0.6496	LR: 0.020000
Training Epoch: 22 [48128/48700]	Loss: 0.5525	LR: 0.020000
Training Epoch: 22 [48384/48700]	Loss: 0.5959	LR: 0.020000
Training Epoch: 22 [48640/48700]	Loss: 0.6052	LR: 0.020000
Training Epoch: 22 [48700/48700]	Loss: 0.6458	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5815, Train Accuracy: 0.8111
Epoch 22 training time consumed: 26.89s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0035, Accuracy: 0.7399, Time consumed:0.90s
Training Epoch: 23 [256/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 23 [512/48700]	Loss: 0.4982	LR: 0.020000
Training Epoch: 23 [768/48700]	Loss: 0.4265	LR: 0.020000
Training Epoch: 23 [1024/48700]	Loss: 0.5763	LR: 0.020000
Training Epoch: 23 [1280/48700]	Loss: 0.6478	LR: 0.020000
Training Epoch: 23 [1536/48700]	Loss: 0.5631	LR: 0.020000
Training Epoch: 23 [1792/48700]	Loss: 0.6072	LR: 0.020000
Training Epoch: 23 [2048/48700]	Loss: 0.4625	LR: 0.020000
Training Epoch: 23 [2304/48700]	Loss: 0.5213	LR: 0.020000
Training Epoch: 23 [2560/48700]	Loss: 0.5626	LR: 0.020000
Training Epoch: 23 [2816/48700]	Loss: 0.5310	LR: 0.020000
Training Epoch: 23 [3072/48700]	Loss: 0.5446	LR: 0.020000
Training Epoch: 23 [3328/48700]	Loss: 0.5671	LR: 0.020000
Training Epoch: 23 [3584/48700]	Loss: 0.4866	LR: 0.020000
Training Epoch: 23 [3840/48700]	Loss: 0.5581	LR: 0.020000
Training Epoch: 23 [4096/48700]	Loss: 0.5169	LR: 0.020000
Training Epoch: 23 [4352/48700]	Loss: 0.6048	LR: 0.020000
Training Epoch: 23 [4608/48700]	Loss: 0.5175	LR: 0.020000
Training Epoch: 23 [4864/48700]	Loss: 0.5793	LR: 0.020000
Training Epoch: 23 [5120/48700]	Loss: 0.4520	LR: 0.020000
Training Epoch: 23 [5376/48700]	Loss: 0.6991	LR: 0.020000
Training Epoch: 23 [5632/48700]	Loss: 0.4640	LR: 0.020000
Training Epoch: 23 [5888/48700]	Loss: 0.5393	LR: 0.020000
Training Epoch: 23 [6144/48700]	Loss: 0.6246	LR: 0.020000
Training Epoch: 23 [6400/48700]	Loss: 0.5135	LR: 0.020000
Training Epoch: 23 [6656/48700]	Loss: 0.5629	LR: 0.020000
Training Epoch: 23 [6912/48700]	Loss: 0.4459	LR: 0.020000
Training Epoch: 23 [7168/48700]	Loss: 0.6111	LR: 0.020000
Training Epoch: 23 [7424/48700]	Loss: 0.5299	LR: 0.020000
Training Epoch: 23 [7680/48700]	Loss: 0.4787	LR: 0.020000
Training Epoch: 23 [7936/48700]	Loss: 0.4488	LR: 0.020000
Training Epoch: 23 [8192/48700]	Loss: 0.4943	LR: 0.020000
Training Epoch: 23 [8448/48700]	Loss: 0.5425	LR: 0.020000
Training Epoch: 23 [8704/48700]	Loss: 0.5326	LR: 0.020000
Training Epoch: 23 [8960/48700]	Loss: 0.5668	LR: 0.020000
Training Epoch: 23 [9216/48700]	Loss: 0.4671	LR: 0.020000
Training Epoch: 23 [9472/48700]	Loss: 0.5589	LR: 0.020000
Training Epoch: 23 [9728/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 23 [9984/48700]	Loss: 0.5440	LR: 0.020000
Training Epoch: 23 [10240/48700]	Loss: 0.6164	LR: 0.020000
Training Epoch: 23 [10496/48700]	Loss: 0.6032	LR: 0.020000
Training Epoch: 23 [10752/48700]	Loss: 0.5585	LR: 0.020000
Training Epoch: 23 [11008/48700]	Loss: 0.5887	LR: 0.020000
Training Epoch: 23 [11264/48700]	Loss: 0.5442	LR: 0.020000
Training Epoch: 23 [11520/48700]	Loss: 0.6026	LR: 0.020000
Training Epoch: 23 [11776/48700]	Loss: 0.5395	LR: 0.020000
Training Epoch: 23 [12032/48700]	Loss: 0.5085	LR: 0.020000
Training Epoch: 23 [12288/48700]	Loss: 0.5174	LR: 0.020000
Training Epoch: 23 [12544/48700]	Loss: 0.5175	LR: 0.020000
Training Epoch: 23 [12800/48700]	Loss: 0.5314	LR: 0.020000
Training Epoch: 23 [13056/48700]	Loss: 0.5842	LR: 0.020000
Training Epoch: 23 [13312/48700]	Loss: 0.4754	LR: 0.020000
Training Epoch: 23 [13568/48700]	Loss: 0.6318	LR: 0.020000
Training Epoch: 23 [13824/48700]	Loss: 0.6138	LR: 0.020000
Training Epoch: 23 [14080/48700]	Loss: 0.7065	LR: 0.020000
Training Epoch: 23 [14336/48700]	Loss: 0.6090	LR: 0.020000
Training Epoch: 23 [14592/48700]	Loss: 0.4614	LR: 0.020000
Training Epoch: 23 [14848/48700]	Loss: 0.6255	LR: 0.020000
Training Epoch: 23 [15104/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 23 [15360/48700]	Loss: 0.5113	LR: 0.020000
Training Epoch: 23 [15616/48700]	Loss: 0.5309	LR: 0.020000
Training Epoch: 23 [15872/48700]	Loss: 0.5374	LR: 0.020000
Training Epoch: 23 [16128/48700]	Loss: 0.6025	LR: 0.020000
Training Epoch: 23 [16384/48700]	Loss: 0.6775	LR: 0.020000
Training Epoch: 23 [16640/48700]	Loss: 0.6281	LR: 0.020000
Training Epoch: 23 [16896/48700]	Loss: 0.5818	LR: 0.020000
Training Epoch: 23 [17152/48700]	Loss: 0.5612	LR: 0.020000
Training Epoch: 23 [17408/48700]	Loss: 0.5966	LR: 0.020000
Training Epoch: 23 [17664/48700]	Loss: 0.6029	LR: 0.020000
Training Epoch: 23 [17920/48700]	Loss: 0.6530	LR: 0.020000
Training Epoch: 23 [18176/48700]	Loss: 0.6481	LR: 0.020000
Training Epoch: 23 [18432/48700]	Loss: 0.5402	LR: 0.020000
Training Epoch: 23 [18688/48700]	Loss: 0.6328	LR: 0.020000
Training Epoch: 23 [18944/48700]	Loss: 0.6395	LR: 0.020000
Training Epoch: 23 [19200/48700]	Loss: 0.4827	LR: 0.020000
Training Epoch: 23 [19456/48700]	Loss: 0.5958	LR: 0.020000
Training Epoch: 23 [19712/48700]	Loss: 0.5980	LR: 0.020000
Training Epoch: 23 [19968/48700]	Loss: 0.5369	LR: 0.020000
Training Epoch: 23 [20224/48700]	Loss: 0.6475	LR: 0.020000
Training Epoch: 23 [20480/48700]	Loss: 0.5807	LR: 0.020000
Training Epoch: 23 [20736/48700]	Loss: 0.6137	LR: 0.020000
Training Epoch: 23 [20992/48700]	Loss: 0.4950	LR: 0.020000
Training Epoch: 23 [21248/48700]	Loss: 0.5612	LR: 0.020000
Training Epoch: 23 [21504/48700]	Loss: 0.6500	LR: 0.020000
Training Epoch: 23 [21760/48700]	Loss: 0.6357	LR: 0.020000
Training Epoch: 23 [22016/48700]	Loss: 0.6511	LR: 0.020000
Training Epoch: 23 [22272/48700]	Loss: 0.5581	LR: 0.020000
Training Epoch: 23 [22528/48700]	Loss: 0.4823	LR: 0.020000
Training Epoch: 23 [22784/48700]	Loss: 0.5194	LR: 0.020000
Training Epoch: 23 [23040/48700]	Loss: 0.4829	LR: 0.020000
Training Epoch: 23 [23296/48700]	Loss: 0.5368	LR: 0.020000
Training Epoch: 23 [23552/48700]	Loss: 0.5532	LR: 0.020000
Training Epoch: 23 [23808/48700]	Loss: 0.5342	LR: 0.020000
Training Epoch: 23 [24064/48700]	Loss: 0.4481	LR: 0.020000
Training Epoch: 23 [24320/48700]	Loss: 0.5226	LR: 0.020000
Training Epoch: 23 [24576/48700]	Loss: 0.4988	LR: 0.020000
Training Epoch: 23 [24832/48700]	Loss: 0.5146	LR: 0.020000
Training Epoch: 23 [25088/48700]	Loss: 0.5732	LR: 0.020000
Training Epoch: 23 [25344/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 23 [25600/48700]	Loss: 0.5540	LR: 0.020000
Training Epoch: 23 [25856/48700]	Loss: 0.6360	LR: 0.020000
Training Epoch: 23 [26112/48700]	Loss: 0.4390	LR: 0.020000
Training Epoch: 23 [26368/48700]	Loss: 0.5486	LR: 0.020000
Training Epoch: 23 [26624/48700]	Loss: 0.5023	LR: 0.020000
Training Epoch: 23 [26880/48700]	Loss: 0.6682	LR: 0.020000
Training Epoch: 23 [27136/48700]	Loss: 0.5165	LR: 0.020000
Training Epoch: 23 [27392/48700]	Loss: 0.5706	LR: 0.020000
Training Epoch: 23 [27648/48700]	Loss: 0.5516	LR: 0.020000
Training Epoch: 23 [27904/48700]	Loss: 0.5953	LR: 0.020000
Training Epoch: 23 [28160/48700]	Loss: 0.5049	LR: 0.020000
Training Epoch: 23 [28416/48700]	Loss: 0.7561	LR: 0.020000
Training Epoch: 23 [28672/48700]	Loss: 0.5978	LR: 0.020000
Training Epoch: 23 [28928/48700]	Loss: 0.6339	LR: 0.020000
Training Epoch: 23 [29184/48700]	Loss: 0.6183	LR: 0.020000
Training Epoch: 23 [29440/48700]	Loss: 0.6778	LR: 0.020000
Training Epoch: 23 [29696/48700]	Loss: 0.5480	LR: 0.020000
Training Epoch: 23 [29952/48700]	Loss: 0.6241	LR: 0.020000
Training Epoch: 23 [30208/48700]	Loss: 0.5239	LR: 0.020000
Training Epoch: 23 [30464/48700]	Loss: 0.5910	LR: 0.020000
Training Epoch: 23 [30720/48700]	Loss: 0.6781	LR: 0.020000
Training Epoch: 23 [30976/48700]	Loss: 0.5846	LR: 0.020000
Training Epoch: 23 [31232/48700]	Loss: 0.5318	LR: 0.020000
Training Epoch: 23 [31488/48700]	Loss: 0.6029	LR: 0.020000
Training Epoch: 23 [31744/48700]	Loss: 0.5442	LR: 0.020000
Training Epoch: 23 [32000/48700]	Loss: 0.5824	LR: 0.020000
Training Epoch: 23 [32256/48700]	Loss: 0.5992	LR: 0.020000
Training Epoch: 23 [32512/48700]	Loss: 0.6187	LR: 0.020000
Training Epoch: 23 [32768/48700]	Loss: 0.5589	LR: 0.020000
Training Epoch: 23 [33024/48700]	Loss: 0.6666	LR: 0.020000
Training Epoch: 23 [33280/48700]	Loss: 0.5163	LR: 0.020000
Training Epoch: 23 [33536/48700]	Loss: 0.5684	LR: 0.020000
Training Epoch: 23 [33792/48700]	Loss: 0.5793	LR: 0.020000
Training Epoch: 23 [34048/48700]	Loss: 0.5282	LR: 0.020000
Training Epoch: 23 [34304/48700]	Loss: 0.6845	LR: 0.020000
Training Epoch: 23 [34560/48700]	Loss: 0.5707	LR: 0.020000
Training Epoch: 23 [34816/48700]	Loss: 0.6966	LR: 0.020000
Training Epoch: 23 [35072/48700]	Loss: 0.5583	LR: 0.020000
Training Epoch: 23 [35328/48700]	Loss: 0.4903	LR: 0.020000
Training Epoch: 23 [35584/48700]	Loss: 0.6235	LR: 0.020000
Training Epoch: 23 [35840/48700]	Loss: 0.5807	LR: 0.020000
Training Epoch: 23 [36096/48700]	Loss: 0.6329	LR: 0.020000
Training Epoch: 23 [36352/48700]	Loss: 0.5821	LR: 0.020000
Training Epoch: 23 [36608/48700]	Loss: 0.5009	LR: 0.020000
Training Epoch: 23 [36864/48700]	Loss: 0.5633	LR: 0.020000
Training Epoch: 23 [37120/48700]	Loss: 0.6912	LR: 0.020000
Training Epoch: 23 [37376/48700]	Loss: 0.6305	LR: 0.020000
Training Epoch: 23 [37632/48700]	Loss: 0.5493	LR: 0.020000
Training Epoch: 23 [37888/48700]	Loss: 0.4770	LR: 0.020000
Training Epoch: 23 [38144/48700]	Loss: 0.5458	LR: 0.020000
Training Epoch: 23 [38400/48700]	Loss: 0.5909	LR: 0.020000
Training Epoch: 23 [38656/48700]	Loss: 0.5013	LR: 0.020000
Training Epoch: 23 [38912/48700]	Loss: 0.7698	LR: 0.020000
Training Epoch: 23 [39168/48700]	Loss: 0.5978	LR: 0.020000
Training Epoch: 23 [39424/48700]	Loss: 0.5986	LR: 0.020000
Training Epoch: 23 [39680/48700]	Loss: 0.4801	LR: 0.020000
Training Epoch: 23 [39936/48700]	Loss: 0.6168	LR: 0.020000
Training Epoch: 23 [40192/48700]	Loss: 0.7075	LR: 0.020000
Training Epoch: 23 [40448/48700]	Loss: 0.6370	LR: 0.020000
Training Epoch: 23 [40704/48700]	Loss: 0.6112	LR: 0.020000
Training Epoch: 23 [40960/48700]	Loss: 0.6145	LR: 0.020000
Training Epoch: 23 [41216/48700]	Loss: 0.5188	LR: 0.020000
Training Epoch: 23 [41472/48700]	Loss: 0.6419	LR: 0.020000
Training Epoch: 23 [41728/48700]	Loss: 0.5839	LR: 0.020000
Training Epoch: 23 [41984/48700]	Loss: 0.5454	LR: 0.020000
Training Epoch: 23 [42240/48700]	Loss: 0.5783	LR: 0.020000
Training Epoch: 23 [42496/48700]	Loss: 0.6160	LR: 0.020000
Training Epoch: 23 [42752/48700]	Loss: 0.6396	LR: 0.020000
Training Epoch: 23 [43008/48700]	Loss: 0.5289	LR: 0.020000
Training Epoch: 23 [43264/48700]	Loss: 0.6830	LR: 0.020000
Training Epoch: 23 [43520/48700]	Loss: 0.5619	LR: 0.020000
Training Epoch: 23 [43776/48700]	Loss: 0.6114	LR: 0.020000
Training Epoch: 23 [44032/48700]	Loss: 0.5736	LR: 0.020000
Training Epoch: 23 [44288/48700]	Loss: 0.6271	LR: 0.020000
Training Epoch: 23 [44544/48700]	Loss: 0.6622	LR: 0.020000
Training Epoch: 23 [44800/48700]	Loss: 0.5674	LR: 0.020000
Training Epoch: 23 [45056/48700]	Loss: 0.4992	LR: 0.020000
Training Epoch: 23 [45312/48700]	Loss: 0.6174	LR: 0.020000
Training Epoch: 23 [45568/48700]	Loss: 0.5825	LR: 0.020000
Training Epoch: 23 [45824/48700]	Loss: 0.5084	LR: 0.020000
Training Epoch: 23 [46080/48700]	Loss: 0.5952	LR: 0.020000
Training Epoch: 23 [46336/48700]	Loss: 0.5804	LR: 0.020000
Training Epoch: 23 [46592/48700]	Loss: 0.6489	LR: 0.020000
Training Epoch: 23 [46848/48700]	Loss: 0.5620	LR: 0.020000
Training Epoch: 23 [47104/48700]	Loss: 0.5963	LR: 0.020000
Training Epoch: 23 [47360/48700]	Loss: 0.6593	LR: 0.020000
Training Epoch: 23 [47616/48700]	Loss: 0.6042	LR: 0.020000
Training Epoch: 23 [47872/48700]	Loss: 0.5755	LR: 0.020000
Training Epoch: 23 [48128/48700]	Loss: 0.5299	LR: 0.020000
Training Epoch: 23 [48384/48700]	Loss: 0.5645	LR: 0.020000
Training Epoch: 23 [48640/48700]	Loss: 0.5411	LR: 0.020000
Training Epoch: 23 [48700/48700]	Loss: 0.6484	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5717, Train Accuracy: 0.8146
Epoch 23 training time consumed: 26.60s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0036, Accuracy: 0.7312, Time consumed:0.88s
Training Epoch: 24 [256/48700]	Loss: 0.5333	LR: 0.020000
Training Epoch: 24 [512/48700]	Loss: 0.5597	LR: 0.020000
Training Epoch: 24 [768/48700]	Loss: 0.5432	LR: 0.020000
Training Epoch: 24 [1024/48700]	Loss: 0.5172	LR: 0.020000
Training Epoch: 24 [1280/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 24 [1536/48700]	Loss: 0.6450	LR: 0.020000
Training Epoch: 24 [1792/48700]	Loss: 0.4138	LR: 0.020000
Training Epoch: 24 [2048/48700]	Loss: 0.5624	LR: 0.020000
Training Epoch: 24 [2304/48700]	Loss: 0.5036	LR: 0.020000
Training Epoch: 24 [2560/48700]	Loss: 0.4546	LR: 0.020000
Training Epoch: 24 [2816/48700]	Loss: 0.4968	LR: 0.020000
Training Epoch: 24 [3072/48700]	Loss: 0.5270	LR: 0.020000
Training Epoch: 24 [3328/48700]	Loss: 0.5713	LR: 0.020000
Training Epoch: 24 [3584/48700]	Loss: 0.5429	LR: 0.020000
Training Epoch: 24 [3840/48700]	Loss: 0.5354	LR: 0.020000
Training Epoch: 24 [4096/48700]	Loss: 0.5904	LR: 0.020000
Training Epoch: 24 [4352/48700]	Loss: 0.5690	LR: 0.020000
Training Epoch: 24 [4608/48700]	Loss: 0.4745	LR: 0.020000
Training Epoch: 24 [4864/48700]	Loss: 0.4894	LR: 0.020000
Training Epoch: 24 [5120/48700]	Loss: 0.5918	LR: 0.020000
Training Epoch: 24 [5376/48700]	Loss: 0.5634	LR: 0.020000
Training Epoch: 24 [5632/48700]	Loss: 0.5181	LR: 0.020000
Training Epoch: 24 [5888/48700]	Loss: 0.5726	LR: 0.020000
Training Epoch: 24 [6144/48700]	Loss: 0.5367	LR: 0.020000
Training Epoch: 24 [6400/48700]	Loss: 0.5805	LR: 0.020000
Training Epoch: 24 [6656/48700]	Loss: 0.5189	LR: 0.020000
Training Epoch: 24 [6912/48700]	Loss: 0.5916	LR: 0.020000
Training Epoch: 24 [7168/48700]	Loss: 0.5048	LR: 0.020000
Training Epoch: 24 [7424/48700]	Loss: 0.5924	LR: 0.020000
Training Epoch: 24 [7680/48700]	Loss: 0.5046	LR: 0.020000
Training Epoch: 24 [7936/48700]	Loss: 0.4707	LR: 0.020000
Training Epoch: 24 [8192/48700]	Loss: 0.3981	LR: 0.020000
Training Epoch: 24 [8448/48700]	Loss: 0.5111	LR: 0.020000
Training Epoch: 24 [8704/48700]	Loss: 0.5084	LR: 0.020000
Training Epoch: 24 [8960/48700]	Loss: 0.5754	LR: 0.020000
Training Epoch: 24 [9216/48700]	Loss: 0.4689	LR: 0.020000
Training Epoch: 24 [9472/48700]	Loss: 0.5440	LR: 0.020000
Training Epoch: 24 [9728/48700]	Loss: 0.4729	LR: 0.020000
Training Epoch: 24 [9984/48700]	Loss: 0.4834	LR: 0.020000
Training Epoch: 24 [10240/48700]	Loss: 0.6131	LR: 0.020000
Training Epoch: 24 [10496/48700]	Loss: 0.6090	LR: 0.020000
Training Epoch: 24 [10752/48700]	Loss: 0.5555	LR: 0.020000
Training Epoch: 24 [11008/48700]	Loss: 0.5013	LR: 0.020000
Training Epoch: 24 [11264/48700]	Loss: 0.4871	LR: 0.020000
Training Epoch: 24 [11520/48700]	Loss: 0.4706	LR: 0.020000
Training Epoch: 24 [11776/48700]	Loss: 0.5444	LR: 0.020000
Training Epoch: 24 [12032/48700]	Loss: 0.5485	LR: 0.020000
Training Epoch: 24 [12288/48700]	Loss: 0.5139	LR: 0.020000
Training Epoch: 24 [12544/48700]	Loss: 0.5285	LR: 0.020000
Training Epoch: 24 [12800/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 24 [13056/48700]	Loss: 0.4389	LR: 0.020000
Training Epoch: 24 [13312/48700]	Loss: 0.4046	LR: 0.020000
Training Epoch: 24 [13568/48700]	Loss: 0.6617	LR: 0.020000
Training Epoch: 24 [13824/48700]	Loss: 0.4755	LR: 0.020000
Training Epoch: 24 [14080/48700]	Loss: 0.5600	LR: 0.020000
Training Epoch: 24 [14336/48700]	Loss: 0.5370	LR: 0.020000
Training Epoch: 24 [14592/48700]	Loss: 0.4796	LR: 0.020000
Training Epoch: 24 [14848/48700]	Loss: 0.5801	LR: 0.020000
Training Epoch: 24 [15104/48700]	Loss: 0.4991	LR: 0.020000
Training Epoch: 24 [15360/48700]	Loss: 0.6528	LR: 0.020000
Training Epoch: 24 [15616/48700]	Loss: 0.5462	LR: 0.020000
Training Epoch: 24 [15872/48700]	Loss: 0.6256	LR: 0.020000
Training Epoch: 24 [16128/48700]	Loss: 0.6502	LR: 0.020000
Training Epoch: 24 [16384/48700]	Loss: 0.6105	LR: 0.020000
Training Epoch: 24 [16640/48700]	Loss: 0.5762	LR: 0.020000
Training Epoch: 24 [16896/48700]	Loss: 0.5811	LR: 0.020000
Training Epoch: 24 [17152/48700]	Loss: 0.5453	LR: 0.020000
Training Epoch: 24 [17408/48700]	Loss: 0.5849	LR: 0.020000
Training Epoch: 24 [17664/48700]	Loss: 0.4683	LR: 0.020000
Training Epoch: 24 [17920/48700]	Loss: 0.4967	LR: 0.020000
Training Epoch: 24 [18176/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 24 [18432/48700]	Loss: 0.5047	LR: 0.020000
Training Epoch: 24 [18688/48700]	Loss: 0.4836	LR: 0.020000
Training Epoch: 24 [18944/48700]	Loss: 0.5832	LR: 0.020000
Training Epoch: 24 [19200/48700]	Loss: 0.5647	LR: 0.020000
Training Epoch: 24 [19456/48700]	Loss: 0.5152	LR: 0.020000
Training Epoch: 24 [19712/48700]	Loss: 0.6347	LR: 0.020000
Training Epoch: 24 [19968/48700]	Loss: 0.5751	LR: 0.020000
Training Epoch: 24 [20224/48700]	Loss: 0.6419	LR: 0.020000
Training Epoch: 24 [20480/48700]	Loss: 0.5797	LR: 0.020000
Training Epoch: 24 [20736/48700]	Loss: 0.6314	LR: 0.020000
Training Epoch: 24 [20992/48700]	Loss: 0.5674	LR: 0.020000
Training Epoch: 24 [21248/48700]	Loss: 0.5474	LR: 0.020000
Training Epoch: 24 [21504/48700]	Loss: 0.6373	LR: 0.020000
Training Epoch: 24 [21760/48700]	Loss: 0.4873	LR: 0.020000
Training Epoch: 24 [22016/48700]	Loss: 0.5609	LR: 0.020000
Training Epoch: 24 [22272/48700]	Loss: 0.5416	LR: 0.020000
Training Epoch: 24 [22528/48700]	Loss: 0.5094	LR: 0.020000
Training Epoch: 24 [22784/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 24 [23040/48700]	Loss: 0.5364	LR: 0.020000
Training Epoch: 24 [23296/48700]	Loss: 0.5667	LR: 0.020000
Training Epoch: 24 [23552/48700]	Loss: 0.5102	LR: 0.020000
Training Epoch: 24 [23808/48700]	Loss: 0.5545	LR: 0.020000
Training Epoch: 24 [24064/48700]	Loss: 0.6025	LR: 0.020000
Training Epoch: 24 [24320/48700]	Loss: 0.8075	LR: 0.020000
Training Epoch: 24 [24576/48700]	Loss: 0.6087	LR: 0.020000
Training Epoch: 24 [24832/48700]	Loss: 0.5537	LR: 0.020000
Training Epoch: 24 [25088/48700]	Loss: 0.4908	LR: 0.020000
Training Epoch: 24 [25344/48700]	Loss: 0.5480	LR: 0.020000
Training Epoch: 24 [25600/48700]	Loss: 0.5010	LR: 0.020000
Training Epoch: 24 [25856/48700]	Loss: 0.5290	LR: 0.020000
Training Epoch: 24 [26112/48700]	Loss: 0.5625	LR: 0.020000
Training Epoch: 24 [26368/48700]	Loss: 0.5593	LR: 0.020000
Training Epoch: 24 [26624/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 24 [26880/48700]	Loss: 0.6064	LR: 0.020000
Training Epoch: 24 [27136/48700]	Loss: 0.4824	LR: 0.020000
Training Epoch: 24 [27392/48700]	Loss: 0.5319	LR: 0.020000
Training Epoch: 24 [27648/48700]	Loss: 0.5046	LR: 0.020000
Training Epoch: 24 [27904/48700]	Loss: 0.5598	LR: 0.020000
Training Epoch: 24 [28160/48700]	Loss: 0.5903	LR: 0.020000
Training Epoch: 24 [28416/48700]	Loss: 0.5913	LR: 0.020000
Training Epoch: 24 [28672/48700]	Loss: 0.5989	LR: 0.020000
Training Epoch: 24 [28928/48700]	Loss: 0.5432	LR: 0.020000
Training Epoch: 24 [29184/48700]	Loss: 0.5955	LR: 0.020000
Training Epoch: 24 [29440/48700]	Loss: 0.5599	LR: 0.020000
Training Epoch: 24 [29696/48700]	Loss: 0.5486	LR: 0.020000
Training Epoch: 24 [29952/48700]	Loss: 0.5921	LR: 0.020000
Training Epoch: 24 [30208/48700]	Loss: 0.5561	LR: 0.020000
Training Epoch: 24 [30464/48700]	Loss: 0.5999	LR: 0.020000
Training Epoch: 24 [30720/48700]	Loss: 0.4953	LR: 0.020000
Training Epoch: 24 [30976/48700]	Loss: 0.4803	LR: 0.020000
Training Epoch: 24 [31232/48700]	Loss: 0.5208	LR: 0.020000
Training Epoch: 24 [31488/48700]	Loss: 0.6088	LR: 0.020000
Training Epoch: 24 [31744/48700]	Loss: 0.5235	LR: 0.020000
Training Epoch: 24 [32000/48700]	Loss: 0.4944	LR: 0.020000
Training Epoch: 24 [32256/48700]	Loss: 0.7087	LR: 0.020000
Training Epoch: 24 [32512/48700]	Loss: 0.6195	LR: 0.020000
Training Epoch: 24 [32768/48700]	Loss: 0.6418	LR: 0.020000
Training Epoch: 24 [33024/48700]	Loss: 0.5506	LR: 0.020000
Training Epoch: 24 [33280/48700]	Loss: 0.5867	LR: 0.020000
Training Epoch: 24 [33536/48700]	Loss: 0.5062	LR: 0.020000
Training Epoch: 24 [33792/48700]	Loss: 0.6114	LR: 0.020000
Training Epoch: 24 [34048/48700]	Loss: 0.5732	LR: 0.020000
Training Epoch: 24 [34304/48700]	Loss: 0.5835	LR: 0.020000
Training Epoch: 24 [34560/48700]	Loss: 0.6432	LR: 0.020000
Training Epoch: 24 [34816/48700]	Loss: 0.6235	LR: 0.020000
Training Epoch: 24 [35072/48700]	Loss: 0.6672	LR: 0.020000
Training Epoch: 24 [35328/48700]	Loss: 0.4753	LR: 0.020000
Training Epoch: 24 [35584/48700]	Loss: 0.5850	LR: 0.020000
Training Epoch: 24 [35840/48700]	Loss: 0.5840	LR: 0.020000
Training Epoch: 24 [36096/48700]	Loss: 0.6356	LR: 0.020000
Training Epoch: 24 [36352/48700]	Loss: 0.5998	LR: 0.020000
Training Epoch: 24 [36608/48700]	Loss: 0.5648	LR: 0.020000
Training Epoch: 24 [36864/48700]	Loss: 0.6040	LR: 0.020000
Training Epoch: 24 [37120/48700]	Loss: 0.5854	LR: 0.020000
Training Epoch: 24 [37376/48700]	Loss: 0.5676	LR: 0.020000
Training Epoch: 24 [37632/48700]	Loss: 0.6094	LR: 0.020000
Training Epoch: 24 [37888/48700]	Loss: 0.5116	LR: 0.020000
Training Epoch: 24 [38144/48700]	Loss: 0.6940	LR: 0.020000
Training Epoch: 24 [38400/48700]	Loss: 0.5467	LR: 0.020000
Training Epoch: 24 [38656/48700]	Loss: 0.6438	LR: 0.020000
Training Epoch: 24 [38912/48700]	Loss: 0.6212	LR: 0.020000
Training Epoch: 24 [39168/48700]	Loss: 0.5950	LR: 0.020000
Training Epoch: 24 [39424/48700]	Loss: 0.5745	LR: 0.020000
Training Epoch: 24 [39680/48700]	Loss: 0.6299	LR: 0.020000
Training Epoch: 24 [39936/48700]	Loss: 0.6133	LR: 0.020000
Training Epoch: 24 [40192/48700]	Loss: 0.5439	LR: 0.020000
Training Epoch: 24 [40448/48700]	Loss: 0.5720	LR: 0.020000
Training Epoch: 24 [40704/48700]	Loss: 0.5554	LR: 0.020000
Training Epoch: 24 [40960/48700]	Loss: 0.5514	LR: 0.020000
Training Epoch: 24 [41216/48700]	Loss: 0.4988	LR: 0.020000
Training Epoch: 24 [41472/48700]	Loss: 0.5711	LR: 0.020000
Training Epoch: 24 [41728/48700]	Loss: 0.5265	LR: 0.020000
Training Epoch: 24 [41984/48700]	Loss: 0.6038	LR: 0.020000
Training Epoch: 24 [42240/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 24 [42496/48700]	Loss: 0.5810	LR: 0.020000
Training Epoch: 24 [42752/48700]	Loss: 0.7477	LR: 0.020000
Training Epoch: 24 [43008/48700]	Loss: 0.6549	LR: 0.020000
Training Epoch: 24 [43264/48700]	Loss: 0.6668	LR: 0.020000
Training Epoch: 24 [43520/48700]	Loss: 0.5825	LR: 0.020000
Training Epoch: 24 [43776/48700]	Loss: 0.6583	LR: 0.020000
Training Epoch: 24 [44032/48700]	Loss: 0.5449	LR: 0.020000
Training Epoch: 24 [44288/48700]	Loss: 0.5949	LR: 0.020000
Training Epoch: 24 [44544/48700]	Loss: 0.6231	LR: 0.020000
Training Epoch: 24 [44800/48700]	Loss: 0.5621	LR: 0.020000
Training Epoch: 24 [45056/48700]	Loss: 0.6131	LR: 0.020000
Training Epoch: 24 [45312/48700]	Loss: 0.5371	LR: 0.020000
Training Epoch: 24 [45568/48700]	Loss: 0.5244	LR: 0.020000
Training Epoch: 24 [45824/48700]	Loss: 0.5111	LR: 0.020000
Training Epoch: 24 [46080/48700]	Loss: 0.6193	LR: 0.020000
Training Epoch: 24 [46336/48700]	Loss: 0.5852	LR: 0.020000
Training Epoch: 24 [46592/48700]	Loss: 0.6396	LR: 0.020000
Training Epoch: 24 [46848/48700]	Loss: 0.5727	LR: 0.020000
Training Epoch: 24 [47104/48700]	Loss: 0.5758	LR: 0.020000
Training Epoch: 24 [47360/48700]	Loss: 0.4766	LR: 0.020000
Training Epoch: 24 [47616/48700]	Loss: 0.6860	LR: 0.020000
Training Epoch: 24 [47872/48700]	Loss: 0.7046	LR: 0.020000
Training Epoch: 24 [48128/48700]	Loss: 0.4572	LR: 0.020000
Training Epoch: 24 [48384/48700]	Loss: 0.5560	LR: 0.020000
Training Epoch: 24 [48640/48700]	Loss: 0.6470	LR: 0.020000
Training Epoch: 24 [48700/48700]	Loss: 0.8272	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5611, Train Accuracy: 0.8199
Epoch 24 training time consumed: 26.68s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0040, Accuracy: 0.7177, Time consumed:0.93s
Training Epoch: 25 [256/48700]	Loss: 0.5267	LR: 0.020000
Training Epoch: 25 [512/48700]	Loss: 0.5504	LR: 0.020000
Training Epoch: 25 [768/48700]	Loss: 0.5023	LR: 0.020000
Training Epoch: 25 [1024/48700]	Loss: 0.5124	LR: 0.020000
Training Epoch: 25 [1280/48700]	Loss: 0.4972	LR: 0.020000
Training Epoch: 25 [1536/48700]	Loss: 0.4090	LR: 0.020000
Training Epoch: 25 [1792/48700]	Loss: 0.4671	LR: 0.020000
Training Epoch: 25 [2048/48700]	Loss: 0.5869	LR: 0.020000
Training Epoch: 25 [2304/48700]	Loss: 0.5520	LR: 0.020000
Training Epoch: 25 [2560/48700]	Loss: 0.4603	LR: 0.020000
Training Epoch: 25 [2816/48700]	Loss: 0.4757	LR: 0.020000
Training Epoch: 25 [3072/48700]	Loss: 0.4622	LR: 0.020000
Training Epoch: 25 [3328/48700]	Loss: 0.5036	LR: 0.020000
Training Epoch: 25 [3584/48700]	Loss: 0.6143	LR: 0.020000
Training Epoch: 25 [3840/48700]	Loss: 0.5612	LR: 0.020000
Training Epoch: 25 [4096/48700]	Loss: 0.4937	LR: 0.020000
Training Epoch: 25 [4352/48700]	Loss: 0.5143	LR: 0.020000
Training Epoch: 25 [4608/48700]	Loss: 0.4737	LR: 0.020000
Training Epoch: 25 [4864/48700]	Loss: 0.5106	LR: 0.020000
Training Epoch: 25 [5120/48700]	Loss: 0.6305	LR: 0.020000
Training Epoch: 25 [5376/48700]	Loss: 0.4647	LR: 0.020000
Training Epoch: 25 [5632/48700]	Loss: 0.4985	LR: 0.020000
Training Epoch: 25 [5888/48700]	Loss: 0.4541	LR: 0.020000
Training Epoch: 25 [6144/48700]	Loss: 0.4509	LR: 0.020000
Training Epoch: 25 [6400/48700]	Loss: 0.5290	LR: 0.020000
Training Epoch: 25 [6656/48700]	Loss: 0.5001	LR: 0.020000
Training Epoch: 25 [6912/48700]	Loss: 0.4394	LR: 0.020000
Training Epoch: 25 [7168/48700]	Loss: 0.6176	LR: 0.020000
Training Epoch: 25 [7424/48700]	Loss: 0.4805	LR: 0.020000
Training Epoch: 25 [7680/48700]	Loss: 0.4979	LR: 0.020000
Training Epoch: 25 [7936/48700]	Loss: 0.4939	LR: 0.020000
Training Epoch: 25 [8192/48700]	Loss: 0.4727	LR: 0.020000
Training Epoch: 25 [8448/48700]	Loss: 0.6298	LR: 0.020000
Training Epoch: 25 [8704/48700]	Loss: 0.6095	LR: 0.020000
Training Epoch: 25 [8960/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 25 [9216/48700]	Loss: 0.5233	LR: 0.020000
Training Epoch: 25 [9472/48700]	Loss: 0.4978	LR: 0.020000
Training Epoch: 25 [9728/48700]	Loss: 0.5182	LR: 0.020000
Training Epoch: 25 [9984/48700]	Loss: 0.5431	LR: 0.020000
Training Epoch: 25 [10240/48700]	Loss: 0.6209	LR: 0.020000
Training Epoch: 25 [10496/48700]	Loss: 0.4599	LR: 0.020000
Training Epoch: 25 [10752/48700]	Loss: 0.5159	LR: 0.020000
Training Epoch: 25 [11008/48700]	Loss: 0.5765	LR: 0.020000
Training Epoch: 25 [11264/48700]	Loss: 0.4493	LR: 0.020000
Training Epoch: 25 [11520/48700]	Loss: 0.3980	LR: 0.020000
Training Epoch: 25 [11776/48700]	Loss: 0.5661	LR: 0.020000
Training Epoch: 25 [12032/48700]	Loss: 0.5435	LR: 0.020000
Training Epoch: 25 [12288/48700]	Loss: 0.5624	LR: 0.020000
Training Epoch: 25 [12544/48700]	Loss: 0.6612	LR: 0.020000
Training Epoch: 25 [12800/48700]	Loss: 0.5620	LR: 0.020000
Training Epoch: 25 [13056/48700]	Loss: 0.5344	LR: 0.020000
Training Epoch: 25 [13312/48700]	Loss: 0.4663	LR: 0.020000
Training Epoch: 25 [13568/48700]	Loss: 0.5176	LR: 0.020000
Training Epoch: 25 [13824/48700]	Loss: 0.6444	LR: 0.020000
Training Epoch: 25 [14080/48700]	Loss: 0.5057	LR: 0.020000
Training Epoch: 25 [14336/48700]	Loss: 0.5625	LR: 0.020000
Training Epoch: 25 [14592/48700]	Loss: 0.5781	LR: 0.020000
Training Epoch: 25 [14848/48700]	Loss: 0.6564	LR: 0.020000
Training Epoch: 25 [15104/48700]	Loss: 0.5267	LR: 0.020000
Training Epoch: 25 [15360/48700]	Loss: 0.5576	LR: 0.020000
Training Epoch: 25 [15616/48700]	Loss: 0.4726	LR: 0.020000
Training Epoch: 25 [15872/48700]	Loss: 0.5245	LR: 0.020000
Training Epoch: 25 [16128/48700]	Loss: 0.5061	LR: 0.020000
Training Epoch: 25 [16384/48700]	Loss: 0.5482	LR: 0.020000
Training Epoch: 25 [16640/48700]	Loss: 0.5567	LR: 0.020000
Training Epoch: 25 [16896/48700]	Loss: 0.5626	LR: 0.020000
Training Epoch: 25 [17152/48700]	Loss: 0.5386	LR: 0.020000
Training Epoch: 25 [17408/48700]	Loss: 0.4958	LR: 0.020000
Training Epoch: 25 [17664/48700]	Loss: 0.5539	LR: 0.020000
Training Epoch: 25 [17920/48700]	Loss: 0.5334	LR: 0.020000
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Training Epoch: 25 [18688/48700]	Loss: 0.4926	LR: 0.020000
Training Epoch: 25 [18944/48700]	Loss: 0.5335	LR: 0.020000
Training Epoch: 25 [19200/48700]	Loss: 0.5992	LR: 0.020000
Training Epoch: 25 [19456/48700]	Loss: 0.6156	LR: 0.020000
Training Epoch: 25 [19712/48700]	Loss: 0.5495	LR: 0.020000
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Training Epoch: 25 [20736/48700]	Loss: 0.6202	LR: 0.020000
Training Epoch: 25 [20992/48700]	Loss: 0.6085	LR: 0.020000
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Training Epoch: 25 [21504/48700]	Loss: 0.5965	LR: 0.020000
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Training Epoch: 25 [22016/48700]	Loss: 0.5401	LR: 0.020000
Training Epoch: 25 [22272/48700]	Loss: 0.5270	LR: 0.020000
Training Epoch: 25 [22528/48700]	Loss: 0.5469	LR: 0.020000
Training Epoch: 25 [22784/48700]	Loss: 0.4698	LR: 0.020000
Training Epoch: 25 [23040/48700]	Loss: 0.6049	LR: 0.020000
Training Epoch: 25 [23296/48700]	Loss: 0.4982	LR: 0.020000
Training Epoch: 25 [23552/48700]	Loss: 0.5426	LR: 0.020000
Training Epoch: 25 [23808/48700]	Loss: 0.5636	LR: 0.020000
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Training Epoch: 25 [24320/48700]	Loss: 0.5484	LR: 0.020000
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Training Epoch: 25 [25344/48700]	Loss: 0.5641	LR: 0.020000
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Training Epoch: 25 [25856/48700]	Loss: 0.5989	LR: 0.020000
Training Epoch: 25 [26112/48700]	Loss: 0.4967	LR: 0.020000
Training Epoch: 25 [26368/48700]	Loss: 0.7024	LR: 0.020000
Training Epoch: 25 [26624/48700]	Loss: 0.5210	LR: 0.020000
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Training Epoch: 25 [27136/48700]	Loss: 0.6939	LR: 0.020000
Training Epoch: 25 [27392/48700]	Loss: 0.5721	LR: 0.020000
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Training Epoch: 25 [27904/48700]	Loss: 0.5227	LR: 0.020000
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Training Epoch: 25 [28672/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 25 [28928/48700]	Loss: 0.5827	LR: 0.020000
Training Epoch: 25 [29184/48700]	Loss: 0.5765	LR: 0.020000
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Training Epoch: 25 [29952/48700]	Loss: 0.5386	LR: 0.020000
Training Epoch: 25 [30208/48700]	Loss: 0.5334	LR: 0.020000
Training Epoch: 25 [30464/48700]	Loss: 0.6773	LR: 0.020000
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Training Epoch: 25 [31232/48700]	Loss: 0.6000	LR: 0.020000
Training Epoch: 25 [31488/48700]	Loss: 0.5367	LR: 0.020000
Training Epoch: 25 [31744/48700]	Loss: 0.4514	LR: 0.020000
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Training Epoch: 25 [32768/48700]	Loss: 0.6033	LR: 0.020000
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Training Epoch: 25 [33536/48700]	Loss: 0.6547	LR: 0.020000
Training Epoch: 25 [33792/48700]	Loss: 0.5468	LR: 0.020000
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Training Epoch: 25 [36352/48700]	Loss: 0.5918	LR: 0.020000
Training Epoch: 25 [36608/48700]	Loss: 0.5312	LR: 0.020000
Training Epoch: 25 [36864/48700]	Loss: 0.5745	LR: 0.020000
Training Epoch: 25 [37120/48700]	Loss: 0.6544	LR: 0.020000
Training Epoch: 25 [37376/48700]	Loss: 0.5107	LR: 0.020000
Training Epoch: 25 [37632/48700]	Loss: 0.6530	LR: 0.020000
Training Epoch: 25 [37888/48700]	Loss: 0.5015	LR: 0.020000
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Training Epoch: 25 [38400/48700]	Loss: 0.5331	LR: 0.020000
Training Epoch: 25 [38656/48700]	Loss: 0.5565	LR: 0.020000
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Training Epoch: 25 [39168/48700]	Loss: 0.6895	LR: 0.020000
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Training Epoch: 25 [39936/48700]	Loss: 0.6137	LR: 0.020000
Training Epoch: 25 [40192/48700]	Loss: 0.4908	LR: 0.020000
Training Epoch: 25 [40448/48700]	Loss: 0.5217	LR: 0.020000
Training Epoch: 25 [40704/48700]	Loss: 0.5861	LR: 0.020000
Training Epoch: 25 [40960/48700]	Loss: 0.6195	LR: 0.020000
Training Epoch: 25 [41216/48700]	Loss: 0.6428	LR: 0.020000
Training Epoch: 25 [41472/48700]	Loss: 0.6030	LR: 0.020000
Training Epoch: 25 [41728/48700]	Loss: 0.5874	LR: 0.020000
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Training Epoch: 25 [42240/48700]	Loss: 0.6081	LR: 0.020000
Training Epoch: 25 [42496/48700]	Loss: 0.5299	LR: 0.020000
Training Epoch: 25 [42752/48700]	Loss: 0.6566	LR: 0.020000
Training Epoch: 25 [43008/48700]	Loss: 0.6451	LR: 0.020000
Training Epoch: 25 [43264/48700]	Loss: 0.5293	LR: 0.020000
Training Epoch: 25 [43520/48700]	Loss: 0.5681	LR: 0.020000
Training Epoch: 25 [43776/48700]	Loss: 0.6166	LR: 0.020000
Training Epoch: 25 [44032/48700]	Loss: 0.6313	LR: 0.020000
Training Epoch: 25 [44288/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 25 [44544/48700]	Loss: 0.4524	LR: 0.020000
Training Epoch: 25 [44800/48700]	Loss: 0.4745	LR: 0.020000
Training Epoch: 25 [45056/48700]	Loss: 0.6283	LR: 0.020000
Training Epoch: 25 [45312/48700]	Loss: 0.5194	LR: 0.020000
Training Epoch: 25 [45568/48700]	Loss: 0.5948	LR: 0.020000
Training Epoch: 25 [45824/48700]	Loss: 0.6216	LR: 0.020000
Training Epoch: 25 [46080/48700]	Loss: 0.6477	LR: 0.020000
Training Epoch: 25 [46336/48700]	Loss: 0.5669	LR: 0.020000
Training Epoch: 25 [46592/48700]	Loss: 0.6352	LR: 0.020000
Training Epoch: 25 [46848/48700]	Loss: 0.5557	LR: 0.020000
Training Epoch: 25 [47104/48700]	Loss: 0.5121	LR: 0.020000
Training Epoch: 25 [47360/48700]	Loss: 0.5465	LR: 0.020000
Training Epoch: 25 [47616/48700]	Loss: 0.5752	LR: 0.020000
Training Epoch: 25 [47872/48700]	Loss: 0.4965	LR: 0.020000
Training Epoch: 25 [48128/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 25 [48384/48700]	Loss: 0.5901	LR: 0.020000
Training Epoch: 25 [48640/48700]	Loss: 0.5846	LR: 0.020000
Training Epoch: 25 [48700/48700]	Loss: 0.7693	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5515, Train Accuracy: 0.8217
Epoch 25 training time consumed: 26.92s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0037, Accuracy: 0.7315, Time consumed:0.88s
Training Epoch: 26 [256/48700]	Loss: 0.5122	LR: 0.020000
Training Epoch: 26 [512/48700]	Loss: 0.6367	LR: 0.020000
Training Epoch: 26 [768/48700]	Loss: 0.4623	LR: 0.020000
Training Epoch: 26 [1024/48700]	Loss: 0.5138	LR: 0.020000
Training Epoch: 26 [1280/48700]	Loss: 0.5484	LR: 0.020000
Training Epoch: 26 [1536/48700]	Loss: 0.5688	LR: 0.020000
Training Epoch: 26 [1792/48700]	Loss: 0.5649	LR: 0.020000
Training Epoch: 26 [2048/48700]	Loss: 0.4962	LR: 0.020000
Training Epoch: 26 [2304/48700]	Loss: 0.5224	LR: 0.020000
Training Epoch: 26 [2560/48700]	Loss: 0.5531	LR: 0.020000
Training Epoch: 26 [2816/48700]	Loss: 0.4779	LR: 0.020000
Training Epoch: 26 [3072/48700]	Loss: 0.5964	LR: 0.020000
Training Epoch: 26 [3328/48700]	Loss: 0.6163	LR: 0.020000
Training Epoch: 26 [3584/48700]	Loss: 0.4697	LR: 0.020000
Training Epoch: 26 [3840/48700]	Loss: 0.4937	LR: 0.020000
Training Epoch: 26 [4096/48700]	Loss: 0.4794	LR: 0.020000
Training Epoch: 26 [4352/48700]	Loss: 0.6462	LR: 0.020000
Training Epoch: 26 [4608/48700]	Loss: 0.4680	LR: 0.020000
Training Epoch: 26 [4864/48700]	Loss: 0.4401	LR: 0.020000
Training Epoch: 26 [5120/48700]	Loss: 0.5818	LR: 0.020000
Training Epoch: 26 [5376/48700]	Loss: 0.4759	LR: 0.020000
Training Epoch: 26 [5632/48700]	Loss: 0.5523	LR: 0.020000
Training Epoch: 26 [5888/48700]	Loss: 0.4896	LR: 0.020000
Training Epoch: 26 [6144/48700]	Loss: 0.4415	LR: 0.020000
Training Epoch: 26 [6400/48700]	Loss: 0.5322	LR: 0.020000
Training Epoch: 26 [6656/48700]	Loss: 0.4833	LR: 0.020000
Training Epoch: 26 [6912/48700]	Loss: 0.5690	LR: 0.020000
Training Epoch: 26 [7168/48700]	Loss: 0.5505	LR: 0.020000
Training Epoch: 26 [7424/48700]	Loss: 0.6052	LR: 0.020000
Training Epoch: 26 [7680/48700]	Loss: 0.5455	LR: 0.020000
Training Epoch: 26 [7936/48700]	Loss: 0.5349	LR: 0.020000
Training Epoch: 26 [8192/48700]	Loss: 0.5869	LR: 0.020000
Training Epoch: 26 [8448/48700]	Loss: 0.5823	LR: 0.020000
Training Epoch: 26 [8704/48700]	Loss: 0.5010	LR: 0.020000
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Training Epoch: 26 [9472/48700]	Loss: 0.5748	LR: 0.020000
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Training Epoch: 26 [9984/48700]	Loss: 0.5795	LR: 0.020000
Training Epoch: 26 [10240/48700]	Loss: 0.5419	LR: 0.020000
Training Epoch: 26 [10496/48700]	Loss: 0.6209	LR: 0.020000
Training Epoch: 26 [10752/48700]	Loss: 0.5875	LR: 0.020000
Training Epoch: 26 [11008/48700]	Loss: 0.4944	LR: 0.020000
Training Epoch: 26 [11264/48700]	Loss: 0.5547	LR: 0.020000
Training Epoch: 26 [11520/48700]	Loss: 0.4793	LR: 0.020000
Training Epoch: 26 [11776/48700]	Loss: 0.6233	LR: 0.020000
Training Epoch: 26 [12032/48700]	Loss: 0.4730	LR: 0.020000
Training Epoch: 26 [12288/48700]	Loss: 0.4618	LR: 0.020000
Training Epoch: 26 [12544/48700]	Loss: 0.5026	LR: 0.020000
Training Epoch: 26 [12800/48700]	Loss: 0.5273	LR: 0.020000
Training Epoch: 26 [13056/48700]	Loss: 0.5106	LR: 0.020000
Training Epoch: 26 [13312/48700]	Loss: 0.4635	LR: 0.020000
Training Epoch: 26 [13568/48700]	Loss: 0.5483	LR: 0.020000
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Training Epoch: 26 [14080/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 26 [14336/48700]	Loss: 0.4747	LR: 0.020000
Training Epoch: 26 [14592/48700]	Loss: 0.4644	LR: 0.020000
Training Epoch: 26 [14848/48700]	Loss: 0.6076	LR: 0.020000
Training Epoch: 26 [15104/48700]	Loss: 0.5687	LR: 0.020000
Training Epoch: 26 [15360/48700]	Loss: 0.5245	LR: 0.020000
Training Epoch: 26 [15616/48700]	Loss: 0.4444	LR: 0.020000
Training Epoch: 26 [15872/48700]	Loss: 0.4894	LR: 0.020000
Training Epoch: 26 [16128/48700]	Loss: 0.5141	LR: 0.020000
Training Epoch: 26 [16384/48700]	Loss: 0.4503	LR: 0.020000
Training Epoch: 26 [16640/48700]	Loss: 0.4923	LR: 0.020000
Training Epoch: 26 [16896/48700]	Loss: 0.5024	LR: 0.020000
Training Epoch: 26 [17152/48700]	Loss: 0.6107	LR: 0.020000
Training Epoch: 26 [17408/48700]	Loss: 0.4898	LR: 0.020000
Training Epoch: 26 [17664/48700]	Loss: 0.5149	LR: 0.020000
Training Epoch: 26 [17920/48700]	Loss: 0.5812	LR: 0.020000
Training Epoch: 26 [18176/48700]	Loss: 0.5273	LR: 0.020000
Training Epoch: 26 [18432/48700]	Loss: 0.5569	LR: 0.020000
Training Epoch: 26 [18688/48700]	Loss: 0.5438	LR: 0.020000
Training Epoch: 26 [18944/48700]	Loss: 0.4004	LR: 0.020000
Training Epoch: 26 [19200/48700]	Loss: 0.6690	LR: 0.020000
Training Epoch: 26 [19456/48700]	Loss: 0.6245	LR: 0.020000
Training Epoch: 26 [19712/48700]	Loss: 0.5081	LR: 0.020000
Training Epoch: 26 [19968/48700]	Loss: 0.5910	LR: 0.020000
Training Epoch: 26 [20224/48700]	Loss: 0.6193	LR: 0.020000
Training Epoch: 26 [20480/48700]	Loss: 0.6339	LR: 0.020000
Training Epoch: 26 [20736/48700]	Loss: 0.6104	LR: 0.020000
Training Epoch: 26 [20992/48700]	Loss: 0.5737	LR: 0.020000
Training Epoch: 26 [21248/48700]	Loss: 0.4827	LR: 0.020000
Training Epoch: 26 [21504/48700]	Loss: 0.5926	LR: 0.020000
Training Epoch: 26 [21760/48700]	Loss: 0.5914	LR: 0.020000
Training Epoch: 26 [22016/48700]	Loss: 0.4879	LR: 0.020000
Training Epoch: 26 [22272/48700]	Loss: 0.5069	LR: 0.020000
Training Epoch: 26 [22528/48700]	Loss: 0.4603	LR: 0.020000
Training Epoch: 26 [22784/48700]	Loss: 0.5547	LR: 0.020000
Training Epoch: 26 [23040/48700]	Loss: 0.3876	LR: 0.020000
Training Epoch: 26 [23296/48700]	Loss: 0.6378	LR: 0.020000
Training Epoch: 26 [23552/48700]	Loss: 0.4389	LR: 0.020000
Training Epoch: 26 [23808/48700]	Loss: 0.5262	LR: 0.020000
Training Epoch: 26 [24064/48700]	Loss: 0.5271	LR: 0.020000
Training Epoch: 26 [24320/48700]	Loss: 0.4849	LR: 0.020000
Training Epoch: 26 [24576/48700]	Loss: 0.5074	LR: 0.020000
Training Epoch: 26 [24832/48700]	Loss: 0.5200	LR: 0.020000
Training Epoch: 26 [25088/48700]	Loss: 0.5152	LR: 0.020000
Training Epoch: 26 [25344/48700]	Loss: 0.4341	LR: 0.020000
Training Epoch: 26 [25600/48700]	Loss: 0.6245	LR: 0.020000
Training Epoch: 26 [25856/48700]	Loss: 0.4874	LR: 0.020000
Training Epoch: 26 [26112/48700]	Loss: 0.4898	LR: 0.020000
Training Epoch: 26 [26368/48700]	Loss: 0.5534	LR: 0.020000
Training Epoch: 26 [26624/48700]	Loss: 0.4821	LR: 0.020000
Training Epoch: 26 [26880/48700]	Loss: 0.5104	LR: 0.020000
Training Epoch: 26 [27136/48700]	Loss: 0.5228	LR: 0.020000
Training Epoch: 26 [27392/48700]	Loss: 0.5056	LR: 0.020000
Training Epoch: 26 [27648/48700]	Loss: 0.6045	LR: 0.020000
Training Epoch: 26 [27904/48700]	Loss: 0.5372	LR: 0.020000
Training Epoch: 26 [28160/48700]	Loss: 0.5109	LR: 0.020000
Training Epoch: 26 [28416/48700]	Loss: 0.6171	LR: 0.020000
Training Epoch: 26 [28672/48700]	Loss: 0.5765	LR: 0.020000
Training Epoch: 26 [28928/48700]	Loss: 0.5017	LR: 0.020000
Training Epoch: 26 [29184/48700]	Loss: 0.5336	LR: 0.020000
Training Epoch: 26 [29440/48700]	Loss: 0.5476	LR: 0.020000
Training Epoch: 26 [29696/48700]	Loss: 0.5200	LR: 0.020000
Training Epoch: 26 [29952/48700]	Loss: 0.6163	LR: 0.020000
Training Epoch: 26 [30208/48700]	Loss: 0.5376	LR: 0.020000
Training Epoch: 26 [30464/48700]	Loss: 0.5796	LR: 0.020000
Training Epoch: 26 [30720/48700]	Loss: 0.5808	LR: 0.020000
Training Epoch: 26 [30976/48700]	Loss: 0.6078	LR: 0.020000
Training Epoch: 26 [31232/48700]	Loss: 0.5329	LR: 0.020000
Training Epoch: 26 [31488/48700]	Loss: 0.4202	LR: 0.020000
Training Epoch: 26 [31744/48700]	Loss: 0.5785	LR: 0.020000
Training Epoch: 26 [32000/48700]	Loss: 0.6195	LR: 0.020000
Training Epoch: 26 [32256/48700]	Loss: 0.5488	LR: 0.020000
Training Epoch: 26 [32512/48700]	Loss: 0.5589	LR: 0.020000
Training Epoch: 26 [32768/48700]	Loss: 0.6299	LR: 0.020000
Training Epoch: 26 [33024/48700]	Loss: 0.5891	LR: 0.020000
Training Epoch: 26 [33280/48700]	Loss: 0.6744	LR: 0.020000
Training Epoch: 26 [33536/48700]	Loss: 0.5975	LR: 0.020000
Training Epoch: 26 [33792/48700]	Loss: 0.5202	LR: 0.020000
Training Epoch: 26 [34048/48700]	Loss: 0.5422	LR: 0.020000
Training Epoch: 26 [34304/48700]	Loss: 0.5659	LR: 0.020000
Training Epoch: 26 [34560/48700]	Loss: 0.5523	LR: 0.020000
Training Epoch: 26 [34816/48700]	Loss: 0.6473	LR: 0.020000
Training Epoch: 26 [35072/48700]	Loss: 0.6539	LR: 0.020000
Training Epoch: 26 [35328/48700]	Loss: 0.6567	LR: 0.020000
Training Epoch: 26 [35584/48700]	Loss: 0.6001	LR: 0.020000
Training Epoch: 26 [35840/48700]	Loss: 0.5425	LR: 0.020000
Training Epoch: 26 [36096/48700]	Loss: 0.5728	LR: 0.020000
Training Epoch: 26 [36352/48700]	Loss: 0.5881	LR: 0.020000
Training Epoch: 26 [36608/48700]	Loss: 0.6203	LR: 0.020000
Training Epoch: 26 [36864/48700]	Loss: 0.6023	LR: 0.020000
Training Epoch: 26 [37120/48700]	Loss: 0.5225	LR: 0.020000
Training Epoch: 26 [37376/48700]	Loss: 0.4644	LR: 0.020000
Training Epoch: 26 [37632/48700]	Loss: 0.5642	LR: 0.020000
Training Epoch: 26 [37888/48700]	Loss: 0.4009	LR: 0.020000
Training Epoch: 26 [38144/48700]	Loss: 0.5251	LR: 0.020000
Training Epoch: 26 [38400/48700]	Loss: 0.4841	LR: 0.020000
Training Epoch: 26 [38656/48700]	Loss: 0.4834	LR: 0.020000
Training Epoch: 26 [38912/48700]	Loss: 0.5246	LR: 0.020000
Training Epoch: 26 [39168/48700]	Loss: 0.6091	LR: 0.020000
Training Epoch: 26 [39424/48700]	Loss: 0.5287	LR: 0.020000
Training Epoch: 26 [39680/48700]	Loss: 0.6392	LR: 0.020000
Training Epoch: 26 [39936/48700]	Loss: 0.5201	LR: 0.020000
Training Epoch: 26 [40192/48700]	Loss: 0.6201	LR: 0.020000
Training Epoch: 26 [40448/48700]	Loss: 0.6686	LR: 0.020000
Training Epoch: 26 [40704/48700]	Loss: 0.6966	LR: 0.020000
Training Epoch: 26 [40960/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 26 [41216/48700]	Loss: 0.6907	LR: 0.020000
Training Epoch: 26 [41472/48700]	Loss: 0.5359	LR: 0.020000
Training Epoch: 26 [41728/48700]	Loss: 0.5647	LR: 0.020000
Training Epoch: 26 [41984/48700]	Loss: 0.5234	LR: 0.020000
Training Epoch: 26 [42240/48700]	Loss: 0.5492	LR: 0.020000
Training Epoch: 26 [42496/48700]	Loss: 0.4916	LR: 0.020000
Training Epoch: 26 [42752/48700]	Loss: 0.6363	LR: 0.020000
Training Epoch: 26 [43008/48700]	Loss: 0.5785	LR: 0.020000
Training Epoch: 26 [43264/48700]	Loss: 0.7253	LR: 0.020000
Training Epoch: 26 [43520/48700]	Loss: 0.6061	LR: 0.020000
Training Epoch: 26 [43776/48700]	Loss: 0.5436	LR: 0.020000
Training Epoch: 26 [44032/48700]	Loss: 0.5399	LR: 0.020000
Training Epoch: 26 [44288/48700]	Loss: 0.5001	LR: 0.020000
Training Epoch: 26 [44544/48700]	Loss: 0.5734	LR: 0.020000
Training Epoch: 26 [44800/48700]	Loss: 0.6503	LR: 0.020000
Training Epoch: 26 [45056/48700]	Loss: 0.6160	LR: 0.020000
Training Epoch: 26 [45312/48700]	Loss: 0.6873	LR: 0.020000
Training Epoch: 26 [45568/48700]	Loss: 0.6172	LR: 0.020000
Training Epoch: 26 [45824/48700]	Loss: 0.6383	LR: 0.020000
Training Epoch: 26 [46080/48700]	Loss: 0.4928	LR: 0.020000
Training Epoch: 26 [46336/48700]	Loss: 0.5088	LR: 0.020000
Training Epoch: 26 [46592/48700]	Loss: 0.5127	LR: 0.020000
Training Epoch: 26 [46848/48700]	Loss: 0.6482	LR: 0.020000
Training Epoch: 26 [47104/48700]	Loss: 0.4765	LR: 0.020000
Training Epoch: 26 [47360/48700]	Loss: 0.5847	LR: 0.020000
Training Epoch: 26 [47616/48700]	Loss: 0.5426	LR: 0.020000
Training Epoch: 26 [47872/48700]	Loss: 0.6069	LR: 0.020000
Training Epoch: 26 [48128/48700]	Loss: 0.5673	LR: 0.020000
Training Epoch: 26 [48384/48700]	Loss: 0.4614	LR: 0.020000
Training Epoch: 26 [48640/48700]	Loss: 0.6131	LR: 0.020000
Training Epoch: 26 [48700/48700]	Loss: 0.7308	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5471, Train Accuracy: 0.8219
Epoch 26 training time consumed: 26.80s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0036, Accuracy: 0.7405, Time consumed:0.96s
Training Epoch: 27 [256/48700]	Loss: 0.3867	LR: 0.020000
Training Epoch: 27 [512/48700]	Loss: 0.4350	LR: 0.020000
Training Epoch: 27 [768/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 27 [1024/48700]	Loss: 0.5213	LR: 0.020000
Training Epoch: 27 [1280/48700]	Loss: 0.5793	LR: 0.020000
Training Epoch: 27 [1536/48700]	Loss: 0.4753	LR: 0.020000
Training Epoch: 27 [1792/48700]	Loss: 0.6231	LR: 0.020000
Training Epoch: 27 [2048/48700]	Loss: 0.6841	LR: 0.020000
Training Epoch: 27 [2304/48700]	Loss: 0.3904	LR: 0.020000
Training Epoch: 27 [2560/48700]	Loss: 0.6071	LR: 0.020000
Training Epoch: 27 [2816/48700]	Loss: 0.6261	LR: 0.020000
Training Epoch: 27 [3072/48700]	Loss: 0.4852	LR: 0.020000
Training Epoch: 27 [3328/48700]	Loss: 0.5872	LR: 0.020000
Training Epoch: 27 [3584/48700]	Loss: 0.5474	LR: 0.020000
Training Epoch: 27 [3840/48700]	Loss: 0.5968	LR: 0.020000
Training Epoch: 27 [4096/48700]	Loss: 0.5033	LR: 0.020000
Training Epoch: 27 [4352/48700]	Loss: 0.4464	LR: 0.020000
Training Epoch: 27 [4608/48700]	Loss: 0.5827	LR: 0.020000
Training Epoch: 27 [4864/48700]	Loss: 0.5853	LR: 0.020000
Training Epoch: 27 [5120/48700]	Loss: 0.4181	LR: 0.020000
Training Epoch: 27 [5376/48700]	Loss: 0.5015	LR: 0.020000
Training Epoch: 27 [5632/48700]	Loss: 0.3772	LR: 0.020000
Training Epoch: 27 [5888/48700]	Loss: 0.5763	LR: 0.020000
Training Epoch: 27 [6144/48700]	Loss: 0.4244	LR: 0.020000
Training Epoch: 27 [6400/48700]	Loss: 0.5883	LR: 0.020000
Training Epoch: 27 [6656/48700]	Loss: 0.5563	LR: 0.020000
Training Epoch: 27 [6912/48700]	Loss: 0.5201	LR: 0.020000
Training Epoch: 27 [7168/48700]	Loss: 0.4976	LR: 0.020000
Training Epoch: 27 [7424/48700]	Loss: 0.6443	LR: 0.020000
Training Epoch: 27 [7680/48700]	Loss: 0.5563	LR: 0.020000
Training Epoch: 27 [7936/48700]	Loss: 0.5761	LR: 0.020000
Training Epoch: 27 [8192/48700]	Loss: 0.5425	LR: 0.020000
Training Epoch: 27 [8448/48700]	Loss: 0.6517	LR: 0.020000
Training Epoch: 27 [8704/48700]	Loss: 0.5482	LR: 0.020000
Training Epoch: 27 [8960/48700]	Loss: 0.4973	LR: 0.020000
Training Epoch: 27 [9216/48700]	Loss: 0.4353	LR: 0.020000
Training Epoch: 27 [9472/48700]	Loss: 0.4277	LR: 0.020000
Training Epoch: 27 [9728/48700]	Loss: 0.5071	LR: 0.020000
Training Epoch: 27 [9984/48700]	Loss: 0.6027	LR: 0.020000
Training Epoch: 27 [10240/48700]	Loss: 0.5006	LR: 0.020000
Training Epoch: 27 [10496/48700]	Loss: 0.5258	LR: 0.020000
Training Epoch: 27 [10752/48700]	Loss: 0.5240	LR: 0.020000
Training Epoch: 27 [11008/48700]	Loss: 0.5324	LR: 0.020000
Training Epoch: 27 [11264/48700]	Loss: 0.5892	LR: 0.020000
Training Epoch: 27 [11520/48700]	Loss: 0.4653	LR: 0.020000
Training Epoch: 27 [11776/48700]	Loss: 0.5916	LR: 0.020000
Training Epoch: 27 [12032/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 27 [12288/48700]	Loss: 0.4928	LR: 0.020000
Training Epoch: 27 [12544/48700]	Loss: 0.5045	LR: 0.020000
Training Epoch: 27 [12800/48700]	Loss: 0.4866	LR: 0.020000
Training Epoch: 27 [13056/48700]	Loss: 0.5423	LR: 0.020000
Training Epoch: 27 [13312/48700]	Loss: 0.4740	LR: 0.020000
Training Epoch: 27 [13568/48700]	Loss: 0.4759	LR: 0.020000
Training Epoch: 27 [13824/48700]	Loss: 0.5876	LR: 0.020000
Training Epoch: 27 [14080/48700]	Loss: 0.5597	LR: 0.020000
Training Epoch: 27 [14336/48700]	Loss: 0.5376	LR: 0.020000
Training Epoch: 27 [14592/48700]	Loss: 0.5401	LR: 0.020000
Training Epoch: 27 [14848/48700]	Loss: 0.5725	LR: 0.020000
Training Epoch: 27 [15104/48700]	Loss: 0.4588	LR: 0.020000
Training Epoch: 27 [15360/48700]	Loss: 0.4683	LR: 0.020000
Training Epoch: 27 [15616/48700]	Loss: 0.4507	LR: 0.020000
Training Epoch: 27 [15872/48700]	Loss: 0.5574	LR: 0.020000
Training Epoch: 27 [16128/48700]	Loss: 0.5718	LR: 0.020000
Training Epoch: 27 [16384/48700]	Loss: 0.3671	LR: 0.020000
Training Epoch: 27 [16640/48700]	Loss: 0.5121	LR: 0.020000
Training Epoch: 27 [16896/48700]	Loss: 0.6180	LR: 0.020000
Training Epoch: 27 [17152/48700]	Loss: 0.5126	LR: 0.020000
Training Epoch: 27 [17408/48700]	Loss: 0.5558	LR: 0.020000
Training Epoch: 27 [17664/48700]	Loss: 0.5353	LR: 0.020000
Training Epoch: 27 [17920/48700]	Loss: 0.4207	LR: 0.020000
Training Epoch: 27 [18176/48700]	Loss: 0.5216	LR: 0.020000
Training Epoch: 27 [18432/48700]	Loss: 0.4656	LR: 0.020000
Training Epoch: 27 [18688/48700]	Loss: 0.4081	LR: 0.020000
Training Epoch: 27 [18944/48700]	Loss: 0.5190	LR: 0.020000
Training Epoch: 27 [19200/48700]	Loss: 0.4191	LR: 0.020000
Training Epoch: 27 [19456/48700]	Loss: 0.4733	LR: 0.020000
Training Epoch: 27 [19712/48700]	Loss: 0.6346	LR: 0.020000
Training Epoch: 27 [19968/48700]	Loss: 0.4258	LR: 0.020000
Training Epoch: 27 [20224/48700]	Loss: 0.5649	LR: 0.020000
Training Epoch: 27 [20480/48700]	Loss: 0.5590	LR: 0.020000
Training Epoch: 27 [20736/48700]	Loss: 0.5738	LR: 0.020000
Training Epoch: 27 [20992/48700]	Loss: 0.4741	LR: 0.020000
Training Epoch: 27 [21248/48700]	Loss: 0.4756	LR: 0.020000
Training Epoch: 27 [21504/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 27 [21760/48700]	Loss: 0.4902	LR: 0.020000
Training Epoch: 27 [22016/48700]	Loss: 0.6168	LR: 0.020000
Training Epoch: 27 [22272/48700]	Loss: 0.5325	LR: 0.020000
Training Epoch: 27 [22528/48700]	Loss: 0.5327	LR: 0.020000
Training Epoch: 27 [22784/48700]	Loss: 0.5137	LR: 0.020000
Training Epoch: 27 [23040/48700]	Loss: 0.4902	LR: 0.020000
Training Epoch: 27 [23296/48700]	Loss: 0.6014	LR: 0.020000
Training Epoch: 27 [23552/48700]	Loss: 0.4513	LR: 0.020000
Training Epoch: 27 [23808/48700]	Loss: 0.6165	LR: 0.020000
Training Epoch: 27 [24064/48700]	Loss: 0.5337	LR: 0.020000
Training Epoch: 27 [24320/48700]	Loss: 0.5054	LR: 0.020000
Training Epoch: 27 [24576/48700]	Loss: 0.5705	LR: 0.020000
Training Epoch: 27 [24832/48700]	Loss: 0.4995	LR: 0.020000
Training Epoch: 27 [25088/48700]	Loss: 0.5368	LR: 0.020000
Training Epoch: 27 [25344/48700]	Loss: 0.5293	LR: 0.020000
Training Epoch: 27 [25600/48700]	Loss: 0.6167	LR: 0.020000
Training Epoch: 27 [25856/48700]	Loss: 0.5965	LR: 0.020000
Training Epoch: 27 [26112/48700]	Loss: 0.4080	LR: 0.020000
Training Epoch: 27 [26368/48700]	Loss: 0.5239	LR: 0.020000
Training Epoch: 27 [26624/48700]	Loss: 0.5398	LR: 0.020000
Training Epoch: 27 [26880/48700]	Loss: 0.6474	LR: 0.020000
Training Epoch: 27 [27136/48700]	Loss: 0.5139	LR: 0.020000
Training Epoch: 27 [27392/48700]	Loss: 0.5519	LR: 0.020000
Training Epoch: 27 [27648/48700]	Loss: 0.5062	LR: 0.020000
Training Epoch: 27 [27904/48700]	Loss: 0.4928	LR: 0.020000
Training Epoch: 27 [28160/48700]	Loss: 0.4880	LR: 0.020000
Training Epoch: 27 [28416/48700]	Loss: 0.5281	LR: 0.020000
Training Epoch: 27 [28672/48700]	Loss: 0.5686	LR: 0.020000
Training Epoch: 27 [28928/48700]	Loss: 0.4860	LR: 0.020000
Training Epoch: 27 [29184/48700]	Loss: 0.5727	LR: 0.020000
Training Epoch: 27 [29440/48700]	Loss: 0.5355	LR: 0.020000
Training Epoch: 27 [29696/48700]	Loss: 0.4784	LR: 0.020000
Training Epoch: 27 [29952/48700]	Loss: 0.6183	LR: 0.020000
Training Epoch: 27 [30208/48700]	Loss: 0.4573	LR: 0.020000
Training Epoch: 27 [30464/48700]	Loss: 0.4039	LR: 0.020000
Training Epoch: 27 [30720/48700]	Loss: 0.4979	LR: 0.020000
Training Epoch: 27 [30976/48700]	Loss: 0.6054	LR: 0.020000
Training Epoch: 27 [31232/48700]	Loss: 0.4444	LR: 0.020000
Training Epoch: 27 [31488/48700]	Loss: 0.4718	LR: 0.020000
Training Epoch: 27 [31744/48700]	Loss: 0.4918	LR: 0.020000
Training Epoch: 27 [32000/48700]	Loss: 0.4810	LR: 0.020000
Training Epoch: 27 [32256/48700]	Loss: 0.5084	LR: 0.020000
Training Epoch: 27 [32512/48700]	Loss: 0.5476	LR: 0.020000
Training Epoch: 27 [32768/48700]	Loss: 0.5235	LR: 0.020000
Training Epoch: 27 [33024/48700]	Loss: 0.5597	LR: 0.020000
Training Epoch: 27 [33280/48700]	Loss: 0.5365	LR: 0.020000
Training Epoch: 27 [33536/48700]	Loss: 0.3914	LR: 0.020000
Training Epoch: 27 [33792/48700]	Loss: 0.4874	LR: 0.020000
Training Epoch: 27 [34048/48700]	Loss: 0.4621	LR: 0.020000
Training Epoch: 27 [34304/48700]	Loss: 0.5592	LR: 0.020000
Training Epoch: 27 [34560/48700]	Loss: 0.5497	LR: 0.020000
Training Epoch: 27 [34816/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 27 [35072/48700]	Loss: 0.5027	LR: 0.020000
Training Epoch: 27 [35328/48700]	Loss: 0.6308	LR: 0.020000
Training Epoch: 27 [35584/48700]	Loss: 0.5491	LR: 0.020000
Training Epoch: 27 [35840/48700]	Loss: 0.5335	LR: 0.020000
Training Epoch: 27 [36096/48700]	Loss: 0.4941	LR: 0.020000
Training Epoch: 27 [36352/48700]	Loss: 0.4326	LR: 0.020000
Training Epoch: 27 [36608/48700]	Loss: 0.4985	LR: 0.020000
Training Epoch: 27 [36864/48700]	Loss: 0.4783	LR: 0.020000
Training Epoch: 27 [37120/48700]	Loss: 0.6203	LR: 0.020000
Training Epoch: 27 [37376/48700]	Loss: 0.4773	LR: 0.020000
Training Epoch: 27 [37632/48700]	Loss: 0.5779	LR: 0.020000
Training Epoch: 27 [37888/48700]	Loss: 0.5721	LR: 0.020000
Training Epoch: 27 [38144/48700]	Loss: 0.6685	LR: 0.020000
Training Epoch: 27 [38400/48700]	Loss: 0.5252	LR: 0.020000
Training Epoch: 27 [38656/48700]	Loss: 0.5744	LR: 0.020000
Training Epoch: 27 [38912/48700]	Loss: 0.6569	LR: 0.020000
Training Epoch: 27 [39168/48700]	Loss: 0.6624	LR: 0.020000
Training Epoch: 27 [39424/48700]	Loss: 0.6078	LR: 0.020000
Training Epoch: 27 [39680/48700]	Loss: 0.5227	LR: 0.020000
Training Epoch: 27 [39936/48700]	Loss: 0.5061	LR: 0.020000
Training Epoch: 27 [40192/48700]	Loss: 0.6438	LR: 0.020000
Training Epoch: 27 [40448/48700]	Loss: 0.5185	LR: 0.020000
Training Epoch: 27 [40704/48700]	Loss: 0.6698	LR: 0.020000
Training Epoch: 27 [40960/48700]	Loss: 0.4821	LR: 0.020000
Training Epoch: 27 [41216/48700]	Loss: 0.4526	LR: 0.020000
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Training Epoch: 27 [41728/48700]	Loss: 0.4894	LR: 0.020000
Training Epoch: 27 [41984/48700]	Loss: 0.4657	LR: 0.020000
Training Epoch: 27 [42240/48700]	Loss: 0.5457	LR: 0.020000
Training Epoch: 27 [42496/48700]	Loss: 0.5035	LR: 0.020000
Training Epoch: 27 [42752/48700]	Loss: 0.4557	LR: 0.020000
Training Epoch: 27 [43008/48700]	Loss: 0.5117	LR: 0.020000
Training Epoch: 27 [43264/48700]	Loss: 0.5659	LR: 0.020000
Training Epoch: 27 [43520/48700]	Loss: 0.5803	LR: 0.020000
Training Epoch: 27 [43776/48700]	Loss: 0.5498	LR: 0.020000
Training Epoch: 27 [44032/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 27 [44288/48700]	Loss: 0.5248	LR: 0.020000
Training Epoch: 27 [44544/48700]	Loss: 0.6068	LR: 0.020000
Training Epoch: 27 [44800/48700]	Loss: 0.5480	LR: 0.020000
Training Epoch: 27 [45056/48700]	Loss: 0.5322	LR: 0.020000
Training Epoch: 27 [45312/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 27 [45568/48700]	Loss: 0.4942	LR: 0.020000
Training Epoch: 27 [45824/48700]	Loss: 0.5779	LR: 0.020000
Training Epoch: 27 [46080/48700]	Loss: 0.4943	LR: 0.020000
Training Epoch: 27 [46336/48700]	Loss: 0.5398	LR: 0.020000
Training Epoch: 27 [46592/48700]	Loss: 0.4510	LR: 0.020000
Training Epoch: 27 [46848/48700]	Loss: 0.6042	LR: 0.020000
Training Epoch: 27 [47104/48700]	Loss: 0.5450	LR: 0.020000
Training Epoch: 27 [47360/48700]	Loss: 0.5884	LR: 0.020000
Training Epoch: 27 [47616/48700]	Loss: 0.5812	LR: 0.020000
Training Epoch: 27 [47872/48700]	Loss: 0.6009	LR: 0.020000
Training Epoch: 27 [48128/48700]	Loss: 0.6619	LR: 0.020000
Training Epoch: 27 [48384/48700]	Loss: 0.4937	LR: 0.020000
Training Epoch: 27 [48640/48700]	Loss: 0.6762	LR: 0.020000
Training Epoch: 27 [48700/48700]	Loss: 0.9095	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5290, Train Accuracy: 0.8280
Epoch 27 training time consumed: 26.80s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0037, Accuracy: 0.7307, Time consumed:0.91s
Training Epoch: 28 [256/48700]	Loss: 0.6268	LR: 0.020000
Training Epoch: 28 [512/48700]	Loss: 0.4589	LR: 0.020000
Training Epoch: 28 [768/48700]	Loss: 0.5341	LR: 0.020000
Training Epoch: 28 [1024/48700]	Loss: 0.6642	LR: 0.020000
Training Epoch: 28 [1280/48700]	Loss: 0.6747	LR: 0.020000
Training Epoch: 28 [1536/48700]	Loss: 0.5054	LR: 0.020000
Training Epoch: 28 [1792/48700]	Loss: 0.5013	LR: 0.020000
Training Epoch: 28 [2048/48700]	Loss: 0.5324	LR: 0.020000
Training Epoch: 28 [2304/48700]	Loss: 0.5126	LR: 0.020000
Training Epoch: 28 [2560/48700]	Loss: 0.5672	LR: 0.020000
Training Epoch: 28 [2816/48700]	Loss: 0.5282	LR: 0.020000
Training Epoch: 28 [3072/48700]	Loss: 0.5554	LR: 0.020000
Training Epoch: 28 [3328/48700]	Loss: 0.5721	LR: 0.020000
Training Epoch: 28 [3584/48700]	Loss: 0.5393	LR: 0.020000
Training Epoch: 28 [3840/48700]	Loss: 0.4130	LR: 0.020000
Training Epoch: 28 [4096/48700]	Loss: 0.5670	LR: 0.020000
Training Epoch: 28 [4352/48700]	Loss: 0.4213	LR: 0.020000
Training Epoch: 28 [4608/48700]	Loss: 0.5609	LR: 0.020000
Training Epoch: 28 [4864/48700]	Loss: 0.4669	LR: 0.020000
Training Epoch: 28 [5120/48700]	Loss: 0.4984	LR: 0.020000
Training Epoch: 28 [5376/48700]	Loss: 0.4861	LR: 0.020000
Training Epoch: 28 [5632/48700]	Loss: 0.4750	LR: 0.020000
Training Epoch: 28 [5888/48700]	Loss: 0.4516	LR: 0.020000
Training Epoch: 28 [6144/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 28 [6400/48700]	Loss: 0.5044	LR: 0.020000
Training Epoch: 28 [6656/48700]	Loss: 0.4707	LR: 0.020000
Training Epoch: 28 [6912/48700]	Loss: 0.5074	LR: 0.020000
Training Epoch: 28 [7168/48700]	Loss: 0.5944	LR: 0.020000
Training Epoch: 28 [7424/48700]	Loss: 0.4888	LR: 0.020000
Training Epoch: 28 [7680/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 28 [7936/48700]	Loss: 0.4610	LR: 0.020000
Training Epoch: 28 [8192/48700]	Loss: 0.5991	LR: 0.020000
Training Epoch: 28 [8448/48700]	Loss: 0.5693	LR: 0.020000
Training Epoch: 28 [8704/48700]	Loss: 0.3508	LR: 0.020000
Training Epoch: 28 [8960/48700]	Loss: 0.5584	LR: 0.020000
Training Epoch: 28 [9216/48700]	Loss: 0.4826	LR: 0.020000
Training Epoch: 28 [9472/48700]	Loss: 0.4670	LR: 0.020000
Training Epoch: 28 [9728/48700]	Loss: 0.4854	LR: 0.020000
Training Epoch: 28 [9984/48700]	Loss: 0.5398	LR: 0.020000
Training Epoch: 28 [10240/48700]	Loss: 0.4986	LR: 0.020000
Training Epoch: 28 [10496/48700]	Loss: 0.5329	LR: 0.020000
Training Epoch: 28 [10752/48700]	Loss: 0.4727	LR: 0.020000
Training Epoch: 28 [11008/48700]	Loss: 0.6102	LR: 0.020000
Training Epoch: 28 [11264/48700]	Loss: 0.5698	LR: 0.020000
Training Epoch: 28 [11520/48700]	Loss: 0.5792	LR: 0.020000
Training Epoch: 28 [11776/48700]	Loss: 0.4817	LR: 0.020000
Training Epoch: 28 [12032/48700]	Loss: 0.5303	LR: 0.020000
Training Epoch: 28 [12288/48700]	Loss: 0.5572	LR: 0.020000
Training Epoch: 28 [12544/48700]	Loss: 0.4850	LR: 0.020000
Training Epoch: 28 [12800/48700]	Loss: 0.5605	LR: 0.020000
Training Epoch: 28 [13056/48700]	Loss: 0.5051	LR: 0.020000
Training Epoch: 28 [13312/48700]	Loss: 0.5622	LR: 0.020000
Training Epoch: 28 [13568/48700]	Loss: 0.5501	LR: 0.020000
Training Epoch: 28 [13824/48700]	Loss: 0.4539	LR: 0.020000
Training Epoch: 28 [14080/48700]	Loss: 0.5518	LR: 0.020000
Training Epoch: 28 [14336/48700]	Loss: 0.5967	LR: 0.020000
Training Epoch: 28 [14592/48700]	Loss: 0.5093	LR: 0.020000
Training Epoch: 28 [14848/48700]	Loss: 0.6083	LR: 0.020000
Training Epoch: 28 [15104/48700]	Loss: 0.5432	LR: 0.020000
Training Epoch: 28 [15360/48700]	Loss: 0.5695	LR: 0.020000
Training Epoch: 28 [15616/48700]	Loss: 0.6282	LR: 0.020000
Training Epoch: 28 [15872/48700]	Loss: 0.4930	LR: 0.020000
Training Epoch: 28 [16128/48700]	Loss: 0.4976	LR: 0.020000
Training Epoch: 28 [16384/48700]	Loss: 0.5775	LR: 0.020000
Training Epoch: 28 [16640/48700]	Loss: 0.5523	LR: 0.020000
Training Epoch: 28 [16896/48700]	Loss: 0.4494	LR: 0.020000
Training Epoch: 28 [17152/48700]	Loss: 0.6444	LR: 0.020000
Training Epoch: 28 [17408/48700]	Loss: 0.5338	LR: 0.020000
Training Epoch: 28 [17664/48700]	Loss: 0.5432	LR: 0.020000
Training Epoch: 28 [17920/48700]	Loss: 0.5179	LR: 0.020000
Training Epoch: 28 [18176/48700]	Loss: 0.4289	LR: 0.020000
Training Epoch: 28 [18432/48700]	Loss: 0.5272	LR: 0.020000
Training Epoch: 28 [18688/48700]	Loss: 0.5238	LR: 0.020000
Training Epoch: 28 [18944/48700]	Loss: 0.5157	LR: 0.020000
Training Epoch: 28 [19200/48700]	Loss: 0.4474	LR: 0.020000
Training Epoch: 28 [19456/48700]	Loss: 0.4445	LR: 0.020000
Training Epoch: 28 [19712/48700]	Loss: 0.4755	LR: 0.020000
Training Epoch: 28 [19968/48700]	Loss: 0.5867	LR: 0.020000
Training Epoch: 28 [20224/48700]	Loss: 0.5541	LR: 0.020000
Training Epoch: 28 [20480/48700]	Loss: 0.5060	LR: 0.020000
Training Epoch: 28 [20736/48700]	Loss: 0.5256	LR: 0.020000
Training Epoch: 28 [20992/48700]	Loss: 0.5509	LR: 0.020000
Training Epoch: 28 [21248/48700]	Loss: 0.4780	LR: 0.020000
Training Epoch: 28 [21504/48700]	Loss: 0.4943	LR: 0.020000
Training Epoch: 28 [21760/48700]	Loss: 0.5200	LR: 0.020000
Training Epoch: 28 [22016/48700]	Loss: 0.4491	LR: 0.020000
Training Epoch: 28 [22272/48700]	Loss: 0.5331	LR: 0.020000
Training Epoch: 28 [22528/48700]	Loss: 0.4766	LR: 0.020000
Training Epoch: 28 [22784/48700]	Loss: 0.4749	LR: 0.020000
Training Epoch: 28 [23040/48700]	Loss: 0.6166	LR: 0.020000
Training Epoch: 28 [23296/48700]	Loss: 0.5089	LR: 0.020000
Training Epoch: 28 [23552/48700]	Loss: 0.4461	LR: 0.020000
Training Epoch: 28 [23808/48700]	Loss: 0.5541	LR: 0.020000
Training Epoch: 28 [24064/48700]	Loss: 0.5982	LR: 0.020000
Training Epoch: 28 [24320/48700]	Loss: 0.4961	LR: 0.020000
Training Epoch: 28 [24576/48700]	Loss: 0.4427	LR: 0.020000
Training Epoch: 28 [24832/48700]	Loss: 0.4778	LR: 0.020000
Training Epoch: 28 [25088/48700]	Loss: 0.3945	LR: 0.020000
Training Epoch: 28 [25344/48700]	Loss: 0.5447	LR: 0.020000
Training Epoch: 28 [25600/48700]	Loss: 0.4337	LR: 0.020000
Training Epoch: 28 [25856/48700]	Loss: 0.4930	LR: 0.020000
Training Epoch: 28 [26112/48700]	Loss: 0.5211	LR: 0.020000
Training Epoch: 28 [26368/48700]	Loss: 0.4636	LR: 0.020000
Training Epoch: 28 [26624/48700]	Loss: 0.6662	LR: 0.020000
Training Epoch: 28 [26880/48700]	Loss: 0.5818	LR: 0.020000
Training Epoch: 28 [27136/48700]	Loss: 0.6251	LR: 0.020000
Training Epoch: 28 [27392/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 28 [27648/48700]	Loss: 0.4723	LR: 0.020000
Training Epoch: 28 [27904/48700]	Loss: 0.4640	LR: 0.020000
Training Epoch: 28 [28160/48700]	Loss: 0.6411	LR: 0.020000
Training Epoch: 28 [28416/48700]	Loss: 0.5295	LR: 0.020000
Training Epoch: 28 [28672/48700]	Loss: 0.5248	LR: 0.020000
Training Epoch: 28 [28928/48700]	Loss: 0.5549	LR: 0.020000
Training Epoch: 28 [29184/48700]	Loss: 0.5052	LR: 0.020000
Training Epoch: 28 [29440/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 28 [29696/48700]	Loss: 0.5966	LR: 0.020000
Training Epoch: 28 [29952/48700]	Loss: 0.5152	LR: 0.020000
Training Epoch: 28 [30208/48700]	Loss: 0.6170	LR: 0.020000
Training Epoch: 28 [30464/48700]	Loss: 0.5190	LR: 0.020000
Training Epoch: 28 [30720/48700]	Loss: 0.4841	LR: 0.020000
Training Epoch: 28 [30976/48700]	Loss: 0.5489	LR: 0.020000
Training Epoch: 28 [31232/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 28 [31488/48700]	Loss: 0.5295	LR: 0.020000
Training Epoch: 28 [31744/48700]	Loss: 0.5563	LR: 0.020000
Training Epoch: 28 [32000/48700]	Loss: 0.5269	LR: 0.020000
Training Epoch: 28 [32256/48700]	Loss: 0.5936	LR: 0.020000
Training Epoch: 28 [32512/48700]	Loss: 0.5862	LR: 0.020000
Training Epoch: 28 [32768/48700]	Loss: 0.5905	LR: 0.020000
Training Epoch: 28 [33024/48700]	Loss: 0.5522	LR: 0.020000
Training Epoch: 28 [33280/48700]	Loss: 0.4507	LR: 0.020000
Training Epoch: 28 [33536/48700]	Loss: 0.4563	LR: 0.020000
Training Epoch: 28 [33792/48700]	Loss: 0.5576	LR: 0.020000
Training Epoch: 28 [34048/48700]	Loss: 0.5118	LR: 0.020000
Training Epoch: 28 [34304/48700]	Loss: 0.5280	LR: 0.020000
Training Epoch: 28 [34560/48700]	Loss: 0.5352	LR: 0.020000
Training Epoch: 28 [34816/48700]	Loss: 0.5876	LR: 0.020000
Training Epoch: 28 [35072/48700]	Loss: 0.5817	LR: 0.020000
Training Epoch: 28 [35328/48700]	Loss: 0.5204	LR: 0.020000
Training Epoch: 28 [35584/48700]	Loss: 0.5371	LR: 0.020000
Training Epoch: 28 [35840/48700]	Loss: 0.5282	LR: 0.020000
Training Epoch: 28 [36096/48700]	Loss: 0.5902	LR: 0.020000
Training Epoch: 28 [36352/48700]	Loss: 0.5597	LR: 0.020000
Training Epoch: 28 [36608/48700]	Loss: 0.6308	LR: 0.020000
Training Epoch: 28 [36864/48700]	Loss: 0.5128	LR: 0.020000
Training Epoch: 28 [37120/48700]	Loss: 0.5411	LR: 0.020000
Training Epoch: 28 [37376/48700]	Loss: 0.4599	LR: 0.020000
Training Epoch: 28 [37632/48700]	Loss: 0.5959	LR: 0.020000
Training Epoch: 28 [37888/48700]	Loss: 0.5837	LR: 0.020000
Training Epoch: 28 [38144/48700]	Loss: 0.5188	LR: 0.020000
Training Epoch: 28 [38400/48700]	Loss: 0.6047	LR: 0.020000
Training Epoch: 28 [38656/48700]	Loss: 0.4904	LR: 0.020000
Training Epoch: 28 [38912/48700]	Loss: 0.6237	LR: 0.020000
Training Epoch: 28 [39168/48700]	Loss: 0.6459	LR: 0.020000
Training Epoch: 28 [39424/48700]	Loss: 0.4999	LR: 0.020000
Training Epoch: 28 [39680/48700]	Loss: 0.5007	LR: 0.020000
Training Epoch: 28 [39936/48700]	Loss: 0.4718	LR: 0.020000
Training Epoch: 28 [40192/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 28 [40448/48700]	Loss: 0.6295	LR: 0.020000
Training Epoch: 28 [40704/48700]	Loss: 0.5242	LR: 0.020000
Training Epoch: 28 [40960/48700]	Loss: 0.5474	LR: 0.020000
Training Epoch: 28 [41216/48700]	Loss: 0.4766	LR: 0.020000
Training Epoch: 28 [41472/48700]	Loss: 0.5262	LR: 0.020000
Training Epoch: 28 [41728/48700]	Loss: 0.4943	LR: 0.020000
Training Epoch: 28 [41984/48700]	Loss: 0.5501	LR: 0.020000
Training Epoch: 28 [42240/48700]	Loss: 0.4486	LR: 0.020000
Training Epoch: 28 [42496/48700]	Loss: 0.6510	LR: 0.020000
Training Epoch: 28 [42752/48700]	Loss: 0.6545	LR: 0.020000
Training Epoch: 28 [43008/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 28 [43264/48700]	Loss: 0.5494	LR: 0.020000
Training Epoch: 28 [43520/48700]	Loss: 0.5518	LR: 0.020000
Training Epoch: 28 [43776/48700]	Loss: 0.4820	LR: 0.020000
Training Epoch: 28 [44032/48700]	Loss: 0.4363	LR: 0.020000
Training Epoch: 28 [44288/48700]	Loss: 0.5531	LR: 0.020000
Training Epoch: 28 [44544/48700]	Loss: 0.5250	LR: 0.020000
Training Epoch: 28 [44800/48700]	Loss: 0.4976	LR: 0.020000
Training Epoch: 28 [45056/48700]	Loss: 0.5507	LR: 0.020000
Training Epoch: 28 [45312/48700]	Loss: 0.6092	LR: 0.020000
Training Epoch: 28 [45568/48700]	Loss: 0.6158	LR: 0.020000
Training Epoch: 28 [45824/48700]	Loss: 0.4887	LR: 0.020000
Training Epoch: 28 [46080/48700]	Loss: 0.5588	LR: 0.020000
Training Epoch: 28 [46336/48700]	Loss: 0.5478	LR: 0.020000
Training Epoch: 28 [46592/48700]	Loss: 0.6330	LR: 0.020000
Training Epoch: 28 [46848/48700]	Loss: 0.5105	LR: 0.020000
Training Epoch: 28 [47104/48700]	Loss: 0.5397	LR: 0.020000
Training Epoch: 28 [47360/48700]	Loss: 0.5641	LR: 0.020000
Training Epoch: 28 [47616/48700]	Loss: 0.5755	LR: 0.020000
Training Epoch: 28 [47872/48700]	Loss: 0.6633	LR: 0.020000
Training Epoch: 28 [48128/48700]	Loss: 0.5690	LR: 0.020000
Training Epoch: 28 [48384/48700]	Loss: 0.5368	LR: 0.020000
Training Epoch: 28 [48640/48700]	Loss: 0.6593	LR: 0.020000
Training Epoch: 28 [48700/48700]	Loss: 0.6758	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5319, Train Accuracy: 0.8280
Epoch 28 training time consumed: 26.90s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0036, Accuracy: 0.7348, Time consumed:0.93s
Training Epoch: 29 [256/48700]	Loss: 0.5150	LR: 0.020000
Training Epoch: 29 [512/48700]	Loss: 0.5520	LR: 0.020000
Training Epoch: 29 [768/48700]	Loss: 0.4488	LR: 0.020000
Training Epoch: 29 [1024/48700]	Loss: 0.4323	LR: 0.020000
Training Epoch: 29 [1280/48700]	Loss: 0.4951	LR: 0.020000
Training Epoch: 29 [1536/48700]	Loss: 0.4903	LR: 0.020000
Training Epoch: 29 [1792/48700]	Loss: 0.5016	LR: 0.020000
Training Epoch: 29 [2048/48700]	Loss: 0.4269	LR: 0.020000
Training Epoch: 29 [2304/48700]	Loss: 0.5019	LR: 0.020000
Training Epoch: 29 [2560/48700]	Loss: 0.4325	LR: 0.020000
Training Epoch: 29 [2816/48700]	Loss: 0.5317	LR: 0.020000
Training Epoch: 29 [3072/48700]	Loss: 0.5227	LR: 0.020000
Training Epoch: 29 [3328/48700]	Loss: 0.4156	LR: 0.020000
Training Epoch: 29 [3584/48700]	Loss: 0.4514	LR: 0.020000
Training Epoch: 29 [3840/48700]	Loss: 0.4573	LR: 0.020000
Training Epoch: 29 [4096/48700]	Loss: 0.4450	LR: 0.020000
Training Epoch: 29 [4352/48700]	Loss: 0.4525	LR: 0.020000
Training Epoch: 29 [4608/48700]	Loss: 0.4845	LR: 0.020000
Training Epoch: 29 [4864/48700]	Loss: 0.5582	LR: 0.020000
Training Epoch: 29 [5120/48700]	Loss: 0.4595	LR: 0.020000
Training Epoch: 29 [5376/48700]	Loss: 0.4948	LR: 0.020000
Training Epoch: 29 [5632/48700]	Loss: 0.4583	LR: 0.020000
Training Epoch: 29 [5888/48700]	Loss: 0.5407	LR: 0.020000
Training Epoch: 29 [6144/48700]	Loss: 0.5455	LR: 0.020000
Training Epoch: 29 [6400/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 29 [6656/48700]	Loss: 0.4766	LR: 0.020000
Training Epoch: 29 [6912/48700]	Loss: 0.5977	LR: 0.020000
Training Epoch: 29 [7168/48700]	Loss: 0.5709	LR: 0.020000
Training Epoch: 29 [7424/48700]	Loss: 0.4863	LR: 0.020000
Training Epoch: 29 [7680/48700]	Loss: 0.4552	LR: 0.020000
Training Epoch: 29 [7936/48700]	Loss: 0.5262	LR: 0.020000
Training Epoch: 29 [8192/48700]	Loss: 0.5186	LR: 0.020000
Training Epoch: 29 [8448/48700]	Loss: 0.4962	LR: 0.020000
Training Epoch: 29 [8704/48700]	Loss: 0.4345	LR: 0.020000
Training Epoch: 29 [8960/48700]	Loss: 0.4530	LR: 0.020000
Training Epoch: 29 [9216/48700]	Loss: 0.4879	LR: 0.020000
Training Epoch: 29 [9472/48700]	Loss: 0.5273	LR: 0.020000
Training Epoch: 29 [9728/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 29 [9984/48700]	Loss: 0.3418	LR: 0.020000
Training Epoch: 29 [10240/48700]	Loss: 0.4840	LR: 0.020000
Training Epoch: 29 [10496/48700]	Loss: 0.4893	LR: 0.020000
Training Epoch: 29 [10752/48700]	Loss: 0.3948	LR: 0.020000
Training Epoch: 29 [11008/48700]	Loss: 0.4723	LR: 0.020000
Training Epoch: 29 [11264/48700]	Loss: 0.4822	LR: 0.020000
Training Epoch: 29 [11520/48700]	Loss: 0.4786	LR: 0.020000
Training Epoch: 29 [11776/48700]	Loss: 0.4773	LR: 0.020000
Training Epoch: 29 [12032/48700]	Loss: 0.4866	LR: 0.020000
Training Epoch: 29 [12288/48700]	Loss: 0.4227	LR: 0.020000
Training Epoch: 29 [12544/48700]	Loss: 0.4953	LR: 0.020000
Training Epoch: 29 [12800/48700]	Loss: 0.5022	LR: 0.020000
Training Epoch: 29 [13056/48700]	Loss: 0.3545	LR: 0.020000
Training Epoch: 29 [13312/48700]	Loss: 0.5748	LR: 0.020000
Training Epoch: 29 [13568/48700]	Loss: 0.5067	LR: 0.020000
Training Epoch: 29 [13824/48700]	Loss: 0.4249	LR: 0.020000
Training Epoch: 29 [14080/48700]	Loss: 0.4906	LR: 0.020000
Training Epoch: 29 [14336/48700]	Loss: 0.4951	LR: 0.020000
Training Epoch: 29 [14592/48700]	Loss: 0.4079	LR: 0.020000
Training Epoch: 29 [14848/48700]	Loss: 0.5735	LR: 0.020000
Training Epoch: 29 [15104/48700]	Loss: 0.5607	LR: 0.020000
Training Epoch: 29 [15360/48700]	Loss: 0.4632	LR: 0.020000
Training Epoch: 29 [15616/48700]	Loss: 0.5481	LR: 0.020000
Training Epoch: 29 [15872/48700]	Loss: 0.5379	LR: 0.020000
Training Epoch: 29 [16128/48700]	Loss: 0.5669	LR: 0.020000
Training Epoch: 29 [16384/48700]	Loss: 0.5247	LR: 0.020000
Training Epoch: 29 [16640/48700]	Loss: 0.5313	LR: 0.020000
Training Epoch: 29 [16896/48700]	Loss: 0.5186	LR: 0.020000
Training Epoch: 29 [17152/48700]	Loss: 0.6320	LR: 0.020000
Training Epoch: 29 [17408/48700]	Loss: 0.3850	LR: 0.020000
Training Epoch: 29 [17664/48700]	Loss: 0.3981	LR: 0.020000
Training Epoch: 29 [17920/48700]	Loss: 0.6695	LR: 0.020000
Training Epoch: 29 [18176/48700]	Loss: 0.5609	LR: 0.020000
Training Epoch: 29 [18432/48700]	Loss: 0.5851	LR: 0.020000
Training Epoch: 29 [18688/48700]	Loss: 0.5797	LR: 0.020000
Training Epoch: 29 [18944/48700]	Loss: 0.5204	LR: 0.020000
Training Epoch: 29 [19200/48700]	Loss: 0.4906	LR: 0.020000
Training Epoch: 29 [19456/48700]	Loss: 0.4382	LR: 0.020000
Training Epoch: 29 [19712/48700]	Loss: 0.4015	LR: 0.020000
Training Epoch: 29 [19968/48700]	Loss: 0.4883	LR: 0.020000
Training Epoch: 29 [20224/48700]	Loss: 0.4618	LR: 0.020000
Training Epoch: 29 [20480/48700]	Loss: 0.4836	LR: 0.020000
Training Epoch: 29 [20736/48700]	Loss: 0.5503	LR: 0.020000
Training Epoch: 29 [20992/48700]	Loss: 0.5130	LR: 0.020000
Training Epoch: 29 [21248/48700]	Loss: 0.3637	LR: 0.020000
Training Epoch: 29 [21504/48700]	Loss: 0.4831	LR: 0.020000
Training Epoch: 29 [21760/48700]	Loss: 0.4310	LR: 0.020000
Training Epoch: 29 [22016/48700]	Loss: 0.5557	LR: 0.020000
Training Epoch: 29 [22272/48700]	Loss: 0.5237	LR: 0.020000
Training Epoch: 29 [22528/48700]	Loss: 0.5442	LR: 0.020000
Training Epoch: 29 [22784/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 29 [23040/48700]	Loss: 0.4590	LR: 0.020000
Training Epoch: 29 [23296/48700]	Loss: 0.5029	LR: 0.020000
Training Epoch: 29 [23552/48700]	Loss: 0.4636	LR: 0.020000
Training Epoch: 29 [23808/48700]	Loss: 0.4969	LR: 0.020000
Training Epoch: 29 [24064/48700]	Loss: 0.5223	LR: 0.020000
Training Epoch: 29 [24320/48700]	Loss: 0.6301	LR: 0.020000
Training Epoch: 29 [24576/48700]	Loss: 0.5599	LR: 0.020000
Training Epoch: 29 [24832/48700]	Loss: 0.5696	LR: 0.020000
Training Epoch: 29 [25088/48700]	Loss: 0.5849	LR: 0.020000
Training Epoch: 29 [25344/48700]	Loss: 0.5792	LR: 0.020000
Training Epoch: 29 [25600/48700]	Loss: 0.4847	LR: 0.020000
Training Epoch: 29 [25856/48700]	Loss: 0.5446	LR: 0.020000
Training Epoch: 29 [26112/48700]	Loss: 0.6182	LR: 0.020000
Training Epoch: 29 [26368/48700]	Loss: 0.5093	LR: 0.020000
Training Epoch: 29 [26624/48700]	Loss: 0.4716	LR: 0.020000
Training Epoch: 29 [26880/48700]	Loss: 0.5121	LR: 0.020000
Training Epoch: 29 [27136/48700]	Loss: 0.4876	LR: 0.020000
Training Epoch: 29 [27392/48700]	Loss: 0.4701	LR: 0.020000
Training Epoch: 29 [27648/48700]	Loss: 0.5831	LR: 0.020000
Training Epoch: 29 [27904/48700]	Loss: 0.4870	LR: 0.020000
Training Epoch: 29 [28160/48700]	Loss: 0.4440	LR: 0.020000
Training Epoch: 29 [28416/48700]	Loss: 0.5986	LR: 0.020000
Training Epoch: 29 [28672/48700]	Loss: 0.4976	LR: 0.020000
Training Epoch: 29 [28928/48700]	Loss: 0.5182	LR: 0.020000
Training Epoch: 29 [29184/48700]	Loss: 0.5157	LR: 0.020000
Training Epoch: 29 [29440/48700]	Loss: 0.6199	LR: 0.020000
Training Epoch: 29 [29696/48700]	Loss: 0.5077	LR: 0.020000
Training Epoch: 29 [29952/48700]	Loss: 0.5139	LR: 0.020000
Training Epoch: 29 [30208/48700]	Loss: 0.4750	LR: 0.020000
Training Epoch: 29 [30464/48700]	Loss: 0.5525	LR: 0.020000
Training Epoch: 29 [30720/48700]	Loss: 0.5704	LR: 0.020000
Training Epoch: 29 [30976/48700]	Loss: 0.5836	LR: 0.020000
Training Epoch: 29 [31232/48700]	Loss: 0.5850	LR: 0.020000
Training Epoch: 29 [31488/48700]	Loss: 0.5330	LR: 0.020000
Training Epoch: 29 [31744/48700]	Loss: 0.6389	LR: 0.020000
Training Epoch: 29 [32000/48700]	Loss: 0.5114	LR: 0.020000
Training Epoch: 29 [32256/48700]	Loss: 0.5513	LR: 0.020000
Training Epoch: 29 [32512/48700]	Loss: 0.4954	LR: 0.020000
Training Epoch: 29 [32768/48700]	Loss: 0.4270	LR: 0.020000
Training Epoch: 29 [33024/48700]	Loss: 0.5651	LR: 0.020000
Training Epoch: 29 [33280/48700]	Loss: 0.4350	LR: 0.020000
Training Epoch: 29 [33536/48700]	Loss: 0.5624	LR: 0.020000
Training Epoch: 29 [33792/48700]	Loss: 0.5250	LR: 0.020000
Training Epoch: 29 [34048/48700]	Loss: 0.5275	LR: 0.020000
Training Epoch: 29 [34304/48700]	Loss: 0.6940	LR: 0.020000
Training Epoch: 29 [34560/48700]	Loss: 0.5822	LR: 0.020000
Training Epoch: 29 [34816/48700]	Loss: 0.4269	LR: 0.020000
Training Epoch: 29 [35072/48700]	Loss: 0.5721	LR: 0.020000
Training Epoch: 29 [35328/48700]	Loss: 0.4930	LR: 0.020000
Training Epoch: 29 [35584/48700]	Loss: 0.4880	LR: 0.020000
Training Epoch: 29 [35840/48700]	Loss: 0.5942	LR: 0.020000
Training Epoch: 29 [36096/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 29 [36352/48700]	Loss: 0.5531	LR: 0.020000
Training Epoch: 29 [36608/48700]	Loss: 0.5001	LR: 0.020000
Training Epoch: 29 [36864/48700]	Loss: 0.5510	LR: 0.020000
Training Epoch: 29 [37120/48700]	Loss: 0.4920	LR: 0.020000
Training Epoch: 29 [37376/48700]	Loss: 0.5454	LR: 0.020000
Training Epoch: 29 [37632/48700]	Loss: 0.5445	LR: 0.020000
Training Epoch: 29 [37888/48700]	Loss: 0.6161	LR: 0.020000
Training Epoch: 29 [38144/48700]	Loss: 0.4746	LR: 0.020000
Training Epoch: 29 [38400/48700]	Loss: 0.5267	LR: 0.020000
Training Epoch: 29 [38656/48700]	Loss: 0.5486	LR: 0.020000
Training Epoch: 29 [38912/48700]	Loss: 0.4843	LR: 0.020000
Training Epoch: 29 [39168/48700]	Loss: 0.5370	LR: 0.020000
Training Epoch: 29 [39424/48700]	Loss: 0.5046	LR: 0.020000
Training Epoch: 29 [39680/48700]	Loss: 0.4555	LR: 0.020000
Training Epoch: 29 [39936/48700]	Loss: 0.4699	LR: 0.020000
Training Epoch: 29 [40192/48700]	Loss: 0.5974	LR: 0.020000
Training Epoch: 29 [40448/48700]	Loss: 0.6215	LR: 0.020000
Training Epoch: 29 [40704/48700]	Loss: 0.4143	LR: 0.020000
Training Epoch: 29 [40960/48700]	Loss: 0.5700	LR: 0.020000
Training Epoch: 29 [41216/48700]	Loss: 0.4730	LR: 0.020000
Training Epoch: 29 [41472/48700]	Loss: 0.4556	LR: 0.020000
Training Epoch: 29 [41728/48700]	Loss: 0.4701	LR: 0.020000
Training Epoch: 29 [41984/48700]	Loss: 0.4424	LR: 0.020000
Training Epoch: 29 [42240/48700]	Loss: 0.5529	LR: 0.020000
Training Epoch: 29 [42496/48700]	Loss: 0.5355	LR: 0.020000
Training Epoch: 29 [42752/48700]	Loss: 0.4723	LR: 0.020000
Training Epoch: 29 [43008/48700]	Loss: 0.4634	LR: 0.020000
Training Epoch: 29 [43264/48700]	Loss: 0.5152	LR: 0.020000
Training Epoch: 29 [43520/48700]	Loss: 0.4777	LR: 0.020000
Training Epoch: 29 [43776/48700]	Loss: 0.5278	LR: 0.020000
Training Epoch: 29 [44032/48700]	Loss: 0.5102	LR: 0.020000
Training Epoch: 29 [44288/48700]	Loss: 0.5173	LR: 0.020000
Training Epoch: 29 [44544/48700]	Loss: 0.5325	LR: 0.020000
Training Epoch: 29 [44800/48700]	Loss: 0.5576	LR: 0.020000
Training Epoch: 29 [45056/48700]	Loss: 0.5314	LR: 0.020000
Training Epoch: 29 [45312/48700]	Loss: 0.4653	LR: 0.020000
Training Epoch: 29 [45568/48700]	Loss: 0.4855	LR: 0.020000
Training Epoch: 29 [45824/48700]	Loss: 0.5421	LR: 0.020000
Training Epoch: 29 [46080/48700]	Loss: 0.6242	LR: 0.020000
Training Epoch: 29 [46336/48700]	Loss: 0.5508	LR: 0.020000
Training Epoch: 29 [46592/48700]	Loss: 0.5337	LR: 0.020000
Training Epoch: 29 [46848/48700]	Loss: 0.5009	LR: 0.020000
Training Epoch: 29 [47104/48700]	Loss: 0.5560	LR: 0.020000
Training Epoch: 29 [47360/48700]	Loss: 0.6278	LR: 0.020000
Training Epoch: 29 [47616/48700]	Loss: 0.6243	LR: 0.020000
Training Epoch: 29 [47872/48700]	Loss: 0.5535	LR: 0.020000
Training Epoch: 29 [48128/48700]	Loss: 0.4417	LR: 0.020000
Training Epoch: 29 [48384/48700]	Loss: 0.5723	LR: 0.020000
Training Epoch: 29 [48640/48700]	Loss: 0.5113	LR: 0.020000
Training Epoch: 29 [48700/48700]	Loss: 0.6224	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5106, Train Accuracy: 0.8336
Epoch 29 training time consumed: 26.85s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0038, Accuracy: 0.7221, Time consumed:0.91s
Training Epoch: 30 [256/48700]	Loss: 0.5078	LR: 0.004000
Training Epoch: 30 [512/48700]	Loss: 0.5774	LR: 0.004000
Training Epoch: 30 [768/48700]	Loss: 0.5408	LR: 0.004000
Training Epoch: 30 [1024/48700]	Loss: 0.5661	LR: 0.004000
Training Epoch: 30 [1280/48700]	Loss: 0.5056	LR: 0.004000
Training Epoch: 30 [1536/48700]	Loss: 0.4874	LR: 0.004000
Training Epoch: 30 [1792/48700]	Loss: 0.5802	LR: 0.004000
Training Epoch: 30 [2048/48700]	Loss: 0.4550	LR: 0.004000
Training Epoch: 30 [2304/48700]	Loss: 0.4947	LR: 0.004000
Training Epoch: 30 [2560/48700]	Loss: 0.4293	LR: 0.004000
Training Epoch: 30 [2816/48700]	Loss: 0.4267	LR: 0.004000
Training Epoch: 30 [3072/48700]	Loss: 0.4717	LR: 0.004000
Training Epoch: 30 [3328/48700]	Loss: 0.4345	LR: 0.004000
Training Epoch: 30 [3584/48700]	Loss: 0.3845	LR: 0.004000
Training Epoch: 30 [3840/48700]	Loss: 0.4983	LR: 0.004000
Training Epoch: 30 [4096/48700]	Loss: 0.3972	LR: 0.004000
Training Epoch: 30 [4352/48700]	Loss: 0.4221	LR: 0.004000
Training Epoch: 30 [4608/48700]	Loss: 0.3782	LR: 0.004000
Training Epoch: 30 [4864/48700]	Loss: 0.4862	LR: 0.004000
Training Epoch: 30 [5120/48700]	Loss: 0.4862	LR: 0.004000
Training Epoch: 30 [5376/48700]	Loss: 0.4123	LR: 0.004000
Training Epoch: 30 [5632/48700]	Loss: 0.4228	LR: 0.004000
Training Epoch: 30 [5888/48700]	Loss: 0.4178	LR: 0.004000
Training Epoch: 30 [6144/48700]	Loss: 0.5264	LR: 0.004000
Training Epoch: 30 [6400/48700]	Loss: 0.4441	LR: 0.004000
Training Epoch: 30 [6656/48700]	Loss: 0.4958	LR: 0.004000
Training Epoch: 30 [6912/48700]	Loss: 0.4533	LR: 0.004000
Training Epoch: 30 [7168/48700]	Loss: 0.4247	LR: 0.004000
Training Epoch: 30 [7424/48700]	Loss: 0.3917	LR: 0.004000
Training Epoch: 30 [7680/48700]	Loss: 0.4667	LR: 0.004000
Training Epoch: 30 [7936/48700]	Loss: 0.3704	LR: 0.004000
Training Epoch: 30 [8192/48700]	Loss: 0.3863	LR: 0.004000
Training Epoch: 30 [8448/48700]	Loss: 0.4480	LR: 0.004000
Training Epoch: 30 [8704/48700]	Loss: 0.4174	LR: 0.004000
Training Epoch: 30 [8960/48700]	Loss: 0.4325	LR: 0.004000
Training Epoch: 30 [9216/48700]	Loss: 0.4235	LR: 0.004000
Training Epoch: 30 [9472/48700]	Loss: 0.3400	LR: 0.004000
Training Epoch: 30 [9728/48700]	Loss: 0.4455	LR: 0.004000
Training Epoch: 30 [9984/48700]	Loss: 0.4904	LR: 0.004000
Training Epoch: 30 [10240/48700]	Loss: 0.4650	LR: 0.004000
Training Epoch: 30 [10496/48700]	Loss: 0.3718	LR: 0.004000
Training Epoch: 30 [10752/48700]	Loss: 0.3841	LR: 0.004000
Training Epoch: 30 [11008/48700]	Loss: 0.4174	LR: 0.004000
Training Epoch: 30 [11264/48700]	Loss: 0.4567	LR: 0.004000
Training Epoch: 30 [11520/48700]	Loss: 0.3843	LR: 0.004000
Training Epoch: 30 [11776/48700]	Loss: 0.4473	LR: 0.004000
Training Epoch: 30 [12032/48700]	Loss: 0.4291	LR: 0.004000
Training Epoch: 30 [12288/48700]	Loss: 0.3751	LR: 0.004000
Training Epoch: 30 [12544/48700]	Loss: 0.4259	LR: 0.004000
Training Epoch: 30 [12800/48700]	Loss: 0.3744	LR: 0.004000
Training Epoch: 30 [13056/48700]	Loss: 0.4658	LR: 0.004000
Training Epoch: 30 [13312/48700]	Loss: 0.4462	LR: 0.004000
Training Epoch: 30 [13568/48700]	Loss: 0.3307	LR: 0.004000
Training Epoch: 30 [13824/48700]	Loss: 0.4567	LR: 0.004000
Training Epoch: 30 [14080/48700]	Loss: 0.3799	LR: 0.004000
Training Epoch: 30 [14336/48700]	Loss: 0.3818	LR: 0.004000
Training Epoch: 30 [14592/48700]	Loss: 0.4384	LR: 0.004000
Training Epoch: 30 [14848/48700]	Loss: 0.3770	LR: 0.004000
Training Epoch: 30 [15104/48700]	Loss: 0.3781	LR: 0.004000
Training Epoch: 30 [15360/48700]	Loss: 0.4040	LR: 0.004000
Training Epoch: 30 [15616/48700]	Loss: 0.3729	LR: 0.004000
Training Epoch: 30 [15872/48700]	Loss: 0.3736	LR: 0.004000
Training Epoch: 30 [16128/48700]	Loss: 0.3521	LR: 0.004000
Training Epoch: 30 [16384/48700]	Loss: 0.4143	LR: 0.004000
Training Epoch: 30 [16640/48700]	Loss: 0.3687	LR: 0.004000
Training Epoch: 30 [16896/48700]	Loss: 0.2935	LR: 0.004000
Training Epoch: 30 [17152/48700]	Loss: 0.4536	LR: 0.004000
Training Epoch: 30 [17408/48700]	Loss: 0.3688	LR: 0.004000
Training Epoch: 30 [17664/48700]	Loss: 0.4000	LR: 0.004000
Training Epoch: 30 [17920/48700]	Loss: 0.4401	LR: 0.004000
Training Epoch: 30 [18176/48700]	Loss: 0.4975	LR: 0.004000
Training Epoch: 30 [18432/48700]	Loss: 0.3635	LR: 0.004000
Training Epoch: 30 [18688/48700]	Loss: 0.3575	LR: 0.004000
Training Epoch: 30 [18944/48700]	Loss: 0.3793	LR: 0.004000
Training Epoch: 30 [19200/48700]	Loss: 0.3983	LR: 0.004000
Training Epoch: 30 [19456/48700]	Loss: 0.3631	LR: 0.004000
Training Epoch: 30 [19712/48700]	Loss: 0.4153	LR: 0.004000
Training Epoch: 30 [19968/48700]	Loss: 0.3439	LR: 0.004000
Training Epoch: 30 [20224/48700]	Loss: 0.4577	LR: 0.004000
Training Epoch: 30 [20480/48700]	Loss: 0.3882	LR: 0.004000
Training Epoch: 30 [20736/48700]	Loss: 0.3212	LR: 0.004000
Training Epoch: 30 [20992/48700]	Loss: 0.4699	LR: 0.004000
Training Epoch: 30 [21248/48700]	Loss: 0.4073	LR: 0.004000
Training Epoch: 30 [21504/48700]	Loss: 0.4334	LR: 0.004000
Training Epoch: 30 [21760/48700]	Loss: 0.3704	LR: 0.004000
Training Epoch: 30 [22016/48700]	Loss: 0.3906	LR: 0.004000
Training Epoch: 30 [22272/48700]	Loss: 0.4268	LR: 0.004000
Training Epoch: 30 [22528/48700]	Loss: 0.4128	LR: 0.004000
Training Epoch: 30 [22784/48700]	Loss: 0.4590	LR: 0.004000
Training Epoch: 30 [23040/48700]	Loss: 0.4091	LR: 0.004000
Training Epoch: 30 [23296/48700]	Loss: 0.3699	LR: 0.004000
Training Epoch: 30 [23552/48700]	Loss: 0.3882	LR: 0.004000
Training Epoch: 30 [23808/48700]	Loss: 0.3912	LR: 0.004000
Training Epoch: 30 [24064/48700]	Loss: 0.4618	LR: 0.004000
Training Epoch: 30 [24320/48700]	Loss: 0.2727	LR: 0.004000
Training Epoch: 30 [24576/48700]	Loss: 0.3627	LR: 0.004000
Training Epoch: 30 [24832/48700]	Loss: 0.3858	LR: 0.004000
Training Epoch: 30 [25088/48700]	Loss: 0.4521	LR: 0.004000
Training Epoch: 30 [25344/48700]	Loss: 0.3693	LR: 0.004000
Training Epoch: 30 [25600/48700]	Loss: 0.4180	LR: 0.004000
Training Epoch: 30 [25856/48700]	Loss: 0.4105	LR: 0.004000
Training Epoch: 30 [26112/48700]	Loss: 0.3927	LR: 0.004000
Training Epoch: 30 [26368/48700]	Loss: 0.3214	LR: 0.004000
Training Epoch: 30 [26624/48700]	Loss: 0.3913	LR: 0.004000
Training Epoch: 30 [26880/48700]	Loss: 0.4719	LR: 0.004000
Training Epoch: 30 [27136/48700]	Loss: 0.4305	LR: 0.004000
Training Epoch: 30 [27392/48700]	Loss: 0.3803	LR: 0.004000
Training Epoch: 30 [27648/48700]	Loss: 0.2906	LR: 0.004000
Training Epoch: 30 [27904/48700]	Loss: 0.3692	LR: 0.004000
Training Epoch: 30 [28160/48700]	Loss: 0.3851	LR: 0.004000
Training Epoch: 30 [28416/48700]	Loss: 0.3174	LR: 0.004000
Training Epoch: 30 [28672/48700]	Loss: 0.3887	LR: 0.004000
Training Epoch: 30 [28928/48700]	Loss: 0.3504	LR: 0.004000
Training Epoch: 30 [29184/48700]	Loss: 0.3695	LR: 0.004000
Training Epoch: 30 [29440/48700]	Loss: 0.3668	LR: 0.004000
Training Epoch: 30 [29696/48700]	Loss: 0.4004	LR: 0.004000
Training Epoch: 30 [29952/48700]	Loss: 0.4283	LR: 0.004000
Training Epoch: 30 [30208/48700]	Loss: 0.3874	LR: 0.004000
Training Epoch: 30 [30464/48700]	Loss: 0.3728	LR: 0.004000
Training Epoch: 30 [30720/48700]	Loss: 0.4539	LR: 0.004000
Training Epoch: 30 [30976/48700]	Loss: 0.4330	LR: 0.004000
Training Epoch: 30 [31232/48700]	Loss: 0.3802	LR: 0.004000
Training Epoch: 30 [31488/48700]	Loss: 0.4134	LR: 0.004000
Training Epoch: 30 [31744/48700]	Loss: 0.4546	LR: 0.004000
Training Epoch: 30 [32000/48700]	Loss: 0.4162	LR: 0.004000
Training Epoch: 30 [32256/48700]	Loss: 0.4027	LR: 0.004000
Training Epoch: 30 [32512/48700]	Loss: 0.3375	LR: 0.004000
Training Epoch: 30 [32768/48700]	Loss: 0.3582	LR: 0.004000
Training Epoch: 30 [33024/48700]	Loss: 0.3767	LR: 0.004000
Training Epoch: 30 [33280/48700]	Loss: 0.3932	LR: 0.004000
Training Epoch: 30 [33536/48700]	Loss: 0.4276	LR: 0.004000
Training Epoch: 30 [33792/48700]	Loss: 0.4023	LR: 0.004000
Training Epoch: 30 [34048/48700]	Loss: 0.3358	LR: 0.004000
Training Epoch: 30 [34304/48700]	Loss: 0.3827	LR: 0.004000
Training Epoch: 30 [34560/48700]	Loss: 0.4071	LR: 0.004000
Training Epoch: 30 [34816/48700]	Loss: 0.4016	LR: 0.004000
Training Epoch: 30 [35072/48700]	Loss: 0.3641	LR: 0.004000
Training Epoch: 30 [35328/48700]	Loss: 0.4253	LR: 0.004000
Training Epoch: 30 [35584/48700]	Loss: 0.4816	LR: 0.004000
Training Epoch: 30 [35840/48700]	Loss: 0.4006	LR: 0.004000
Training Epoch: 30 [36096/48700]	Loss: 0.3291	LR: 0.004000
Training Epoch: 30 [36352/48700]	Loss: 0.3821	LR: 0.004000
Training Epoch: 30 [36608/48700]	Loss: 0.4392	LR: 0.004000
Training Epoch: 30 [36864/48700]	Loss: 0.4026	LR: 0.004000
Training Epoch: 30 [37120/48700]	Loss: 0.3583	LR: 0.004000
Training Epoch: 30 [37376/48700]	Loss: 0.3252	LR: 0.004000
Training Epoch: 30 [37632/48700]	Loss: 0.3752	LR: 0.004000
Training Epoch: 30 [37888/48700]	Loss: 0.4108	LR: 0.004000
Training Epoch: 30 [38144/48700]	Loss: 0.3507	LR: 0.004000
Training Epoch: 30 [38400/48700]	Loss: 0.4768	LR: 0.004000
Training Epoch: 30 [38656/48700]	Loss: 0.3528	LR: 0.004000
Training Epoch: 30 [38912/48700]	Loss: 0.5136	LR: 0.004000
Training Epoch: 30 [39168/48700]	Loss: 0.3725	LR: 0.004000
Training Epoch: 30 [39424/48700]	Loss: 0.3618	LR: 0.004000
Training Epoch: 30 [39680/48700]	Loss: 0.3095	LR: 0.004000
Training Epoch: 30 [39936/48700]	Loss: 0.3588	LR: 0.004000
Training Epoch: 30 [40192/48700]	Loss: 0.4435	LR: 0.004000
Training Epoch: 30 [40448/48700]	Loss: 0.3826	LR: 0.004000
Training Epoch: 30 [40704/48700]	Loss: 0.3750	LR: 0.004000
Training Epoch: 30 [40960/48700]	Loss: 0.3821	LR: 0.004000
Training Epoch: 30 [41216/48700]	Loss: 0.3750	LR: 0.004000
Training Epoch: 30 [41472/48700]	Loss: 0.3524	LR: 0.004000
Training Epoch: 30 [41728/48700]	Loss: 0.3575	LR: 0.004000
Training Epoch: 30 [41984/48700]	Loss: 0.4239	LR: 0.004000
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Training Epoch: 30 [43776/48700]	Loss: 0.4285	LR: 0.004000
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Training Epoch: 30 [44288/48700]	Loss: 0.3334	LR: 0.004000
Training Epoch: 30 [44544/48700]	Loss: 0.4351	LR: 0.004000
Training Epoch: 30 [44800/48700]	Loss: 0.3062	LR: 0.004000
Training Epoch: 30 [45056/48700]	Loss: 0.4624	LR: 0.004000
Training Epoch: 30 [45312/48700]	Loss: 0.4125	LR: 0.004000
Training Epoch: 30 [45568/48700]	Loss: 0.4134	LR: 0.004000
Training Epoch: 30 [45824/48700]	Loss: 0.3977	LR: 0.004000
Training Epoch: 30 [46080/48700]	Loss: 0.3497	LR: 0.004000
Training Epoch: 30 [46336/48700]	Loss: 0.3928	LR: 0.004000
Training Epoch: 30 [46592/48700]	Loss: 0.3528	LR: 0.004000
Training Epoch: 30 [46848/48700]	Loss: 0.3910	LR: 0.004000
Training Epoch: 30 [47104/48700]	Loss: 0.3914	LR: 0.004000
Training Epoch: 30 [47360/48700]	Loss: 0.4045	LR: 0.004000
Training Epoch: 30 [47616/48700]	Loss: 0.3439	LR: 0.004000
Training Epoch: 30 [47872/48700]	Loss: 0.3690	LR: 0.004000
Training Epoch: 30 [48128/48700]	Loss: 0.3231	LR: 0.004000
Training Epoch: 30 [48384/48700]	Loss: 0.3885	LR: 0.004000
Training Epoch: 30 [48640/48700]	Loss: 0.3761	LR: 0.004000
Training Epoch: 30 [48700/48700]	Loss: 0.4023	LR: 0.004000
Epoch 30 - Average Train Loss: 0.4046, Train Accuracy: 0.8729
Epoch 30 training time consumed: 26.77s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0029, Accuracy: 0.7829, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-30-best.pth
Training Epoch: 31 [256/48700]	Loss: 0.4110	LR: 0.004000
Training Epoch: 31 [512/48700]	Loss: 0.3917	LR: 0.004000
Training Epoch: 31 [768/48700]	Loss: 0.4473	LR: 0.004000
Training Epoch: 31 [1024/48700]	Loss: 0.4015	LR: 0.004000
Training Epoch: 31 [1280/48700]	Loss: 0.3855	LR: 0.004000
Training Epoch: 31 [1536/48700]	Loss: 0.2894	LR: 0.004000
Training Epoch: 31 [1792/48700]	Loss: 0.3330	LR: 0.004000
Training Epoch: 31 [2048/48700]	Loss: 0.3619	LR: 0.004000
Training Epoch: 31 [2304/48700]	Loss: 0.3459	LR: 0.004000
Training Epoch: 31 [2560/48700]	Loss: 0.4046	LR: 0.004000
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Training Epoch: 31 [11520/48700]	Loss: 0.4087	LR: 0.004000
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Training Epoch: 31 [12032/48700]	Loss: 0.3731	LR: 0.004000
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Training Epoch: 31 [12800/48700]	Loss: 0.3446	LR: 0.004000
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Training Epoch: 31 [14848/48700]	Loss: 0.3628	LR: 0.004000
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Training Epoch: 31 [16128/48700]	Loss: 0.3180	LR: 0.004000
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Training Epoch: 31 [44288/48700]	Loss: 0.3314	LR: 0.004000
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Training Epoch: 31 [45056/48700]	Loss: 0.3442	LR: 0.004000
Training Epoch: 31 [45312/48700]	Loss: 0.3386	LR: 0.004000
Training Epoch: 31 [45568/48700]	Loss: 0.3890	LR: 0.004000
Training Epoch: 31 [45824/48700]	Loss: 0.2814	LR: 0.004000
Training Epoch: 31 [46080/48700]	Loss: 0.3464	LR: 0.004000
Training Epoch: 31 [46336/48700]	Loss: 0.3251	LR: 0.004000
Training Epoch: 31 [46592/48700]	Loss: 0.3849	LR: 0.004000
Training Epoch: 31 [46848/48700]	Loss: 0.3251	LR: 0.004000
Training Epoch: 31 [47104/48700]	Loss: 0.4654	LR: 0.004000
Training Epoch: 31 [47360/48700]	Loss: 0.4037	LR: 0.004000
Training Epoch: 31 [47616/48700]	Loss: 0.3720	LR: 0.004000
Training Epoch: 31 [47872/48700]	Loss: 0.4357	LR: 0.004000
Training Epoch: 31 [48128/48700]	Loss: 0.3303	LR: 0.004000
Training Epoch: 31 [48384/48700]	Loss: 0.3408	LR: 0.004000
Training Epoch: 31 [48640/48700]	Loss: 0.3362	LR: 0.004000
Training Epoch: 31 [48700/48700]	Loss: 0.3004	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3651, Train Accuracy: 0.8867
Epoch 31 training time consumed: 26.73s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0030, Accuracy: 0.7813, Time consumed:0.97s
Training Epoch: 32 [256/48700]	Loss: 0.3692	LR: 0.004000
Training Epoch: 32 [512/48700]	Loss: 0.4193	LR: 0.004000
Training Epoch: 32 [768/48700]	Loss: 0.3420	LR: 0.004000
Training Epoch: 32 [1024/48700]	Loss: 0.3156	LR: 0.004000
Training Epoch: 32 [1280/48700]	Loss: 0.2966	LR: 0.004000
Training Epoch: 32 [1536/48700]	Loss: 0.3658	LR: 0.004000
Training Epoch: 32 [1792/48700]	Loss: 0.4038	LR: 0.004000
Training Epoch: 32 [2048/48700]	Loss: 0.3074	LR: 0.004000
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Training Epoch: 32 [2816/48700]	Loss: 0.3862	LR: 0.004000
Training Epoch: 32 [3072/48700]	Loss: 0.4155	LR: 0.004000
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Training Epoch: 32 [16384/48700]	Loss: 0.3340	LR: 0.004000
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Training Epoch: 32 [47616/48700]	Loss: 0.3049	LR: 0.004000
Training Epoch: 32 [47872/48700]	Loss: 0.3278	LR: 0.004000
Training Epoch: 32 [48128/48700]	Loss: 0.3369	LR: 0.004000
Training Epoch: 32 [48384/48700]	Loss: 0.4257	LR: 0.004000
Training Epoch: 32 [48640/48700]	Loss: 0.3472	LR: 0.004000
Training Epoch: 32 [48700/48700]	Loss: 0.4139	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3540, Train Accuracy: 0.8904
Epoch 32 training time consumed: 26.96s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0029, Accuracy: 0.7844, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-32-best.pth
Training Epoch: 33 [256/48700]	Loss: 0.3922	LR: 0.004000
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Training Epoch: 33 [40704/48700]	Loss: 0.3457	LR: 0.004000
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Training Epoch: 33 [44288/48700]	Loss: 0.3696	LR: 0.004000
Training Epoch: 33 [44544/48700]	Loss: 0.3856	LR: 0.004000
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Training Epoch: 33 [45056/48700]	Loss: 0.3297	LR: 0.004000
Training Epoch: 33 [45312/48700]	Loss: 0.3629	LR: 0.004000
Training Epoch: 33 [45568/48700]	Loss: 0.3657	LR: 0.004000
Training Epoch: 33 [45824/48700]	Loss: 0.3073	LR: 0.004000
Training Epoch: 33 [46080/48700]	Loss: 0.4149	LR: 0.004000
Training Epoch: 33 [46336/48700]	Loss: 0.3998	LR: 0.004000
Training Epoch: 33 [46592/48700]	Loss: 0.2984	LR: 0.004000
Training Epoch: 33 [46848/48700]	Loss: 0.3223	LR: 0.004000
Training Epoch: 33 [47104/48700]	Loss: 0.3316	LR: 0.004000
Training Epoch: 33 [47360/48700]	Loss: 0.4066	LR: 0.004000
Training Epoch: 33 [47616/48700]	Loss: 0.3075	LR: 0.004000
Training Epoch: 33 [47872/48700]	Loss: 0.3510	LR: 0.004000
Training Epoch: 33 [48128/48700]	Loss: 0.3084	LR: 0.004000
Training Epoch: 33 [48384/48700]	Loss: 0.3605	LR: 0.004000
Training Epoch: 33 [48640/48700]	Loss: 0.2838	LR: 0.004000
Training Epoch: 33 [48700/48700]	Loss: 0.4566	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3436, Train Accuracy: 0.8937
Epoch 33 training time consumed: 26.77s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0029, Accuracy: 0.7809, Time consumed:0.90s
Training Epoch: 34 [256/48700]	Loss: 0.3264	LR: 0.004000
Training Epoch: 34 [512/48700]	Loss: 0.2704	LR: 0.004000
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Training Epoch: 34 [1024/48700]	Loss: 0.3920	LR: 0.004000
Training Epoch: 34 [1280/48700]	Loss: 0.4113	LR: 0.004000
Training Epoch: 34 [1536/48700]	Loss: 0.3731	LR: 0.004000
Training Epoch: 34 [1792/48700]	Loss: 0.3540	LR: 0.004000
Training Epoch: 34 [2048/48700]	Loss: 0.3574	LR: 0.004000
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Training Epoch: 34 [2560/48700]	Loss: 0.3324	LR: 0.004000
Training Epoch: 34 [2816/48700]	Loss: 0.2991	LR: 0.004000
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Training Epoch: 34 [12288/48700]	Loss: 0.3517	LR: 0.004000
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Training Epoch: 34 [15872/48700]	Loss: 0.3394	LR: 0.004000
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Training Epoch: 34 [46080/48700]	Loss: 0.3055	LR: 0.004000
Training Epoch: 34 [46336/48700]	Loss: 0.3509	LR: 0.004000
Training Epoch: 34 [46592/48700]	Loss: 0.3243	LR: 0.004000
Training Epoch: 34 [46848/48700]	Loss: 0.2897	LR: 0.004000
Training Epoch: 34 [47104/48700]	Loss: 0.3616	LR: 0.004000
Training Epoch: 34 [47360/48700]	Loss: 0.3285	LR: 0.004000
Training Epoch: 34 [47616/48700]	Loss: 0.3892	LR: 0.004000
Training Epoch: 34 [47872/48700]	Loss: 0.3427	LR: 0.004000
Training Epoch: 34 [48128/48700]	Loss: 0.3122	LR: 0.004000
Training Epoch: 34 [48384/48700]	Loss: 0.3466	LR: 0.004000
Training Epoch: 34 [48640/48700]	Loss: 0.3239	LR: 0.004000
Training Epoch: 34 [48700/48700]	Loss: 0.3064	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3324, Train Accuracy: 0.8972
Epoch 34 training time consumed: 26.86s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.7846, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-34-best.pth
Training Epoch: 35 [256/48700]	Loss: 0.2554	LR: 0.000800
Training Epoch: 35 [512/48700]	Loss: 0.3292	LR: 0.000800
Training Epoch: 35 [768/48700]	Loss: 0.3164	LR: 0.000800
Training Epoch: 35 [1024/48700]	Loss: 0.3681	LR: 0.000800
Training Epoch: 35 [1280/48700]	Loss: 0.3412	LR: 0.000800
Training Epoch: 35 [1536/48700]	Loss: 0.4069	LR: 0.000800
Training Epoch: 35 [1792/48700]	Loss: 0.3231	LR: 0.000800
Training Epoch: 35 [2048/48700]	Loss: 0.3434	LR: 0.000800
Training Epoch: 35 [2304/48700]	Loss: 0.3052	LR: 0.000800
Training Epoch: 35 [2560/48700]	Loss: 0.2709	LR: 0.000800
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Training Epoch: 35 [3840/48700]	Loss: 0.2997	LR: 0.000800
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Training Epoch: 35 [15360/48700]	Loss: 0.3368	LR: 0.000800
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Training Epoch: 35 [22016/48700]	Loss: 0.2767	LR: 0.000800
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Training Epoch: 35 [45824/48700]	Loss: 0.2926	LR: 0.000800
Training Epoch: 35 [46080/48700]	Loss: 0.3920	LR: 0.000800
Training Epoch: 35 [46336/48700]	Loss: 0.3118	LR: 0.000800
Training Epoch: 35 [46592/48700]	Loss: 0.3159	LR: 0.000800
Training Epoch: 35 [46848/48700]	Loss: 0.2864	LR: 0.000800
Training Epoch: 35 [47104/48700]	Loss: 0.3339	LR: 0.000800
Training Epoch: 35 [47360/48700]	Loss: 0.3468	LR: 0.000800
Training Epoch: 35 [47616/48700]	Loss: 0.3455	LR: 0.000800
Training Epoch: 35 [47872/48700]	Loss: 0.2539	LR: 0.000800
Training Epoch: 35 [48128/48700]	Loss: 0.2854	LR: 0.000800
Training Epoch: 35 [48384/48700]	Loss: 0.2662	LR: 0.000800
Training Epoch: 35 [48640/48700]	Loss: 0.2864	LR: 0.000800
Training Epoch: 35 [48700/48700]	Loss: 0.3918	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3062, Train Accuracy: 0.9083
Epoch 35 training time consumed: 26.82s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7882, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_08h_40m_51s/AllCNN-Cifar20-seed6-ret75-35-best.pth
Training Epoch: 36 [256/48700]	Loss: 0.2799	LR: 0.000800
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Training Epoch: 36 [2560/48700]	Loss: 0.3063	LR: 0.000800
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Training Epoch: 36 [37888/48700]	Loss: 0.2482	LR: 0.000800
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Training Epoch: 36 [39680/48700]	Loss: 0.2875	LR: 0.000800
Training Epoch: 36 [39936/48700]	Loss: 0.3395	LR: 0.000800
Training Epoch: 36 [40192/48700]	Loss: 0.2936	LR: 0.000800
Training Epoch: 36 [40448/48700]	Loss: 0.2888	LR: 0.000800
Training Epoch: 36 [40704/48700]	Loss: 0.3392	LR: 0.000800
Training Epoch: 36 [40960/48700]	Loss: 0.2613	LR: 0.000800
Training Epoch: 36 [41216/48700]	Loss: 0.2742	LR: 0.000800
Training Epoch: 36 [41472/48700]	Loss: 0.2490	LR: 0.000800
Training Epoch: 36 [41728/48700]	Loss: 0.2873	LR: 0.000800
Training Epoch: 36 [41984/48700]	Loss: 0.3520	LR: 0.000800
Training Epoch: 36 [42240/48700]	Loss: 0.3036	LR: 0.000800
Training Epoch: 36 [42496/48700]	Loss: 0.2869	LR: 0.000800
Training Epoch: 36 [42752/48700]	Loss: 0.3078	LR: 0.000800
Training Epoch: 36 [43008/48700]	Loss: 0.3040	LR: 0.000800
Training Epoch: 36 [43264/48700]	Loss: 0.2466	LR: 0.000800
Training Epoch: 36 [43520/48700]	Loss: 0.3077	LR: 0.000800
Training Epoch: 36 [43776/48700]	Loss: 0.3652	LR: 0.000800
Training Epoch: 36 [44032/48700]	Loss: 0.2533	LR: 0.000800
Training Epoch: 36 [44288/48700]	Loss: 0.2485	LR: 0.000800
Training Epoch: 36 [44544/48700]	Loss: 0.2734	LR: 0.000800
Training Epoch: 36 [44800/48700]	Loss: 0.2933	LR: 0.000800
Training Epoch: 36 [45056/48700]	Loss: 0.3245	LR: 0.000800
Training Epoch: 36 [45312/48700]	Loss: 0.3627	LR: 0.000800
Training Epoch: 36 [45568/48700]	Loss: 0.3277	LR: 0.000800
Training Epoch: 36 [45824/48700]	Loss: 0.3499	LR: 0.000800
Training Epoch: 36 [46080/48700]	Loss: 0.2851	LR: 0.000800
Training Epoch: 36 [46336/48700]	Loss: 0.3170	LR: 0.000800
Training Epoch: 36 [46592/48700]	Loss: 0.3035	LR: 0.000800
Training Epoch: 36 [46848/48700]	Loss: 0.2509	LR: 0.000800
Training Epoch: 36 [47104/48700]	Loss: 0.3242	LR: 0.000800
Training Epoch: 36 [47360/48700]	Loss: 0.2871	LR: 0.000800
Training Epoch: 36 [47616/48700]	Loss: 0.3241	LR: 0.000800
Training Epoch: 36 [47872/48700]	Loss: 0.2733	LR: 0.000800
Training Epoch: 36 [48128/48700]	Loss: 0.2304	LR: 0.000800
Training Epoch: 36 [48384/48700]	Loss: 0.3146	LR: 0.000800
Training Epoch: 36 [48640/48700]	Loss: 0.2919	LR: 0.000800
Training Epoch: 36 [48700/48700]	Loss: 0.3825	LR: 0.000800
Epoch 36 - Average Train Loss: 0.3029, Train Accuracy: 0.9089
Epoch 36 training time consumed: 27.28s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.7881, Time consumed:0.91s
Training Epoch: 37 [256/48700]	Loss: 0.3154	LR: 0.000800
Training Epoch: 37 [512/48700]	Loss: 0.2607	LR: 0.000800
Training Epoch: 37 [768/48700]	Loss: 0.3684	LR: 0.000800
Training Epoch: 37 [1024/48700]	Loss: 0.3231	LR: 0.000800
Training Epoch: 37 [1280/48700]	Loss: 0.3269	LR: 0.000800
Training Epoch: 37 [1536/48700]	Loss: 0.2561	LR: 0.000800
Training Epoch: 37 [1792/48700]	Loss: 0.2552	LR: 0.000800
Training Epoch: 37 [2048/48700]	Loss: 0.3312	LR: 0.000800
Training Epoch: 37 [2304/48700]	Loss: 0.3445	LR: 0.000800
Training Epoch: 37 [2560/48700]	Loss: 0.3197	LR: 0.000800
Training Epoch: 37 [2816/48700]	Loss: 0.3217	LR: 0.000800
Training Epoch: 37 [3072/48700]	Loss: 0.2986	LR: 0.000800
Training Epoch: 37 [3328/48700]	Loss: 0.2892	LR: 0.000800
Training Epoch: 37 [3584/48700]	Loss: 0.3309	LR: 0.000800
Training Epoch: 37 [3840/48700]	Loss: 0.3584	LR: 0.000800
Training Epoch: 37 [4096/48700]	Loss: 0.3011	LR: 0.000800
Training Epoch: 37 [4352/48700]	Loss: 0.3248	LR: 0.000800
Training Epoch: 37 [4608/48700]	Loss: 0.3689	LR: 0.000800
Training Epoch: 37 [4864/48700]	Loss: 0.2863	LR: 0.000800
Training Epoch: 37 [5120/48700]	Loss: 0.2236	LR: 0.000800
Training Epoch: 37 [5376/48700]	Loss: 0.2662	LR: 0.000800
Training Epoch: 37 [5632/48700]	Loss: 0.3010	LR: 0.000800
Training Epoch: 37 [5888/48700]	Loss: 0.2538	LR: 0.000800
Training Epoch: 37 [6144/48700]	Loss: 0.3224	LR: 0.000800
Training Epoch: 37 [6400/48700]	Loss: 0.2698	LR: 0.000800
Training Epoch: 37 [6656/48700]	Loss: 0.3621	LR: 0.000800
Training Epoch: 37 [6912/48700]	Loss: 0.3556	LR: 0.000800
Training Epoch: 37 [7168/48700]	Loss: 0.2435	LR: 0.000800
Training Epoch: 37 [7424/48700]	Loss: 0.3214	LR: 0.000800
Training Epoch: 37 [7680/48700]	Loss: 0.2733	LR: 0.000800
Training Epoch: 37 [7936/48700]	Loss: 0.2821	LR: 0.000800
Training Epoch: 37 [8192/48700]	Loss: 0.2271	LR: 0.000800
Training Epoch: 37 [8448/48700]	Loss: 0.3194	LR: 0.000800
Training Epoch: 37 [8704/48700]	Loss: 0.2783	LR: 0.000800
Training Epoch: 37 [8960/48700]	Loss: 0.2903	LR: 0.000800
Training Epoch: 37 [9216/48700]	Loss: 0.3463	LR: 0.000800
Training Epoch: 37 [9472/48700]	Loss: 0.2298	LR: 0.000800
Training Epoch: 37 [9728/48700]	Loss: 0.3064	LR: 0.000800
Training Epoch: 37 [9984/48700]	Loss: 0.3458	LR: 0.000800
Training Epoch: 37 [10240/48700]	Loss: 0.3195	LR: 0.000800
Training Epoch: 37 [10496/48700]	Loss: 0.3301	LR: 0.000800
Training Epoch: 37 [10752/48700]	Loss: 0.2807	LR: 0.000800
Training Epoch: 37 [11008/48700]	Loss: 0.3520	LR: 0.000800
Training Epoch: 37 [11264/48700]	Loss: 0.2524	LR: 0.000800
Training Epoch: 37 [11520/48700]	Loss: 0.2128	LR: 0.000800
Training Epoch: 37 [11776/48700]	Loss: 0.2763	LR: 0.000800
Training Epoch: 37 [12032/48700]	Loss: 0.2574	LR: 0.000800
Training Epoch: 37 [12288/48700]	Loss: 0.2935	LR: 0.000800
Training Epoch: 37 [12544/48700]	Loss: 0.2711	LR: 0.000800
Training Epoch: 37 [12800/48700]	Loss: 0.3309	LR: 0.000800
Training Epoch: 37 [13056/48700]	Loss: 0.3570	LR: 0.000800
Training Epoch: 37 [13312/48700]	Loss: 0.2755	LR: 0.000800
Training Epoch: 37 [13568/48700]	Loss: 0.2801	LR: 0.000800
Training Epoch: 37 [13824/48700]	Loss: 0.3359	LR: 0.000800
Training Epoch: 37 [14080/48700]	Loss: 0.3238	LR: 0.000800
Training Epoch: 37 [14336/48700]	Loss: 0.3094	LR: 0.000800
Training Epoch: 37 [14592/48700]	Loss: 0.2275	LR: 0.000800
Training Epoch: 37 [14848/48700]	Loss: 0.3386	LR: 0.000800
Training Epoch: 37 [15104/48700]	Loss: 0.2411	LR: 0.000800
Training Epoch: 37 [15360/48700]	Loss: 0.3435	LR: 0.000800
Training Epoch: 37 [15616/48700]	Loss: 0.3535	LR: 0.000800
Training Epoch: 37 [15872/48700]	Loss: 0.2759	LR: 0.000800
Training Epoch: 37 [16128/48700]	Loss: 0.3369	LR: 0.000800
Training Epoch: 37 [16384/48700]	Loss: 0.3545	LR: 0.000800
Training Epoch: 37 [16640/48700]	Loss: 0.2978	LR: 0.000800
Training Epoch: 37 [16896/48700]	Loss: 0.2962	LR: 0.000800
Training Epoch: 37 [17152/48700]	Loss: 0.2582	LR: 0.000800
Training Epoch: 37 [17408/48700]	Loss: 0.2947	LR: 0.000800
Training Epoch: 37 [17664/48700]	Loss: 0.3180	LR: 0.000800
Training Epoch: 37 [17920/48700]	Loss: 0.3603	LR: 0.000800
Training Epoch: 37 [18176/48700]	Loss: 0.2844	LR: 0.000800
Training Epoch: 37 [18432/48700]	Loss: 0.3782	LR: 0.000800
Training Epoch: 37 [18688/48700]	Loss: 0.3008	LR: 0.000800
Training Epoch: 37 [18944/48700]	Loss: 0.3059	LR: 0.000800
Training Epoch: 37 [19200/48700]	Loss: 0.3117	LR: 0.000800
Training Epoch: 37 [19456/48700]	Loss: 0.3374	LR: 0.000800
Training Epoch: 37 [19712/48700]	Loss: 0.3159	LR: 0.000800
Training Epoch: 37 [19968/48700]	Loss: 0.2404	LR: 0.000800
Training Epoch: 37 [20224/48700]	Loss: 0.2814	LR: 0.000800
Training Epoch: 37 [20480/48700]	Loss: 0.2874	LR: 0.000800
Training Epoch: 37 [20736/48700]	Loss: 0.3179	LR: 0.000800
Training Epoch: 37 [20992/48700]	Loss: 0.3355	LR: 0.000800
Training Epoch: 37 [21248/48700]	Loss: 0.3235	LR: 0.000800
Training Epoch: 37 [21504/48700]	Loss: 0.2843	LR: 0.000800
Training Epoch: 37 [21760/48700]	Loss: 0.3471	LR: 0.000800
Training Epoch: 37 [22016/48700]	Loss: 0.2726	LR: 0.000800
Training Epoch: 37 [22272/48700]	Loss: 0.2547	LR: 0.000800
Training Epoch: 37 [22528/48700]	Loss: 0.2614	LR: 0.000800
Training Epoch: 37 [22784/48700]	Loss: 0.3514	LR: 0.000800
Training Epoch: 37 [23040/48700]	Loss: 0.2590	LR: 0.000800
Training Epoch: 37 [23296/48700]	Loss: 0.2929	LR: 0.000800
Training Epoch: 37 [23552/48700]	Loss: 0.2982	LR: 0.000800
Training Epoch: 37 [23808/48700]	Loss: 0.2691	LR: 0.000800
Training Epoch: 37 [24064/48700]	Loss: 0.2982	LR: 0.000800
Training Epoch: 37 [24320/48700]	Loss: 0.3600	LR: 0.000800
Training Epoch: 37 [24576/48700]	Loss: 0.2469	LR: 0.000800
Training Epoch: 37 [24832/48700]	Loss: 0.2753	LR: 0.000800
Training Epoch: 37 [25088/48700]	Loss: 0.3218	LR: 0.000800
Training Epoch: 37 [25344/48700]	Loss: 0.2229	LR: 0.000800
Training Epoch: 37 [25600/48700]	Loss: 0.2807	LR: 0.000800
Training Epoch: 37 [25856/48700]	Loss: 0.1925	LR: 0.000800
Training Epoch: 37 [26112/48700]	Loss: 0.3003	LR: 0.000800
Training Epoch: 37 [26368/48700]	Loss: 0.2482	LR: 0.000800
Training Epoch: 37 [26624/48700]	Loss: 0.2475	LR: 0.000800
Training Epoch: 37 [26880/48700]	Loss: 0.3095	LR: 0.000800
Training Epoch: 37 [27136/48700]	Loss: 0.2961	LR: 0.000800
Training Epoch: 37 [27392/48700]	Loss: 0.2592	LR: 0.000800
Training Epoch: 37 [27648/48700]	Loss: 0.2373	LR: 0.000800
Training Epoch: 37 [27904/48700]	Loss: 0.2976	LR: 0.000800
Training Epoch: 37 [28160/48700]	Loss: 0.2400	LR: 0.000800
Training Epoch: 37 [28416/48700]	Loss: 0.2782	LR: 0.000800
Training Epoch: 37 [28672/48700]	Loss: 0.3687	LR: 0.000800
Training Epoch: 37 [28928/48700]	Loss: 0.3507	LR: 0.000800
Training Epoch: 37 [29184/48700]	Loss: 0.2980	LR: 0.000800
Training Epoch: 37 [29440/48700]	Loss: 0.3000	LR: 0.000800
Training Epoch: 37 [29696/48700]	Loss: 0.2390	LR: 0.000800
Training Epoch: 37 [29952/48700]	Loss: 0.3056	LR: 0.000800
Training Epoch: 37 [30208/48700]	Loss: 0.3389	LR: 0.000800
Training Epoch: 37 [30464/48700]	Loss: 0.2885	LR: 0.000800
Training Epoch: 37 [30720/48700]	Loss: 0.2465	LR: 0.000800
Training Epoch: 37 [30976/48700]	Loss: 0.2797	LR: 0.000800
Training Epoch: 37 [31232/48700]	Loss: 0.3497	LR: 0.000800
Training Epoch: 37 [31488/48700]	Loss: 0.2636	LR: 0.000800
Training Epoch: 37 [31744/48700]	Loss: 0.3891	LR: 0.000800
Training Epoch: 37 [32000/48700]	Loss: 0.3256	LR: 0.000800
Training Epoch: 37 [32256/48700]	Loss: 0.2721	LR: 0.000800
Training Epoch: 37 [32512/48700]	Loss: 0.2400	LR: 0.000800
Training Epoch: 37 [32768/48700]	Loss: 0.3326	LR: 0.000800
Training Epoch: 37 [33024/48700]	Loss: 0.3026	LR: 0.000800
Training Epoch: 37 [33280/48700]	Loss: 0.2800	LR: 0.000800
Training Epoch: 37 [33536/48700]	Loss: 0.2565	LR: 0.000800
Training Epoch: 37 [33792/48700]	Loss: 0.3401	LR: 0.000800
Training Epoch: 37 [34048/48700]	Loss: 0.3200	LR: 0.000800
Training Epoch: 37 [34304/48700]	Loss: 0.2498	LR: 0.000800
Training Epoch: 37 [34560/48700]	Loss: 0.2810	LR: 0.000800
Training Epoch: 37 [34816/48700]	Loss: 0.2272	LR: 0.000800
Training Epoch: 37 [35072/48700]	Loss: 0.2444	LR: 0.000800
Training Epoch: 37 [35328/48700]	Loss: 0.3966	LR: 0.000800
Training Epoch: 37 [35584/48700]	Loss: 0.2775	LR: 0.000800
Training Epoch: 37 [35840/48700]	Loss: 0.3200	LR: 0.000800
Training Epoch: 37 [36096/48700]	Loss: 0.2691	LR: 0.000800
Training Epoch: 37 [36352/48700]	Loss: 0.2693	LR: 0.000800
Training Epoch: 37 [36608/48700]	Loss: 0.2479	LR: 0.000800
Training Epoch: 37 [36864/48700]	Loss: 0.3231	LR: 0.000800
Training Epoch: 37 [37120/48700]	Loss: 0.2574	LR: 0.000800
Training Epoch: 37 [37376/48700]	Loss: 0.3348	LR: 0.000800
Training Epoch: 37 [37632/48700]	Loss: 0.3100	LR: 0.000800
Training Epoch: 37 [37888/48700]	Loss: 0.2776	LR: 0.000800
Training Epoch: 37 [38144/48700]	Loss: 0.3309	LR: 0.000800
Training Epoch: 37 [38400/48700]	Loss: 0.2440	LR: 0.000800
Training Epoch: 37 [38656/48700]	Loss: 0.2608	LR: 0.000800
Training Epoch: 37 [38912/48700]	Loss: 0.2926	LR: 0.000800
Training Epoch: 37 [39168/48700]	Loss: 0.3100	LR: 0.000800
Training Epoch: 37 [39424/48700]	Loss: 0.3252	LR: 0.000800
Training Epoch: 37 [39680/48700]	Loss: 0.2388	LR: 0.000800
Training Epoch: 37 [39936/48700]	Loss: 0.3448	LR: 0.000800
Training Epoch: 37 [40192/48700]	Loss: 0.2905	LR: 0.000800
Training Epoch: 37 [40448/48700]	Loss: 0.3150	LR: 0.000800
Training Epoch: 37 [40704/48700]	Loss: 0.3435	LR: 0.000800
Training Epoch: 37 [40960/48700]	Loss: 0.3577	LR: 0.000800
Training Epoch: 37 [41216/48700]	Loss: 0.2746	LR: 0.000800
Training Epoch: 37 [41472/48700]	Loss: 0.2972	LR: 0.000800
Training Epoch: 37 [41728/48700]	Loss: 0.2951	LR: 0.000800
Training Epoch: 37 [41984/48700]	Loss: 0.2584	LR: 0.000800
Training Epoch: 37 [42240/48700]	Loss: 0.2919	LR: 0.000800
Training Epoch: 37 [42496/48700]	Loss: 0.2176	LR: 0.000800
Training Epoch: 37 [42752/48700]	Loss: 0.3074	LR: 0.000800
Training Epoch: 37 [43008/48700]	Loss: 0.3263	LR: 0.000800
Training Epoch: 37 [43264/48700]	Loss: 0.2717	LR: 0.000800
Training Epoch: 37 [43520/48700]	Loss: 0.2325	LR: 0.000800
Training Epoch: 37 [43776/48700]	Loss: 0.3540	LR: 0.000800
Training Epoch: 37 [44032/48700]	Loss: 0.3253	LR: 0.000800
Training Epoch: 37 [44288/48700]	Loss: 0.3300	LR: 0.000800
Training Epoch: 37 [44544/48700]	Loss: 0.3458	LR: 0.000800
Training Epoch: 37 [44800/48700]	Loss: 0.2642	LR: 0.000800
Training Epoch: 37 [45056/48700]	Loss: 0.3043	LR: 0.000800
Training Epoch: 37 [45312/48700]	Loss: 0.3365	LR: 0.000800
Training Epoch: 37 [45568/48700]	Loss: 0.2862	LR: 0.000800
Training Epoch: 37 [45824/48700]	Loss: 0.3230	LR: 0.000800
Training Epoch: 37 [46080/48700]	Loss: 0.2618	LR: 0.000800
Training Epoch: 37 [46336/48700]	Loss: 0.2829	LR: 0.000800
Training Epoch: 37 [46592/48700]	Loss: 0.3080	LR: 0.000800
Training Epoch: 37 [46848/48700]	Loss: 0.3978	LR: 0.000800
Training Epoch: 37 [47104/48700]	Loss: 0.2763	LR: 0.000800
Training Epoch: 37 [47360/48700]	Loss: 0.2840	LR: 0.000800
Training Epoch: 37 [47616/48700]	Loss: 0.2925	LR: 0.000800
Training Epoch: 37 [47872/48700]	Loss: 0.3030	LR: 0.000800
Training Epoch: 37 [48128/48700]	Loss: 0.3141	LR: 0.000800
Training Epoch: 37 [48384/48700]	Loss: 0.3573	LR: 0.000800
Training Epoch: 37 [48640/48700]	Loss: 0.2775	LR: 0.000800
Training Epoch: 37 [48700/48700]	Loss: 0.5678	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2982, Train Accuracy: 0.9108
Epoch 37 training time consumed: 26.85s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.7881, Time consumed:0.90s
Training Epoch: 38 [256/48700]	Loss: 0.2996	LR: 0.000800
Training Epoch: 38 [512/48700]	Loss: 0.3700	LR: 0.000800
Training Epoch: 38 [768/48700]	Loss: 0.2966	LR: 0.000800
Training Epoch: 38 [1024/48700]	Loss: 0.2690	LR: 0.000800
Training Epoch: 38 [1280/48700]	Loss: 0.3250	LR: 0.000800
Training Epoch: 38 [1536/48700]	Loss: 0.2264	LR: 0.000800
Training Epoch: 38 [1792/48700]	Loss: 0.3476	LR: 0.000800
Training Epoch: 38 [2048/48700]	Loss: 0.2554	LR: 0.000800
Training Epoch: 38 [2304/48700]	Loss: 0.2481	LR: 0.000800
Training Epoch: 38 [2560/48700]	Loss: 0.3013	LR: 0.000800
Training Epoch: 38 [2816/48700]	Loss: 0.2857	LR: 0.000800
Training Epoch: 38 [3072/48700]	Loss: 0.3499	LR: 0.000800
Training Epoch: 38 [3328/48700]	Loss: 0.3098	LR: 0.000800
Training Epoch: 38 [3584/48700]	Loss: 0.2674	LR: 0.000800
Training Epoch: 38 [3840/48700]	Loss: 0.3105	LR: 0.000800
Training Epoch: 38 [4096/48700]	Loss: 0.3000	LR: 0.000800
Training Epoch: 38 [4352/48700]	Loss: 0.2988	LR: 0.000800
Training Epoch: 38 [4608/48700]	Loss: 0.3710	LR: 0.000800
Training Epoch: 38 [4864/48700]	Loss: 0.2972	LR: 0.000800
Training Epoch: 38 [5120/48700]	Loss: 0.3546	LR: 0.000800
Training Epoch: 38 [5376/48700]	Loss: 0.2694	LR: 0.000800
Training Epoch: 38 [5632/48700]	Loss: 0.3149	LR: 0.000800
Training Epoch: 38 [5888/48700]	Loss: 0.3692	LR: 0.000800
Training Epoch: 38 [6144/48700]	Loss: 0.2761	LR: 0.000800
Training Epoch: 38 [6400/48700]	Loss: 0.2901	LR: 0.000800
Training Epoch: 38 [6656/48700]	Loss: 0.3518	LR: 0.000800
Training Epoch: 38 [6912/48700]	Loss: 0.2551	LR: 0.000800
Training Epoch: 38 [7168/48700]	Loss: 0.2482	LR: 0.000800
Training Epoch: 38 [7424/48700]	Loss: 0.2694	LR: 0.000800
Training Epoch: 38 [7680/48700]	Loss: 0.2984	LR: 0.000800
Training Epoch: 38 [7936/48700]	Loss: 0.3366	LR: 0.000800
Training Epoch: 38 [8192/48700]	Loss: 0.2998	LR: 0.000800
Training Epoch: 38 [8448/48700]	Loss: 0.2940	LR: 0.000800
Training Epoch: 38 [8704/48700]	Loss: 0.3211	LR: 0.000800
Training Epoch: 38 [8960/48700]	Loss: 0.2694	LR: 0.000800
Training Epoch: 38 [9216/48700]	Loss: 0.3063	LR: 0.000800
Training Epoch: 38 [9472/48700]	Loss: 0.3316	LR: 0.000800
Training Epoch: 38 [9728/48700]	Loss: 0.2741	LR: 0.000800
Training Epoch: 38 [9984/48700]	Loss: 0.2759	LR: 0.000800
Training Epoch: 38 [10240/48700]	Loss: 0.2414	LR: 0.000800
Training Epoch: 38 [10496/48700]	Loss: 0.2894	LR: 0.000800
Training Epoch: 38 [10752/48700]	Loss: 0.2366	LR: 0.000800
Training Epoch: 38 [11008/48700]	Loss: 0.3050	LR: 0.000800
Training Epoch: 38 [11264/48700]	Loss: 0.3676	LR: 0.000800
Training Epoch: 38 [11520/48700]	Loss: 0.3255	LR: 0.000800
Training Epoch: 38 [11776/48700]	Loss: 0.2234	LR: 0.000800
Training Epoch: 38 [12032/48700]	Loss: 0.3386	LR: 0.000800
Training Epoch: 38 [12288/48700]	Loss: 0.3293	LR: 0.000800
Training Epoch: 38 [12544/48700]	Loss: 0.3192	LR: 0.000800
Training Epoch: 38 [12800/48700]	Loss: 0.2766	LR: 0.000800
Training Epoch: 38 [13056/48700]	Loss: 0.3137	LR: 0.000800
Training Epoch: 38 [13312/48700]	Loss: 0.2932	LR: 0.000800
Training Epoch: 38 [13568/48700]	Loss: 0.3010	LR: 0.000800
Training Epoch: 38 [13824/48700]	Loss: 0.2814	LR: 0.000800
Training Epoch: 38 [14080/48700]	Loss: 0.2817	LR: 0.000800
Training Epoch: 38 [14336/48700]	Loss: 0.3126	LR: 0.000800
Training Epoch: 38 [14592/48700]	Loss: 0.2977	LR: 0.000800
Training Epoch: 38 [14848/48700]	Loss: 0.3191	LR: 0.000800
Training Epoch: 38 [15104/48700]	Loss: 0.2294	LR: 0.000800
Training Epoch: 38 [15360/48700]	Loss: 0.2665	LR: 0.000800
Training Epoch: 38 [15616/48700]	Loss: 0.2678	LR: 0.000800
Training Epoch: 38 [15872/48700]	Loss: 0.2539	LR: 0.000800
Training Epoch: 38 [16128/48700]	Loss: 0.2530	LR: 0.000800
Training Epoch: 38 [16384/48700]	Loss: 0.3195	LR: 0.000800
Training Epoch: 38 [16640/48700]	Loss: 0.3138	LR: 0.000800
Training Epoch: 38 [16896/48700]	Loss: 0.3990	LR: 0.000800
Training Epoch: 38 [17152/48700]	Loss: 0.2522	LR: 0.000800
Training Epoch: 38 [17408/48700]	Loss: 0.2020	LR: 0.000800
Training Epoch: 38 [17664/48700]	Loss: 0.2548	LR: 0.000800
Training Epoch: 38 [17920/48700]	Loss: 0.3012	LR: 0.000800
Training Epoch: 38 [18176/48700]	Loss: 0.2466	LR: 0.000800
Training Epoch: 38 [18432/48700]	Loss: 0.2948	LR: 0.000800
Training Epoch: 38 [18688/48700]	Loss: 0.2577	LR: 0.000800
Training Epoch: 38 [18944/48700]	Loss: 0.3367	LR: 0.000800
Training Epoch: 38 [19200/48700]	Loss: 0.2770	LR: 0.000800
Training Epoch: 38 [19456/48700]	Loss: 0.2896	LR: 0.000800
Training Epoch: 38 [19712/48700]	Loss: 0.3042	LR: 0.000800
Training Epoch: 38 [19968/48700]	Loss: 0.2695	LR: 0.000800
Training Epoch: 38 [20224/48700]	Loss: 0.3806	LR: 0.000800
Training Epoch: 38 [20480/48700]	Loss: 0.3045	LR: 0.000800
Training Epoch: 38 [20736/48700]	Loss: 0.3044	LR: 0.000800
Training Epoch: 38 [20992/48700]	Loss: 0.2779	LR: 0.000800
Training Epoch: 38 [21248/48700]	Loss: 0.2526	LR: 0.000800
Training Epoch: 38 [21504/48700]	Loss: 0.3727	LR: 0.000800
Training Epoch: 38 [21760/48700]	Loss: 0.2872	LR: 0.000800
Training Epoch: 38 [22016/48700]	Loss: 0.2325	LR: 0.000800
Training Epoch: 38 [22272/48700]	Loss: 0.2685	LR: 0.000800
Training Epoch: 38 [22528/48700]	Loss: 0.3024	LR: 0.000800
Training Epoch: 38 [22784/48700]	Loss: 0.3040	LR: 0.000800
Training Epoch: 38 [23040/48700]	Loss: 0.3228	LR: 0.000800
Training Epoch: 38 [23296/48700]	Loss: 0.3524	LR: 0.000800
Training Epoch: 38 [23552/48700]	Loss: 0.2967	LR: 0.000800
Training Epoch: 38 [23808/48700]	Loss: 0.2209	LR: 0.000800
Training Epoch: 38 [24064/48700]	Loss: 0.2903	LR: 0.000800
Training Epoch: 38 [24320/48700]	Loss: 0.3114	LR: 0.000800
Training Epoch: 38 [24576/48700]	Loss: 0.3655	LR: 0.000800
Training Epoch: 38 [24832/48700]	Loss: 0.3187	LR: 0.000800
Training Epoch: 38 [25088/48700]	Loss: 0.3482	LR: 0.000800
Training Epoch: 38 [25344/48700]	Loss: 0.2749	LR: 0.000800
Training Epoch: 38 [25600/48700]	Loss: 0.2911	LR: 0.000800
Training Epoch: 38 [25856/48700]	Loss: 0.3503	LR: 0.000800
Training Epoch: 38 [26112/48700]	Loss: 0.3123	LR: 0.000800
Training Epoch: 38 [26368/48700]	Loss: 0.3573	LR: 0.000800
Training Epoch: 38 [26624/48700]	Loss: 0.2989	LR: 0.000800
Training Epoch: 38 [26880/48700]	Loss: 0.2494	LR: 0.000800
Training Epoch: 38 [27136/48700]	Loss: 0.3322	LR: 0.000800
Training Epoch: 38 [27392/48700]	Loss: 0.2745	LR: 0.000800
Training Epoch: 38 [27648/48700]	Loss: 0.2725	LR: 0.000800
Training Epoch: 38 [27904/48700]	Loss: 0.3284	LR: 0.000800
Training Epoch: 38 [28160/48700]	Loss: 0.3046	LR: 0.000800
Training Epoch: 38 [28416/48700]	Loss: 0.2681	LR: 0.000800
Training Epoch: 38 [28672/48700]	Loss: 0.3651	LR: 0.000800
Training Epoch: 38 [28928/48700]	Loss: 0.2582	LR: 0.000800
Training Epoch: 38 [29184/48700]	Loss: 0.2675	LR: 0.000800
Training Epoch: 38 [29440/48700]	Loss: 0.2834	LR: 0.000800
Training Epoch: 38 [29696/48700]	Loss: 0.2648	LR: 0.000800
Training Epoch: 38 [29952/48700]	Loss: 0.2587	LR: 0.000800
Training Epoch: 38 [30208/48700]	Loss: 0.2985	LR: 0.000800
Training Epoch: 38 [30464/48700]	Loss: 0.3137	LR: 0.000800
Training Epoch: 38 [30720/48700]	Loss: 0.2930	LR: 0.000800
Training Epoch: 38 [30976/48700]	Loss: 0.2803	LR: 0.000800
Training Epoch: 38 [31232/48700]	Loss: 0.2636	LR: 0.000800
Training Epoch: 38 [31488/48700]	Loss: 0.2783	LR: 0.000800
Training Epoch: 38 [31744/48700]	Loss: 0.2960	LR: 0.000800
Training Epoch: 38 [32000/48700]	Loss: 0.3037	LR: 0.000800
Training Epoch: 38 [32256/48700]	Loss: 0.2726	LR: 0.000800
Training Epoch: 38 [32512/48700]	Loss: 0.2737	LR: 0.000800
Training Epoch: 38 [32768/48700]	Loss: 0.2934	LR: 0.000800
Training Epoch: 38 [33024/48700]	Loss: 0.2700	LR: 0.000800
Training Epoch: 38 [33280/48700]	Loss: 0.2669	LR: 0.000800
Training Epoch: 38 [33536/48700]	Loss: 0.3729	LR: 0.000800
Training Epoch: 38 [33792/48700]	Loss: 0.3169	LR: 0.000800
Training Epoch: 38 [34048/48700]	Loss: 0.2760	LR: 0.000800
Training Epoch: 38 [34304/48700]	Loss: 0.2721	LR: 0.000800
Training Epoch: 38 [34560/48700]	Loss: 0.3147	LR: 0.000800
Training Epoch: 38 [34816/48700]	Loss: 0.2617	LR: 0.000800
Training Epoch: 38 [35072/48700]	Loss: 0.2462	LR: 0.000800
Training Epoch: 38 [35328/48700]	Loss: 0.3094	LR: 0.000800
Training Epoch: 38 [35584/48700]	Loss: 0.3252	LR: 0.000800
Training Epoch: 38 [35840/48700]	Loss: 0.2675	LR: 0.000800
Training Epoch: 38 [36096/48700]	Loss: 0.3292	LR: 0.000800
Training Epoch: 38 [36352/48700]	Loss: 0.3798	LR: 0.000800
Training Epoch: 38 [36608/48700]	Loss: 0.3134	LR: 0.000800
Training Epoch: 38 [36864/48700]	Loss: 0.3116	LR: 0.000800
Training Epoch: 38 [37120/48700]	Loss: 0.3215	LR: 0.000800
Training Epoch: 38 [37376/48700]	Loss: 0.3017	LR: 0.000800
Training Epoch: 38 [37632/48700]	Loss: 0.3620	LR: 0.000800
Training Epoch: 38 [37888/48700]	Loss: 0.3159	LR: 0.000800
Training Epoch: 38 [38144/48700]	Loss: 0.3263	LR: 0.000800
Training Epoch: 38 [38400/48700]	Loss: 0.2993	LR: 0.000800
Training Epoch: 38 [38656/48700]	Loss: 0.3226	LR: 0.000800
Training Epoch: 38 [38912/48700]	Loss: 0.3384	LR: 0.000800
Training Epoch: 38 [39168/48700]	Loss: 0.2344	LR: 0.000800
Training Epoch: 38 [39424/48700]	Loss: 0.3014	LR: 0.000800
Training Epoch: 38 [39680/48700]	Loss: 0.3553	LR: 0.000800
Training Epoch: 38 [39936/48700]	Loss: 0.2625	LR: 0.000800
Training Epoch: 38 [40192/48700]	Loss: 0.3860	LR: 0.000800
Training Epoch: 38 [40448/48700]	Loss: 0.3126	LR: 0.000800
Training Epoch: 38 [40704/48700]	Loss: 0.3152	LR: 0.000800
Training Epoch: 38 [40960/48700]	Loss: 0.2947	LR: 0.000800
Training Epoch: 38 [41216/48700]	Loss: 0.3094	LR: 0.000800
Training Epoch: 38 [41472/48700]	Loss: 0.3277	LR: 0.000800
Training Epoch: 38 [41728/48700]	Loss: 0.2275	LR: 0.000800
Training Epoch: 38 [41984/48700]	Loss: 0.2835	LR: 0.000800
Training Epoch: 38 [42240/48700]	Loss: 0.2792	LR: 0.000800
Training Epoch: 38 [42496/48700]	Loss: 0.3097	LR: 0.000800
Training Epoch: 38 [42752/48700]	Loss: 0.2479	LR: 0.000800
Training Epoch: 38 [43008/48700]	Loss: 0.2926	LR: 0.000800
Training Epoch: 38 [43264/48700]	Loss: 0.2786	LR: 0.000800
Training Epoch: 38 [43520/48700]	Loss: 0.3243	LR: 0.000800
Training Epoch: 38 [43776/48700]	Loss: 0.3321	LR: 0.000800
Training Epoch: 38 [44032/48700]	Loss: 0.2935	LR: 0.000800
Training Epoch: 38 [44288/48700]	Loss: 0.3561	LR: 0.000800
Training Epoch: 38 [44544/48700]	Loss: 0.3322	LR: 0.000800
Training Epoch: 38 [44800/48700]	Loss: 0.2418	LR: 0.000800
Training Epoch: 38 [45056/48700]	Loss: 0.2457	LR: 0.000800
Training Epoch: 38 [45312/48700]	Loss: 0.3059	LR: 0.000800
Training Epoch: 38 [45568/48700]	Loss: 0.3666	LR: 0.000800
Training Epoch: 38 [45824/48700]	Loss: 0.2841	LR: 0.000800
Training Epoch: 38 [46080/48700]	Loss: 0.2803	LR: 0.000800
Training Epoch: 38 [46336/48700]	Loss: 0.2485	LR: 0.000800
Training Epoch: 38 [46592/48700]	Loss: 0.3251	LR: 0.000800
Training Epoch: 38 [46848/48700]	Loss: 0.2812	LR: 0.000800
Training Epoch: 38 [47104/48700]	Loss: 0.3162	LR: 0.000800
Training Epoch: 38 [47360/48700]	Loss: 0.2932	LR: 0.000800
Training Epoch: 38 [47616/48700]	Loss: 0.3040	LR: 0.000800
Training Epoch: 38 [47872/48700]	Loss: 0.3137	LR: 0.000800
Training Epoch: 38 [48128/48700]	Loss: 0.2466	LR: 0.000800
Training Epoch: 38 [48384/48700]	Loss: 0.2955	LR: 0.000800
Training Epoch: 38 [48640/48700]	Loss: 0.2915	LR: 0.000800
Training Epoch: 38 [48700/48700]	Loss: 0.2293	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2977, Train Accuracy: 0.9102
Epoch 38 training time consumed: 26.79s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7877, Time consumed:0.91s
Training Epoch: 39 [256/48700]	Loss: 0.3452	LR: 0.000800
Training Epoch: 39 [512/48700]	Loss: 0.2499	LR: 0.000800
Training Epoch: 39 [768/48700]	Loss: 0.3155	LR: 0.000800
Training Epoch: 39 [1024/48700]	Loss: 0.3093	LR: 0.000800
Training Epoch: 39 [1280/48700]	Loss: 0.2880	LR: 0.000800
Training Epoch: 39 [1536/48700]	Loss: 0.3075	LR: 0.000800
Training Epoch: 39 [1792/48700]	Loss: 0.2978	LR: 0.000800
Training Epoch: 39 [2048/48700]	Loss: 0.2766	LR: 0.000800
Training Epoch: 39 [2304/48700]	Loss: 0.3383	LR: 0.000800
Training Epoch: 39 [2560/48700]	Loss: 0.3964	LR: 0.000800
Training Epoch: 39 [2816/48700]	Loss: 0.3480	LR: 0.000800
Training Epoch: 39 [3072/48700]	Loss: 0.3345	LR: 0.000800
Training Epoch: 39 [3328/48700]	Loss: 0.2853	LR: 0.000800
Training Epoch: 39 [3584/48700]	Loss: 0.2821	LR: 0.000800
Training Epoch: 39 [3840/48700]	Loss: 0.3773	LR: 0.000800
Training Epoch: 39 [4096/48700]	Loss: 0.2517	LR: 0.000800
Training Epoch: 39 [4352/48700]	Loss: 0.2607	LR: 0.000800
Training Epoch: 39 [4608/48700]	Loss: 0.2253	LR: 0.000800
Training Epoch: 39 [4864/48700]	Loss: 0.3116	LR: 0.000800
Training Epoch: 39 [5120/48700]	Loss: 0.2707	LR: 0.000800
Training Epoch: 39 [5376/48700]	Loss: 0.3205	LR: 0.000800
Training Epoch: 39 [5632/48700]	Loss: 0.3632	LR: 0.000800
Training Epoch: 39 [5888/48700]	Loss: 0.2663	LR: 0.000800
Training Epoch: 39 [6144/48700]	Loss: 0.2909	LR: 0.000800
Training Epoch: 39 [6400/48700]	Loss: 0.2424	LR: 0.000800
Training Epoch: 39 [6656/48700]	Loss: 0.3441	LR: 0.000800
Training Epoch: 39 [6912/48700]	Loss: 0.3047	LR: 0.000800
Training Epoch: 39 [7168/48700]	Loss: 0.2179	LR: 0.000800
Training Epoch: 39 [7424/48700]	Loss: 0.2306	LR: 0.000800
Training Epoch: 39 [7680/48700]	Loss: 0.2639	LR: 0.000800
Training Epoch: 39 [7936/48700]	Loss: 0.3112	LR: 0.000800
Training Epoch: 39 [8192/48700]	Loss: 0.2415	LR: 0.000800
Training Epoch: 39 [8448/48700]	Loss: 0.3316	LR: 0.000800
Training Epoch: 39 [8704/48700]	Loss: 0.2500	LR: 0.000800
Training Epoch: 39 [8960/48700]	Loss: 0.3205	LR: 0.000800
Training Epoch: 39 [9216/48700]	Loss: 0.3123	LR: 0.000800
Training Epoch: 39 [9472/48700]	Loss: 0.3098	LR: 0.000800
Training Epoch: 39 [9728/48700]	Loss: 0.2929	LR: 0.000800
Training Epoch: 39 [9984/48700]	Loss: 0.2987	LR: 0.000800
Training Epoch: 39 [10240/48700]	Loss: 0.2904	LR: 0.000800
Training Epoch: 39 [10496/48700]	Loss: 0.2446	LR: 0.000800
Training Epoch: 39 [10752/48700]	Loss: 0.2409	LR: 0.000800
Training Epoch: 39 [11008/48700]	Loss: 0.2979	LR: 0.000800
Training Epoch: 39 [11264/48700]	Loss: 0.2739	LR: 0.000800
Training Epoch: 39 [11520/48700]	Loss: 0.3262	LR: 0.000800
Training Epoch: 39 [11776/48700]	Loss: 0.3376	LR: 0.000800
Training Epoch: 39 [12032/48700]	Loss: 0.2235	LR: 0.000800
Training Epoch: 39 [12288/48700]	Loss: 0.3408	LR: 0.000800
Training Epoch: 39 [12544/48700]	Loss: 0.3219	LR: 0.000800
Training Epoch: 39 [12800/48700]	Loss: 0.2980	LR: 0.000800
Training Epoch: 39 [13056/48700]	Loss: 0.3169	LR: 0.000800
Training Epoch: 39 [13312/48700]	Loss: 0.2257	LR: 0.000800
Training Epoch: 39 [13568/48700]	Loss: 0.2599	LR: 0.000800
Training Epoch: 39 [13824/48700]	Loss: 0.3025	LR: 0.000800
Training Epoch: 39 [14080/48700]	Loss: 0.3316	LR: 0.000800
Training Epoch: 39 [14336/48700]	Loss: 0.2895	LR: 0.000800
Training Epoch: 39 [14592/48700]	Loss: 0.3254	LR: 0.000800
Training Epoch: 39 [14848/48700]	Loss: 0.2203	LR: 0.000800
Training Epoch: 39 [15104/48700]	Loss: 0.2844	LR: 0.000800
Training Epoch: 39 [15360/48700]	Loss: 0.3534	LR: 0.000800
Training Epoch: 39 [15616/48700]	Loss: 0.3094	LR: 0.000800
Training Epoch: 39 [15872/48700]	Loss: 0.3026	LR: 0.000800
Training Epoch: 39 [16128/48700]	Loss: 0.2489	LR: 0.000800
Training Epoch: 39 [16384/48700]	Loss: 0.2826	LR: 0.000800
Training Epoch: 39 [16640/48700]	Loss: 0.2963	LR: 0.000800
Training Epoch: 39 [16896/48700]	Loss: 0.2785	LR: 0.000800
Training Epoch: 39 [17152/48700]	Loss: 0.2333	LR: 0.000800
Training Epoch: 39 [17408/48700]	Loss: 0.3001	LR: 0.000800
Training Epoch: 39 [17664/48700]	Loss: 0.2920	LR: 0.000800
Training Epoch: 39 [17920/48700]	Loss: 0.3231	LR: 0.000800
Training Epoch: 39 [18176/48700]	Loss: 0.2706	LR: 0.000800
Training Epoch: 39 [18432/48700]	Loss: 0.3259	LR: 0.000800
Training Epoch: 39 [18688/48700]	Loss: 0.3124	LR: 0.000800
Training Epoch: 39 [18944/48700]	Loss: 0.2958	LR: 0.000800
Training Epoch: 39 [19200/48700]	Loss: 0.2801	LR: 0.000800
Training Epoch: 39 [19456/48700]	Loss: 0.2993	LR: 0.000800
Training Epoch: 39 [19712/48700]	Loss: 0.3742	LR: 0.000800
Training Epoch: 39 [19968/48700]	Loss: 0.2573	LR: 0.000800
Training Epoch: 39 [20224/48700]	Loss: 0.2859	LR: 0.000800
Training Epoch: 39 [20480/48700]	Loss: 0.3059	LR: 0.000800
Training Epoch: 39 [20736/48700]	Loss: 0.3438	LR: 0.000800
Training Epoch: 39 [20992/48700]	Loss: 0.3189	LR: 0.000800
Training Epoch: 39 [21248/48700]	Loss: 0.2819	LR: 0.000800
Training Epoch: 39 [21504/48700]	Loss: 0.2603	LR: 0.000800
Training Epoch: 39 [21760/48700]	Loss: 0.2739	LR: 0.000800
Training Epoch: 39 [22016/48700]	Loss: 0.2986	LR: 0.000800
Training Epoch: 39 [22272/48700]	Loss: 0.2980	LR: 0.000800
Training Epoch: 39 [22528/48700]	Loss: 0.3250	LR: 0.000800
Training Epoch: 39 [22784/48700]	Loss: 0.2895	LR: 0.000800
Training Epoch: 39 [23040/48700]	Loss: 0.2901	LR: 0.000800
Training Epoch: 39 [23296/48700]	Loss: 0.2234	LR: 0.000800
Training Epoch: 39 [23552/48700]	Loss: 0.2387	LR: 0.000800
Training Epoch: 39 [23808/48700]	Loss: 0.2670	LR: 0.000800
Training Epoch: 39 [24064/48700]	Loss: 0.3002	LR: 0.000800
Training Epoch: 39 [24320/48700]	Loss: 0.2634	LR: 0.000800
Training Epoch: 39 [24576/48700]	Loss: 0.2639	LR: 0.000800
Training Epoch: 39 [24832/48700]	Loss: 0.2574	LR: 0.000800
Training Epoch: 39 [25088/48700]	Loss: 0.3890	LR: 0.000800
Training Epoch: 39 [25344/48700]	Loss: 0.2917	LR: 0.000800
Training Epoch: 39 [25600/48700]	Loss: 0.2907	LR: 0.000800
Training Epoch: 39 [25856/48700]	Loss: 0.2747	LR: 0.000800
Training Epoch: 39 [26112/48700]	Loss: 0.2647	LR: 0.000800
Training Epoch: 39 [26368/48700]	Loss: 0.3146	LR: 0.000800
Training Epoch: 39 [26624/48700]	Loss: 0.2828	LR: 0.000800
Training Epoch: 39 [26880/48700]	Loss: 0.2731	LR: 0.000800
Training Epoch: 39 [27136/48700]	Loss: 0.3795	LR: 0.000800
Training Epoch: 39 [27392/48700]	Loss: 0.3125	LR: 0.000800
Training Epoch: 39 [27648/48700]	Loss: 0.2506	LR: 0.000800
Training Epoch: 39 [27904/48700]	Loss: 0.3193	LR: 0.000800
Training Epoch: 39 [28160/48700]	Loss: 0.2726	LR: 0.000800
Training Epoch: 39 [28416/48700]	Loss: 0.3325	LR: 0.000800
Training Epoch: 39 [28672/48700]	Loss: 0.2611	LR: 0.000800
Training Epoch: 39 [28928/48700]	Loss: 0.3028	LR: 0.000800
Training Epoch: 39 [29184/48700]	Loss: 0.3045	LR: 0.000800
Training Epoch: 39 [29440/48700]	Loss: 0.3721	LR: 0.000800
Training Epoch: 39 [29696/48700]	Loss: 0.2887	LR: 0.000800
Training Epoch: 39 [29952/48700]	Loss: 0.3315	LR: 0.000800
Training Epoch: 39 [30208/48700]	Loss: 0.2439	LR: 0.000800
Training Epoch: 39 [30464/48700]	Loss: 0.2612	LR: 0.000800
Training Epoch: 39 [30720/48700]	Loss: 0.3237	LR: 0.000800
Training Epoch: 39 [30976/48700]	Loss: 0.3341	LR: 0.000800
Training Epoch: 39 [31232/48700]	Loss: 0.3176	LR: 0.000800
Training Epoch: 39 [31488/48700]	Loss: 0.3250	LR: 0.000800
Training Epoch: 39 [31744/48700]	Loss: 0.2982	LR: 0.000800
Training Epoch: 39 [32000/48700]	Loss: 0.4081	LR: 0.000800
Training Epoch: 39 [32256/48700]	Loss: 0.2578	LR: 0.000800
Training Epoch: 39 [32512/48700]	Loss: 0.3112	LR: 0.000800
Training Epoch: 39 [32768/48700]	Loss: 0.3458	LR: 0.000800
Training Epoch: 39 [33024/48700]	Loss: 0.2904	LR: 0.000800
Training Epoch: 39 [33280/48700]	Loss: 0.3160	LR: 0.000800
Training Epoch: 39 [33536/48700]	Loss: 0.2743	LR: 0.000800
Training Epoch: 39 [33792/48700]	Loss: 0.3739	LR: 0.000800
Training Epoch: 39 [34048/48700]	Loss: 0.2778	LR: 0.000800
Training Epoch: 39 [34304/48700]	Loss: 0.3221	LR: 0.000800
Training Epoch: 39 [34560/48700]	Loss: 0.3170	LR: 0.000800
Training Epoch: 39 [34816/48700]	Loss: 0.3236	LR: 0.000800
Training Epoch: 39 [35072/48700]	Loss: 0.2476	LR: 0.000800
Training Epoch: 39 [35328/48700]	Loss: 0.2474	LR: 0.000800
Training Epoch: 39 [35584/48700]	Loss: 0.3216	LR: 0.000800
Training Epoch: 39 [35840/48700]	Loss: 0.2798	LR: 0.000800
Training Epoch: 39 [36096/48700]	Loss: 0.2384	LR: 0.000800
Training Epoch: 39 [36352/48700]	Loss: 0.2390	LR: 0.000800
Training Epoch: 39 [36608/48700]	Loss: 0.2784	LR: 0.000800
Training Epoch: 39 [36864/48700]	Loss: 0.2698	LR: 0.000800
Training Epoch: 39 [37120/48700]	Loss: 0.3522	LR: 0.000800
Training Epoch: 39 [37376/48700]	Loss: 0.3008	LR: 0.000800
Training Epoch: 39 [37632/48700]	Loss: 0.2890	LR: 0.000800
Training Epoch: 39 [37888/48700]	Loss: 0.2533	LR: 0.000800
Training Epoch: 39 [38144/48700]	Loss: 0.3249	LR: 0.000800
Training Epoch: 39 [38400/48700]	Loss: 0.2454	LR: 0.000800
Training Epoch: 39 [38656/48700]	Loss: 0.2962	LR: 0.000800
Training Epoch: 39 [38912/48700]	Loss: 0.2147	LR: 0.000800
Training Epoch: 39 [39168/48700]	Loss: 0.2945	LR: 0.000800
Training Epoch: 39 [39424/48700]	Loss: 0.3247	LR: 0.000800
Training Epoch: 39 [39680/48700]	Loss: 0.2465	LR: 0.000800
Training Epoch: 39 [39936/48700]	Loss: 0.3066	LR: 0.000800
Training Epoch: 39 [40192/48700]	Loss: 0.2783	LR: 0.000800
Training Epoch: 39 [40448/48700]	Loss: 0.2966	LR: 0.000800
Training Epoch: 39 [40704/48700]	Loss: 0.2260	LR: 0.000800
Training Epoch: 39 [40960/48700]	Loss: 0.3286	LR: 0.000800
Training Epoch: 39 [41216/48700]	Loss: 0.2953	LR: 0.000800
Training Epoch: 39 [41472/48700]	Loss: 0.2533	LR: 0.000800
Training Epoch: 39 [41728/48700]	Loss: 0.3113	LR: 0.000800
Training Epoch: 39 [41984/48700]	Loss: 0.3915	LR: 0.000800
Training Epoch: 39 [42240/48700]	Loss: 0.3310	LR: 0.000800
Training Epoch: 39 [42496/48700]	Loss: 0.3571	LR: 0.000800
Training Epoch: 39 [42752/48700]	Loss: 0.2702	LR: 0.000800
Training Epoch: 39 [43008/48700]	Loss: 0.3004	LR: 0.000800
Training Epoch: 39 [43264/48700]	Loss: 0.2913	LR: 0.000800
Training Epoch: 39 [43520/48700]	Loss: 0.2841	LR: 0.000800
Training Epoch: 39 [43776/48700]	Loss: 0.3427	LR: 0.000800
Training Epoch: 39 [44032/48700]	Loss: 0.2697	LR: 0.000800
Training Epoch: 39 [44288/48700]	Loss: 0.3303	LR: 0.000800
Training Epoch: 39 [44544/48700]	Loss: 0.2445	LR: 0.000800
Training Epoch: 39 [44800/48700]	Loss: 0.3204	LR: 0.000800
Training Epoch: 39 [45056/48700]	Loss: 0.2611	LR: 0.000800
Training Epoch: 39 [45312/48700]	Loss: 0.2891	LR: 0.000800
Training Epoch: 39 [45568/48700]	Loss: 0.3367	LR: 0.000800
Training Epoch: 39 [45824/48700]	Loss: 0.2261	LR: 0.000800
Training Epoch: 39 [46080/48700]	Loss: 0.3157	LR: 0.000800
Training Epoch: 39 [46336/48700]	Loss: 0.2423	LR: 0.000800
Training Epoch: 39 [46592/48700]	Loss: 0.3034	LR: 0.000800
Training Epoch: 39 [46848/48700]	Loss: 0.2964	LR: 0.000800
Training Epoch: 39 [47104/48700]	Loss: 0.2569	LR: 0.000800
Training Epoch: 39 [47360/48700]	Loss: 0.2399	LR: 0.000800
Training Epoch: 39 [47616/48700]	Loss: 0.2306	LR: 0.000800
Training Epoch: 39 [47872/48700]	Loss: 0.2644	LR: 0.000800
Training Epoch: 39 [48128/48700]	Loss: 0.3203	LR: 0.000800
Training Epoch: 39 [48384/48700]	Loss: 0.3705	LR: 0.000800
Training Epoch: 39 [48640/48700]	Loss: 0.2844	LR: 0.000800
Training Epoch: 39 [48700/48700]	Loss: 0.3143	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2943, Train Accuracy: 0.9118
Epoch 39 training time consumed: 26.83s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7866, Time consumed:0.88s
Training Epoch: 40 [256/48700]	Loss: 0.3058	LR: 0.000800
Training Epoch: 40 [512/48700]	Loss: 0.2195	LR: 0.000800
Training Epoch: 40 [768/48700]	Loss: 0.3070	LR: 0.000800
Training Epoch: 40 [1024/48700]	Loss: 0.2884	LR: 0.000800
Training Epoch: 40 [1280/48700]	Loss: 0.3049	LR: 0.000800
Training Epoch: 40 [1536/48700]	Loss: 0.2956	LR: 0.000800
Training Epoch: 40 [1792/48700]	Loss: 0.3684	LR: 0.000800
Training Epoch: 40 [2048/48700]	Loss: 0.3343	LR: 0.000800
Training Epoch: 40 [2304/48700]	Loss: 0.3501	LR: 0.000800
Training Epoch: 40 [2560/48700]	Loss: 0.2881	LR: 0.000800
Training Epoch: 40 [2816/48700]	Loss: 0.2648	LR: 0.000800
Training Epoch: 40 [3072/48700]	Loss: 0.2750	LR: 0.000800
Training Epoch: 40 [3328/48700]	Loss: 0.2358	LR: 0.000800
Training Epoch: 40 [3584/48700]	Loss: 0.3031	LR: 0.000800
Training Epoch: 40 [3840/48700]	Loss: 0.3088	LR: 0.000800
Training Epoch: 40 [4096/48700]	Loss: 0.2542	LR: 0.000800
Training Epoch: 40 [4352/48700]	Loss: 0.2219	LR: 0.000800
Training Epoch: 40 [4608/48700]	Loss: 0.2787	LR: 0.000800
Training Epoch: 40 [4864/48700]	Loss: 0.3311	LR: 0.000800
Training Epoch: 40 [5120/48700]	Loss: 0.3622	LR: 0.000800
Training Epoch: 40 [5376/48700]	Loss: 0.2179	LR: 0.000800
Training Epoch: 40 [5632/48700]	Loss: 0.2551	LR: 0.000800
Training Epoch: 40 [5888/48700]	Loss: 0.2659	LR: 0.000800
Training Epoch: 40 [6144/48700]	Loss: 0.3296	LR: 0.000800
Training Epoch: 40 [6400/48700]	Loss: 0.2843	LR: 0.000800
Training Epoch: 40 [6656/48700]	Loss: 0.3138	LR: 0.000800
Training Epoch: 40 [6912/48700]	Loss: 0.2368	LR: 0.000800
Training Epoch: 40 [7168/48700]	Loss: 0.2331	LR: 0.000800
Training Epoch: 40 [7424/48700]	Loss: 0.2562	LR: 0.000800
Training Epoch: 40 [7680/48700]	Loss: 0.2932	LR: 0.000800
Training Epoch: 40 [7936/48700]	Loss: 0.3216	LR: 0.000800
Training Epoch: 40 [8192/48700]	Loss: 0.3188	LR: 0.000800
Training Epoch: 40 [8448/48700]	Loss: 0.3016	LR: 0.000800
Training Epoch: 40 [8704/48700]	Loss: 0.2779	LR: 0.000800
Training Epoch: 40 [8960/48700]	Loss: 0.3285	LR: 0.000800
Training Epoch: 40 [9216/48700]	Loss: 0.3183	LR: 0.000800
Training Epoch: 40 [9472/48700]	Loss: 0.3735	LR: 0.000800
Training Epoch: 40 [9728/48700]	Loss: 0.2295	LR: 0.000800
Training Epoch: 40 [9984/48700]	Loss: 0.3691	LR: 0.000800
Training Epoch: 40 [10240/48700]	Loss: 0.3840	LR: 0.000800
Training Epoch: 40 [10496/48700]	Loss: 0.2107	LR: 0.000800
Training Epoch: 40 [10752/48700]	Loss: 0.3004	LR: 0.000800
Training Epoch: 40 [11008/48700]	Loss: 0.2558	LR: 0.000800
Training Epoch: 40 [11264/48700]	Loss: 0.3508	LR: 0.000800
Training Epoch: 40 [11520/48700]	Loss: 0.3613	LR: 0.000800
Training Epoch: 40 [11776/48700]	Loss: 0.3678	LR: 0.000800
Training Epoch: 40 [12032/48700]	Loss: 0.2923	LR: 0.000800
Training Epoch: 40 [12288/48700]	Loss: 0.2622	LR: 0.000800
Training Epoch: 40 [12544/48700]	Loss: 0.2836	LR: 0.000800
Training Epoch: 40 [12800/48700]	Loss: 0.2459	LR: 0.000800
Training Epoch: 40 [13056/48700]	Loss: 0.2683	LR: 0.000800
Training Epoch: 40 [13312/48700]	Loss: 0.3046	LR: 0.000800
Training Epoch: 40 [13568/48700]	Loss: 0.1807	LR: 0.000800
Training Epoch: 40 [13824/48700]	Loss: 0.2616	LR: 0.000800
Training Epoch: 40 [14080/48700]	Loss: 0.3018	LR: 0.000800
Training Epoch: 40 [14336/48700]	Loss: 0.2694	LR: 0.000800
Training Epoch: 40 [14592/48700]	Loss: 0.2197	LR: 0.000800
Training Epoch: 40 [14848/48700]	Loss: 0.2720	LR: 0.000800
Training Epoch: 40 [15104/48700]	Loss: 0.2268	LR: 0.000800
Training Epoch: 40 [15360/48700]	Loss: 0.3717	LR: 0.000800
Training Epoch: 40 [15616/48700]	Loss: 0.2249	LR: 0.000800
Training Epoch: 40 [15872/48700]	Loss: 0.2807	LR: 0.000800
Training Epoch: 40 [16128/48700]	Loss: 0.2865	LR: 0.000800
Training Epoch: 40 [16384/48700]	Loss: 0.2451	LR: 0.000800
Training Epoch: 40 [16640/48700]	Loss: 0.3377	LR: 0.000800
Training Epoch: 40 [16896/48700]	Loss: 0.3049	LR: 0.000800
Training Epoch: 40 [17152/48700]	Loss: 0.2881	LR: 0.000800
Training Epoch: 40 [17408/48700]	Loss: 0.2795	LR: 0.000800
Training Epoch: 40 [17664/48700]	Loss: 0.3495	LR: 0.000800
Training Epoch: 40 [17920/48700]	Loss: 0.3296	LR: 0.000800
Training Epoch: 40 [18176/48700]	Loss: 0.2986	LR: 0.000800
Training Epoch: 40 [18432/48700]	Loss: 0.2864	LR: 0.000800
Training Epoch: 40 [18688/48700]	Loss: 0.2590	LR: 0.000800
Training Epoch: 40 [18944/48700]	Loss: 0.2622	LR: 0.000800
Training Epoch: 40 [19200/48700]	Loss: 0.2695	LR: 0.000800
Training Epoch: 40 [19456/48700]	Loss: 0.2746	LR: 0.000800
Training Epoch: 40 [19712/48700]	Loss: 0.2863	LR: 0.000800
Training Epoch: 40 [19968/48700]	Loss: 0.3223	LR: 0.000800
Training Epoch: 40 [20224/48700]	Loss: 0.2927	LR: 0.000800
Training Epoch: 40 [20480/48700]	Loss: 0.3507	LR: 0.000800
Training Epoch: 40 [20736/48700]	Loss: 0.2827	LR: 0.000800
Training Epoch: 40 [20992/48700]	Loss: 0.2441	LR: 0.000800
Training Epoch: 40 [21248/48700]	Loss: 0.2365	LR: 0.000800
Training Epoch: 40 [21504/48700]	Loss: 0.2297	LR: 0.000800
Training Epoch: 40 [21760/48700]	Loss: 0.3900	LR: 0.000800
Training Epoch: 40 [22016/48700]	Loss: 0.2828	LR: 0.000800
Training Epoch: 40 [22272/48700]	Loss: 0.3349	LR: 0.000800
Training Epoch: 40 [22528/48700]	Loss: 0.2967	LR: 0.000800
Training Epoch: 40 [22784/48700]	Loss: 0.3198	LR: 0.000800
Training Epoch: 40 [23040/48700]	Loss: 0.3599	LR: 0.000800
Training Epoch: 40 [23296/48700]	Loss: 0.2721	LR: 0.000800
Training Epoch: 40 [23552/48700]	Loss: 0.3209	LR: 0.000800
Training Epoch: 40 [23808/48700]	Loss: 0.2701	LR: 0.000800
Training Epoch: 40 [24064/48700]	Loss: 0.2393	LR: 0.000800
Training Epoch: 40 [24320/48700]	Loss: 0.3089	LR: 0.000800
Training Epoch: 40 [24576/48700]	Loss: 0.2912	LR: 0.000800
Training Epoch: 40 [24832/48700]	Loss: 0.3596	LR: 0.000800
Training Epoch: 40 [25088/48700]	Loss: 0.2777	LR: 0.000800
Training Epoch: 40 [25344/48700]	Loss: 0.3079	LR: 0.000800
Training Epoch: 40 [25600/48700]	Loss: 0.2973	LR: 0.000800
Training Epoch: 40 [25856/48700]	Loss: 0.2519	LR: 0.000800
Training Epoch: 40 [26112/48700]	Loss: 0.2428	LR: 0.000800
Training Epoch: 40 [26368/48700]	Loss: 0.1842	LR: 0.000800
Training Epoch: 40 [26624/48700]	Loss: 0.3316	LR: 0.000800
Training Epoch: 40 [26880/48700]	Loss: 0.2618	LR: 0.000800
Training Epoch: 40 [27136/48700]	Loss: 0.3249	LR: 0.000800
Training Epoch: 40 [27392/48700]	Loss: 0.2780	LR: 0.000800
Training Epoch: 40 [27648/48700]	Loss: 0.2409	LR: 0.000800
Training Epoch: 40 [27904/48700]	Loss: 0.2602	LR: 0.000800
Training Epoch: 40 [28160/48700]	Loss: 0.3247	LR: 0.000800
Training Epoch: 40 [28416/48700]	Loss: 0.2390	LR: 0.000800
Training Epoch: 40 [28672/48700]	Loss: 0.3176	LR: 0.000800
Training Epoch: 40 [28928/48700]	Loss: 0.3383	LR: 0.000800
Training Epoch: 40 [29184/48700]	Loss: 0.3344	LR: 0.000800
Training Epoch: 40 [29440/48700]	Loss: 0.2819	LR: 0.000800
Training Epoch: 40 [29696/48700]	Loss: 0.3540	LR: 0.000800
Training Epoch: 40 [29952/48700]	Loss: 0.3398	LR: 0.000800
Training Epoch: 40 [30208/48700]	Loss: 0.3298	LR: 0.000800
Training Epoch: 40 [30464/48700]	Loss: 0.2608	LR: 0.000800
Training Epoch: 40 [30720/48700]	Loss: 0.2653	LR: 0.000800
Training Epoch: 40 [30976/48700]	Loss: 0.3054	LR: 0.000800
Training Epoch: 40 [31232/48700]	Loss: 0.2686	LR: 0.000800
Training Epoch: 40 [31488/48700]	Loss: 0.2870	LR: 0.000800
Training Epoch: 40 [31744/48700]	Loss: 0.2837	LR: 0.000800
Training Epoch: 40 [32000/48700]	Loss: 0.2797	LR: 0.000800
Training Epoch: 40 [32256/48700]	Loss: 0.3286	LR: 0.000800
Training Epoch: 40 [32512/48700]	Loss: 0.3316	LR: 0.000800
Training Epoch: 40 [32768/48700]	Loss: 0.2617	LR: 0.000800
Training Epoch: 40 [33024/48700]	Loss: 0.3385	LR: 0.000800
Training Epoch: 40 [33280/48700]	Loss: 0.3007	LR: 0.000800
Training Epoch: 40 [33536/48700]	Loss: 0.3259	LR: 0.000800
Training Epoch: 40 [33792/48700]	Loss: 0.2964	LR: 0.000800
Training Epoch: 40 [34048/48700]	Loss: 0.2769	LR: 0.000800
Training Epoch: 40 [34304/48700]	Loss: 0.2454	LR: 0.000800
Training Epoch: 40 [34560/48700]	Loss: 0.2583	LR: 0.000800
Training Epoch: 40 [34816/48700]	Loss: 0.2431	LR: 0.000800
Training Epoch: 40 [35072/48700]	Loss: 0.3022	LR: 0.000800
Training Epoch: 40 [35328/48700]	Loss: 0.2653	LR: 0.000800
Training Epoch: 40 [35584/48700]	Loss: 0.2839	LR: 0.000800
Training Epoch: 40 [35840/48700]	Loss: 0.3827	LR: 0.000800
Training Epoch: 40 [36096/48700]	Loss: 0.2717	LR: 0.000800
Training Epoch: 40 [36352/48700]	Loss: 0.2848	LR: 0.000800
Training Epoch: 40 [36608/48700]	Loss: 0.3237	LR: 0.000800
Training Epoch: 40 [36864/48700]	Loss: 0.2822	LR: 0.000800
Training Epoch: 40 [37120/48700]	Loss: 0.2668	LR: 0.000800
Training Epoch: 40 [37376/48700]	Loss: 0.2857	LR: 0.000800
Training Epoch: 40 [37632/48700]	Loss: 0.3599	LR: 0.000800
Training Epoch: 40 [37888/48700]	Loss: 0.2865	LR: 0.000800
Training Epoch: 40 [38144/48700]	Loss: 0.3379	LR: 0.000800
Training Epoch: 40 [38400/48700]	Loss: 0.3365	LR: 0.000800
Training Epoch: 40 [38656/48700]	Loss: 0.2065	LR: 0.000800
Training Epoch: 40 [38912/48700]	Loss: 0.3286	LR: 0.000800
Training Epoch: 40 [39168/48700]	Loss: 0.2875	LR: 0.000800
Training Epoch: 40 [39424/48700]	Loss: 0.2816	LR: 0.000800
Training Epoch: 40 [39680/48700]	Loss: 0.2934	LR: 0.000800
Training Epoch: 40 [39936/48700]	Loss: 0.3126	LR: 0.000800
Training Epoch: 40 [40192/48700]	Loss: 0.3129	LR: 0.000800
Training Epoch: 40 [40448/48700]	Loss: 0.2937	LR: 0.000800
Training Epoch: 40 [40704/48700]	Loss: 0.2692	LR: 0.000800
Training Epoch: 40 [40960/48700]	Loss: 0.3098	LR: 0.000800
Training Epoch: 40 [41216/48700]	Loss: 0.3582	LR: 0.000800
Training Epoch: 40 [41472/48700]	Loss: 0.3079	LR: 0.000800
Training Epoch: 40 [41728/48700]	Loss: 0.3576	LR: 0.000800
Training Epoch: 40 [41984/48700]	Loss: 0.2900	LR: 0.000800
Training Epoch: 40 [42240/48700]	Loss: 0.2591	LR: 0.000800
Training Epoch: 40 [42496/48700]	Loss: 0.3173	LR: 0.000800
Training Epoch: 40 [42752/48700]	Loss: 0.2571	LR: 0.000800
Training Epoch: 40 [43008/48700]	Loss: 0.3236	LR: 0.000800
Training Epoch: 40 [43264/48700]	Loss: 0.3497	LR: 0.000800
Training Epoch: 40 [43520/48700]	Loss: 0.2008	LR: 0.000800
Training Epoch: 40 [43776/48700]	Loss: 0.3122	LR: 0.000800
Training Epoch: 40 [44032/48700]	Loss: 0.2304	LR: 0.000800
Training Epoch: 40 [44288/48700]	Loss: 0.2109	LR: 0.000800
Training Epoch: 40 [44544/48700]	Loss: 0.2069	LR: 0.000800
Training Epoch: 40 [44800/48700]	Loss: 0.3466	LR: 0.000800
Training Epoch: 40 [45056/48700]	Loss: 0.2762	LR: 0.000800
Training Epoch: 40 [45312/48700]	Loss: 0.2656	LR: 0.000800
Training Epoch: 40 [45568/48700]	Loss: 0.3823	LR: 0.000800
Training Epoch: 40 [45824/48700]	Loss: 0.2724	LR: 0.000800
Training Epoch: 40 [46080/48700]	Loss: 0.2589	LR: 0.000800
Training Epoch: 40 [46336/48700]	Loss: 0.2802	LR: 0.000800
Training Epoch: 40 [46592/48700]	Loss: 0.2514	LR: 0.000800
Training Epoch: 40 [46848/48700]	Loss: 0.3344	LR: 0.000800
Training Epoch: 40 [47104/48700]	Loss: 0.2811	LR: 0.000800
Training Epoch: 40 [47360/48700]	Loss: 0.2521	LR: 0.000800
Training Epoch: 40 [47616/48700]	Loss: 0.3166	LR: 0.000800
Training Epoch: 40 [47872/48700]	Loss: 0.3438	LR: 0.000800
Training Epoch: 40 [48128/48700]	Loss: 0.4031	LR: 0.000800
Training Epoch: 40 [48384/48700]	Loss: 0.2587	LR: 0.000800
Training Epoch: 40 [48640/48700]	Loss: 0.2544	LR: 0.000800
Training Epoch: 40 [48700/48700]	Loss: 0.3525	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2921, Train Accuracy: 0.9116
Epoch 40 training time consumed: 26.79s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.7871, Time consumed:0.89s
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: 78.916015625
Retain Accuracy: 91.93170928955078
Zero-Retain Forget (ZRF): 0.9120295643806458
Membership Inference Attack (MIA): 0.44
Forget vs Retain Membership Inference Attack (MIA): 0.6115384615384616
Forget vs Test Membership Inference Attack (MIA): 0.55
Test vs Retain Membership Inference Attack (MIA): 0.4955
Train vs Test Membership Inference Attack (MIA): 0.56675
Forget Set Accuracy (Df): 75.72916412353516
Method Execution Time: 1619.11 seconds
