
📌 S Retain class distribution for seed 4:
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 4:
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: 3.0147	LR: 0.000000
Training Epoch: 1 [512/48700]	Loss: 2.9989	LR: 0.000524
Training Epoch: 1 [768/48700]	Loss: 3.0356	LR: 0.001047
Training Epoch: 1 [1024/48700]	Loss: 3.0079	LR: 0.001571
Training Epoch: 1 [1280/48700]	Loss: 2.9871	LR: 0.002094
Training Epoch: 1 [1536/48700]	Loss: 2.9929	LR: 0.002618
Training Epoch: 1 [1792/48700]	Loss: 3.0197	LR: 0.003141
Training Epoch: 1 [2048/48700]	Loss: 2.9799	LR: 0.003665
Training Epoch: 1 [2304/48700]	Loss: 2.9587	LR: 0.004188
Training Epoch: 1 [2560/48700]	Loss: 2.9720	LR: 0.004712
Training Epoch: 1 [2816/48700]	Loss: 2.9386	LR: 0.005236
Training Epoch: 1 [3072/48700]	Loss: 2.9286	LR: 0.005759
Training Epoch: 1 [3328/48700]	Loss: 2.9244	LR: 0.006283
Training Epoch: 1 [3584/48700]	Loss: 2.8689	LR: 0.006806
Training Epoch: 1 [3840/48700]	Loss: 2.9050	LR: 0.007330
Training Epoch: 1 [4096/48700]	Loss: 2.8549	LR: 0.007853
Training Epoch: 1 [4352/48700]	Loss: 2.8709	LR: 0.008377
Training Epoch: 1 [4608/48700]	Loss: 2.8582	LR: 0.008901
Training Epoch: 1 [4864/48700]	Loss: 2.8163	LR: 0.009424
Training Epoch: 1 [5120/48700]	Loss: 2.8246	LR: 0.009948
Training Epoch: 1 [5376/48700]	Loss: 2.7679	LR: 0.010471
Training Epoch: 1 [5632/48700]	Loss: 2.8144	LR: 0.010995
Training Epoch: 1 [5888/48700]	Loss: 2.8116	LR: 0.011518
Training Epoch: 1 [6144/48700]	Loss: 2.7981	LR: 0.012042
Training Epoch: 1 [6400/48700]	Loss: 2.7349	LR: 0.012565
Training Epoch: 1 [6656/48700]	Loss: 2.7576	LR: 0.013089
Training Epoch: 1 [6912/48700]	Loss: 2.6780	LR: 0.013613
Training Epoch: 1 [7168/48700]	Loss: 2.7331	LR: 0.014136
Training Epoch: 1 [7424/48700]	Loss: 2.7535	LR: 0.014660
Training Epoch: 1 [7680/48700]	Loss: 2.7323	LR: 0.015183
Training Epoch: 1 [7936/48700]	Loss: 2.7480	LR: 0.015707
Training Epoch: 1 [8192/48700]	Loss: 2.7467	LR: 0.016230
Training Epoch: 1 [8448/48700]	Loss: 2.6884	LR: 0.016754
Training Epoch: 1 [8704/48700]	Loss: 2.7165	LR: 0.017277
Training Epoch: 1 [8960/48700]	Loss: 2.7064	LR: 0.017801
Training Epoch: 1 [9216/48700]	Loss: 2.6368	LR: 0.018325
Training Epoch: 1 [9472/48700]	Loss: 2.6473	LR: 0.018848
Training Epoch: 1 [9728/48700]	Loss: 2.6555	LR: 0.019372
Training Epoch: 1 [9984/48700]	Loss: 2.8057	LR: 0.019895
Training Epoch: 1 [10240/48700]	Loss: 2.6354	LR: 0.020419
Training Epoch: 1 [10496/48700]	Loss: 2.5653	LR: 0.020942
Training Epoch: 1 [10752/48700]	Loss: 2.5733	LR: 0.021466
Training Epoch: 1 [11008/48700]	Loss: 2.5325	LR: 0.021990
Training Epoch: 1 [11264/48700]	Loss: 2.6145	LR: 0.022513
Training Epoch: 1 [11520/48700]	Loss: 2.5996	LR: 0.023037
Training Epoch: 1 [11776/48700]	Loss: 2.5674	LR: 0.023560
Training Epoch: 1 [12032/48700]	Loss: 2.6889	LR: 0.024084
Training Epoch: 1 [12288/48700]	Loss: 2.6147	LR: 0.024607
Training Epoch: 1 [12544/48700]	Loss: 2.4717	LR: 0.025131
Training Epoch: 1 [12800/48700]	Loss: 2.5114	LR: 0.025654
Training Epoch: 1 [13056/48700]	Loss: 2.5349	LR: 0.026178
Training Epoch: 1 [13312/48700]	Loss: 2.5558	LR: 0.026702
Training Epoch: 1 [13568/48700]	Loss: 2.5951	LR: 0.027225
Training Epoch: 1 [13824/48700]	Loss: 2.4668	LR: 0.027749
Training Epoch: 1 [14080/48700]	Loss: 2.5950	LR: 0.028272
Training Epoch: 1 [14336/48700]	Loss: 2.5657	LR: 0.028796
Training Epoch: 1 [14592/48700]	Loss: 2.4672	LR: 0.029319
Training Epoch: 1 [14848/48700]	Loss: 2.5676	LR: 0.029843
Training Epoch: 1 [15104/48700]	Loss: 2.4464	LR: 0.030366
Training Epoch: 1 [15360/48700]	Loss: 2.4508	LR: 0.030890
Training Epoch: 1 [15616/48700]	Loss: 2.4825	LR: 0.031414
Training Epoch: 1 [15872/48700]	Loss: 2.4756	LR: 0.031937
Training Epoch: 1 [16128/48700]	Loss: 2.4915	LR: 0.032461
Training Epoch: 1 [16384/48700]	Loss: 2.5553	LR: 0.032984
Training Epoch: 1 [16640/48700]	Loss: 2.4607	LR: 0.033508
Training Epoch: 1 [16896/48700]	Loss: 2.4318	LR: 0.034031
Training Epoch: 1 [17152/48700]	Loss: 2.4724	LR: 0.034555
Training Epoch: 1 [17408/48700]	Loss: 2.5684	LR: 0.035079
Training Epoch: 1 [17664/48700]	Loss: 2.4822	LR: 0.035602
Training Epoch: 1 [17920/48700]	Loss: 2.4763	LR: 0.036126
Training Epoch: 1 [18176/48700]	Loss: 2.4978	LR: 0.036649
Training Epoch: 1 [18432/48700]	Loss: 2.3975	LR: 0.037173
Training Epoch: 1 [18688/48700]	Loss: 2.5322	LR: 0.037696
Training Epoch: 1 [18944/48700]	Loss: 2.5695	LR: 0.038220
Training Epoch: 1 [19200/48700]	Loss: 2.5326	LR: 0.038743
Training Epoch: 1 [19456/48700]	Loss: 2.4368	LR: 0.039267
Training Epoch: 1 [19712/48700]	Loss: 2.5610	LR: 0.039791
Training Epoch: 1 [19968/48700]	Loss: 2.4396	LR: 0.040314
Training Epoch: 1 [20224/48700]	Loss: 2.5178	LR: 0.040838
Training Epoch: 1 [20480/48700]	Loss: 2.5183	LR: 0.041361
Training Epoch: 1 [20736/48700]	Loss: 2.5222	LR: 0.041885
Training Epoch: 1 [20992/48700]	Loss: 2.4564	LR: 0.042408
Training Epoch: 1 [21248/48700]	Loss: 2.5829	LR: 0.042932
Training Epoch: 1 [21504/48700]	Loss: 2.4799	LR: 0.043455
Training Epoch: 1 [21760/48700]	Loss: 2.4800	LR: 0.043979
Training Epoch: 1 [22016/48700]	Loss: 2.5012	LR: 0.044503
Training Epoch: 1 [22272/48700]	Loss: 2.5549	LR: 0.045026
Training Epoch: 1 [22528/48700]	Loss: 2.2783	LR: 0.045550
Training Epoch: 1 [22784/48700]	Loss: 2.4433	LR: 0.046073
Training Epoch: 1 [23040/48700]	Loss: 2.4223	LR: 0.046597
Training Epoch: 1 [23296/48700]	Loss: 2.5098	LR: 0.047120
Training Epoch: 1 [23552/48700]	Loss: 2.5173	LR: 0.047644
Training Epoch: 1 [23808/48700]	Loss: 2.4035	LR: 0.048168
Training Epoch: 1 [24064/48700]	Loss: 2.4246	LR: 0.048691
Training Epoch: 1 [24320/48700]	Loss: 2.4789	LR: 0.049215
Training Epoch: 1 [24576/48700]	Loss: 2.5988	LR: 0.049738
Training Epoch: 1 [24832/48700]	Loss: 2.4687	LR: 0.050262
Training Epoch: 1 [25088/48700]	Loss: 2.3850	LR: 0.050785
Training Epoch: 1 [25344/48700]	Loss: 2.4276	LR: 0.051309
Training Epoch: 1 [25600/48700]	Loss: 2.3835	LR: 0.051832
Training Epoch: 1 [25856/48700]	Loss: 2.3779	LR: 0.052356
Training Epoch: 1 [26112/48700]	Loss: 2.4624	LR: 0.052880
Training Epoch: 1 [26368/48700]	Loss: 2.3175	LR: 0.053403
Training Epoch: 1 [26624/48700]	Loss: 2.4954	LR: 0.053927
Training Epoch: 1 [26880/48700]	Loss: 2.4370	LR: 0.054450
Training Epoch: 1 [27136/48700]	Loss: 2.3932	LR: 0.054974
Training Epoch: 1 [27392/48700]	Loss: 2.4234	LR: 0.055497
Training Epoch: 1 [27648/48700]	Loss: 2.5463	LR: 0.056021
Training Epoch: 1 [27904/48700]	Loss: 2.4640	LR: 0.056545
Training Epoch: 1 [28160/48700]	Loss: 2.5208	LR: 0.057068
Training Epoch: 1 [28416/48700]	Loss: 2.4550	LR: 0.057592
Training Epoch: 1 [28672/48700]	Loss: 2.3876	LR: 0.058115
Training Epoch: 1 [28928/48700]	Loss: 2.4573	LR: 0.058639
Training Epoch: 1 [29184/48700]	Loss: 2.3980	LR: 0.059162
Training Epoch: 1 [29440/48700]	Loss: 2.2586	LR: 0.059686
Training Epoch: 1 [29696/48700]	Loss: 2.4275	LR: 0.060209
Training Epoch: 1 [29952/48700]	Loss: 2.4504	LR: 0.060733
Training Epoch: 1 [30208/48700]	Loss: 2.5127	LR: 0.061257
Training Epoch: 1 [30464/48700]	Loss: 2.4536	LR: 0.061780
Training Epoch: 1 [30720/48700]	Loss: 2.3567	LR: 0.062304
Training Epoch: 1 [30976/48700]	Loss: 2.2911	LR: 0.062827
Training Epoch: 1 [31232/48700]	Loss: 2.4164	LR: 0.063351
Training Epoch: 1 [31488/48700]	Loss: 2.3166	LR: 0.063874
Training Epoch: 1 [31744/48700]	Loss: 2.3970	LR: 0.064398
Training Epoch: 1 [32000/48700]	Loss: 2.5050	LR: 0.064921
Training Epoch: 1 [32256/48700]	Loss: 2.4054	LR: 0.065445
Training Epoch: 1 [32512/48700]	Loss: 2.4813	LR: 0.065969
Training Epoch: 1 [32768/48700]	Loss: 2.3644	LR: 0.066492
Training Epoch: 1 [33024/48700]	Loss: 2.4867	LR: 0.067016
Training Epoch: 1 [33280/48700]	Loss: 2.3647	LR: 0.067539
Training Epoch: 1 [33536/48700]	Loss: 2.4289	LR: 0.068063
Training Epoch: 1 [33792/48700]	Loss: 2.4585	LR: 0.068586
Training Epoch: 1 [34048/48700]	Loss: 2.5089	LR: 0.069110
Training Epoch: 1 [34304/48700]	Loss: 2.3087	LR: 0.069634
Training Epoch: 1 [34560/48700]	Loss: 2.3547	LR: 0.070157
Training Epoch: 1 [34816/48700]	Loss: 2.4826	LR: 0.070681
Training Epoch: 1 [35072/48700]	Loss: 2.4373	LR: 0.071204
Training Epoch: 1 [35328/48700]	Loss: 2.3735	LR: 0.071728
Training Epoch: 1 [35584/48700]	Loss: 2.2956	LR: 0.072251
Training Epoch: 1 [35840/48700]	Loss: 2.3663	LR: 0.072775
Training Epoch: 1 [36096/48700]	Loss: 2.5549	LR: 0.073298
Training Epoch: 1 [36352/48700]	Loss: 2.3227	LR: 0.073822
Training Epoch: 1 [36608/48700]	Loss: 2.3056	LR: 0.074346
Training Epoch: 1 [36864/48700]	Loss: 2.4261	LR: 0.074869
Training Epoch: 1 [37120/48700]	Loss: 2.2670	LR: 0.075393
Training Epoch: 1 [37376/48700]	Loss: 2.3966	LR: 0.075916
Training Epoch: 1 [37632/48700]	Loss: 2.4226	LR: 0.076440
Training Epoch: 1 [37888/48700]	Loss: 2.4159	LR: 0.076963
Training Epoch: 1 [38144/48700]	Loss: 2.1802	LR: 0.077487
Training Epoch: 1 [38400/48700]	Loss: 2.3663	LR: 0.078010
Training Epoch: 1 [38656/48700]	Loss: 2.5301	LR: 0.078534
Training Epoch: 1 [38912/48700]	Loss: 2.3994	LR: 0.079058
Training Epoch: 1 [39168/48700]	Loss: 2.3596	LR: 0.079581
Training Epoch: 1 [39424/48700]	Loss: 2.3857	LR: 0.080105
Training Epoch: 1 [39680/48700]	Loss: 2.3379	LR: 0.080628
Training Epoch: 1 [39936/48700]	Loss: 2.3841	LR: 0.081152
Training Epoch: 1 [40192/48700]	Loss: 2.4078	LR: 0.081675
Training Epoch: 1 [40448/48700]	Loss: 2.4404	LR: 0.082199
Training Epoch: 1 [40704/48700]	Loss: 2.4122	LR: 0.082723
Training Epoch: 1 [40960/48700]	Loss: 2.2824	LR: 0.083246
Training Epoch: 1 [41216/48700]	Loss: 2.2984	LR: 0.083770
Training Epoch: 1 [41472/48700]	Loss: 2.3589	LR: 0.084293
Training Epoch: 1 [41728/48700]	Loss: 2.3741	LR: 0.084817
Training Epoch: 1 [41984/48700]	Loss: 2.3430	LR: 0.085340
Training Epoch: 1 [42240/48700]	Loss: 2.3676	LR: 0.085864
Training Epoch: 1 [42496/48700]	Loss: 2.3205	LR: 0.086387
Training Epoch: 1 [42752/48700]	Loss: 2.4766	LR: 0.086911
Training Epoch: 1 [43008/48700]	Loss: 2.4444	LR: 0.087435
Training Epoch: 1 [43264/48700]	Loss: 2.2697	LR: 0.087958
Training Epoch: 1 [43520/48700]	Loss: 2.3393	LR: 0.088482
Training Epoch: 1 [43776/48700]	Loss: 2.2875	LR: 0.089005
Training Epoch: 1 [44032/48700]	Loss: 2.2978	LR: 0.089529
Training Epoch: 1 [44288/48700]	Loss: 2.3010	LR: 0.090052
Training Epoch: 1 [44544/48700]	Loss: 2.3581	LR: 0.090576
Training Epoch: 1 [44800/48700]	Loss: 2.1826	LR: 0.091099
Training Epoch: 1 [45056/48700]	Loss: 2.2747	LR: 0.091623
Training Epoch: 1 [45312/48700]	Loss: 2.3571	LR: 0.092147
Training Epoch: 1 [45568/48700]	Loss: 2.4941	LR: 0.092670
Training Epoch: 1 [45824/48700]	Loss: 2.2009	LR: 0.093194
Training Epoch: 1 [46080/48700]	Loss: 2.2484	LR: 0.093717
Training Epoch: 1 [46336/48700]	Loss: 2.3085	LR: 0.094241
Training Epoch: 1 [46592/48700]	Loss: 2.3623	LR: 0.094764
Training Epoch: 1 [46848/48700]	Loss: 2.3242	LR: 0.095288
Training Epoch: 1 [47104/48700]	Loss: 2.4337	LR: 0.095812
Training Epoch: 1 [47360/48700]	Loss: 2.2022	LR: 0.096335
Training Epoch: 1 [47616/48700]	Loss: 2.3206	LR: 0.096859
Training Epoch: 1 [47872/48700]	Loss: 2.3149	LR: 0.097382
Training Epoch: 1 [48128/48700]	Loss: 2.3071	LR: 0.097906
Training Epoch: 1 [48384/48700]	Loss: 2.3161	LR: 0.098429
Training Epoch: 1 [48640/48700]	Loss: 2.3417	LR: 0.098953
Training Epoch: 1 [48700/48700]	Loss: 1.9609	LR: 0.099476
Epoch 1 - Average Train Loss: 2.5130, Train Accuracy: 0.2218
Epoch 1 training time consumed: 27.65s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0099, Accuracy: 0.2423, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-1-best.pth
Training Epoch: 2 [256/48700]	Loss: 2.2300	LR: 0.100000
Training Epoch: 2 [512/48700]	Loss: 2.3886	LR: 0.100000
Training Epoch: 2 [768/48700]	Loss: 2.2317	LR: 0.100000
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Training Epoch: 2 [48640/48700]	Loss: 2.0631	LR: 0.100000
Training Epoch: 2 [48700/48700]	Loss: 2.0764	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1570, Train Accuracy: 0.3306
Epoch 2 training time consumed: 26.79s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0092, Accuracy: 0.3170, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-2-best.pth
Training Epoch: 3 [256/48700]	Loss: 2.2390	LR: 0.100000
Training Epoch: 3 [512/48700]	Loss: 1.9559	LR: 0.100000
Training Epoch: 3 [768/48700]	Loss: 2.0650	LR: 0.100000
Training Epoch: 3 [1024/48700]	Loss: 1.9914	LR: 0.100000
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Training Epoch: 3 [47104/48700]	Loss: 1.9048	LR: 0.100000
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Training Epoch: 3 [47616/48700]	Loss: 1.8208	LR: 0.100000
Training Epoch: 3 [47872/48700]	Loss: 1.7118	LR: 0.100000
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Training Epoch: 3 [48640/48700]	Loss: 1.8480	LR: 0.100000
Training Epoch: 3 [48700/48700]	Loss: 1.7444	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9165, Train Accuracy: 0.4016
Epoch 3 training time consumed: 26.85s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0073, Accuracy: 0.4205, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-3-best.pth
Training Epoch: 4 [256/48700]	Loss: 1.7522	LR: 0.100000
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Training Epoch: 4 [48700/48700]	Loss: 1.6658	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7448, Train Accuracy: 0.4511
Epoch 4 training time consumed: 27.01s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0075, Accuracy: 0.4260, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-4-best.pth
Training Epoch: 5 [256/48700]	Loss: 1.6993	LR: 0.100000
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Training Epoch: 5 [48700/48700]	Loss: 1.3216	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5846, Train Accuracy: 0.4980
Epoch 5 training time consumed: 27.05s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0069, Accuracy: 0.4644, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-5-best.pth
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Training Epoch: 6 [48700/48700]	Loss: 1.4997	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4700, Train Accuracy: 0.5317
Epoch 6 training time consumed: 26.87s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0059, Accuracy: 0.5336, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-6-best.pth
Training Epoch: 7 [256/48700]	Loss: 1.3138	LR: 0.100000
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Training Epoch: 7 [48700/48700]	Loss: 1.1261	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3618, Train Accuracy: 0.5642
Epoch 7 training time consumed: 26.76s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0062, Accuracy: 0.5283, Time consumed:0.90s
Training Epoch: 8 [256/48700]	Loss: 1.4085	LR: 0.100000
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Training Epoch: 8 [7680/48700]	Loss: 1.2186	LR: 0.100000
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Training Epoch: 8 [8192/48700]	Loss: 1.1891	LR: 0.100000
Training Epoch: 8 [8448/48700]	Loss: 1.2718	LR: 0.100000
Training Epoch: 8 [8704/48700]	Loss: 1.2968	LR: 0.100000
Training Epoch: 8 [8960/48700]	Loss: 1.1514	LR: 0.100000
Training Epoch: 8 [9216/48700]	Loss: 1.2819	LR: 0.100000
Training Epoch: 8 [9472/48700]	Loss: 1.2195	LR: 0.100000
Training Epoch: 8 [9728/48700]	Loss: 1.3496	LR: 0.100000
Training Epoch: 8 [9984/48700]	Loss: 1.4588	LR: 0.100000
Training Epoch: 8 [10240/48700]	Loss: 1.4543	LR: 0.100000
Training Epoch: 8 [10496/48700]	Loss: 1.4655	LR: 0.100000
Training Epoch: 8 [10752/48700]	Loss: 1.4265	LR: 0.100000
Training Epoch: 8 [11008/48700]	Loss: 1.2211	LR: 0.100000
Training Epoch: 8 [11264/48700]	Loss: 1.1970	LR: 0.100000
Training Epoch: 8 [11520/48700]	Loss: 1.3678	LR: 0.100000
Training Epoch: 8 [11776/48700]	Loss: 1.4135	LR: 0.100000
Training Epoch: 8 [12032/48700]	Loss: 1.2630	LR: 0.100000
Training Epoch: 8 [12288/48700]	Loss: 1.4569	LR: 0.100000
Training Epoch: 8 [12544/48700]	Loss: 1.2900	LR: 0.100000
Training Epoch: 8 [12800/48700]	Loss: 1.2314	LR: 0.100000
Training Epoch: 8 [13056/48700]	Loss: 1.3492	LR: 0.100000
Training Epoch: 8 [13312/48700]	Loss: 1.2873	LR: 0.100000
Training Epoch: 8 [13568/48700]	Loss: 1.3459	LR: 0.100000
Training Epoch: 8 [13824/48700]	Loss: 1.4062	LR: 0.100000
Training Epoch: 8 [14080/48700]	Loss: 1.2103	LR: 0.100000
Training Epoch: 8 [14336/48700]	Loss: 1.3413	LR: 0.100000
Training Epoch: 8 [14592/48700]	Loss: 1.2589	LR: 0.100000
Training Epoch: 8 [14848/48700]	Loss: 1.2570	LR: 0.100000
Training Epoch: 8 [15104/48700]	Loss: 1.3476	LR: 0.100000
Training Epoch: 8 [15360/48700]	Loss: 1.3434	LR: 0.100000
Training Epoch: 8 [15616/48700]	Loss: 1.2680	LR: 0.100000
Training Epoch: 8 [15872/48700]	Loss: 1.3021	LR: 0.100000
Training Epoch: 8 [16128/48700]	Loss: 1.2870	LR: 0.100000
Training Epoch: 8 [16384/48700]	Loss: 1.2278	LR: 0.100000
Training Epoch: 8 [16640/48700]	Loss: 1.2961	LR: 0.100000
Training Epoch: 8 [16896/48700]	Loss: 1.2605	LR: 0.100000
Training Epoch: 8 [17152/48700]	Loss: 1.3617	LR: 0.100000
Training Epoch: 8 [17408/48700]	Loss: 1.3373	LR: 0.100000
Training Epoch: 8 [17664/48700]	Loss: 1.2101	LR: 0.100000
Training Epoch: 8 [17920/48700]	Loss: 1.3326	LR: 0.100000
Training Epoch: 8 [18176/48700]	Loss: 1.3857	LR: 0.100000
Training Epoch: 8 [18432/48700]	Loss: 1.1518	LR: 0.100000
Training Epoch: 8 [18688/48700]	Loss: 1.0657	LR: 0.100000
Training Epoch: 8 [18944/48700]	Loss: 1.3699	LR: 0.100000
Training Epoch: 8 [19200/48700]	Loss: 1.2566	LR: 0.100000
Training Epoch: 8 [19456/48700]	Loss: 1.3673	LR: 0.100000
Training Epoch: 8 [19712/48700]	Loss: 1.2804	LR: 0.100000
Training Epoch: 8 [19968/48700]	Loss: 1.2993	LR: 0.100000
Training Epoch: 8 [20224/48700]	Loss: 1.4215	LR: 0.100000
Training Epoch: 8 [20480/48700]	Loss: 1.2421	LR: 0.100000
Training Epoch: 8 [20736/48700]	Loss: 1.2923	LR: 0.100000
Training Epoch: 8 [20992/48700]	Loss: 1.2756	LR: 0.100000
Training Epoch: 8 [21248/48700]	Loss: 1.4172	LR: 0.100000
Training Epoch: 8 [21504/48700]	Loss: 1.4786	LR: 0.100000
Training Epoch: 8 [21760/48700]	Loss: 1.3617	LR: 0.100000
Training Epoch: 8 [22016/48700]	Loss: 1.2743	LR: 0.100000
Training Epoch: 8 [22272/48700]	Loss: 1.2336	LR: 0.100000
Training Epoch: 8 [22528/48700]	Loss: 1.1588	LR: 0.100000
Training Epoch: 8 [22784/48700]	Loss: 1.1631	LR: 0.100000
Training Epoch: 8 [23040/48700]	Loss: 1.2786	LR: 0.100000
Training Epoch: 8 [23296/48700]	Loss: 1.2749	LR: 0.100000
Training Epoch: 8 [23552/48700]	Loss: 1.3632	LR: 0.100000
Training Epoch: 8 [23808/48700]	Loss: 1.2827	LR: 0.100000
Training Epoch: 8 [24064/48700]	Loss: 1.2045	LR: 0.100000
Training Epoch: 8 [24320/48700]	Loss: 1.2831	LR: 0.100000
Training Epoch: 8 [24576/48700]	Loss: 1.3719	LR: 0.100000
Training Epoch: 8 [24832/48700]	Loss: 1.2195	LR: 0.100000
Training Epoch: 8 [25088/48700]	Loss: 1.3771	LR: 0.100000
Training Epoch: 8 [25344/48700]	Loss: 1.2988	LR: 0.100000
Training Epoch: 8 [25600/48700]	Loss: 1.2412	LR: 0.100000
Training Epoch: 8 [25856/48700]	Loss: 1.2232	LR: 0.100000
Training Epoch: 8 [26112/48700]	Loss: 1.3280	LR: 0.100000
Training Epoch: 8 [26368/48700]	Loss: 1.2914	LR: 0.100000
Training Epoch: 8 [26624/48700]	Loss: 1.3148	LR: 0.100000
Training Epoch: 8 [26880/48700]	Loss: 1.4064	LR: 0.100000
Training Epoch: 8 [27136/48700]	Loss: 1.3225	LR: 0.100000
Training Epoch: 8 [27392/48700]	Loss: 1.3320	LR: 0.100000
Training Epoch: 8 [27648/48700]	Loss: 1.2386	LR: 0.100000
Training Epoch: 8 [27904/48700]	Loss: 1.1876	LR: 0.100000
Training Epoch: 8 [28160/48700]	Loss: 1.1626	LR: 0.100000
Training Epoch: 8 [28416/48700]	Loss: 1.2967	LR: 0.100000
Training Epoch: 8 [28672/48700]	Loss: 1.4005	LR: 0.100000
Training Epoch: 8 [28928/48700]	Loss: 1.1495	LR: 0.100000
Training Epoch: 8 [29184/48700]	Loss: 1.3113	LR: 0.100000
Training Epoch: 8 [29440/48700]	Loss: 1.3589	LR: 0.100000
Training Epoch: 8 [29696/48700]	Loss: 1.1496	LR: 0.100000
Training Epoch: 8 [29952/48700]	Loss: 1.3698	LR: 0.100000
Training Epoch: 8 [30208/48700]	Loss: 1.2611	LR: 0.100000
Training Epoch: 8 [30464/48700]	Loss: 1.1816	LR: 0.100000
Training Epoch: 8 [30720/48700]	Loss: 1.2593	LR: 0.100000
Training Epoch: 8 [30976/48700]	Loss: 1.3042	LR: 0.100000
Training Epoch: 8 [31232/48700]	Loss: 1.2616	LR: 0.100000
Training Epoch: 8 [31488/48700]	Loss: 1.2254	LR: 0.100000
Training Epoch: 8 [31744/48700]	Loss: 1.2847	LR: 0.100000
Training Epoch: 8 [32000/48700]	Loss: 1.2348	LR: 0.100000
Training Epoch: 8 [32256/48700]	Loss: 1.4203	LR: 0.100000
Training Epoch: 8 [32512/48700]	Loss: 1.2764	LR: 0.100000
Training Epoch: 8 [32768/48700]	Loss: 1.2387	LR: 0.100000
Training Epoch: 8 [33024/48700]	Loss: 1.0556	LR: 0.100000
Training Epoch: 8 [33280/48700]	Loss: 1.1269	LR: 0.100000
Training Epoch: 8 [33536/48700]	Loss: 1.1860	LR: 0.100000
Training Epoch: 8 [33792/48700]	Loss: 1.0505	LR: 0.100000
Training Epoch: 8 [34048/48700]	Loss: 1.3055	LR: 0.100000
Training Epoch: 8 [34304/48700]	Loss: 1.1402	LR: 0.100000
Training Epoch: 8 [34560/48700]	Loss: 1.0845	LR: 0.100000
Training Epoch: 8 [34816/48700]	Loss: 1.2619	LR: 0.100000
Training Epoch: 8 [35072/48700]	Loss: 1.2491	LR: 0.100000
Training Epoch: 8 [35328/48700]	Loss: 1.1826	LR: 0.100000
Training Epoch: 8 [35584/48700]	Loss: 1.3775	LR: 0.100000
Training Epoch: 8 [35840/48700]	Loss: 1.3278	LR: 0.100000
Training Epoch: 8 [36096/48700]	Loss: 1.2011	LR: 0.100000
Training Epoch: 8 [36352/48700]	Loss: 1.4582	LR: 0.100000
Training Epoch: 8 [36608/48700]	Loss: 1.1314	LR: 0.100000
Training Epoch: 8 [36864/48700]	Loss: 1.1561	LR: 0.100000
Training Epoch: 8 [37120/48700]	Loss: 1.2158	LR: 0.100000
Training Epoch: 8 [37376/48700]	Loss: 1.1957	LR: 0.100000
Training Epoch: 8 [37632/48700]	Loss: 1.0778	LR: 0.100000
Training Epoch: 8 [37888/48700]	Loss: 1.2884	LR: 0.100000
Training Epoch: 8 [38144/48700]	Loss: 1.3393	LR: 0.100000
Training Epoch: 8 [38400/48700]	Loss: 1.2107	LR: 0.100000
Training Epoch: 8 [38656/48700]	Loss: 1.2832	LR: 0.100000
Training Epoch: 8 [38912/48700]	Loss: 1.2686	LR: 0.100000
Training Epoch: 8 [39168/48700]	Loss: 1.2771	LR: 0.100000
Training Epoch: 8 [39424/48700]	Loss: 1.4366	LR: 0.100000
Training Epoch: 8 [39680/48700]	Loss: 1.2828	LR: 0.100000
Training Epoch: 8 [39936/48700]	Loss: 1.1701	LR: 0.100000
Training Epoch: 8 [40192/48700]	Loss: 1.2786	LR: 0.100000
Training Epoch: 8 [40448/48700]	Loss: 1.3671	LR: 0.100000
Training Epoch: 8 [40704/48700]	Loss: 1.3748	LR: 0.100000
Training Epoch: 8 [40960/48700]	Loss: 1.4221	LR: 0.100000
Training Epoch: 8 [41216/48700]	Loss: 1.1525	LR: 0.100000
Training Epoch: 8 [41472/48700]	Loss: 1.2681	LR: 0.100000
Training Epoch: 8 [41728/48700]	Loss: 1.1981	LR: 0.100000
Training Epoch: 8 [41984/48700]	Loss: 1.3144	LR: 0.100000
Training Epoch: 8 [42240/48700]	Loss: 1.3173	LR: 0.100000
Training Epoch: 8 [42496/48700]	Loss: 1.3303	LR: 0.100000
Training Epoch: 8 [42752/48700]	Loss: 1.2071	LR: 0.100000
Training Epoch: 8 [43008/48700]	Loss: 1.3141	LR: 0.100000
Training Epoch: 8 [43264/48700]	Loss: 1.3806	LR: 0.100000
Training Epoch: 8 [43520/48700]	Loss: 1.2015	LR: 0.100000
Training Epoch: 8 [43776/48700]	Loss: 1.1965	LR: 0.100000
Training Epoch: 8 [44032/48700]	Loss: 1.1956	LR: 0.100000
Training Epoch: 8 [44288/48700]	Loss: 1.4190	LR: 0.100000
Training Epoch: 8 [44544/48700]	Loss: 1.1896	LR: 0.100000
Training Epoch: 8 [44800/48700]	Loss: 1.3279	LR: 0.100000
Training Epoch: 8 [45056/48700]	Loss: 1.2851	LR: 0.100000
Training Epoch: 8 [45312/48700]	Loss: 1.1743	LR: 0.100000
Training Epoch: 8 [45568/48700]	Loss: 1.2898	LR: 0.100000
Training Epoch: 8 [45824/48700]	Loss: 1.1742	LR: 0.100000
Training Epoch: 8 [46080/48700]	Loss: 1.2203	LR: 0.100000
Training Epoch: 8 [46336/48700]	Loss: 1.2390	LR: 0.100000
Training Epoch: 8 [46592/48700]	Loss: 1.1848	LR: 0.100000
Training Epoch: 8 [46848/48700]	Loss: 1.4173	LR: 0.100000
Training Epoch: 8 [47104/48700]	Loss: 1.1936	LR: 0.100000
Training Epoch: 8 [47360/48700]	Loss: 1.3211	LR: 0.100000
Training Epoch: 8 [47616/48700]	Loss: 1.4061	LR: 0.100000
Training Epoch: 8 [47872/48700]	Loss: 1.1112	LR: 0.100000
Training Epoch: 8 [48128/48700]	Loss: 1.2517	LR: 0.100000
Training Epoch: 8 [48384/48700]	Loss: 1.2387	LR: 0.100000
Training Epoch: 8 [48640/48700]	Loss: 1.3474	LR: 0.100000
Training Epoch: 8 [48700/48700]	Loss: 1.1760	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2814, Train Accuracy: 0.5913
Epoch 8 training time consumed: 26.62s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0061, Accuracy: 0.5210, Time consumed:0.87s
Training Epoch: 9 [256/48700]	Loss: 1.2139	LR: 0.100000
Training Epoch: 9 [512/48700]	Loss: 1.2274	LR: 0.100000
Training Epoch: 9 [768/48700]	Loss: 1.2664	LR: 0.100000
Training Epoch: 9 [1024/48700]	Loss: 1.2998	LR: 0.100000
Training Epoch: 9 [1280/48700]	Loss: 1.2387	LR: 0.100000
Training Epoch: 9 [1536/48700]	Loss: 1.2136	LR: 0.100000
Training Epoch: 9 [1792/48700]	Loss: 1.1915	LR: 0.100000
Training Epoch: 9 [2048/48700]	Loss: 1.1081	LR: 0.100000
Training Epoch: 9 [2304/48700]	Loss: 1.3852	LR: 0.100000
Training Epoch: 9 [2560/48700]	Loss: 1.2866	LR: 0.100000
Training Epoch: 9 [2816/48700]	Loss: 1.2815	LR: 0.100000
Training Epoch: 9 [3072/48700]	Loss: 1.1129	LR: 0.100000
Training Epoch: 9 [3328/48700]	Loss: 1.2046	LR: 0.100000
Training Epoch: 9 [3584/48700]	Loss: 1.2594	LR: 0.100000
Training Epoch: 9 [3840/48700]	Loss: 1.2884	LR: 0.100000
Training Epoch: 9 [4096/48700]	Loss: 1.4033	LR: 0.100000
Training Epoch: 9 [4352/48700]	Loss: 1.1658	LR: 0.100000
Training Epoch: 9 [4608/48700]	Loss: 1.2588	LR: 0.100000
Training Epoch: 9 [4864/48700]	Loss: 1.1799	LR: 0.100000
Training Epoch: 9 [5120/48700]	Loss: 1.2863	LR: 0.100000
Training Epoch: 9 [5376/48700]	Loss: 1.2319	LR: 0.100000
Training Epoch: 9 [5632/48700]	Loss: 1.2269	LR: 0.100000
Training Epoch: 9 [5888/48700]	Loss: 1.2675	LR: 0.100000
Training Epoch: 9 [6144/48700]	Loss: 1.2570	LR: 0.100000
Training Epoch: 9 [6400/48700]	Loss: 1.1939	LR: 0.100000
Training Epoch: 9 [6656/48700]	Loss: 1.2892	LR: 0.100000
Training Epoch: 9 [6912/48700]	Loss: 1.1521	LR: 0.100000
Training Epoch: 9 [7168/48700]	Loss: 1.1935	LR: 0.100000
Training Epoch: 9 [7424/48700]	Loss: 1.2925	LR: 0.100000
Training Epoch: 9 [7680/48700]	Loss: 1.2358	LR: 0.100000
Training Epoch: 9 [7936/48700]	Loss: 1.1778	LR: 0.100000
Training Epoch: 9 [8192/48700]	Loss: 1.2163	LR: 0.100000
Training Epoch: 9 [8448/48700]	Loss: 1.2566	LR: 0.100000
Training Epoch: 9 [8704/48700]	Loss: 1.1032	LR: 0.100000
Training Epoch: 9 [8960/48700]	Loss: 1.2090	LR: 0.100000
Training Epoch: 9 [9216/48700]	Loss: 1.2758	LR: 0.100000
Training Epoch: 9 [9472/48700]	Loss: 1.3079	LR: 0.100000
Training Epoch: 9 [9728/48700]	Loss: 1.2016	LR: 0.100000
Training Epoch: 9 [9984/48700]	Loss: 1.2147	LR: 0.100000
Training Epoch: 9 [10240/48700]	Loss: 1.1061	LR: 0.100000
Training Epoch: 9 [10496/48700]	Loss: 1.2815	LR: 0.100000
Training Epoch: 9 [10752/48700]	Loss: 1.1469	LR: 0.100000
Training Epoch: 9 [11008/48700]	Loss: 1.2139	LR: 0.100000
Training Epoch: 9 [11264/48700]	Loss: 1.1354	LR: 0.100000
Training Epoch: 9 [11520/48700]	Loss: 1.0930	LR: 0.100000
Training Epoch: 9 [11776/48700]	Loss: 1.2502	LR: 0.100000
Training Epoch: 9 [12032/48700]	Loss: 1.2668	LR: 0.100000
Training Epoch: 9 [12288/48700]	Loss: 1.2753	LR: 0.100000
Training Epoch: 9 [12544/48700]	Loss: 1.2414	LR: 0.100000
Training Epoch: 9 [12800/48700]	Loss: 1.2545	LR: 0.100000
Training Epoch: 9 [13056/48700]	Loss: 1.0468	LR: 0.100000
Training Epoch: 9 [13312/48700]	Loss: 1.2656	LR: 0.100000
Training Epoch: 9 [13568/48700]	Loss: 1.2864	LR: 0.100000
Training Epoch: 9 [13824/48700]	Loss: 1.1505	LR: 0.100000
Training Epoch: 9 [14080/48700]	Loss: 1.2167	LR: 0.100000
Training Epoch: 9 [14336/48700]	Loss: 1.2684	LR: 0.100000
Training Epoch: 9 [14592/48700]	Loss: 1.2269	LR: 0.100000
Training Epoch: 9 [14848/48700]	Loss: 1.2922	LR: 0.100000
Training Epoch: 9 [15104/48700]	Loss: 1.1351	LR: 0.100000
Training Epoch: 9 [15360/48700]	Loss: 1.2489	LR: 0.100000
Training Epoch: 9 [15616/48700]	Loss: 1.2196	LR: 0.100000
Training Epoch: 9 [15872/48700]	Loss: 1.1463	LR: 0.100000
Training Epoch: 9 [16128/48700]	Loss: 1.3643	LR: 0.100000
Training Epoch: 9 [16384/48700]	Loss: 1.3943	LR: 0.100000
Training Epoch: 9 [16640/48700]	Loss: 1.1740	LR: 0.100000
Training Epoch: 9 [16896/48700]	Loss: 1.2601	LR: 0.100000
Training Epoch: 9 [17152/48700]	Loss: 1.2408	LR: 0.100000
Training Epoch: 9 [17408/48700]	Loss: 1.2773	LR: 0.100000
Training Epoch: 9 [17664/48700]	Loss: 1.3028	LR: 0.100000
Training Epoch: 9 [17920/48700]	Loss: 1.0421	LR: 0.100000
Training Epoch: 9 [18176/48700]	Loss: 1.2862	LR: 0.100000
Training Epoch: 9 [18432/48700]	Loss: 1.0976	LR: 0.100000
Training Epoch: 9 [18688/48700]	Loss: 1.2717	LR: 0.100000
Training Epoch: 9 [18944/48700]	Loss: 1.1303	LR: 0.100000
Training Epoch: 9 [19200/48700]	Loss: 1.3184	LR: 0.100000
Training Epoch: 9 [19456/48700]	Loss: 1.3803	LR: 0.100000
Training Epoch: 9 [19712/48700]	Loss: 1.2984	LR: 0.100000
Training Epoch: 9 [19968/48700]	Loss: 1.2620	LR: 0.100000
Training Epoch: 9 [20224/48700]	Loss: 1.1606	LR: 0.100000
Training Epoch: 9 [20480/48700]	Loss: 1.3153	LR: 0.100000
Training Epoch: 9 [20736/48700]	Loss: 1.2112	LR: 0.100000
Training Epoch: 9 [20992/48700]	Loss: 1.2310	LR: 0.100000
Training Epoch: 9 [21248/48700]	Loss: 1.2127	LR: 0.100000
Training Epoch: 9 [21504/48700]	Loss: 1.2199	LR: 0.100000
Training Epoch: 9 [21760/48700]	Loss: 1.3899	LR: 0.100000
Training Epoch: 9 [22016/48700]	Loss: 1.2390	LR: 0.100000
Training Epoch: 9 [22272/48700]	Loss: 1.1078	LR: 0.100000
Training Epoch: 9 [22528/48700]	Loss: 1.2609	LR: 0.100000
Training Epoch: 9 [22784/48700]	Loss: 1.1169	LR: 0.100000
Training Epoch: 9 [23040/48700]	Loss: 1.3138	LR: 0.100000
Training Epoch: 9 [23296/48700]	Loss: 1.2201	LR: 0.100000
Training Epoch: 9 [23552/48700]	Loss: 1.2718	LR: 0.100000
Training Epoch: 9 [23808/48700]	Loss: 1.2144	LR: 0.100000
Training Epoch: 9 [24064/48700]	Loss: 1.1641	LR: 0.100000
Training Epoch: 9 [24320/48700]	Loss: 1.3355	LR: 0.100000
Training Epoch: 9 [24576/48700]	Loss: 1.1890	LR: 0.100000
Training Epoch: 9 [24832/48700]	Loss: 1.0635	LR: 0.100000
Training Epoch: 9 [25088/48700]	Loss: 1.3261	LR: 0.100000
Training Epoch: 9 [25344/48700]	Loss: 1.1716	LR: 0.100000
Training Epoch: 9 [25600/48700]	Loss: 1.0533	LR: 0.100000
Training Epoch: 9 [25856/48700]	Loss: 1.2200	LR: 0.100000
Training Epoch: 9 [26112/48700]	Loss: 1.1745	LR: 0.100000
Training Epoch: 9 [26368/48700]	Loss: 1.2671	LR: 0.100000
Training Epoch: 9 [26624/48700]	Loss: 1.3820	LR: 0.100000
Training Epoch: 9 [26880/48700]	Loss: 1.0940	LR: 0.100000
Training Epoch: 9 [27136/48700]	Loss: 1.1702	LR: 0.100000
Training Epoch: 9 [27392/48700]	Loss: 1.1308	LR: 0.100000
Training Epoch: 9 [27648/48700]	Loss: 1.2462	LR: 0.100000
Training Epoch: 9 [27904/48700]	Loss: 1.2952	LR: 0.100000
Training Epoch: 9 [28160/48700]	Loss: 1.3774	LR: 0.100000
Training Epoch: 9 [28416/48700]	Loss: 1.2536	LR: 0.100000
Training Epoch: 9 [28672/48700]	Loss: 1.1819	LR: 0.100000
Training Epoch: 9 [28928/48700]	Loss: 1.2063	LR: 0.100000
Training Epoch: 9 [29184/48700]	Loss: 1.2525	LR: 0.100000
Training Epoch: 9 [29440/48700]	Loss: 1.1491	LR: 0.100000
Training Epoch: 9 [29696/48700]	Loss: 1.1701	LR: 0.100000
Training Epoch: 9 [29952/48700]	Loss: 1.1332	LR: 0.100000
Training Epoch: 9 [30208/48700]	Loss: 1.2973	LR: 0.100000
Training Epoch: 9 [30464/48700]	Loss: 1.1409	LR: 0.100000
Training Epoch: 9 [30720/48700]	Loss: 1.2527	LR: 0.100000
Training Epoch: 9 [30976/48700]	Loss: 1.2695	LR: 0.100000
Training Epoch: 9 [31232/48700]	Loss: 1.2633	LR: 0.100000
Training Epoch: 9 [31488/48700]	Loss: 1.0956	LR: 0.100000
Training Epoch: 9 [31744/48700]	Loss: 1.1991	LR: 0.100000
Training Epoch: 9 [32000/48700]	Loss: 1.2653	LR: 0.100000
Training Epoch: 9 [32256/48700]	Loss: 1.1857	LR: 0.100000
Training Epoch: 9 [32512/48700]	Loss: 1.1809	LR: 0.100000
Training Epoch: 9 [32768/48700]	Loss: 1.2148	LR: 0.100000
Training Epoch: 9 [33024/48700]	Loss: 1.0985	LR: 0.100000
Training Epoch: 9 [33280/48700]	Loss: 1.1818	LR: 0.100000
Training Epoch: 9 [33536/48700]	Loss: 1.1233	LR: 0.100000
Training Epoch: 9 [33792/48700]	Loss: 1.2536	LR: 0.100000
Training Epoch: 9 [34048/48700]	Loss: 1.1101	LR: 0.100000
Training Epoch: 9 [34304/48700]	Loss: 1.3025	LR: 0.100000
Training Epoch: 9 [34560/48700]	Loss: 1.2307	LR: 0.100000
Training Epoch: 9 [34816/48700]	Loss: 1.2160	LR: 0.100000
Training Epoch: 9 [35072/48700]	Loss: 1.1793	LR: 0.100000
Training Epoch: 9 [35328/48700]	Loss: 0.9943	LR: 0.100000
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Training Epoch: 9 [48700/48700]	Loss: 1.1696	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2076, Train Accuracy: 0.6140
Epoch 9 training time consumed: 26.76s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0061, Accuracy: 0.5389, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-9-best.pth
Training Epoch: 10 [256/48700]	Loss: 1.2123	LR: 0.100000
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Training Epoch: 10 [48700/48700]	Loss: 1.0036	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1563, Train Accuracy: 0.6284
Epoch 10 training time consumed: 26.99s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0063, Accuracy: 0.5294, Time consumed:0.91s
Training Epoch: 11 [256/48700]	Loss: 1.2211	LR: 0.100000
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Training Epoch: 11 [48700/48700]	Loss: 1.0277	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1110, Train Accuracy: 0.6436
Epoch 11 training time consumed: 26.79s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0051, Accuracy: 0.6066, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-11-best.pth
Training Epoch: 12 [256/48700]	Loss: 1.0363	LR: 0.100000
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Training Epoch: 12 [39936/48700]	Loss: 1.0950	LR: 0.100000
Training Epoch: 12 [40192/48700]	Loss: 1.0025	LR: 0.100000
Training Epoch: 12 [40448/48700]	Loss: 1.0907	LR: 0.100000
Training Epoch: 12 [40704/48700]	Loss: 1.0115	LR: 0.100000
Training Epoch: 12 [40960/48700]	Loss: 1.1690	LR: 0.100000
Training Epoch: 12 [41216/48700]	Loss: 1.0957	LR: 0.100000
Training Epoch: 12 [41472/48700]	Loss: 1.1171	LR: 0.100000
Training Epoch: 12 [41728/48700]	Loss: 0.9669	LR: 0.100000
Training Epoch: 12 [41984/48700]	Loss: 0.9765	LR: 0.100000
Training Epoch: 12 [42240/48700]	Loss: 1.1572	LR: 0.100000
Training Epoch: 12 [42496/48700]	Loss: 1.2004	LR: 0.100000
Training Epoch: 12 [42752/48700]	Loss: 1.0686	LR: 0.100000
Training Epoch: 12 [43008/48700]	Loss: 1.0808	LR: 0.100000
Training Epoch: 12 [43264/48700]	Loss: 1.0721	LR: 0.100000
Training Epoch: 12 [43520/48700]	Loss: 1.0057	LR: 0.100000
Training Epoch: 12 [43776/48700]	Loss: 1.0938	LR: 0.100000
Training Epoch: 12 [44032/48700]	Loss: 1.0422	LR: 0.100000
Training Epoch: 12 [44288/48700]	Loss: 1.2159	LR: 0.100000
Training Epoch: 12 [44544/48700]	Loss: 1.1428	LR: 0.100000
Training Epoch: 12 [44800/48700]	Loss: 0.9348	LR: 0.100000
Training Epoch: 12 [45056/48700]	Loss: 1.1293	LR: 0.100000
Training Epoch: 12 [45312/48700]	Loss: 1.0393	LR: 0.100000
Training Epoch: 12 [45568/48700]	Loss: 1.0052	LR: 0.100000
Training Epoch: 12 [45824/48700]	Loss: 1.0655	LR: 0.100000
Training Epoch: 12 [46080/48700]	Loss: 1.1681	LR: 0.100000
Training Epoch: 12 [46336/48700]	Loss: 1.1221	LR: 0.100000
Training Epoch: 12 [46592/48700]	Loss: 0.9646	LR: 0.100000
Training Epoch: 12 [46848/48700]	Loss: 1.1274	LR: 0.100000
Training Epoch: 12 [47104/48700]	Loss: 0.9893	LR: 0.100000
Training Epoch: 12 [47360/48700]	Loss: 1.0313	LR: 0.100000
Training Epoch: 12 [47616/48700]	Loss: 1.0375	LR: 0.100000
Training Epoch: 12 [47872/48700]	Loss: 1.0522	LR: 0.100000
Training Epoch: 12 [48128/48700]	Loss: 1.1257	LR: 0.100000
Training Epoch: 12 [48384/48700]	Loss: 1.1774	LR: 0.100000
Training Epoch: 12 [48640/48700]	Loss: 1.0992	LR: 0.100000
Training Epoch: 12 [48700/48700]	Loss: 1.1929	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0776, Train Accuracy: 0.6516
Epoch 12 training time consumed: 26.90s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0053, Accuracy: 0.6028, Time consumed:0.93s
Training Epoch: 13 [256/48700]	Loss: 0.9750	LR: 0.100000
Training Epoch: 13 [512/48700]	Loss: 1.0612	LR: 0.100000
Training Epoch: 13 [768/48700]	Loss: 0.9939	LR: 0.100000
Training Epoch: 13 [1024/48700]	Loss: 1.1626	LR: 0.100000
Training Epoch: 13 [1280/48700]	Loss: 0.9071	LR: 0.100000
Training Epoch: 13 [1536/48700]	Loss: 1.0186	LR: 0.100000
Training Epoch: 13 [1792/48700]	Loss: 1.0987	LR: 0.100000
Training Epoch: 13 [2048/48700]	Loss: 0.9842	LR: 0.100000
Training Epoch: 13 [2304/48700]	Loss: 1.1151	LR: 0.100000
Training Epoch: 13 [2560/48700]	Loss: 1.0800	LR: 0.100000
Training Epoch: 13 [2816/48700]	Loss: 0.9121	LR: 0.100000
Training Epoch: 13 [3072/48700]	Loss: 0.9799	LR: 0.100000
Training Epoch: 13 [3328/48700]	Loss: 1.0224	LR: 0.100000
Training Epoch: 13 [3584/48700]	Loss: 1.0648	LR: 0.100000
Training Epoch: 13 [3840/48700]	Loss: 0.9891	LR: 0.100000
Training Epoch: 13 [4096/48700]	Loss: 1.0463	LR: 0.100000
Training Epoch: 13 [4352/48700]	Loss: 1.0139	LR: 0.100000
Training Epoch: 13 [4608/48700]	Loss: 1.0333	LR: 0.100000
Training Epoch: 13 [4864/48700]	Loss: 0.9426	LR: 0.100000
Training Epoch: 13 [5120/48700]	Loss: 0.9979	LR: 0.100000
Training Epoch: 13 [5376/48700]	Loss: 1.0261	LR: 0.100000
Training Epoch: 13 [5632/48700]	Loss: 0.9992	LR: 0.100000
Training Epoch: 13 [5888/48700]	Loss: 1.0798	LR: 0.100000
Training Epoch: 13 [6144/48700]	Loss: 0.9915	LR: 0.100000
Training Epoch: 13 [6400/48700]	Loss: 1.1056	LR: 0.100000
Training Epoch: 13 [6656/48700]	Loss: 0.9095	LR: 0.100000
Training Epoch: 13 [6912/48700]	Loss: 1.0615	LR: 0.100000
Training Epoch: 13 [7168/48700]	Loss: 1.0219	LR: 0.100000
Training Epoch: 13 [7424/48700]	Loss: 0.8090	LR: 0.100000
Training Epoch: 13 [7680/48700]	Loss: 1.0822	LR: 0.100000
Training Epoch: 13 [7936/48700]	Loss: 1.1239	LR: 0.100000
Training Epoch: 13 [8192/48700]	Loss: 1.0225	LR: 0.100000
Training Epoch: 13 [8448/48700]	Loss: 0.9717	LR: 0.100000
Training Epoch: 13 [8704/48700]	Loss: 1.1047	LR: 0.100000
Training Epoch: 13 [8960/48700]	Loss: 0.9130	LR: 0.100000
Training Epoch: 13 [9216/48700]	Loss: 0.9266	LR: 0.100000
Training Epoch: 13 [9472/48700]	Loss: 1.0542	LR: 0.100000
Training Epoch: 13 [9728/48700]	Loss: 1.0607	LR: 0.100000
Training Epoch: 13 [9984/48700]	Loss: 1.0855	LR: 0.100000
Training Epoch: 13 [10240/48700]	Loss: 1.1325	LR: 0.100000
Training Epoch: 13 [10496/48700]	Loss: 1.0030	LR: 0.100000
Training Epoch: 13 [10752/48700]	Loss: 0.9956	LR: 0.100000
Training Epoch: 13 [11008/48700]	Loss: 1.0112	LR: 0.100000
Training Epoch: 13 [11264/48700]	Loss: 0.9703	LR: 0.100000
Training Epoch: 13 [11520/48700]	Loss: 1.0347	LR: 0.100000
Training Epoch: 13 [11776/48700]	Loss: 0.9723	LR: 0.100000
Training Epoch: 13 [12032/48700]	Loss: 0.9566	LR: 0.100000
Training Epoch: 13 [12288/48700]	Loss: 1.0982	LR: 0.100000
Training Epoch: 13 [12544/48700]	Loss: 0.9170	LR: 0.100000
Training Epoch: 13 [12800/48700]	Loss: 0.8928	LR: 0.100000
Training Epoch: 13 [13056/48700]	Loss: 0.9468	LR: 0.100000
Training Epoch: 13 [13312/48700]	Loss: 1.0730	LR: 0.100000
Training Epoch: 13 [13568/48700]	Loss: 0.9863	LR: 0.100000
Training Epoch: 13 [13824/48700]	Loss: 1.0583	LR: 0.100000
Training Epoch: 13 [14080/48700]	Loss: 1.0232	LR: 0.100000
Training Epoch: 13 [14336/48700]	Loss: 1.0741	LR: 0.100000
Training Epoch: 13 [14592/48700]	Loss: 0.9394	LR: 0.100000
Training Epoch: 13 [14848/48700]	Loss: 0.9607	LR: 0.100000
Training Epoch: 13 [15104/48700]	Loss: 1.0432	LR: 0.100000
Training Epoch: 13 [15360/48700]	Loss: 1.0757	LR: 0.100000
Training Epoch: 13 [15616/48700]	Loss: 1.1274	LR: 0.100000
Training Epoch: 13 [15872/48700]	Loss: 1.0032	LR: 0.100000
Training Epoch: 13 [16128/48700]	Loss: 1.0663	LR: 0.100000
Training Epoch: 13 [16384/48700]	Loss: 1.0012	LR: 0.100000
Training Epoch: 13 [16640/48700]	Loss: 1.0198	LR: 0.100000
Training Epoch: 13 [16896/48700]	Loss: 0.9643	LR: 0.100000
Training Epoch: 13 [17152/48700]	Loss: 0.9711	LR: 0.100000
Training Epoch: 13 [17408/48700]	Loss: 1.0256	LR: 0.100000
Training Epoch: 13 [17664/48700]	Loss: 0.9985	LR: 0.100000
Training Epoch: 13 [17920/48700]	Loss: 0.9436	LR: 0.100000
Training Epoch: 13 [18176/48700]	Loss: 1.0921	LR: 0.100000
Training Epoch: 13 [18432/48700]	Loss: 1.0114	LR: 0.100000
Training Epoch: 13 [18688/48700]	Loss: 0.9792	LR: 0.100000
Training Epoch: 13 [18944/48700]	Loss: 0.9706	LR: 0.100000
Training Epoch: 13 [19200/48700]	Loss: 1.0174	LR: 0.100000
Training Epoch: 13 [19456/48700]	Loss: 0.9326	LR: 0.100000
Training Epoch: 13 [19712/48700]	Loss: 1.0077	LR: 0.100000
Training Epoch: 13 [19968/48700]	Loss: 0.9022	LR: 0.100000
Training Epoch: 13 [20224/48700]	Loss: 1.1406	LR: 0.100000
Training Epoch: 13 [20480/48700]	Loss: 1.0439	LR: 0.100000
Training Epoch: 13 [20736/48700]	Loss: 1.0709	LR: 0.100000
Training Epoch: 13 [20992/48700]	Loss: 0.9554	LR: 0.100000
Training Epoch: 13 [21248/48700]	Loss: 1.0814	LR: 0.100000
Training Epoch: 13 [21504/48700]	Loss: 1.1746	LR: 0.100000
Training Epoch: 13 [21760/48700]	Loss: 1.0400	LR: 0.100000
Training Epoch: 13 [22016/48700]	Loss: 0.9361	LR: 0.100000
Training Epoch: 13 [22272/48700]	Loss: 0.9932	LR: 0.100000
Training Epoch: 13 [22528/48700]	Loss: 1.0526	LR: 0.100000
Training Epoch: 13 [22784/48700]	Loss: 1.2003	LR: 0.100000
Training Epoch: 13 [23040/48700]	Loss: 1.1460	LR: 0.100000
Training Epoch: 13 [23296/48700]	Loss: 1.0136	LR: 0.100000
Training Epoch: 13 [23552/48700]	Loss: 1.0727	LR: 0.100000
Training Epoch: 13 [23808/48700]	Loss: 1.1306	LR: 0.100000
Training Epoch: 13 [24064/48700]	Loss: 0.9611	LR: 0.100000
Training Epoch: 13 [24320/48700]	Loss: 1.0096	LR: 0.100000
Training Epoch: 13 [24576/48700]	Loss: 0.9514	LR: 0.100000
Training Epoch: 13 [24832/48700]	Loss: 1.0300	LR: 0.100000
Training Epoch: 13 [25088/48700]	Loss: 0.9344	LR: 0.100000
Training Epoch: 13 [25344/48700]	Loss: 0.9841	LR: 0.100000
Training Epoch: 13 [25600/48700]	Loss: 1.0624	LR: 0.100000
Training Epoch: 13 [25856/48700]	Loss: 1.0487	LR: 0.100000
Training Epoch: 13 [26112/48700]	Loss: 1.0702	LR: 0.100000
Training Epoch: 13 [26368/48700]	Loss: 1.1606	LR: 0.100000
Training Epoch: 13 [26624/48700]	Loss: 0.9897	LR: 0.100000
Training Epoch: 13 [26880/48700]	Loss: 1.0383	LR: 0.100000
Training Epoch: 13 [27136/48700]	Loss: 1.0169	LR: 0.100000
Training Epoch: 13 [27392/48700]	Loss: 1.0490	LR: 0.100000
Training Epoch: 13 [27648/48700]	Loss: 1.1716	LR: 0.100000
Training Epoch: 13 [27904/48700]	Loss: 1.0420	LR: 0.100000
Training Epoch: 13 [28160/48700]	Loss: 1.0462	LR: 0.100000
Training Epoch: 13 [28416/48700]	Loss: 1.0985	LR: 0.100000
Training Epoch: 13 [28672/48700]	Loss: 1.1039	LR: 0.100000
Training Epoch: 13 [28928/48700]	Loss: 0.9877	LR: 0.100000
Training Epoch: 13 [29184/48700]	Loss: 0.9459	LR: 0.100000
Training Epoch: 13 [29440/48700]	Loss: 1.0439	LR: 0.100000
Training Epoch: 13 [29696/48700]	Loss: 1.0254	LR: 0.100000
Training Epoch: 13 [29952/48700]	Loss: 0.9753	LR: 0.100000
Training Epoch: 13 [30208/48700]	Loss: 1.0003	LR: 0.100000
Training Epoch: 13 [30464/48700]	Loss: 1.1466	LR: 0.100000
Training Epoch: 13 [30720/48700]	Loss: 1.0188	LR: 0.100000
Training Epoch: 13 [30976/48700]	Loss: 1.1243	LR: 0.100000
Training Epoch: 13 [31232/48700]	Loss: 1.1093	LR: 0.100000
Training Epoch: 13 [31488/48700]	Loss: 1.1406	LR: 0.100000
Training Epoch: 13 [31744/48700]	Loss: 0.8392	LR: 0.100000
Training Epoch: 13 [32000/48700]	Loss: 1.0483	LR: 0.100000
Training Epoch: 13 [32256/48700]	Loss: 1.1100	LR: 0.100000
Training Epoch: 13 [32512/48700]	Loss: 1.0734	LR: 0.100000
Training Epoch: 13 [32768/48700]	Loss: 0.9686	LR: 0.100000
Training Epoch: 13 [33024/48700]	Loss: 0.9368	LR: 0.100000
Training Epoch: 13 [33280/48700]	Loss: 1.0590	LR: 0.100000
Training Epoch: 13 [33536/48700]	Loss: 1.0756	LR: 0.100000
Training Epoch: 13 [33792/48700]	Loss: 1.0785	LR: 0.100000
Training Epoch: 13 [34048/48700]	Loss: 1.1019	LR: 0.100000
Training Epoch: 13 [34304/48700]	Loss: 1.1095	LR: 0.100000
Training Epoch: 13 [34560/48700]	Loss: 1.1112	LR: 0.100000
Training Epoch: 13 [34816/48700]	Loss: 0.9623	LR: 0.100000
Training Epoch: 13 [35072/48700]	Loss: 1.0283	LR: 0.100000
Training Epoch: 13 [35328/48700]	Loss: 0.9866	LR: 0.100000
Training Epoch: 13 [35584/48700]	Loss: 1.0777	LR: 0.100000
Training Epoch: 13 [35840/48700]	Loss: 0.9987	LR: 0.100000
Training Epoch: 13 [36096/48700]	Loss: 1.2480	LR: 0.100000
Training Epoch: 13 [36352/48700]	Loss: 1.0367	LR: 0.100000
Training Epoch: 13 [36608/48700]	Loss: 1.1571	LR: 0.100000
Training Epoch: 13 [36864/48700]	Loss: 1.1592	LR: 0.100000
Training Epoch: 13 [37120/48700]	Loss: 0.9547	LR: 0.100000
Training Epoch: 13 [37376/48700]	Loss: 1.0011	LR: 0.100000
Training Epoch: 13 [37632/48700]	Loss: 0.9877	LR: 0.100000
Training Epoch: 13 [37888/48700]	Loss: 1.0439	LR: 0.100000
Training Epoch: 13 [38144/48700]	Loss: 1.0296	LR: 0.100000
Training Epoch: 13 [38400/48700]	Loss: 0.9746	LR: 0.100000
Training Epoch: 13 [38656/48700]	Loss: 1.1360	LR: 0.100000
Training Epoch: 13 [38912/48700]	Loss: 1.1488	LR: 0.100000
Training Epoch: 13 [39168/48700]	Loss: 1.1371	LR: 0.100000
Training Epoch: 13 [39424/48700]	Loss: 0.9430	LR: 0.100000
Training Epoch: 13 [39680/48700]	Loss: 1.0713	LR: 0.100000
Training Epoch: 13 [39936/48700]	Loss: 0.9797	LR: 0.100000
Training Epoch: 13 [40192/48700]	Loss: 1.0858	LR: 0.100000
Training Epoch: 13 [40448/48700]	Loss: 1.1065	LR: 0.100000
Training Epoch: 13 [40704/48700]	Loss: 1.1036	LR: 0.100000
Training Epoch: 13 [40960/48700]	Loss: 1.0534	LR: 0.100000
Training Epoch: 13 [41216/48700]	Loss: 1.0114	LR: 0.100000
Training Epoch: 13 [41472/48700]	Loss: 1.0472	LR: 0.100000
Training Epoch: 13 [41728/48700]	Loss: 1.0019	LR: 0.100000
Training Epoch: 13 [41984/48700]	Loss: 1.2293	LR: 0.100000
Training Epoch: 13 [42240/48700]	Loss: 1.0185	LR: 0.100000
Training Epoch: 13 [42496/48700]	Loss: 1.0604	LR: 0.100000
Training Epoch: 13 [42752/48700]	Loss: 0.9540	LR: 0.100000
Training Epoch: 13 [43008/48700]	Loss: 1.0715	LR: 0.100000
Training Epoch: 13 [43264/48700]	Loss: 1.1493	LR: 0.100000
Training Epoch: 13 [43520/48700]	Loss: 0.9714	LR: 0.100000
Training Epoch: 13 [43776/48700]	Loss: 0.9861	LR: 0.100000
Training Epoch: 13 [44032/48700]	Loss: 1.0811	LR: 0.100000
Training Epoch: 13 [44288/48700]	Loss: 1.1499	LR: 0.100000
Training Epoch: 13 [44544/48700]	Loss: 0.9334	LR: 0.100000
Training Epoch: 13 [44800/48700]	Loss: 1.0029	LR: 0.100000
Training Epoch: 13 [45056/48700]	Loss: 1.1590	LR: 0.100000
Training Epoch: 13 [45312/48700]	Loss: 1.0182	LR: 0.100000
Training Epoch: 13 [45568/48700]	Loss: 0.9787	LR: 0.100000
Training Epoch: 13 [45824/48700]	Loss: 1.0438	LR: 0.100000
Training Epoch: 13 [46080/48700]	Loss: 1.1825	LR: 0.100000
Training Epoch: 13 [46336/48700]	Loss: 1.0008	LR: 0.100000
Training Epoch: 13 [46592/48700]	Loss: 1.1553	LR: 0.100000
Training Epoch: 13 [46848/48700]	Loss: 1.1394	LR: 0.100000
Training Epoch: 13 [47104/48700]	Loss: 1.0654	LR: 0.100000
Training Epoch: 13 [47360/48700]	Loss: 1.1352	LR: 0.100000
Training Epoch: 13 [47616/48700]	Loss: 0.9498	LR: 0.100000
Training Epoch: 13 [47872/48700]	Loss: 1.0399	LR: 0.100000
Training Epoch: 13 [48128/48700]	Loss: 0.9789	LR: 0.100000
Training Epoch: 13 [48384/48700]	Loss: 1.1267	LR: 0.100000
Training Epoch: 13 [48640/48700]	Loss: 1.0823	LR: 0.100000
Training Epoch: 13 [48700/48700]	Loss: 1.3318	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0369, Train Accuracy: 0.6686
Epoch 13 training time consumed: 26.95s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0064, Accuracy: 0.5573, Time consumed:0.96s
Training Epoch: 14 [256/48700]	Loss: 0.8878	LR: 0.100000
Training Epoch: 14 [512/48700]	Loss: 1.0314	LR: 0.100000
Training Epoch: 14 [768/48700]	Loss: 1.2470	LR: 0.100000
Training Epoch: 14 [1024/48700]	Loss: 1.0855	LR: 0.100000
Training Epoch: 14 [1280/48700]	Loss: 0.9618	LR: 0.100000
Training Epoch: 14 [1536/48700]	Loss: 0.9973	LR: 0.100000
Training Epoch: 14 [1792/48700]	Loss: 1.0404	LR: 0.100000
Training Epoch: 14 [2048/48700]	Loss: 1.0757	LR: 0.100000
Training Epoch: 14 [2304/48700]	Loss: 0.9651	LR: 0.100000
Training Epoch: 14 [2560/48700]	Loss: 1.0465	LR: 0.100000
Training Epoch: 14 [2816/48700]	Loss: 1.0269	LR: 0.100000
Training Epoch: 14 [3072/48700]	Loss: 1.1173	LR: 0.100000
Training Epoch: 14 [3328/48700]	Loss: 1.0337	LR: 0.100000
Training Epoch: 14 [3584/48700]	Loss: 0.8944	LR: 0.100000
Training Epoch: 14 [3840/48700]	Loss: 1.0535	LR: 0.100000
Training Epoch: 14 [4096/48700]	Loss: 0.9595	LR: 0.100000
Training Epoch: 14 [4352/48700]	Loss: 0.9538	LR: 0.100000
Training Epoch: 14 [4608/48700]	Loss: 1.0547	LR: 0.100000
Training Epoch: 14 [4864/48700]	Loss: 0.8486	LR: 0.100000
Training Epoch: 14 [5120/48700]	Loss: 0.9500	LR: 0.100000
Training Epoch: 14 [5376/48700]	Loss: 1.0596	LR: 0.100000
Training Epoch: 14 [5632/48700]	Loss: 1.0005	LR: 0.100000
Training Epoch: 14 [5888/48700]	Loss: 0.9743	LR: 0.100000
Training Epoch: 14 [6144/48700]	Loss: 1.1262	LR: 0.100000
Training Epoch: 14 [6400/48700]	Loss: 1.2324	LR: 0.100000
Training Epoch: 14 [6656/48700]	Loss: 1.0705	LR: 0.100000
Training Epoch: 14 [6912/48700]	Loss: 0.9966	LR: 0.100000
Training Epoch: 14 [7168/48700]	Loss: 0.9370	LR: 0.100000
Training Epoch: 14 [7424/48700]	Loss: 1.0286	LR: 0.100000
Training Epoch: 14 [7680/48700]	Loss: 1.0776	LR: 0.100000
Training Epoch: 14 [7936/48700]	Loss: 0.9360	LR: 0.100000
Training Epoch: 14 [8192/48700]	Loss: 0.8836	LR: 0.100000
Training Epoch: 14 [8448/48700]	Loss: 1.0288	LR: 0.100000
Training Epoch: 14 [8704/48700]	Loss: 0.9600	LR: 0.100000
Training Epoch: 14 [8960/48700]	Loss: 0.9252	LR: 0.100000
Training Epoch: 14 [9216/48700]	Loss: 1.0336	LR: 0.100000
Training Epoch: 14 [9472/48700]	Loss: 0.9644	LR: 0.100000
Training Epoch: 14 [9728/48700]	Loss: 1.0574	LR: 0.100000
Training Epoch: 14 [9984/48700]	Loss: 0.8949	LR: 0.100000
Training Epoch: 14 [10240/48700]	Loss: 0.9905	LR: 0.100000
Training Epoch: 14 [10496/48700]	Loss: 1.0131	LR: 0.100000
Training Epoch: 14 [10752/48700]	Loss: 1.0084	LR: 0.100000
Training Epoch: 14 [11008/48700]	Loss: 0.9780	LR: 0.100000
Training Epoch: 14 [11264/48700]	Loss: 0.9481	LR: 0.100000
Training Epoch: 14 [11520/48700]	Loss: 0.9272	LR: 0.100000
Training Epoch: 14 [11776/48700]	Loss: 0.9734	LR: 0.100000
Training Epoch: 14 [12032/48700]	Loss: 1.0658	LR: 0.100000
Training Epoch: 14 [12288/48700]	Loss: 1.1317	LR: 0.100000
Training Epoch: 14 [12544/48700]	Loss: 1.0039	LR: 0.100000
Training Epoch: 14 [12800/48700]	Loss: 1.0190	LR: 0.100000
Training Epoch: 14 [13056/48700]	Loss: 1.1355	LR: 0.100000
Training Epoch: 14 [13312/48700]	Loss: 1.0526	LR: 0.100000
Training Epoch: 14 [13568/48700]	Loss: 0.9808	LR: 0.100000
Training Epoch: 14 [13824/48700]	Loss: 0.9549	LR: 0.100000
Training Epoch: 14 [14080/48700]	Loss: 0.9807	LR: 0.100000
Training Epoch: 14 [14336/48700]	Loss: 0.9743	LR: 0.100000
Training Epoch: 14 [14592/48700]	Loss: 1.0833	LR: 0.100000
Training Epoch: 14 [14848/48700]	Loss: 1.0545	LR: 0.100000
Training Epoch: 14 [15104/48700]	Loss: 1.1719	LR: 0.100000
Training Epoch: 14 [15360/48700]	Loss: 1.1827	LR: 0.100000
Training Epoch: 14 [15616/48700]	Loss: 0.8997	LR: 0.100000
Training Epoch: 14 [15872/48700]	Loss: 1.0506	LR: 0.100000
Training Epoch: 14 [16128/48700]	Loss: 0.9148	LR: 0.100000
Training Epoch: 14 [16384/48700]	Loss: 0.9077	LR: 0.100000
Training Epoch: 14 [16640/48700]	Loss: 1.0687	LR: 0.100000
Training Epoch: 14 [16896/48700]	Loss: 1.0764	LR: 0.100000
Training Epoch: 14 [17152/48700]	Loss: 1.1125	LR: 0.100000
Training Epoch: 14 [17408/48700]	Loss: 0.9690	LR: 0.100000
Training Epoch: 14 [17664/48700]	Loss: 0.9757	LR: 0.100000
Training Epoch: 14 [17920/48700]	Loss: 1.1173	LR: 0.100000
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Training Epoch: 14 [48700/48700]	Loss: 0.7608	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0131, Train Accuracy: 0.6742
Epoch 14 training time consumed: 27.04s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0048, Accuracy: 0.6259, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-14-best.pth
Training Epoch: 15 [256/48700]	Loss: 1.0712	LR: 0.020000
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Training Epoch: 15 [43264/48700]	Loss: 0.7625	LR: 0.020000
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Training Epoch: 15 [47104/48700]	Loss: 0.6998	LR: 0.020000
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Training Epoch: 15 [47872/48700]	Loss: 0.6700	LR: 0.020000
Training Epoch: 15 [48128/48700]	Loss: 0.7238	LR: 0.020000
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Training Epoch: 15 [48640/48700]	Loss: 0.7092	LR: 0.020000
Training Epoch: 15 [48700/48700]	Loss: 0.8314	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7776, Train Accuracy: 0.7514
Epoch 15 training time consumed: 26.76s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0033, Accuracy: 0.7395, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-15-best.pth
Training Epoch: 16 [256/48700]	Loss: 0.7715	LR: 0.020000
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Training Epoch: 16 [47872/48700]	Loss: 0.5833	LR: 0.020000
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Training Epoch: 16 [48640/48700]	Loss: 0.6427	LR: 0.020000
Training Epoch: 16 [48700/48700]	Loss: 0.9578	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7056, Train Accuracy: 0.7760
Epoch 16 training time consumed: 26.86s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7404, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-16-best.pth
Training Epoch: 17 [256/48700]	Loss: 0.6192	LR: 0.020000
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Training Epoch: 17 [17408/48700]	Loss: 0.7614	LR: 0.020000
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Training Epoch: 17 [17920/48700]	Loss: 0.6326	LR: 0.020000
Training Epoch: 17 [18176/48700]	Loss: 0.6707	LR: 0.020000
Training Epoch: 17 [18432/48700]	Loss: 0.5274	LR: 0.020000
Training Epoch: 17 [18688/48700]	Loss: 0.6370	LR: 0.020000
Training Epoch: 17 [18944/48700]	Loss: 0.7301	LR: 0.020000
Training Epoch: 17 [19200/48700]	Loss: 0.6781	LR: 0.020000
Training Epoch: 17 [19456/48700]	Loss: 0.6457	LR: 0.020000
Training Epoch: 17 [19712/48700]	Loss: 0.5004	LR: 0.020000
Training Epoch: 17 [19968/48700]	Loss: 0.7351	LR: 0.020000
Training Epoch: 17 [20224/48700]	Loss: 0.7467	LR: 0.020000
Training Epoch: 17 [20480/48700]	Loss: 0.6893	LR: 0.020000
Training Epoch: 17 [20736/48700]	Loss: 0.6116	LR: 0.020000
Training Epoch: 17 [20992/48700]	Loss: 0.5375	LR: 0.020000
Training Epoch: 17 [21248/48700]	Loss: 0.6903	LR: 0.020000
Training Epoch: 17 [21504/48700]	Loss: 0.7494	LR: 0.020000
Training Epoch: 17 [21760/48700]	Loss: 0.6578	LR: 0.020000
Training Epoch: 17 [22016/48700]	Loss: 0.6833	LR: 0.020000
Training Epoch: 17 [22272/48700]	Loss: 0.8380	LR: 0.020000
Training Epoch: 17 [22528/48700]	Loss: 0.7881	LR: 0.020000
Training Epoch: 17 [22784/48700]	Loss: 0.6031	LR: 0.020000
Training Epoch: 17 [23040/48700]	Loss: 0.7363	LR: 0.020000
Training Epoch: 17 [23296/48700]	Loss: 0.5569	LR: 0.020000
Training Epoch: 17 [23552/48700]	Loss: 0.6531	LR: 0.020000
Training Epoch: 17 [23808/48700]	Loss: 0.6075	LR: 0.020000
Training Epoch: 17 [24064/48700]	Loss: 0.6537	LR: 0.020000
Training Epoch: 17 [24320/48700]	Loss: 0.6063	LR: 0.020000
Training Epoch: 17 [24576/48700]	Loss: 0.6983	LR: 0.020000
Training Epoch: 17 [24832/48700]	Loss: 0.6386	LR: 0.020000
Training Epoch: 17 [25088/48700]	Loss: 0.6508	LR: 0.020000
Training Epoch: 17 [25344/48700]	Loss: 0.7240	LR: 0.020000
Training Epoch: 17 [25600/48700]	Loss: 0.7402	LR: 0.020000
Training Epoch: 17 [25856/48700]	Loss: 0.6699	LR: 0.020000
Training Epoch: 17 [26112/48700]	Loss: 0.7640	LR: 0.020000
Training Epoch: 17 [26368/48700]	Loss: 0.7075	LR: 0.020000
Training Epoch: 17 [26624/48700]	Loss: 0.5870	LR: 0.020000
Training Epoch: 17 [26880/48700]	Loss: 0.6270	LR: 0.020000
Training Epoch: 17 [27136/48700]	Loss: 0.6512	LR: 0.020000
Training Epoch: 17 [27392/48700]	Loss: 0.8235	LR: 0.020000
Training Epoch: 17 [27648/48700]	Loss: 0.6093	LR: 0.020000
Training Epoch: 17 [27904/48700]	Loss: 0.6860	LR: 0.020000
Training Epoch: 17 [28160/48700]	Loss: 0.7051	LR: 0.020000
Training Epoch: 17 [28416/48700]	Loss: 0.6550	LR: 0.020000
Training Epoch: 17 [28672/48700]	Loss: 0.7068	LR: 0.020000
Training Epoch: 17 [28928/48700]	Loss: 0.6818	LR: 0.020000
Training Epoch: 17 [29184/48700]	Loss: 0.6516	LR: 0.020000
Training Epoch: 17 [29440/48700]	Loss: 0.6255	LR: 0.020000
Training Epoch: 17 [29696/48700]	Loss: 0.7304	LR: 0.020000
Training Epoch: 17 [29952/48700]	Loss: 0.7152	LR: 0.020000
Training Epoch: 17 [30208/48700]	Loss: 0.6156	LR: 0.020000
Training Epoch: 17 [30464/48700]	Loss: 0.6320	LR: 0.020000
Training Epoch: 17 [30720/48700]	Loss: 0.7171	LR: 0.020000
Training Epoch: 17 [30976/48700]	Loss: 0.7366	LR: 0.020000
Training Epoch: 17 [31232/48700]	Loss: 0.7896	LR: 0.020000
Training Epoch: 17 [31488/48700]	Loss: 0.7779	LR: 0.020000
Training Epoch: 17 [31744/48700]	Loss: 0.5995	LR: 0.020000
Training Epoch: 17 [32000/48700]	Loss: 0.6691	LR: 0.020000
Training Epoch: 17 [32256/48700]	Loss: 0.5961	LR: 0.020000
Training Epoch: 17 [32512/48700]	Loss: 0.8229	LR: 0.020000
Training Epoch: 17 [32768/48700]	Loss: 0.6670	LR: 0.020000
Training Epoch: 17 [33024/48700]	Loss: 0.6665	LR: 0.020000
Training Epoch: 17 [33280/48700]	Loss: 0.7860	LR: 0.020000
Training Epoch: 17 [33536/48700]	Loss: 0.6811	LR: 0.020000
Training Epoch: 17 [33792/48700]	Loss: 0.6105	LR: 0.020000
Training Epoch: 17 [34048/48700]	Loss: 0.6438	LR: 0.020000
Training Epoch: 17 [34304/48700]	Loss: 0.7210	LR: 0.020000
Training Epoch: 17 [34560/48700]	Loss: 0.6258	LR: 0.020000
Training Epoch: 17 [34816/48700]	Loss: 0.5604	LR: 0.020000
Training Epoch: 17 [35072/48700]	Loss: 0.6861	LR: 0.020000
Training Epoch: 17 [35328/48700]	Loss: 0.7094	LR: 0.020000
Training Epoch: 17 [35584/48700]	Loss: 0.7474	LR: 0.020000
Training Epoch: 17 [35840/48700]	Loss: 0.5632	LR: 0.020000
Training Epoch: 17 [36096/48700]	Loss: 0.7025	LR: 0.020000
Training Epoch: 17 [36352/48700]	Loss: 0.7412	LR: 0.020000
Training Epoch: 17 [36608/48700]	Loss: 0.5960	LR: 0.020000
Training Epoch: 17 [36864/48700]	Loss: 0.7093	LR: 0.020000
Training Epoch: 17 [37120/48700]	Loss: 0.7185	LR: 0.020000
Training Epoch: 17 [37376/48700]	Loss: 0.6093	LR: 0.020000
Training Epoch: 17 [37632/48700]	Loss: 0.7240	LR: 0.020000
Training Epoch: 17 [37888/48700]	Loss: 0.6670	LR: 0.020000
Training Epoch: 17 [38144/48700]	Loss: 0.6170	LR: 0.020000
Training Epoch: 17 [38400/48700]	Loss: 0.7583	LR: 0.020000
Training Epoch: 17 [38656/48700]	Loss: 0.6143	LR: 0.020000
Training Epoch: 17 [38912/48700]	Loss: 0.7222	LR: 0.020000
Training Epoch: 17 [39168/48700]	Loss: 0.7884	LR: 0.020000
Training Epoch: 17 [39424/48700]	Loss: 0.6743	LR: 0.020000
Training Epoch: 17 [39680/48700]	Loss: 0.6082	LR: 0.020000
Training Epoch: 17 [39936/48700]	Loss: 0.6993	LR: 0.020000
Training Epoch: 17 [40192/48700]	Loss: 0.6444	LR: 0.020000
Training Epoch: 17 [40448/48700]	Loss: 0.7132	LR: 0.020000
Training Epoch: 17 [40704/48700]	Loss: 0.6210	LR: 0.020000
Training Epoch: 17 [40960/48700]	Loss: 0.6570	LR: 0.020000
Training Epoch: 17 [41216/48700]	Loss: 0.6319	LR: 0.020000
Training Epoch: 17 [41472/48700]	Loss: 0.8409	LR: 0.020000
Training Epoch: 17 [41728/48700]	Loss: 0.6464	LR: 0.020000
Training Epoch: 17 [41984/48700]	Loss: 0.6565	LR: 0.020000
Training Epoch: 17 [42240/48700]	Loss: 0.6368	LR: 0.020000
Training Epoch: 17 [42496/48700]	Loss: 0.6234	LR: 0.020000
Training Epoch: 17 [42752/48700]	Loss: 0.7602	LR: 0.020000
Training Epoch: 17 [43008/48700]	Loss: 0.6100	LR: 0.020000
Training Epoch: 17 [43264/48700]	Loss: 0.6522	LR: 0.020000
Training Epoch: 17 [43520/48700]	Loss: 0.7338	LR: 0.020000
Training Epoch: 17 [43776/48700]	Loss: 0.6807	LR: 0.020000
Training Epoch: 17 [44032/48700]	Loss: 0.6778	LR: 0.020000
Training Epoch: 17 [44288/48700]	Loss: 0.6639	LR: 0.020000
Training Epoch: 17 [44544/48700]	Loss: 0.5815	LR: 0.020000
Training Epoch: 17 [44800/48700]	Loss: 0.7405	LR: 0.020000
Training Epoch: 17 [45056/48700]	Loss: 0.8236	LR: 0.020000
Training Epoch: 17 [45312/48700]	Loss: 0.7322	LR: 0.020000
Training Epoch: 17 [45568/48700]	Loss: 0.7912	LR: 0.020000
Training Epoch: 17 [45824/48700]	Loss: 0.7245	LR: 0.020000
Training Epoch: 17 [46080/48700]	Loss: 0.6361	LR: 0.020000
Training Epoch: 17 [46336/48700]	Loss: 0.6419	LR: 0.020000
Training Epoch: 17 [46592/48700]	Loss: 0.6059	LR: 0.020000
Training Epoch: 17 [46848/48700]	Loss: 0.6189	LR: 0.020000
Training Epoch: 17 [47104/48700]	Loss: 0.6840	LR: 0.020000
Training Epoch: 17 [47360/48700]	Loss: 0.7441	LR: 0.020000
Training Epoch: 17 [47616/48700]	Loss: 0.6474	LR: 0.020000
Training Epoch: 17 [47872/48700]	Loss: 0.6977	LR: 0.020000
Training Epoch: 17 [48128/48700]	Loss: 0.6943	LR: 0.020000
Training Epoch: 17 [48384/48700]	Loss: 0.7459	LR: 0.020000
Training Epoch: 17 [48640/48700]	Loss: 0.6199	LR: 0.020000
Training Epoch: 17 [48700/48700]	Loss: 0.4899	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6693, Train Accuracy: 0.7870
Epoch 17 training time consumed: 26.85s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0034, Accuracy: 0.7323, Time consumed:0.91s
Training Epoch: 18 [256/48700]	Loss: 0.6526	LR: 0.020000
Training Epoch: 18 [512/48700]	Loss: 0.6781	LR: 0.020000
Training Epoch: 18 [768/48700]	Loss: 0.6816	LR: 0.020000
Training Epoch: 18 [1024/48700]	Loss: 0.5097	LR: 0.020000
Training Epoch: 18 [1280/48700]	Loss: 0.6095	LR: 0.020000
Training Epoch: 18 [1536/48700]	Loss: 0.6560	LR: 0.020000
Training Epoch: 18 [1792/48700]	Loss: 0.6002	LR: 0.020000
Training Epoch: 18 [2048/48700]	Loss: 0.6363	LR: 0.020000
Training Epoch: 18 [2304/48700]	Loss: 0.7248	LR: 0.020000
Training Epoch: 18 [2560/48700]	Loss: 0.5825	LR: 0.020000
Training Epoch: 18 [2816/48700]	Loss: 0.6325	LR: 0.020000
Training Epoch: 18 [3072/48700]	Loss: 0.5432	LR: 0.020000
Training Epoch: 18 [3328/48700]	Loss: 0.5539	LR: 0.020000
Training Epoch: 18 [3584/48700]	Loss: 0.6695	LR: 0.020000
Training Epoch: 18 [3840/48700]	Loss: 0.6666	LR: 0.020000
Training Epoch: 18 [4096/48700]	Loss: 0.6383	LR: 0.020000
Training Epoch: 18 [4352/48700]	Loss: 0.6027	LR: 0.020000
Training Epoch: 18 [4608/48700]	Loss: 0.7807	LR: 0.020000
Training Epoch: 18 [4864/48700]	Loss: 0.5315	LR: 0.020000
Training Epoch: 18 [5120/48700]	Loss: 0.7532	LR: 0.020000
Training Epoch: 18 [5376/48700]	Loss: 0.5970	LR: 0.020000
Training Epoch: 18 [5632/48700]	Loss: 0.6289	LR: 0.020000
Training Epoch: 18 [5888/48700]	Loss: 0.6546	LR: 0.020000
Training Epoch: 18 [6144/48700]	Loss: 0.6759	LR: 0.020000
Training Epoch: 18 [6400/48700]	Loss: 0.6319	LR: 0.020000
Training Epoch: 18 [6656/48700]	Loss: 0.7883	LR: 0.020000
Training Epoch: 18 [6912/48700]	Loss: 0.5944	LR: 0.020000
Training Epoch: 18 [7168/48700]	Loss: 0.6631	LR: 0.020000
Training Epoch: 18 [7424/48700]	Loss: 0.7438	LR: 0.020000
Training Epoch: 18 [7680/48700]	Loss: 0.6239	LR: 0.020000
Training Epoch: 18 [7936/48700]	Loss: 0.6069	LR: 0.020000
Training Epoch: 18 [8192/48700]	Loss: 0.7153	LR: 0.020000
Training Epoch: 18 [8448/48700]	Loss: 0.7164	LR: 0.020000
Training Epoch: 18 [8704/48700]	Loss: 0.5842	LR: 0.020000
Training Epoch: 18 [8960/48700]	Loss: 0.6634	LR: 0.020000
Training Epoch: 18 [9216/48700]	Loss: 0.7651	LR: 0.020000
Training Epoch: 18 [9472/48700]	Loss: 0.6777	LR: 0.020000
Training Epoch: 18 [9728/48700]	Loss: 0.5548	LR: 0.020000
Training Epoch: 18 [9984/48700]	Loss: 0.5492	LR: 0.020000
Training Epoch: 18 [10240/48700]	Loss: 0.6067	LR: 0.020000
Training Epoch: 18 [10496/48700]	Loss: 0.5782	LR: 0.020000
Training Epoch: 18 [10752/48700]	Loss: 0.6938	LR: 0.020000
Training Epoch: 18 [11008/48700]	Loss: 0.6948	LR: 0.020000
Training Epoch: 18 [11264/48700]	Loss: 0.7102	LR: 0.020000
Training Epoch: 18 [11520/48700]	Loss: 0.6756	LR: 0.020000
Training Epoch: 18 [11776/48700]	Loss: 0.5879	LR: 0.020000
Training Epoch: 18 [12032/48700]	Loss: 0.6862	LR: 0.020000
Training Epoch: 18 [12288/48700]	Loss: 0.6327	LR: 0.020000
Training Epoch: 18 [12544/48700]	Loss: 0.5558	LR: 0.020000
Training Epoch: 18 [12800/48700]	Loss: 0.6760	LR: 0.020000
Training Epoch: 18 [13056/48700]	Loss: 0.7044	LR: 0.020000
Training Epoch: 18 [13312/48700]	Loss: 0.5586	LR: 0.020000
Training Epoch: 18 [13568/48700]	Loss: 0.6439	LR: 0.020000
Training Epoch: 18 [13824/48700]	Loss: 0.7367	LR: 0.020000
Training Epoch: 18 [14080/48700]	Loss: 0.5539	LR: 0.020000
Training Epoch: 18 [14336/48700]	Loss: 0.6084	LR: 0.020000
Training Epoch: 18 [14592/48700]	Loss: 0.6905	LR: 0.020000
Training Epoch: 18 [14848/48700]	Loss: 0.6558	LR: 0.020000
Training Epoch: 18 [15104/48700]	Loss: 0.7824	LR: 0.020000
Training Epoch: 18 [15360/48700]	Loss: 0.5497	LR: 0.020000
Training Epoch: 18 [15616/48700]	Loss: 0.5625	LR: 0.020000
Training Epoch: 18 [15872/48700]	Loss: 0.6250	LR: 0.020000
Training Epoch: 18 [16128/48700]	Loss: 0.6663	LR: 0.020000
Training Epoch: 18 [16384/48700]	Loss: 0.6524	LR: 0.020000
Training Epoch: 18 [16640/48700]	Loss: 0.7404	LR: 0.020000
Training Epoch: 18 [16896/48700]	Loss: 0.6365	LR: 0.020000
Training Epoch: 18 [17152/48700]	Loss: 0.6621	LR: 0.020000
Training Epoch: 18 [17408/48700]	Loss: 0.6198	LR: 0.020000
Training Epoch: 18 [17664/48700]	Loss: 0.6198	LR: 0.020000
Training Epoch: 18 [17920/48700]	Loss: 0.7747	LR: 0.020000
Training Epoch: 18 [18176/48700]	Loss: 0.5908	LR: 0.020000
Training Epoch: 18 [18432/48700]	Loss: 0.6678	LR: 0.020000
Training Epoch: 18 [18688/48700]	Loss: 0.6698	LR: 0.020000
Training Epoch: 18 [18944/48700]	Loss: 0.6376	LR: 0.020000
Training Epoch: 18 [19200/48700]	Loss: 0.6133	LR: 0.020000
Training Epoch: 18 [19456/48700]	Loss: 0.6895	LR: 0.020000
Training Epoch: 18 [19712/48700]	Loss: 0.6952	LR: 0.020000
Training Epoch: 18 [19968/48700]	Loss: 0.7733	LR: 0.020000
Training Epoch: 18 [20224/48700]	Loss: 0.6183	LR: 0.020000
Training Epoch: 18 [20480/48700]	Loss: 0.6243	LR: 0.020000
Training Epoch: 18 [20736/48700]	Loss: 0.6746	LR: 0.020000
Training Epoch: 18 [20992/48700]	Loss: 0.7024	LR: 0.020000
Training Epoch: 18 [21248/48700]	Loss: 0.6006	LR: 0.020000
Training Epoch: 18 [21504/48700]	Loss: 0.7433	LR: 0.020000
Training Epoch: 18 [21760/48700]	Loss: 0.5531	LR: 0.020000
Training Epoch: 18 [22016/48700]	Loss: 0.6724	LR: 0.020000
Training Epoch: 18 [22272/48700]	Loss: 0.7474	LR: 0.020000
Training Epoch: 18 [22528/48700]	Loss: 0.6285	LR: 0.020000
Training Epoch: 18 [22784/48700]	Loss: 0.6404	LR: 0.020000
Training Epoch: 18 [23040/48700]	Loss: 0.6221	LR: 0.020000
Training Epoch: 18 [23296/48700]	Loss: 0.6337	LR: 0.020000
Training Epoch: 18 [23552/48700]	Loss: 0.5651	LR: 0.020000
Training Epoch: 18 [23808/48700]	Loss: 0.7893	LR: 0.020000
Training Epoch: 18 [24064/48700]	Loss: 0.6239	LR: 0.020000
Training Epoch: 18 [24320/48700]	Loss: 0.6939	LR: 0.020000
Training Epoch: 18 [24576/48700]	Loss: 0.6522	LR: 0.020000
Training Epoch: 18 [24832/48700]	Loss: 0.6225	LR: 0.020000
Training Epoch: 18 [25088/48700]	Loss: 0.6910	LR: 0.020000
Training Epoch: 18 [25344/48700]	Loss: 0.6446	LR: 0.020000
Training Epoch: 18 [25600/48700]	Loss: 0.7030	LR: 0.020000
Training Epoch: 18 [25856/48700]	Loss: 0.5189	LR: 0.020000
Training Epoch: 18 [26112/48700]	Loss: 0.6769	LR: 0.020000
Training Epoch: 18 [26368/48700]	Loss: 0.7784	LR: 0.020000
Training Epoch: 18 [26624/48700]	Loss: 0.5318	LR: 0.020000
Training Epoch: 18 [26880/48700]	Loss: 0.6302	LR: 0.020000
Training Epoch: 18 [27136/48700]	Loss: 0.5668	LR: 0.020000
Training Epoch: 18 [27392/48700]	Loss: 0.6259	LR: 0.020000
Training Epoch: 18 [27648/48700]	Loss: 0.6339	LR: 0.020000
Training Epoch: 18 [27904/48700]	Loss: 0.6483	LR: 0.020000
Training Epoch: 18 [28160/48700]	Loss: 0.6140	LR: 0.020000
Training Epoch: 18 [28416/48700]	Loss: 0.6843	LR: 0.020000
Training Epoch: 18 [28672/48700]	Loss: 0.7089	LR: 0.020000
Training Epoch: 18 [28928/48700]	Loss: 0.5731	LR: 0.020000
Training Epoch: 18 [29184/48700]	Loss: 0.6785	LR: 0.020000
Training Epoch: 18 [29440/48700]	Loss: 0.6605	LR: 0.020000
Training Epoch: 18 [29696/48700]	Loss: 0.8144	LR: 0.020000
Training Epoch: 18 [29952/48700]	Loss: 0.6445	LR: 0.020000
Training Epoch: 18 [30208/48700]	Loss: 0.7019	LR: 0.020000
Training Epoch: 18 [30464/48700]	Loss: 0.6570	LR: 0.020000
Training Epoch: 18 [30720/48700]	Loss: 0.6358	LR: 0.020000
Training Epoch: 18 [30976/48700]	Loss: 0.7013	LR: 0.020000
Training Epoch: 18 [31232/48700]	Loss: 0.5855	LR: 0.020000
Training Epoch: 18 [31488/48700]	Loss: 0.6401	LR: 0.020000
Training Epoch: 18 [31744/48700]	Loss: 0.8253	LR: 0.020000
Training Epoch: 18 [32000/48700]	Loss: 0.6354	LR: 0.020000
Training Epoch: 18 [32256/48700]	Loss: 0.6602	LR: 0.020000
Training Epoch: 18 [32512/48700]	Loss: 0.7408	LR: 0.020000
Training Epoch: 18 [32768/48700]	Loss: 0.5893	LR: 0.020000
Training Epoch: 18 [33024/48700]	Loss: 0.6210	LR: 0.020000
Training Epoch: 18 [33280/48700]	Loss: 0.6444	LR: 0.020000
Training Epoch: 18 [33536/48700]	Loss: 0.5630	LR: 0.020000
Training Epoch: 18 [33792/48700]	Loss: 0.6524	LR: 0.020000
Training Epoch: 18 [34048/48700]	Loss: 0.6138	LR: 0.020000
Training Epoch: 18 [34304/48700]	Loss: 0.5948	LR: 0.020000
Training Epoch: 18 [34560/48700]	Loss: 0.6229	LR: 0.020000
Training Epoch: 18 [34816/48700]	Loss: 0.6047	LR: 0.020000
Training Epoch: 18 [35072/48700]	Loss: 0.6163	LR: 0.020000
Training Epoch: 18 [35328/48700]	Loss: 0.6856	LR: 0.020000
Training Epoch: 18 [35584/48700]	Loss: 0.6574	LR: 0.020000
Training Epoch: 18 [35840/48700]	Loss: 0.7861	LR: 0.020000
Training Epoch: 18 [36096/48700]	Loss: 0.6269	LR: 0.020000
Training Epoch: 18 [36352/48700]	Loss: 0.5666	LR: 0.020000
Training Epoch: 18 [36608/48700]	Loss: 0.6973	LR: 0.020000
Training Epoch: 18 [36864/48700]	Loss: 0.6344	LR: 0.020000
Training Epoch: 18 [37120/48700]	Loss: 0.6513	LR: 0.020000
Training Epoch: 18 [37376/48700]	Loss: 0.7138	LR: 0.020000
Training Epoch: 18 [37632/48700]	Loss: 0.6545	LR: 0.020000
Training Epoch: 18 [37888/48700]	Loss: 0.7662	LR: 0.020000
Training Epoch: 18 [38144/48700]	Loss: 0.5942	LR: 0.020000
Training Epoch: 18 [38400/48700]	Loss: 0.6226	LR: 0.020000
Training Epoch: 18 [38656/48700]	Loss: 0.6974	LR: 0.020000
Training Epoch: 18 [38912/48700]	Loss: 0.6175	LR: 0.020000
Training Epoch: 18 [39168/48700]	Loss: 0.6072	LR: 0.020000
Training Epoch: 18 [39424/48700]	Loss: 0.7301	LR: 0.020000
Training Epoch: 18 [39680/48700]	Loss: 0.6019	LR: 0.020000
Training Epoch: 18 [39936/48700]	Loss: 0.7309	LR: 0.020000
Training Epoch: 18 [40192/48700]	Loss: 0.6195	LR: 0.020000
Training Epoch: 18 [40448/48700]	Loss: 0.5694	LR: 0.020000
Training Epoch: 18 [40704/48700]	Loss: 0.7729	LR: 0.020000
Training Epoch: 18 [40960/48700]	Loss: 0.6526	LR: 0.020000
Training Epoch: 18 [41216/48700]	Loss: 0.7099	LR: 0.020000
Training Epoch: 18 [41472/48700]	Loss: 0.6306	LR: 0.020000
Training Epoch: 18 [41728/48700]	Loss: 0.7339	LR: 0.020000
Training Epoch: 18 [41984/48700]	Loss: 0.6401	LR: 0.020000
Training Epoch: 18 [42240/48700]	Loss: 0.6517	LR: 0.020000
Training Epoch: 18 [42496/48700]	Loss: 0.6193	LR: 0.020000
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Training Epoch: 18 [46336/48700]	Loss: 0.7124	LR: 0.020000
Training Epoch: 18 [46592/48700]	Loss: 0.6423	LR: 0.020000
Training Epoch: 18 [46848/48700]	Loss: 0.7319	LR: 0.020000
Training Epoch: 18 [47104/48700]	Loss: 0.7884	LR: 0.020000
Training Epoch: 18 [47360/48700]	Loss: 0.6624	LR: 0.020000
Training Epoch: 18 [47616/48700]	Loss: 0.6412	LR: 0.020000
Training Epoch: 18 [47872/48700]	Loss: 0.5548	LR: 0.020000
Training Epoch: 18 [48128/48700]	Loss: 0.6889	LR: 0.020000
Training Epoch: 18 [48384/48700]	Loss: 0.5694	LR: 0.020000
Training Epoch: 18 [48640/48700]	Loss: 0.6941	LR: 0.020000
Training Epoch: 18 [48700/48700]	Loss: 0.7127	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6541, Train Accuracy: 0.7899
Epoch 18 training time consumed: 27.27s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0032, Accuracy: 0.7478, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-18-best.pth
Training Epoch: 19 [256/48700]	Loss: 0.6160	LR: 0.020000
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Training Epoch: 19 [46592/48700]	Loss: 0.6644	LR: 0.020000
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Training Epoch: 19 [47104/48700]	Loss: 0.6673	LR: 0.020000
Training Epoch: 19 [47360/48700]	Loss: 0.6213	LR: 0.020000
Training Epoch: 19 [47616/48700]	Loss: 0.6463	LR: 0.020000
Training Epoch: 19 [47872/48700]	Loss: 0.6595	LR: 0.020000
Training Epoch: 19 [48128/48700]	Loss: 0.6076	LR: 0.020000
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Training Epoch: 19 [48640/48700]	Loss: 0.6022	LR: 0.020000
Training Epoch: 19 [48700/48700]	Loss: 0.7766	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6278, Train Accuracy: 0.7986
Epoch 19 training time consumed: 26.78s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0036, Accuracy: 0.7295, Time consumed:0.87s
Training Epoch: 20 [256/48700]	Loss: 0.6629	LR: 0.020000
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Training Epoch: 20 [1024/48700]	Loss: 0.5811	LR: 0.020000
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Training Epoch: 20 [1536/48700]	Loss: 0.6351	LR: 0.020000
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Training Epoch: 20 [16896/48700]	Loss: 0.5866	LR: 0.020000
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Training Epoch: 20 [17408/48700]	Loss: 0.6358	LR: 0.020000
Training Epoch: 20 [17664/48700]	Loss: 0.5759	LR: 0.020000
Training Epoch: 20 [17920/48700]	Loss: 0.6138	LR: 0.020000
Training Epoch: 20 [18176/48700]	Loss: 0.7032	LR: 0.020000
Training Epoch: 20 [18432/48700]	Loss: 0.6379	LR: 0.020000
Training Epoch: 20 [18688/48700]	Loss: 0.6199	LR: 0.020000
Training Epoch: 20 [18944/48700]	Loss: 0.6626	LR: 0.020000
Training Epoch: 20 [19200/48700]	Loss: 0.6623	LR: 0.020000
Training Epoch: 20 [19456/48700]	Loss: 0.5007	LR: 0.020000
Training Epoch: 20 [19712/48700]	Loss: 0.6580	LR: 0.020000
Training Epoch: 20 [19968/48700]	Loss: 0.6055	LR: 0.020000
Training Epoch: 20 [20224/48700]	Loss: 0.5424	LR: 0.020000
Training Epoch: 20 [20480/48700]	Loss: 0.5675	LR: 0.020000
Training Epoch: 20 [20736/48700]	Loss: 0.6672	LR: 0.020000
Training Epoch: 20 [20992/48700]	Loss: 0.6097	LR: 0.020000
Training Epoch: 20 [21248/48700]	Loss: 0.6172	LR: 0.020000
Training Epoch: 20 [21504/48700]	Loss: 0.5838	LR: 0.020000
Training Epoch: 20 [21760/48700]	Loss: 0.5522	LR: 0.020000
Training Epoch: 20 [22016/48700]	Loss: 0.5958	LR: 0.020000
Training Epoch: 20 [22272/48700]	Loss: 0.6964	LR: 0.020000
Training Epoch: 20 [22528/48700]	Loss: 0.5646	LR: 0.020000
Training Epoch: 20 [22784/48700]	Loss: 0.7455	LR: 0.020000
Training Epoch: 20 [23040/48700]	Loss: 0.7624	LR: 0.020000
Training Epoch: 20 [23296/48700]	Loss: 0.5594	LR: 0.020000
Training Epoch: 20 [23552/48700]	Loss: 0.7614	LR: 0.020000
Training Epoch: 20 [23808/48700]	Loss: 0.5330	LR: 0.020000
Training Epoch: 20 [24064/48700]	Loss: 0.5075	LR: 0.020000
Training Epoch: 20 [24320/48700]	Loss: 0.6166	LR: 0.020000
Training Epoch: 20 [24576/48700]	Loss: 0.5528	LR: 0.020000
Training Epoch: 20 [24832/48700]	Loss: 0.6215	LR: 0.020000
Training Epoch: 20 [25088/48700]	Loss: 0.6045	LR: 0.020000
Training Epoch: 20 [25344/48700]	Loss: 0.6385	LR: 0.020000
Training Epoch: 20 [25600/48700]	Loss: 0.6262	LR: 0.020000
Training Epoch: 20 [25856/48700]	Loss: 0.5688	LR: 0.020000
Training Epoch: 20 [26112/48700]	Loss: 0.5124	LR: 0.020000
Training Epoch: 20 [26368/48700]	Loss: 0.5736	LR: 0.020000
Training Epoch: 20 [26624/48700]	Loss: 0.4494	LR: 0.020000
Training Epoch: 20 [26880/48700]	Loss: 0.5756	LR: 0.020000
Training Epoch: 20 [27136/48700]	Loss: 0.4973	LR: 0.020000
Training Epoch: 20 [27392/48700]	Loss: 0.6484	LR: 0.020000
Training Epoch: 20 [27648/48700]	Loss: 0.5282	LR: 0.020000
Training Epoch: 20 [27904/48700]	Loss: 0.5975	LR: 0.020000
Training Epoch: 20 [28160/48700]	Loss: 0.7358	LR: 0.020000
Training Epoch: 20 [28416/48700]	Loss: 0.6255	LR: 0.020000
Training Epoch: 20 [28672/48700]	Loss: 0.7176	LR: 0.020000
Training Epoch: 20 [28928/48700]	Loss: 0.6571	LR: 0.020000
Training Epoch: 20 [29184/48700]	Loss: 0.6048	LR: 0.020000
Training Epoch: 20 [29440/48700]	Loss: 0.6687	LR: 0.020000
Training Epoch: 20 [29696/48700]	Loss: 0.5231	LR: 0.020000
Training Epoch: 20 [29952/48700]	Loss: 0.6736	LR: 0.020000
Training Epoch: 20 [30208/48700]	Loss: 0.5970	LR: 0.020000
Training Epoch: 20 [30464/48700]	Loss: 0.6743	LR: 0.020000
Training Epoch: 20 [30720/48700]	Loss: 0.6660	LR: 0.020000
Training Epoch: 20 [30976/48700]	Loss: 0.6006	LR: 0.020000
Training Epoch: 20 [31232/48700]	Loss: 0.5927	LR: 0.020000
Training Epoch: 20 [31488/48700]	Loss: 0.6131	LR: 0.020000
Training Epoch: 20 [31744/48700]	Loss: 0.6229	LR: 0.020000
Training Epoch: 20 [32000/48700]	Loss: 0.5573	LR: 0.020000
Training Epoch: 20 [32256/48700]	Loss: 0.5766	LR: 0.020000
Training Epoch: 20 [32512/48700]	Loss: 0.6021	LR: 0.020000
Training Epoch: 20 [32768/48700]	Loss: 0.5968	LR: 0.020000
Training Epoch: 20 [33024/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 20 [33280/48700]	Loss: 0.7196	LR: 0.020000
Training Epoch: 20 [33536/48700]	Loss: 0.6728	LR: 0.020000
Training Epoch: 20 [33792/48700]	Loss: 0.5586	LR: 0.020000
Training Epoch: 20 [34048/48700]	Loss: 0.5344	LR: 0.020000
Training Epoch: 20 [34304/48700]	Loss: 0.5725	LR: 0.020000
Training Epoch: 20 [34560/48700]	Loss: 0.6213	LR: 0.020000
Training Epoch: 20 [34816/48700]	Loss: 0.7487	LR: 0.020000
Training Epoch: 20 [35072/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 20 [35328/48700]	Loss: 0.6185	LR: 0.020000
Training Epoch: 20 [35584/48700]	Loss: 0.6815	LR: 0.020000
Training Epoch: 20 [35840/48700]	Loss: 0.5395	LR: 0.020000
Training Epoch: 20 [36096/48700]	Loss: 0.6340	LR: 0.020000
Training Epoch: 20 [36352/48700]	Loss: 0.6212	LR: 0.020000
Training Epoch: 20 [36608/48700]	Loss: 0.7111	LR: 0.020000
Training Epoch: 20 [36864/48700]	Loss: 0.6273	LR: 0.020000
Training Epoch: 20 [37120/48700]	Loss: 0.5341	LR: 0.020000
Training Epoch: 20 [37376/48700]	Loss: 0.5863	LR: 0.020000
Training Epoch: 20 [37632/48700]	Loss: 0.6863	LR: 0.020000
Training Epoch: 20 [37888/48700]	Loss: 0.7188	LR: 0.020000
Training Epoch: 20 [38144/48700]	Loss: 0.5988	LR: 0.020000
Training Epoch: 20 [38400/48700]	Loss: 0.5823	LR: 0.020000
Training Epoch: 20 [38656/48700]	Loss: 0.6892	LR: 0.020000
Training Epoch: 20 [38912/48700]	Loss: 0.5735	LR: 0.020000
Training Epoch: 20 [39168/48700]	Loss: 0.5616	LR: 0.020000
Training Epoch: 20 [39424/48700]	Loss: 0.5665	LR: 0.020000
Training Epoch: 20 [39680/48700]	Loss: 0.6369	LR: 0.020000
Training Epoch: 20 [39936/48700]	Loss: 0.6324	LR: 0.020000
Training Epoch: 20 [40192/48700]	Loss: 0.6530	LR: 0.020000
Training Epoch: 20 [40448/48700]	Loss: 0.5978	LR: 0.020000
Training Epoch: 20 [40704/48700]	Loss: 0.5721	LR: 0.020000
Training Epoch: 20 [40960/48700]	Loss: 0.6748	LR: 0.020000
Training Epoch: 20 [41216/48700]	Loss: 0.6218	LR: 0.020000
Training Epoch: 20 [41472/48700]	Loss: 0.6223	LR: 0.020000
Training Epoch: 20 [41728/48700]	Loss: 0.6443	LR: 0.020000
Training Epoch: 20 [41984/48700]	Loss: 0.5991	LR: 0.020000
Training Epoch: 20 [42240/48700]	Loss: 0.6064	LR: 0.020000
Training Epoch: 20 [42496/48700]	Loss: 0.6304	LR: 0.020000
Training Epoch: 20 [42752/48700]	Loss: 0.7324	LR: 0.020000
Training Epoch: 20 [43008/48700]	Loss: 0.5900	LR: 0.020000
Training Epoch: 20 [43264/48700]	Loss: 0.5610	LR: 0.020000
Training Epoch: 20 [43520/48700]	Loss: 0.6409	LR: 0.020000
Training Epoch: 20 [43776/48700]	Loss: 0.6544	LR: 0.020000
Training Epoch: 20 [44032/48700]	Loss: 0.6739	LR: 0.020000
Training Epoch: 20 [44288/48700]	Loss: 0.6393	LR: 0.020000
Training Epoch: 20 [44544/48700]	Loss: 0.6991	LR: 0.020000
Training Epoch: 20 [44800/48700]	Loss: 0.5883	LR: 0.020000
Training Epoch: 20 [45056/48700]	Loss: 0.6748	LR: 0.020000
Training Epoch: 20 [45312/48700]	Loss: 0.5940	LR: 0.020000
Training Epoch: 20 [45568/48700]	Loss: 0.5942	LR: 0.020000
Training Epoch: 20 [45824/48700]	Loss: 0.6503	LR: 0.020000
Training Epoch: 20 [46080/48700]	Loss: 0.6255	LR: 0.020000
Training Epoch: 20 [46336/48700]	Loss: 0.6197	LR: 0.020000
Training Epoch: 20 [46592/48700]	Loss: 0.7039	LR: 0.020000
Training Epoch: 20 [46848/48700]	Loss: 0.5245	LR: 0.020000
Training Epoch: 20 [47104/48700]	Loss: 0.4717	LR: 0.020000
Training Epoch: 20 [47360/48700]	Loss: 0.5626	LR: 0.020000
Training Epoch: 20 [47616/48700]	Loss: 0.5234	LR: 0.020000
Training Epoch: 20 [47872/48700]	Loss: 0.6248	LR: 0.020000
Training Epoch: 20 [48128/48700]	Loss: 0.6826	LR: 0.020000
Training Epoch: 20 [48384/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 20 [48640/48700]	Loss: 0.6233	LR: 0.020000
Training Epoch: 20 [48700/48700]	Loss: 0.5857	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6106, Train Accuracy: 0.8032
Epoch 20 training time consumed: 26.99s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0033, Accuracy: 0.7471, Time consumed:0.95s
Training Epoch: 21 [256/48700]	Loss: 0.6074	LR: 0.020000
Training Epoch: 21 [512/48700]	Loss: 0.6101	LR: 0.020000
Training Epoch: 21 [768/48700]	Loss: 0.5518	LR: 0.020000
Training Epoch: 21 [1024/48700]	Loss: 0.5863	LR: 0.020000
Training Epoch: 21 [1280/48700]	Loss: 0.6376	LR: 0.020000
Training Epoch: 21 [1536/48700]	Loss: 0.5422	LR: 0.020000
Training Epoch: 21 [1792/48700]	Loss: 0.5601	LR: 0.020000
Training Epoch: 21 [2048/48700]	Loss: 0.5275	LR: 0.020000
Training Epoch: 21 [2304/48700]	Loss: 0.5904	LR: 0.020000
Training Epoch: 21 [2560/48700]	Loss: 0.5779	LR: 0.020000
Training Epoch: 21 [2816/48700]	Loss: 0.6629	LR: 0.020000
Training Epoch: 21 [3072/48700]	Loss: 0.5796	LR: 0.020000
Training Epoch: 21 [3328/48700]	Loss: 0.6060	LR: 0.020000
Training Epoch: 21 [3584/48700]	Loss: 0.5447	LR: 0.020000
Training Epoch: 21 [3840/48700]	Loss: 0.6807	LR: 0.020000
Training Epoch: 21 [4096/48700]	Loss: 0.5826	LR: 0.020000
Training Epoch: 21 [4352/48700]	Loss: 0.6399	LR: 0.020000
Training Epoch: 21 [4608/48700]	Loss: 0.5489	LR: 0.020000
Training Epoch: 21 [4864/48700]	Loss: 0.6328	LR: 0.020000
Training Epoch: 21 [5120/48700]	Loss: 0.5347	LR: 0.020000
Training Epoch: 21 [5376/48700]	Loss: 0.5802	LR: 0.020000
Training Epoch: 21 [5632/48700]	Loss: 0.5501	LR: 0.020000
Training Epoch: 21 [5888/48700]	Loss: 0.5875	LR: 0.020000
Training Epoch: 21 [6144/48700]	Loss: 0.5066	LR: 0.020000
Training Epoch: 21 [6400/48700]	Loss: 0.5880	LR: 0.020000
Training Epoch: 21 [6656/48700]	Loss: 0.6118	LR: 0.020000
Training Epoch: 21 [6912/48700]	Loss: 0.5440	LR: 0.020000
Training Epoch: 21 [7168/48700]	Loss: 0.4772	LR: 0.020000
Training Epoch: 21 [7424/48700]	Loss: 0.5335	LR: 0.020000
Training Epoch: 21 [7680/48700]	Loss: 0.5454	LR: 0.020000
Training Epoch: 21 [7936/48700]	Loss: 0.5912	LR: 0.020000
Training Epoch: 21 [8192/48700]	Loss: 0.6470	LR: 0.020000
Training Epoch: 21 [8448/48700]	Loss: 0.7227	LR: 0.020000
Training Epoch: 21 [8704/48700]	Loss: 0.6128	LR: 0.020000
Training Epoch: 21 [8960/48700]	Loss: 0.5718	LR: 0.020000
Training Epoch: 21 [9216/48700]	Loss: 0.5664	LR: 0.020000
Training Epoch: 21 [9472/48700]	Loss: 0.5619	LR: 0.020000
Training Epoch: 21 [9728/48700]	Loss: 0.5616	LR: 0.020000
Training Epoch: 21 [9984/48700]	Loss: 0.6824	LR: 0.020000
Training Epoch: 21 [10240/48700]	Loss: 0.7804	LR: 0.020000
Training Epoch: 21 [10496/48700]	Loss: 0.5537	LR: 0.020000
Training Epoch: 21 [10752/48700]	Loss: 0.6109	LR: 0.020000
Training Epoch: 21 [11008/48700]	Loss: 0.6301	LR: 0.020000
Training Epoch: 21 [11264/48700]	Loss: 0.5838	LR: 0.020000
Training Epoch: 21 [11520/48700]	Loss: 0.6083	LR: 0.020000
Training Epoch: 21 [11776/48700]	Loss: 0.6135	LR: 0.020000
Training Epoch: 21 [12032/48700]	Loss: 0.6850	LR: 0.020000
Training Epoch: 21 [12288/48700]	Loss: 0.5393	LR: 0.020000
Training Epoch: 21 [12544/48700]	Loss: 0.5558	LR: 0.020000
Training Epoch: 21 [12800/48700]	Loss: 0.5921	LR: 0.020000
Training Epoch: 21 [13056/48700]	Loss: 0.5892	LR: 0.020000
Training Epoch: 21 [13312/48700]	Loss: 0.7686	LR: 0.020000
Training Epoch: 21 [13568/48700]	Loss: 0.5561	LR: 0.020000
Training Epoch: 21 [13824/48700]	Loss: 0.6881	LR: 0.020000
Training Epoch: 21 [14080/48700]	Loss: 0.5277	LR: 0.020000
Training Epoch: 21 [14336/48700]	Loss: 0.4960	LR: 0.020000
Training Epoch: 21 [14592/48700]	Loss: 0.5264	LR: 0.020000
Training Epoch: 21 [14848/48700]	Loss: 0.5850	LR: 0.020000
Training Epoch: 21 [15104/48700]	Loss: 0.5799	LR: 0.020000
Training Epoch: 21 [15360/48700]	Loss: 0.5955	LR: 0.020000
Training Epoch: 21 [15616/48700]	Loss: 0.5784	LR: 0.020000
Training Epoch: 21 [15872/48700]	Loss: 0.7132	LR: 0.020000
Training Epoch: 21 [16128/48700]	Loss: 0.6733	LR: 0.020000
Training Epoch: 21 [16384/48700]	Loss: 0.6072	LR: 0.020000
Training Epoch: 21 [16640/48700]	Loss: 0.5696	LR: 0.020000
Training Epoch: 21 [16896/48700]	Loss: 0.6073	LR: 0.020000
Training Epoch: 21 [17152/48700]	Loss: 0.5608	LR: 0.020000
Training Epoch: 21 [17408/48700]	Loss: 0.5571	LR: 0.020000
Training Epoch: 21 [17664/48700]	Loss: 0.6058	LR: 0.020000
Training Epoch: 21 [17920/48700]	Loss: 0.4925	LR: 0.020000
Training Epoch: 21 [18176/48700]	Loss: 0.5058	LR: 0.020000
Training Epoch: 21 [18432/48700]	Loss: 0.5690	LR: 0.020000
Training Epoch: 21 [18688/48700]	Loss: 0.6610	LR: 0.020000
Training Epoch: 21 [18944/48700]	Loss: 0.5688	LR: 0.020000
Training Epoch: 21 [19200/48700]	Loss: 0.6366	LR: 0.020000
Training Epoch: 21 [19456/48700]	Loss: 0.5759	LR: 0.020000
Training Epoch: 21 [19712/48700]	Loss: 0.6960	LR: 0.020000
Training Epoch: 21 [19968/48700]	Loss: 0.5324	LR: 0.020000
Training Epoch: 21 [20224/48700]	Loss: 0.6090	LR: 0.020000
Training Epoch: 21 [20480/48700]	Loss: 0.5226	LR: 0.020000
Training Epoch: 21 [20736/48700]	Loss: 0.6038	LR: 0.020000
Training Epoch: 21 [20992/48700]	Loss: 0.6271	LR: 0.020000
Training Epoch: 21 [21248/48700]	Loss: 0.6017	LR: 0.020000
Training Epoch: 21 [21504/48700]	Loss: 0.6230	LR: 0.020000
Training Epoch: 21 [21760/48700]	Loss: 0.5648	LR: 0.020000
Training Epoch: 21 [22016/48700]	Loss: 0.5643	LR: 0.020000
Training Epoch: 21 [22272/48700]	Loss: 0.5972	LR: 0.020000
Training Epoch: 21 [22528/48700]	Loss: 0.5084	LR: 0.020000
Training Epoch: 21 [22784/48700]	Loss: 0.5299	LR: 0.020000
Training Epoch: 21 [23040/48700]	Loss: 0.6767	LR: 0.020000
Training Epoch: 21 [23296/48700]	Loss: 0.5821	LR: 0.020000
Training Epoch: 21 [23552/48700]	Loss: 0.5549	LR: 0.020000
Training Epoch: 21 [23808/48700]	Loss: 0.6285	LR: 0.020000
Training Epoch: 21 [24064/48700]	Loss: 0.4645	LR: 0.020000
Training Epoch: 21 [24320/48700]	Loss: 0.5829	LR: 0.020000
Training Epoch: 21 [24576/48700]	Loss: 0.5808	LR: 0.020000
Training Epoch: 21 [24832/48700]	Loss: 0.5851	LR: 0.020000
Training Epoch: 21 [25088/48700]	Loss: 0.6577	LR: 0.020000
Training Epoch: 21 [25344/48700]	Loss: 0.7402	LR: 0.020000
Training Epoch: 21 [25600/48700]	Loss: 0.5355	LR: 0.020000
Training Epoch: 21 [25856/48700]	Loss: 0.6181	LR: 0.020000
Training Epoch: 21 [26112/48700]	Loss: 0.7547	LR: 0.020000
Training Epoch: 21 [26368/48700]	Loss: 0.5152	LR: 0.020000
Training Epoch: 21 [26624/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 21 [26880/48700]	Loss: 0.6515	LR: 0.020000
Training Epoch: 21 [27136/48700]	Loss: 0.5056	LR: 0.020000
Training Epoch: 21 [27392/48700]	Loss: 0.5948	LR: 0.020000
Training Epoch: 21 [27648/48700]	Loss: 0.5387	LR: 0.020000
Training Epoch: 21 [27904/48700]	Loss: 0.6304	LR: 0.020000
Training Epoch: 21 [28160/48700]	Loss: 0.6633	LR: 0.020000
Training Epoch: 21 [28416/48700]	Loss: 0.5805	LR: 0.020000
Training Epoch: 21 [28672/48700]	Loss: 0.5016	LR: 0.020000
Training Epoch: 21 [28928/48700]	Loss: 0.6867	LR: 0.020000
Training Epoch: 21 [29184/48700]	Loss: 0.5548	LR: 0.020000
Training Epoch: 21 [29440/48700]	Loss: 0.6506	LR: 0.020000
Training Epoch: 21 [29696/48700]	Loss: 0.6068	LR: 0.020000
Training Epoch: 21 [29952/48700]	Loss: 0.6255	LR: 0.020000
Training Epoch: 21 [30208/48700]	Loss: 0.6274	LR: 0.020000
Training Epoch: 21 [30464/48700]	Loss: 0.6052	LR: 0.020000
Training Epoch: 21 [30720/48700]	Loss: 0.5179	LR: 0.020000
Training Epoch: 21 [30976/48700]	Loss: 0.4691	LR: 0.020000
Training Epoch: 21 [31232/48700]	Loss: 0.6483	LR: 0.020000
Training Epoch: 21 [31488/48700]	Loss: 0.6916	LR: 0.020000
Training Epoch: 21 [31744/48700]	Loss: 0.7489	LR: 0.020000
Training Epoch: 21 [32000/48700]	Loss: 0.6840	LR: 0.020000
Training Epoch: 21 [32256/48700]	Loss: 0.5490	LR: 0.020000
Training Epoch: 21 [32512/48700]	Loss: 0.5959	LR: 0.020000
Training Epoch: 21 [32768/48700]	Loss: 0.5955	LR: 0.020000
Training Epoch: 21 [33024/48700]	Loss: 0.7642	LR: 0.020000
Training Epoch: 21 [33280/48700]	Loss: 0.6049	LR: 0.020000
Training Epoch: 21 [33536/48700]	Loss: 0.5706	LR: 0.020000
Training Epoch: 21 [33792/48700]	Loss: 0.7149	LR: 0.020000
Training Epoch: 21 [34048/48700]	Loss: 0.5335	LR: 0.020000
Training Epoch: 21 [34304/48700]	Loss: 0.6569	LR: 0.020000
Training Epoch: 21 [34560/48700]	Loss: 0.6537	LR: 0.020000
Training Epoch: 21 [34816/48700]	Loss: 0.6563	LR: 0.020000
Training Epoch: 21 [35072/48700]	Loss: 0.6506	LR: 0.020000
Training Epoch: 21 [35328/48700]	Loss: 0.5838	LR: 0.020000
Training Epoch: 21 [35584/48700]	Loss: 0.6497	LR: 0.020000
Training Epoch: 21 [35840/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 21 [36096/48700]	Loss: 0.5510	LR: 0.020000
Training Epoch: 21 [36352/48700]	Loss: 0.5508	LR: 0.020000
Training Epoch: 21 [36608/48700]	Loss: 0.5788	LR: 0.020000
Training Epoch: 21 [36864/48700]	Loss: 0.5919	LR: 0.020000
Training Epoch: 21 [37120/48700]	Loss: 0.5397	LR: 0.020000
Training Epoch: 21 [37376/48700]	Loss: 0.5223	LR: 0.020000
Training Epoch: 21 [37632/48700]	Loss: 0.5894	LR: 0.020000
Training Epoch: 21 [37888/48700]	Loss: 0.5609	LR: 0.020000
Training Epoch: 21 [38144/48700]	Loss: 0.5966	LR: 0.020000
Training Epoch: 21 [38400/48700]	Loss: 0.6529	LR: 0.020000
Training Epoch: 21 [38656/48700]	Loss: 0.6615	LR: 0.020000
Training Epoch: 21 [38912/48700]	Loss: 0.5947	LR: 0.020000
Training Epoch: 21 [39168/48700]	Loss: 0.5845	LR: 0.020000
Training Epoch: 21 [39424/48700]	Loss: 0.6329	LR: 0.020000
Training Epoch: 21 [39680/48700]	Loss: 0.6103	LR: 0.020000
Training Epoch: 21 [39936/48700]	Loss: 0.5543	LR: 0.020000
Training Epoch: 21 [40192/48700]	Loss: 0.6543	LR: 0.020000
Training Epoch: 21 [40448/48700]	Loss: 0.5553	LR: 0.020000
Training Epoch: 21 [40704/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 21 [40960/48700]	Loss: 0.5907	LR: 0.020000
Training Epoch: 21 [41216/48700]	Loss: 0.6460	LR: 0.020000
Training Epoch: 21 [41472/48700]	Loss: 0.4998	LR: 0.020000
Training Epoch: 21 [41728/48700]	Loss: 0.6686	LR: 0.020000
Training Epoch: 21 [41984/48700]	Loss: 0.6339	LR: 0.020000
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Training Epoch: 21 [46848/48700]	Loss: 0.5522	LR: 0.020000
Training Epoch: 21 [47104/48700]	Loss: 0.5926	LR: 0.020000
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Training Epoch: 21 [47616/48700]	Loss: 0.6330	LR: 0.020000
Training Epoch: 21 [47872/48700]	Loss: 0.5519	LR: 0.020000
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Training Epoch: 21 [48640/48700]	Loss: 0.6191	LR: 0.020000
Training Epoch: 21 [48700/48700]	Loss: 0.5135	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5960, Train Accuracy: 0.8071
Epoch 21 training time consumed: 26.77s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0037, Accuracy: 0.7254, Time consumed:0.89s
Training Epoch: 22 [256/48700]	Loss: 0.5229	LR: 0.020000
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Training Epoch: 22 [48128/48700]	Loss: 0.5622	LR: 0.020000
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Training Epoch: 22 [48700/48700]	Loss: 0.6364	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5859, Train Accuracy: 0.8114
Epoch 22 training time consumed: 26.80s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0033, Accuracy: 0.7502, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-22-best.pth
Training Epoch: 23 [256/48700]	Loss: 0.6025	LR: 0.020000
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Training Epoch: 23 [16384/48700]	Loss: 0.5780	LR: 0.020000
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Training Epoch: 23 [16896/48700]	Loss: 0.5290	LR: 0.020000
Training Epoch: 23 [17152/48700]	Loss: 0.6352	LR: 0.020000
Training Epoch: 23 [17408/48700]	Loss: 0.6180	LR: 0.020000
Training Epoch: 23 [17664/48700]	Loss: 0.5351	LR: 0.020000
Training Epoch: 23 [17920/48700]	Loss: 0.6135	LR: 0.020000
Training Epoch: 23 [18176/48700]	Loss: 0.5601	LR: 0.020000
Training Epoch: 23 [18432/48700]	Loss: 0.5443	LR: 0.020000
Training Epoch: 23 [18688/48700]	Loss: 0.6870	LR: 0.020000
Training Epoch: 23 [18944/48700]	Loss: 0.5626	LR: 0.020000
Training Epoch: 23 [19200/48700]	Loss: 0.6018	LR: 0.020000
Training Epoch: 23 [19456/48700]	Loss: 0.5581	LR: 0.020000
Training Epoch: 23 [19712/48700]	Loss: 0.5943	LR: 0.020000
Training Epoch: 23 [19968/48700]	Loss: 0.5435	LR: 0.020000
Training Epoch: 23 [20224/48700]	Loss: 0.5826	LR: 0.020000
Training Epoch: 23 [20480/48700]	Loss: 0.5833	LR: 0.020000
Training Epoch: 23 [20736/48700]	Loss: 0.6507	LR: 0.020000
Training Epoch: 23 [20992/48700]	Loss: 0.5670	LR: 0.020000
Training Epoch: 23 [21248/48700]	Loss: 0.5065	LR: 0.020000
Training Epoch: 23 [21504/48700]	Loss: 0.5146	LR: 0.020000
Training Epoch: 23 [21760/48700]	Loss: 0.6241	LR: 0.020000
Training Epoch: 23 [22016/48700]	Loss: 0.5856	LR: 0.020000
Training Epoch: 23 [22272/48700]	Loss: 0.5067	LR: 0.020000
Training Epoch: 23 [22528/48700]	Loss: 0.5864	LR: 0.020000
Training Epoch: 23 [22784/48700]	Loss: 0.5895	LR: 0.020000
Training Epoch: 23 [23040/48700]	Loss: 0.6117	LR: 0.020000
Training Epoch: 23 [23296/48700]	Loss: 0.5464	LR: 0.020000
Training Epoch: 23 [23552/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 23 [23808/48700]	Loss: 0.5001	LR: 0.020000
Training Epoch: 23 [24064/48700]	Loss: 0.5368	LR: 0.020000
Training Epoch: 23 [24320/48700]	Loss: 0.5981	LR: 0.020000
Training Epoch: 23 [24576/48700]	Loss: 0.5584	LR: 0.020000
Training Epoch: 23 [24832/48700]	Loss: 0.5754	LR: 0.020000
Training Epoch: 23 [25088/48700]	Loss: 0.4864	LR: 0.020000
Training Epoch: 23 [25344/48700]	Loss: 0.6556	LR: 0.020000
Training Epoch: 23 [25600/48700]	Loss: 0.4887	LR: 0.020000
Training Epoch: 23 [25856/48700]	Loss: 0.6658	LR: 0.020000
Training Epoch: 23 [26112/48700]	Loss: 0.5691	LR: 0.020000
Training Epoch: 23 [26368/48700]	Loss: 0.5280	LR: 0.020000
Training Epoch: 23 [26624/48700]	Loss: 0.6700	LR: 0.020000
Training Epoch: 23 [26880/48700]	Loss: 0.5713	LR: 0.020000
Training Epoch: 23 [27136/48700]	Loss: 0.5821	LR: 0.020000
Training Epoch: 23 [27392/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 23 [27648/48700]	Loss: 0.5861	LR: 0.020000
Training Epoch: 23 [27904/48700]	Loss: 0.6119	LR: 0.020000
Training Epoch: 23 [28160/48700]	Loss: 0.5119	LR: 0.020000
Training Epoch: 23 [28416/48700]	Loss: 0.6264	LR: 0.020000
Training Epoch: 23 [28672/48700]	Loss: 0.6364	LR: 0.020000
Training Epoch: 23 [28928/48700]	Loss: 0.6659	LR: 0.020000
Training Epoch: 23 [29184/48700]	Loss: 0.5506	LR: 0.020000
Training Epoch: 23 [29440/48700]	Loss: 0.6721	LR: 0.020000
Training Epoch: 23 [29696/48700]	Loss: 0.5514	LR: 0.020000
Training Epoch: 23 [29952/48700]	Loss: 0.5387	LR: 0.020000
Training Epoch: 23 [30208/48700]	Loss: 0.5417	LR: 0.020000
Training Epoch: 23 [30464/48700]	Loss: 0.6104	LR: 0.020000
Training Epoch: 23 [30720/48700]	Loss: 0.6445	LR: 0.020000
Training Epoch: 23 [30976/48700]	Loss: 0.6786	LR: 0.020000
Training Epoch: 23 [31232/48700]	Loss: 0.7105	LR: 0.020000
Training Epoch: 23 [31488/48700]	Loss: 0.5748	LR: 0.020000
Training Epoch: 23 [31744/48700]	Loss: 0.6463	LR: 0.020000
Training Epoch: 23 [32000/48700]	Loss: 0.6148	LR: 0.020000
Training Epoch: 23 [32256/48700]	Loss: 0.5407	LR: 0.020000
Training Epoch: 23 [32512/48700]	Loss: 0.6255	LR: 0.020000
Training Epoch: 23 [32768/48700]	Loss: 0.5932	LR: 0.020000
Training Epoch: 23 [33024/48700]	Loss: 0.6179	LR: 0.020000
Training Epoch: 23 [33280/48700]	Loss: 0.6083	LR: 0.020000
Training Epoch: 23 [33536/48700]	Loss: 0.5388	LR: 0.020000
Training Epoch: 23 [33792/48700]	Loss: 0.5591	LR: 0.020000
Training Epoch: 23 [34048/48700]	Loss: 0.5471	LR: 0.020000
Training Epoch: 23 [34304/48700]	Loss: 0.5575	LR: 0.020000
Training Epoch: 23 [34560/48700]	Loss: 0.5068	LR: 0.020000
Training Epoch: 23 [34816/48700]	Loss: 0.5957	LR: 0.020000
Training Epoch: 23 [35072/48700]	Loss: 0.5466	LR: 0.020000
Training Epoch: 23 [35328/48700]	Loss: 0.6137	LR: 0.020000
Training Epoch: 23 [35584/48700]	Loss: 0.5639	LR: 0.020000
Training Epoch: 23 [35840/48700]	Loss: 0.5902	LR: 0.020000
Training Epoch: 23 [36096/48700]	Loss: 0.5655	LR: 0.020000
Training Epoch: 23 [36352/48700]	Loss: 0.6600	LR: 0.020000
Training Epoch: 23 [36608/48700]	Loss: 0.5303	LR: 0.020000
Training Epoch: 23 [36864/48700]	Loss: 0.5991	LR: 0.020000
Training Epoch: 23 [37120/48700]	Loss: 0.6681	LR: 0.020000
Training Epoch: 23 [37376/48700]	Loss: 0.4899	LR: 0.020000
Training Epoch: 23 [37632/48700]	Loss: 0.5606	LR: 0.020000
Training Epoch: 23 [37888/48700]	Loss: 0.5455	LR: 0.020000
Training Epoch: 23 [38144/48700]	Loss: 0.5547	LR: 0.020000
Training Epoch: 23 [38400/48700]	Loss: 0.5803	LR: 0.020000
Training Epoch: 23 [38656/48700]	Loss: 0.6024	LR: 0.020000
Training Epoch: 23 [38912/48700]	Loss: 0.5037	LR: 0.020000
Training Epoch: 23 [39168/48700]	Loss: 0.6295	LR: 0.020000
Training Epoch: 23 [39424/48700]	Loss: 0.5804	LR: 0.020000
Training Epoch: 23 [39680/48700]	Loss: 0.4717	LR: 0.020000
Training Epoch: 23 [39936/48700]	Loss: 0.5777	LR: 0.020000
Training Epoch: 23 [40192/48700]	Loss: 0.6171	LR: 0.020000
Training Epoch: 23 [40448/48700]	Loss: 0.6303	LR: 0.020000
Training Epoch: 23 [40704/48700]	Loss: 0.6030	LR: 0.020000
Training Epoch: 23 [40960/48700]	Loss: 0.6495	LR: 0.020000
Training Epoch: 23 [41216/48700]	Loss: 0.5594	LR: 0.020000
Training Epoch: 23 [41472/48700]	Loss: 0.5651	LR: 0.020000
Training Epoch: 23 [41728/48700]	Loss: 0.5378	LR: 0.020000
Training Epoch: 23 [41984/48700]	Loss: 0.5446	LR: 0.020000
Training Epoch: 23 [42240/48700]	Loss: 0.5888	LR: 0.020000
Training Epoch: 23 [42496/48700]	Loss: 0.5358	LR: 0.020000
Training Epoch: 23 [42752/48700]	Loss: 0.5547	LR: 0.020000
Training Epoch: 23 [43008/48700]	Loss: 0.5450	LR: 0.020000
Training Epoch: 23 [43264/48700]	Loss: 0.6240	LR: 0.020000
Training Epoch: 23 [43520/48700]	Loss: 0.5622	LR: 0.020000
Training Epoch: 23 [43776/48700]	Loss: 0.4326	LR: 0.020000
Training Epoch: 23 [44032/48700]	Loss: 0.6309	LR: 0.020000
Training Epoch: 23 [44288/48700]	Loss: 0.5274	LR: 0.020000
Training Epoch: 23 [44544/48700]	Loss: 0.6071	LR: 0.020000
Training Epoch: 23 [44800/48700]	Loss: 0.6309	LR: 0.020000
Training Epoch: 23 [45056/48700]	Loss: 0.5437	LR: 0.020000
Training Epoch: 23 [45312/48700]	Loss: 0.6026	LR: 0.020000
Training Epoch: 23 [45568/48700]	Loss: 0.5919	LR: 0.020000
Training Epoch: 23 [45824/48700]	Loss: 0.6773	LR: 0.020000
Training Epoch: 23 [46080/48700]	Loss: 0.7513	LR: 0.020000
Training Epoch: 23 [46336/48700]	Loss: 0.5343	LR: 0.020000
Training Epoch: 23 [46592/48700]	Loss: 0.5739	LR: 0.020000
Training Epoch: 23 [46848/48700]	Loss: 0.4629	LR: 0.020000
Training Epoch: 23 [47104/48700]	Loss: 0.6395	LR: 0.020000
Training Epoch: 23 [47360/48700]	Loss: 0.6575	LR: 0.020000
Training Epoch: 23 [47616/48700]	Loss: 0.5505	LR: 0.020000
Training Epoch: 23 [47872/48700]	Loss: 0.6486	LR: 0.020000
Training Epoch: 23 [48128/48700]	Loss: 0.6138	LR: 0.020000
Training Epoch: 23 [48384/48700]	Loss: 0.5238	LR: 0.020000
Training Epoch: 23 [48640/48700]	Loss: 0.5528	LR: 0.020000
Training Epoch: 23 [48700/48700]	Loss: 0.6047	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5750, Train Accuracy: 0.8141
Epoch 23 training time consumed: 26.69s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0036, Accuracy: 0.7379, Time consumed:0.98s
Training Epoch: 24 [256/48700]	Loss: 0.5096	LR: 0.020000
Training Epoch: 24 [512/48700]	Loss: 0.5742	LR: 0.020000
Training Epoch: 24 [768/48700]	Loss: 0.5837	LR: 0.020000
Training Epoch: 24 [1024/48700]	Loss: 0.5916	LR: 0.020000
Training Epoch: 24 [1280/48700]	Loss: 0.5174	LR: 0.020000
Training Epoch: 24 [1536/48700]	Loss: 0.5925	LR: 0.020000
Training Epoch: 24 [1792/48700]	Loss: 0.4980	LR: 0.020000
Training Epoch: 24 [2048/48700]	Loss: 0.4752	LR: 0.020000
Training Epoch: 24 [2304/48700]	Loss: 0.7080	LR: 0.020000
Training Epoch: 24 [2560/48700]	Loss: 0.6011	LR: 0.020000
Training Epoch: 24 [2816/48700]	Loss: 0.5924	LR: 0.020000
Training Epoch: 24 [3072/48700]	Loss: 0.5973	LR: 0.020000
Training Epoch: 24 [3328/48700]	Loss: 0.6125	LR: 0.020000
Training Epoch: 24 [3584/48700]	Loss: 0.5570	LR: 0.020000
Training Epoch: 24 [3840/48700]	Loss: 0.6890	LR: 0.020000
Training Epoch: 24 [4096/48700]	Loss: 0.7014	LR: 0.020000
Training Epoch: 24 [4352/48700]	Loss: 0.5132	LR: 0.020000
Training Epoch: 24 [4608/48700]	Loss: 0.5021	LR: 0.020000
Training Epoch: 24 [4864/48700]	Loss: 0.5099	LR: 0.020000
Training Epoch: 24 [5120/48700]	Loss: 0.5493	LR: 0.020000
Training Epoch: 24 [5376/48700]	Loss: 0.5716	LR: 0.020000
Training Epoch: 24 [5632/48700]	Loss: 0.4743	LR: 0.020000
Training Epoch: 24 [5888/48700]	Loss: 0.5511	LR: 0.020000
Training Epoch: 24 [6144/48700]	Loss: 0.6011	LR: 0.020000
Training Epoch: 24 [6400/48700]	Loss: 0.5365	LR: 0.020000
Training Epoch: 24 [6656/48700]	Loss: 0.5452	LR: 0.020000
Training Epoch: 24 [6912/48700]	Loss: 0.5209	LR: 0.020000
Training Epoch: 24 [7168/48700]	Loss: 0.4737	LR: 0.020000
Training Epoch: 24 [7424/48700]	Loss: 0.5323	LR: 0.020000
Training Epoch: 24 [7680/48700]	Loss: 0.6410	LR: 0.020000
Training Epoch: 24 [7936/48700]	Loss: 0.5637	LR: 0.020000
Training Epoch: 24 [8192/48700]	Loss: 0.5727	LR: 0.020000
Training Epoch: 24 [8448/48700]	Loss: 0.6680	LR: 0.020000
Training Epoch: 24 [8704/48700]	Loss: 0.6283	LR: 0.020000
Training Epoch: 24 [8960/48700]	Loss: 0.5643	LR: 0.020000
Training Epoch: 24 [9216/48700]	Loss: 0.5456	LR: 0.020000
Training Epoch: 24 [9472/48700]	Loss: 0.4297	LR: 0.020000
Training Epoch: 24 [9728/48700]	Loss: 0.5055	LR: 0.020000
Training Epoch: 24 [9984/48700]	Loss: 0.5935	LR: 0.020000
Training Epoch: 24 [10240/48700]	Loss: 0.5413	LR: 0.020000
Training Epoch: 24 [10496/48700]	Loss: 0.6031	LR: 0.020000
Training Epoch: 24 [10752/48700]	Loss: 0.6399	LR: 0.020000
Training Epoch: 24 [11008/48700]	Loss: 0.5626	LR: 0.020000
Training Epoch: 24 [11264/48700]	Loss: 0.5916	LR: 0.020000
Training Epoch: 24 [11520/48700]	Loss: 0.4990	LR: 0.020000
Training Epoch: 24 [11776/48700]	Loss: 0.5947	LR: 0.020000
Training Epoch: 24 [12032/48700]	Loss: 0.6807	LR: 0.020000
Training Epoch: 24 [12288/48700]	Loss: 0.5804	LR: 0.020000
Training Epoch: 24 [12544/48700]	Loss: 0.4507	LR: 0.020000
Training Epoch: 24 [12800/48700]	Loss: 0.5814	LR: 0.020000
Training Epoch: 24 [13056/48700]	Loss: 0.6352	LR: 0.020000
Training Epoch: 24 [13312/48700]	Loss: 0.7020	LR: 0.020000
Training Epoch: 24 [13568/48700]	Loss: 0.5168	LR: 0.020000
Training Epoch: 24 [13824/48700]	Loss: 0.5105	LR: 0.020000
Training Epoch: 24 [14080/48700]	Loss: 0.4809	LR: 0.020000
Training Epoch: 24 [14336/48700]	Loss: 0.5575	LR: 0.020000
Training Epoch: 24 [14592/48700]	Loss: 0.5983	LR: 0.020000
Training Epoch: 24 [14848/48700]	Loss: 0.4962	LR: 0.020000
Training Epoch: 24 [15104/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 24 [15360/48700]	Loss: 0.6146	LR: 0.020000
Training Epoch: 24 [15616/48700]	Loss: 0.6281	LR: 0.020000
Training Epoch: 24 [15872/48700]	Loss: 0.5546	LR: 0.020000
Training Epoch: 24 [16128/48700]	Loss: 0.5250	LR: 0.020000
Training Epoch: 24 [16384/48700]	Loss: 0.4546	LR: 0.020000
Training Epoch: 24 [16640/48700]	Loss: 0.5209	LR: 0.020000
Training Epoch: 24 [16896/48700]	Loss: 0.5888	LR: 0.020000
Training Epoch: 24 [17152/48700]	Loss: 0.6811	LR: 0.020000
Training Epoch: 24 [17408/48700]	Loss: 0.5081	LR: 0.020000
Training Epoch: 24 [17664/48700]	Loss: 0.6999	LR: 0.020000
Training Epoch: 24 [17920/48700]	Loss: 0.5789	LR: 0.020000
Training Epoch: 24 [18176/48700]	Loss: 0.5661	LR: 0.020000
Training Epoch: 24 [18432/48700]	Loss: 0.5183	LR: 0.020000
Training Epoch: 24 [18688/48700]	Loss: 0.5305	LR: 0.020000
Training Epoch: 24 [18944/48700]	Loss: 0.5968	LR: 0.020000
Training Epoch: 24 [19200/48700]	Loss: 0.4968	LR: 0.020000
Training Epoch: 24 [19456/48700]	Loss: 0.5776	LR: 0.020000
Training Epoch: 24 [19712/48700]	Loss: 0.5758	LR: 0.020000
Training Epoch: 24 [19968/48700]	Loss: 0.6393	LR: 0.020000
Training Epoch: 24 [20224/48700]	Loss: 0.5491	LR: 0.020000
Training Epoch: 24 [20480/48700]	Loss: 0.4726	LR: 0.020000
Training Epoch: 24 [20736/48700]	Loss: 0.5675	LR: 0.020000
Training Epoch: 24 [20992/48700]	Loss: 0.6093	LR: 0.020000
Training Epoch: 24 [21248/48700]	Loss: 0.5860	LR: 0.020000
Training Epoch: 24 [21504/48700]	Loss: 0.5131	LR: 0.020000
Training Epoch: 24 [21760/48700]	Loss: 0.5852	LR: 0.020000
Training Epoch: 24 [22016/48700]	Loss: 0.5431	LR: 0.020000
Training Epoch: 24 [22272/48700]	Loss: 0.5809	LR: 0.020000
Training Epoch: 24 [22528/48700]	Loss: 0.5356	LR: 0.020000
Training Epoch: 24 [22784/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 24 [23040/48700]	Loss: 0.6606	LR: 0.020000
Training Epoch: 24 [23296/48700]	Loss: 0.5713	LR: 0.020000
Training Epoch: 24 [23552/48700]	Loss: 0.5674	LR: 0.020000
Training Epoch: 24 [23808/48700]	Loss: 0.6382	LR: 0.020000
Training Epoch: 24 [24064/48700]	Loss: 0.6302	LR: 0.020000
Training Epoch: 24 [24320/48700]	Loss: 0.5802	LR: 0.020000
Training Epoch: 24 [24576/48700]	Loss: 0.5070	LR: 0.020000
Training Epoch: 24 [24832/48700]	Loss: 0.5497	LR: 0.020000
Training Epoch: 24 [25088/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 24 [25344/48700]	Loss: 0.5997	LR: 0.020000
Training Epoch: 24 [25600/48700]	Loss: 0.4806	LR: 0.020000
Training Epoch: 24 [25856/48700]	Loss: 0.6652	LR: 0.020000
Training Epoch: 24 [26112/48700]	Loss: 0.6319	LR: 0.020000
Training Epoch: 24 [26368/48700]	Loss: 0.6961	LR: 0.020000
Training Epoch: 24 [26624/48700]	Loss: 0.5503	LR: 0.020000
Training Epoch: 24 [26880/48700]	Loss: 0.6151	LR: 0.020000
Training Epoch: 24 [27136/48700]	Loss: 0.4647	LR: 0.020000
Training Epoch: 24 [27392/48700]	Loss: 0.5276	LR: 0.020000
Training Epoch: 24 [27648/48700]	Loss: 0.5205	LR: 0.020000
Training Epoch: 24 [27904/48700]	Loss: 0.6856	LR: 0.020000
Training Epoch: 24 [28160/48700]	Loss: 0.5644	LR: 0.020000
Training Epoch: 24 [28416/48700]	Loss: 0.5745	LR: 0.020000
Training Epoch: 24 [28672/48700]	Loss: 0.4961	LR: 0.020000
Training Epoch: 24 [28928/48700]	Loss: 0.5112	LR: 0.020000
Training Epoch: 24 [29184/48700]	Loss: 0.6023	LR: 0.020000
Training Epoch: 24 [29440/48700]	Loss: 0.5464	LR: 0.020000
Training Epoch: 24 [29696/48700]	Loss: 0.5412	LR: 0.020000
Training Epoch: 24 [29952/48700]	Loss: 0.5768	LR: 0.020000
Training Epoch: 24 [30208/48700]	Loss: 0.5042	LR: 0.020000
Training Epoch: 24 [30464/48700]	Loss: 0.5268	LR: 0.020000
Training Epoch: 24 [30720/48700]	Loss: 0.5618	LR: 0.020000
Training Epoch: 24 [30976/48700]	Loss: 0.5613	LR: 0.020000
Training Epoch: 24 [31232/48700]	Loss: 0.6368	LR: 0.020000
Training Epoch: 24 [31488/48700]	Loss: 0.5795	LR: 0.020000
Training Epoch: 24 [31744/48700]	Loss: 0.5905	LR: 0.020000
Training Epoch: 24 [32000/48700]	Loss: 0.4975	LR: 0.020000
Training Epoch: 24 [32256/48700]	Loss: 0.5902	LR: 0.020000
Training Epoch: 24 [32512/48700]	Loss: 0.6600	LR: 0.020000
Training Epoch: 24 [32768/48700]	Loss: 0.4841	LR: 0.020000
Training Epoch: 24 [33024/48700]	Loss: 0.5000	LR: 0.020000
Training Epoch: 24 [33280/48700]	Loss: 0.5825	LR: 0.020000
Training Epoch: 24 [33536/48700]	Loss: 0.6915	LR: 0.020000
Training Epoch: 24 [33792/48700]	Loss: 0.5058	LR: 0.020000
Training Epoch: 24 [34048/48700]	Loss: 0.5268	LR: 0.020000
Training Epoch: 24 [34304/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 24 [34560/48700]	Loss: 0.6050	LR: 0.020000
Training Epoch: 24 [34816/48700]	Loss: 0.5349	LR: 0.020000
Training Epoch: 24 [35072/48700]	Loss: 0.6059	LR: 0.020000
Training Epoch: 24 [35328/48700]	Loss: 0.5906	LR: 0.020000
Training Epoch: 24 [35584/48700]	Loss: 0.5053	LR: 0.020000
Training Epoch: 24 [35840/48700]	Loss: 0.5583	LR: 0.020000
Training Epoch: 24 [36096/48700]	Loss: 0.5781	LR: 0.020000
Training Epoch: 24 [36352/48700]	Loss: 0.5161	LR: 0.020000
Training Epoch: 24 [36608/48700]	Loss: 0.5401	LR: 0.020000
Training Epoch: 24 [36864/48700]	Loss: 0.5472	LR: 0.020000
Training Epoch: 24 [37120/48700]	Loss: 0.5539	LR: 0.020000
Training Epoch: 24 [37376/48700]	Loss: 0.5892	LR: 0.020000
Training Epoch: 24 [37632/48700]	Loss: 0.4911	LR: 0.020000
Training Epoch: 24 [37888/48700]	Loss: 0.5944	LR: 0.020000
Training Epoch: 24 [38144/48700]	Loss: 0.6217	LR: 0.020000
Training Epoch: 24 [38400/48700]	Loss: 0.6593	LR: 0.020000
Training Epoch: 24 [38656/48700]	Loss: 0.5231	LR: 0.020000
Training Epoch: 24 [38912/48700]	Loss: 0.5005	LR: 0.020000
Training Epoch: 24 [39168/48700]	Loss: 0.5714	LR: 0.020000
Training Epoch: 24 [39424/48700]	Loss: 0.6144	LR: 0.020000
Training Epoch: 24 [39680/48700]	Loss: 0.5079	LR: 0.020000
Training Epoch: 24 [39936/48700]	Loss: 0.4427	LR: 0.020000
Training Epoch: 24 [40192/48700]	Loss: 0.6426	LR: 0.020000
Training Epoch: 24 [40448/48700]	Loss: 0.5062	LR: 0.020000
Training Epoch: 24 [40704/48700]	Loss: 0.5857	LR: 0.020000
Training Epoch: 24 [40960/48700]	Loss: 0.5788	LR: 0.020000
Training Epoch: 24 [41216/48700]	Loss: 0.5425	LR: 0.020000
Training Epoch: 24 [41472/48700]	Loss: 0.6476	LR: 0.020000
Training Epoch: 24 [41728/48700]	Loss: 0.6485	LR: 0.020000
Training Epoch: 24 [41984/48700]	Loss: 0.5225	LR: 0.020000
Training Epoch: 24 [42240/48700]	Loss: 0.6421	LR: 0.020000
Training Epoch: 24 [42496/48700]	Loss: 0.6298	LR: 0.020000
Training Epoch: 24 [42752/48700]	Loss: 0.6514	LR: 0.020000
Training Epoch: 24 [43008/48700]	Loss: 0.5838	LR: 0.020000
Training Epoch: 24 [43264/48700]	Loss: 0.6985	LR: 0.020000
Training Epoch: 24 [43520/48700]	Loss: 0.5782	LR: 0.020000
Training Epoch: 24 [43776/48700]	Loss: 0.5637	LR: 0.020000
Training Epoch: 24 [44032/48700]	Loss: 0.6604	LR: 0.020000
Training Epoch: 24 [44288/48700]	Loss: 0.6054	LR: 0.020000
Training Epoch: 24 [44544/48700]	Loss: 0.5810	LR: 0.020000
Training Epoch: 24 [44800/48700]	Loss: 0.5548	LR: 0.020000
Training Epoch: 24 [45056/48700]	Loss: 0.6123	LR: 0.020000
Training Epoch: 24 [45312/48700]	Loss: 0.5795	LR: 0.020000
Training Epoch: 24 [45568/48700]	Loss: 0.4890	LR: 0.020000
Training Epoch: 24 [45824/48700]	Loss: 0.6450	LR: 0.020000
Training Epoch: 24 [46080/48700]	Loss: 0.5031	LR: 0.020000
Training Epoch: 24 [46336/48700]	Loss: 0.5973	LR: 0.020000
Training Epoch: 24 [46592/48700]	Loss: 0.5743	LR: 0.020000
Training Epoch: 24 [46848/48700]	Loss: 0.5491	LR: 0.020000
Training Epoch: 24 [47104/48700]	Loss: 0.6617	LR: 0.020000
Training Epoch: 24 [47360/48700]	Loss: 0.6288	LR: 0.020000
Training Epoch: 24 [47616/48700]	Loss: 0.6082	LR: 0.020000
Training Epoch: 24 [47872/48700]	Loss: 0.5356	LR: 0.020000
Training Epoch: 24 [48128/48700]	Loss: 0.5366	LR: 0.020000
Training Epoch: 24 [48384/48700]	Loss: 0.5535	LR: 0.020000
Training Epoch: 24 [48640/48700]	Loss: 0.5909	LR: 0.020000
Training Epoch: 24 [48700/48700]	Loss: 0.4612	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5685, Train Accuracy: 0.8159
Epoch 24 training time consumed: 27.13s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0036, Accuracy: 0.7277, Time consumed:0.88s
Training Epoch: 25 [256/48700]	Loss: 0.5331	LR: 0.020000
Training Epoch: 25 [512/48700]	Loss: 0.4654	LR: 0.020000
Training Epoch: 25 [768/48700]	Loss: 0.6062	LR: 0.020000
Training Epoch: 25 [1024/48700]	Loss: 0.5493	LR: 0.020000
Training Epoch: 25 [1280/48700]	Loss: 0.4441	LR: 0.020000
Training Epoch: 25 [1536/48700]	Loss: 0.4909	LR: 0.020000
Training Epoch: 25 [1792/48700]	Loss: 0.5314	LR: 0.020000
Training Epoch: 25 [2048/48700]	Loss: 0.6720	LR: 0.020000
Training Epoch: 25 [2304/48700]	Loss: 0.4719	LR: 0.020000
Training Epoch: 25 [2560/48700]	Loss: 0.5257	LR: 0.020000
Training Epoch: 25 [2816/48700]	Loss: 0.5168	LR: 0.020000
Training Epoch: 25 [3072/48700]	Loss: 0.4870	LR: 0.020000
Training Epoch: 25 [3328/48700]	Loss: 0.5086	LR: 0.020000
Training Epoch: 25 [3584/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 25 [3840/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 25 [4096/48700]	Loss: 0.4958	LR: 0.020000
Training Epoch: 25 [4352/48700]	Loss: 0.5837	LR: 0.020000
Training Epoch: 25 [4608/48700]	Loss: 0.5987	LR: 0.020000
Training Epoch: 25 [4864/48700]	Loss: 0.5423	LR: 0.020000
Training Epoch: 25 [5120/48700]	Loss: 0.5656	LR: 0.020000
Training Epoch: 25 [5376/48700]	Loss: 0.5549	LR: 0.020000
Training Epoch: 25 [5632/48700]	Loss: 0.5473	LR: 0.020000
Training Epoch: 25 [5888/48700]	Loss: 0.6002	LR: 0.020000
Training Epoch: 25 [6144/48700]	Loss: 0.5610	LR: 0.020000
Training Epoch: 25 [6400/48700]	Loss: 0.5431	LR: 0.020000
Training Epoch: 25 [6656/48700]	Loss: 0.5811	LR: 0.020000
Training Epoch: 25 [6912/48700]	Loss: 0.5262	LR: 0.020000
Training Epoch: 25 [7168/48700]	Loss: 0.5648	LR: 0.020000
Training Epoch: 25 [7424/48700]	Loss: 0.5139	LR: 0.020000
Training Epoch: 25 [7680/48700]	Loss: 0.6359	LR: 0.020000
Training Epoch: 25 [7936/48700]	Loss: 0.5996	LR: 0.020000
Training Epoch: 25 [8192/48700]	Loss: 0.4929	LR: 0.020000
Training Epoch: 25 [8448/48700]	Loss: 0.4963	LR: 0.020000
Training Epoch: 25 [8704/48700]	Loss: 0.5388	LR: 0.020000
Training Epoch: 25 [8960/48700]	Loss: 0.5070	LR: 0.020000
Training Epoch: 25 [9216/48700]	Loss: 0.5535	LR: 0.020000
Training Epoch: 25 [9472/48700]	Loss: 0.4996	LR: 0.020000
Training Epoch: 25 [9728/48700]	Loss: 0.4460	LR: 0.020000
Training Epoch: 25 [9984/48700]	Loss: 0.4829	LR: 0.020000
Training Epoch: 25 [10240/48700]	Loss: 0.5203	LR: 0.020000
Training Epoch: 25 [10496/48700]	Loss: 0.5306	LR: 0.020000
Training Epoch: 25 [10752/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 25 [11008/48700]	Loss: 0.5580	LR: 0.020000
Training Epoch: 25 [11264/48700]	Loss: 0.5109	LR: 0.020000
Training Epoch: 25 [11520/48700]	Loss: 0.5426	LR: 0.020000
Training Epoch: 25 [11776/48700]	Loss: 0.5618	LR: 0.020000
Training Epoch: 25 [12032/48700]	Loss: 0.4611	LR: 0.020000
Training Epoch: 25 [12288/48700]	Loss: 0.5365	LR: 0.020000
Training Epoch: 25 [12544/48700]	Loss: 0.5431	LR: 0.020000
Training Epoch: 25 [12800/48700]	Loss: 0.5719	LR: 0.020000
Training Epoch: 25 [13056/48700]	Loss: 0.6299	LR: 0.020000
Training Epoch: 25 [13312/48700]	Loss: 0.4171	LR: 0.020000
Training Epoch: 25 [13568/48700]	Loss: 0.5397	LR: 0.020000
Training Epoch: 25 [13824/48700]	Loss: 0.5205	LR: 0.020000
Training Epoch: 25 [14080/48700]	Loss: 0.4776	LR: 0.020000
Training Epoch: 25 [14336/48700]	Loss: 0.5211	LR: 0.020000
Training Epoch: 25 [14592/48700]	Loss: 0.4949	LR: 0.020000
Training Epoch: 25 [14848/48700]	Loss: 0.5572	LR: 0.020000
Training Epoch: 25 [15104/48700]	Loss: 0.5883	LR: 0.020000
Training Epoch: 25 [15360/48700]	Loss: 0.5856	LR: 0.020000
Training Epoch: 25 [15616/48700]	Loss: 0.4875	LR: 0.020000
Training Epoch: 25 [15872/48700]	Loss: 0.4851	LR: 0.020000
Training Epoch: 25 [16128/48700]	Loss: 0.5594	LR: 0.020000
Training Epoch: 25 [16384/48700]	Loss: 0.5678	LR: 0.020000
Training Epoch: 25 [16640/48700]	Loss: 0.5401	LR: 0.020000
Training Epoch: 25 [16896/48700]	Loss: 0.4827	LR: 0.020000
Training Epoch: 25 [17152/48700]	Loss: 0.5396	LR: 0.020000
Training Epoch: 25 [17408/48700]	Loss: 0.5469	LR: 0.020000
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Training Epoch: 25 [18176/48700]	Loss: 0.5784	LR: 0.020000
Training Epoch: 25 [18432/48700]	Loss: 0.6180	LR: 0.020000
Training Epoch: 25 [18688/48700]	Loss: 0.4522	LR: 0.020000
Training Epoch: 25 [18944/48700]	Loss: 0.5071	LR: 0.020000
Training Epoch: 25 [19200/48700]	Loss: 0.4992	LR: 0.020000
Training Epoch: 25 [19456/48700]	Loss: 0.4917	LR: 0.020000
Training Epoch: 25 [19712/48700]	Loss: 0.6032	LR: 0.020000
Training Epoch: 25 [19968/48700]	Loss: 0.5649	LR: 0.020000
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Training Epoch: 25 [20736/48700]	Loss: 0.5663	LR: 0.020000
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Training Epoch: 25 [21248/48700]	Loss: 0.4649	LR: 0.020000
Training Epoch: 25 [21504/48700]	Loss: 0.6320	LR: 0.020000
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Training Epoch: 25 [22016/48700]	Loss: 0.5246	LR: 0.020000
Training Epoch: 25 [22272/48700]	Loss: 0.5388	LR: 0.020000
Training Epoch: 25 [22528/48700]	Loss: 0.5832	LR: 0.020000
Training Epoch: 25 [22784/48700]	Loss: 0.6181	LR: 0.020000
Training Epoch: 25 [23040/48700]	Loss: 0.4585	LR: 0.020000
Training Epoch: 25 [23296/48700]	Loss: 0.5604	LR: 0.020000
Training Epoch: 25 [23552/48700]	Loss: 0.5787	LR: 0.020000
Training Epoch: 25 [23808/48700]	Loss: 0.5100	LR: 0.020000
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Training Epoch: 25 [24320/48700]	Loss: 0.4903	LR: 0.020000
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Training Epoch: 25 [24832/48700]	Loss: 0.5598	LR: 0.020000
Training Epoch: 25 [25088/48700]	Loss: 0.5301	LR: 0.020000
Training Epoch: 25 [25344/48700]	Loss: 0.5694	LR: 0.020000
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Training Epoch: 25 [26112/48700]	Loss: 0.5143	LR: 0.020000
Training Epoch: 25 [26368/48700]	Loss: 0.5896	LR: 0.020000
Training Epoch: 25 [26624/48700]	Loss: 0.5631	LR: 0.020000
Training Epoch: 25 [26880/48700]	Loss: 0.5087	LR: 0.020000
Training Epoch: 25 [27136/48700]	Loss: 0.5451	LR: 0.020000
Training Epoch: 25 [27392/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 25 [27648/48700]	Loss: 0.6553	LR: 0.020000
Training Epoch: 25 [27904/48700]	Loss: 0.6092	LR: 0.020000
Training Epoch: 25 [28160/48700]	Loss: 0.5909	LR: 0.020000
Training Epoch: 25 [28416/48700]	Loss: 0.5524	LR: 0.020000
Training Epoch: 25 [28672/48700]	Loss: 0.5587	LR: 0.020000
Training Epoch: 25 [28928/48700]	Loss: 0.5100	LR: 0.020000
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Training Epoch: 25 [29440/48700]	Loss: 0.4813	LR: 0.020000
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Training Epoch: 25 [30208/48700]	Loss: 0.5992	LR: 0.020000
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Training Epoch: 25 [31232/48700]	Loss: 0.5261	LR: 0.020000
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Training Epoch: 25 [32256/48700]	Loss: 0.5213	LR: 0.020000
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Training Epoch: 25 [32768/48700]	Loss: 0.4982	LR: 0.020000
Training Epoch: 25 [33024/48700]	Loss: 0.7298	LR: 0.020000
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Training Epoch: 25 [33792/48700]	Loss: 0.4649	LR: 0.020000
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Training Epoch: 25 [35328/48700]	Loss: 0.6046	LR: 0.020000
Training Epoch: 25 [35584/48700]	Loss: 0.6996	LR: 0.020000
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Training Epoch: 25 [36352/48700]	Loss: 0.5319	LR: 0.020000
Training Epoch: 25 [36608/48700]	Loss: 0.6393	LR: 0.020000
Training Epoch: 25 [36864/48700]	Loss: 0.5878	LR: 0.020000
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Training Epoch: 25 [37376/48700]	Loss: 0.6012	LR: 0.020000
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Training Epoch: 25 [37888/48700]	Loss: 0.4828	LR: 0.020000
Training Epoch: 25 [38144/48700]	Loss: 0.7231	LR: 0.020000
Training Epoch: 25 [38400/48700]	Loss: 0.6232	LR: 0.020000
Training Epoch: 25 [38656/48700]	Loss: 0.6513	LR: 0.020000
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Training Epoch: 25 [39168/48700]	Loss: 0.6788	LR: 0.020000
Training Epoch: 25 [39424/48700]	Loss: 0.5490	LR: 0.020000
Training Epoch: 25 [39680/48700]	Loss: 0.5997	LR: 0.020000
Training Epoch: 25 [39936/48700]	Loss: 0.4853	LR: 0.020000
Training Epoch: 25 [40192/48700]	Loss: 0.5321	LR: 0.020000
Training Epoch: 25 [40448/48700]	Loss: 0.5987	LR: 0.020000
Training Epoch: 25 [40704/48700]	Loss: 0.5597	LR: 0.020000
Training Epoch: 25 [40960/48700]	Loss: 0.4773	LR: 0.020000
Training Epoch: 25 [41216/48700]	Loss: 0.5582	LR: 0.020000
Training Epoch: 25 [41472/48700]	Loss: 0.6425	LR: 0.020000
Training Epoch: 25 [41728/48700]	Loss: 0.5842	LR: 0.020000
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Training Epoch: 25 [42240/48700]	Loss: 0.5547	LR: 0.020000
Training Epoch: 25 [42496/48700]	Loss: 0.5353	LR: 0.020000
Training Epoch: 25 [42752/48700]	Loss: 0.5613	LR: 0.020000
Training Epoch: 25 [43008/48700]	Loss: 0.6231	LR: 0.020000
Training Epoch: 25 [43264/48700]	Loss: 0.5779	LR: 0.020000
Training Epoch: 25 [43520/48700]	Loss: 0.4987	LR: 0.020000
Training Epoch: 25 [43776/48700]	Loss: 0.5577	LR: 0.020000
Training Epoch: 25 [44032/48700]	Loss: 0.6094	LR: 0.020000
Training Epoch: 25 [44288/48700]	Loss: 0.6094	LR: 0.020000
Training Epoch: 25 [44544/48700]	Loss: 0.5755	LR: 0.020000
Training Epoch: 25 [44800/48700]	Loss: 0.5771	LR: 0.020000
Training Epoch: 25 [45056/48700]	Loss: 0.6412	LR: 0.020000
Training Epoch: 25 [45312/48700]	Loss: 0.6388	LR: 0.020000
Training Epoch: 25 [45568/48700]	Loss: 0.5498	LR: 0.020000
Training Epoch: 25 [45824/48700]	Loss: 0.5331	LR: 0.020000
Training Epoch: 25 [46080/48700]	Loss: 0.6199	LR: 0.020000
Training Epoch: 25 [46336/48700]	Loss: 0.5067	LR: 0.020000
Training Epoch: 25 [46592/48700]	Loss: 0.6660	LR: 0.020000
Training Epoch: 25 [46848/48700]	Loss: 0.5848	LR: 0.020000
Training Epoch: 25 [47104/48700]	Loss: 0.5048	LR: 0.020000
Training Epoch: 25 [47360/48700]	Loss: 0.5967	LR: 0.020000
Training Epoch: 25 [47616/48700]	Loss: 0.6091	LR: 0.020000
Training Epoch: 25 [47872/48700]	Loss: 0.6298	LR: 0.020000
Training Epoch: 25 [48128/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 25 [48384/48700]	Loss: 0.5902	LR: 0.020000
Training Epoch: 25 [48640/48700]	Loss: 0.6336	LR: 0.020000
Training Epoch: 25 [48700/48700]	Loss: 0.7303	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5557, Train Accuracy: 0.8198
Epoch 25 training time consumed: 26.67s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0039, Accuracy: 0.7207, Time consumed:0.95s
Training Epoch: 26 [256/48700]	Loss: 0.4424	LR: 0.020000
Training Epoch: 26 [512/48700]	Loss: 0.5304	LR: 0.020000
Training Epoch: 26 [768/48700]	Loss: 0.6055	LR: 0.020000
Training Epoch: 26 [1024/48700]	Loss: 0.5654	LR: 0.020000
Training Epoch: 26 [1280/48700]	Loss: 0.6093	LR: 0.020000
Training Epoch: 26 [1536/48700]	Loss: 0.5829	LR: 0.020000
Training Epoch: 26 [1792/48700]	Loss: 0.5069	LR: 0.020000
Training Epoch: 26 [2048/48700]	Loss: 0.5200	LR: 0.020000
Training Epoch: 26 [2304/48700]	Loss: 0.5438	LR: 0.020000
Training Epoch: 26 [2560/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 26 [2816/48700]	Loss: 0.4743	LR: 0.020000
Training Epoch: 26 [3072/48700]	Loss: 0.4800	LR: 0.020000
Training Epoch: 26 [3328/48700]	Loss: 0.5239	LR: 0.020000
Training Epoch: 26 [3584/48700]	Loss: 0.4888	LR: 0.020000
Training Epoch: 26 [3840/48700]	Loss: 0.4784	LR: 0.020000
Training Epoch: 26 [4096/48700]	Loss: 0.4894	LR: 0.020000
Training Epoch: 26 [4352/48700]	Loss: 0.5332	LR: 0.020000
Training Epoch: 26 [4608/48700]	Loss: 0.5612	LR: 0.020000
Training Epoch: 26 [4864/48700]	Loss: 0.4772	LR: 0.020000
Training Epoch: 26 [5120/48700]	Loss: 0.6224	LR: 0.020000
Training Epoch: 26 [5376/48700]	Loss: 0.5318	LR: 0.020000
Training Epoch: 26 [5632/48700]	Loss: 0.5122	LR: 0.020000
Training Epoch: 26 [5888/48700]	Loss: 0.5064	LR: 0.020000
Training Epoch: 26 [6144/48700]	Loss: 0.4982	LR: 0.020000
Training Epoch: 26 [6400/48700]	Loss: 0.5487	LR: 0.020000
Training Epoch: 26 [6656/48700]	Loss: 0.5152	LR: 0.020000
Training Epoch: 26 [6912/48700]	Loss: 0.4888	LR: 0.020000
Training Epoch: 26 [7168/48700]	Loss: 0.5322	LR: 0.020000
Training Epoch: 26 [7424/48700]	Loss: 0.5066	LR: 0.020000
Training Epoch: 26 [7680/48700]	Loss: 0.5881	LR: 0.020000
Training Epoch: 26 [7936/48700]	Loss: 0.5687	LR: 0.020000
Training Epoch: 26 [8192/48700]	Loss: 0.5755	LR: 0.020000
Training Epoch: 26 [8448/48700]	Loss: 0.5415	LR: 0.020000
Training Epoch: 26 [8704/48700]	Loss: 0.5850	LR: 0.020000
Training Epoch: 26 [8960/48700]	Loss: 0.5736	LR: 0.020000
Training Epoch: 26 [9216/48700]	Loss: 0.5161	LR: 0.020000
Training Epoch: 26 [9472/48700]	Loss: 0.4665	LR: 0.020000
Training Epoch: 26 [9728/48700]	Loss: 0.5783	LR: 0.020000
Training Epoch: 26 [9984/48700]	Loss: 0.4428	LR: 0.020000
Training Epoch: 26 [10240/48700]	Loss: 0.5264	LR: 0.020000
Training Epoch: 26 [10496/48700]	Loss: 0.5060	LR: 0.020000
Training Epoch: 26 [10752/48700]	Loss: 0.5016	LR: 0.020000
Training Epoch: 26 [11008/48700]	Loss: 0.5137	LR: 0.020000
Training Epoch: 26 [11264/48700]	Loss: 0.5011	LR: 0.020000
Training Epoch: 26 [11520/48700]	Loss: 0.5752	LR: 0.020000
Training Epoch: 26 [11776/48700]	Loss: 0.4573	LR: 0.020000
Training Epoch: 26 [12032/48700]	Loss: 0.5465	LR: 0.020000
Training Epoch: 26 [12288/48700]	Loss: 0.4988	LR: 0.020000
Training Epoch: 26 [12544/48700]	Loss: 0.4957	LR: 0.020000
Training Epoch: 26 [12800/48700]	Loss: 0.4446	LR: 0.020000
Training Epoch: 26 [13056/48700]	Loss: 0.5251	LR: 0.020000
Training Epoch: 26 [13312/48700]	Loss: 0.4828	LR: 0.020000
Training Epoch: 26 [13568/48700]	Loss: 0.4905	LR: 0.020000
Training Epoch: 26 [13824/48700]	Loss: 0.5014	LR: 0.020000
Training Epoch: 26 [14080/48700]	Loss: 0.5456	LR: 0.020000
Training Epoch: 26 [14336/48700]	Loss: 0.4455	LR: 0.020000
Training Epoch: 26 [14592/48700]	Loss: 0.5757	LR: 0.020000
Training Epoch: 26 [14848/48700]	Loss: 0.4775	LR: 0.020000
Training Epoch: 26 [15104/48700]	Loss: 0.5426	LR: 0.020000
Training Epoch: 26 [15360/48700]	Loss: 0.5648	LR: 0.020000
Training Epoch: 26 [15616/48700]	Loss: 0.4329	LR: 0.020000
Training Epoch: 26 [15872/48700]	Loss: 0.5620	LR: 0.020000
Training Epoch: 26 [16128/48700]	Loss: 0.5295	LR: 0.020000
Training Epoch: 26 [16384/48700]	Loss: 0.4296	LR: 0.020000
Training Epoch: 26 [16640/48700]	Loss: 0.5150	LR: 0.020000
Training Epoch: 26 [16896/48700]	Loss: 0.5319	LR: 0.020000
Training Epoch: 26 [17152/48700]	Loss: 0.5544	LR: 0.020000
Training Epoch: 26 [17408/48700]	Loss: 0.4232	LR: 0.020000
Training Epoch: 26 [17664/48700]	Loss: 0.4919	LR: 0.020000
Training Epoch: 26 [17920/48700]	Loss: 0.5393	LR: 0.020000
Training Epoch: 26 [18176/48700]	Loss: 0.6264	LR: 0.020000
Training Epoch: 26 [18432/48700]	Loss: 0.5262	LR: 0.020000
Training Epoch: 26 [18688/48700]	Loss: 0.4543	LR: 0.020000
Training Epoch: 26 [18944/48700]	Loss: 0.5617	LR: 0.020000
Training Epoch: 26 [19200/48700]	Loss: 0.5418	LR: 0.020000
Training Epoch: 26 [19456/48700]	Loss: 0.4653	LR: 0.020000
Training Epoch: 26 [19712/48700]	Loss: 0.5067	LR: 0.020000
Training Epoch: 26 [19968/48700]	Loss: 0.4853	LR: 0.020000
Training Epoch: 26 [20224/48700]	Loss: 0.5789	LR: 0.020000
Training Epoch: 26 [20480/48700]	Loss: 0.5257	LR: 0.020000
Training Epoch: 26 [20736/48700]	Loss: 0.5442	LR: 0.020000
Training Epoch: 26 [20992/48700]	Loss: 0.5153	LR: 0.020000
Training Epoch: 26 [21248/48700]	Loss: 0.4821	LR: 0.020000
Training Epoch: 26 [21504/48700]	Loss: 0.5498	LR: 0.020000
Training Epoch: 26 [21760/48700]	Loss: 0.4002	LR: 0.020000
Training Epoch: 26 [22016/48700]	Loss: 0.4678	LR: 0.020000
Training Epoch: 26 [22272/48700]	Loss: 0.5741	LR: 0.020000
Training Epoch: 26 [22528/48700]	Loss: 0.5134	LR: 0.020000
Training Epoch: 26 [22784/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 26 [23040/48700]	Loss: 0.5727	LR: 0.020000
Training Epoch: 26 [23296/48700]	Loss: 0.5434	LR: 0.020000
Training Epoch: 26 [23552/48700]	Loss: 0.5246	LR: 0.020000
Training Epoch: 26 [23808/48700]	Loss: 0.5218	LR: 0.020000
Training Epoch: 26 [24064/48700]	Loss: 0.5801	LR: 0.020000
Training Epoch: 26 [24320/48700]	Loss: 0.4347	LR: 0.020000
Training Epoch: 26 [24576/48700]	Loss: 0.5885	LR: 0.020000
Training Epoch: 26 [24832/48700]	Loss: 0.6615	LR: 0.020000
Training Epoch: 26 [25088/48700]	Loss: 0.4396	LR: 0.020000
Training Epoch: 26 [25344/48700]	Loss: 0.5842	LR: 0.020000
Training Epoch: 26 [25600/48700]	Loss: 0.7151	LR: 0.020000
Training Epoch: 26 [25856/48700]	Loss: 0.7254	LR: 0.020000
Training Epoch: 26 [26112/48700]	Loss: 0.5501	LR: 0.020000
Training Epoch: 26 [26368/48700]	Loss: 0.6948	LR: 0.020000
Training Epoch: 26 [26624/48700]	Loss: 0.6473	LR: 0.020000
Training Epoch: 26 [26880/48700]	Loss: 0.5174	LR: 0.020000
Training Epoch: 26 [27136/48700]	Loss: 0.5886	LR: 0.020000
Training Epoch: 26 [27392/48700]	Loss: 0.4587	LR: 0.020000
Training Epoch: 26 [27648/48700]	Loss: 0.5324	LR: 0.020000
Training Epoch: 26 [27904/48700]	Loss: 0.5053	LR: 0.020000
Training Epoch: 26 [28160/48700]	Loss: 0.5089	LR: 0.020000
Training Epoch: 26 [28416/48700]	Loss: 0.6901	LR: 0.020000
Training Epoch: 26 [28672/48700]	Loss: 0.5797	LR: 0.020000
Training Epoch: 26 [28928/48700]	Loss: 0.6302	LR: 0.020000
Training Epoch: 26 [29184/48700]	Loss: 0.5891	LR: 0.020000
Training Epoch: 26 [29440/48700]	Loss: 0.5745	LR: 0.020000
Training Epoch: 26 [29696/48700]	Loss: 0.4364	LR: 0.020000
Training Epoch: 26 [29952/48700]	Loss: 0.5541	LR: 0.020000
Training Epoch: 26 [30208/48700]	Loss: 0.5194	LR: 0.020000
Training Epoch: 26 [30464/48700]	Loss: 0.5305	LR: 0.020000
Training Epoch: 26 [30720/48700]	Loss: 0.5388	LR: 0.020000
Training Epoch: 26 [30976/48700]	Loss: 0.5934	LR: 0.020000
Training Epoch: 26 [31232/48700]	Loss: 0.5435	LR: 0.020000
Training Epoch: 26 [31488/48700]	Loss: 0.5176	LR: 0.020000
Training Epoch: 26 [31744/48700]	Loss: 0.4945	LR: 0.020000
Training Epoch: 26 [32000/48700]	Loss: 0.6625	LR: 0.020000
Training Epoch: 26 [32256/48700]	Loss: 0.5744	LR: 0.020000
Training Epoch: 26 [32512/48700]	Loss: 0.5036	LR: 0.020000
Training Epoch: 26 [32768/48700]	Loss: 0.5130	LR: 0.020000
Training Epoch: 26 [33024/48700]	Loss: 0.5446	LR: 0.020000
Training Epoch: 26 [33280/48700]	Loss: 0.6337	LR: 0.020000
Training Epoch: 26 [33536/48700]	Loss: 0.5311	LR: 0.020000
Training Epoch: 26 [33792/48700]	Loss: 0.4997	LR: 0.020000
Training Epoch: 26 [34048/48700]	Loss: 0.6412	LR: 0.020000
Training Epoch: 26 [34304/48700]	Loss: 0.5908	LR: 0.020000
Training Epoch: 26 [34560/48700]	Loss: 0.4680	LR: 0.020000
Training Epoch: 26 [34816/48700]	Loss: 0.6855	LR: 0.020000
Training Epoch: 26 [35072/48700]	Loss: 0.4425	LR: 0.020000
Training Epoch: 26 [35328/48700]	Loss: 0.4576	LR: 0.020000
Training Epoch: 26 [35584/48700]	Loss: 0.5577	LR: 0.020000
Training Epoch: 26 [35840/48700]	Loss: 0.5399	LR: 0.020000
Training Epoch: 26 [36096/48700]	Loss: 0.4624	LR: 0.020000
Training Epoch: 26 [36352/48700]	Loss: 0.5699	LR: 0.020000
Training Epoch: 26 [36608/48700]	Loss: 0.5664	LR: 0.020000
Training Epoch: 26 [36864/48700]	Loss: 0.5649	LR: 0.020000
Training Epoch: 26 [37120/48700]	Loss: 0.4764	LR: 0.020000
Training Epoch: 26 [37376/48700]	Loss: 0.6010	LR: 0.020000
Training Epoch: 26 [37632/48700]	Loss: 0.5540	LR: 0.020000
Training Epoch: 26 [37888/48700]	Loss: 0.5473	LR: 0.020000
Training Epoch: 26 [38144/48700]	Loss: 0.5368	LR: 0.020000
Training Epoch: 26 [38400/48700]	Loss: 0.5123	LR: 0.020000
Training Epoch: 26 [38656/48700]	Loss: 0.5500	LR: 0.020000
Training Epoch: 26 [38912/48700]	Loss: 0.4813	LR: 0.020000
Training Epoch: 26 [39168/48700]	Loss: 0.5089	LR: 0.020000
Training Epoch: 26 [39424/48700]	Loss: 0.6151	LR: 0.020000
Training Epoch: 26 [39680/48700]	Loss: 0.6568	LR: 0.020000
Training Epoch: 26 [39936/48700]	Loss: 0.5349	LR: 0.020000
Training Epoch: 26 [40192/48700]	Loss: 0.5899	LR: 0.020000
Training Epoch: 26 [40448/48700]	Loss: 0.5281	LR: 0.020000
Training Epoch: 26 [40704/48700]	Loss: 0.6674	LR: 0.020000
Training Epoch: 26 [40960/48700]	Loss: 0.5830	LR: 0.020000
Training Epoch: 26 [41216/48700]	Loss: 0.5010	LR: 0.020000
Training Epoch: 26 [41472/48700]	Loss: 0.5508	LR: 0.020000
Training Epoch: 26 [41728/48700]	Loss: 0.6894	LR: 0.020000
Training Epoch: 26 [41984/48700]	Loss: 0.4961	LR: 0.020000
Training Epoch: 26 [42240/48700]	Loss: 0.5163	LR: 0.020000
Training Epoch: 26 [42496/48700]	Loss: 0.5247	LR: 0.020000
Training Epoch: 26 [42752/48700]	Loss: 0.6373	LR: 0.020000
Training Epoch: 26 [43008/48700]	Loss: 0.5145	LR: 0.020000
Training Epoch: 26 [43264/48700]	Loss: 0.6021	LR: 0.020000
Training Epoch: 26 [43520/48700]	Loss: 0.6366	LR: 0.020000
Training Epoch: 26 [43776/48700]	Loss: 0.6272	LR: 0.020000
Training Epoch: 26 [44032/48700]	Loss: 0.5207	LR: 0.020000
Training Epoch: 26 [44288/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 26 [44544/48700]	Loss: 0.6286	LR: 0.020000
Training Epoch: 26 [44800/48700]	Loss: 0.5420	LR: 0.020000
Training Epoch: 26 [45056/48700]	Loss: 0.6498	LR: 0.020000
Training Epoch: 26 [45312/48700]	Loss: 0.5492	LR: 0.020000
Training Epoch: 26 [45568/48700]	Loss: 0.5011	LR: 0.020000
Training Epoch: 26 [45824/48700]	Loss: 0.5497	LR: 0.020000
Training Epoch: 26 [46080/48700]	Loss: 0.6345	LR: 0.020000
Training Epoch: 26 [46336/48700]	Loss: 0.5666	LR: 0.020000
Training Epoch: 26 [46592/48700]	Loss: 0.5689	LR: 0.020000
Training Epoch: 26 [46848/48700]	Loss: 0.4581	LR: 0.020000
Training Epoch: 26 [47104/48700]	Loss: 0.6862	LR: 0.020000
Training Epoch: 26 [47360/48700]	Loss: 0.5769	LR: 0.020000
Training Epoch: 26 [47616/48700]	Loss: 0.5826	LR: 0.020000
Training Epoch: 26 [47872/48700]	Loss: 0.5498	LR: 0.020000
Training Epoch: 26 [48128/48700]	Loss: 0.5606	LR: 0.020000
Training Epoch: 26 [48384/48700]	Loss: 0.5843	LR: 0.020000
Training Epoch: 26 [48640/48700]	Loss: 0.6193	LR: 0.020000
Training Epoch: 26 [48700/48700]	Loss: 0.5154	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5421, Train Accuracy: 0.8234
Epoch 26 training time consumed: 27.00s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0035, Accuracy: 0.7356, Time consumed:0.88s
Training Epoch: 27 [256/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 27 [512/48700]	Loss: 0.4790	LR: 0.020000
Training Epoch: 27 [768/48700]	Loss: 0.5222	LR: 0.020000
Training Epoch: 27 [1024/48700]	Loss: 0.4899	LR: 0.020000
Training Epoch: 27 [1280/48700]	Loss: 0.4885	LR: 0.020000
Training Epoch: 27 [1536/48700]	Loss: 0.5134	LR: 0.020000
Training Epoch: 27 [1792/48700]	Loss: 0.5858	LR: 0.020000
Training Epoch: 27 [2048/48700]	Loss: 0.5999	LR: 0.020000
Training Epoch: 27 [2304/48700]	Loss: 0.5611	LR: 0.020000
Training Epoch: 27 [2560/48700]	Loss: 0.5336	LR: 0.020000
Training Epoch: 27 [2816/48700]	Loss: 0.4805	LR: 0.020000
Training Epoch: 27 [3072/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 27 [3328/48700]	Loss: 0.6105	LR: 0.020000
Training Epoch: 27 [3584/48700]	Loss: 0.5159	LR: 0.020000
Training Epoch: 27 [3840/48700]	Loss: 0.5569	LR: 0.020000
Training Epoch: 27 [4096/48700]	Loss: 0.4552	LR: 0.020000
Training Epoch: 27 [4352/48700]	Loss: 0.4282	LR: 0.020000
Training Epoch: 27 [4608/48700]	Loss: 0.5037	LR: 0.020000
Training Epoch: 27 [4864/48700]	Loss: 0.5240	LR: 0.020000
Training Epoch: 27 [5120/48700]	Loss: 0.5646	LR: 0.020000
Training Epoch: 27 [5376/48700]	Loss: 0.5840	LR: 0.020000
Training Epoch: 27 [5632/48700]	Loss: 0.4396	LR: 0.020000
Training Epoch: 27 [5888/48700]	Loss: 0.5211	LR: 0.020000
Training Epoch: 27 [6144/48700]	Loss: 0.5225	LR: 0.020000
Training Epoch: 27 [6400/48700]	Loss: 0.5557	LR: 0.020000
Training Epoch: 27 [6656/48700]	Loss: 0.5208	LR: 0.020000
Training Epoch: 27 [6912/48700]	Loss: 0.5579	LR: 0.020000
Training Epoch: 27 [7168/48700]	Loss: 0.5228	LR: 0.020000
Training Epoch: 27 [7424/48700]	Loss: 0.4929	LR: 0.020000
Training Epoch: 27 [7680/48700]	Loss: 0.4121	LR: 0.020000
Training Epoch: 27 [7936/48700]	Loss: 0.5299	LR: 0.020000
Training Epoch: 27 [8192/48700]	Loss: 0.5803	LR: 0.020000
Training Epoch: 27 [8448/48700]	Loss: 0.5313	LR: 0.020000
Training Epoch: 27 [8704/48700]	Loss: 0.4793	LR: 0.020000
Training Epoch: 27 [8960/48700]	Loss: 0.5335	LR: 0.020000
Training Epoch: 27 [9216/48700]	Loss: 0.4751	LR: 0.020000
Training Epoch: 27 [9472/48700]	Loss: 0.5178	LR: 0.020000
Training Epoch: 27 [9728/48700]	Loss: 0.5091	LR: 0.020000
Training Epoch: 27 [9984/48700]	Loss: 0.5586	LR: 0.020000
Training Epoch: 27 [10240/48700]	Loss: 0.5455	LR: 0.020000
Training Epoch: 27 [10496/48700]	Loss: 0.4557	LR: 0.020000
Training Epoch: 27 [10752/48700]	Loss: 0.4383	LR: 0.020000
Training Epoch: 27 [11008/48700]	Loss: 0.5296	LR: 0.020000
Training Epoch: 27 [11264/48700]	Loss: 0.4651	LR: 0.020000
Training Epoch: 27 [11520/48700]	Loss: 0.4493	LR: 0.020000
Training Epoch: 27 [11776/48700]	Loss: 0.5843	LR: 0.020000
Training Epoch: 27 [12032/48700]	Loss: 0.4535	LR: 0.020000
Training Epoch: 27 [12288/48700]	Loss: 0.5172	LR: 0.020000
Training Epoch: 27 [12544/48700]	Loss: 0.5512	LR: 0.020000
Training Epoch: 27 [12800/48700]	Loss: 0.5208	LR: 0.020000
Training Epoch: 27 [13056/48700]	Loss: 0.5456	LR: 0.020000
Training Epoch: 27 [13312/48700]	Loss: 0.4167	LR: 0.020000
Training Epoch: 27 [13568/48700]	Loss: 0.6278	LR: 0.020000
Training Epoch: 27 [13824/48700]	Loss: 0.5051	LR: 0.020000
Training Epoch: 27 [14080/48700]	Loss: 0.5211	LR: 0.020000
Training Epoch: 27 [14336/48700]	Loss: 0.4911	LR: 0.020000
Training Epoch: 27 [14592/48700]	Loss: 0.5336	LR: 0.020000
Training Epoch: 27 [14848/48700]	Loss: 0.5663	LR: 0.020000
Training Epoch: 27 [15104/48700]	Loss: 0.4592	LR: 0.020000
Training Epoch: 27 [15360/48700]	Loss: 0.5587	LR: 0.020000
Training Epoch: 27 [15616/48700]	Loss: 0.5366	LR: 0.020000
Training Epoch: 27 [15872/48700]	Loss: 0.4806	LR: 0.020000
Training Epoch: 27 [16128/48700]	Loss: 0.5405	LR: 0.020000
Training Epoch: 27 [16384/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 27 [16640/48700]	Loss: 0.5551	LR: 0.020000
Training Epoch: 27 [16896/48700]	Loss: 0.5291	LR: 0.020000
Training Epoch: 27 [17152/48700]	Loss: 0.5705	LR: 0.020000
Training Epoch: 27 [17408/48700]	Loss: 0.4197	LR: 0.020000
Training Epoch: 27 [17664/48700]	Loss: 0.5666	LR: 0.020000
Training Epoch: 27 [17920/48700]	Loss: 0.4130	LR: 0.020000
Training Epoch: 27 [18176/48700]	Loss: 0.5018	LR: 0.020000
Training Epoch: 27 [18432/48700]	Loss: 0.6591	LR: 0.020000
Training Epoch: 27 [18688/48700]	Loss: 0.4656	LR: 0.020000
Training Epoch: 27 [18944/48700]	Loss: 0.5404	LR: 0.020000
Training Epoch: 27 [19200/48700]	Loss: 0.4457	LR: 0.020000
Training Epoch: 27 [19456/48700]	Loss: 0.6320	LR: 0.020000
Training Epoch: 27 [19712/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 27 [19968/48700]	Loss: 0.4636	LR: 0.020000
Training Epoch: 27 [20224/48700]	Loss: 0.6211	LR: 0.020000
Training Epoch: 27 [20480/48700]	Loss: 0.5607	LR: 0.020000
Training Epoch: 27 [20736/48700]	Loss: 0.6081	LR: 0.020000
Training Epoch: 27 [20992/48700]	Loss: 0.4662	LR: 0.020000
Training Epoch: 27 [21248/48700]	Loss: 0.5013	LR: 0.020000
Training Epoch: 27 [21504/48700]	Loss: 0.5651	LR: 0.020000
Training Epoch: 27 [21760/48700]	Loss: 0.5358	LR: 0.020000
Training Epoch: 27 [22016/48700]	Loss: 0.4737	LR: 0.020000
Training Epoch: 27 [22272/48700]	Loss: 0.5511	LR: 0.020000
Training Epoch: 27 [22528/48700]	Loss: 0.5366	LR: 0.020000
Training Epoch: 27 [22784/48700]	Loss: 0.5514	LR: 0.020000
Training Epoch: 27 [23040/48700]	Loss: 0.5571	LR: 0.020000
Training Epoch: 27 [23296/48700]	Loss: 0.4760	LR: 0.020000
Training Epoch: 27 [23552/48700]	Loss: 0.5610	LR: 0.020000
Training Epoch: 27 [23808/48700]	Loss: 0.4929	LR: 0.020000
Training Epoch: 27 [24064/48700]	Loss: 0.4036	LR: 0.020000
Training Epoch: 27 [24320/48700]	Loss: 0.4429	LR: 0.020000
Training Epoch: 27 [24576/48700]	Loss: 0.4910	LR: 0.020000
Training Epoch: 27 [24832/48700]	Loss: 0.4778	LR: 0.020000
Training Epoch: 27 [25088/48700]	Loss: 0.4086	LR: 0.020000
Training Epoch: 27 [25344/48700]	Loss: 0.4613	LR: 0.020000
Training Epoch: 27 [25600/48700]	Loss: 0.4750	LR: 0.020000
Training Epoch: 27 [25856/48700]	Loss: 0.5646	LR: 0.020000
Training Epoch: 27 [26112/48700]	Loss: 0.6187	LR: 0.020000
Training Epoch: 27 [26368/48700]	Loss: 0.4710	LR: 0.020000
Training Epoch: 27 [26624/48700]	Loss: 0.5255	LR: 0.020000
Training Epoch: 27 [26880/48700]	Loss: 0.5317	LR: 0.020000
Training Epoch: 27 [27136/48700]	Loss: 0.4139	LR: 0.020000
Training Epoch: 27 [27392/48700]	Loss: 0.5196	LR: 0.020000
Training Epoch: 27 [27648/48700]	Loss: 0.4812	LR: 0.020000
Training Epoch: 27 [27904/48700]	Loss: 0.5259	LR: 0.020000
Training Epoch: 27 [28160/48700]	Loss: 0.5609	LR: 0.020000
Training Epoch: 27 [28416/48700]	Loss: 0.6073	LR: 0.020000
Training Epoch: 27 [28672/48700]	Loss: 0.6146	LR: 0.020000
Training Epoch: 27 [28928/48700]	Loss: 0.6671	LR: 0.020000
Training Epoch: 27 [29184/48700]	Loss: 0.5392	LR: 0.020000
Training Epoch: 27 [29440/48700]	Loss: 0.6267	LR: 0.020000
Training Epoch: 27 [29696/48700]	Loss: 0.5131	LR: 0.020000
Training Epoch: 27 [29952/48700]	Loss: 0.5633	LR: 0.020000
Training Epoch: 27 [30208/48700]	Loss: 0.5822	LR: 0.020000
Training Epoch: 27 [30464/48700]	Loss: 0.5848	LR: 0.020000
Training Epoch: 27 [30720/48700]	Loss: 0.5434	LR: 0.020000
Training Epoch: 27 [30976/48700]	Loss: 0.5923	LR: 0.020000
Training Epoch: 27 [31232/48700]	Loss: 0.4489	LR: 0.020000
Training Epoch: 27 [31488/48700]	Loss: 0.6605	LR: 0.020000
Training Epoch: 27 [31744/48700]	Loss: 0.6073	LR: 0.020000
Training Epoch: 27 [32000/48700]	Loss: 0.6802	LR: 0.020000
Training Epoch: 27 [32256/48700]	Loss: 0.4553	LR: 0.020000
Training Epoch: 27 [32512/48700]	Loss: 0.5877	LR: 0.020000
Training Epoch: 27 [32768/48700]	Loss: 0.4543	LR: 0.020000
Training Epoch: 27 [33024/48700]	Loss: 0.5546	LR: 0.020000
Training Epoch: 27 [33280/48700]	Loss: 0.4833	LR: 0.020000
Training Epoch: 27 [33536/48700]	Loss: 0.4002	LR: 0.020000
Training Epoch: 27 [33792/48700]	Loss: 0.4766	LR: 0.020000
Training Epoch: 27 [34048/48700]	Loss: 0.6387	LR: 0.020000
Training Epoch: 27 [34304/48700]	Loss: 0.4730	LR: 0.020000
Training Epoch: 27 [34560/48700]	Loss: 0.5132	LR: 0.020000
Training Epoch: 27 [34816/48700]	Loss: 0.5375	LR: 0.020000
Training Epoch: 27 [35072/48700]	Loss: 0.5367	LR: 0.020000
Training Epoch: 27 [35328/48700]	Loss: 0.5306	LR: 0.020000
Training Epoch: 27 [35584/48700]	Loss: 0.4420	LR: 0.020000
Training Epoch: 27 [35840/48700]	Loss: 0.4694	LR: 0.020000
Training Epoch: 27 [36096/48700]	Loss: 0.5985	LR: 0.020000
Training Epoch: 27 [36352/48700]	Loss: 0.5828	LR: 0.020000
Training Epoch: 27 [36608/48700]	Loss: 0.5165	LR: 0.020000
Training Epoch: 27 [36864/48700]	Loss: 0.5431	LR: 0.020000
Training Epoch: 27 [37120/48700]	Loss: 0.5299	LR: 0.020000
Training Epoch: 27 [37376/48700]	Loss: 0.4777	LR: 0.020000
Training Epoch: 27 [37632/48700]	Loss: 0.6806	LR: 0.020000
Training Epoch: 27 [37888/48700]	Loss: 0.6268	LR: 0.020000
Training Epoch: 27 [38144/48700]	Loss: 0.6150	LR: 0.020000
Training Epoch: 27 [38400/48700]	Loss: 0.6624	LR: 0.020000
Training Epoch: 27 [38656/48700]	Loss: 0.4719	LR: 0.020000
Training Epoch: 27 [38912/48700]	Loss: 0.4714	LR: 0.020000
Training Epoch: 27 [39168/48700]	Loss: 0.5370	LR: 0.020000
Training Epoch: 27 [39424/48700]	Loss: 0.6351	LR: 0.020000
Training Epoch: 27 [39680/48700]	Loss: 0.4752	LR: 0.020000
Training Epoch: 27 [39936/48700]	Loss: 0.6474	LR: 0.020000
Training Epoch: 27 [40192/48700]	Loss: 0.5020	LR: 0.020000
Training Epoch: 27 [40448/48700]	Loss: 0.5431	LR: 0.020000
Training Epoch: 27 [40704/48700]	Loss: 0.5376	LR: 0.020000
Training Epoch: 27 [40960/48700]	Loss: 0.5927	LR: 0.020000
Training Epoch: 27 [41216/48700]	Loss: 0.5842	LR: 0.020000
Training Epoch: 27 [41472/48700]	Loss: 0.6603	LR: 0.020000
Training Epoch: 27 [41728/48700]	Loss: 0.4677	LR: 0.020000
Training Epoch: 27 [41984/48700]	Loss: 0.5680	LR: 0.020000
Training Epoch: 27 [42240/48700]	Loss: 0.5788	LR: 0.020000
Training Epoch: 27 [42496/48700]	Loss: 0.4586	LR: 0.020000
Training Epoch: 27 [42752/48700]	Loss: 0.5756	LR: 0.020000
Training Epoch: 27 [43008/48700]	Loss: 0.5392	LR: 0.020000
Training Epoch: 27 [43264/48700]	Loss: 0.4944	LR: 0.020000
Training Epoch: 27 [43520/48700]	Loss: 0.5937	LR: 0.020000
Training Epoch: 27 [43776/48700]	Loss: 0.5526	LR: 0.020000
Training Epoch: 27 [44032/48700]	Loss: 0.6780	LR: 0.020000
Training Epoch: 27 [44288/48700]	Loss: 0.4937	LR: 0.020000
Training Epoch: 27 [44544/48700]	Loss: 0.5929	LR: 0.020000
Training Epoch: 27 [44800/48700]	Loss: 0.5568	LR: 0.020000
Training Epoch: 27 [45056/48700]	Loss: 0.6005	LR: 0.020000
Training Epoch: 27 [45312/48700]	Loss: 0.6974	LR: 0.020000
Training Epoch: 27 [45568/48700]	Loss: 0.4795	LR: 0.020000
Training Epoch: 27 [45824/48700]	Loss: 0.6041	LR: 0.020000
Training Epoch: 27 [46080/48700]	Loss: 0.4969	LR: 0.020000
Training Epoch: 27 [46336/48700]	Loss: 0.6608	LR: 0.020000
Training Epoch: 27 [46592/48700]	Loss: 0.5664	LR: 0.020000
Training Epoch: 27 [46848/48700]	Loss: 0.5465	LR: 0.020000
Training Epoch: 27 [47104/48700]	Loss: 0.6150	LR: 0.020000
Training Epoch: 27 [47360/48700]	Loss: 0.4912	LR: 0.020000
Training Epoch: 27 [47616/48700]	Loss: 0.4330	LR: 0.020000
Training Epoch: 27 [47872/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 27 [48128/48700]	Loss: 0.5571	LR: 0.020000
Training Epoch: 27 [48384/48700]	Loss: 0.4645	LR: 0.020000
Training Epoch: 27 [48640/48700]	Loss: 0.5814	LR: 0.020000
Training Epoch: 27 [48700/48700]	Loss: 0.7551	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5321, Train Accuracy: 0.8272
Epoch 27 training time consumed: 26.90s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0034, Accuracy: 0.7393, Time consumed:0.88s
Training Epoch: 28 [256/48700]	Loss: 0.4051	LR: 0.020000
Training Epoch: 28 [512/48700]	Loss: 0.5017	LR: 0.020000
Training Epoch: 28 [768/48700]	Loss: 0.5036	LR: 0.020000
Training Epoch: 28 [1024/48700]	Loss: 0.5139	LR: 0.020000
Training Epoch: 28 [1280/48700]	Loss: 0.5557	LR: 0.020000
Training Epoch: 28 [1536/48700]	Loss: 0.5414	LR: 0.020000
Training Epoch: 28 [1792/48700]	Loss: 0.4369	LR: 0.020000
Training Epoch: 28 [2048/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 28 [2304/48700]	Loss: 0.5584	LR: 0.020000
Training Epoch: 28 [2560/48700]	Loss: 0.4839	LR: 0.020000
Training Epoch: 28 [2816/48700]	Loss: 0.4759	LR: 0.020000
Training Epoch: 28 [3072/48700]	Loss: 0.5331	LR: 0.020000
Training Epoch: 28 [3328/48700]	Loss: 0.5314	LR: 0.020000
Training Epoch: 28 [3584/48700]	Loss: 0.4631	LR: 0.020000
Training Epoch: 28 [3840/48700]	Loss: 0.4744	LR: 0.020000
Training Epoch: 28 [4096/48700]	Loss: 0.4350	LR: 0.020000
Training Epoch: 28 [4352/48700]	Loss: 0.4730	LR: 0.020000
Training Epoch: 28 [4608/48700]	Loss: 0.3954	LR: 0.020000
Training Epoch: 28 [4864/48700]	Loss: 0.5259	LR: 0.020000
Training Epoch: 28 [5120/48700]	Loss: 0.5030	LR: 0.020000
Training Epoch: 28 [5376/48700]	Loss: 0.4730	LR: 0.020000
Training Epoch: 28 [5632/48700]	Loss: 0.5630	LR: 0.020000
Training Epoch: 28 [5888/48700]	Loss: 0.6524	LR: 0.020000
Training Epoch: 28 [6144/48700]	Loss: 0.4909	LR: 0.020000
Training Epoch: 28 [6400/48700]	Loss: 0.4365	LR: 0.020000
Training Epoch: 28 [6656/48700]	Loss: 0.4658	LR: 0.020000
Training Epoch: 28 [6912/48700]	Loss: 0.4962	LR: 0.020000
Training Epoch: 28 [7168/48700]	Loss: 0.4606	LR: 0.020000
Training Epoch: 28 [7424/48700]	Loss: 0.4406	LR: 0.020000
Training Epoch: 28 [7680/48700]	Loss: 0.5457	LR: 0.020000
Training Epoch: 28 [7936/48700]	Loss: 0.5395	LR: 0.020000
Training Epoch: 28 [8192/48700]	Loss: 0.5110	LR: 0.020000
Training Epoch: 28 [8448/48700]	Loss: 0.5343	LR: 0.020000
Training Epoch: 28 [8704/48700]	Loss: 0.4315	LR: 0.020000
Training Epoch: 28 [8960/48700]	Loss: 0.5594	LR: 0.020000
Training Epoch: 28 [9216/48700]	Loss: 0.4936	LR: 0.020000
Training Epoch: 28 [9472/48700]	Loss: 0.5461	LR: 0.020000
Training Epoch: 28 [9728/48700]	Loss: 0.3932	LR: 0.020000
Training Epoch: 28 [9984/48700]	Loss: 0.4772	LR: 0.020000
Training Epoch: 28 [10240/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 28 [10496/48700]	Loss: 0.6166	LR: 0.020000
Training Epoch: 28 [10752/48700]	Loss: 0.5586	LR: 0.020000
Training Epoch: 28 [11008/48700]	Loss: 0.5141	LR: 0.020000
Training Epoch: 28 [11264/48700]	Loss: 0.4820	LR: 0.020000
Training Epoch: 28 [11520/48700]	Loss: 0.5600	LR: 0.020000
Training Epoch: 28 [11776/48700]	Loss: 0.5219	LR: 0.020000
Training Epoch: 28 [12032/48700]	Loss: 0.5992	LR: 0.020000
Training Epoch: 28 [12288/48700]	Loss: 0.5700	LR: 0.020000
Training Epoch: 28 [12544/48700]	Loss: 0.5730	LR: 0.020000
Training Epoch: 28 [12800/48700]	Loss: 0.5510	LR: 0.020000
Training Epoch: 28 [13056/48700]	Loss: 0.5713	LR: 0.020000
Training Epoch: 28 [13312/48700]	Loss: 0.4963	LR: 0.020000
Training Epoch: 28 [13568/48700]	Loss: 0.4808	LR: 0.020000
Training Epoch: 28 [13824/48700]	Loss: 0.4257	LR: 0.020000
Training Epoch: 28 [14080/48700]	Loss: 0.5180	LR: 0.020000
Training Epoch: 28 [14336/48700]	Loss: 0.5207	LR: 0.020000
Training Epoch: 28 [14592/48700]	Loss: 0.4312	LR: 0.020000
Training Epoch: 28 [14848/48700]	Loss: 0.5938	LR: 0.020000
Training Epoch: 28 [15104/48700]	Loss: 0.5011	LR: 0.020000
Training Epoch: 28 [15360/48700]	Loss: 0.4992	LR: 0.020000
Training Epoch: 28 [15616/48700]	Loss: 0.5051	LR: 0.020000
Training Epoch: 28 [15872/48700]	Loss: 0.3869	LR: 0.020000
Training Epoch: 28 [16128/48700]	Loss: 0.5154	LR: 0.020000
Training Epoch: 28 [16384/48700]	Loss: 0.5411	LR: 0.020000
Training Epoch: 28 [16640/48700]	Loss: 0.5492	LR: 0.020000
Training Epoch: 28 [16896/48700]	Loss: 0.4680	LR: 0.020000
Training Epoch: 28 [17152/48700]	Loss: 0.4575	LR: 0.020000
Training Epoch: 28 [17408/48700]	Loss: 0.4496	LR: 0.020000
Training Epoch: 28 [17664/48700]	Loss: 0.5360	LR: 0.020000
Training Epoch: 28 [17920/48700]	Loss: 0.5222	LR: 0.020000
Training Epoch: 28 [18176/48700]	Loss: 0.4777	LR: 0.020000
Training Epoch: 28 [18432/48700]	Loss: 0.5796	LR: 0.020000
Training Epoch: 28 [18688/48700]	Loss: 0.4961	LR: 0.020000
Training Epoch: 28 [18944/48700]	Loss: 0.5353	LR: 0.020000
Training Epoch: 28 [19200/48700]	Loss: 0.4781	LR: 0.020000
Training Epoch: 28 [19456/48700]	Loss: 0.4735	LR: 0.020000
Training Epoch: 28 [19712/48700]	Loss: 0.4539	LR: 0.020000
Training Epoch: 28 [19968/48700]	Loss: 0.4637	LR: 0.020000
Training Epoch: 28 [20224/48700]	Loss: 0.5356	LR: 0.020000
Training Epoch: 28 [20480/48700]	Loss: 0.5829	LR: 0.020000
Training Epoch: 28 [20736/48700]	Loss: 0.6185	LR: 0.020000
Training Epoch: 28 [20992/48700]	Loss: 0.5331	LR: 0.020000
Training Epoch: 28 [21248/48700]	Loss: 0.5138	LR: 0.020000
Training Epoch: 28 [21504/48700]	Loss: 0.5242	LR: 0.020000
Training Epoch: 28 [21760/48700]	Loss: 0.5468	LR: 0.020000
Training Epoch: 28 [22016/48700]	Loss: 0.5196	LR: 0.020000
Training Epoch: 28 [22272/48700]	Loss: 0.5036	LR: 0.020000
Training Epoch: 28 [22528/48700]	Loss: 0.5473	LR: 0.020000
Training Epoch: 28 [22784/48700]	Loss: 0.5241	LR: 0.020000
Training Epoch: 28 [23040/48700]	Loss: 0.4607	LR: 0.020000
Training Epoch: 28 [23296/48700]	Loss: 0.4295	LR: 0.020000
Training Epoch: 28 [23552/48700]	Loss: 0.5202	LR: 0.020000
Training Epoch: 28 [23808/48700]	Loss: 0.4466	LR: 0.020000
Training Epoch: 28 [24064/48700]	Loss: 0.5914	LR: 0.020000
Training Epoch: 28 [24320/48700]	Loss: 0.5261	LR: 0.020000
Training Epoch: 28 [24576/48700]	Loss: 0.4211	LR: 0.020000
Training Epoch: 28 [24832/48700]	Loss: 0.5076	LR: 0.020000
Training Epoch: 28 [25088/48700]	Loss: 0.5517	LR: 0.020000
Training Epoch: 28 [25344/48700]	Loss: 0.4957	LR: 0.020000
Training Epoch: 28 [25600/48700]	Loss: 0.5252	LR: 0.020000
Training Epoch: 28 [25856/48700]	Loss: 0.5895	LR: 0.020000
Training Epoch: 28 [26112/48700]	Loss: 0.5550	LR: 0.020000
Training Epoch: 28 [26368/48700]	Loss: 0.5040	LR: 0.020000
Training Epoch: 28 [26624/48700]	Loss: 0.5668	LR: 0.020000
Training Epoch: 28 [26880/48700]	Loss: 0.5861	LR: 0.020000
Training Epoch: 28 [27136/48700]	Loss: 0.6119	LR: 0.020000
Training Epoch: 28 [27392/48700]	Loss: 0.5722	LR: 0.020000
Training Epoch: 28 [27648/48700]	Loss: 0.4919	LR: 0.020000
Training Epoch: 28 [27904/48700]	Loss: 0.4673	LR: 0.020000
Training Epoch: 28 [28160/48700]	Loss: 0.5848	LR: 0.020000
Training Epoch: 28 [28416/48700]	Loss: 0.5829	LR: 0.020000
Training Epoch: 28 [28672/48700]	Loss: 0.4946	LR: 0.020000
Training Epoch: 28 [28928/48700]	Loss: 0.5600	LR: 0.020000
Training Epoch: 28 [29184/48700]	Loss: 0.4543	LR: 0.020000
Training Epoch: 28 [29440/48700]	Loss: 0.5318	LR: 0.020000
Training Epoch: 28 [29696/48700]	Loss: 0.4914	LR: 0.020000
Training Epoch: 28 [29952/48700]	Loss: 0.5396	LR: 0.020000
Training Epoch: 28 [30208/48700]	Loss: 0.4787	LR: 0.020000
Training Epoch: 28 [30464/48700]	Loss: 0.5155	LR: 0.020000
Training Epoch: 28 [30720/48700]	Loss: 0.5138	LR: 0.020000
Training Epoch: 28 [30976/48700]	Loss: 0.5129	LR: 0.020000
Training Epoch: 28 [31232/48700]	Loss: 0.6182	LR: 0.020000
Training Epoch: 28 [31488/48700]	Loss: 0.5889	LR: 0.020000
Training Epoch: 28 [31744/48700]	Loss: 0.5082	LR: 0.020000
Training Epoch: 28 [32000/48700]	Loss: 0.5600	LR: 0.020000
Training Epoch: 28 [32256/48700]	Loss: 0.5575	LR: 0.020000
Training Epoch: 28 [32512/48700]	Loss: 0.5553	LR: 0.020000
Training Epoch: 28 [32768/48700]	Loss: 0.5230	LR: 0.020000
Training Epoch: 28 [33024/48700]	Loss: 0.5154	LR: 0.020000
Training Epoch: 28 [33280/48700]	Loss: 0.5256	LR: 0.020000
Training Epoch: 28 [33536/48700]	Loss: 0.6216	LR: 0.020000
Training Epoch: 28 [33792/48700]	Loss: 0.5691	LR: 0.020000
Training Epoch: 28 [34048/48700]	Loss: 0.5155	LR: 0.020000
Training Epoch: 28 [34304/48700]	Loss: 0.5939	LR: 0.020000
Training Epoch: 28 [34560/48700]	Loss: 0.4617	LR: 0.020000
Training Epoch: 28 [34816/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 28 [35072/48700]	Loss: 0.5647	LR: 0.020000
Training Epoch: 28 [35328/48700]	Loss: 0.5751	LR: 0.020000
Training Epoch: 28 [35584/48700]	Loss: 0.4625	LR: 0.020000
Training Epoch: 28 [35840/48700]	Loss: 0.5874	LR: 0.020000
Training Epoch: 28 [36096/48700]	Loss: 0.4757	LR: 0.020000
Training Epoch: 28 [36352/48700]	Loss: 0.5893	LR: 0.020000
Training Epoch: 28 [36608/48700]	Loss: 0.5596	LR: 0.020000
Training Epoch: 28 [36864/48700]	Loss: 0.5893	LR: 0.020000
Training Epoch: 28 [37120/48700]	Loss: 0.5208	LR: 0.020000
Training Epoch: 28 [37376/48700]	Loss: 0.5693	LR: 0.020000
Training Epoch: 28 [37632/48700]	Loss: 0.6557	LR: 0.020000
Training Epoch: 28 [37888/48700]	Loss: 0.5542	LR: 0.020000
Training Epoch: 28 [38144/48700]	Loss: 0.5391	LR: 0.020000
Training Epoch: 28 [38400/48700]	Loss: 0.5117	LR: 0.020000
Training Epoch: 28 [38656/48700]	Loss: 0.5149	LR: 0.020000
Training Epoch: 28 [38912/48700]	Loss: 0.4693	LR: 0.020000
Training Epoch: 28 [39168/48700]	Loss: 0.6149	LR: 0.020000
Training Epoch: 28 [39424/48700]	Loss: 0.4383	LR: 0.020000
Training Epoch: 28 [39680/48700]	Loss: 0.5511	LR: 0.020000
Training Epoch: 28 [39936/48700]	Loss: 0.6541	LR: 0.020000
Training Epoch: 28 [40192/48700]	Loss: 0.6281	LR: 0.020000
Training Epoch: 28 [40448/48700]	Loss: 0.5239	LR: 0.020000
Training Epoch: 28 [40704/48700]	Loss: 0.5250	LR: 0.020000
Training Epoch: 28 [40960/48700]	Loss: 0.6228	LR: 0.020000
Training Epoch: 28 [41216/48700]	Loss: 0.4531	LR: 0.020000
Training Epoch: 28 [41472/48700]	Loss: 0.5631	LR: 0.020000
Training Epoch: 28 [41728/48700]	Loss: 0.6020	LR: 0.020000
Training Epoch: 28 [41984/48700]	Loss: 0.5486	LR: 0.020000
Training Epoch: 28 [42240/48700]	Loss: 0.5186	LR: 0.020000
Training Epoch: 28 [42496/48700]	Loss: 0.5694	LR: 0.020000
Training Epoch: 28 [42752/48700]	Loss: 0.6294	LR: 0.020000
Training Epoch: 28 [43008/48700]	Loss: 0.5621	LR: 0.020000
Training Epoch: 28 [43264/48700]	Loss: 0.5893	LR: 0.020000
Training Epoch: 28 [43520/48700]	Loss: 0.5026	LR: 0.020000
Training Epoch: 28 [43776/48700]	Loss: 0.4769	LR: 0.020000
Training Epoch: 28 [44032/48700]	Loss: 0.5702	LR: 0.020000
Training Epoch: 28 [44288/48700]	Loss: 0.5602	LR: 0.020000
Training Epoch: 28 [44544/48700]	Loss: 0.5597	LR: 0.020000
Training Epoch: 28 [44800/48700]	Loss: 0.5690	LR: 0.020000
Training Epoch: 28 [45056/48700]	Loss: 0.5292	LR: 0.020000
Training Epoch: 28 [45312/48700]	Loss: 0.6334	LR: 0.020000
Training Epoch: 28 [45568/48700]	Loss: 0.5466	LR: 0.020000
Training Epoch: 28 [45824/48700]	Loss: 0.4975	LR: 0.020000
Training Epoch: 28 [46080/48700]	Loss: 0.5230	LR: 0.020000
Training Epoch: 28 [46336/48700]	Loss: 0.4994	LR: 0.020000
Training Epoch: 28 [46592/48700]	Loss: 0.5237	LR: 0.020000
Training Epoch: 28 [46848/48700]	Loss: 0.5981	LR: 0.020000
Training Epoch: 28 [47104/48700]	Loss: 0.4890	LR: 0.020000
Training Epoch: 28 [47360/48700]	Loss: 0.5838	LR: 0.020000
Training Epoch: 28 [47616/48700]	Loss: 0.5884	LR: 0.020000
Training Epoch: 28 [47872/48700]	Loss: 0.4920	LR: 0.020000
Training Epoch: 28 [48128/48700]	Loss: 0.5985	LR: 0.020000
Training Epoch: 28 [48384/48700]	Loss: 0.5006	LR: 0.020000
Training Epoch: 28 [48640/48700]	Loss: 0.4789	LR: 0.020000
Training Epoch: 28 [48700/48700]	Loss: 0.7031	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5253, Train Accuracy: 0.8284
Epoch 28 training time consumed: 27.07s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0035, Accuracy: 0.7401, Time consumed:0.91s
Training Epoch: 29 [256/48700]	Loss: 0.4000	LR: 0.020000
Training Epoch: 29 [512/48700]	Loss: 0.4757	LR: 0.020000
Training Epoch: 29 [768/48700]	Loss: 0.4712	LR: 0.020000
Training Epoch: 29 [1024/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 29 [1280/48700]	Loss: 0.3967	LR: 0.020000
Training Epoch: 29 [1536/48700]	Loss: 0.4747	LR: 0.020000
Training Epoch: 29 [1792/48700]	Loss: 0.4936	LR: 0.020000
Training Epoch: 29 [2048/48700]	Loss: 0.5363	LR: 0.020000
Training Epoch: 29 [2304/48700]	Loss: 0.4731	LR: 0.020000
Training Epoch: 29 [2560/48700]	Loss: 0.5222	LR: 0.020000
Training Epoch: 29 [2816/48700]	Loss: 0.5297	LR: 0.020000
Training Epoch: 29 [3072/48700]	Loss: 0.5200	LR: 0.020000
Training Epoch: 29 [3328/48700]	Loss: 0.5157	LR: 0.020000
Training Epoch: 29 [3584/48700]	Loss: 0.4549	LR: 0.020000
Training Epoch: 29 [3840/48700]	Loss: 0.5534	LR: 0.020000
Training Epoch: 29 [4096/48700]	Loss: 0.5038	LR: 0.020000
Training Epoch: 29 [4352/48700]	Loss: 0.5402	LR: 0.020000
Training Epoch: 29 [4608/48700]	Loss: 0.5258	LR: 0.020000
Training Epoch: 29 [4864/48700]	Loss: 0.4699	LR: 0.020000
Training Epoch: 29 [5120/48700]	Loss: 0.5230	LR: 0.020000
Training Epoch: 29 [5376/48700]	Loss: 0.4327	LR: 0.020000
Training Epoch: 29 [5632/48700]	Loss: 0.4939	LR: 0.020000
Training Epoch: 29 [5888/48700]	Loss: 0.4796	LR: 0.020000
Training Epoch: 29 [6144/48700]	Loss: 0.5067	LR: 0.020000
Training Epoch: 29 [6400/48700]	Loss: 0.5446	LR: 0.020000
Training Epoch: 29 [6656/48700]	Loss: 0.4944	LR: 0.020000
Training Epoch: 29 [6912/48700]	Loss: 0.4779	LR: 0.020000
Training Epoch: 29 [7168/48700]	Loss: 0.4804	LR: 0.020000
Training Epoch: 29 [7424/48700]	Loss: 0.6179	LR: 0.020000
Training Epoch: 29 [7680/48700]	Loss: 0.5362	LR: 0.020000
Training Epoch: 29 [7936/48700]	Loss: 0.5214	LR: 0.020000
Training Epoch: 29 [8192/48700]	Loss: 0.5344	LR: 0.020000
Training Epoch: 29 [8448/48700]	Loss: 0.5974	LR: 0.020000
Training Epoch: 29 [8704/48700]	Loss: 0.5585	LR: 0.020000
Training Epoch: 29 [8960/48700]	Loss: 0.4283	LR: 0.020000
Training Epoch: 29 [9216/48700]	Loss: 0.4867	LR: 0.020000
Training Epoch: 29 [9472/48700]	Loss: 0.4378	LR: 0.020000
Training Epoch: 29 [9728/48700]	Loss: 0.5510	LR: 0.020000
Training Epoch: 29 [9984/48700]	Loss: 0.4843	LR: 0.020000
Training Epoch: 29 [10240/48700]	Loss: 0.5949	LR: 0.020000
Training Epoch: 29 [10496/48700]	Loss: 0.4623	LR: 0.020000
Training Epoch: 29 [10752/48700]	Loss: 0.5537	LR: 0.020000
Training Epoch: 29 [11008/48700]	Loss: 0.6211	LR: 0.020000
Training Epoch: 29 [11264/48700]	Loss: 0.5156	LR: 0.020000
Training Epoch: 29 [11520/48700]	Loss: 0.5071	LR: 0.020000
Training Epoch: 29 [11776/48700]	Loss: 0.5761	LR: 0.020000
Training Epoch: 29 [12032/48700]	Loss: 0.4424	LR: 0.020000
Training Epoch: 29 [12288/48700]	Loss: 0.4600	LR: 0.020000
Training Epoch: 29 [12544/48700]	Loss: 0.4953	LR: 0.020000
Training Epoch: 29 [12800/48700]	Loss: 0.4482	LR: 0.020000
Training Epoch: 29 [13056/48700]	Loss: 0.4764	LR: 0.020000
Training Epoch: 29 [13312/48700]	Loss: 0.4729	LR: 0.020000
Training Epoch: 29 [13568/48700]	Loss: 0.5750	LR: 0.020000
Training Epoch: 29 [13824/48700]	Loss: 0.4616	LR: 0.020000
Training Epoch: 29 [14080/48700]	Loss: 0.5630	LR: 0.020000
Training Epoch: 29 [14336/48700]	Loss: 0.5330	LR: 0.020000
Training Epoch: 29 [14592/48700]	Loss: 0.5654	LR: 0.020000
Training Epoch: 29 [14848/48700]	Loss: 0.5634	LR: 0.020000
Training Epoch: 29 [15104/48700]	Loss: 0.4959	LR: 0.020000
Training Epoch: 29 [15360/48700]	Loss: 0.5043	LR: 0.020000
Training Epoch: 29 [15616/48700]	Loss: 0.5305	LR: 0.020000
Training Epoch: 29 [15872/48700]	Loss: 0.5867	LR: 0.020000
Training Epoch: 29 [16128/48700]	Loss: 0.4874	LR: 0.020000
Training Epoch: 29 [16384/48700]	Loss: 0.5174	LR: 0.020000
Training Epoch: 29 [16640/48700]	Loss: 0.5040	LR: 0.020000
Training Epoch: 29 [16896/48700]	Loss: 0.4625	LR: 0.020000
Training Epoch: 29 [17152/48700]	Loss: 0.4196	LR: 0.020000
Training Epoch: 29 [17408/48700]	Loss: 0.4596	LR: 0.020000
Training Epoch: 29 [17664/48700]	Loss: 0.4735	LR: 0.020000
Training Epoch: 29 [17920/48700]	Loss: 0.4233	LR: 0.020000
Training Epoch: 29 [18176/48700]	Loss: 0.4621	LR: 0.020000
Training Epoch: 29 [18432/48700]	Loss: 0.5615	LR: 0.020000
Training Epoch: 29 [18688/48700]	Loss: 0.5155	LR: 0.020000
Training Epoch: 29 [18944/48700]	Loss: 0.6346	LR: 0.020000
Training Epoch: 29 [19200/48700]	Loss: 0.4467	LR: 0.020000
Training Epoch: 29 [19456/48700]	Loss: 0.4599	LR: 0.020000
Training Epoch: 29 [19712/48700]	Loss: 0.5709	LR: 0.020000
Training Epoch: 29 [19968/48700]	Loss: 0.5286	LR: 0.020000
Training Epoch: 29 [20224/48700]	Loss: 0.4932	LR: 0.020000
Training Epoch: 29 [20480/48700]	Loss: 0.4640	LR: 0.020000
Training Epoch: 29 [20736/48700]	Loss: 0.4240	LR: 0.020000
Training Epoch: 29 [20992/48700]	Loss: 0.4294	LR: 0.020000
Training Epoch: 29 [21248/48700]	Loss: 0.3566	LR: 0.020000
Training Epoch: 29 [21504/48700]	Loss: 0.5208	LR: 0.020000
Training Epoch: 29 [21760/48700]	Loss: 0.4336	LR: 0.020000
Training Epoch: 29 [22016/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 29 [22272/48700]	Loss: 0.5127	LR: 0.020000
Training Epoch: 29 [22528/48700]	Loss: 0.4541	LR: 0.020000
Training Epoch: 29 [22784/48700]	Loss: 0.6395	LR: 0.020000
Training Epoch: 29 [23040/48700]	Loss: 0.5902	LR: 0.020000
Training Epoch: 29 [23296/48700]	Loss: 0.4554	LR: 0.020000
Training Epoch: 29 [23552/48700]	Loss: 0.5112	LR: 0.020000
Training Epoch: 29 [23808/48700]	Loss: 0.5004	LR: 0.020000
Training Epoch: 29 [24064/48700]	Loss: 0.4524	LR: 0.020000
Training Epoch: 29 [24320/48700]	Loss: 0.4430	LR: 0.020000
Training Epoch: 29 [24576/48700]	Loss: 0.4539	LR: 0.020000
Training Epoch: 29 [24832/48700]	Loss: 0.5546	LR: 0.020000
Training Epoch: 29 [25088/48700]	Loss: 0.5214	LR: 0.020000
Training Epoch: 29 [25344/48700]	Loss: 0.5295	LR: 0.020000
Training Epoch: 29 [25600/48700]	Loss: 0.4722	LR: 0.020000
Training Epoch: 29 [25856/48700]	Loss: 0.5317	LR: 0.020000
Training Epoch: 29 [26112/48700]	Loss: 0.4958	LR: 0.020000
Training Epoch: 29 [26368/48700]	Loss: 0.4421	LR: 0.020000
Training Epoch: 29 [26624/48700]	Loss: 0.4448	LR: 0.020000
Training Epoch: 29 [26880/48700]	Loss: 0.5978	LR: 0.020000
Training Epoch: 29 [27136/48700]	Loss: 0.6039	LR: 0.020000
Training Epoch: 29 [27392/48700]	Loss: 0.5370	LR: 0.020000
Training Epoch: 29 [27648/48700]	Loss: 0.4246	LR: 0.020000
Training Epoch: 29 [27904/48700]	Loss: 0.5671	LR: 0.020000
Training Epoch: 29 [28160/48700]	Loss: 0.6902	LR: 0.020000
Training Epoch: 29 [28416/48700]	Loss: 0.4976	LR: 0.020000
Training Epoch: 29 [28672/48700]	Loss: 0.5195	LR: 0.020000
Training Epoch: 29 [28928/48700]	Loss: 0.5605	LR: 0.020000
Training Epoch: 29 [29184/48700]	Loss: 0.4840	LR: 0.020000
Training Epoch: 29 [29440/48700]	Loss: 0.4454	LR: 0.020000
Training Epoch: 29 [29696/48700]	Loss: 0.5805	LR: 0.020000
Training Epoch: 29 [29952/48700]	Loss: 0.4944	LR: 0.020000
Training Epoch: 29 [30208/48700]	Loss: 0.4880	LR: 0.020000
Training Epoch: 29 [30464/48700]	Loss: 0.5314	LR: 0.020000
Training Epoch: 29 [30720/48700]	Loss: 0.4114	LR: 0.020000
Training Epoch: 29 [30976/48700]	Loss: 0.4849	LR: 0.020000
Training Epoch: 29 [31232/48700]	Loss: 0.5452	LR: 0.020000
Training Epoch: 29 [31488/48700]	Loss: 0.5100	LR: 0.020000
Training Epoch: 29 [31744/48700]	Loss: 0.6291	LR: 0.020000
Training Epoch: 29 [32000/48700]	Loss: 0.4672	LR: 0.020000
Training Epoch: 29 [32256/48700]	Loss: 0.4636	LR: 0.020000
Training Epoch: 29 [32512/48700]	Loss: 0.5233	LR: 0.020000
Training Epoch: 29 [32768/48700]	Loss: 0.6033	LR: 0.020000
Training Epoch: 29 [33024/48700]	Loss: 0.5817	LR: 0.020000
Training Epoch: 29 [33280/48700]	Loss: 0.4745	LR: 0.020000
Training Epoch: 29 [33536/48700]	Loss: 0.4367	LR: 0.020000
Training Epoch: 29 [33792/48700]	Loss: 0.5648	LR: 0.020000
Training Epoch: 29 [34048/48700]	Loss: 0.4369	LR: 0.020000
Training Epoch: 29 [34304/48700]	Loss: 0.5097	LR: 0.020000
Training Epoch: 29 [34560/48700]	Loss: 0.5492	LR: 0.020000
Training Epoch: 29 [34816/48700]	Loss: 0.4925	LR: 0.020000
Training Epoch: 29 [35072/48700]	Loss: 0.5326	LR: 0.020000
Training Epoch: 29 [35328/48700]	Loss: 0.5180	LR: 0.020000
Training Epoch: 29 [35584/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 29 [35840/48700]	Loss: 0.4686	LR: 0.020000
Training Epoch: 29 [36096/48700]	Loss: 0.5261	LR: 0.020000
Training Epoch: 29 [36352/48700]	Loss: 0.5005	LR: 0.020000
Training Epoch: 29 [36608/48700]	Loss: 0.4739	LR: 0.020000
Training Epoch: 29 [36864/48700]	Loss: 0.5321	LR: 0.020000
Training Epoch: 29 [37120/48700]	Loss: 0.5197	LR: 0.020000
Training Epoch: 29 [37376/48700]	Loss: 0.6624	LR: 0.020000
Training Epoch: 29 [37632/48700]	Loss: 0.6821	LR: 0.020000
Training Epoch: 29 [37888/48700]	Loss: 0.6844	LR: 0.020000
Training Epoch: 29 [38144/48700]	Loss: 0.5098	LR: 0.020000
Training Epoch: 29 [38400/48700]	Loss: 0.5913	LR: 0.020000
Training Epoch: 29 [38656/48700]	Loss: 0.4892	LR: 0.020000
Training Epoch: 29 [38912/48700]	Loss: 0.5902	LR: 0.020000
Training Epoch: 29 [39168/48700]	Loss: 0.5343	LR: 0.020000
Training Epoch: 29 [39424/48700]	Loss: 0.5568	LR: 0.020000
Training Epoch: 29 [39680/48700]	Loss: 0.5544	LR: 0.020000
Training Epoch: 29 [39936/48700]	Loss: 0.4546	LR: 0.020000
Training Epoch: 29 [40192/48700]	Loss: 0.4509	LR: 0.020000
Training Epoch: 29 [40448/48700]	Loss: 0.5166	LR: 0.020000
Training Epoch: 29 [40704/48700]	Loss: 0.5544	LR: 0.020000
Training Epoch: 29 [40960/48700]	Loss: 0.5734	LR: 0.020000
Training Epoch: 29 [41216/48700]	Loss: 0.5238	LR: 0.020000
Training Epoch: 29 [41472/48700]	Loss: 0.4860	LR: 0.020000
Training Epoch: 29 [41728/48700]	Loss: 0.5813	LR: 0.020000
Training Epoch: 29 [41984/48700]	Loss: 0.5126	LR: 0.020000
Training Epoch: 29 [42240/48700]	Loss: 0.5102	LR: 0.020000
Training Epoch: 29 [42496/48700]	Loss: 0.5228	LR: 0.020000
Training Epoch: 29 [42752/48700]	Loss: 0.5202	LR: 0.020000
Training Epoch: 29 [43008/48700]	Loss: 0.5523	LR: 0.020000
Training Epoch: 29 [43264/48700]	Loss: 0.4718	LR: 0.020000
Training Epoch: 29 [43520/48700]	Loss: 0.5897	LR: 0.020000
Training Epoch: 29 [43776/48700]	Loss: 0.5817	LR: 0.020000
Training Epoch: 29 [44032/48700]	Loss: 0.5684	LR: 0.020000
Training Epoch: 29 [44288/48700]	Loss: 0.5091	LR: 0.020000
Training Epoch: 29 [44544/48700]	Loss: 0.5288	LR: 0.020000
Training Epoch: 29 [44800/48700]	Loss: 0.4840	LR: 0.020000
Training Epoch: 29 [45056/48700]	Loss: 0.4917	LR: 0.020000
Training Epoch: 29 [45312/48700]	Loss: 0.4383	LR: 0.020000
Training Epoch: 29 [45568/48700]	Loss: 0.6026	LR: 0.020000
Training Epoch: 29 [45824/48700]	Loss: 0.4447	LR: 0.020000
Training Epoch: 29 [46080/48700]	Loss: 0.5480	LR: 0.020000
Training Epoch: 29 [46336/48700]	Loss: 0.5828	LR: 0.020000
Training Epoch: 29 [46592/48700]	Loss: 0.5074	LR: 0.020000
Training Epoch: 29 [46848/48700]	Loss: 0.5663	LR: 0.020000
Training Epoch: 29 [47104/48700]	Loss: 0.5786	LR: 0.020000
Training Epoch: 29 [47360/48700]	Loss: 0.6187	LR: 0.020000
Training Epoch: 29 [47616/48700]	Loss: 0.5950	LR: 0.020000
Training Epoch: 29 [47872/48700]	Loss: 0.6029	LR: 0.020000
Training Epoch: 29 [48128/48700]	Loss: 0.6334	LR: 0.020000
Training Epoch: 29 [48384/48700]	Loss: 0.5985	LR: 0.020000
Training Epoch: 29 [48640/48700]	Loss: 0.4878	LR: 0.020000
Training Epoch: 29 [48700/48700]	Loss: 0.5679	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5150, Train Accuracy: 0.8333
Epoch 29 training time consumed: 26.87s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0037, Accuracy: 0.7360, Time consumed:0.91s
Training Epoch: 30 [256/48700]	Loss: 0.5013	LR: 0.004000
Training Epoch: 30 [512/48700]	Loss: 0.4809	LR: 0.004000
Training Epoch: 30 [768/48700]	Loss: 0.5963	LR: 0.004000
Training Epoch: 30 [1024/48700]	Loss: 0.5478	LR: 0.004000
Training Epoch: 30 [1280/48700]	Loss: 0.4827	LR: 0.004000
Training Epoch: 30 [1536/48700]	Loss: 0.5128	LR: 0.004000
Training Epoch: 30 [1792/48700]	Loss: 0.4323	LR: 0.004000
Training Epoch: 30 [2048/48700]	Loss: 0.4370	LR: 0.004000
Training Epoch: 30 [2304/48700]	Loss: 0.5365	LR: 0.004000
Training Epoch: 30 [2560/48700]	Loss: 0.3231	LR: 0.004000
Training Epoch: 30 [2816/48700]	Loss: 0.4747	LR: 0.004000
Training Epoch: 30 [3072/48700]	Loss: 0.3771	LR: 0.004000
Training Epoch: 30 [3328/48700]	Loss: 0.5027	LR: 0.004000
Training Epoch: 30 [3584/48700]	Loss: 0.4339	LR: 0.004000
Training Epoch: 30 [3840/48700]	Loss: 0.5292	LR: 0.004000
Training Epoch: 30 [4096/48700]	Loss: 0.4111	LR: 0.004000
Training Epoch: 30 [4352/48700]	Loss: 0.4259	LR: 0.004000
Training Epoch: 30 [4608/48700]	Loss: 0.4808	LR: 0.004000
Training Epoch: 30 [4864/48700]	Loss: 0.5413	LR: 0.004000
Training Epoch: 30 [5120/48700]	Loss: 0.4030	LR: 0.004000
Training Epoch: 30 [5376/48700]	Loss: 0.4661	LR: 0.004000
Training Epoch: 30 [5632/48700]	Loss: 0.4124	LR: 0.004000
Training Epoch: 30 [5888/48700]	Loss: 0.4211	LR: 0.004000
Training Epoch: 30 [6144/48700]	Loss: 0.4354	LR: 0.004000
Training Epoch: 30 [6400/48700]	Loss: 0.4240	LR: 0.004000
Training Epoch: 30 [6656/48700]	Loss: 0.4211	LR: 0.004000
Training Epoch: 30 [6912/48700]	Loss: 0.4541	LR: 0.004000
Training Epoch: 30 [7168/48700]	Loss: 0.2909	LR: 0.004000
Training Epoch: 30 [7424/48700]	Loss: 0.4332	LR: 0.004000
Training Epoch: 30 [7680/48700]	Loss: 0.4135	LR: 0.004000
Training Epoch: 30 [7936/48700]	Loss: 0.3594	LR: 0.004000
Training Epoch: 30 [8192/48700]	Loss: 0.3949	LR: 0.004000
Training Epoch: 30 [8448/48700]	Loss: 0.4704	LR: 0.004000
Training Epoch: 30 [8704/48700]	Loss: 0.4299	LR: 0.004000
Training Epoch: 30 [8960/48700]	Loss: 0.4209	LR: 0.004000
Training Epoch: 30 [9216/48700]	Loss: 0.4266	LR: 0.004000
Training Epoch: 30 [9472/48700]	Loss: 0.4687	LR: 0.004000
Training Epoch: 30 [9728/48700]	Loss: 0.3969	LR: 0.004000
Training Epoch: 30 [9984/48700]	Loss: 0.5140	LR: 0.004000
Training Epoch: 30 [10240/48700]	Loss: 0.4652	LR: 0.004000
Training Epoch: 30 [10496/48700]	Loss: 0.5185	LR: 0.004000
Training Epoch: 30 [10752/48700]	Loss: 0.3765	LR: 0.004000
Training Epoch: 30 [11008/48700]	Loss: 0.3570	LR: 0.004000
Training Epoch: 30 [11264/48700]	Loss: 0.3778	LR: 0.004000
Training Epoch: 30 [11520/48700]	Loss: 0.4303	LR: 0.004000
Training Epoch: 30 [11776/48700]	Loss: 0.4650	LR: 0.004000
Training Epoch: 30 [12032/48700]	Loss: 0.3939	LR: 0.004000
Training Epoch: 30 [12288/48700]	Loss: 0.3521	LR: 0.004000
Training Epoch: 30 [12544/48700]	Loss: 0.3569	LR: 0.004000
Training Epoch: 30 [12800/48700]	Loss: 0.4577	LR: 0.004000
Training Epoch: 30 [13056/48700]	Loss: 0.4646	LR: 0.004000
Training Epoch: 30 [13312/48700]	Loss: 0.4511	LR: 0.004000
Training Epoch: 30 [13568/48700]	Loss: 0.3798	LR: 0.004000
Training Epoch: 30 [13824/48700]	Loss: 0.5029	LR: 0.004000
Training Epoch: 30 [14080/48700]	Loss: 0.3889	LR: 0.004000
Training Epoch: 30 [14336/48700]	Loss: 0.3721	LR: 0.004000
Training Epoch: 30 [14592/48700]	Loss: 0.5303	LR: 0.004000
Training Epoch: 30 [14848/48700]	Loss: 0.4408	LR: 0.004000
Training Epoch: 30 [15104/48700]	Loss: 0.3386	LR: 0.004000
Training Epoch: 30 [15360/48700]	Loss: 0.3510	LR: 0.004000
Training Epoch: 30 [15616/48700]	Loss: 0.3878	LR: 0.004000
Training Epoch: 30 [15872/48700]	Loss: 0.3902	LR: 0.004000
Training Epoch: 30 [16128/48700]	Loss: 0.4313	LR: 0.004000
Training Epoch: 30 [16384/48700]	Loss: 0.3795	LR: 0.004000
Training Epoch: 30 [16640/48700]	Loss: 0.3824	LR: 0.004000
Training Epoch: 30 [16896/48700]	Loss: 0.3331	LR: 0.004000
Training Epoch: 30 [17152/48700]	Loss: 0.3329	LR: 0.004000
Training Epoch: 30 [17408/48700]	Loss: 0.3911	LR: 0.004000
Training Epoch: 30 [17664/48700]	Loss: 0.4504	LR: 0.004000
Training Epoch: 30 [17920/48700]	Loss: 0.3774	LR: 0.004000
Training Epoch: 30 [18176/48700]	Loss: 0.3435	LR: 0.004000
Training Epoch: 30 [18432/48700]	Loss: 0.3499	LR: 0.004000
Training Epoch: 30 [18688/48700]	Loss: 0.3828	LR: 0.004000
Training Epoch: 30 [18944/48700]	Loss: 0.4482	LR: 0.004000
Training Epoch: 30 [19200/48700]	Loss: 0.4067	LR: 0.004000
Training Epoch: 30 [19456/48700]	Loss: 0.4750	LR: 0.004000
Training Epoch: 30 [19712/48700]	Loss: 0.4503	LR: 0.004000
Training Epoch: 30 [19968/48700]	Loss: 0.4594	LR: 0.004000
Training Epoch: 30 [20224/48700]	Loss: 0.3679	LR: 0.004000
Training Epoch: 30 [20480/48700]	Loss: 0.4149	LR: 0.004000
Training Epoch: 30 [20736/48700]	Loss: 0.4505	LR: 0.004000
Training Epoch: 30 [20992/48700]	Loss: 0.4366	LR: 0.004000
Training Epoch: 30 [21248/48700]	Loss: 0.4168	LR: 0.004000
Training Epoch: 30 [21504/48700]	Loss: 0.3547	LR: 0.004000
Training Epoch: 30 [21760/48700]	Loss: 0.2818	LR: 0.004000
Training Epoch: 30 [22016/48700]	Loss: 0.3750	LR: 0.004000
Training Epoch: 30 [22272/48700]	Loss: 0.4752	LR: 0.004000
Training Epoch: 30 [22528/48700]	Loss: 0.3632	LR: 0.004000
Training Epoch: 30 [22784/48700]	Loss: 0.4582	LR: 0.004000
Training Epoch: 30 [23040/48700]	Loss: 0.4718	LR: 0.004000
Training Epoch: 30 [23296/48700]	Loss: 0.4066	LR: 0.004000
Training Epoch: 30 [23552/48700]	Loss: 0.3518	LR: 0.004000
Training Epoch: 30 [23808/48700]	Loss: 0.3989	LR: 0.004000
Training Epoch: 30 [24064/48700]	Loss: 0.3525	LR: 0.004000
Training Epoch: 30 [24320/48700]	Loss: 0.4156	LR: 0.004000
Training Epoch: 30 [24576/48700]	Loss: 0.4202	LR: 0.004000
Training Epoch: 30 [24832/48700]	Loss: 0.3626	LR: 0.004000
Training Epoch: 30 [25088/48700]	Loss: 0.3728	LR: 0.004000
Training Epoch: 30 [25344/48700]	Loss: 0.3221	LR: 0.004000
Training Epoch: 30 [25600/48700]	Loss: 0.3405	LR: 0.004000
Training Epoch: 30 [25856/48700]	Loss: 0.3928	LR: 0.004000
Training Epoch: 30 [26112/48700]	Loss: 0.3807	LR: 0.004000
Training Epoch: 30 [26368/48700]	Loss: 0.3505	LR: 0.004000
Training Epoch: 30 [26624/48700]	Loss: 0.3873	LR: 0.004000
Training Epoch: 30 [26880/48700]	Loss: 0.3311	LR: 0.004000
Training Epoch: 30 [27136/48700]	Loss: 0.3755	LR: 0.004000
Training Epoch: 30 [27392/48700]	Loss: 0.3972	LR: 0.004000
Training Epoch: 30 [27648/48700]	Loss: 0.3999	LR: 0.004000
Training Epoch: 30 [27904/48700]	Loss: 0.4135	LR: 0.004000
Training Epoch: 30 [28160/48700]	Loss: 0.3023	LR: 0.004000
Training Epoch: 30 [28416/48700]	Loss: 0.4107	LR: 0.004000
Training Epoch: 30 [28672/48700]	Loss: 0.3595	LR: 0.004000
Training Epoch: 30 [28928/48700]	Loss: 0.3320	LR: 0.004000
Training Epoch: 30 [29184/48700]	Loss: 0.4037	LR: 0.004000
Training Epoch: 30 [29440/48700]	Loss: 0.3971	LR: 0.004000
Training Epoch: 30 [29696/48700]	Loss: 0.3110	LR: 0.004000
Training Epoch: 30 [29952/48700]	Loss: 0.4100	LR: 0.004000
Training Epoch: 30 [30208/48700]	Loss: 0.4502	LR: 0.004000
Training Epoch: 30 [30464/48700]	Loss: 0.4064	LR: 0.004000
Training Epoch: 30 [30720/48700]	Loss: 0.3866	LR: 0.004000
Training Epoch: 30 [30976/48700]	Loss: 0.3403	LR: 0.004000
Training Epoch: 30 [31232/48700]	Loss: 0.3422	LR: 0.004000
Training Epoch: 30 [31488/48700]	Loss: 0.3910	LR: 0.004000
Training Epoch: 30 [31744/48700]	Loss: 0.3734	LR: 0.004000
Training Epoch: 30 [32000/48700]	Loss: 0.3920	LR: 0.004000
Training Epoch: 30 [32256/48700]	Loss: 0.4108	LR: 0.004000
Training Epoch: 30 [32512/48700]	Loss: 0.3247	LR: 0.004000
Training Epoch: 30 [32768/48700]	Loss: 0.3919	LR: 0.004000
Training Epoch: 30 [33024/48700]	Loss: 0.3577	LR: 0.004000
Training Epoch: 30 [33280/48700]	Loss: 0.2788	LR: 0.004000
Training Epoch: 30 [33536/48700]	Loss: 0.3193	LR: 0.004000
Training Epoch: 30 [33792/48700]	Loss: 0.3735	LR: 0.004000
Training Epoch: 30 [34048/48700]	Loss: 0.4038	LR: 0.004000
Training Epoch: 30 [34304/48700]	Loss: 0.3470	LR: 0.004000
Training Epoch: 30 [34560/48700]	Loss: 0.4485	LR: 0.004000
Training Epoch: 30 [34816/48700]	Loss: 0.3627	LR: 0.004000
Training Epoch: 30 [35072/48700]	Loss: 0.3892	LR: 0.004000
Training Epoch: 30 [35328/48700]	Loss: 0.4110	LR: 0.004000
Training Epoch: 30 [35584/48700]	Loss: 0.3755	LR: 0.004000
Training Epoch: 30 [35840/48700]	Loss: 0.3301	LR: 0.004000
Training Epoch: 30 [36096/48700]	Loss: 0.3607	LR: 0.004000
Training Epoch: 30 [36352/48700]	Loss: 0.4362	LR: 0.004000
Training Epoch: 30 [36608/48700]	Loss: 0.4314	LR: 0.004000
Training Epoch: 30 [36864/48700]	Loss: 0.3438	LR: 0.004000
Training Epoch: 30 [37120/48700]	Loss: 0.3190	LR: 0.004000
Training Epoch: 30 [37376/48700]	Loss: 0.3566	LR: 0.004000
Training Epoch: 30 [37632/48700]	Loss: 0.3316	LR: 0.004000
Training Epoch: 30 [37888/48700]	Loss: 0.3367	LR: 0.004000
Training Epoch: 30 [38144/48700]	Loss: 0.3903	LR: 0.004000
Training Epoch: 30 [38400/48700]	Loss: 0.3968	LR: 0.004000
Training Epoch: 30 [38656/48700]	Loss: 0.3603	LR: 0.004000
Training Epoch: 30 [38912/48700]	Loss: 0.3823	LR: 0.004000
Training Epoch: 30 [39168/48700]	Loss: 0.4777	LR: 0.004000
Training Epoch: 30 [39424/48700]	Loss: 0.4046	LR: 0.004000
Training Epoch: 30 [39680/48700]	Loss: 0.4975	LR: 0.004000
Training Epoch: 30 [39936/48700]	Loss: 0.4037	LR: 0.004000
Training Epoch: 30 [40192/48700]	Loss: 0.4499	LR: 0.004000
Training Epoch: 30 [40448/48700]	Loss: 0.3891	LR: 0.004000
Training Epoch: 30 [40704/48700]	Loss: 0.4002	LR: 0.004000
Training Epoch: 30 [40960/48700]	Loss: 0.4741	LR: 0.004000
Training Epoch: 30 [41216/48700]	Loss: 0.3575	LR: 0.004000
Training Epoch: 30 [41472/48700]	Loss: 0.4448	LR: 0.004000
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Training Epoch: 30 [42240/48700]	Loss: 0.3723	LR: 0.004000
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Training Epoch: 30 [43264/48700]	Loss: 0.3380	LR: 0.004000
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Training Epoch: 30 [43776/48700]	Loss: 0.4152	LR: 0.004000
Training Epoch: 30 [44032/48700]	Loss: 0.3042	LR: 0.004000
Training Epoch: 30 [44288/48700]	Loss: 0.4309	LR: 0.004000
Training Epoch: 30 [44544/48700]	Loss: 0.4628	LR: 0.004000
Training Epoch: 30 [44800/48700]	Loss: 0.4436	LR: 0.004000
Training Epoch: 30 [45056/48700]	Loss: 0.3047	LR: 0.004000
Training Epoch: 30 [45312/48700]	Loss: 0.3361	LR: 0.004000
Training Epoch: 30 [45568/48700]	Loss: 0.4291	LR: 0.004000
Training Epoch: 30 [45824/48700]	Loss: 0.3151	LR: 0.004000
Training Epoch: 30 [46080/48700]	Loss: 0.2802	LR: 0.004000
Training Epoch: 30 [46336/48700]	Loss: 0.3551	LR: 0.004000
Training Epoch: 30 [46592/48700]	Loss: 0.3542	LR: 0.004000
Training Epoch: 30 [46848/48700]	Loss: 0.4031	LR: 0.004000
Training Epoch: 30 [47104/48700]	Loss: 0.4333	LR: 0.004000
Training Epoch: 30 [47360/48700]	Loss: 0.3924	LR: 0.004000
Training Epoch: 30 [47616/48700]	Loss: 0.3974	LR: 0.004000
Training Epoch: 30 [47872/48700]	Loss: 0.3321	LR: 0.004000
Training Epoch: 30 [48128/48700]	Loss: 0.3866	LR: 0.004000
Training Epoch: 30 [48384/48700]	Loss: 0.3711	LR: 0.004000
Training Epoch: 30 [48640/48700]	Loss: 0.4390	LR: 0.004000
Training Epoch: 30 [48700/48700]	Loss: 0.4991	LR: 0.004000
Epoch 30 - Average Train Loss: 0.4030, Train Accuracy: 0.8736
Epoch 30 training time consumed: 26.80s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0029, Accuracy: 0.7809, Time consumed:0.99s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-30-best.pth
Training Epoch: 31 [256/48700]	Loss: 0.4471	LR: 0.004000
Training Epoch: 31 [512/48700]	Loss: 0.3661	LR: 0.004000
Training Epoch: 31 [768/48700]	Loss: 0.3630	LR: 0.004000
Training Epoch: 31 [1024/48700]	Loss: 0.2758	LR: 0.004000
Training Epoch: 31 [1280/48700]	Loss: 0.3206	LR: 0.004000
Training Epoch: 31 [1536/48700]	Loss: 0.3975	LR: 0.004000
Training Epoch: 31 [1792/48700]	Loss: 0.3630	LR: 0.004000
Training Epoch: 31 [2048/48700]	Loss: 0.3095	LR: 0.004000
Training Epoch: 31 [2304/48700]	Loss: 0.3043	LR: 0.004000
Training Epoch: 31 [2560/48700]	Loss: 0.4195	LR: 0.004000
Training Epoch: 31 [2816/48700]	Loss: 0.4366	LR: 0.004000
Training Epoch: 31 [3072/48700]	Loss: 0.3700	LR: 0.004000
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Training Epoch: 31 [4096/48700]	Loss: 0.3524	LR: 0.004000
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Training Epoch: 31 [4608/48700]	Loss: 0.2774	LR: 0.004000
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Training Epoch: 31 [9472/48700]	Loss: 0.4181	LR: 0.004000
Training Epoch: 31 [9728/48700]	Loss: 0.3962	LR: 0.004000
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Training Epoch: 31 [11008/48700]	Loss: 0.3451	LR: 0.004000
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Training Epoch: 31 [12288/48700]	Loss: 0.3814	LR: 0.004000
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Training Epoch: 31 [12800/48700]	Loss: 0.4442	LR: 0.004000
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Training Epoch: 31 [15104/48700]	Loss: 0.3251	LR: 0.004000
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Training Epoch: 31 [15616/48700]	Loss: 0.3783	LR: 0.004000
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Training Epoch: 31 [16128/48700]	Loss: 0.3867	LR: 0.004000
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Training Epoch: 31 [16640/48700]	Loss: 0.3641	LR: 0.004000
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Training Epoch: 31 [45056/48700]	Loss: 0.3392	LR: 0.004000
Training Epoch: 31 [45312/48700]	Loss: 0.3472	LR: 0.004000
Training Epoch: 31 [45568/48700]	Loss: 0.4712	LR: 0.004000
Training Epoch: 31 [45824/48700]	Loss: 0.4075	LR: 0.004000
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Training Epoch: 31 [46336/48700]	Loss: 0.3226	LR: 0.004000
Training Epoch: 31 [46592/48700]	Loss: 0.3100	LR: 0.004000
Training Epoch: 31 [46848/48700]	Loss: 0.3704	LR: 0.004000
Training Epoch: 31 [47104/48700]	Loss: 0.3769	LR: 0.004000
Training Epoch: 31 [47360/48700]	Loss: 0.3468	LR: 0.004000
Training Epoch: 31 [47616/48700]	Loss: 0.3582	LR: 0.004000
Training Epoch: 31 [47872/48700]	Loss: 0.3704	LR: 0.004000
Training Epoch: 31 [48128/48700]	Loss: 0.3496	LR: 0.004000
Training Epoch: 31 [48384/48700]	Loss: 0.3192	LR: 0.004000
Training Epoch: 31 [48640/48700]	Loss: 0.4170	LR: 0.004000
Training Epoch: 31 [48700/48700]	Loss: 0.3578	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3641, Train Accuracy: 0.8871
Epoch 31 training time consumed: 26.88s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0029, Accuracy: 0.7816, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-31-best.pth
Training Epoch: 32 [256/48700]	Loss: 0.2896	LR: 0.004000
Training Epoch: 32 [512/48700]	Loss: 0.3056	LR: 0.004000
Training Epoch: 32 [768/48700]	Loss: 0.3950	LR: 0.004000
Training Epoch: 32 [1024/48700]	Loss: 0.3100	LR: 0.004000
Training Epoch: 32 [1280/48700]	Loss: 0.3849	LR: 0.004000
Training Epoch: 32 [1536/48700]	Loss: 0.3577	LR: 0.004000
Training Epoch: 32 [1792/48700]	Loss: 0.3679	LR: 0.004000
Training Epoch: 32 [2048/48700]	Loss: 0.3642	LR: 0.004000
Training Epoch: 32 [2304/48700]	Loss: 0.3291	LR: 0.004000
Training Epoch: 32 [2560/48700]	Loss: 0.4067	LR: 0.004000
Training Epoch: 32 [2816/48700]	Loss: 0.3149	LR: 0.004000
Training Epoch: 32 [3072/48700]	Loss: 0.3756	LR: 0.004000
Training Epoch: 32 [3328/48700]	Loss: 0.3494	LR: 0.004000
Training Epoch: 32 [3584/48700]	Loss: 0.3083	LR: 0.004000
Training Epoch: 32 [3840/48700]	Loss: 0.3687	LR: 0.004000
Training Epoch: 32 [4096/48700]	Loss: 0.3641	LR: 0.004000
Training Epoch: 32 [4352/48700]	Loss: 0.3580	LR: 0.004000
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Training Epoch: 32 [5120/48700]	Loss: 0.4047	LR: 0.004000
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Training Epoch: 32 [15360/48700]	Loss: 0.4001	LR: 0.004000
Training Epoch: 32 [15616/48700]	Loss: 0.3397	LR: 0.004000
Training Epoch: 32 [15872/48700]	Loss: 0.3136	LR: 0.004000
Training Epoch: 32 [16128/48700]	Loss: 0.3064	LR: 0.004000
Training Epoch: 32 [16384/48700]	Loss: 0.3168	LR: 0.004000
Training Epoch: 32 [16640/48700]	Loss: 0.3286	LR: 0.004000
Training Epoch: 32 [16896/48700]	Loss: 0.3509	LR: 0.004000
Training Epoch: 32 [17152/48700]	Loss: 0.3113	LR: 0.004000
Training Epoch: 32 [17408/48700]	Loss: 0.3868	LR: 0.004000
Training Epoch: 32 [17664/48700]	Loss: 0.3637	LR: 0.004000
Training Epoch: 32 [17920/48700]	Loss: 0.2930	LR: 0.004000
Training Epoch: 32 [18176/48700]	Loss: 0.4484	LR: 0.004000
Training Epoch: 32 [18432/48700]	Loss: 0.3166	LR: 0.004000
Training Epoch: 32 [18688/48700]	Loss: 0.3582	LR: 0.004000
Training Epoch: 32 [18944/48700]	Loss: 0.3039	LR: 0.004000
Training Epoch: 32 [19200/48700]	Loss: 0.3587	LR: 0.004000
Training Epoch: 32 [19456/48700]	Loss: 0.2978	LR: 0.004000
Training Epoch: 32 [19712/48700]	Loss: 0.4446	LR: 0.004000
Training Epoch: 32 [19968/48700]	Loss: 0.2979	LR: 0.004000
Training Epoch: 32 [20224/48700]	Loss: 0.3198	LR: 0.004000
Training Epoch: 32 [20480/48700]	Loss: 0.3122	LR: 0.004000
Training Epoch: 32 [20736/48700]	Loss: 0.3169	LR: 0.004000
Training Epoch: 32 [20992/48700]	Loss: 0.3797	LR: 0.004000
Training Epoch: 32 [21248/48700]	Loss: 0.4183	LR: 0.004000
Training Epoch: 32 [21504/48700]	Loss: 0.2448	LR: 0.004000
Training Epoch: 32 [21760/48700]	Loss: 0.3799	LR: 0.004000
Training Epoch: 32 [22016/48700]	Loss: 0.2891	LR: 0.004000
Training Epoch: 32 [22272/48700]	Loss: 0.3430	LR: 0.004000
Training Epoch: 32 [22528/48700]	Loss: 0.3086	LR: 0.004000
Training Epoch: 32 [22784/48700]	Loss: 0.2809	LR: 0.004000
Training Epoch: 32 [23040/48700]	Loss: 0.3156	LR: 0.004000
Training Epoch: 32 [23296/48700]	Loss: 0.4009	LR: 0.004000
Training Epoch: 32 [23552/48700]	Loss: 0.3276	LR: 0.004000
Training Epoch: 32 [23808/48700]	Loss: 0.4173	LR: 0.004000
Training Epoch: 32 [24064/48700]	Loss: 0.3895	LR: 0.004000
Training Epoch: 32 [24320/48700]	Loss: 0.3365	LR: 0.004000
Training Epoch: 32 [24576/48700]	Loss: 0.3122	LR: 0.004000
Training Epoch: 32 [24832/48700]	Loss: 0.3865	LR: 0.004000
Training Epoch: 32 [25088/48700]	Loss: 0.4245	LR: 0.004000
Training Epoch: 32 [25344/48700]	Loss: 0.2951	LR: 0.004000
Training Epoch: 32 [25600/48700]	Loss: 0.2414	LR: 0.004000
Training Epoch: 32 [25856/48700]	Loss: 0.3647	LR: 0.004000
Training Epoch: 32 [26112/48700]	Loss: 0.2983	LR: 0.004000
Training Epoch: 32 [26368/48700]	Loss: 0.3139	LR: 0.004000
Training Epoch: 32 [26624/48700]	Loss: 0.3609	LR: 0.004000
Training Epoch: 32 [26880/48700]	Loss: 0.3503	LR: 0.004000
Training Epoch: 32 [27136/48700]	Loss: 0.3044	LR: 0.004000
Training Epoch: 32 [27392/48700]	Loss: 0.3078	LR: 0.004000
Training Epoch: 32 [27648/48700]	Loss: 0.3325	LR: 0.004000
Training Epoch: 32 [27904/48700]	Loss: 0.3626	LR: 0.004000
Training Epoch: 32 [28160/48700]	Loss: 0.3405	LR: 0.004000
Training Epoch: 32 [28416/48700]	Loss: 0.3465	LR: 0.004000
Training Epoch: 32 [28672/48700]	Loss: 0.3147	LR: 0.004000
Training Epoch: 32 [28928/48700]	Loss: 0.3453	LR: 0.004000
Training Epoch: 32 [29184/48700]	Loss: 0.2962	LR: 0.004000
Training Epoch: 32 [29440/48700]	Loss: 0.4156	LR: 0.004000
Training Epoch: 32 [29696/48700]	Loss: 0.3395	LR: 0.004000
Training Epoch: 32 [29952/48700]	Loss: 0.3212	LR: 0.004000
Training Epoch: 32 [30208/48700]	Loss: 0.3873	LR: 0.004000
Training Epoch: 32 [30464/48700]	Loss: 0.3850	LR: 0.004000
Training Epoch: 32 [30720/48700]	Loss: 0.3906	LR: 0.004000
Training Epoch: 32 [30976/48700]	Loss: 0.3874	LR: 0.004000
Training Epoch: 32 [31232/48700]	Loss: 0.3980	LR: 0.004000
Training Epoch: 32 [31488/48700]	Loss: 0.3125	LR: 0.004000
Training Epoch: 32 [31744/48700]	Loss: 0.2918	LR: 0.004000
Training Epoch: 32 [32000/48700]	Loss: 0.3435	LR: 0.004000
Training Epoch: 32 [32256/48700]	Loss: 0.3582	LR: 0.004000
Training Epoch: 32 [32512/48700]	Loss: 0.3149	LR: 0.004000
Training Epoch: 32 [32768/48700]	Loss: 0.3640	LR: 0.004000
Training Epoch: 32 [33024/48700]	Loss: 0.3395	LR: 0.004000
Training Epoch: 32 [33280/48700]	Loss: 0.3647	LR: 0.004000
Training Epoch: 32 [33536/48700]	Loss: 0.4105	LR: 0.004000
Training Epoch: 32 [33792/48700]	Loss: 0.3750	LR: 0.004000
Training Epoch: 32 [34048/48700]	Loss: 0.3807	LR: 0.004000
Training Epoch: 32 [34304/48700]	Loss: 0.4153	LR: 0.004000
Training Epoch: 32 [34560/48700]	Loss: 0.3564	LR: 0.004000
Training Epoch: 32 [34816/48700]	Loss: 0.3418	LR: 0.004000
Training Epoch: 32 [35072/48700]	Loss: 0.3311	LR: 0.004000
Training Epoch: 32 [35328/48700]	Loss: 0.3578	LR: 0.004000
Training Epoch: 32 [35584/48700]	Loss: 0.2900	LR: 0.004000
Training Epoch: 32 [35840/48700]	Loss: 0.3057	LR: 0.004000
Training Epoch: 32 [36096/48700]	Loss: 0.3300	LR: 0.004000
Training Epoch: 32 [36352/48700]	Loss: 0.4373	LR: 0.004000
Training Epoch: 32 [36608/48700]	Loss: 0.3914	LR: 0.004000
Training Epoch: 32 [36864/48700]	Loss: 0.2928	LR: 0.004000
Training Epoch: 32 [37120/48700]	Loss: 0.4096	LR: 0.004000
Training Epoch: 32 [37376/48700]	Loss: 0.4146	LR: 0.004000
Training Epoch: 32 [37632/48700]	Loss: 0.3697	LR: 0.004000
Training Epoch: 32 [37888/48700]	Loss: 0.3533	LR: 0.004000
Training Epoch: 32 [38144/48700]	Loss: 0.3399	LR: 0.004000
Training Epoch: 32 [38400/48700]	Loss: 0.2813	LR: 0.004000
Training Epoch: 32 [38656/48700]	Loss: 0.3169	LR: 0.004000
Training Epoch: 32 [38912/48700]	Loss: 0.3233	LR: 0.004000
Training Epoch: 32 [39168/48700]	Loss: 0.4239	LR: 0.004000
Training Epoch: 32 [39424/48700]	Loss: 0.3721	LR: 0.004000
Training Epoch: 32 [39680/48700]	Loss: 0.2797	LR: 0.004000
Training Epoch: 32 [39936/48700]	Loss: 0.3197	LR: 0.004000
Training Epoch: 32 [40192/48700]	Loss: 0.3051	LR: 0.004000
Training Epoch: 32 [40448/48700]	Loss: 0.3700	LR: 0.004000
Training Epoch: 32 [40704/48700]	Loss: 0.3396	LR: 0.004000
Training Epoch: 32 [40960/48700]	Loss: 0.3856	LR: 0.004000
Training Epoch: 32 [41216/48700]	Loss: 0.4446	LR: 0.004000
Training Epoch: 32 [41472/48700]	Loss: 0.3645	LR: 0.004000
Training Epoch: 32 [41728/48700]	Loss: 0.3133	LR: 0.004000
Training Epoch: 32 [41984/48700]	Loss: 0.3793	LR: 0.004000
Training Epoch: 32 [42240/48700]	Loss: 0.3908	LR: 0.004000
Training Epoch: 32 [42496/48700]	Loss: 0.3584	LR: 0.004000
Training Epoch: 32 [42752/48700]	Loss: 0.3305	LR: 0.004000
Training Epoch: 32 [43008/48700]	Loss: 0.4636	LR: 0.004000
Training Epoch: 32 [43264/48700]	Loss: 0.4793	LR: 0.004000
Training Epoch: 32 [43520/48700]	Loss: 0.2600	LR: 0.004000
Training Epoch: 32 [43776/48700]	Loss: 0.3761	LR: 0.004000
Training Epoch: 32 [44032/48700]	Loss: 0.3704	LR: 0.004000
Training Epoch: 32 [44288/48700]	Loss: 0.3190	LR: 0.004000
Training Epoch: 32 [44544/48700]	Loss: 0.2834	LR: 0.004000
Training Epoch: 32 [44800/48700]	Loss: 0.3323	LR: 0.004000
Training Epoch: 32 [45056/48700]	Loss: 0.3225	LR: 0.004000
Training Epoch: 32 [45312/48700]	Loss: 0.3795	LR: 0.004000
Training Epoch: 32 [45568/48700]	Loss: 0.3287	LR: 0.004000
Training Epoch: 32 [45824/48700]	Loss: 0.3320	LR: 0.004000
Training Epoch: 32 [46080/48700]	Loss: 0.3419	LR: 0.004000
Training Epoch: 32 [46336/48700]	Loss: 0.3854	LR: 0.004000
Training Epoch: 32 [46592/48700]	Loss: 0.3139	LR: 0.004000
Training Epoch: 32 [46848/48700]	Loss: 0.3875	LR: 0.004000
Training Epoch: 32 [47104/48700]	Loss: 0.3830	LR: 0.004000
Training Epoch: 32 [47360/48700]	Loss: 0.4741	LR: 0.004000
Training Epoch: 32 [47616/48700]	Loss: 0.3035	LR: 0.004000
Training Epoch: 32 [47872/48700]	Loss: 0.3405	LR: 0.004000
Training Epoch: 32 [48128/48700]	Loss: 0.4097	LR: 0.004000
Training Epoch: 32 [48384/48700]	Loss: 0.3495	LR: 0.004000
Training Epoch: 32 [48640/48700]	Loss: 0.4070	LR: 0.004000
Training Epoch: 32 [48700/48700]	Loss: 0.2851	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3507, Train Accuracy: 0.8914
Epoch 32 training time consumed: 26.90s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0030, Accuracy: 0.7806, Time consumed:0.92s
Training Epoch: 33 [256/48700]	Loss: 0.3310	LR: 0.004000
Training Epoch: 33 [512/48700]	Loss: 0.3508	LR: 0.004000
Training Epoch: 33 [768/48700]	Loss: 0.4336	LR: 0.004000
Training Epoch: 33 [1024/48700]	Loss: 0.3032	LR: 0.004000
Training Epoch: 33 [1280/48700]	Loss: 0.2462	LR: 0.004000
Training Epoch: 33 [1536/48700]	Loss: 0.3326	LR: 0.004000
Training Epoch: 33 [1792/48700]	Loss: 0.4081	LR: 0.004000
Training Epoch: 33 [2048/48700]	Loss: 0.3414	LR: 0.004000
Training Epoch: 33 [2304/48700]	Loss: 0.3051	LR: 0.004000
Training Epoch: 33 [2560/48700]	Loss: 0.3216	LR: 0.004000
Training Epoch: 33 [2816/48700]	Loss: 0.3433	LR: 0.004000
Training Epoch: 33 [3072/48700]	Loss: 0.3359	LR: 0.004000
Training Epoch: 33 [3328/48700]	Loss: 0.3782	LR: 0.004000
Training Epoch: 33 [3584/48700]	Loss: 0.3368	LR: 0.004000
Training Epoch: 33 [3840/48700]	Loss: 0.3624	LR: 0.004000
Training Epoch: 33 [4096/48700]	Loss: 0.4038	LR: 0.004000
Training Epoch: 33 [4352/48700]	Loss: 0.3752	LR: 0.004000
Training Epoch: 33 [4608/48700]	Loss: 0.3419	LR: 0.004000
Training Epoch: 33 [4864/48700]	Loss: 0.2737	LR: 0.004000
Training Epoch: 33 [5120/48700]	Loss: 0.3101	LR: 0.004000
Training Epoch: 33 [5376/48700]	Loss: 0.3689	LR: 0.004000
Training Epoch: 33 [5632/48700]	Loss: 0.3649	LR: 0.004000
Training Epoch: 33 [5888/48700]	Loss: 0.3556	LR: 0.004000
Training Epoch: 33 [6144/48700]	Loss: 0.3154	LR: 0.004000
Training Epoch: 33 [6400/48700]	Loss: 0.3879	LR: 0.004000
Training Epoch: 33 [6656/48700]	Loss: 0.3299	LR: 0.004000
Training Epoch: 33 [6912/48700]	Loss: 0.3818	LR: 0.004000
Training Epoch: 33 [7168/48700]	Loss: 0.2580	LR: 0.004000
Training Epoch: 33 [7424/48700]	Loss: 0.3705	LR: 0.004000
Training Epoch: 33 [7680/48700]	Loss: 0.3784	LR: 0.004000
Training Epoch: 33 [7936/48700]	Loss: 0.3054	LR: 0.004000
Training Epoch: 33 [8192/48700]	Loss: 0.3042	LR: 0.004000
Training Epoch: 33 [8448/48700]	Loss: 0.3557	LR: 0.004000
Training Epoch: 33 [8704/48700]	Loss: 0.3543	LR: 0.004000
Training Epoch: 33 [8960/48700]	Loss: 0.3817	LR: 0.004000
Training Epoch: 33 [9216/48700]	Loss: 0.3724	LR: 0.004000
Training Epoch: 33 [9472/48700]	Loss: 0.2700	LR: 0.004000
Training Epoch: 33 [9728/48700]	Loss: 0.2902	LR: 0.004000
Training Epoch: 33 [9984/48700]	Loss: 0.2878	LR: 0.004000
Training Epoch: 33 [10240/48700]	Loss: 0.3257	LR: 0.004000
Training Epoch: 33 [10496/48700]	Loss: 0.3798	LR: 0.004000
Training Epoch: 33 [10752/48700]	Loss: 0.2512	LR: 0.004000
Training Epoch: 33 [11008/48700]	Loss: 0.3456	LR: 0.004000
Training Epoch: 33 [11264/48700]	Loss: 0.3535	LR: 0.004000
Training Epoch: 33 [11520/48700]	Loss: 0.3596	LR: 0.004000
Training Epoch: 33 [11776/48700]	Loss: 0.3077	LR: 0.004000
Training Epoch: 33 [12032/48700]	Loss: 0.3785	LR: 0.004000
Training Epoch: 33 [12288/48700]	Loss: 0.3053	LR: 0.004000
Training Epoch: 33 [12544/48700]	Loss: 0.3607	LR: 0.004000
Training Epoch: 33 [12800/48700]	Loss: 0.2942	LR: 0.004000
Training Epoch: 33 [13056/48700]	Loss: 0.3473	LR: 0.004000
Training Epoch: 33 [13312/48700]	Loss: 0.3645	LR: 0.004000
Training Epoch: 33 [13568/48700]	Loss: 0.2497	LR: 0.004000
Training Epoch: 33 [13824/48700]	Loss: 0.2723	LR: 0.004000
Training Epoch: 33 [14080/48700]	Loss: 0.3556	LR: 0.004000
Training Epoch: 33 [14336/48700]	Loss: 0.3163	LR: 0.004000
Training Epoch: 33 [14592/48700]	Loss: 0.3674	LR: 0.004000
Training Epoch: 33 [14848/48700]	Loss: 0.3619	LR: 0.004000
Training Epoch: 33 [15104/48700]	Loss: 0.2961	LR: 0.004000
Training Epoch: 33 [15360/48700]	Loss: 0.2820	LR: 0.004000
Training Epoch: 33 [15616/48700]	Loss: 0.3505	LR: 0.004000
Training Epoch: 33 [15872/48700]	Loss: 0.3203	LR: 0.004000
Training Epoch: 33 [16128/48700]	Loss: 0.3665	LR: 0.004000
Training Epoch: 33 [16384/48700]	Loss: 0.3684	LR: 0.004000
Training Epoch: 33 [16640/48700]	Loss: 0.2853	LR: 0.004000
Training Epoch: 33 [16896/48700]	Loss: 0.3003	LR: 0.004000
Training Epoch: 33 [17152/48700]	Loss: 0.2892	LR: 0.004000
Training Epoch: 33 [17408/48700]	Loss: 0.3193	LR: 0.004000
Training Epoch: 33 [17664/48700]	Loss: 0.4364	LR: 0.004000
Training Epoch: 33 [17920/48700]	Loss: 0.3750	LR: 0.004000
Training Epoch: 33 [18176/48700]	Loss: 0.3392	LR: 0.004000
Training Epoch: 33 [18432/48700]	Loss: 0.3319	LR: 0.004000
Training Epoch: 33 [18688/48700]	Loss: 0.3552	LR: 0.004000
Training Epoch: 33 [18944/48700]	Loss: 0.3909	LR: 0.004000
Training Epoch: 33 [19200/48700]	Loss: 0.3449	LR: 0.004000
Training Epoch: 33 [19456/48700]	Loss: 0.3750	LR: 0.004000
Training Epoch: 33 [19712/48700]	Loss: 0.2899	LR: 0.004000
Training Epoch: 33 [19968/48700]	Loss: 0.3300	LR: 0.004000
Training Epoch: 33 [20224/48700]	Loss: 0.3376	LR: 0.004000
Training Epoch: 33 [20480/48700]	Loss: 0.2945	LR: 0.004000
Training Epoch: 33 [20736/48700]	Loss: 0.3913	LR: 0.004000
Training Epoch: 33 [20992/48700]	Loss: 0.3457	LR: 0.004000
Training Epoch: 33 [21248/48700]	Loss: 0.3456	LR: 0.004000
Training Epoch: 33 [21504/48700]	Loss: 0.3849	LR: 0.004000
Training Epoch: 33 [21760/48700]	Loss: 0.3226	LR: 0.004000
Training Epoch: 33 [22016/48700]	Loss: 0.3335	LR: 0.004000
Training Epoch: 33 [22272/48700]	Loss: 0.3366	LR: 0.004000
Training Epoch: 33 [22528/48700]	Loss: 0.3816	LR: 0.004000
Training Epoch: 33 [22784/48700]	Loss: 0.3284	LR: 0.004000
Training Epoch: 33 [23040/48700]	Loss: 0.3305	LR: 0.004000
Training Epoch: 33 [23296/48700]	Loss: 0.3215	LR: 0.004000
Training Epoch: 33 [23552/48700]	Loss: 0.2711	LR: 0.004000
Training Epoch: 33 [23808/48700]	Loss: 0.2818	LR: 0.004000
Training Epoch: 33 [24064/48700]	Loss: 0.3155	LR: 0.004000
Training Epoch: 33 [24320/48700]	Loss: 0.3145	LR: 0.004000
Training Epoch: 33 [24576/48700]	Loss: 0.3252	LR: 0.004000
Training Epoch: 33 [24832/48700]	Loss: 0.3077	LR: 0.004000
Training Epoch: 33 [25088/48700]	Loss: 0.3604	LR: 0.004000
Training Epoch: 33 [25344/48700]	Loss: 0.3715	LR: 0.004000
Training Epoch: 33 [25600/48700]	Loss: 0.4014	LR: 0.004000
Training Epoch: 33 [25856/48700]	Loss: 0.3217	LR: 0.004000
Training Epoch: 33 [26112/48700]	Loss: 0.4263	LR: 0.004000
Training Epoch: 33 [26368/48700]	Loss: 0.3425	LR: 0.004000
Training Epoch: 33 [26624/48700]	Loss: 0.2329	LR: 0.004000
Training Epoch: 33 [26880/48700]	Loss: 0.3200	LR: 0.004000
Training Epoch: 33 [27136/48700]	Loss: 0.3278	LR: 0.004000
Training Epoch: 33 [27392/48700]	Loss: 0.3670	LR: 0.004000
Training Epoch: 33 [27648/48700]	Loss: 0.3429	LR: 0.004000
Training Epoch: 33 [27904/48700]	Loss: 0.3469	LR: 0.004000
Training Epoch: 33 [28160/48700]	Loss: 0.2868	LR: 0.004000
Training Epoch: 33 [28416/48700]	Loss: 0.3330	LR: 0.004000
Training Epoch: 33 [28672/48700]	Loss: 0.3082	LR: 0.004000
Training Epoch: 33 [28928/48700]	Loss: 0.3424	LR: 0.004000
Training Epoch: 33 [29184/48700]	Loss: 0.3558	LR: 0.004000
Training Epoch: 33 [29440/48700]	Loss: 0.4462	LR: 0.004000
Training Epoch: 33 [29696/48700]	Loss: 0.3097	LR: 0.004000
Training Epoch: 33 [29952/48700]	Loss: 0.4153	LR: 0.004000
Training Epoch: 33 [30208/48700]	Loss: 0.3275	LR: 0.004000
Training Epoch: 33 [30464/48700]	Loss: 0.3494	LR: 0.004000
Training Epoch: 33 [30720/48700]	Loss: 0.3502	LR: 0.004000
Training Epoch: 33 [30976/48700]	Loss: 0.3216	LR: 0.004000
Training Epoch: 33 [31232/48700]	Loss: 0.3653	LR: 0.004000
Training Epoch: 33 [31488/48700]	Loss: 0.3263	LR: 0.004000
Training Epoch: 33 [31744/48700]	Loss: 0.3712	LR: 0.004000
Training Epoch: 33 [32000/48700]	Loss: 0.2991	LR: 0.004000
Training Epoch: 33 [32256/48700]	Loss: 0.3093	LR: 0.004000
Training Epoch: 33 [32512/48700]	Loss: 0.3880	LR: 0.004000
Training Epoch: 33 [32768/48700]	Loss: 0.2927	LR: 0.004000
Training Epoch: 33 [33024/48700]	Loss: 0.2826	LR: 0.004000
Training Epoch: 33 [33280/48700]	Loss: 0.2079	LR: 0.004000
Training Epoch: 33 [33536/48700]	Loss: 0.3639	LR: 0.004000
Training Epoch: 33 [33792/48700]	Loss: 0.3630	LR: 0.004000
Training Epoch: 33 [34048/48700]	Loss: 0.3084	LR: 0.004000
Training Epoch: 33 [34304/48700]	Loss: 0.3512	LR: 0.004000
Training Epoch: 33 [34560/48700]	Loss: 0.2764	LR: 0.004000
Training Epoch: 33 [34816/48700]	Loss: 0.3557	LR: 0.004000
Training Epoch: 33 [35072/48700]	Loss: 0.3246	LR: 0.004000
Training Epoch: 33 [35328/48700]	Loss: 0.2967	LR: 0.004000
Training Epoch: 33 [35584/48700]	Loss: 0.3276	LR: 0.004000
Training Epoch: 33 [35840/48700]	Loss: 0.3274	LR: 0.004000
Training Epoch: 33 [36096/48700]	Loss: 0.2793	LR: 0.004000
Training Epoch: 33 [36352/48700]	Loss: 0.3197	LR: 0.004000
Training Epoch: 33 [36608/48700]	Loss: 0.2698	LR: 0.004000
Training Epoch: 33 [36864/48700]	Loss: 0.2964	LR: 0.004000
Training Epoch: 33 [37120/48700]	Loss: 0.2926	LR: 0.004000
Training Epoch: 33 [37376/48700]	Loss: 0.3450	LR: 0.004000
Training Epoch: 33 [37632/48700]	Loss: 0.3768	LR: 0.004000
Training Epoch: 33 [37888/48700]	Loss: 0.3819	LR: 0.004000
Training Epoch: 33 [38144/48700]	Loss: 0.4136	LR: 0.004000
Training Epoch: 33 [38400/48700]	Loss: 0.3584	LR: 0.004000
Training Epoch: 33 [38656/48700]	Loss: 0.3302	LR: 0.004000
Training Epoch: 33 [38912/48700]	Loss: 0.4055	LR: 0.004000
Training Epoch: 33 [39168/48700]	Loss: 0.3198	LR: 0.004000
Training Epoch: 33 [39424/48700]	Loss: 0.2982	LR: 0.004000
Training Epoch: 33 [39680/48700]	Loss: 0.3742	LR: 0.004000
Training Epoch: 33 [39936/48700]	Loss: 0.3438	LR: 0.004000
Training Epoch: 33 [40192/48700]	Loss: 0.3083	LR: 0.004000
Training Epoch: 33 [40448/48700]	Loss: 0.3641	LR: 0.004000
Training Epoch: 33 [40704/48700]	Loss: 0.2877	LR: 0.004000
Training Epoch: 33 [40960/48700]	Loss: 0.2896	LR: 0.004000
Training Epoch: 33 [41216/48700]	Loss: 0.3692	LR: 0.004000
Training Epoch: 33 [41472/48700]	Loss: 0.3052	LR: 0.004000
Training Epoch: 33 [41728/48700]	Loss: 0.3526	LR: 0.004000
Training Epoch: 33 [41984/48700]	Loss: 0.3672	LR: 0.004000
Training Epoch: 33 [42240/48700]	Loss: 0.3748	LR: 0.004000
Training Epoch: 33 [42496/48700]	Loss: 0.3210	LR: 0.004000
Training Epoch: 33 [42752/48700]	Loss: 0.5353	LR: 0.004000
Training Epoch: 33 [43008/48700]	Loss: 0.4095	LR: 0.004000
Training Epoch: 33 [43264/48700]	Loss: 0.4228	LR: 0.004000
Training Epoch: 33 [43520/48700]	Loss: 0.3522	LR: 0.004000
Training Epoch: 33 [43776/48700]	Loss: 0.3321	LR: 0.004000
Training Epoch: 33 [44032/48700]	Loss: 0.2684	LR: 0.004000
Training Epoch: 33 [44288/48700]	Loss: 0.3571	LR: 0.004000
Training Epoch: 33 [44544/48700]	Loss: 0.3571	LR: 0.004000
Training Epoch: 33 [44800/48700]	Loss: 0.3562	LR: 0.004000
Training Epoch: 33 [45056/48700]	Loss: 0.2789	LR: 0.004000
Training Epoch: 33 [45312/48700]	Loss: 0.3406	LR: 0.004000
Training Epoch: 33 [45568/48700]	Loss: 0.4114	LR: 0.004000
Training Epoch: 33 [45824/48700]	Loss: 0.2851	LR: 0.004000
Training Epoch: 33 [46080/48700]	Loss: 0.3520	LR: 0.004000
Training Epoch: 33 [46336/48700]	Loss: 0.3156	LR: 0.004000
Training Epoch: 33 [46592/48700]	Loss: 0.3052	LR: 0.004000
Training Epoch: 33 [46848/48700]	Loss: 0.3168	LR: 0.004000
Training Epoch: 33 [47104/48700]	Loss: 0.3319	LR: 0.004000
Training Epoch: 33 [47360/48700]	Loss: 0.3664	LR: 0.004000
Training Epoch: 33 [47616/48700]	Loss: 0.2945	LR: 0.004000
Training Epoch: 33 [47872/48700]	Loss: 0.3250	LR: 0.004000
Training Epoch: 33 [48128/48700]	Loss: 0.4108	LR: 0.004000
Training Epoch: 33 [48384/48700]	Loss: 0.2883	LR: 0.004000
Training Epoch: 33 [48640/48700]	Loss: 0.3363	LR: 0.004000
Training Epoch: 33 [48700/48700]	Loss: 0.3073	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3374, Train Accuracy: 0.8963
Epoch 33 training time consumed: 26.71s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7795, Time consumed:0.87s
Training Epoch: 34 [256/48700]	Loss: 0.4110	LR: 0.004000
Training Epoch: 34 [512/48700]	Loss: 0.3144	LR: 0.004000
Training Epoch: 34 [768/48700]	Loss: 0.3793	LR: 0.004000
Training Epoch: 34 [1024/48700]	Loss: 0.2775	LR: 0.004000
Training Epoch: 34 [1280/48700]	Loss: 0.3836	LR: 0.004000
Training Epoch: 34 [1536/48700]	Loss: 0.3170	LR: 0.004000
Training Epoch: 34 [1792/48700]	Loss: 0.3194	LR: 0.004000
Training Epoch: 34 [2048/48700]	Loss: 0.2684	LR: 0.004000
Training Epoch: 34 [2304/48700]	Loss: 0.3349	LR: 0.004000
Training Epoch: 34 [2560/48700]	Loss: 0.2867	LR: 0.004000
Training Epoch: 34 [2816/48700]	Loss: 0.2734	LR: 0.004000
Training Epoch: 34 [3072/48700]	Loss: 0.3400	LR: 0.004000
Training Epoch: 34 [3328/48700]	Loss: 0.3743	LR: 0.004000
Training Epoch: 34 [3584/48700]	Loss: 0.3450	LR: 0.004000
Training Epoch: 34 [3840/48700]	Loss: 0.3558	LR: 0.004000
Training Epoch: 34 [4096/48700]	Loss: 0.3410	LR: 0.004000
Training Epoch: 34 [4352/48700]	Loss: 0.3199	LR: 0.004000
Training Epoch: 34 [4608/48700]	Loss: 0.3440	LR: 0.004000
Training Epoch: 34 [4864/48700]	Loss: 0.3657	LR: 0.004000
Training Epoch: 34 [5120/48700]	Loss: 0.3120	LR: 0.004000
Training Epoch: 34 [5376/48700]	Loss: 0.2947	LR: 0.004000
Training Epoch: 34 [5632/48700]	Loss: 0.4339	LR: 0.004000
Training Epoch: 34 [5888/48700]	Loss: 0.3442	LR: 0.004000
Training Epoch: 34 [6144/48700]	Loss: 0.3060	LR: 0.004000
Training Epoch: 34 [6400/48700]	Loss: 0.3371	LR: 0.004000
Training Epoch: 34 [6656/48700]	Loss: 0.3006	LR: 0.004000
Training Epoch: 34 [6912/48700]	Loss: 0.3487	LR: 0.004000
Training Epoch: 34 [7168/48700]	Loss: 0.2816	LR: 0.004000
Training Epoch: 34 [7424/48700]	Loss: 0.3647	LR: 0.004000
Training Epoch: 34 [7680/48700]	Loss: 0.3079	LR: 0.004000
Training Epoch: 34 [7936/48700]	Loss: 0.3429	LR: 0.004000
Training Epoch: 34 [8192/48700]	Loss: 0.2866	LR: 0.004000
Training Epoch: 34 [8448/48700]	Loss: 0.3670	LR: 0.004000
Training Epoch: 34 [8704/48700]	Loss: 0.3964	LR: 0.004000
Training Epoch: 34 [8960/48700]	Loss: 0.3150	LR: 0.004000
Training Epoch: 34 [9216/48700]	Loss: 0.3497	LR: 0.004000
Training Epoch: 34 [9472/48700]	Loss: 0.3212	LR: 0.004000
Training Epoch: 34 [9728/48700]	Loss: 0.3463	LR: 0.004000
Training Epoch: 34 [9984/48700]	Loss: 0.2952	LR: 0.004000
Training Epoch: 34 [10240/48700]	Loss: 0.2685	LR: 0.004000
Training Epoch: 34 [10496/48700]	Loss: 0.2501	LR: 0.004000
Training Epoch: 34 [10752/48700]	Loss: 0.3017	LR: 0.004000
Training Epoch: 34 [11008/48700]	Loss: 0.3535	LR: 0.004000
Training Epoch: 34 [11264/48700]	Loss: 0.3451	LR: 0.004000
Training Epoch: 34 [11520/48700]	Loss: 0.3055	LR: 0.004000
Training Epoch: 34 [11776/48700]	Loss: 0.3760	LR: 0.004000
Training Epoch: 34 [12032/48700]	Loss: 0.3639	LR: 0.004000
Training Epoch: 34 [12288/48700]	Loss: 0.3152	LR: 0.004000
Training Epoch: 34 [12544/48700]	Loss: 0.2888	LR: 0.004000
Training Epoch: 34 [12800/48700]	Loss: 0.3971	LR: 0.004000
Training Epoch: 34 [13056/48700]	Loss: 0.3091	LR: 0.004000
Training Epoch: 34 [13312/48700]	Loss: 0.3328	LR: 0.004000
Training Epoch: 34 [13568/48700]	Loss: 0.3431	LR: 0.004000
Training Epoch: 34 [13824/48700]	Loss: 0.4538	LR: 0.004000
Training Epoch: 34 [14080/48700]	Loss: 0.3070	LR: 0.004000
Training Epoch: 34 [14336/48700]	Loss: 0.2859	LR: 0.004000
Training Epoch: 34 [14592/48700]	Loss: 0.2185	LR: 0.004000
Training Epoch: 34 [14848/48700]	Loss: 0.2862	LR: 0.004000
Training Epoch: 34 [15104/48700]	Loss: 0.3788	LR: 0.004000
Training Epoch: 34 [15360/48700]	Loss: 0.3160	LR: 0.004000
Training Epoch: 34 [15616/48700]	Loss: 0.2437	LR: 0.004000
Training Epoch: 34 [15872/48700]	Loss: 0.3190	LR: 0.004000
Training Epoch: 34 [16128/48700]	Loss: 0.3619	LR: 0.004000
Training Epoch: 34 [16384/48700]	Loss: 0.3734	LR: 0.004000
Training Epoch: 34 [16640/48700]	Loss: 0.3305	LR: 0.004000
Training Epoch: 34 [16896/48700]	Loss: 0.3207	LR: 0.004000
Training Epoch: 34 [17152/48700]	Loss: 0.3404	LR: 0.004000
Training Epoch: 34 [17408/48700]	Loss: 0.2567	LR: 0.004000
Training Epoch: 34 [17664/48700]	Loss: 0.3240	LR: 0.004000
Training Epoch: 34 [17920/48700]	Loss: 0.3099	LR: 0.004000
Training Epoch: 34 [18176/48700]	Loss: 0.3632	LR: 0.004000
Training Epoch: 34 [18432/48700]	Loss: 0.2756	LR: 0.004000
Training Epoch: 34 [18688/48700]	Loss: 0.2451	LR: 0.004000
Training Epoch: 34 [18944/48700]	Loss: 0.3020	LR: 0.004000
Training Epoch: 34 [19200/48700]	Loss: 0.1977	LR: 0.004000
Training Epoch: 34 [19456/48700]	Loss: 0.2810	LR: 0.004000
Training Epoch: 34 [19712/48700]	Loss: 0.2680	LR: 0.004000
Training Epoch: 34 [19968/48700]	Loss: 0.3100	LR: 0.004000
Training Epoch: 34 [20224/48700]	Loss: 0.2308	LR: 0.004000
Training Epoch: 34 [20480/48700]	Loss: 0.4275	LR: 0.004000
Training Epoch: 34 [20736/48700]	Loss: 0.3540	LR: 0.004000
Training Epoch: 34 [20992/48700]	Loss: 0.2796	LR: 0.004000
Training Epoch: 34 [21248/48700]	Loss: 0.3512	LR: 0.004000
Training Epoch: 34 [21504/48700]	Loss: 0.4129	LR: 0.004000
Training Epoch: 34 [21760/48700]	Loss: 0.2968	LR: 0.004000
Training Epoch: 34 [22016/48700]	Loss: 0.3428	LR: 0.004000
Training Epoch: 34 [22272/48700]	Loss: 0.3771	LR: 0.004000
Training Epoch: 34 [22528/48700]	Loss: 0.3851	LR: 0.004000
Training Epoch: 34 [22784/48700]	Loss: 0.3277	LR: 0.004000
Training Epoch: 34 [23040/48700]	Loss: 0.3175	LR: 0.004000
Training Epoch: 34 [23296/48700]	Loss: 0.4502	LR: 0.004000
Training Epoch: 34 [23552/48700]	Loss: 0.3227	LR: 0.004000
Training Epoch: 34 [23808/48700]	Loss: 0.3251	LR: 0.004000
Training Epoch: 34 [24064/48700]	Loss: 0.3535	LR: 0.004000
Training Epoch: 34 [24320/48700]	Loss: 0.3427	LR: 0.004000
Training Epoch: 34 [24576/48700]	Loss: 0.3279	LR: 0.004000
Training Epoch: 34 [24832/48700]	Loss: 0.3085	LR: 0.004000
Training Epoch: 34 [25088/48700]	Loss: 0.3542	LR: 0.004000
Training Epoch: 34 [25344/48700]	Loss: 0.3948	LR: 0.004000
Training Epoch: 34 [25600/48700]	Loss: 0.3446	LR: 0.004000
Training Epoch: 34 [25856/48700]	Loss: 0.3508	LR: 0.004000
Training Epoch: 34 [26112/48700]	Loss: 0.3213	LR: 0.004000
Training Epoch: 34 [26368/48700]	Loss: 0.2950	LR: 0.004000
Training Epoch: 34 [26624/48700]	Loss: 0.4042	LR: 0.004000
Training Epoch: 34 [26880/48700]	Loss: 0.2845	LR: 0.004000
Training Epoch: 34 [27136/48700]	Loss: 0.3253	LR: 0.004000
Training Epoch: 34 [27392/48700]	Loss: 0.3732	LR: 0.004000
Training Epoch: 34 [27648/48700]	Loss: 0.3293	LR: 0.004000
Training Epoch: 34 [27904/48700]	Loss: 0.3110	LR: 0.004000
Training Epoch: 34 [28160/48700]	Loss: 0.2811	LR: 0.004000
Training Epoch: 34 [28416/48700]	Loss: 0.3105	LR: 0.004000
Training Epoch: 34 [28672/48700]	Loss: 0.3138	LR: 0.004000
Training Epoch: 34 [28928/48700]	Loss: 0.2962	LR: 0.004000
Training Epoch: 34 [29184/48700]	Loss: 0.3510	LR: 0.004000
Training Epoch: 34 [29440/48700]	Loss: 0.3109	LR: 0.004000
Training Epoch: 34 [29696/48700]	Loss: 0.2767	LR: 0.004000
Training Epoch: 34 [29952/48700]	Loss: 0.3523	LR: 0.004000
Training Epoch: 34 [30208/48700]	Loss: 0.2971	LR: 0.004000
Training Epoch: 34 [30464/48700]	Loss: 0.3909	LR: 0.004000
Training Epoch: 34 [30720/48700]	Loss: 0.3770	LR: 0.004000
Training Epoch: 34 [30976/48700]	Loss: 0.3672	LR: 0.004000
Training Epoch: 34 [31232/48700]	Loss: 0.3293	LR: 0.004000
Training Epoch: 34 [31488/48700]	Loss: 0.3563	LR: 0.004000
Training Epoch: 34 [31744/48700]	Loss: 0.3334	LR: 0.004000
Training Epoch: 34 [32000/48700]	Loss: 0.2451	LR: 0.004000
Training Epoch: 34 [32256/48700]	Loss: 0.2732	LR: 0.004000
Training Epoch: 34 [32512/48700]	Loss: 0.3415	LR: 0.004000
Training Epoch: 34 [32768/48700]	Loss: 0.4164	LR: 0.004000
Training Epoch: 34 [33024/48700]	Loss: 0.2785	LR: 0.004000
Training Epoch: 34 [33280/48700]	Loss: 0.3449	LR: 0.004000
Training Epoch: 34 [33536/48700]	Loss: 0.3095	LR: 0.004000
Training Epoch: 34 [33792/48700]	Loss: 0.3247	LR: 0.004000
Training Epoch: 34 [34048/48700]	Loss: 0.3203	LR: 0.004000
Training Epoch: 34 [34304/48700]	Loss: 0.3797	LR: 0.004000
Training Epoch: 34 [34560/48700]	Loss: 0.2690	LR: 0.004000
Training Epoch: 34 [34816/48700]	Loss: 0.4065	LR: 0.004000
Training Epoch: 34 [35072/48700]	Loss: 0.4452	LR: 0.004000
Training Epoch: 34 [35328/48700]	Loss: 0.3355	LR: 0.004000
Training Epoch: 34 [35584/48700]	Loss: 0.2895	LR: 0.004000
Training Epoch: 34 [35840/48700]	Loss: 0.3221	LR: 0.004000
Training Epoch: 34 [36096/48700]	Loss: 0.3430	LR: 0.004000
Training Epoch: 34 [36352/48700]	Loss: 0.2527	LR: 0.004000
Training Epoch: 34 [36608/48700]	Loss: 0.2435	LR: 0.004000
Training Epoch: 34 [36864/48700]	Loss: 0.3174	LR: 0.004000
Training Epoch: 34 [37120/48700]	Loss: 0.4043	LR: 0.004000
Training Epoch: 34 [37376/48700]	Loss: 0.3171	LR: 0.004000
Training Epoch: 34 [37632/48700]	Loss: 0.3686	LR: 0.004000
Training Epoch: 34 [37888/48700]	Loss: 0.3354	LR: 0.004000
Training Epoch: 34 [38144/48700]	Loss: 0.3278	LR: 0.004000
Training Epoch: 34 [38400/48700]	Loss: 0.3333	LR: 0.004000
Training Epoch: 34 [38656/48700]	Loss: 0.4129	LR: 0.004000
Training Epoch: 34 [38912/48700]	Loss: 0.3223	LR: 0.004000
Training Epoch: 34 [39168/48700]	Loss: 0.3230	LR: 0.004000
Training Epoch: 34 [39424/48700]	Loss: 0.3298	LR: 0.004000
Training Epoch: 34 [39680/48700]	Loss: 0.3845	LR: 0.004000
Training Epoch: 34 [39936/48700]	Loss: 0.3461	LR: 0.004000
Training Epoch: 34 [40192/48700]	Loss: 0.3235	LR: 0.004000
Training Epoch: 34 [40448/48700]	Loss: 0.3137	LR: 0.004000
Training Epoch: 34 [40704/48700]	Loss: 0.3836	LR: 0.004000
Training Epoch: 34 [40960/48700]	Loss: 0.3062	LR: 0.004000
Training Epoch: 34 [41216/48700]	Loss: 0.3709	LR: 0.004000
Training Epoch: 34 [41472/48700]	Loss: 0.3305	LR: 0.004000
Training Epoch: 34 [41728/48700]	Loss: 0.4107	LR: 0.004000
Training Epoch: 34 [41984/48700]	Loss: 0.3834	LR: 0.004000
Training Epoch: 34 [42240/48700]	Loss: 0.2691	LR: 0.004000
Training Epoch: 34 [42496/48700]	Loss: 0.3467	LR: 0.004000
Training Epoch: 34 [42752/48700]	Loss: 0.3679	LR: 0.004000
Training Epoch: 34 [43008/48700]	Loss: 0.3127	LR: 0.004000
Training Epoch: 34 [43264/48700]	Loss: 0.2524	LR: 0.004000
Training Epoch: 34 [43520/48700]	Loss: 0.2935	LR: 0.004000
Training Epoch: 34 [43776/48700]	Loss: 0.3381	LR: 0.004000
Training Epoch: 34 [44032/48700]	Loss: 0.3459	LR: 0.004000
Training Epoch: 34 [44288/48700]	Loss: 0.2800	LR: 0.004000
Training Epoch: 34 [44544/48700]	Loss: 0.3920	LR: 0.004000
Training Epoch: 34 [44800/48700]	Loss: 0.3094	LR: 0.004000
Training Epoch: 34 [45056/48700]	Loss: 0.3122	LR: 0.004000
Training Epoch: 34 [45312/48700]	Loss: 0.3562	LR: 0.004000
Training Epoch: 34 [45568/48700]	Loss: 0.3759	LR: 0.004000
Training Epoch: 34 [45824/48700]	Loss: 0.2671	LR: 0.004000
Training Epoch: 34 [46080/48700]	Loss: 0.2939	LR: 0.004000
Training Epoch: 34 [46336/48700]	Loss: 0.3054	LR: 0.004000
Training Epoch: 34 [46592/48700]	Loss: 0.3591	LR: 0.004000
Training Epoch: 34 [46848/48700]	Loss: 0.3185	LR: 0.004000
Training Epoch: 34 [47104/48700]	Loss: 0.3415	LR: 0.004000
Training Epoch: 34 [47360/48700]	Loss: 0.3749	LR: 0.004000
Training Epoch: 34 [47616/48700]	Loss: 0.3072	LR: 0.004000
Training Epoch: 34 [47872/48700]	Loss: 0.3782	LR: 0.004000
Training Epoch: 34 [48128/48700]	Loss: 0.3303	LR: 0.004000
Training Epoch: 34 [48384/48700]	Loss: 0.3580	LR: 0.004000
Training Epoch: 34 [48640/48700]	Loss: 0.3383	LR: 0.004000
Training Epoch: 34 [48700/48700]	Loss: 0.6328	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3309, Train Accuracy: 0.8972
Epoch 34 training time consumed: 26.94s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7805, Time consumed:0.90s
Training Epoch: 35 [256/48700]	Loss: 0.3050	LR: 0.000800
Training Epoch: 35 [512/48700]	Loss: 0.2774	LR: 0.000800
Training Epoch: 35 [768/48700]	Loss: 0.2659	LR: 0.000800
Training Epoch: 35 [1024/48700]	Loss: 0.3038	LR: 0.000800
Training Epoch: 35 [1280/48700]	Loss: 0.2409	LR: 0.000800
Training Epoch: 35 [1536/48700]	Loss: 0.3245	LR: 0.000800
Training Epoch: 35 [1792/48700]	Loss: 0.3760	LR: 0.000800
Training Epoch: 35 [2048/48700]	Loss: 0.3325	LR: 0.000800
Training Epoch: 35 [2304/48700]	Loss: 0.2865	LR: 0.000800
Training Epoch: 35 [2560/48700]	Loss: 0.3526	LR: 0.000800
Training Epoch: 35 [2816/48700]	Loss: 0.2190	LR: 0.000800
Training Epoch: 35 [3072/48700]	Loss: 0.3447	LR: 0.000800
Training Epoch: 35 [3328/48700]	Loss: 0.3041	LR: 0.000800
Training Epoch: 35 [3584/48700]	Loss: 0.3060	LR: 0.000800
Training Epoch: 35 [3840/48700]	Loss: 0.2740	LR: 0.000800
Training Epoch: 35 [4096/48700]	Loss: 0.3071	LR: 0.000800
Training Epoch: 35 [4352/48700]	Loss: 0.3117	LR: 0.000800
Training Epoch: 35 [4608/48700]	Loss: 0.2464	LR: 0.000800
Training Epoch: 35 [4864/48700]	Loss: 0.2728	LR: 0.000800
Training Epoch: 35 [5120/48700]	Loss: 0.3886	LR: 0.000800
Training Epoch: 35 [5376/48700]	Loss: 0.3544	LR: 0.000800
Training Epoch: 35 [5632/48700]	Loss: 0.3161	LR: 0.000800
Training Epoch: 35 [5888/48700]	Loss: 0.3105	LR: 0.000800
Training Epoch: 35 [6144/48700]	Loss: 0.2594	LR: 0.000800
Training Epoch: 35 [6400/48700]	Loss: 0.2696	LR: 0.000800
Training Epoch: 35 [6656/48700]	Loss: 0.2129	LR: 0.000800
Training Epoch: 35 [6912/48700]	Loss: 0.2937	LR: 0.000800
Training Epoch: 35 [7168/48700]	Loss: 0.2194	LR: 0.000800
Training Epoch: 35 [7424/48700]	Loss: 0.3581	LR: 0.000800
Training Epoch: 35 [7680/48700]	Loss: 0.3377	LR: 0.000800
Training Epoch: 35 [7936/48700]	Loss: 0.2982	LR: 0.000800
Training Epoch: 35 [8192/48700]	Loss: 0.3296	LR: 0.000800
Training Epoch: 35 [8448/48700]	Loss: 0.3005	LR: 0.000800
Training Epoch: 35 [8704/48700]	Loss: 0.3288	LR: 0.000800
Training Epoch: 35 [8960/48700]	Loss: 0.3114	LR: 0.000800
Training Epoch: 35 [9216/48700]	Loss: 0.3010	LR: 0.000800
Training Epoch: 35 [9472/48700]	Loss: 0.3071	LR: 0.000800
Training Epoch: 35 [9728/48700]	Loss: 0.4579	LR: 0.000800
Training Epoch: 35 [9984/48700]	Loss: 0.2753	LR: 0.000800
Training Epoch: 35 [10240/48700]	Loss: 0.3346	LR: 0.000800
Training Epoch: 35 [10496/48700]	Loss: 0.2766	LR: 0.000800
Training Epoch: 35 [10752/48700]	Loss: 0.2460	LR: 0.000800
Training Epoch: 35 [11008/48700]	Loss: 0.3033	LR: 0.000800
Training Epoch: 35 [11264/48700]	Loss: 0.3678	LR: 0.000800
Training Epoch: 35 [11520/48700]	Loss: 0.3176	LR: 0.000800
Training Epoch: 35 [11776/48700]	Loss: 0.2690	LR: 0.000800
Training Epoch: 35 [12032/48700]	Loss: 0.2707	LR: 0.000800
Training Epoch: 35 [12288/48700]	Loss: 0.2914	LR: 0.000800
Training Epoch: 35 [12544/48700]	Loss: 0.3135	LR: 0.000800
Training Epoch: 35 [12800/48700]	Loss: 0.3738	LR: 0.000800
Training Epoch: 35 [13056/48700]	Loss: 0.3602	LR: 0.000800
Training Epoch: 35 [13312/48700]	Loss: 0.1966	LR: 0.000800
Training Epoch: 35 [13568/48700]	Loss: 0.3131	LR: 0.000800
Training Epoch: 35 [13824/48700]	Loss: 0.2991	LR: 0.000800
Training Epoch: 35 [14080/48700]	Loss: 0.2760	LR: 0.000800
Training Epoch: 35 [14336/48700]	Loss: 0.2557	LR: 0.000800
Training Epoch: 35 [14592/48700]	Loss: 0.3916	LR: 0.000800
Training Epoch: 35 [14848/48700]	Loss: 0.2978	LR: 0.000800
Training Epoch: 35 [15104/48700]	Loss: 0.2887	LR: 0.000800
Training Epoch: 35 [15360/48700]	Loss: 0.3459	LR: 0.000800
Training Epoch: 35 [15616/48700]	Loss: 0.3107	LR: 0.000800
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Training Epoch: 35 [45568/48700]	Loss: 0.2691	LR: 0.000800
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Training Epoch: 35 [46080/48700]	Loss: 0.3091	LR: 0.000800
Training Epoch: 35 [46336/48700]	Loss: 0.3220	LR: 0.000800
Training Epoch: 35 [46592/48700]	Loss: 0.3240	LR: 0.000800
Training Epoch: 35 [46848/48700]	Loss: 0.2993	LR: 0.000800
Training Epoch: 35 [47104/48700]	Loss: 0.2781	LR: 0.000800
Training Epoch: 35 [47360/48700]	Loss: 0.3504	LR: 0.000800
Training Epoch: 35 [47616/48700]	Loss: 0.2178	LR: 0.000800
Training Epoch: 35 [47872/48700]	Loss: 0.3497	LR: 0.000800
Training Epoch: 35 [48128/48700]	Loss: 0.2881	LR: 0.000800
Training Epoch: 35 [48384/48700]	Loss: 0.3093	LR: 0.000800
Training Epoch: 35 [48640/48700]	Loss: 0.2622	LR: 0.000800
Training Epoch: 35 [48700/48700]	Loss: 0.2917	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3028, Train Accuracy: 0.9082
Epoch 35 training time consumed: 26.88s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7859, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-35-best.pth
Training Epoch: 36 [256/48700]	Loss: 0.3312	LR: 0.000800
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Training Epoch: 36 [1536/48700]	Loss: 0.2659	LR: 0.000800
Training Epoch: 36 [1792/48700]	Loss: 0.3301	LR: 0.000800
Training Epoch: 36 [2048/48700]	Loss: 0.2684	LR: 0.000800
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Training Epoch: 36 [36096/48700]	Loss: 0.2690	LR: 0.000800
Training Epoch: 36 [36352/48700]	Loss: 0.2967	LR: 0.000800
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Training Epoch: 36 [39680/48700]	Loss: 0.2501	LR: 0.000800
Training Epoch: 36 [39936/48700]	Loss: 0.3195	LR: 0.000800
Training Epoch: 36 [40192/48700]	Loss: 0.2962	LR: 0.000800
Training Epoch: 36 [40448/48700]	Loss: 0.3053	LR: 0.000800
Training Epoch: 36 [40704/48700]	Loss: 0.3033	LR: 0.000800
Training Epoch: 36 [40960/48700]	Loss: 0.2812	LR: 0.000800
Training Epoch: 36 [41216/48700]	Loss: 0.2949	LR: 0.000800
Training Epoch: 36 [41472/48700]	Loss: 0.3179	LR: 0.000800
Training Epoch: 36 [41728/48700]	Loss: 0.3310	LR: 0.000800
Training Epoch: 36 [41984/48700]	Loss: 0.3599	LR: 0.000800
Training Epoch: 36 [42240/48700]	Loss: 0.2564	LR: 0.000800
Training Epoch: 36 [42496/48700]	Loss: 0.3029	LR: 0.000800
Training Epoch: 36 [42752/48700]	Loss: 0.2970	LR: 0.000800
Training Epoch: 36 [43008/48700]	Loss: 0.3365	LR: 0.000800
Training Epoch: 36 [43264/48700]	Loss: 0.4067	LR: 0.000800
Training Epoch: 36 [43520/48700]	Loss: 0.3325	LR: 0.000800
Training Epoch: 36 [43776/48700]	Loss: 0.3715	LR: 0.000800
Training Epoch: 36 [44032/48700]	Loss: 0.2870	LR: 0.000800
Training Epoch: 36 [44288/48700]	Loss: 0.2817	LR: 0.000800
Training Epoch: 36 [44544/48700]	Loss: 0.3563	LR: 0.000800
Training Epoch: 36 [44800/48700]	Loss: 0.3767	LR: 0.000800
Training Epoch: 36 [45056/48700]	Loss: 0.3213	LR: 0.000800
Training Epoch: 36 [45312/48700]	Loss: 0.2844	LR: 0.000800
Training Epoch: 36 [45568/48700]	Loss: 0.2685	LR: 0.000800
Training Epoch: 36 [45824/48700]	Loss: 0.3504	LR: 0.000800
Training Epoch: 36 [46080/48700]	Loss: 0.2801	LR: 0.000800
Training Epoch: 36 [46336/48700]	Loss: 0.3190	LR: 0.000800
Training Epoch: 36 [46592/48700]	Loss: 0.2732	LR: 0.000800
Training Epoch: 36 [46848/48700]	Loss: 0.3086	LR: 0.000800
Training Epoch: 36 [47104/48700]	Loss: 0.2862	LR: 0.000800
Training Epoch: 36 [47360/48700]	Loss: 0.3369	LR: 0.000800
Training Epoch: 36 [47616/48700]	Loss: 0.2518	LR: 0.000800
Training Epoch: 36 [47872/48700]	Loss: 0.3469	LR: 0.000800
Training Epoch: 36 [48128/48700]	Loss: 0.2159	LR: 0.000800
Training Epoch: 36 [48384/48700]	Loss: 0.3286	LR: 0.000800
Training Epoch: 36 [48640/48700]	Loss: 0.3362	LR: 0.000800
Training Epoch: 36 [48700/48700]	Loss: 0.5454	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2985, Train Accuracy: 0.9102
Epoch 36 training time consumed: 27.26s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.7856, Time consumed:0.91s
Training Epoch: 37 [256/48700]	Loss: 0.3173	LR: 0.000800
Training Epoch: 37 [512/48700]	Loss: 0.3258	LR: 0.000800
Training Epoch: 37 [768/48700]	Loss: 0.2495	LR: 0.000800
Training Epoch: 37 [1024/48700]	Loss: 0.2906	LR: 0.000800
Training Epoch: 37 [1280/48700]	Loss: 0.2960	LR: 0.000800
Training Epoch: 37 [1536/48700]	Loss: 0.2408	LR: 0.000800
Training Epoch: 37 [1792/48700]	Loss: 0.2204	LR: 0.000800
Training Epoch: 37 [2048/48700]	Loss: 0.2451	LR: 0.000800
Training Epoch: 37 [2304/48700]	Loss: 0.2394	LR: 0.000800
Training Epoch: 37 [2560/48700]	Loss: 0.3546	LR: 0.000800
Training Epoch: 37 [2816/48700]	Loss: 0.3376	LR: 0.000800
Training Epoch: 37 [3072/48700]	Loss: 0.2669	LR: 0.000800
Training Epoch: 37 [3328/48700]	Loss: 0.2967	LR: 0.000800
Training Epoch: 37 [3584/48700]	Loss: 0.3058	LR: 0.000800
Training Epoch: 37 [3840/48700]	Loss: 0.2356	LR: 0.000800
Training Epoch: 37 [4096/48700]	Loss: 0.2829	LR: 0.000800
Training Epoch: 37 [4352/48700]	Loss: 0.2892	LR: 0.000800
Training Epoch: 37 [4608/48700]	Loss: 0.3137	LR: 0.000800
Training Epoch: 37 [4864/48700]	Loss: 0.3045	LR: 0.000800
Training Epoch: 37 [5120/48700]	Loss: 0.2582	LR: 0.000800
Training Epoch: 37 [5376/48700]	Loss: 0.3217	LR: 0.000800
Training Epoch: 37 [5632/48700]	Loss: 0.3396	LR: 0.000800
Training Epoch: 37 [5888/48700]	Loss: 0.2518	LR: 0.000800
Training Epoch: 37 [6144/48700]	Loss: 0.2969	LR: 0.000800
Training Epoch: 37 [6400/48700]	Loss: 0.3713	LR: 0.000800
Training Epoch: 37 [6656/48700]	Loss: 0.3727	LR: 0.000800
Training Epoch: 37 [6912/48700]	Loss: 0.2652	LR: 0.000800
Training Epoch: 37 [7168/48700]	Loss: 0.2963	LR: 0.000800
Training Epoch: 37 [7424/48700]	Loss: 0.2384	LR: 0.000800
Training Epoch: 37 [7680/48700]	Loss: 0.2878	LR: 0.000800
Training Epoch: 37 [7936/48700]	Loss: 0.2708	LR: 0.000800
Training Epoch: 37 [8192/48700]	Loss: 0.3072	LR: 0.000800
Training Epoch: 37 [8448/48700]	Loss: 0.2499	LR: 0.000800
Training Epoch: 37 [8704/48700]	Loss: 0.2562	LR: 0.000800
Training Epoch: 37 [8960/48700]	Loss: 0.2913	LR: 0.000800
Training Epoch: 37 [9216/48700]	Loss: 0.2433	LR: 0.000800
Training Epoch: 37 [9472/48700]	Loss: 0.3601	LR: 0.000800
Training Epoch: 37 [9728/48700]	Loss: 0.3299	LR: 0.000800
Training Epoch: 37 [9984/48700]	Loss: 0.2319	LR: 0.000800
Training Epoch: 37 [10240/48700]	Loss: 0.3415	LR: 0.000800
Training Epoch: 37 [10496/48700]	Loss: 0.3033	LR: 0.000800
Training Epoch: 37 [10752/48700]	Loss: 0.2643	LR: 0.000800
Training Epoch: 37 [11008/48700]	Loss: 0.3240	LR: 0.000800
Training Epoch: 37 [11264/48700]	Loss: 0.3402	LR: 0.000800
Training Epoch: 37 [11520/48700]	Loss: 0.2681	LR: 0.000800
Training Epoch: 37 [11776/48700]	Loss: 0.2432	LR: 0.000800
Training Epoch: 37 [12032/48700]	Loss: 0.3205	LR: 0.000800
Training Epoch: 37 [12288/48700]	Loss: 0.2976	LR: 0.000800
Training Epoch: 37 [12544/48700]	Loss: 0.2866	LR: 0.000800
Training Epoch: 37 [12800/48700]	Loss: 0.2970	LR: 0.000800
Training Epoch: 37 [13056/48700]	Loss: 0.2821	LR: 0.000800
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Training Epoch: 37 [13568/48700]	Loss: 0.2559	LR: 0.000800
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Training Epoch: 37 [14080/48700]	Loss: 0.2671	LR: 0.000800
Training Epoch: 37 [14336/48700]	Loss: 0.2719	LR: 0.000800
Training Epoch: 37 [14592/48700]	Loss: 0.3210	LR: 0.000800
Training Epoch: 37 [14848/48700]	Loss: 0.2285	LR: 0.000800
Training Epoch: 37 [15104/48700]	Loss: 0.3743	LR: 0.000800
Training Epoch: 37 [15360/48700]	Loss: 0.3142	LR: 0.000800
Training Epoch: 37 [15616/48700]	Loss: 0.2891	LR: 0.000800
Training Epoch: 37 [15872/48700]	Loss: 0.3271	LR: 0.000800
Training Epoch: 37 [16128/48700]	Loss: 0.3353	LR: 0.000800
Training Epoch: 37 [16384/48700]	Loss: 0.3007	LR: 0.000800
Training Epoch: 37 [16640/48700]	Loss: 0.2463	LR: 0.000800
Training Epoch: 37 [16896/48700]	Loss: 0.3468	LR: 0.000800
Training Epoch: 37 [17152/48700]	Loss: 0.3504	LR: 0.000800
Training Epoch: 37 [17408/48700]	Loss: 0.3030	LR: 0.000800
Training Epoch: 37 [17664/48700]	Loss: 0.2844	LR: 0.000800
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Training Epoch: 37 [18176/48700]	Loss: 0.3382	LR: 0.000800
Training Epoch: 37 [18432/48700]	Loss: 0.3189	LR: 0.000800
Training Epoch: 37 [18688/48700]	Loss: 0.3055	LR: 0.000800
Training Epoch: 37 [18944/48700]	Loss: 0.2460	LR: 0.000800
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Training Epoch: 37 [19456/48700]	Loss: 0.2963	LR: 0.000800
Training Epoch: 37 [19712/48700]	Loss: 0.2949	LR: 0.000800
Training Epoch: 37 [19968/48700]	Loss: 0.2355	LR: 0.000800
Training Epoch: 37 [20224/48700]	Loss: 0.2944	LR: 0.000800
Training Epoch: 37 [20480/48700]	Loss: 0.2746	LR: 0.000800
Training Epoch: 37 [20736/48700]	Loss: 0.3078	LR: 0.000800
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Training Epoch: 37 [21248/48700]	Loss: 0.2315	LR: 0.000800
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Training Epoch: 37 [22016/48700]	Loss: 0.2594	LR: 0.000800
Training Epoch: 37 [22272/48700]	Loss: 0.3369	LR: 0.000800
Training Epoch: 37 [22528/48700]	Loss: 0.2781	LR: 0.000800
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Training Epoch: 37 [23040/48700]	Loss: 0.3017	LR: 0.000800
Training Epoch: 37 [23296/48700]	Loss: 0.2887	LR: 0.000800
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Training Epoch: 37 [23808/48700]	Loss: 0.3195	LR: 0.000800
Training Epoch: 37 [24064/48700]	Loss: 0.2996	LR: 0.000800
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Training Epoch: 37 [25344/48700]	Loss: 0.2883	LR: 0.000800
Training Epoch: 37 [25600/48700]	Loss: 0.3431	LR: 0.000800
Training Epoch: 37 [25856/48700]	Loss: 0.2554	LR: 0.000800
Training Epoch: 37 [26112/48700]	Loss: 0.2989	LR: 0.000800
Training Epoch: 37 [26368/48700]	Loss: 0.2791	LR: 0.000800
Training Epoch: 37 [26624/48700]	Loss: 0.3044	LR: 0.000800
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Training Epoch: 37 [27392/48700]	Loss: 0.3421	LR: 0.000800
Training Epoch: 37 [27648/48700]	Loss: 0.3190	LR: 0.000800
Training Epoch: 37 [27904/48700]	Loss: 0.2817	LR: 0.000800
Training Epoch: 37 [28160/48700]	Loss: 0.2937	LR: 0.000800
Training Epoch: 37 [28416/48700]	Loss: 0.2363	LR: 0.000800
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Training Epoch: 37 [28928/48700]	Loss: 0.3179	LR: 0.000800
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Training Epoch: 37 [37632/48700]	Loss: 0.3527	LR: 0.000800
Training Epoch: 37 [37888/48700]	Loss: 0.2874	LR: 0.000800
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Training Epoch: 37 [40192/48700]	Loss: 0.2691	LR: 0.000800
Training Epoch: 37 [40448/48700]	Loss: 0.3536	LR: 0.000800
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Training Epoch: 37 [40960/48700]	Loss: 0.2710	LR: 0.000800
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Training Epoch: 37 [41728/48700]	Loss: 0.2863	LR: 0.000800
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Training Epoch: 37 [42496/48700]	Loss: 0.2882	LR: 0.000800
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Training Epoch: 37 [43520/48700]	Loss: 0.3092	LR: 0.000800
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Training Epoch: 37 [45056/48700]	Loss: 0.2960	LR: 0.000800
Training Epoch: 37 [45312/48700]	Loss: 0.2902	LR: 0.000800
Training Epoch: 37 [45568/48700]	Loss: 0.2913	LR: 0.000800
Training Epoch: 37 [45824/48700]	Loss: 0.2524	LR: 0.000800
Training Epoch: 37 [46080/48700]	Loss: 0.2736	LR: 0.000800
Training Epoch: 37 [46336/48700]	Loss: 0.2421	LR: 0.000800
Training Epoch: 37 [46592/48700]	Loss: 0.2998	LR: 0.000800
Training Epoch: 37 [46848/48700]	Loss: 0.2586	LR: 0.000800
Training Epoch: 37 [47104/48700]	Loss: 0.3099	LR: 0.000800
Training Epoch: 37 [47360/48700]	Loss: 0.3372	LR: 0.000800
Training Epoch: 37 [47616/48700]	Loss: 0.2610	LR: 0.000800
Training Epoch: 37 [47872/48700]	Loss: 0.2863	LR: 0.000800
Training Epoch: 37 [48128/48700]	Loss: 0.2686	LR: 0.000800
Training Epoch: 37 [48384/48700]	Loss: 0.2701	LR: 0.000800
Training Epoch: 37 [48640/48700]	Loss: 0.3374	LR: 0.000800
Training Epoch: 37 [48700/48700]	Loss: 0.3667	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2931, Train Accuracy: 0.9118
Epoch 37 training time consumed: 26.95s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.7879, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_07h_46m_25s/AllCNN-Cifar20-seed4-ret75-37-best.pth
Training Epoch: 38 [256/48700]	Loss: 0.3135	LR: 0.000800
Training Epoch: 38 [512/48700]	Loss: 0.2029	LR: 0.000800
Training Epoch: 38 [768/48700]	Loss: 0.3092	LR: 0.000800
Training Epoch: 38 [1024/48700]	Loss: 0.3193	LR: 0.000800
Training Epoch: 38 [1280/48700]	Loss: 0.2752	LR: 0.000800
Training Epoch: 38 [1536/48700]	Loss: 0.2723	LR: 0.000800
Training Epoch: 38 [1792/48700]	Loss: 0.3281	LR: 0.000800
Training Epoch: 38 [2048/48700]	Loss: 0.3806	LR: 0.000800
Training Epoch: 38 [2304/48700]	Loss: 0.2756	LR: 0.000800
Training Epoch: 38 [2560/48700]	Loss: 0.3241	LR: 0.000800
Training Epoch: 38 [2816/48700]	Loss: 0.2737	LR: 0.000800
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Training Epoch: 38 [3328/48700]	Loss: 0.2796	LR: 0.000800
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Training Epoch: 38 [3840/48700]	Loss: 0.2565	LR: 0.000800
Training Epoch: 38 [4096/48700]	Loss: 0.2318	LR: 0.000800
Training Epoch: 38 [4352/48700]	Loss: 0.2884	LR: 0.000800
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Training Epoch: 38 [5888/48700]	Loss: 0.2703	LR: 0.000800
Training Epoch: 38 [6144/48700]	Loss: 0.3188	LR: 0.000800
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Training Epoch: 38 [11008/48700]	Loss: 0.2389	LR: 0.000800
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Training Epoch: 38 [14336/48700]	Loss: 0.3148	LR: 0.000800
Training Epoch: 38 [14592/48700]	Loss: 0.2958	LR: 0.000800
Training Epoch: 38 [14848/48700]	Loss: 0.2723	LR: 0.000800
Training Epoch: 38 [15104/48700]	Loss: 0.3367	LR: 0.000800
Training Epoch: 38 [15360/48700]	Loss: 0.2707	LR: 0.000800
Training Epoch: 38 [15616/48700]	Loss: 0.2468	LR: 0.000800
Training Epoch: 38 [15872/48700]	Loss: 0.2337	LR: 0.000800
Training Epoch: 38 [16128/48700]	Loss: 0.2673	LR: 0.000800
Training Epoch: 38 [16384/48700]	Loss: 0.2975	LR: 0.000800
Training Epoch: 38 [16640/48700]	Loss: 0.2803	LR: 0.000800
Training Epoch: 38 [16896/48700]	Loss: 0.2310	LR: 0.000800
Training Epoch: 38 [17152/48700]	Loss: 0.3127	LR: 0.000800
Training Epoch: 38 [17408/48700]	Loss: 0.3200	LR: 0.000800
Training Epoch: 38 [17664/48700]	Loss: 0.2932	LR: 0.000800
Training Epoch: 38 [17920/48700]	Loss: 0.2379	LR: 0.000800
Training Epoch: 38 [18176/48700]	Loss: 0.2316	LR: 0.000800
Training Epoch: 38 [18432/48700]	Loss: 0.2909	LR: 0.000800
Training Epoch: 38 [18688/48700]	Loss: 0.2747	LR: 0.000800
Training Epoch: 38 [18944/48700]	Loss: 0.3003	LR: 0.000800
Training Epoch: 38 [19200/48700]	Loss: 0.2945	LR: 0.000800
Training Epoch: 38 [19456/48700]	Loss: 0.2786	LR: 0.000800
Training Epoch: 38 [19712/48700]	Loss: 0.3380	LR: 0.000800
Training Epoch: 38 [19968/48700]	Loss: 0.3177	LR: 0.000800
Training Epoch: 38 [20224/48700]	Loss: 0.3478	LR: 0.000800
Training Epoch: 38 [20480/48700]	Loss: 0.2776	LR: 0.000800
Training Epoch: 38 [20736/48700]	Loss: 0.2271	LR: 0.000800
Training Epoch: 38 [20992/48700]	Loss: 0.2393	LR: 0.000800
Training Epoch: 38 [21248/48700]	Loss: 0.2328	LR: 0.000800
Training Epoch: 38 [21504/48700]	Loss: 0.2695	LR: 0.000800
Training Epoch: 38 [21760/48700]	Loss: 0.2760	LR: 0.000800
Training Epoch: 38 [22016/48700]	Loss: 0.3027	LR: 0.000800
Training Epoch: 38 [22272/48700]	Loss: 0.3707	LR: 0.000800
Training Epoch: 38 [22528/48700]	Loss: 0.2890	LR: 0.000800
Training Epoch: 38 [22784/48700]	Loss: 0.2574	LR: 0.000800
Training Epoch: 38 [23040/48700]	Loss: 0.2549	LR: 0.000800
Training Epoch: 38 [23296/48700]	Loss: 0.3607	LR: 0.000800
Training Epoch: 38 [23552/48700]	Loss: 0.2857	LR: 0.000800
Training Epoch: 38 [23808/48700]	Loss: 0.2637	LR: 0.000800
Training Epoch: 38 [24064/48700]	Loss: 0.2275	LR: 0.000800
Training Epoch: 38 [24320/48700]	Loss: 0.2255	LR: 0.000800
Training Epoch: 38 [24576/48700]	Loss: 0.2685	LR: 0.000800
Training Epoch: 38 [24832/48700]	Loss: 0.2834	LR: 0.000800
Training Epoch: 38 [25088/48700]	Loss: 0.3498	LR: 0.000800
Training Epoch: 38 [25344/48700]	Loss: 0.2934	LR: 0.000800
Training Epoch: 38 [25600/48700]	Loss: 0.3469	LR: 0.000800
Training Epoch: 38 [25856/48700]	Loss: 0.2482	LR: 0.000800
Training Epoch: 38 [26112/48700]	Loss: 0.2508	LR: 0.000800
Training Epoch: 38 [26368/48700]	Loss: 0.3074	LR: 0.000800
Training Epoch: 38 [26624/48700]	Loss: 0.3775	LR: 0.000800
Training Epoch: 38 [26880/48700]	Loss: 0.2838	LR: 0.000800
Training Epoch: 38 [27136/48700]	Loss: 0.3282	LR: 0.000800
Training Epoch: 38 [27392/48700]	Loss: 0.3310	LR: 0.000800
Training Epoch: 38 [27648/48700]	Loss: 0.3614	LR: 0.000800
Training Epoch: 38 [27904/48700]	Loss: 0.2509	LR: 0.000800
Training Epoch: 38 [28160/48700]	Loss: 0.2645	LR: 0.000800
Training Epoch: 38 [28416/48700]	Loss: 0.3006	LR: 0.000800
Training Epoch: 38 [28672/48700]	Loss: 0.2752	LR: 0.000800
Training Epoch: 38 [28928/48700]	Loss: 0.3549	LR: 0.000800
Training Epoch: 38 [29184/48700]	Loss: 0.2638	LR: 0.000800
Training Epoch: 38 [29440/48700]	Loss: 0.3128	LR: 0.000800
Training Epoch: 38 [29696/48700]	Loss: 0.2719	LR: 0.000800
Training Epoch: 38 [29952/48700]	Loss: 0.2639	LR: 0.000800
Training Epoch: 38 [30208/48700]	Loss: 0.3269	LR: 0.000800
Training Epoch: 38 [30464/48700]	Loss: 0.3074	LR: 0.000800
Training Epoch: 38 [30720/48700]	Loss: 0.3344	LR: 0.000800
Training Epoch: 38 [30976/48700]	Loss: 0.3096	LR: 0.000800
Training Epoch: 38 [31232/48700]	Loss: 0.3344	LR: 0.000800
Training Epoch: 38 [31488/48700]	Loss: 0.2743	LR: 0.000800
Training Epoch: 38 [31744/48700]	Loss: 0.3353	LR: 0.000800
Training Epoch: 38 [32000/48700]	Loss: 0.4084	LR: 0.000800
Training Epoch: 38 [32256/48700]	Loss: 0.2334	LR: 0.000800
Training Epoch: 38 [32512/48700]	Loss: 0.2846	LR: 0.000800
Training Epoch: 38 [32768/48700]	Loss: 0.3573	LR: 0.000800
Training Epoch: 38 [33024/48700]	Loss: 0.2544	LR: 0.000800
Training Epoch: 38 [33280/48700]	Loss: 0.3633	LR: 0.000800
Training Epoch: 38 [33536/48700]	Loss: 0.2870	LR: 0.000800
Training Epoch: 38 [33792/48700]	Loss: 0.3229	LR: 0.000800
Training Epoch: 38 [34048/48700]	Loss: 0.3484	LR: 0.000800
Training Epoch: 38 [34304/48700]	Loss: 0.2249	LR: 0.000800
Training Epoch: 38 [34560/48700]	Loss: 0.2473	LR: 0.000800
Training Epoch: 38 [34816/48700]	Loss: 0.3056	LR: 0.000800
Training Epoch: 38 [35072/48700]	Loss: 0.3523	LR: 0.000800
Training Epoch: 38 [35328/48700]	Loss: 0.3029	LR: 0.000800
Training Epoch: 38 [35584/48700]	Loss: 0.3249	LR: 0.000800
Training Epoch: 38 [35840/48700]	Loss: 0.3254	LR: 0.000800
Training Epoch: 38 [36096/48700]	Loss: 0.2931	LR: 0.000800
Training Epoch: 38 [36352/48700]	Loss: 0.2521	LR: 0.000800
Training Epoch: 38 [36608/48700]	Loss: 0.2381	LR: 0.000800
Training Epoch: 38 [36864/48700]	Loss: 0.3167	LR: 0.000800
Training Epoch: 38 [37120/48700]	Loss: 0.3172	LR: 0.000800
Training Epoch: 38 [37376/48700]	Loss: 0.2656	LR: 0.000800
Training Epoch: 38 [37632/48700]	Loss: 0.3319	LR: 0.000800
Training Epoch: 38 [37888/48700]	Loss: 0.3515	LR: 0.000800
Training Epoch: 38 [38144/48700]	Loss: 0.3398	LR: 0.000800
Training Epoch: 38 [38400/48700]	Loss: 0.3291	LR: 0.000800
Training Epoch: 38 [38656/48700]	Loss: 0.2905	LR: 0.000800
Training Epoch: 38 [38912/48700]	Loss: 0.2057	LR: 0.000800
Training Epoch: 38 [39168/48700]	Loss: 0.2874	LR: 0.000800
Training Epoch: 38 [39424/48700]	Loss: 0.3657	LR: 0.000800
Training Epoch: 38 [39680/48700]	Loss: 0.3183	LR: 0.000800
Training Epoch: 38 [39936/48700]	Loss: 0.2663	LR: 0.000800
Training Epoch: 38 [40192/48700]	Loss: 0.2241	LR: 0.000800
Training Epoch: 38 [40448/48700]	Loss: 0.2558	LR: 0.000800
Training Epoch: 38 [40704/48700]	Loss: 0.3169	LR: 0.000800
Training Epoch: 38 [40960/48700]	Loss: 0.2863	LR: 0.000800
Training Epoch: 38 [41216/48700]	Loss: 0.2300	LR: 0.000800
Training Epoch: 38 [41472/48700]	Loss: 0.2642	LR: 0.000800
Training Epoch: 38 [41728/48700]	Loss: 0.2874	LR: 0.000800
Training Epoch: 38 [41984/48700]	Loss: 0.3568	LR: 0.000800
Training Epoch: 38 [42240/48700]	Loss: 0.2902	LR: 0.000800
Training Epoch: 38 [42496/48700]	Loss: 0.4370	LR: 0.000800
Training Epoch: 38 [42752/48700]	Loss: 0.2713	LR: 0.000800
Training Epoch: 38 [43008/48700]	Loss: 0.2954	LR: 0.000800
Training Epoch: 38 [43264/48700]	Loss: 0.3501	LR: 0.000800
Training Epoch: 38 [43520/48700]	Loss: 0.3187	LR: 0.000800
Training Epoch: 38 [43776/48700]	Loss: 0.2360	LR: 0.000800
Training Epoch: 38 [44032/48700]	Loss: 0.3396	LR: 0.000800
Training Epoch: 38 [44288/48700]	Loss: 0.2585	LR: 0.000800
Training Epoch: 38 [44544/48700]	Loss: 0.2286	LR: 0.000800
Training Epoch: 38 [44800/48700]	Loss: 0.3490	LR: 0.000800
Training Epoch: 38 [45056/48700]	Loss: 0.2661	LR: 0.000800
Training Epoch: 38 [45312/48700]	Loss: 0.3326	LR: 0.000800
Training Epoch: 38 [45568/48700]	Loss: 0.2393	LR: 0.000800
Training Epoch: 38 [45824/48700]	Loss: 0.3464	LR: 0.000800
Training Epoch: 38 [46080/48700]	Loss: 0.2465	LR: 0.000800
Training Epoch: 38 [46336/48700]	Loss: 0.3262	LR: 0.000800
Training Epoch: 38 [46592/48700]	Loss: 0.4067	LR: 0.000800
Training Epoch: 38 [46848/48700]	Loss: 0.3419	LR: 0.000800
Training Epoch: 38 [47104/48700]	Loss: 0.3040	LR: 0.000800
Training Epoch: 38 [47360/48700]	Loss: 0.2941	LR: 0.000800
Training Epoch: 38 [47616/48700]	Loss: 0.2673	LR: 0.000800
Training Epoch: 38 [47872/48700]	Loss: 0.2954	LR: 0.000800
Training Epoch: 38 [48128/48700]	Loss: 0.3369	LR: 0.000800
Training Epoch: 38 [48384/48700]	Loss: 0.2821	LR: 0.000800
Training Epoch: 38 [48640/48700]	Loss: 0.3116	LR: 0.000800
Training Epoch: 38 [48700/48700]	Loss: 0.2576	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2918, Train Accuracy: 0.9113
Epoch 38 training time consumed: 26.93s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7873, Time consumed:0.88s
Training Epoch: 39 [256/48700]	Loss: 0.2331	LR: 0.000800
Training Epoch: 39 [512/48700]	Loss: 0.2755	LR: 0.000800
Training Epoch: 39 [768/48700]	Loss: 0.2908	LR: 0.000800
Training Epoch: 39 [1024/48700]	Loss: 0.2636	LR: 0.000800
Training Epoch: 39 [1280/48700]	Loss: 0.2655	LR: 0.000800
Training Epoch: 39 [1536/48700]	Loss: 0.3232	LR: 0.000800
Training Epoch: 39 [1792/48700]	Loss: 0.2451	LR: 0.000800
Training Epoch: 39 [2048/48700]	Loss: 0.3497	LR: 0.000800
Training Epoch: 39 [2304/48700]	Loss: 0.2943	LR: 0.000800
Training Epoch: 39 [2560/48700]	Loss: 0.2927	LR: 0.000800
Training Epoch: 39 [2816/48700]	Loss: 0.3049	LR: 0.000800
Training Epoch: 39 [3072/48700]	Loss: 0.2187	LR: 0.000800
Training Epoch: 39 [3328/48700]	Loss: 0.2832	LR: 0.000800
Training Epoch: 39 [3584/48700]	Loss: 0.3171	LR: 0.000800
Training Epoch: 39 [3840/48700]	Loss: 0.3373	LR: 0.000800
Training Epoch: 39 [4096/48700]	Loss: 0.2488	LR: 0.000800
Training Epoch: 39 [4352/48700]	Loss: 0.3174	LR: 0.000800
Training Epoch: 39 [4608/48700]	Loss: 0.3054	LR: 0.000800
Training Epoch: 39 [4864/48700]	Loss: 0.3319	LR: 0.000800
Training Epoch: 39 [5120/48700]	Loss: 0.2551	LR: 0.000800
Training Epoch: 39 [5376/48700]	Loss: 0.2923	LR: 0.000800
Training Epoch: 39 [5632/48700]	Loss: 0.2916	LR: 0.000800
Training Epoch: 39 [5888/48700]	Loss: 0.2756	LR: 0.000800
Training Epoch: 39 [6144/48700]	Loss: 0.3078	LR: 0.000800
Training Epoch: 39 [6400/48700]	Loss: 0.3038	LR: 0.000800
Training Epoch: 39 [6656/48700]	Loss: 0.2109	LR: 0.000800
Training Epoch: 39 [6912/48700]	Loss: 0.2775	LR: 0.000800
Training Epoch: 39 [7168/48700]	Loss: 0.3045	LR: 0.000800
Training Epoch: 39 [7424/48700]	Loss: 0.3421	LR: 0.000800
Training Epoch: 39 [7680/48700]	Loss: 0.2646	LR: 0.000800
Training Epoch: 39 [7936/48700]	Loss: 0.2584	LR: 0.000800
Training Epoch: 39 [8192/48700]	Loss: 0.2768	LR: 0.000800
Training Epoch: 39 [8448/48700]	Loss: 0.2701	LR: 0.000800
Training Epoch: 39 [8704/48700]	Loss: 0.2988	LR: 0.000800
Training Epoch: 39 [8960/48700]	Loss: 0.3378	LR: 0.000800
Training Epoch: 39 [9216/48700]	Loss: 0.3122	LR: 0.000800
Training Epoch: 39 [9472/48700]	Loss: 0.2041	LR: 0.000800
Training Epoch: 39 [9728/48700]	Loss: 0.2505	LR: 0.000800
Training Epoch: 39 [9984/48700]	Loss: 0.2912	LR: 0.000800
Training Epoch: 39 [10240/48700]	Loss: 0.2634	LR: 0.000800
Training Epoch: 39 [10496/48700]	Loss: 0.2936	LR: 0.000800
Training Epoch: 39 [10752/48700]	Loss: 0.3097	LR: 0.000800
Training Epoch: 39 [11008/48700]	Loss: 0.2802	LR: 0.000800
Training Epoch: 39 [11264/48700]	Loss: 0.2499	LR: 0.000800
Training Epoch: 39 [11520/48700]	Loss: 0.3319	LR: 0.000800
Training Epoch: 39 [11776/48700]	Loss: 0.2917	LR: 0.000800
Training Epoch: 39 [12032/48700]	Loss: 0.3025	LR: 0.000800
Training Epoch: 39 [12288/48700]	Loss: 0.2893	LR: 0.000800
Training Epoch: 39 [12544/48700]	Loss: 0.3388	LR: 0.000800
Training Epoch: 39 [12800/48700]	Loss: 0.2516	LR: 0.000800
Training Epoch: 39 [13056/48700]	Loss: 0.2478	LR: 0.000800
Training Epoch: 39 [13312/48700]	Loss: 0.3097	LR: 0.000800
Training Epoch: 39 [13568/48700]	Loss: 0.2820	LR: 0.000800
Training Epoch: 39 [13824/48700]	Loss: 0.2826	LR: 0.000800
Training Epoch: 39 [14080/48700]	Loss: 0.2563	LR: 0.000800
Training Epoch: 39 [14336/48700]	Loss: 0.3053	LR: 0.000800
Training Epoch: 39 [14592/48700]	Loss: 0.3004	LR: 0.000800
Training Epoch: 39 [14848/48700]	Loss: 0.2951	LR: 0.000800
Training Epoch: 39 [15104/48700]	Loss: 0.3018	LR: 0.000800
Training Epoch: 39 [15360/48700]	Loss: 0.2614	LR: 0.000800
Training Epoch: 39 [15616/48700]	Loss: 0.3223	LR: 0.000800
Training Epoch: 39 [15872/48700]	Loss: 0.3546	LR: 0.000800
Training Epoch: 39 [16128/48700]	Loss: 0.3119	LR: 0.000800
Training Epoch: 39 [16384/48700]	Loss: 0.2580	LR: 0.000800
Training Epoch: 39 [16640/48700]	Loss: 0.2575	LR: 0.000800
Training Epoch: 39 [16896/48700]	Loss: 0.2711	LR: 0.000800
Training Epoch: 39 [17152/48700]	Loss: 0.2946	LR: 0.000800
Training Epoch: 39 [17408/48700]	Loss: 0.2500	LR: 0.000800
Training Epoch: 39 [17664/48700]	Loss: 0.3228	LR: 0.000800
Training Epoch: 39 [17920/48700]	Loss: 0.3694	LR: 0.000800
Training Epoch: 39 [18176/48700]	Loss: 0.2622	LR: 0.000800
Training Epoch: 39 [18432/48700]	Loss: 0.2567	LR: 0.000800
Training Epoch: 39 [18688/48700]	Loss: 0.2491	LR: 0.000800
Training Epoch: 39 [18944/48700]	Loss: 0.3276	LR: 0.000800
Training Epoch: 39 [19200/48700]	Loss: 0.3009	LR: 0.000800
Training Epoch: 39 [19456/48700]	Loss: 0.3240	LR: 0.000800
Training Epoch: 39 [19712/48700]	Loss: 0.3035	LR: 0.000800
Training Epoch: 39 [19968/48700]	Loss: 0.2577	LR: 0.000800
Training Epoch: 39 [20224/48700]	Loss: 0.3099	LR: 0.000800
Training Epoch: 39 [20480/48700]	Loss: 0.2702	LR: 0.000800
Training Epoch: 39 [20736/48700]	Loss: 0.3342	LR: 0.000800
Training Epoch: 39 [20992/48700]	Loss: 0.3145	LR: 0.000800
Training Epoch: 39 [21248/48700]	Loss: 0.2851	LR: 0.000800
Training Epoch: 39 [21504/48700]	Loss: 0.3474	LR: 0.000800
Training Epoch: 39 [21760/48700]	Loss: 0.2966	LR: 0.000800
Training Epoch: 39 [22016/48700]	Loss: 0.2584	LR: 0.000800
Training Epoch: 39 [22272/48700]	Loss: 0.2677	LR: 0.000800
Training Epoch: 39 [22528/48700]	Loss: 0.2491	LR: 0.000800
Training Epoch: 39 [22784/48700]	Loss: 0.3203	LR: 0.000800
Training Epoch: 39 [23040/48700]	Loss: 0.2786	LR: 0.000800
Training Epoch: 39 [23296/48700]	Loss: 0.2787	LR: 0.000800
Training Epoch: 39 [23552/48700]	Loss: 0.2578	LR: 0.000800
Training Epoch: 39 [23808/48700]	Loss: 0.2638	LR: 0.000800
Training Epoch: 39 [24064/48700]	Loss: 0.2782	LR: 0.000800
Training Epoch: 39 [24320/48700]	Loss: 0.3527	LR: 0.000800
Training Epoch: 39 [24576/48700]	Loss: 0.2227	LR: 0.000800
Training Epoch: 39 [24832/48700]	Loss: 0.3039	LR: 0.000800
Training Epoch: 39 [25088/48700]	Loss: 0.2838	LR: 0.000800
Training Epoch: 39 [25344/48700]	Loss: 0.2911	LR: 0.000800
Training Epoch: 39 [25600/48700]	Loss: 0.3019	LR: 0.000800
Training Epoch: 39 [25856/48700]	Loss: 0.2340	LR: 0.000800
Training Epoch: 39 [26112/48700]	Loss: 0.2851	LR: 0.000800
Training Epoch: 39 [26368/48700]	Loss: 0.2359	LR: 0.000800
Training Epoch: 39 [26624/48700]	Loss: 0.2795	LR: 0.000800
Training Epoch: 39 [26880/48700]	Loss: 0.3192	LR: 0.000800
Training Epoch: 39 [27136/48700]	Loss: 0.2989	LR: 0.000800
Training Epoch: 39 [27392/48700]	Loss: 0.2959	LR: 0.000800
Training Epoch: 39 [27648/48700]	Loss: 0.3136	LR: 0.000800
Training Epoch: 39 [27904/48700]	Loss: 0.2947	LR: 0.000800
Training Epoch: 39 [28160/48700]	Loss: 0.2699	LR: 0.000800
Training Epoch: 39 [28416/48700]	Loss: 0.2615	LR: 0.000800
Training Epoch: 39 [28672/48700]	Loss: 0.2782	LR: 0.000800
Training Epoch: 39 [28928/48700]	Loss: 0.2388	LR: 0.000800
Training Epoch: 39 [29184/48700]	Loss: 0.2318	LR: 0.000800
Training Epoch: 39 [29440/48700]	Loss: 0.3659	LR: 0.000800
Training Epoch: 39 [29696/48700]	Loss: 0.1986	LR: 0.000800
Training Epoch: 39 [29952/48700]	Loss: 0.2986	LR: 0.000800
Training Epoch: 39 [30208/48700]	Loss: 0.2654	LR: 0.000800
Training Epoch: 39 [30464/48700]	Loss: 0.2650	LR: 0.000800
Training Epoch: 39 [30720/48700]	Loss: 0.2743	LR: 0.000800
Training Epoch: 39 [30976/48700]	Loss: 0.3487	LR: 0.000800
Training Epoch: 39 [31232/48700]	Loss: 0.2427	LR: 0.000800
Training Epoch: 39 [31488/48700]	Loss: 0.3115	LR: 0.000800
Training Epoch: 39 [31744/48700]	Loss: 0.2737	LR: 0.000800
Training Epoch: 39 [32000/48700]	Loss: 0.2329	LR: 0.000800
Training Epoch: 39 [32256/48700]	Loss: 0.3071	LR: 0.000800
Training Epoch: 39 [32512/48700]	Loss: 0.3354	LR: 0.000800
Training Epoch: 39 [32768/48700]	Loss: 0.2294	LR: 0.000800
Training Epoch: 39 [33024/48700]	Loss: 0.3325	LR: 0.000800
Training Epoch: 39 [33280/48700]	Loss: 0.3218	LR: 0.000800
Training Epoch: 39 [33536/48700]	Loss: 0.2712	LR: 0.000800
Training Epoch: 39 [33792/48700]	Loss: 0.3104	LR: 0.000800
Training Epoch: 39 [34048/48700]	Loss: 0.3215	LR: 0.000800
Training Epoch: 39 [34304/48700]	Loss: 0.2798	LR: 0.000800
Training Epoch: 39 [34560/48700]	Loss: 0.3288	LR: 0.000800
Training Epoch: 39 [34816/48700]	Loss: 0.3316	LR: 0.000800
Training Epoch: 39 [35072/48700]	Loss: 0.3190	LR: 0.000800
Training Epoch: 39 [35328/48700]	Loss: 0.2602	LR: 0.000800
Training Epoch: 39 [35584/48700]	Loss: 0.2960	LR: 0.000800
Training Epoch: 39 [35840/48700]	Loss: 0.2811	LR: 0.000800
Training Epoch: 39 [36096/48700]	Loss: 0.2551	LR: 0.000800
Training Epoch: 39 [36352/48700]	Loss: 0.3318	LR: 0.000800
Training Epoch: 39 [36608/48700]	Loss: 0.2705	LR: 0.000800
Training Epoch: 39 [36864/48700]	Loss: 0.2815	LR: 0.000800
Training Epoch: 39 [37120/48700]	Loss: 0.2755	LR: 0.000800
Training Epoch: 39 [37376/48700]	Loss: 0.2448	LR: 0.000800
Training Epoch: 39 [37632/48700]	Loss: 0.3460	LR: 0.000800
Training Epoch: 39 [37888/48700]	Loss: 0.1949	LR: 0.000800
Training Epoch: 39 [38144/48700]	Loss: 0.3457	LR: 0.000800
Training Epoch: 39 [38400/48700]	Loss: 0.2743	LR: 0.000800
Training Epoch: 39 [38656/48700]	Loss: 0.3478	LR: 0.000800
Training Epoch: 39 [38912/48700]	Loss: 0.2769	LR: 0.000800
Training Epoch: 39 [39168/48700]	Loss: 0.3651	LR: 0.000800
Training Epoch: 39 [39424/48700]	Loss: 0.2822	LR: 0.000800
Training Epoch: 39 [39680/48700]	Loss: 0.2967	LR: 0.000800
Training Epoch: 39 [39936/48700]	Loss: 0.3512	LR: 0.000800
Training Epoch: 39 [40192/48700]	Loss: 0.3042	LR: 0.000800
Training Epoch: 39 [40448/48700]	Loss: 0.2782	LR: 0.000800
Training Epoch: 39 [40704/48700]	Loss: 0.2448	LR: 0.000800
Training Epoch: 39 [40960/48700]	Loss: 0.2654	LR: 0.000800
Training Epoch: 39 [41216/48700]	Loss: 0.3068	LR: 0.000800
Training Epoch: 39 [41472/48700]	Loss: 0.2543	LR: 0.000800
Training Epoch: 39 [41728/48700]	Loss: 0.2137	LR: 0.000800
Training Epoch: 39 [41984/48700]	Loss: 0.2648	LR: 0.000800
Training Epoch: 39 [42240/48700]	Loss: 0.2732	LR: 0.000800
Training Epoch: 39 [42496/48700]	Loss: 0.2781	LR: 0.000800
Training Epoch: 39 [42752/48700]	Loss: 0.3260	LR: 0.000800
Training Epoch: 39 [43008/48700]	Loss: 0.3306	LR: 0.000800
Training Epoch: 39 [43264/48700]	Loss: 0.2512	LR: 0.000800
Training Epoch: 39 [43520/48700]	Loss: 0.3276	LR: 0.000800
Training Epoch: 39 [43776/48700]	Loss: 0.2638	LR: 0.000800
Training Epoch: 39 [44032/48700]	Loss: 0.2926	LR: 0.000800
Training Epoch: 39 [44288/48700]	Loss: 0.3319	LR: 0.000800
Training Epoch: 39 [44544/48700]	Loss: 0.2824	LR: 0.000800
Training Epoch: 39 [44800/48700]	Loss: 0.3027	LR: 0.000800
Training Epoch: 39 [45056/48700]	Loss: 0.3815	LR: 0.000800
Training Epoch: 39 [45312/48700]	Loss: 0.2821	LR: 0.000800
Training Epoch: 39 [45568/48700]	Loss: 0.3075	LR: 0.000800
Training Epoch: 39 [45824/48700]	Loss: 0.2669	LR: 0.000800
Training Epoch: 39 [46080/48700]	Loss: 0.3063	LR: 0.000800
Training Epoch: 39 [46336/48700]	Loss: 0.2567	LR: 0.000800
Training Epoch: 39 [46592/48700]	Loss: 0.3276	LR: 0.000800
Training Epoch: 39 [46848/48700]	Loss: 0.2712	LR: 0.000800
Training Epoch: 39 [47104/48700]	Loss: 0.2661	LR: 0.000800
Training Epoch: 39 [47360/48700]	Loss: 0.2313	LR: 0.000800
Training Epoch: 39 [47616/48700]	Loss: 0.2833	LR: 0.000800
Training Epoch: 39 [47872/48700]	Loss: 0.2830	LR: 0.000800
Training Epoch: 39 [48128/48700]	Loss: 0.2305	LR: 0.000800
Training Epoch: 39 [48384/48700]	Loss: 0.2265	LR: 0.000800
Training Epoch: 39 [48640/48700]	Loss: 0.3007	LR: 0.000800
Training Epoch: 39 [48700/48700]	Loss: 0.2811	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2875, Train Accuracy: 0.9149
Epoch 39 training time consumed: 26.86s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7837, Time consumed:0.94s
Training Epoch: 40 [256/48700]	Loss: 0.3796	LR: 0.000800
Training Epoch: 40 [512/48700]	Loss: 0.2947	LR: 0.000800
Training Epoch: 40 [768/48700]	Loss: 0.2872	LR: 0.000800
Training Epoch: 40 [1024/48700]	Loss: 0.2626	LR: 0.000800
Training Epoch: 40 [1280/48700]	Loss: 0.2705	LR: 0.000800
Training Epoch: 40 [1536/48700]	Loss: 0.3073	LR: 0.000800
Training Epoch: 40 [1792/48700]	Loss: 0.3242	LR: 0.000800
Training Epoch: 40 [2048/48700]	Loss: 0.3659	LR: 0.000800
Training Epoch: 40 [2304/48700]	Loss: 0.2442	LR: 0.000800
Training Epoch: 40 [2560/48700]	Loss: 0.2284	LR: 0.000800
Training Epoch: 40 [2816/48700]	Loss: 0.2817	LR: 0.000800
Training Epoch: 40 [3072/48700]	Loss: 0.2286	LR: 0.000800
Training Epoch: 40 [3328/48700]	Loss: 0.2399	LR: 0.000800
Training Epoch: 40 [3584/48700]	Loss: 0.2840	LR: 0.000800
Training Epoch: 40 [3840/48700]	Loss: 0.2636	LR: 0.000800
Training Epoch: 40 [4096/48700]	Loss: 0.2623	LR: 0.000800
Training Epoch: 40 [4352/48700]	Loss: 0.2448	LR: 0.000800
Training Epoch: 40 [4608/48700]	Loss: 0.2050	LR: 0.000800
Training Epoch: 40 [4864/48700]	Loss: 0.2623	LR: 0.000800
Training Epoch: 40 [5120/48700]	Loss: 0.2817	LR: 0.000800
Training Epoch: 40 [5376/48700]	Loss: 0.3384	LR: 0.000800
Training Epoch: 40 [5632/48700]	Loss: 0.2837	LR: 0.000800
Training Epoch: 40 [5888/48700]	Loss: 0.2775	LR: 0.000800
Training Epoch: 40 [6144/48700]	Loss: 0.2906	LR: 0.000800
Training Epoch: 40 [6400/48700]	Loss: 0.2756	LR: 0.000800
Training Epoch: 40 [6656/48700]	Loss: 0.2754	LR: 0.000800
Training Epoch: 40 [6912/48700]	Loss: 0.2483	LR: 0.000800
Training Epoch: 40 [7168/48700]	Loss: 0.2841	LR: 0.000800
Training Epoch: 40 [7424/48700]	Loss: 0.3196	LR: 0.000800
Training Epoch: 40 [7680/48700]	Loss: 0.2418	LR: 0.000800
Training Epoch: 40 [7936/48700]	Loss: 0.2843	LR: 0.000800
Training Epoch: 40 [8192/48700]	Loss: 0.2572	LR: 0.000800
Training Epoch: 40 [8448/48700]	Loss: 0.3099	LR: 0.000800
Training Epoch: 40 [8704/48700]	Loss: 0.3410	LR: 0.000800
Training Epoch: 40 [8960/48700]	Loss: 0.3392	LR: 0.000800
Training Epoch: 40 [9216/48700]	Loss: 0.2552	LR: 0.000800
Training Epoch: 40 [9472/48700]	Loss: 0.2806	LR: 0.000800
Training Epoch: 40 [9728/48700]	Loss: 0.2419	LR: 0.000800
Training Epoch: 40 [9984/48700]	Loss: 0.3169	LR: 0.000800
Training Epoch: 40 [10240/48700]	Loss: 0.2510	LR: 0.000800
Training Epoch: 40 [10496/48700]	Loss: 0.2704	LR: 0.000800
Training Epoch: 40 [10752/48700]	Loss: 0.2737	LR: 0.000800
Training Epoch: 40 [11008/48700]	Loss: 0.3617	LR: 0.000800
Training Epoch: 40 [11264/48700]	Loss: 0.4269	LR: 0.000800
Training Epoch: 40 [11520/48700]	Loss: 0.2364	LR: 0.000800
Training Epoch: 40 [11776/48700]	Loss: 0.2878	LR: 0.000800
Training Epoch: 40 [12032/48700]	Loss: 0.3060	LR: 0.000800
Training Epoch: 40 [12288/48700]	Loss: 0.3281	LR: 0.000800
Training Epoch: 40 [12544/48700]	Loss: 0.2942	LR: 0.000800
Training Epoch: 40 [12800/48700]	Loss: 0.2362	LR: 0.000800
Training Epoch: 40 [13056/48700]	Loss: 0.3403	LR: 0.000800
Training Epoch: 40 [13312/48700]	Loss: 0.2451	LR: 0.000800
Training Epoch: 40 [13568/48700]	Loss: 0.3056	LR: 0.000800
Training Epoch: 40 [13824/48700]	Loss: 0.2550	LR: 0.000800
Training Epoch: 40 [14080/48700]	Loss: 0.2913	LR: 0.000800
Training Epoch: 40 [14336/48700]	Loss: 0.2304	LR: 0.000800
Training Epoch: 40 [14592/48700]	Loss: 0.3199	LR: 0.000800
Training Epoch: 40 [14848/48700]	Loss: 0.2125	LR: 0.000800
Training Epoch: 40 [15104/48700]	Loss: 0.2380	LR: 0.000800
Training Epoch: 40 [15360/48700]	Loss: 0.2664	LR: 0.000800
Training Epoch: 40 [15616/48700]	Loss: 0.3736	LR: 0.000800
Training Epoch: 40 [15872/48700]	Loss: 0.2564	LR: 0.000800
Training Epoch: 40 [16128/48700]	Loss: 0.2946	LR: 0.000800
Training Epoch: 40 [16384/48700]	Loss: 0.2336	LR: 0.000800
Training Epoch: 40 [16640/48700]	Loss: 0.3269	LR: 0.000800
Training Epoch: 40 [16896/48700]	Loss: 0.2697	LR: 0.000800
Training Epoch: 40 [17152/48700]	Loss: 0.2733	LR: 0.000800
Training Epoch: 40 [17408/48700]	Loss: 0.3670	LR: 0.000800
Training Epoch: 40 [17664/48700]	Loss: 0.2582	LR: 0.000800
Training Epoch: 40 [17920/48700]	Loss: 0.2904	LR: 0.000800
Training Epoch: 40 [18176/48700]	Loss: 0.2511	LR: 0.000800
Training Epoch: 40 [18432/48700]	Loss: 0.2706	LR: 0.000800
Training Epoch: 40 [18688/48700]	Loss: 0.3017	LR: 0.000800
Training Epoch: 40 [18944/48700]	Loss: 0.2587	LR: 0.000800
Training Epoch: 40 [19200/48700]	Loss: 0.2588	LR: 0.000800
Training Epoch: 40 [19456/48700]	Loss: 0.3303	LR: 0.000800
Training Epoch: 40 [19712/48700]	Loss: 0.2807	LR: 0.000800
Training Epoch: 40 [19968/48700]	Loss: 0.2700	LR: 0.000800
Training Epoch: 40 [20224/48700]	Loss: 0.2806	LR: 0.000800
Training Epoch: 40 [20480/48700]	Loss: 0.3263	LR: 0.000800
Training Epoch: 40 [20736/48700]	Loss: 0.2171	LR: 0.000800
Training Epoch: 40 [20992/48700]	Loss: 0.2791	LR: 0.000800
Training Epoch: 40 [21248/48700]	Loss: 0.2689	LR: 0.000800
Training Epoch: 40 [21504/48700]	Loss: 0.3059	LR: 0.000800
Training Epoch: 40 [21760/48700]	Loss: 0.3143	LR: 0.000800
Training Epoch: 40 [22016/48700]	Loss: 0.2946	LR: 0.000800
Training Epoch: 40 [22272/48700]	Loss: 0.3618	LR: 0.000800
Training Epoch: 40 [22528/48700]	Loss: 0.2848	LR: 0.000800
Training Epoch: 40 [22784/48700]	Loss: 0.2503	LR: 0.000800
Training Epoch: 40 [23040/48700]	Loss: 0.2901	LR: 0.000800
Training Epoch: 40 [23296/48700]	Loss: 0.2938	LR: 0.000800
Training Epoch: 40 [23552/48700]	Loss: 0.3227	LR: 0.000800
Training Epoch: 40 [23808/48700]	Loss: 0.3148	LR: 0.000800
Training Epoch: 40 [24064/48700]	Loss: 0.3030	LR: 0.000800
Training Epoch: 40 [24320/48700]	Loss: 0.2969	LR: 0.000800
Training Epoch: 40 [24576/48700]	Loss: 0.2700	LR: 0.000800
Training Epoch: 40 [24832/48700]	Loss: 0.3123	LR: 0.000800
Training Epoch: 40 [25088/48700]	Loss: 0.2722	LR: 0.000800
Training Epoch: 40 [25344/48700]	Loss: 0.3659	LR: 0.000800
Training Epoch: 40 [25600/48700]	Loss: 0.3012	LR: 0.000800
Training Epoch: 40 [25856/48700]	Loss: 0.2410	LR: 0.000800
Training Epoch: 40 [26112/48700]	Loss: 0.2842	LR: 0.000800
Training Epoch: 40 [26368/48700]	Loss: 0.3402	LR: 0.000800
Training Epoch: 40 [26624/48700]	Loss: 0.2311	LR: 0.000800
Training Epoch: 40 [26880/48700]	Loss: 0.2500	LR: 0.000800
Training Epoch: 40 [27136/48700]	Loss: 0.2220	LR: 0.000800
Training Epoch: 40 [27392/48700]	Loss: 0.2638	LR: 0.000800
Training Epoch: 40 [27648/48700]	Loss: 0.3371	LR: 0.000800
Training Epoch: 40 [27904/48700]	Loss: 0.2462	LR: 0.000800
Training Epoch: 40 [28160/48700]	Loss: 0.2392	LR: 0.000800
Training Epoch: 40 [28416/48700]	Loss: 0.2607	LR: 0.000800
Training Epoch: 40 [28672/48700]	Loss: 0.2975	LR: 0.000800
Training Epoch: 40 [28928/48700]	Loss: 0.2413	LR: 0.000800
Training Epoch: 40 [29184/48700]	Loss: 0.2324	LR: 0.000800
Training Epoch: 40 [29440/48700]	Loss: 0.2713	LR: 0.000800
Training Epoch: 40 [29696/48700]	Loss: 0.2617	LR: 0.000800
Training Epoch: 40 [29952/48700]	Loss: 0.2931	LR: 0.000800
Training Epoch: 40 [30208/48700]	Loss: 0.3366	LR: 0.000800
Training Epoch: 40 [30464/48700]	Loss: 0.2915	LR: 0.000800
Training Epoch: 40 [30720/48700]	Loss: 0.2807	LR: 0.000800
Training Epoch: 40 [30976/48700]	Loss: 0.2512	LR: 0.000800
Training Epoch: 40 [31232/48700]	Loss: 0.3068	LR: 0.000800
Training Epoch: 40 [31488/48700]	Loss: 0.2672	LR: 0.000800
Training Epoch: 40 [31744/48700]	Loss: 0.3449	LR: 0.000800
Training Epoch: 40 [32000/48700]	Loss: 0.3419	LR: 0.000800
Training Epoch: 40 [32256/48700]	Loss: 0.2494	LR: 0.000800
Training Epoch: 40 [32512/48700]	Loss: 0.2599	LR: 0.000800
Training Epoch: 40 [32768/48700]	Loss: 0.2581	LR: 0.000800
Training Epoch: 40 [33024/48700]	Loss: 0.4213	LR: 0.000800
Training Epoch: 40 [33280/48700]	Loss: 0.2802	LR: 0.000800
Training Epoch: 40 [33536/48700]	Loss: 0.2299	LR: 0.000800
Training Epoch: 40 [33792/48700]	Loss: 0.2920	LR: 0.000800
Training Epoch: 40 [34048/48700]	Loss: 0.2545	LR: 0.000800
Training Epoch: 40 [34304/48700]	Loss: 0.2903	LR: 0.000800
Training Epoch: 40 [34560/48700]	Loss: 0.2826	LR: 0.000800
Training Epoch: 40 [34816/48700]	Loss: 0.3057	LR: 0.000800
Training Epoch: 40 [35072/48700]	Loss: 0.3170	LR: 0.000800
Training Epoch: 40 [35328/48700]	Loss: 0.3526	LR: 0.000800
Training Epoch: 40 [35584/48700]	Loss: 0.2436	LR: 0.000800
Training Epoch: 40 [35840/48700]	Loss: 0.3005	LR: 0.000800
Training Epoch: 40 [36096/48700]	Loss: 0.2808	LR: 0.000800
Training Epoch: 40 [36352/48700]	Loss: 0.2740	LR: 0.000800
Training Epoch: 40 [36608/48700]	Loss: 0.2864	LR: 0.000800
Training Epoch: 40 [36864/48700]	Loss: 0.3149	LR: 0.000800
Training Epoch: 40 [37120/48700]	Loss: 0.3073	LR: 0.000800
Training Epoch: 40 [37376/48700]	Loss: 0.2635	LR: 0.000800
Training Epoch: 40 [37632/48700]	Loss: 0.2806	LR: 0.000800
Training Epoch: 40 [37888/48700]	Loss: 0.2990	LR: 0.000800
Training Epoch: 40 [38144/48700]	Loss: 0.3375	LR: 0.000800
Training Epoch: 40 [38400/48700]	Loss: 0.2728	LR: 0.000800
Training Epoch: 40 [38656/48700]	Loss: 0.2662	LR: 0.000800
Training Epoch: 40 [38912/48700]	Loss: 0.3509	LR: 0.000800
Training Epoch: 40 [39168/48700]	Loss: 0.2692	LR: 0.000800
Training Epoch: 40 [39424/48700]	Loss: 0.2835	LR: 0.000800
Training Epoch: 40 [39680/48700]	Loss: 0.2548	LR: 0.000800
Training Epoch: 40 [39936/48700]	Loss: 0.3057	LR: 0.000800
Training Epoch: 40 [40192/48700]	Loss: 0.3082	LR: 0.000800
Training Epoch: 40 [40448/48700]	Loss: 0.2388	LR: 0.000800
Training Epoch: 40 [40704/48700]	Loss: 0.2609	LR: 0.000800
Training Epoch: 40 [40960/48700]	Loss: 0.3092	LR: 0.000800
Training Epoch: 40 [41216/48700]	Loss: 0.2491	LR: 0.000800
Training Epoch: 40 [41472/48700]	Loss: 0.3940	LR: 0.000800
Training Epoch: 40 [41728/48700]	Loss: 0.3020	LR: 0.000800
Training Epoch: 40 [41984/48700]	Loss: 0.2654	LR: 0.000800
Training Epoch: 40 [42240/48700]	Loss: 0.2378	LR: 0.000800
Training Epoch: 40 [42496/48700]	Loss: 0.3010	LR: 0.000800
Training Epoch: 40 [42752/48700]	Loss: 0.3293	LR: 0.000800
Training Epoch: 40 [43008/48700]	Loss: 0.2447	LR: 0.000800
Training Epoch: 40 [43264/48700]	Loss: 0.2788	LR: 0.000800
Training Epoch: 40 [43520/48700]	Loss: 0.3305	LR: 0.000800
Training Epoch: 40 [43776/48700]	Loss: 0.2693	LR: 0.000800
Training Epoch: 40 [44032/48700]	Loss: 0.2863	LR: 0.000800
Training Epoch: 40 [44288/48700]	Loss: 0.3092	LR: 0.000800
Training Epoch: 40 [44544/48700]	Loss: 0.3424	LR: 0.000800
Training Epoch: 40 [44800/48700]	Loss: 0.2625	LR: 0.000800
Training Epoch: 40 [45056/48700]	Loss: 0.2940	LR: 0.000800
Training Epoch: 40 [45312/48700]	Loss: 0.3218	LR: 0.000800
Training Epoch: 40 [45568/48700]	Loss: 0.2741	LR: 0.000800
Training Epoch: 40 [45824/48700]	Loss: 0.3705	LR: 0.000800
Training Epoch: 40 [46080/48700]	Loss: 0.2655	LR: 0.000800
Training Epoch: 40 [46336/48700]	Loss: 0.3284	LR: 0.000800
Training Epoch: 40 [46592/48700]	Loss: 0.3177	LR: 0.000800
Training Epoch: 40 [46848/48700]	Loss: 0.2668	LR: 0.000800
Training Epoch: 40 [47104/48700]	Loss: 0.2809	LR: 0.000800
Training Epoch: 40 [47360/48700]	Loss: 0.3040	LR: 0.000800
Training Epoch: 40 [47616/48700]	Loss: 0.2913	LR: 0.000800
Training Epoch: 40 [47872/48700]	Loss: 0.3023	LR: 0.000800
Training Epoch: 40 [48128/48700]	Loss: 0.2456	LR: 0.000800
Training Epoch: 40 [48384/48700]	Loss: 0.3137	LR: 0.000800
Training Epoch: 40 [48640/48700]	Loss: 0.2966	LR: 0.000800
Training Epoch: 40 [48700/48700]	Loss: 0.1994	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2871, Train Accuracy: 0.9144
Epoch 40 training time consumed: 26.75s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.7840, Time consumed:0.95s
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: 78.61328125
Retain Accuracy: 92.23999786376953
Zero-Retain Forget (ZRF): 0.9133524894714355
Membership Inference Attack (MIA): 0.4823076923076923
Forget vs Retain Membership Inference Attack (MIA): 0.6230769230769231
Forget vs Test Membership Inference Attack (MIA): 0.5384615384615384
Test vs Retain Membership Inference Attack (MIA): 0.4895
Train vs Test Membership Inference Attack (MIA): 0.553
Forget Set Accuracy (Df): 76.43228912353516
Method Execution Time: 1617.63 seconds
