
📌 S Retain class distribution for seed 9:
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 9:
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: 3.0324	LR: 0.000000
Training Epoch: 1 [512/48700]	Loss: 3.0522	LR: 0.000524
Training Epoch: 1 [768/48700]	Loss: 3.0202	LR: 0.001047
Training Epoch: 1 [1024/48700]	Loss: 3.0189	LR: 0.001571
Training Epoch: 1 [1280/48700]	Loss: 3.0255	LR: 0.002094
Training Epoch: 1 [1536/48700]	Loss: 3.0297	LR: 0.002618
Training Epoch: 1 [1792/48700]	Loss: 2.9903	LR: 0.003141
Training Epoch: 1 [2048/48700]	Loss: 3.0129	LR: 0.003665
Training Epoch: 1 [2304/48700]	Loss: 2.9841	LR: 0.004188
Training Epoch: 1 [2560/48700]	Loss: 2.9911	LR: 0.004712
Training Epoch: 1 [2816/48700]	Loss: 2.9543	LR: 0.005236
Training Epoch: 1 [3072/48700]	Loss: 2.9343	LR: 0.005759
Training Epoch: 1 [3328/48700]	Loss: 2.9020	LR: 0.006283
Training Epoch: 1 [3584/48700]	Loss: 2.8875	LR: 0.006806
Training Epoch: 1 [3840/48700]	Loss: 2.8901	LR: 0.007330
Training Epoch: 1 [4096/48700]	Loss: 2.8769	LR: 0.007853
Training Epoch: 1 [4352/48700]	Loss: 2.8419	LR: 0.008377
Training Epoch: 1 [4608/48700]	Loss: 2.8104	LR: 0.008901
Training Epoch: 1 [4864/48700]	Loss: 2.8177	LR: 0.009424
Training Epoch: 1 [5120/48700]	Loss: 2.7867	LR: 0.009948
Training Epoch: 1 [5376/48700]	Loss: 2.8082	LR: 0.010471
Training Epoch: 1 [5632/48700]	Loss: 2.7534	LR: 0.010995
Training Epoch: 1 [5888/48700]	Loss: 2.8732	LR: 0.011518
Training Epoch: 1 [6144/48700]	Loss: 2.7527	LR: 0.012042
Training Epoch: 1 [6400/48700]	Loss: 2.7893	LR: 0.012565
Training Epoch: 1 [6656/48700]	Loss: 2.7783	LR: 0.013089
Training Epoch: 1 [6912/48700]	Loss: 2.6924	LR: 0.013613
Training Epoch: 1 [7168/48700]	Loss: 2.7154	LR: 0.014136
Training Epoch: 1 [7424/48700]	Loss: 2.7434	LR: 0.014660
Training Epoch: 1 [7680/48700]	Loss: 2.7118	LR: 0.015183
Training Epoch: 1 [7936/48700]	Loss: 2.7021	LR: 0.015707
Training Epoch: 1 [8192/48700]	Loss: 2.7723	LR: 0.016230
Training Epoch: 1 [8448/48700]	Loss: 2.7117	LR: 0.016754
Training Epoch: 1 [8704/48700]	Loss: 2.7164	LR: 0.017277
Training Epoch: 1 [8960/48700]	Loss: 2.6157	LR: 0.017801
Training Epoch: 1 [9216/48700]	Loss: 2.6707	LR: 0.018325
Training Epoch: 1 [9472/48700]	Loss: 2.6623	LR: 0.018848
Training Epoch: 1 [9728/48700]	Loss: 2.6098	LR: 0.019372
Training Epoch: 1 [9984/48700]	Loss: 2.6101	LR: 0.019895
Training Epoch: 1 [10240/48700]	Loss: 2.6939	LR: 0.020419
Training Epoch: 1 [10496/48700]	Loss: 2.6255	LR: 0.020942
Training Epoch: 1 [10752/48700]	Loss: 2.5510	LR: 0.021466
Training Epoch: 1 [11008/48700]	Loss: 2.5606	LR: 0.021990
Training Epoch: 1 [11264/48700]	Loss: 2.5460	LR: 0.022513
Training Epoch: 1 [11520/48700]	Loss: 2.6307	LR: 0.023037
Training Epoch: 1 [11776/48700]	Loss: 2.5805	LR: 0.023560
Training Epoch: 1 [12032/48700]	Loss: 2.5906	LR: 0.024084
Training Epoch: 1 [12288/48700]	Loss: 2.6411	LR: 0.024607
Training Epoch: 1 [12544/48700]	Loss: 2.5316	LR: 0.025131
Training Epoch: 1 [12800/48700]	Loss: 2.5317	LR: 0.025654
Training Epoch: 1 [13056/48700]	Loss: 2.6017	LR: 0.026178
Training Epoch: 1 [13312/48700]	Loss: 2.5442	LR: 0.026702
Training Epoch: 1 [13568/48700]	Loss: 2.5424	LR: 0.027225
Training Epoch: 1 [13824/48700]	Loss: 2.4224	LR: 0.027749
Training Epoch: 1 [14080/48700]	Loss: 2.5174	LR: 0.028272
Training Epoch: 1 [14336/48700]	Loss: 2.4923	LR: 0.028796
Training Epoch: 1 [14592/48700]	Loss: 2.5449	LR: 0.029319
Training Epoch: 1 [14848/48700]	Loss: 2.5003	LR: 0.029843
Training Epoch: 1 [15104/48700]	Loss: 2.5246	LR: 0.030366
Training Epoch: 1 [15360/48700]	Loss: 2.5579	LR: 0.030890
Training Epoch: 1 [15616/48700]	Loss: 2.4894	LR: 0.031414
Training Epoch: 1 [15872/48700]	Loss: 2.4363	LR: 0.031937
Training Epoch: 1 [16128/48700]	Loss: 2.3977	LR: 0.032461
Training Epoch: 1 [16384/48700]	Loss: 2.5055	LR: 0.032984
Training Epoch: 1 [16640/48700]	Loss: 2.5130	LR: 0.033508
Training Epoch: 1 [16896/48700]	Loss: 2.4836	LR: 0.034031
Training Epoch: 1 [17152/48700]	Loss: 2.5360	LR: 0.034555
Training Epoch: 1 [17408/48700]	Loss: 2.4710	LR: 0.035079
Training Epoch: 1 [17664/48700]	Loss: 2.5481	LR: 0.035602
Training Epoch: 1 [17920/48700]	Loss: 2.3843	LR: 0.036126
Training Epoch: 1 [18176/48700]	Loss: 2.5087	LR: 0.036649
Training Epoch: 1 [18432/48700]	Loss: 2.5467	LR: 0.037173
Training Epoch: 1 [18688/48700]	Loss: 2.5365	LR: 0.037696
Training Epoch: 1 [18944/48700]	Loss: 2.4507	LR: 0.038220
Training Epoch: 1 [19200/48700]	Loss: 2.5304	LR: 0.038743
Training Epoch: 1 [19456/48700]	Loss: 2.5842	LR: 0.039267
Training Epoch: 1 [19712/48700]	Loss: 2.5277	LR: 0.039791
Training Epoch: 1 [19968/48700]	Loss: 2.5021	LR: 0.040314
Training Epoch: 1 [20224/48700]	Loss: 2.5740	LR: 0.040838
Training Epoch: 1 [20480/48700]	Loss: 2.4401	LR: 0.041361
Training Epoch: 1 [20736/48700]	Loss: 2.4370	LR: 0.041885
Training Epoch: 1 [20992/48700]	Loss: 2.5672	LR: 0.042408
Training Epoch: 1 [21248/48700]	Loss: 2.4433	LR: 0.042932
Training Epoch: 1 [21504/48700]	Loss: 2.4032	LR: 0.043455
Training Epoch: 1 [21760/48700]	Loss: 2.3928	LR: 0.043979
Training Epoch: 1 [22016/48700]	Loss: 2.4162	LR: 0.044503
Training Epoch: 1 [22272/48700]	Loss: 2.4157	LR: 0.045026
Training Epoch: 1 [22528/48700]	Loss: 2.4297	LR: 0.045550
Training Epoch: 1 [22784/48700]	Loss: 2.4293	LR: 0.046073
Training Epoch: 1 [23040/48700]	Loss: 2.4654	LR: 0.046597
Training Epoch: 1 [23296/48700]	Loss: 2.5523	LR: 0.047120
Training Epoch: 1 [23552/48700]	Loss: 2.5455	LR: 0.047644
Training Epoch: 1 [23808/48700]	Loss: 2.5297	LR: 0.048168
Training Epoch: 1 [24064/48700]	Loss: 2.5018	LR: 0.048691
Training Epoch: 1 [24320/48700]	Loss: 2.4650	LR: 0.049215
Training Epoch: 1 [24576/48700]	Loss: 2.5446	LR: 0.049738
Training Epoch: 1 [24832/48700]	Loss: 2.4830	LR: 0.050262
Training Epoch: 1 [25088/48700]	Loss: 2.3734	LR: 0.050785
Training Epoch: 1 [25344/48700]	Loss: 2.4306	LR: 0.051309
Training Epoch: 1 [25600/48700]	Loss: 2.3249	LR: 0.051832
Training Epoch: 1 [25856/48700]	Loss: 2.5412	LR: 0.052356
Training Epoch: 1 [26112/48700]	Loss: 2.4189	LR: 0.052880
Training Epoch: 1 [26368/48700]	Loss: 2.3301	LR: 0.053403
Training Epoch: 1 [26624/48700]	Loss: 2.3993	LR: 0.053927
Training Epoch: 1 [26880/48700]	Loss: 2.4261	LR: 0.054450
Training Epoch: 1 [27136/48700]	Loss: 2.3305	LR: 0.054974
Training Epoch: 1 [27392/48700]	Loss: 2.4718	LR: 0.055497
Training Epoch: 1 [27648/48700]	Loss: 2.4782	LR: 0.056021
Training Epoch: 1 [27904/48700]	Loss: 2.3475	LR: 0.056545
Training Epoch: 1 [28160/48700]	Loss: 2.5114	LR: 0.057068
Training Epoch: 1 [28416/48700]	Loss: 2.5286	LR: 0.057592
Training Epoch: 1 [28672/48700]	Loss: 2.2838	LR: 0.058115
Training Epoch: 1 [28928/48700]	Loss: 2.3612	LR: 0.058639
Training Epoch: 1 [29184/48700]	Loss: 2.4848	LR: 0.059162
Training Epoch: 1 [29440/48700]	Loss: 2.3908	LR: 0.059686
Training Epoch: 1 [29696/48700]	Loss: 2.3594	LR: 0.060209
Training Epoch: 1 [29952/48700]	Loss: 2.4076	LR: 0.060733
Training Epoch: 1 [30208/48700]	Loss: 2.4899	LR: 0.061257
Training Epoch: 1 [30464/48700]	Loss: 2.3918	LR: 0.061780
Training Epoch: 1 [30720/48700]	Loss: 2.4516	LR: 0.062304
Training Epoch: 1 [30976/48700]	Loss: 2.4971	LR: 0.062827
Training Epoch: 1 [31232/48700]	Loss: 2.5835	LR: 0.063351
Training Epoch: 1 [31488/48700]	Loss: 2.4433	LR: 0.063874
Training Epoch: 1 [31744/48700]	Loss: 2.3498	LR: 0.064398
Training Epoch: 1 [32000/48700]	Loss: 2.5714	LR: 0.064921
Training Epoch: 1 [32256/48700]	Loss: 2.4473	LR: 0.065445
Training Epoch: 1 [32512/48700]	Loss: 2.4541	LR: 0.065969
Training Epoch: 1 [32768/48700]	Loss: 2.2899	LR: 0.066492
Training Epoch: 1 [33024/48700]	Loss: 2.3803	LR: 0.067016
Training Epoch: 1 [33280/48700]	Loss: 2.3461	LR: 0.067539
Training Epoch: 1 [33536/48700]	Loss: 2.4026	LR: 0.068063
Training Epoch: 1 [33792/48700]	Loss: 2.3468	LR: 0.068586
Training Epoch: 1 [34048/48700]	Loss: 2.3717	LR: 0.069110
Training Epoch: 1 [34304/48700]	Loss: 2.3713	LR: 0.069634
Training Epoch: 1 [34560/48700]	Loss: 2.3998	LR: 0.070157
Training Epoch: 1 [34816/48700]	Loss: 2.4084	LR: 0.070681
Training Epoch: 1 [35072/48700]	Loss: 2.3827	LR: 0.071204
Training Epoch: 1 [35328/48700]	Loss: 2.3852	LR: 0.071728
Training Epoch: 1 [35584/48700]	Loss: 2.3391	LR: 0.072251
Training Epoch: 1 [35840/48700]	Loss: 2.3717	LR: 0.072775
Training Epoch: 1 [36096/48700]	Loss: 2.3437	LR: 0.073298
Training Epoch: 1 [36352/48700]	Loss: 2.2252	LR: 0.073822
Training Epoch: 1 [36608/48700]	Loss: 2.3813	LR: 0.074346
Training Epoch: 1 [36864/48700]	Loss: 2.3390	LR: 0.074869
Training Epoch: 1 [37120/48700]	Loss: 2.4261	LR: 0.075393
Training Epoch: 1 [37376/48700]	Loss: 2.3936	LR: 0.075916
Training Epoch: 1 [37632/48700]	Loss: 2.3413	LR: 0.076440
Training Epoch: 1 [37888/48700]	Loss: 2.3035	LR: 0.076963
Training Epoch: 1 [38144/48700]	Loss: 2.3318	LR: 0.077487
Training Epoch: 1 [38400/48700]	Loss: 2.3482	LR: 0.078010
Training Epoch: 1 [38656/48700]	Loss: 2.3429	LR: 0.078534
Training Epoch: 1 [38912/48700]	Loss: 2.4672	LR: 0.079058
Training Epoch: 1 [39168/48700]	Loss: 2.3617	LR: 0.079581
Training Epoch: 1 [39424/48700]	Loss: 2.3382	LR: 0.080105
Training Epoch: 1 [39680/48700]	Loss: 2.4174	LR: 0.080628
Training Epoch: 1 [39936/48700]	Loss: 2.4159	LR: 0.081152
Training Epoch: 1 [40192/48700]	Loss: 2.3849	LR: 0.081675
Training Epoch: 1 [40448/48700]	Loss: 2.3631	LR: 0.082199
Training Epoch: 1 [40704/48700]	Loss: 2.2675	LR: 0.082723
Training Epoch: 1 [40960/48700]	Loss: 2.3851	LR: 0.083246
Training Epoch: 1 [41216/48700]	Loss: 2.2667	LR: 0.083770
Training Epoch: 1 [41472/48700]	Loss: 2.4149	LR: 0.084293
Training Epoch: 1 [41728/48700]	Loss: 2.4909	LR: 0.084817
Training Epoch: 1 [41984/48700]	Loss: 2.3131	LR: 0.085340
Training Epoch: 1 [42240/48700]	Loss: 2.4296	LR: 0.085864
Training Epoch: 1 [42496/48700]	Loss: 2.3765	LR: 0.086387
Training Epoch: 1 [42752/48700]	Loss: 2.4279	LR: 0.086911
Training Epoch: 1 [43008/48700]	Loss: 2.3029	LR: 0.087435
Training Epoch: 1 [43264/48700]	Loss: 2.3009	LR: 0.087958
Training Epoch: 1 [43520/48700]	Loss: 2.3170	LR: 0.088482
Training Epoch: 1 [43776/48700]	Loss: 2.2756	LR: 0.089005
Training Epoch: 1 [44032/48700]	Loss: 2.4272	LR: 0.089529
Training Epoch: 1 [44288/48700]	Loss: 2.4329	LR: 0.090052
Training Epoch: 1 [44544/48700]	Loss: 2.3492	LR: 0.090576
Training Epoch: 1 [44800/48700]	Loss: 2.3623	LR: 0.091099
Training Epoch: 1 [45056/48700]	Loss: 2.2287	LR: 0.091623
Training Epoch: 1 [45312/48700]	Loss: 2.2670	LR: 0.092147
Training Epoch: 1 [45568/48700]	Loss: 2.4585	LR: 0.092670
Training Epoch: 1 [45824/48700]	Loss: 2.3783	LR: 0.093194
Training Epoch: 1 [46080/48700]	Loss: 2.3714	LR: 0.093717
Training Epoch: 1 [46336/48700]	Loss: 2.3022	LR: 0.094241
Training Epoch: 1 [46592/48700]	Loss: 2.3112	LR: 0.094764
Training Epoch: 1 [46848/48700]	Loss: 2.3585	LR: 0.095288
Training Epoch: 1 [47104/48700]	Loss: 2.3354	LR: 0.095812
Training Epoch: 1 [47360/48700]	Loss: 2.3298	LR: 0.096335
Training Epoch: 1 [47616/48700]	Loss: 2.3506	LR: 0.096859
Training Epoch: 1 [47872/48700]	Loss: 2.2786	LR: 0.097382
Training Epoch: 1 [48128/48700]	Loss: 2.2099	LR: 0.097906
Training Epoch: 1 [48384/48700]	Loss: 2.3081	LR: 0.098429
Training Epoch: 1 [48640/48700]	Loss: 2.2945	LR: 0.098953
Training Epoch: 1 [48700/48700]	Loss: 2.4014	LR: 0.099476
Epoch 1 - Average Train Loss: 2.5124, Train Accuracy: 0.2222
Epoch 1 training time consumed: 27.88s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0106, Accuracy: 0.2179, Time consumed:1.04s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-1-best.pth
Training Epoch: 2 [256/48700]	Loss: 2.4387	LR: 0.100000
Training Epoch: 2 [512/48700]	Loss: 2.3977	LR: 0.100000
Training Epoch: 2 [768/48700]	Loss: 2.3169	LR: 0.100000
Training Epoch: 2 [1024/48700]	Loss: 2.3330	LR: 0.100000
Training Epoch: 2 [1280/48700]	Loss: 2.5123	LR: 0.100000
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Training Epoch: 2 [2048/48700]	Loss: 2.2750	LR: 0.100000
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Training Epoch: 2 [41728/48700]	Loss: 2.1400	LR: 0.100000
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Training Epoch: 2 [42496/48700]	Loss: 2.0012	LR: 0.100000
Training Epoch: 2 [42752/48700]	Loss: 1.9853	LR: 0.100000
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Training Epoch: 2 [45056/48700]	Loss: 1.9865	LR: 0.100000
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Training Epoch: 2 [46848/48700]	Loss: 1.9420	LR: 0.100000
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Training Epoch: 2 [47616/48700]	Loss: 2.0560	LR: 0.100000
Training Epoch: 2 [47872/48700]	Loss: 2.0284	LR: 0.100000
Training Epoch: 2 [48128/48700]	Loss: 2.0270	LR: 0.100000
Training Epoch: 2 [48384/48700]	Loss: 2.0509	LR: 0.100000
Training Epoch: 2 [48640/48700]	Loss: 1.9373	LR: 0.100000
Training Epoch: 2 [48700/48700]	Loss: 2.0345	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1640, Train Accuracy: 0.3244
Epoch 2 training time consumed: 27.12s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0090, Accuracy: 0.3219, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-2-best.pth
Training Epoch: 3 [256/48700]	Loss: 2.1397	LR: 0.100000
Training Epoch: 3 [512/48700]	Loss: 2.1421	LR: 0.100000
Training Epoch: 3 [768/48700]	Loss: 2.0394	LR: 0.100000
Training Epoch: 3 [1024/48700]	Loss: 2.1248	LR: 0.100000
Training Epoch: 3 [1280/48700]	Loss: 2.1278	LR: 0.100000
Training Epoch: 3 [1536/48700]	Loss: 1.9148	LR: 0.100000
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Training Epoch: 3 [48700/48700]	Loss: 1.8395	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9214, Train Accuracy: 0.3975
Epoch 3 training time consumed: 26.91s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0082, Accuracy: 0.3861, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-3-best.pth
Training Epoch: 4 [256/48700]	Loss: 1.8605	LR: 0.100000
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Training Epoch: 4 [48700/48700]	Loss: 1.8040	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7408, Train Accuracy: 0.4520
Epoch 4 training time consumed: 27.00s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0090, Accuracy: 0.3694, Time consumed:0.96s
Training Epoch: 5 [256/48700]	Loss: 1.7092	LR: 0.100000
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Training Epoch: 5 [48700/48700]	Loss: 1.4939	LR: 0.100000
Epoch 5 - Average Train Loss: 1.5830, Train Accuracy: 0.4987
Epoch 5 training time consumed: 26.97s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0068, Accuracy: 0.4686, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-5-best.pth
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Training Epoch: 6 [48700/48700]	Loss: 1.2694	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4517, Train Accuracy: 0.5375
Epoch 6 training time consumed: 26.82s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0063, Accuracy: 0.4963, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-6-best.pth
Training Epoch: 7 [256/48700]	Loss: 1.4082	LR: 0.100000
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Training Epoch: 7 [48700/48700]	Loss: 1.3643	LR: 0.100000
Epoch 7 - Average Train Loss: 1.3387, Train Accuracy: 0.5721
Epoch 7 training time consumed: 26.75s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0059, Accuracy: 0.5474, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-7-best.pth
Training Epoch: 8 [256/48700]	Loss: 1.2545	LR: 0.100000
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Training Epoch: 8 [48700/48700]	Loss: 1.2549	LR: 0.100000
Epoch 8 - Average Train Loss: 1.2547, Train Accuracy: 0.5979
Epoch 8 training time consumed: 27.02s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0058, Accuracy: 0.5504, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-8-best.pth
Training Epoch: 9 [256/48700]	Loss: 1.2507	LR: 0.100000
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Training Epoch: 9 [48700/48700]	Loss: 1.3002	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1982, Train Accuracy: 0.6175
Epoch 9 training time consumed: 27.04s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0056, Accuracy: 0.5610, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-9-best.pth
Training Epoch: 10 [256/48700]	Loss: 1.2567	LR: 0.100000
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Training Epoch: 10 [48700/48700]	Loss: 1.1288	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1433, Train Accuracy: 0.6364
Epoch 10 training time consumed: 27.18s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0057, Accuracy: 0.5724, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-10-best.pth
Training Epoch: 11 [256/48700]	Loss: 1.2047	LR: 0.100000
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Training Epoch: 11 [12032/48700]	Loss: 1.0199	LR: 0.100000
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Training Epoch: 11 [12544/48700]	Loss: 1.0887	LR: 0.100000
Training Epoch: 11 [12800/48700]	Loss: 0.9645	LR: 0.100000
Training Epoch: 11 [13056/48700]	Loss: 1.0296	LR: 0.100000
Training Epoch: 11 [13312/48700]	Loss: 1.1008	LR: 0.100000
Training Epoch: 11 [13568/48700]	Loss: 1.1016	LR: 0.100000
Training Epoch: 11 [13824/48700]	Loss: 0.9689	LR: 0.100000
Training Epoch: 11 [14080/48700]	Loss: 1.1232	LR: 0.100000
Training Epoch: 11 [14336/48700]	Loss: 1.0408	LR: 0.100000
Training Epoch: 11 [14592/48700]	Loss: 1.0071	LR: 0.100000
Training Epoch: 11 [14848/48700]	Loss: 1.1428	LR: 0.100000
Training Epoch: 11 [15104/48700]	Loss: 1.2072	LR: 0.100000
Training Epoch: 11 [15360/48700]	Loss: 1.0455	LR: 0.100000
Training Epoch: 11 [15616/48700]	Loss: 0.9853	LR: 0.100000
Training Epoch: 11 [15872/48700]	Loss: 1.0087	LR: 0.100000
Training Epoch: 11 [16128/48700]	Loss: 1.1026	LR: 0.100000
Training Epoch: 11 [16384/48700]	Loss: 1.1439	LR: 0.100000
Training Epoch: 11 [16640/48700]	Loss: 1.1700	LR: 0.100000
Training Epoch: 11 [16896/48700]	Loss: 1.1449	LR: 0.100000
Training Epoch: 11 [17152/48700]	Loss: 1.0693	LR: 0.100000
Training Epoch: 11 [17408/48700]	Loss: 1.0748	LR: 0.100000
Training Epoch: 11 [17664/48700]	Loss: 1.1461	LR: 0.100000
Training Epoch: 11 [17920/48700]	Loss: 1.1522	LR: 0.100000
Training Epoch: 11 [18176/48700]	Loss: 1.1996	LR: 0.100000
Training Epoch: 11 [18432/48700]	Loss: 1.0592	LR: 0.100000
Training Epoch: 11 [18688/48700]	Loss: 1.2510	LR: 0.100000
Training Epoch: 11 [18944/48700]	Loss: 1.0452	LR: 0.100000
Training Epoch: 11 [19200/48700]	Loss: 1.1203	LR: 0.100000
Training Epoch: 11 [19456/48700]	Loss: 1.0864	LR: 0.100000
Training Epoch: 11 [19712/48700]	Loss: 1.0657	LR: 0.100000
Training Epoch: 11 [19968/48700]	Loss: 1.1413	LR: 0.100000
Training Epoch: 11 [20224/48700]	Loss: 0.8870	LR: 0.100000
Training Epoch: 11 [20480/48700]	Loss: 0.9838	LR: 0.100000
Training Epoch: 11 [20736/48700]	Loss: 1.1299	LR: 0.100000
Training Epoch: 11 [20992/48700]	Loss: 1.0214	LR: 0.100000
Training Epoch: 11 [21248/48700]	Loss: 1.1510	LR: 0.100000
Training Epoch: 11 [21504/48700]	Loss: 1.0945	LR: 0.100000
Training Epoch: 11 [21760/48700]	Loss: 0.9878	LR: 0.100000
Training Epoch: 11 [22016/48700]	Loss: 1.0616	LR: 0.100000
Training Epoch: 11 [22272/48700]	Loss: 1.1814	LR: 0.100000
Training Epoch: 11 [22528/48700]	Loss: 0.9575	LR: 0.100000
Training Epoch: 11 [22784/48700]	Loss: 1.1271	LR: 0.100000
Training Epoch: 11 [23040/48700]	Loss: 1.1201	LR: 0.100000
Training Epoch: 11 [23296/48700]	Loss: 1.0537	LR: 0.100000
Training Epoch: 11 [23552/48700]	Loss: 1.0265	LR: 0.100000
Training Epoch: 11 [23808/48700]	Loss: 1.0460	LR: 0.100000
Training Epoch: 11 [24064/48700]	Loss: 1.1414	LR: 0.100000
Training Epoch: 11 [24320/48700]	Loss: 1.1262	LR: 0.100000
Training Epoch: 11 [24576/48700]	Loss: 1.0013	LR: 0.100000
Training Epoch: 11 [24832/48700]	Loss: 1.2180	LR: 0.100000
Training Epoch: 11 [25088/48700]	Loss: 1.1451	LR: 0.100000
Training Epoch: 11 [25344/48700]	Loss: 1.0371	LR: 0.100000
Training Epoch: 11 [25600/48700]	Loss: 1.1384	LR: 0.100000
Training Epoch: 11 [25856/48700]	Loss: 1.1031	LR: 0.100000
Training Epoch: 11 [26112/48700]	Loss: 1.0452	LR: 0.100000
Training Epoch: 11 [26368/48700]	Loss: 1.2008	LR: 0.100000
Training Epoch: 11 [26624/48700]	Loss: 1.0011	LR: 0.100000
Training Epoch: 11 [26880/48700]	Loss: 1.2139	LR: 0.100000
Training Epoch: 11 [27136/48700]	Loss: 1.2572	LR: 0.100000
Training Epoch: 11 [27392/48700]	Loss: 1.1303	LR: 0.100000
Training Epoch: 11 [27648/48700]	Loss: 1.2227	LR: 0.100000
Training Epoch: 11 [27904/48700]	Loss: 1.1254	LR: 0.100000
Training Epoch: 11 [28160/48700]	Loss: 1.1606	LR: 0.100000
Training Epoch: 11 [28416/48700]	Loss: 1.1497	LR: 0.100000
Training Epoch: 11 [28672/48700]	Loss: 1.1377	LR: 0.100000
Training Epoch: 11 [28928/48700]	Loss: 1.0444	LR: 0.100000
Training Epoch: 11 [29184/48700]	Loss: 1.2419	LR: 0.100000
Training Epoch: 11 [29440/48700]	Loss: 1.0618	LR: 0.100000
Training Epoch: 11 [29696/48700]	Loss: 1.0347	LR: 0.100000
Training Epoch: 11 [29952/48700]	Loss: 1.1188	LR: 0.100000
Training Epoch: 11 [30208/48700]	Loss: 1.0188	LR: 0.100000
Training Epoch: 11 [30464/48700]	Loss: 1.1021	LR: 0.100000
Training Epoch: 11 [30720/48700]	Loss: 1.1703	LR: 0.100000
Training Epoch: 11 [30976/48700]	Loss: 1.1497	LR: 0.100000
Training Epoch: 11 [31232/48700]	Loss: 1.1293	LR: 0.100000
Training Epoch: 11 [31488/48700]	Loss: 0.9656	LR: 0.100000
Training Epoch: 11 [31744/48700]	Loss: 1.0904	LR: 0.100000
Training Epoch: 11 [32000/48700]	Loss: 1.1274	LR: 0.100000
Training Epoch: 11 [32256/48700]	Loss: 1.0677	LR: 0.100000
Training Epoch: 11 [32512/48700]	Loss: 1.1345	LR: 0.100000
Training Epoch: 11 [32768/48700]	Loss: 1.0850	LR: 0.100000
Training Epoch: 11 [33024/48700]	Loss: 1.1163	LR: 0.100000
Training Epoch: 11 [33280/48700]	Loss: 1.1028	LR: 0.100000
Training Epoch: 11 [33536/48700]	Loss: 1.1505	LR: 0.100000
Training Epoch: 11 [33792/48700]	Loss: 1.0675	LR: 0.100000
Training Epoch: 11 [34048/48700]	Loss: 1.1021	LR: 0.100000
Training Epoch: 11 [34304/48700]	Loss: 1.0898	LR: 0.100000
Training Epoch: 11 [34560/48700]	Loss: 0.9655	LR: 0.100000
Training Epoch: 11 [34816/48700]	Loss: 1.0586	LR: 0.100000
Training Epoch: 11 [35072/48700]	Loss: 1.0196	LR: 0.100000
Training Epoch: 11 [35328/48700]	Loss: 1.0595	LR: 0.100000
Training Epoch: 11 [35584/48700]	Loss: 1.0678	LR: 0.100000
Training Epoch: 11 [35840/48700]	Loss: 1.1437	LR: 0.100000
Training Epoch: 11 [36096/48700]	Loss: 0.9972	LR: 0.100000
Training Epoch: 11 [36352/48700]	Loss: 1.1417	LR: 0.100000
Training Epoch: 11 [36608/48700]	Loss: 1.1414	LR: 0.100000
Training Epoch: 11 [36864/48700]	Loss: 1.2019	LR: 0.100000
Training Epoch: 11 [37120/48700]	Loss: 1.0898	LR: 0.100000
Training Epoch: 11 [37376/48700]	Loss: 1.1411	LR: 0.100000
Training Epoch: 11 [37632/48700]	Loss: 0.9727	LR: 0.100000
Training Epoch: 11 [37888/48700]	Loss: 1.0922	LR: 0.100000
Training Epoch: 11 [38144/48700]	Loss: 1.1797	LR: 0.100000
Training Epoch: 11 [38400/48700]	Loss: 1.0828	LR: 0.100000
Training Epoch: 11 [38656/48700]	Loss: 1.0527	LR: 0.100000
Training Epoch: 11 [38912/48700]	Loss: 1.2620	LR: 0.100000
Training Epoch: 11 [39168/48700]	Loss: 1.1030	LR: 0.100000
Training Epoch: 11 [39424/48700]	Loss: 1.1711	LR: 0.100000
Training Epoch: 11 [39680/48700]	Loss: 1.1805	LR: 0.100000
Training Epoch: 11 [39936/48700]	Loss: 1.0113	LR: 0.100000
Training Epoch: 11 [40192/48700]	Loss: 1.2009	LR: 0.100000
Training Epoch: 11 [40448/48700]	Loss: 1.0509	LR: 0.100000
Training Epoch: 11 [40704/48700]	Loss: 1.0572	LR: 0.100000
Training Epoch: 11 [40960/48700]	Loss: 1.0316	LR: 0.100000
Training Epoch: 11 [41216/48700]	Loss: 1.1308	LR: 0.100000
Training Epoch: 11 [41472/48700]	Loss: 1.0627	LR: 0.100000
Training Epoch: 11 [41728/48700]	Loss: 1.1054	LR: 0.100000
Training Epoch: 11 [41984/48700]	Loss: 1.0806	LR: 0.100000
Training Epoch: 11 [42240/48700]	Loss: 1.1682	LR: 0.100000
Training Epoch: 11 [42496/48700]	Loss: 1.0127	LR: 0.100000
Training Epoch: 11 [42752/48700]	Loss: 1.0276	LR: 0.100000
Training Epoch: 11 [43008/48700]	Loss: 1.2124	LR: 0.100000
Training Epoch: 11 [43264/48700]	Loss: 1.0072	LR: 0.100000
Training Epoch: 11 [43520/48700]	Loss: 1.0940	LR: 0.100000
Training Epoch: 11 [43776/48700]	Loss: 1.0834	LR: 0.100000
Training Epoch: 11 [44032/48700]	Loss: 1.0684	LR: 0.100000
Training Epoch: 11 [44288/48700]	Loss: 1.1160	LR: 0.100000
Training Epoch: 11 [44544/48700]	Loss: 1.0651	LR: 0.100000
Training Epoch: 11 [44800/48700]	Loss: 1.0352	LR: 0.100000
Training Epoch: 11 [45056/48700]	Loss: 1.1495	LR: 0.100000
Training Epoch: 11 [45312/48700]	Loss: 0.9707	LR: 0.100000
Training Epoch: 11 [45568/48700]	Loss: 1.2671	LR: 0.100000
Training Epoch: 11 [45824/48700]	Loss: 1.1468	LR: 0.100000
Training Epoch: 11 [46080/48700]	Loss: 0.9627	LR: 0.100000
Training Epoch: 11 [46336/48700]	Loss: 1.1303	LR: 0.100000
Training Epoch: 11 [46592/48700]	Loss: 1.0381	LR: 0.100000
Training Epoch: 11 [46848/48700]	Loss: 1.1206	LR: 0.100000
Training Epoch: 11 [47104/48700]	Loss: 1.1589	LR: 0.100000
Training Epoch: 11 [47360/48700]	Loss: 1.2247	LR: 0.100000
Training Epoch: 11 [47616/48700]	Loss: 1.0604	LR: 0.100000
Training Epoch: 11 [47872/48700]	Loss: 0.9808	LR: 0.100000
Training Epoch: 11 [48128/48700]	Loss: 1.1340	LR: 0.100000
Training Epoch: 11 [48384/48700]	Loss: 1.0987	LR: 0.100000
Training Epoch: 11 [48640/48700]	Loss: 1.0686	LR: 0.100000
Training Epoch: 11 [48700/48700]	Loss: 1.1869	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1013, Train Accuracy: 0.6459
Epoch 11 training time consumed: 26.87s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0066, Accuracy: 0.5341, Time consumed:0.96s
Training Epoch: 12 [256/48700]	Loss: 1.0282	LR: 0.100000
Training Epoch: 12 [512/48700]	Loss: 0.9935	LR: 0.100000
Training Epoch: 12 [768/48700]	Loss: 1.1069	LR: 0.100000
Training Epoch: 12 [1024/48700]	Loss: 1.0013	LR: 0.100000
Training Epoch: 12 [1280/48700]	Loss: 1.0741	LR: 0.100000
Training Epoch: 12 [1536/48700]	Loss: 1.0000	LR: 0.100000
Training Epoch: 12 [1792/48700]	Loss: 1.0792	LR: 0.100000
Training Epoch: 12 [2048/48700]	Loss: 1.1576	LR: 0.100000
Training Epoch: 12 [2304/48700]	Loss: 1.2539	LR: 0.100000
Training Epoch: 12 [2560/48700]	Loss: 1.1471	LR: 0.100000
Training Epoch: 12 [2816/48700]	Loss: 1.0297	LR: 0.100000
Training Epoch: 12 [3072/48700]	Loss: 1.1200	LR: 0.100000
Training Epoch: 12 [3328/48700]	Loss: 1.1042	LR: 0.100000
Training Epoch: 12 [3584/48700]	Loss: 1.0628	LR: 0.100000
Training Epoch: 12 [3840/48700]	Loss: 1.0452	LR: 0.100000
Training Epoch: 12 [4096/48700]	Loss: 0.9786	LR: 0.100000
Training Epoch: 12 [4352/48700]	Loss: 1.1847	LR: 0.100000
Training Epoch: 12 [4608/48700]	Loss: 1.0768	LR: 0.100000
Training Epoch: 12 [4864/48700]	Loss: 1.0928	LR: 0.100000
Training Epoch: 12 [5120/48700]	Loss: 1.1173	LR: 0.100000
Training Epoch: 12 [5376/48700]	Loss: 0.9984	LR: 0.100000
Training Epoch: 12 [5632/48700]	Loss: 0.8701	LR: 0.100000
Training Epoch: 12 [5888/48700]	Loss: 0.9989	LR: 0.100000
Training Epoch: 12 [6144/48700]	Loss: 1.0474	LR: 0.100000
Training Epoch: 12 [6400/48700]	Loss: 1.2044	LR: 0.100000
Training Epoch: 12 [6656/48700]	Loss: 1.0903	LR: 0.100000
Training Epoch: 12 [6912/48700]	Loss: 1.0781	LR: 0.100000
Training Epoch: 12 [7168/48700]	Loss: 1.0064	LR: 0.100000
Training Epoch: 12 [7424/48700]	Loss: 1.1646	LR: 0.100000
Training Epoch: 12 [7680/48700]	Loss: 0.9872	LR: 0.100000
Training Epoch: 12 [7936/48700]	Loss: 0.9139	LR: 0.100000
Training Epoch: 12 [8192/48700]	Loss: 1.1607	LR: 0.100000
Training Epoch: 12 [8448/48700]	Loss: 0.9894	LR: 0.100000
Training Epoch: 12 [8704/48700]	Loss: 0.9646	LR: 0.100000
Training Epoch: 12 [8960/48700]	Loss: 1.2024	LR: 0.100000
Training Epoch: 12 [9216/48700]	Loss: 0.9799	LR: 0.100000
Training Epoch: 12 [9472/48700]	Loss: 1.0179	LR: 0.100000
Training Epoch: 12 [9728/48700]	Loss: 0.9762	LR: 0.100000
Training Epoch: 12 [9984/48700]	Loss: 1.0983	LR: 0.100000
Training Epoch: 12 [10240/48700]	Loss: 0.9824	LR: 0.100000
Training Epoch: 12 [10496/48700]	Loss: 0.9280	LR: 0.100000
Training Epoch: 12 [10752/48700]	Loss: 1.0330	LR: 0.100000
Training Epoch: 12 [11008/48700]	Loss: 0.9145	LR: 0.100000
Training Epoch: 12 [11264/48700]	Loss: 1.1005	LR: 0.100000
Training Epoch: 12 [11520/48700]	Loss: 1.1555	LR: 0.100000
Training Epoch: 12 [11776/48700]	Loss: 1.0481	LR: 0.100000
Training Epoch: 12 [12032/48700]	Loss: 1.1919	LR: 0.100000
Training Epoch: 12 [12288/48700]	Loss: 1.0913	LR: 0.100000
Training Epoch: 12 [12544/48700]	Loss: 0.9517	LR: 0.100000
Training Epoch: 12 [12800/48700]	Loss: 0.9539	LR: 0.100000
Training Epoch: 12 [13056/48700]	Loss: 1.1228	LR: 0.100000
Training Epoch: 12 [13312/48700]	Loss: 0.9522	LR: 0.100000
Training Epoch: 12 [13568/48700]	Loss: 1.0099	LR: 0.100000
Training Epoch: 12 [13824/48700]	Loss: 1.1158	LR: 0.100000
Training Epoch: 12 [14080/48700]	Loss: 1.1908	LR: 0.100000
Training Epoch: 12 [14336/48700]	Loss: 0.9888	LR: 0.100000
Training Epoch: 12 [14592/48700]	Loss: 0.8711	LR: 0.100000
Training Epoch: 12 [14848/48700]	Loss: 1.0382	LR: 0.100000
Training Epoch: 12 [15104/48700]	Loss: 0.9352	LR: 0.100000
Training Epoch: 12 [15360/48700]	Loss: 1.0205	LR: 0.100000
Training Epoch: 12 [15616/48700]	Loss: 0.9497	LR: 0.100000
Training Epoch: 12 [15872/48700]	Loss: 0.9158	LR: 0.100000
Training Epoch: 12 [16128/48700]	Loss: 1.1117	LR: 0.100000
Training Epoch: 12 [16384/48700]	Loss: 1.0149	LR: 0.100000
Training Epoch: 12 [16640/48700]	Loss: 1.1389	LR: 0.100000
Training Epoch: 12 [16896/48700]	Loss: 1.0938	LR: 0.100000
Training Epoch: 12 [17152/48700]	Loss: 1.1010	LR: 0.100000
Training Epoch: 12 [17408/48700]	Loss: 0.9231	LR: 0.100000
Training Epoch: 12 [17664/48700]	Loss: 1.0394	LR: 0.100000
Training Epoch: 12 [17920/48700]	Loss: 1.0995	LR: 0.100000
Training Epoch: 12 [18176/48700]	Loss: 0.9728	LR: 0.100000
Training Epoch: 12 [18432/48700]	Loss: 0.9611	LR: 0.100000
Training Epoch: 12 [18688/48700]	Loss: 0.9798	LR: 0.100000
Training Epoch: 12 [18944/48700]	Loss: 1.0045	LR: 0.100000
Training Epoch: 12 [19200/48700]	Loss: 1.1062	LR: 0.100000
Training Epoch: 12 [19456/48700]	Loss: 0.8949	LR: 0.100000
Training Epoch: 12 [19712/48700]	Loss: 1.1924	LR: 0.100000
Training Epoch: 12 [19968/48700]	Loss: 1.0080	LR: 0.100000
Training Epoch: 12 [20224/48700]	Loss: 0.9886	LR: 0.100000
Training Epoch: 12 [20480/48700]	Loss: 1.0609	LR: 0.100000
Training Epoch: 12 [20736/48700]	Loss: 0.9134	LR: 0.100000
Training Epoch: 12 [20992/48700]	Loss: 1.1216	LR: 0.100000
Training Epoch: 12 [21248/48700]	Loss: 1.0228	LR: 0.100000
Training Epoch: 12 [21504/48700]	Loss: 1.0552	LR: 0.100000
Training Epoch: 12 [21760/48700]	Loss: 1.1562	LR: 0.100000
Training Epoch: 12 [22016/48700]	Loss: 1.0784	LR: 0.100000
Training Epoch: 12 [22272/48700]	Loss: 1.1183	LR: 0.100000
Training Epoch: 12 [22528/48700]	Loss: 1.1201	LR: 0.100000
Training Epoch: 12 [22784/48700]	Loss: 1.1011	LR: 0.100000
Training Epoch: 12 [23040/48700]	Loss: 1.0351	LR: 0.100000
Training Epoch: 12 [23296/48700]	Loss: 1.0218	LR: 0.100000
Training Epoch: 12 [23552/48700]	Loss: 1.1204	LR: 0.100000
Training Epoch: 12 [23808/48700]	Loss: 0.9731	LR: 0.100000
Training Epoch: 12 [24064/48700]	Loss: 1.0568	LR: 0.100000
Training Epoch: 12 [24320/48700]	Loss: 1.0490	LR: 0.100000
Training Epoch: 12 [24576/48700]	Loss: 1.1022	LR: 0.100000
Training Epoch: 12 [24832/48700]	Loss: 0.9871	LR: 0.100000
Training Epoch: 12 [25088/48700]	Loss: 1.1182	LR: 0.100000
Training Epoch: 12 [25344/48700]	Loss: 1.0629	LR: 0.100000
Training Epoch: 12 [25600/48700]	Loss: 0.9910	LR: 0.100000
Training Epoch: 12 [25856/48700]	Loss: 1.0473	LR: 0.100000
Training Epoch: 12 [26112/48700]	Loss: 1.1570	LR: 0.100000
Training Epoch: 12 [26368/48700]	Loss: 1.1902	LR: 0.100000
Training Epoch: 12 [26624/48700]	Loss: 1.0577	LR: 0.100000
Training Epoch: 12 [26880/48700]	Loss: 1.2685	LR: 0.100000
Training Epoch: 12 [27136/48700]	Loss: 0.9931	LR: 0.100000
Training Epoch: 12 [27392/48700]	Loss: 0.9852	LR: 0.100000
Training Epoch: 12 [27648/48700]	Loss: 0.9165	LR: 0.100000
Training Epoch: 12 [27904/48700]	Loss: 1.2371	LR: 0.100000
Training Epoch: 12 [28160/48700]	Loss: 1.0801	LR: 0.100000
Training Epoch: 12 [28416/48700]	Loss: 1.0705	LR: 0.100000
Training Epoch: 12 [28672/48700]	Loss: 0.8916	LR: 0.100000
Training Epoch: 12 [28928/48700]	Loss: 1.0471	LR: 0.100000
Training Epoch: 12 [29184/48700]	Loss: 0.9862	LR: 0.100000
Training Epoch: 12 [29440/48700]	Loss: 0.9978	LR: 0.100000
Training Epoch: 12 [29696/48700]	Loss: 1.0379	LR: 0.100000
Training Epoch: 12 [29952/48700]	Loss: 1.1364	LR: 0.100000
Training Epoch: 12 [30208/48700]	Loss: 1.0503	LR: 0.100000
Training Epoch: 12 [30464/48700]	Loss: 1.1558	LR: 0.100000
Training Epoch: 12 [30720/48700]	Loss: 1.0127	LR: 0.100000
Training Epoch: 12 [30976/48700]	Loss: 1.0654	LR: 0.100000
Training Epoch: 12 [31232/48700]	Loss: 1.0105	LR: 0.100000
Training Epoch: 12 [31488/48700]	Loss: 1.2576	LR: 0.100000
Training Epoch: 12 [31744/48700]	Loss: 1.0912	LR: 0.100000
Training Epoch: 12 [32000/48700]	Loss: 1.0830	LR: 0.100000
Training Epoch: 12 [32256/48700]	Loss: 1.0097	LR: 0.100000
Training Epoch: 12 [32512/48700]	Loss: 1.1964	LR: 0.100000
Training Epoch: 12 [32768/48700]	Loss: 1.0951	LR: 0.100000
Training Epoch: 12 [33024/48700]	Loss: 1.1309	LR: 0.100000
Training Epoch: 12 [33280/48700]	Loss: 1.0933	LR: 0.100000
Training Epoch: 12 [33536/48700]	Loss: 0.9521	LR: 0.100000
Training Epoch: 12 [33792/48700]	Loss: 1.1056	LR: 0.100000
Training Epoch: 12 [34048/48700]	Loss: 1.1178	LR: 0.100000
Training Epoch: 12 [34304/48700]	Loss: 1.0945	LR: 0.100000
Training Epoch: 12 [34560/48700]	Loss: 1.1060	LR: 0.100000
Training Epoch: 12 [34816/48700]	Loss: 1.1298	LR: 0.100000
Training Epoch: 12 [35072/48700]	Loss: 1.1472	LR: 0.100000
Training Epoch: 12 [35328/48700]	Loss: 1.2292	LR: 0.100000
Training Epoch: 12 [35584/48700]	Loss: 1.1124	LR: 0.100000
Training Epoch: 12 [35840/48700]	Loss: 1.1146	LR: 0.100000
Training Epoch: 12 [36096/48700]	Loss: 1.1025	LR: 0.100000
Training Epoch: 12 [36352/48700]	Loss: 1.0415	LR: 0.100000
Training Epoch: 12 [36608/48700]	Loss: 0.9747	LR: 0.100000
Training Epoch: 12 [36864/48700]	Loss: 1.0304	LR: 0.100000
Training Epoch: 12 [37120/48700]	Loss: 1.0527	LR: 0.100000
Training Epoch: 12 [37376/48700]	Loss: 1.1860	LR: 0.100000
Training Epoch: 12 [37632/48700]	Loss: 1.1555	LR: 0.100000
Training Epoch: 12 [37888/48700]	Loss: 1.0822	LR: 0.100000
Training Epoch: 12 [38144/48700]	Loss: 1.1349	LR: 0.100000
Training Epoch: 12 [38400/48700]	Loss: 1.0134	LR: 0.100000
Training Epoch: 12 [38656/48700]	Loss: 1.1015	LR: 0.100000
Training Epoch: 12 [38912/48700]	Loss: 1.0772	LR: 0.100000
Training Epoch: 12 [39168/48700]	Loss: 1.0299	LR: 0.100000
Training Epoch: 12 [39424/48700]	Loss: 1.0916	LR: 0.100000
Training Epoch: 12 [39680/48700]	Loss: 0.9644	LR: 0.100000
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Training Epoch: 12 [48640/48700]	Loss: 1.1040	LR: 0.100000
Training Epoch: 12 [48700/48700]	Loss: 0.9680	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0607, Train Accuracy: 0.6592
Epoch 12 training time consumed: 26.99s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0048, Accuracy: 0.6270, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-12-best.pth
Training Epoch: 13 [256/48700]	Loss: 0.9474	LR: 0.100000
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Training Epoch: 13 [48700/48700]	Loss: 0.9920	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0391, Train Accuracy: 0.6672
Epoch 13 training time consumed: 27.08s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0051, Accuracy: 0.6147, Time consumed:0.87s
Training Epoch: 14 [256/48700]	Loss: 1.1048	LR: 0.100000
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Training Epoch: 14 [17152/48700]	Loss: 0.9308	LR: 0.100000
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Training Epoch: 14 [17664/48700]	Loss: 0.9655	LR: 0.100000
Training Epoch: 14 [17920/48700]	Loss: 0.8935	LR: 0.100000
Training Epoch: 14 [18176/48700]	Loss: 0.9359	LR: 0.100000
Training Epoch: 14 [18432/48700]	Loss: 0.8914	LR: 0.100000
Training Epoch: 14 [18688/48700]	Loss: 0.9902	LR: 0.100000
Training Epoch: 14 [18944/48700]	Loss: 0.9867	LR: 0.100000
Training Epoch: 14 [19200/48700]	Loss: 1.1478	LR: 0.100000
Training Epoch: 14 [19456/48700]	Loss: 0.9480	LR: 0.100000
Training Epoch: 14 [19712/48700]	Loss: 1.0745	LR: 0.100000
Training Epoch: 14 [19968/48700]	Loss: 1.0634	LR: 0.100000
Training Epoch: 14 [20224/48700]	Loss: 0.9251	LR: 0.100000
Training Epoch: 14 [20480/48700]	Loss: 1.1078	LR: 0.100000
Training Epoch: 14 [20736/48700]	Loss: 1.1137	LR: 0.100000
Training Epoch: 14 [20992/48700]	Loss: 1.0601	LR: 0.100000
Training Epoch: 14 [21248/48700]	Loss: 1.0379	LR: 0.100000
Training Epoch: 14 [21504/48700]	Loss: 1.0472	LR: 0.100000
Training Epoch: 14 [21760/48700]	Loss: 0.9519	LR: 0.100000
Training Epoch: 14 [22016/48700]	Loss: 1.1002	LR: 0.100000
Training Epoch: 14 [22272/48700]	Loss: 1.1949	LR: 0.100000
Training Epoch: 14 [22528/48700]	Loss: 0.9187	LR: 0.100000
Training Epoch: 14 [22784/48700]	Loss: 0.9857	LR: 0.100000
Training Epoch: 14 [23040/48700]	Loss: 1.0521	LR: 0.100000
Training Epoch: 14 [23296/48700]	Loss: 1.0799	LR: 0.100000
Training Epoch: 14 [23552/48700]	Loss: 0.9898	LR: 0.100000
Training Epoch: 14 [23808/48700]	Loss: 1.0507	LR: 0.100000
Training Epoch: 14 [24064/48700]	Loss: 1.1641	LR: 0.100000
Training Epoch: 14 [24320/48700]	Loss: 1.1995	LR: 0.100000
Training Epoch: 14 [24576/48700]	Loss: 1.0963	LR: 0.100000
Training Epoch: 14 [24832/48700]	Loss: 0.9986	LR: 0.100000
Training Epoch: 14 [25088/48700]	Loss: 1.0997	LR: 0.100000
Training Epoch: 14 [25344/48700]	Loss: 1.0201	LR: 0.100000
Training Epoch: 14 [25600/48700]	Loss: 0.9653	LR: 0.100000
Training Epoch: 14 [25856/48700]	Loss: 0.9913	LR: 0.100000
Training Epoch: 14 [26112/48700]	Loss: 0.9553	LR: 0.100000
Training Epoch: 14 [26368/48700]	Loss: 1.0888	LR: 0.100000
Training Epoch: 14 [26624/48700]	Loss: 0.9730	LR: 0.100000
Training Epoch: 14 [26880/48700]	Loss: 1.0938	LR: 0.100000
Training Epoch: 14 [27136/48700]	Loss: 1.0329	LR: 0.100000
Training Epoch: 14 [27392/48700]	Loss: 1.0715	LR: 0.100000
Training Epoch: 14 [27648/48700]	Loss: 0.8916	LR: 0.100000
Training Epoch: 14 [27904/48700]	Loss: 1.0405	LR: 0.100000
Training Epoch: 14 [28160/48700]	Loss: 0.9933	LR: 0.100000
Training Epoch: 14 [28416/48700]	Loss: 0.9627	LR: 0.100000
Training Epoch: 14 [28672/48700]	Loss: 1.0092	LR: 0.100000
Training Epoch: 14 [28928/48700]	Loss: 1.0334	LR: 0.100000
Training Epoch: 14 [29184/48700]	Loss: 0.9997	LR: 0.100000
Training Epoch: 14 [29440/48700]	Loss: 0.8374	LR: 0.100000
Training Epoch: 14 [29696/48700]	Loss: 0.9892	LR: 0.100000
Training Epoch: 14 [29952/48700]	Loss: 0.8281	LR: 0.100000
Training Epoch: 14 [30208/48700]	Loss: 1.1208	LR: 0.100000
Training Epoch: 14 [30464/48700]	Loss: 1.1432	LR: 0.100000
Training Epoch: 14 [30720/48700]	Loss: 0.8602	LR: 0.100000
Training Epoch: 14 [30976/48700]	Loss: 0.8558	LR: 0.100000
Training Epoch: 14 [31232/48700]	Loss: 0.9219	LR: 0.100000
Training Epoch: 14 [31488/48700]	Loss: 1.0324	LR: 0.100000
Training Epoch: 14 [31744/48700]	Loss: 1.2463	LR: 0.100000
Training Epoch: 14 [32000/48700]	Loss: 1.0410	LR: 0.100000
Training Epoch: 14 [32256/48700]	Loss: 1.0464	LR: 0.100000
Training Epoch: 14 [32512/48700]	Loss: 1.0132	LR: 0.100000
Training Epoch: 14 [32768/48700]	Loss: 1.0481	LR: 0.100000
Training Epoch: 14 [33024/48700]	Loss: 0.9488	LR: 0.100000
Training Epoch: 14 [33280/48700]	Loss: 1.0214	LR: 0.100000
Training Epoch: 14 [33536/48700]	Loss: 0.9139	LR: 0.100000
Training Epoch: 14 [33792/48700]	Loss: 0.8797	LR: 0.100000
Training Epoch: 14 [34048/48700]	Loss: 1.0961	LR: 0.100000
Training Epoch: 14 [34304/48700]	Loss: 0.8824	LR: 0.100000
Training Epoch: 14 [34560/48700]	Loss: 0.9655	LR: 0.100000
Training Epoch: 14 [34816/48700]	Loss: 1.0264	LR: 0.100000
Training Epoch: 14 [35072/48700]	Loss: 0.9335	LR: 0.100000
Training Epoch: 14 [35328/48700]	Loss: 0.9149	LR: 0.100000
Training Epoch: 14 [35584/48700]	Loss: 1.0245	LR: 0.100000
Training Epoch: 14 [35840/48700]	Loss: 1.0404	LR: 0.100000
Training Epoch: 14 [36096/48700]	Loss: 1.0102	LR: 0.100000
Training Epoch: 14 [36352/48700]	Loss: 0.9193	LR: 0.100000
Training Epoch: 14 [36608/48700]	Loss: 0.9240	LR: 0.100000
Training Epoch: 14 [36864/48700]	Loss: 1.1152	LR: 0.100000
Training Epoch: 14 [37120/48700]	Loss: 1.0910	LR: 0.100000
Training Epoch: 14 [37376/48700]	Loss: 0.9062	LR: 0.100000
Training Epoch: 14 [37632/48700]	Loss: 0.9454	LR: 0.100000
Training Epoch: 14 [37888/48700]	Loss: 1.0913	LR: 0.100000
Training Epoch: 14 [38144/48700]	Loss: 1.0650	LR: 0.100000
Training Epoch: 14 [38400/48700]	Loss: 1.0521	LR: 0.100000
Training Epoch: 14 [38656/48700]	Loss: 1.1285	LR: 0.100000
Training Epoch: 14 [38912/48700]	Loss: 1.1699	LR: 0.100000
Training Epoch: 14 [39168/48700]	Loss: 0.9665	LR: 0.100000
Training Epoch: 14 [39424/48700]	Loss: 1.0451	LR: 0.100000
Training Epoch: 14 [39680/48700]	Loss: 1.1652	LR: 0.100000
Training Epoch: 14 [39936/48700]	Loss: 1.0210	LR: 0.100000
Training Epoch: 14 [40192/48700]	Loss: 1.0861	LR: 0.100000
Training Epoch: 14 [40448/48700]	Loss: 1.0548	LR: 0.100000
Training Epoch: 14 [40704/48700]	Loss: 1.1323	LR: 0.100000
Training Epoch: 14 [40960/48700]	Loss: 1.0072	LR: 0.100000
Training Epoch: 14 [41216/48700]	Loss: 1.0050	LR: 0.100000
Training Epoch: 14 [41472/48700]	Loss: 0.9695	LR: 0.100000
Training Epoch: 14 [41728/48700]	Loss: 1.0341	LR: 0.100000
Training Epoch: 14 [41984/48700]	Loss: 1.0797	LR: 0.100000
Training Epoch: 14 [42240/48700]	Loss: 1.0375	LR: 0.100000
Training Epoch: 14 [42496/48700]	Loss: 0.9612	LR: 0.100000
Training Epoch: 14 [42752/48700]	Loss: 1.1714	LR: 0.100000
Training Epoch: 14 [43008/48700]	Loss: 1.0718	LR: 0.100000
Training Epoch: 14 [43264/48700]	Loss: 0.9474	LR: 0.100000
Training Epoch: 14 [43520/48700]	Loss: 0.9951	LR: 0.100000
Training Epoch: 14 [43776/48700]	Loss: 0.9340	LR: 0.100000
Training Epoch: 14 [44032/48700]	Loss: 0.9622	LR: 0.100000
Training Epoch: 14 [44288/48700]	Loss: 1.0397	LR: 0.100000
Training Epoch: 14 [44544/48700]	Loss: 1.0544	LR: 0.100000
Training Epoch: 14 [44800/48700]	Loss: 1.0325	LR: 0.100000
Training Epoch: 14 [45056/48700]	Loss: 0.9390	LR: 0.100000
Training Epoch: 14 [45312/48700]	Loss: 0.9538	LR: 0.100000
Training Epoch: 14 [45568/48700]	Loss: 0.9201	LR: 0.100000
Training Epoch: 14 [45824/48700]	Loss: 1.1253	LR: 0.100000
Training Epoch: 14 [46080/48700]	Loss: 0.9277	LR: 0.100000
Training Epoch: 14 [46336/48700]	Loss: 1.0106	LR: 0.100000
Training Epoch: 14 [46592/48700]	Loss: 1.0263	LR: 0.100000
Training Epoch: 14 [46848/48700]	Loss: 1.0444	LR: 0.100000
Training Epoch: 14 [47104/48700]	Loss: 1.0794	LR: 0.100000
Training Epoch: 14 [47360/48700]	Loss: 0.8797	LR: 0.100000
Training Epoch: 14 [47616/48700]	Loss: 1.0506	LR: 0.100000
Training Epoch: 14 [47872/48700]	Loss: 0.9725	LR: 0.100000
Training Epoch: 14 [48128/48700]	Loss: 1.0587	LR: 0.100000
Training Epoch: 14 [48384/48700]	Loss: 0.9620	LR: 0.100000
Training Epoch: 14 [48640/48700]	Loss: 0.9625	LR: 0.100000
Training Epoch: 14 [48700/48700]	Loss: 0.9954	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0014, Train Accuracy: 0.6772
Epoch 14 training time consumed: 26.89s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0051, Accuracy: 0.6119, Time consumed:0.88s
Training Epoch: 15 [256/48700]	Loss: 1.0402	LR: 0.020000
Training Epoch: 15 [512/48700]	Loss: 0.8607	LR: 0.020000
Training Epoch: 15 [768/48700]	Loss: 1.0071	LR: 0.020000
Training Epoch: 15 [1024/48700]	Loss: 0.9272	LR: 0.020000
Training Epoch: 15 [1280/48700]	Loss: 0.9079	LR: 0.020000
Training Epoch: 15 [1536/48700]	Loss: 0.9698	LR: 0.020000
Training Epoch: 15 [1792/48700]	Loss: 0.9505	LR: 0.020000
Training Epoch: 15 [2048/48700]	Loss: 0.9267	LR: 0.020000
Training Epoch: 15 [2304/48700]	Loss: 0.8584	LR: 0.020000
Training Epoch: 15 [2560/48700]	Loss: 0.8483	LR: 0.020000
Training Epoch: 15 [2816/48700]	Loss: 0.9258	LR: 0.020000
Training Epoch: 15 [3072/48700]	Loss: 1.0203	LR: 0.020000
Training Epoch: 15 [3328/48700]	Loss: 0.7847	LR: 0.020000
Training Epoch: 15 [3584/48700]	Loss: 0.8475	LR: 0.020000
Training Epoch: 15 [3840/48700]	Loss: 0.9022	LR: 0.020000
Training Epoch: 15 [4096/48700]	Loss: 0.8367	LR: 0.020000
Training Epoch: 15 [4352/48700]	Loss: 0.7706	LR: 0.020000
Training Epoch: 15 [4608/48700]	Loss: 0.7727	LR: 0.020000
Training Epoch: 15 [4864/48700]	Loss: 0.7816	LR: 0.020000
Training Epoch: 15 [5120/48700]	Loss: 0.8293	LR: 0.020000
Training Epoch: 15 [5376/48700]	Loss: 0.8411	LR: 0.020000
Training Epoch: 15 [5632/48700]	Loss: 0.7970	LR: 0.020000
Training Epoch: 15 [5888/48700]	Loss: 0.7134	LR: 0.020000
Training Epoch: 15 [6144/48700]	Loss: 0.7031	LR: 0.020000
Training Epoch: 15 [6400/48700]	Loss: 0.8232	LR: 0.020000
Training Epoch: 15 [6656/48700]	Loss: 0.7322	LR: 0.020000
Training Epoch: 15 [6912/48700]	Loss: 0.8019	LR: 0.020000
Training Epoch: 15 [7168/48700]	Loss: 0.8762	LR: 0.020000
Training Epoch: 15 [7424/48700]	Loss: 0.7268	LR: 0.020000
Training Epoch: 15 [7680/48700]	Loss: 0.8071	LR: 0.020000
Training Epoch: 15 [7936/48700]	Loss: 0.9159	LR: 0.020000
Training Epoch: 15 [8192/48700]	Loss: 0.8270	LR: 0.020000
Training Epoch: 15 [8448/48700]	Loss: 0.7966	LR: 0.020000
Training Epoch: 15 [8704/48700]	Loss: 0.8307	LR: 0.020000
Training Epoch: 15 [8960/48700]	Loss: 0.7548	LR: 0.020000
Training Epoch: 15 [9216/48700]	Loss: 0.8276	LR: 0.020000
Training Epoch: 15 [9472/48700]	Loss: 0.8193	LR: 0.020000
Training Epoch: 15 [9728/48700]	Loss: 0.8166	LR: 0.020000
Training Epoch: 15 [9984/48700]	Loss: 0.8019	LR: 0.020000
Training Epoch: 15 [10240/48700]	Loss: 0.7013	LR: 0.020000
Training Epoch: 15 [10496/48700]	Loss: 0.7990	LR: 0.020000
Training Epoch: 15 [10752/48700]	Loss: 0.9191	LR: 0.020000
Training Epoch: 15 [11008/48700]	Loss: 0.6671	LR: 0.020000
Training Epoch: 15 [11264/48700]	Loss: 0.7801	LR: 0.020000
Training Epoch: 15 [11520/48700]	Loss: 0.7843	LR: 0.020000
Training Epoch: 15 [11776/48700]	Loss: 0.8524	LR: 0.020000
Training Epoch: 15 [12032/48700]	Loss: 0.8008	LR: 0.020000
Training Epoch: 15 [12288/48700]	Loss: 0.8067	LR: 0.020000
Training Epoch: 15 [12544/48700]	Loss: 0.6985	LR: 0.020000
Training Epoch: 15 [12800/48700]	Loss: 0.8334	LR: 0.020000
Training Epoch: 15 [13056/48700]	Loss: 0.8697	LR: 0.020000
Training Epoch: 15 [13312/48700]	Loss: 0.7976	LR: 0.020000
Training Epoch: 15 [13568/48700]	Loss: 0.7730	LR: 0.020000
Training Epoch: 15 [13824/48700]	Loss: 0.7753	LR: 0.020000
Training Epoch: 15 [14080/48700]	Loss: 0.7276	LR: 0.020000
Training Epoch: 15 [14336/48700]	Loss: 0.7441	LR: 0.020000
Training Epoch: 15 [14592/48700]	Loss: 0.7692	LR: 0.020000
Training Epoch: 15 [14848/48700]	Loss: 0.8032	LR: 0.020000
Training Epoch: 15 [15104/48700]	Loss: 0.8026	LR: 0.020000
Training Epoch: 15 [15360/48700]	Loss: 0.5545	LR: 0.020000
Training Epoch: 15 [15616/48700]	Loss: 0.7424	LR: 0.020000
Training Epoch: 15 [15872/48700]	Loss: 0.8217	LR: 0.020000
Training Epoch: 15 [16128/48700]	Loss: 0.8177	LR: 0.020000
Training Epoch: 15 [16384/48700]	Loss: 0.8066	LR: 0.020000
Training Epoch: 15 [16640/48700]	Loss: 0.8513	LR: 0.020000
Training Epoch: 15 [16896/48700]	Loss: 0.7658	LR: 0.020000
Training Epoch: 15 [17152/48700]	Loss: 0.8607	LR: 0.020000
Training Epoch: 15 [17408/48700]	Loss: 0.8174	LR: 0.020000
Training Epoch: 15 [17664/48700]	Loss: 0.6042	LR: 0.020000
Training Epoch: 15 [17920/48700]	Loss: 0.7259	LR: 0.020000
Training Epoch: 15 [18176/48700]	Loss: 0.7897	LR: 0.020000
Training Epoch: 15 [18432/48700]	Loss: 0.8461	LR: 0.020000
Training Epoch: 15 [18688/48700]	Loss: 0.9058	LR: 0.020000
Training Epoch: 15 [18944/48700]	Loss: 0.8158	LR: 0.020000
Training Epoch: 15 [19200/48700]	Loss: 0.8643	LR: 0.020000
Training Epoch: 15 [19456/48700]	Loss: 0.7673	LR: 0.020000
Training Epoch: 15 [19712/48700]	Loss: 0.7573	LR: 0.020000
Training Epoch: 15 [19968/48700]	Loss: 0.6568	LR: 0.020000
Training Epoch: 15 [20224/48700]	Loss: 0.7225	LR: 0.020000
Training Epoch: 15 [20480/48700]	Loss: 0.7598	LR: 0.020000
Training Epoch: 15 [20736/48700]	Loss: 0.7602	LR: 0.020000
Training Epoch: 15 [20992/48700]	Loss: 0.6732	LR: 0.020000
Training Epoch: 15 [21248/48700]	Loss: 0.7505	LR: 0.020000
Training Epoch: 15 [21504/48700]	Loss: 0.7968	LR: 0.020000
Training Epoch: 15 [21760/48700]	Loss: 0.7713	LR: 0.020000
Training Epoch: 15 [22016/48700]	Loss: 0.7543	LR: 0.020000
Training Epoch: 15 [22272/48700]	Loss: 0.7205	LR: 0.020000
Training Epoch: 15 [22528/48700]	Loss: 0.8406	LR: 0.020000
Training Epoch: 15 [22784/48700]	Loss: 0.6554	LR: 0.020000
Training Epoch: 15 [23040/48700]	Loss: 0.7720	LR: 0.020000
Training Epoch: 15 [23296/48700]	Loss: 0.7798	LR: 0.020000
Training Epoch: 15 [23552/48700]	Loss: 0.9303	LR: 0.020000
Training Epoch: 15 [23808/48700]	Loss: 0.7236	LR: 0.020000
Training Epoch: 15 [24064/48700]	Loss: 0.7742	LR: 0.020000
Training Epoch: 15 [24320/48700]	Loss: 0.7076	LR: 0.020000
Training Epoch: 15 [24576/48700]	Loss: 0.7026	LR: 0.020000
Training Epoch: 15 [24832/48700]	Loss: 0.7970	LR: 0.020000
Training Epoch: 15 [25088/48700]	Loss: 0.7388	LR: 0.020000
Training Epoch: 15 [25344/48700]	Loss: 0.8341	LR: 0.020000
Training Epoch: 15 [25600/48700]	Loss: 0.7851	LR: 0.020000
Training Epoch: 15 [25856/48700]	Loss: 0.7261	LR: 0.020000
Training Epoch: 15 [26112/48700]	Loss: 0.7308	LR: 0.020000
Training Epoch: 15 [26368/48700]	Loss: 0.7506	LR: 0.020000
Training Epoch: 15 [26624/48700]	Loss: 0.6975	LR: 0.020000
Training Epoch: 15 [26880/48700]	Loss: 0.7415	LR: 0.020000
Training Epoch: 15 [27136/48700]	Loss: 0.8012	LR: 0.020000
Training Epoch: 15 [27392/48700]	Loss: 0.6691	LR: 0.020000
Training Epoch: 15 [27648/48700]	Loss: 0.8071	LR: 0.020000
Training Epoch: 15 [27904/48700]	Loss: 0.7115	LR: 0.020000
Training Epoch: 15 [28160/48700]	Loss: 0.6387	LR: 0.020000
Training Epoch: 15 [28416/48700]	Loss: 0.8396	LR: 0.020000
Training Epoch: 15 [28672/48700]	Loss: 0.6569	LR: 0.020000
Training Epoch: 15 [28928/48700]	Loss: 0.7521	LR: 0.020000
Training Epoch: 15 [29184/48700]	Loss: 0.6184	LR: 0.020000
Training Epoch: 15 [29440/48700]	Loss: 0.7601	LR: 0.020000
Training Epoch: 15 [29696/48700]	Loss: 0.7381	LR: 0.020000
Training Epoch: 15 [29952/48700]	Loss: 0.7436	LR: 0.020000
Training Epoch: 15 [30208/48700]	Loss: 0.7569	LR: 0.020000
Training Epoch: 15 [30464/48700]	Loss: 0.7413	LR: 0.020000
Training Epoch: 15 [30720/48700]	Loss: 0.7449	LR: 0.020000
Training Epoch: 15 [30976/48700]	Loss: 0.8743	LR: 0.020000
Training Epoch: 15 [31232/48700]	Loss: 0.6660	LR: 0.020000
Training Epoch: 15 [31488/48700]	Loss: 0.7593	LR: 0.020000
Training Epoch: 15 [31744/48700]	Loss: 0.8219	LR: 0.020000
Training Epoch: 15 [32000/48700]	Loss: 0.7093	LR: 0.020000
Training Epoch: 15 [32256/48700]	Loss: 0.6859	LR: 0.020000
Training Epoch: 15 [32512/48700]	Loss: 0.6781	LR: 0.020000
Training Epoch: 15 [32768/48700]	Loss: 0.7566	LR: 0.020000
Training Epoch: 15 [33024/48700]	Loss: 0.8213	LR: 0.020000
Training Epoch: 15 [33280/48700]	Loss: 0.6990	LR: 0.020000
Training Epoch: 15 [33536/48700]	Loss: 0.7335	LR: 0.020000
Training Epoch: 15 [33792/48700]	Loss: 0.7767	LR: 0.020000
Training Epoch: 15 [34048/48700]	Loss: 0.7510	LR: 0.020000
Training Epoch: 15 [34304/48700]	Loss: 0.7102	LR: 0.020000
Training Epoch: 15 [34560/48700]	Loss: 0.7262	LR: 0.020000
Training Epoch: 15 [34816/48700]	Loss: 0.7773	LR: 0.020000
Training Epoch: 15 [35072/48700]	Loss: 0.8005	LR: 0.020000
Training Epoch: 15 [35328/48700]	Loss: 0.6933	LR: 0.020000
Training Epoch: 15 [35584/48700]	Loss: 0.7236	LR: 0.020000
Training Epoch: 15 [35840/48700]	Loss: 0.7674	LR: 0.020000
Training Epoch: 15 [36096/48700]	Loss: 0.7754	LR: 0.020000
Training Epoch: 15 [36352/48700]	Loss: 0.7779	LR: 0.020000
Training Epoch: 15 [36608/48700]	Loss: 0.7028	LR: 0.020000
Training Epoch: 15 [36864/48700]	Loss: 0.6695	LR: 0.020000
Training Epoch: 15 [37120/48700]	Loss: 0.8059	LR: 0.020000
Training Epoch: 15 [37376/48700]	Loss: 0.6912	LR: 0.020000
Training Epoch: 15 [37632/48700]	Loss: 0.7107	LR: 0.020000
Training Epoch: 15 [37888/48700]	Loss: 0.7501	LR: 0.020000
Training Epoch: 15 [38144/48700]	Loss: 0.7930	LR: 0.020000
Training Epoch: 15 [38400/48700]	Loss: 0.7186	LR: 0.020000
Training Epoch: 15 [38656/48700]	Loss: 0.6516	LR: 0.020000
Training Epoch: 15 [38912/48700]	Loss: 0.7066	LR: 0.020000
Training Epoch: 15 [39168/48700]	Loss: 0.7417	LR: 0.020000
Training Epoch: 15 [39424/48700]	Loss: 0.7226	LR: 0.020000
Training Epoch: 15 [39680/48700]	Loss: 0.6710	LR: 0.020000
Training Epoch: 15 [39936/48700]	Loss: 0.6525	LR: 0.020000
Training Epoch: 15 [40192/48700]	Loss: 0.7355	LR: 0.020000
Training Epoch: 15 [40448/48700]	Loss: 0.7457	LR: 0.020000
Training Epoch: 15 [40704/48700]	Loss: 0.7150	LR: 0.020000
Training Epoch: 15 [40960/48700]	Loss: 0.7374	LR: 0.020000
Training Epoch: 15 [41216/48700]	Loss: 0.7906	LR: 0.020000
Training Epoch: 15 [41472/48700]	Loss: 0.7325	LR: 0.020000
Training Epoch: 15 [41728/48700]	Loss: 0.8212	LR: 0.020000
Training Epoch: 15 [41984/48700]	Loss: 0.8923	LR: 0.020000
Training Epoch: 15 [42240/48700]	Loss: 0.8811	LR: 0.020000
Training Epoch: 15 [42496/48700]	Loss: 0.8870	LR: 0.020000
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Training Epoch: 15 [43008/48700]	Loss: 0.7733	LR: 0.020000
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Training Epoch: 15 [47104/48700]	Loss: 0.7063	LR: 0.020000
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Training Epoch: 15 [47872/48700]	Loss: 0.7314	LR: 0.020000
Training Epoch: 15 [48128/48700]	Loss: 0.6412	LR: 0.020000
Training Epoch: 15 [48384/48700]	Loss: 0.7340	LR: 0.020000
Training Epoch: 15 [48640/48700]	Loss: 0.6683	LR: 0.020000
Training Epoch: 15 [48700/48700]	Loss: 0.8631	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7717, Train Accuracy: 0.7530
Epoch 15 training time consumed: 26.75s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0033, Accuracy: 0.7340, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-15-best.pth
Training Epoch: 16 [256/48700]	Loss: 0.6630	LR: 0.020000
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Training Epoch: 16 [47616/48700]	Loss: 0.6963	LR: 0.020000
Training Epoch: 16 [47872/48700]	Loss: 0.6563	LR: 0.020000
Training Epoch: 16 [48128/48700]	Loss: 0.7036	LR: 0.020000
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Training Epoch: 16 [48700/48700]	Loss: 0.7052	LR: 0.020000
Epoch 16 - Average Train Loss: 0.6942, Train Accuracy: 0.7778
Epoch 16 training time consumed: 26.95s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7406, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-16-best.pth
Training Epoch: 17 [256/48700]	Loss: 0.6621	LR: 0.020000
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Training Epoch: 17 [48700/48700]	Loss: 0.6568	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6669, Train Accuracy: 0.7866
Epoch 17 training time consumed: 27.02s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0033, Accuracy: 0.7421, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-17-best.pth
Training Epoch: 18 [256/48700]	Loss: 0.6822	LR: 0.020000
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Training Epoch: 18 [41472/48700]	Loss: 0.6170	LR: 0.020000
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Training Epoch: 18 [45312/48700]	Loss: 0.5985	LR: 0.020000
Training Epoch: 18 [45568/48700]	Loss: 0.5913	LR: 0.020000
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Training Epoch: 18 [46080/48700]	Loss: 0.6614	LR: 0.020000
Training Epoch: 18 [46336/48700]	Loss: 0.6970	LR: 0.020000
Training Epoch: 18 [46592/48700]	Loss: 0.6215	LR: 0.020000
Training Epoch: 18 [46848/48700]	Loss: 0.5999	LR: 0.020000
Training Epoch: 18 [47104/48700]	Loss: 0.5704	LR: 0.020000
Training Epoch: 18 [47360/48700]	Loss: 0.5937	LR: 0.020000
Training Epoch: 18 [47616/48700]	Loss: 0.7903	LR: 0.020000
Training Epoch: 18 [47872/48700]	Loss: 0.6478	LR: 0.020000
Training Epoch: 18 [48128/48700]	Loss: 0.6517	LR: 0.020000
Training Epoch: 18 [48384/48700]	Loss: 0.6722	LR: 0.020000
Training Epoch: 18 [48640/48700]	Loss: 0.6966	LR: 0.020000
Training Epoch: 18 [48700/48700]	Loss: 0.9168	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6464, Train Accuracy: 0.7935
Epoch 18 training time consumed: 27.32s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0034, Accuracy: 0.7407, Time consumed:0.90s
Training Epoch: 19 [256/48700]	Loss: 0.7095	LR: 0.020000
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Training Epoch: 19 [47104/48700]	Loss: 0.6096	LR: 0.020000
Training Epoch: 19 [47360/48700]	Loss: 0.6826	LR: 0.020000
Training Epoch: 19 [47616/48700]	Loss: 0.5562	LR: 0.020000
Training Epoch: 19 [47872/48700]	Loss: 0.5589	LR: 0.020000
Training Epoch: 19 [48128/48700]	Loss: 0.7062	LR: 0.020000
Training Epoch: 19 [48384/48700]	Loss: 0.5914	LR: 0.020000
Training Epoch: 19 [48640/48700]	Loss: 0.6200	LR: 0.020000
Training Epoch: 19 [48700/48700]	Loss: 0.6296	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6229, Train Accuracy: 0.7998
Epoch 19 training time consumed: 26.94s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0033, Accuracy: 0.7446, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-19-best.pth
Training Epoch: 20 [256/48700]	Loss: 0.6510	LR: 0.020000
Training Epoch: 20 [512/48700]	Loss: 0.5928	LR: 0.020000
Training Epoch: 20 [768/48700]	Loss: 0.6367	LR: 0.020000
Training Epoch: 20 [1024/48700]	Loss: 0.6583	LR: 0.020000
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Training Epoch: 20 [1536/48700]	Loss: 0.7667	LR: 0.020000
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Training Epoch: 20 [16128/48700]	Loss: 0.6225	LR: 0.020000
Training Epoch: 20 [16384/48700]	Loss: 0.6692	LR: 0.020000
Training Epoch: 20 [16640/48700]	Loss: 0.5567	LR: 0.020000
Training Epoch: 20 [16896/48700]	Loss: 0.5991	LR: 0.020000
Training Epoch: 20 [17152/48700]	Loss: 0.5963	LR: 0.020000
Training Epoch: 20 [17408/48700]	Loss: 0.5967	LR: 0.020000
Training Epoch: 20 [17664/48700]	Loss: 0.4440	LR: 0.020000
Training Epoch: 20 [17920/48700]	Loss: 0.6061	LR: 0.020000
Training Epoch: 20 [18176/48700]	Loss: 0.5472	LR: 0.020000
Training Epoch: 20 [18432/48700]	Loss: 0.5770	LR: 0.020000
Training Epoch: 20 [18688/48700]	Loss: 0.6074	LR: 0.020000
Training Epoch: 20 [18944/48700]	Loss: 0.6084	LR: 0.020000
Training Epoch: 20 [19200/48700]	Loss: 0.7157	LR: 0.020000
Training Epoch: 20 [19456/48700]	Loss: 0.5797	LR: 0.020000
Training Epoch: 20 [19712/48700]	Loss: 0.5527	LR: 0.020000
Training Epoch: 20 [19968/48700]	Loss: 0.5758	LR: 0.020000
Training Epoch: 20 [20224/48700]	Loss: 0.6153	LR: 0.020000
Training Epoch: 20 [20480/48700]	Loss: 0.5648	LR: 0.020000
Training Epoch: 20 [20736/48700]	Loss: 0.5052	LR: 0.020000
Training Epoch: 20 [20992/48700]	Loss: 0.6182	LR: 0.020000
Training Epoch: 20 [21248/48700]	Loss: 0.5758	LR: 0.020000
Training Epoch: 20 [21504/48700]	Loss: 0.5607	LR: 0.020000
Training Epoch: 20 [21760/48700]	Loss: 0.5711	LR: 0.020000
Training Epoch: 20 [22016/48700]	Loss: 0.5042	LR: 0.020000
Training Epoch: 20 [22272/48700]	Loss: 0.6626	LR: 0.020000
Training Epoch: 20 [22528/48700]	Loss: 0.5458	LR: 0.020000
Training Epoch: 20 [22784/48700]	Loss: 0.6443	LR: 0.020000
Training Epoch: 20 [23040/48700]	Loss: 0.6240	LR: 0.020000
Training Epoch: 20 [23296/48700]	Loss: 0.5065	LR: 0.020000
Training Epoch: 20 [23552/48700]	Loss: 0.6024	LR: 0.020000
Training Epoch: 20 [23808/48700]	Loss: 0.6066	LR: 0.020000
Training Epoch: 20 [24064/48700]	Loss: 0.5308	LR: 0.020000
Training Epoch: 20 [24320/48700]	Loss: 0.5630	LR: 0.020000
Training Epoch: 20 [24576/48700]	Loss: 0.5759	LR: 0.020000
Training Epoch: 20 [24832/48700]	Loss: 0.4937	LR: 0.020000
Training Epoch: 20 [25088/48700]	Loss: 0.6226	LR: 0.020000
Training Epoch: 20 [25344/48700]	Loss: 0.5878	LR: 0.020000
Training Epoch: 20 [25600/48700]	Loss: 0.5313	LR: 0.020000
Training Epoch: 20 [25856/48700]	Loss: 0.6607	LR: 0.020000
Training Epoch: 20 [26112/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 20 [26368/48700]	Loss: 0.5995	LR: 0.020000
Training Epoch: 20 [26624/48700]	Loss: 0.5348	LR: 0.020000
Training Epoch: 20 [26880/48700]	Loss: 0.6467	LR: 0.020000
Training Epoch: 20 [27136/48700]	Loss: 0.7203	LR: 0.020000
Training Epoch: 20 [27392/48700]	Loss: 0.7171	LR: 0.020000
Training Epoch: 20 [27648/48700]	Loss: 0.5880	LR: 0.020000
Training Epoch: 20 [27904/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 20 [28160/48700]	Loss: 0.5358	LR: 0.020000
Training Epoch: 20 [28416/48700]	Loss: 0.5303	LR: 0.020000
Training Epoch: 20 [28672/48700]	Loss: 0.5740	LR: 0.020000
Training Epoch: 20 [28928/48700]	Loss: 0.6022	LR: 0.020000
Training Epoch: 20 [29184/48700]	Loss: 0.5732	LR: 0.020000
Training Epoch: 20 [29440/48700]	Loss: 0.6744	LR: 0.020000
Training Epoch: 20 [29696/48700]	Loss: 0.5791	LR: 0.020000
Training Epoch: 20 [29952/48700]	Loss: 0.6200	LR: 0.020000
Training Epoch: 20 [30208/48700]	Loss: 0.6691	LR: 0.020000
Training Epoch: 20 [30464/48700]	Loss: 0.4987	LR: 0.020000
Training Epoch: 20 [30720/48700]	Loss: 0.5720	LR: 0.020000
Training Epoch: 20 [30976/48700]	Loss: 0.6912	LR: 0.020000
Training Epoch: 20 [31232/48700]	Loss: 0.5178	LR: 0.020000
Training Epoch: 20 [31488/48700]	Loss: 0.5293	LR: 0.020000
Training Epoch: 20 [31744/48700]	Loss: 0.6519	LR: 0.020000
Training Epoch: 20 [32000/48700]	Loss: 0.7098	LR: 0.020000
Training Epoch: 20 [32256/48700]	Loss: 0.8143	LR: 0.020000
Training Epoch: 20 [32512/48700]	Loss: 0.5372	LR: 0.020000
Training Epoch: 20 [32768/48700]	Loss: 0.5851	LR: 0.020000
Training Epoch: 20 [33024/48700]	Loss: 0.6048	LR: 0.020000
Training Epoch: 20 [33280/48700]	Loss: 0.6227	LR: 0.020000
Training Epoch: 20 [33536/48700]	Loss: 0.5924	LR: 0.020000
Training Epoch: 20 [33792/48700]	Loss: 0.6343	LR: 0.020000
Training Epoch: 20 [34048/48700]	Loss: 0.6210	LR: 0.020000
Training Epoch: 20 [34304/48700]	Loss: 0.7084	LR: 0.020000
Training Epoch: 20 [34560/48700]	Loss: 0.5264	LR: 0.020000
Training Epoch: 20 [34816/48700]	Loss: 0.4993	LR: 0.020000
Training Epoch: 20 [35072/48700]	Loss: 0.6146	LR: 0.020000
Training Epoch: 20 [35328/48700]	Loss: 0.6931	LR: 0.020000
Training Epoch: 20 [35584/48700]	Loss: 0.6725	LR: 0.020000
Training Epoch: 20 [35840/48700]	Loss: 0.6942	LR: 0.020000
Training Epoch: 20 [36096/48700]	Loss: 0.5956	LR: 0.020000
Training Epoch: 20 [36352/48700]	Loss: 0.7273	LR: 0.020000
Training Epoch: 20 [36608/48700]	Loss: 0.6267	LR: 0.020000
Training Epoch: 20 [36864/48700]	Loss: 0.6255	LR: 0.020000
Training Epoch: 20 [37120/48700]	Loss: 0.5523	LR: 0.020000
Training Epoch: 20 [37376/48700]	Loss: 0.5335	LR: 0.020000
Training Epoch: 20 [37632/48700]	Loss: 0.6686	LR: 0.020000
Training Epoch: 20 [37888/48700]	Loss: 0.6297	LR: 0.020000
Training Epoch: 20 [38144/48700]	Loss: 0.6223	LR: 0.020000
Training Epoch: 20 [38400/48700]	Loss: 0.6061	LR: 0.020000
Training Epoch: 20 [38656/48700]	Loss: 0.5503	LR: 0.020000
Training Epoch: 20 [38912/48700]	Loss: 0.5524	LR: 0.020000
Training Epoch: 20 [39168/48700]	Loss: 0.8124	LR: 0.020000
Training Epoch: 20 [39424/48700]	Loss: 0.6205	LR: 0.020000
Training Epoch: 20 [39680/48700]	Loss: 0.7026	LR: 0.020000
Training Epoch: 20 [39936/48700]	Loss: 0.6075	LR: 0.020000
Training Epoch: 20 [40192/48700]	Loss: 0.5928	LR: 0.020000
Training Epoch: 20 [40448/48700]	Loss: 0.5625	LR: 0.020000
Training Epoch: 20 [40704/48700]	Loss: 0.6210	LR: 0.020000
Training Epoch: 20 [40960/48700]	Loss: 0.6737	LR: 0.020000
Training Epoch: 20 [41216/48700]	Loss: 0.7804	LR: 0.020000
Training Epoch: 20 [41472/48700]	Loss: 0.5387	LR: 0.020000
Training Epoch: 20 [41728/48700]	Loss: 0.6127	LR: 0.020000
Training Epoch: 20 [41984/48700]	Loss: 0.7197	LR: 0.020000
Training Epoch: 20 [42240/48700]	Loss: 0.6301	LR: 0.020000
Training Epoch: 20 [42496/48700]	Loss: 0.5452	LR: 0.020000
Training Epoch: 20 [42752/48700]	Loss: 0.6935	LR: 0.020000
Training Epoch: 20 [43008/48700]	Loss: 0.5474	LR: 0.020000
Training Epoch: 20 [43264/48700]	Loss: 0.6624	LR: 0.020000
Training Epoch: 20 [43520/48700]	Loss: 0.5508	LR: 0.020000
Training Epoch: 20 [43776/48700]	Loss: 0.6047	LR: 0.020000
Training Epoch: 20 [44032/48700]	Loss: 0.5337	LR: 0.020000
Training Epoch: 20 [44288/48700]	Loss: 0.7518	LR: 0.020000
Training Epoch: 20 [44544/48700]	Loss: 0.5693	LR: 0.020000
Training Epoch: 20 [44800/48700]	Loss: 0.5622	LR: 0.020000
Training Epoch: 20 [45056/48700]	Loss: 0.6598	LR: 0.020000
Training Epoch: 20 [45312/48700]	Loss: 0.5967	LR: 0.020000
Training Epoch: 20 [45568/48700]	Loss: 0.5635	LR: 0.020000
Training Epoch: 20 [45824/48700]	Loss: 0.6007	LR: 0.020000
Training Epoch: 20 [46080/48700]	Loss: 0.5978	LR: 0.020000
Training Epoch: 20 [46336/48700]	Loss: 0.7562	LR: 0.020000
Training Epoch: 20 [46592/48700]	Loss: 0.6598	LR: 0.020000
Training Epoch: 20 [46848/48700]	Loss: 0.5270	LR: 0.020000
Training Epoch: 20 [47104/48700]	Loss: 0.6554	LR: 0.020000
Training Epoch: 20 [47360/48700]	Loss: 0.5726	LR: 0.020000
Training Epoch: 20 [47616/48700]	Loss: 0.6804	LR: 0.020000
Training Epoch: 20 [47872/48700]	Loss: 0.5688	LR: 0.020000
Training Epoch: 20 [48128/48700]	Loss: 0.6012	LR: 0.020000
Training Epoch: 20 [48384/48700]	Loss: 0.6505	LR: 0.020000
Training Epoch: 20 [48640/48700]	Loss: 0.7231	LR: 0.020000
Training Epoch: 20 [48700/48700]	Loss: 0.5665	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6013, Train Accuracy: 0.8061
Epoch 20 training time consumed: 26.86s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0033, Accuracy: 0.7408, Time consumed:0.93s
Training Epoch: 21 [256/48700]	Loss: 0.5873	LR: 0.020000
Training Epoch: 21 [512/48700]	Loss: 0.5840	LR: 0.020000
Training Epoch: 21 [768/48700]	Loss: 0.5328	LR: 0.020000
Training Epoch: 21 [1024/48700]	Loss: 0.5731	LR: 0.020000
Training Epoch: 21 [1280/48700]	Loss: 0.6463	LR: 0.020000
Training Epoch: 21 [1536/48700]	Loss: 0.5831	LR: 0.020000
Training Epoch: 21 [1792/48700]	Loss: 0.5710	LR: 0.020000
Training Epoch: 21 [2048/48700]	Loss: 0.6193	LR: 0.020000
Training Epoch: 21 [2304/48700]	Loss: 0.6019	LR: 0.020000
Training Epoch: 21 [2560/48700]	Loss: 0.4810	LR: 0.020000
Training Epoch: 21 [2816/48700]	Loss: 0.4852	LR: 0.020000
Training Epoch: 21 [3072/48700]	Loss: 0.5319	LR: 0.020000
Training Epoch: 21 [3328/48700]	Loss: 0.5561	LR: 0.020000
Training Epoch: 21 [3584/48700]	Loss: 0.6126	LR: 0.020000
Training Epoch: 21 [3840/48700]	Loss: 0.5362	LR: 0.020000
Training Epoch: 21 [4096/48700]	Loss: 0.5866	LR: 0.020000
Training Epoch: 21 [4352/48700]	Loss: 0.5519	LR: 0.020000
Training Epoch: 21 [4608/48700]	Loss: 0.4587	LR: 0.020000
Training Epoch: 21 [4864/48700]	Loss: 0.6796	LR: 0.020000
Training Epoch: 21 [5120/48700]	Loss: 0.5596	LR: 0.020000
Training Epoch: 21 [5376/48700]	Loss: 0.5912	LR: 0.020000
Training Epoch: 21 [5632/48700]	Loss: 0.6744	LR: 0.020000
Training Epoch: 21 [5888/48700]	Loss: 0.5982	LR: 0.020000
Training Epoch: 21 [6144/48700]	Loss: 0.5970	LR: 0.020000
Training Epoch: 21 [6400/48700]	Loss: 0.6045	LR: 0.020000
Training Epoch: 21 [6656/48700]	Loss: 0.6360	LR: 0.020000
Training Epoch: 21 [6912/48700]	Loss: 0.6116	LR: 0.020000
Training Epoch: 21 [7168/48700]	Loss: 0.5171	LR: 0.020000
Training Epoch: 21 [7424/48700]	Loss: 0.5780	LR: 0.020000
Training Epoch: 21 [7680/48700]	Loss: 0.4746	LR: 0.020000
Training Epoch: 21 [7936/48700]	Loss: 0.6891	LR: 0.020000
Training Epoch: 21 [8192/48700]	Loss: 0.5551	LR: 0.020000
Training Epoch: 21 [8448/48700]	Loss: 0.5505	LR: 0.020000
Training Epoch: 21 [8704/48700]	Loss: 0.6296	LR: 0.020000
Training Epoch: 21 [8960/48700]	Loss: 0.6163	LR: 0.020000
Training Epoch: 21 [9216/48700]	Loss: 0.8076	LR: 0.020000
Training Epoch: 21 [9472/48700]	Loss: 0.6291	LR: 0.020000
Training Epoch: 21 [9728/48700]	Loss: 0.7217	LR: 0.020000
Training Epoch: 21 [9984/48700]	Loss: 0.5044	LR: 0.020000
Training Epoch: 21 [10240/48700]	Loss: 0.5843	LR: 0.020000
Training Epoch: 21 [10496/48700]	Loss: 0.5867	LR: 0.020000
Training Epoch: 21 [10752/48700]	Loss: 0.5245	LR: 0.020000
Training Epoch: 21 [11008/48700]	Loss: 0.6415	LR: 0.020000
Training Epoch: 21 [11264/48700]	Loss: 0.7613	LR: 0.020000
Training Epoch: 21 [11520/48700]	Loss: 0.4900	LR: 0.020000
Training Epoch: 21 [11776/48700]	Loss: 0.5343	LR: 0.020000
Training Epoch: 21 [12032/48700]	Loss: 0.5538	LR: 0.020000
Training Epoch: 21 [12288/48700]	Loss: 0.6286	LR: 0.020000
Training Epoch: 21 [12544/48700]	Loss: 0.4990	LR: 0.020000
Training Epoch: 21 [12800/48700]	Loss: 0.5393	LR: 0.020000
Training Epoch: 21 [13056/48700]	Loss: 0.6323	LR: 0.020000
Training Epoch: 21 [13312/48700]	Loss: 0.5512	LR: 0.020000
Training Epoch: 21 [13568/48700]	Loss: 0.7435	LR: 0.020000
Training Epoch: 21 [13824/48700]	Loss: 0.5435	LR: 0.020000
Training Epoch: 21 [14080/48700]	Loss: 0.4793	LR: 0.020000
Training Epoch: 21 [14336/48700]	Loss: 0.6216	LR: 0.020000
Training Epoch: 21 [14592/48700]	Loss: 0.6698	LR: 0.020000
Training Epoch: 21 [14848/48700]	Loss: 0.6335	LR: 0.020000
Training Epoch: 21 [15104/48700]	Loss: 0.5622	LR: 0.020000
Training Epoch: 21 [15360/48700]	Loss: 0.5787	LR: 0.020000
Training Epoch: 21 [15616/48700]	Loss: 0.6428	LR: 0.020000
Training Epoch: 21 [15872/48700]	Loss: 0.5444	LR: 0.020000
Training Epoch: 21 [16128/48700]	Loss: 0.6591	LR: 0.020000
Training Epoch: 21 [16384/48700]	Loss: 0.5243	LR: 0.020000
Training Epoch: 21 [16640/48700]	Loss: 0.5600	LR: 0.020000
Training Epoch: 21 [16896/48700]	Loss: 0.5587	LR: 0.020000
Training Epoch: 21 [17152/48700]	Loss: 0.5815	LR: 0.020000
Training Epoch: 21 [17408/48700]	Loss: 0.6122	LR: 0.020000
Training Epoch: 21 [17664/48700]	Loss: 0.5651	LR: 0.020000
Training Epoch: 21 [17920/48700]	Loss: 0.5756	LR: 0.020000
Training Epoch: 21 [18176/48700]	Loss: 0.7224	LR: 0.020000
Training Epoch: 21 [18432/48700]	Loss: 0.6015	LR: 0.020000
Training Epoch: 21 [18688/48700]	Loss: 0.5607	LR: 0.020000
Training Epoch: 21 [18944/48700]	Loss: 0.5974	LR: 0.020000
Training Epoch: 21 [19200/48700]	Loss: 0.5823	LR: 0.020000
Training Epoch: 21 [19456/48700]	Loss: 0.6332	LR: 0.020000
Training Epoch: 21 [19712/48700]	Loss: 0.6203	LR: 0.020000
Training Epoch: 21 [19968/48700]	Loss: 0.5731	LR: 0.020000
Training Epoch: 21 [20224/48700]	Loss: 0.6297	LR: 0.020000
Training Epoch: 21 [20480/48700]	Loss: 0.5778	LR: 0.020000
Training Epoch: 21 [20736/48700]	Loss: 0.5840	LR: 0.020000
Training Epoch: 21 [20992/48700]	Loss: 0.6078	LR: 0.020000
Training Epoch: 21 [21248/48700]	Loss: 0.5829	LR: 0.020000
Training Epoch: 21 [21504/48700]	Loss: 0.6194	LR: 0.020000
Training Epoch: 21 [21760/48700]	Loss: 0.6053	LR: 0.020000
Training Epoch: 21 [22016/48700]	Loss: 0.6637	LR: 0.020000
Training Epoch: 21 [22272/48700]	Loss: 0.6366	LR: 0.020000
Training Epoch: 21 [22528/48700]	Loss: 0.6083	LR: 0.020000
Training Epoch: 21 [22784/48700]	Loss: 0.6484	LR: 0.020000
Training Epoch: 21 [23040/48700]	Loss: 0.5533	LR: 0.020000
Training Epoch: 21 [23296/48700]	Loss: 0.5700	LR: 0.020000
Training Epoch: 21 [23552/48700]	Loss: 0.6666	LR: 0.020000
Training Epoch: 21 [23808/48700]	Loss: 0.5589	LR: 0.020000
Training Epoch: 21 [24064/48700]	Loss: 0.5623	LR: 0.020000
Training Epoch: 21 [24320/48700]	Loss: 0.5136	LR: 0.020000
Training Epoch: 21 [24576/48700]	Loss: 0.6910	LR: 0.020000
Training Epoch: 21 [24832/48700]	Loss: 0.6096	LR: 0.020000
Training Epoch: 21 [25088/48700]	Loss: 0.5431	LR: 0.020000
Training Epoch: 21 [25344/48700]	Loss: 0.5770	LR: 0.020000
Training Epoch: 21 [25600/48700]	Loss: 0.6262	LR: 0.020000
Training Epoch: 21 [25856/48700]	Loss: 0.6684	LR: 0.020000
Training Epoch: 21 [26112/48700]	Loss: 0.5529	LR: 0.020000
Training Epoch: 21 [26368/48700]	Loss: 0.6359	LR: 0.020000
Training Epoch: 21 [26624/48700]	Loss: 0.6176	LR: 0.020000
Training Epoch: 21 [26880/48700]	Loss: 0.5913	LR: 0.020000
Training Epoch: 21 [27136/48700]	Loss: 0.6466	LR: 0.020000
Training Epoch: 21 [27392/48700]	Loss: 0.5016	LR: 0.020000
Training Epoch: 21 [27648/48700]	Loss: 0.5582	LR: 0.020000
Training Epoch: 21 [27904/48700]	Loss: 0.5835	LR: 0.020000
Training Epoch: 21 [28160/48700]	Loss: 0.6552	LR: 0.020000
Training Epoch: 21 [28416/48700]	Loss: 0.5379	LR: 0.020000
Training Epoch: 21 [28672/48700]	Loss: 0.6371	LR: 0.020000
Training Epoch: 21 [28928/48700]	Loss: 0.6868	LR: 0.020000
Training Epoch: 21 [29184/48700]	Loss: 0.5910	LR: 0.020000
Training Epoch: 21 [29440/48700]	Loss: 0.6632	LR: 0.020000
Training Epoch: 21 [29696/48700]	Loss: 0.6315	LR: 0.020000
Training Epoch: 21 [29952/48700]	Loss: 0.6159	LR: 0.020000
Training Epoch: 21 [30208/48700]	Loss: 0.6610	LR: 0.020000
Training Epoch: 21 [30464/48700]	Loss: 0.5740	LR: 0.020000
Training Epoch: 21 [30720/48700]	Loss: 0.4967	LR: 0.020000
Training Epoch: 21 [30976/48700]	Loss: 0.5313	LR: 0.020000
Training Epoch: 21 [31232/48700]	Loss: 0.6046	LR: 0.020000
Training Epoch: 21 [31488/48700]	Loss: 0.5649	LR: 0.020000
Training Epoch: 21 [31744/48700]	Loss: 0.5460	LR: 0.020000
Training Epoch: 21 [32000/48700]	Loss: 0.6004	LR: 0.020000
Training Epoch: 21 [32256/48700]	Loss: 0.5619	LR: 0.020000
Training Epoch: 21 [32512/48700]	Loss: 0.5528	LR: 0.020000
Training Epoch: 21 [32768/48700]	Loss: 0.5757	LR: 0.020000
Training Epoch: 21 [33024/48700]	Loss: 0.6799	LR: 0.020000
Training Epoch: 21 [33280/48700]	Loss: 0.5267	LR: 0.020000
Training Epoch: 21 [33536/48700]	Loss: 0.6485	LR: 0.020000
Training Epoch: 21 [33792/48700]	Loss: 0.6408	LR: 0.020000
Training Epoch: 21 [34048/48700]	Loss: 0.5335	LR: 0.020000
Training Epoch: 21 [34304/48700]	Loss: 0.6097	LR: 0.020000
Training Epoch: 21 [34560/48700]	Loss: 0.6177	LR: 0.020000
Training Epoch: 21 [34816/48700]	Loss: 0.6064	LR: 0.020000
Training Epoch: 21 [35072/48700]	Loss: 0.5403	LR: 0.020000
Training Epoch: 21 [35328/48700]	Loss: 0.5371	LR: 0.020000
Training Epoch: 21 [35584/48700]	Loss: 0.5404	LR: 0.020000
Training Epoch: 21 [35840/48700]	Loss: 0.6035	LR: 0.020000
Training Epoch: 21 [36096/48700]	Loss: 0.5094	LR: 0.020000
Training Epoch: 21 [36352/48700]	Loss: 0.5469	LR: 0.020000
Training Epoch: 21 [36608/48700]	Loss: 0.5417	LR: 0.020000
Training Epoch: 21 [36864/48700]	Loss: 0.5983	LR: 0.020000
Training Epoch: 21 [37120/48700]	Loss: 0.5724	LR: 0.020000
Training Epoch: 21 [37376/48700]	Loss: 0.6274	LR: 0.020000
Training Epoch: 21 [37632/48700]	Loss: 0.5743	LR: 0.020000
Training Epoch: 21 [37888/48700]	Loss: 0.6075	LR: 0.020000
Training Epoch: 21 [38144/48700]	Loss: 0.6917	LR: 0.020000
Training Epoch: 21 [38400/48700]	Loss: 0.6291	LR: 0.020000
Training Epoch: 21 [38656/48700]	Loss: 0.5853	LR: 0.020000
Training Epoch: 21 [38912/48700]	Loss: 0.5523	LR: 0.020000
Training Epoch: 21 [39168/48700]	Loss: 0.5715	LR: 0.020000
Training Epoch: 21 [39424/48700]	Loss: 0.5688	LR: 0.020000
Training Epoch: 21 [39680/48700]	Loss: 0.5206	LR: 0.020000
Training Epoch: 21 [39936/48700]	Loss: 0.5032	LR: 0.020000
Training Epoch: 21 [40192/48700]	Loss: 0.6184	LR: 0.020000
Training Epoch: 21 [40448/48700]	Loss: 0.5865	LR: 0.020000
Training Epoch: 21 [40704/48700]	Loss: 0.6511	LR: 0.020000
Training Epoch: 21 [40960/48700]	Loss: 0.5251	LR: 0.020000
Training Epoch: 21 [41216/48700]	Loss: 0.6639	LR: 0.020000
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Training Epoch: 21 [46336/48700]	Loss: 0.5525	LR: 0.020000
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Training Epoch: 21 [47104/48700]	Loss: 0.6331	LR: 0.020000
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Training Epoch: 21 [48700/48700]	Loss: 0.6769	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5944, Train Accuracy: 0.8079
Epoch 21 training time consumed: 26.64s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0036, Accuracy: 0.7323, Time consumed:0.90s
Training Epoch: 22 [256/48700]	Loss: 0.5197	LR: 0.020000
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Training Epoch: 22 [48640/48700]	Loss: 0.5299	LR: 0.020000
Training Epoch: 22 [48700/48700]	Loss: 0.5956	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5813, Train Accuracy: 0.8121
Epoch 22 training time consumed: 27.02s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0033, Accuracy: 0.7502, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-22-best.pth
Training Epoch: 23 [256/48700]	Loss: 0.5915	LR: 0.020000
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Training Epoch: 23 [15616/48700]	Loss: 0.4743	LR: 0.020000
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Training Epoch: 23 [16128/48700]	Loss: 0.6089	LR: 0.020000
Training Epoch: 23 [16384/48700]	Loss: 0.6366	LR: 0.020000
Training Epoch: 23 [16640/48700]	Loss: 0.4078	LR: 0.020000
Training Epoch: 23 [16896/48700]	Loss: 0.5569	LR: 0.020000
Training Epoch: 23 [17152/48700]	Loss: 0.5893	LR: 0.020000
Training Epoch: 23 [17408/48700]	Loss: 0.7163	LR: 0.020000
Training Epoch: 23 [17664/48700]	Loss: 0.4501	LR: 0.020000
Training Epoch: 23 [17920/48700]	Loss: 0.5845	LR: 0.020000
Training Epoch: 23 [18176/48700]	Loss: 0.5733	LR: 0.020000
Training Epoch: 23 [18432/48700]	Loss: 0.6047	LR: 0.020000
Training Epoch: 23 [18688/48700]	Loss: 0.5391	LR: 0.020000
Training Epoch: 23 [18944/48700]	Loss: 0.5696	LR: 0.020000
Training Epoch: 23 [19200/48700]	Loss: 0.6340	LR: 0.020000
Training Epoch: 23 [19456/48700]	Loss: 0.5929	LR: 0.020000
Training Epoch: 23 [19712/48700]	Loss: 0.5476	LR: 0.020000
Training Epoch: 23 [19968/48700]	Loss: 0.5802	LR: 0.020000
Training Epoch: 23 [20224/48700]	Loss: 0.5497	LR: 0.020000
Training Epoch: 23 [20480/48700]	Loss: 0.4763	LR: 0.020000
Training Epoch: 23 [20736/48700]	Loss: 0.5471	LR: 0.020000
Training Epoch: 23 [20992/48700]	Loss: 0.5031	LR: 0.020000
Training Epoch: 23 [21248/48700]	Loss: 0.6202	LR: 0.020000
Training Epoch: 23 [21504/48700]	Loss: 0.6270	LR: 0.020000
Training Epoch: 23 [21760/48700]	Loss: 0.5134	LR: 0.020000
Training Epoch: 23 [22016/48700]	Loss: 0.4848	LR: 0.020000
Training Epoch: 23 [22272/48700]	Loss: 0.5132	LR: 0.020000
Training Epoch: 23 [22528/48700]	Loss: 0.5528	LR: 0.020000
Training Epoch: 23 [22784/48700]	Loss: 0.4856	LR: 0.020000
Training Epoch: 23 [23040/48700]	Loss: 0.6673	LR: 0.020000
Training Epoch: 23 [23296/48700]	Loss: 0.5576	LR: 0.020000
Training Epoch: 23 [23552/48700]	Loss: 0.4977	LR: 0.020000
Training Epoch: 23 [23808/48700]	Loss: 0.5115	LR: 0.020000
Training Epoch: 23 [24064/48700]	Loss: 0.5187	LR: 0.020000
Training Epoch: 23 [24320/48700]	Loss: 0.4934	LR: 0.020000
Training Epoch: 23 [24576/48700]	Loss: 0.5942	LR: 0.020000
Training Epoch: 23 [24832/48700]	Loss: 0.6304	LR: 0.020000
Training Epoch: 23 [25088/48700]	Loss: 0.6183	LR: 0.020000
Training Epoch: 23 [25344/48700]	Loss: 0.5651	LR: 0.020000
Training Epoch: 23 [25600/48700]	Loss: 0.5238	LR: 0.020000
Training Epoch: 23 [25856/48700]	Loss: 0.6464	LR: 0.020000
Training Epoch: 23 [26112/48700]	Loss: 0.6487	LR: 0.020000
Training Epoch: 23 [26368/48700]	Loss: 0.4591	LR: 0.020000
Training Epoch: 23 [26624/48700]	Loss: 0.5684	LR: 0.020000
Training Epoch: 23 [26880/48700]	Loss: 0.4978	LR: 0.020000
Training Epoch: 23 [27136/48700]	Loss: 0.5934	LR: 0.020000
Training Epoch: 23 [27392/48700]	Loss: 0.7072	LR: 0.020000
Training Epoch: 23 [27648/48700]	Loss: 0.5879	LR: 0.020000
Training Epoch: 23 [27904/48700]	Loss: 0.5051	LR: 0.020000
Training Epoch: 23 [28160/48700]	Loss: 0.5657	LR: 0.020000
Training Epoch: 23 [28416/48700]	Loss: 0.5746	LR: 0.020000
Training Epoch: 23 [28672/48700]	Loss: 0.5033	LR: 0.020000
Training Epoch: 23 [28928/48700]	Loss: 0.5430	LR: 0.020000
Training Epoch: 23 [29184/48700]	Loss: 0.5997	LR: 0.020000
Training Epoch: 23 [29440/48700]	Loss: 0.5231	LR: 0.020000
Training Epoch: 23 [29696/48700]	Loss: 0.5516	LR: 0.020000
Training Epoch: 23 [29952/48700]	Loss: 0.5182	LR: 0.020000
Training Epoch: 23 [30208/48700]	Loss: 0.5037	LR: 0.020000
Training Epoch: 23 [30464/48700]	Loss: 0.6845	LR: 0.020000
Training Epoch: 23 [30720/48700]	Loss: 0.4858	LR: 0.020000
Training Epoch: 23 [30976/48700]	Loss: 0.6047	LR: 0.020000
Training Epoch: 23 [31232/48700]	Loss: 0.5299	LR: 0.020000
Training Epoch: 23 [31488/48700]	Loss: 0.4916	LR: 0.020000
Training Epoch: 23 [31744/48700]	Loss: 0.5341	LR: 0.020000
Training Epoch: 23 [32000/48700]	Loss: 0.5488	LR: 0.020000
Training Epoch: 23 [32256/48700]	Loss: 0.5265	LR: 0.020000
Training Epoch: 23 [32512/48700]	Loss: 0.5567	LR: 0.020000
Training Epoch: 23 [32768/48700]	Loss: 0.5440	LR: 0.020000
Training Epoch: 23 [33024/48700]	Loss: 0.6197	LR: 0.020000
Training Epoch: 23 [33280/48700]	Loss: 0.5052	LR: 0.020000
Training Epoch: 23 [33536/48700]	Loss: 0.5903	LR: 0.020000
Training Epoch: 23 [33792/48700]	Loss: 0.5794	LR: 0.020000
Training Epoch: 23 [34048/48700]	Loss: 0.5803	LR: 0.020000
Training Epoch: 23 [34304/48700]	Loss: 0.4631	LR: 0.020000
Training Epoch: 23 [34560/48700]	Loss: 0.5793	LR: 0.020000
Training Epoch: 23 [34816/48700]	Loss: 0.6745	LR: 0.020000
Training Epoch: 23 [35072/48700]	Loss: 0.5780	LR: 0.020000
Training Epoch: 23 [35328/48700]	Loss: 0.5415	LR: 0.020000
Training Epoch: 23 [35584/48700]	Loss: 0.5273	LR: 0.020000
Training Epoch: 23 [35840/48700]	Loss: 0.6029	LR: 0.020000
Training Epoch: 23 [36096/48700]	Loss: 0.6134	LR: 0.020000
Training Epoch: 23 [36352/48700]	Loss: 0.5260	LR: 0.020000
Training Epoch: 23 [36608/48700]	Loss: 0.5273	LR: 0.020000
Training Epoch: 23 [36864/48700]	Loss: 0.5431	LR: 0.020000
Training Epoch: 23 [37120/48700]	Loss: 0.4305	LR: 0.020000
Training Epoch: 23 [37376/48700]	Loss: 0.6538	LR: 0.020000
Training Epoch: 23 [37632/48700]	Loss: 0.6259	LR: 0.020000
Training Epoch: 23 [37888/48700]	Loss: 0.5978	LR: 0.020000
Training Epoch: 23 [38144/48700]	Loss: 0.6167	LR: 0.020000
Training Epoch: 23 [38400/48700]	Loss: 0.5585	LR: 0.020000
Training Epoch: 23 [38656/48700]	Loss: 0.5580	LR: 0.020000
Training Epoch: 23 [38912/48700]	Loss: 0.5333	LR: 0.020000
Training Epoch: 23 [39168/48700]	Loss: 0.5917	LR: 0.020000
Training Epoch: 23 [39424/48700]	Loss: 0.4995	LR: 0.020000
Training Epoch: 23 [39680/48700]	Loss: 0.6334	LR: 0.020000
Training Epoch: 23 [39936/48700]	Loss: 0.6088	LR: 0.020000
Training Epoch: 23 [40192/48700]	Loss: 0.5412	LR: 0.020000
Training Epoch: 23 [40448/48700]	Loss: 0.5811	LR: 0.020000
Training Epoch: 23 [40704/48700]	Loss: 0.5319	LR: 0.020000
Training Epoch: 23 [40960/48700]	Loss: 0.6335	LR: 0.020000
Training Epoch: 23 [41216/48700]	Loss: 0.5218	LR: 0.020000
Training Epoch: 23 [41472/48700]	Loss: 0.5369	LR: 0.020000
Training Epoch: 23 [41728/48700]	Loss: 0.5474	LR: 0.020000
Training Epoch: 23 [41984/48700]	Loss: 0.4392	LR: 0.020000
Training Epoch: 23 [42240/48700]	Loss: 0.5161	LR: 0.020000
Training Epoch: 23 [42496/48700]	Loss: 0.6251	LR: 0.020000
Training Epoch: 23 [42752/48700]	Loss: 0.4848	LR: 0.020000
Training Epoch: 23 [43008/48700]	Loss: 0.6200	LR: 0.020000
Training Epoch: 23 [43264/48700]	Loss: 0.6007	LR: 0.020000
Training Epoch: 23 [43520/48700]	Loss: 0.6233	LR: 0.020000
Training Epoch: 23 [43776/48700]	Loss: 0.5798	LR: 0.020000
Training Epoch: 23 [44032/48700]	Loss: 0.5897	LR: 0.020000
Training Epoch: 23 [44288/48700]	Loss: 0.6611	LR: 0.020000
Training Epoch: 23 [44544/48700]	Loss: 0.4782	LR: 0.020000
Training Epoch: 23 [44800/48700]	Loss: 0.6287	LR: 0.020000
Training Epoch: 23 [45056/48700]	Loss: 0.5758	LR: 0.020000
Training Epoch: 23 [45312/48700]	Loss: 0.6212	LR: 0.020000
Training Epoch: 23 [45568/48700]	Loss: 0.5738	LR: 0.020000
Training Epoch: 23 [45824/48700]	Loss: 0.5872	LR: 0.020000
Training Epoch: 23 [46080/48700]	Loss: 0.5695	LR: 0.020000
Training Epoch: 23 [46336/48700]	Loss: 0.5060	LR: 0.020000
Training Epoch: 23 [46592/48700]	Loss: 0.7163	LR: 0.020000
Training Epoch: 23 [46848/48700]	Loss: 0.5717	LR: 0.020000
Training Epoch: 23 [47104/48700]	Loss: 0.5518	LR: 0.020000
Training Epoch: 23 [47360/48700]	Loss: 0.5004	LR: 0.020000
Training Epoch: 23 [47616/48700]	Loss: 0.6818	LR: 0.020000
Training Epoch: 23 [47872/48700]	Loss: 0.5660	LR: 0.020000
Training Epoch: 23 [48128/48700]	Loss: 0.5776	LR: 0.020000
Training Epoch: 23 [48384/48700]	Loss: 0.6227	LR: 0.020000
Training Epoch: 23 [48640/48700]	Loss: 0.5586	LR: 0.020000
Training Epoch: 23 [48700/48700]	Loss: 0.4017	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5592, Train Accuracy: 0.8201
Epoch 23 training time consumed: 27.01s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0036, Accuracy: 0.7282, Time consumed:0.92s
Training Epoch: 24 [256/48700]	Loss: 0.5585	LR: 0.020000
Training Epoch: 24 [512/48700]	Loss: 0.5605	LR: 0.020000
Training Epoch: 24 [768/48700]	Loss: 0.5486	LR: 0.020000
Training Epoch: 24 [1024/48700]	Loss: 0.4666	LR: 0.020000
Training Epoch: 24 [1280/48700]	Loss: 0.4956	LR: 0.020000
Training Epoch: 24 [1536/48700]	Loss: 0.4660	LR: 0.020000
Training Epoch: 24 [1792/48700]	Loss: 0.5569	LR: 0.020000
Training Epoch: 24 [2048/48700]	Loss: 0.5174	LR: 0.020000
Training Epoch: 24 [2304/48700]	Loss: 0.5537	LR: 0.020000
Training Epoch: 24 [2560/48700]	Loss: 0.6143	LR: 0.020000
Training Epoch: 24 [2816/48700]	Loss: 0.5994	LR: 0.020000
Training Epoch: 24 [3072/48700]	Loss: 0.5089	LR: 0.020000
Training Epoch: 24 [3328/48700]	Loss: 0.5143	LR: 0.020000
Training Epoch: 24 [3584/48700]	Loss: 0.4504	LR: 0.020000
Training Epoch: 24 [3840/48700]	Loss: 0.4809	LR: 0.020000
Training Epoch: 24 [4096/48700]	Loss: 0.6367	LR: 0.020000
Training Epoch: 24 [4352/48700]	Loss: 0.6576	LR: 0.020000
Training Epoch: 24 [4608/48700]	Loss: 0.5703	LR: 0.020000
Training Epoch: 24 [4864/48700]	Loss: 0.5006	LR: 0.020000
Training Epoch: 24 [5120/48700]	Loss: 0.5580	LR: 0.020000
Training Epoch: 24 [5376/48700]	Loss: 0.5027	LR: 0.020000
Training Epoch: 24 [5632/48700]	Loss: 0.5405	LR: 0.020000
Training Epoch: 24 [5888/48700]	Loss: 0.6312	LR: 0.020000
Training Epoch: 24 [6144/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 24 [6400/48700]	Loss: 0.5081	LR: 0.020000
Training Epoch: 24 [6656/48700]	Loss: 0.4809	LR: 0.020000
Training Epoch: 24 [6912/48700]	Loss: 0.6346	LR: 0.020000
Training Epoch: 24 [7168/48700]	Loss: 0.4354	LR: 0.020000
Training Epoch: 24 [7424/48700]	Loss: 0.5799	LR: 0.020000
Training Epoch: 24 [7680/48700]	Loss: 0.5277	LR: 0.020000
Training Epoch: 24 [7936/48700]	Loss: 0.4739	LR: 0.020000
Training Epoch: 24 [8192/48700]	Loss: 0.4923	LR: 0.020000
Training Epoch: 24 [8448/48700]	Loss: 0.5818	LR: 0.020000
Training Epoch: 24 [8704/48700]	Loss: 0.5096	LR: 0.020000
Training Epoch: 24 [8960/48700]	Loss: 0.5199	LR: 0.020000
Training Epoch: 24 [9216/48700]	Loss: 0.4934	LR: 0.020000
Training Epoch: 24 [9472/48700]	Loss: 0.4816	LR: 0.020000
Training Epoch: 24 [9728/48700]	Loss: 0.5900	LR: 0.020000
Training Epoch: 24 [9984/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 24 [10240/48700]	Loss: 0.5957	LR: 0.020000
Training Epoch: 24 [10496/48700]	Loss: 0.5250	LR: 0.020000
Training Epoch: 24 [10752/48700]	Loss: 0.5017	LR: 0.020000
Training Epoch: 24 [11008/48700]	Loss: 0.5081	LR: 0.020000
Training Epoch: 24 [11264/48700]	Loss: 0.5922	LR: 0.020000
Training Epoch: 24 [11520/48700]	Loss: 0.4438	LR: 0.020000
Training Epoch: 24 [11776/48700]	Loss: 0.6534	LR: 0.020000
Training Epoch: 24 [12032/48700]	Loss: 0.5101	LR: 0.020000
Training Epoch: 24 [12288/48700]	Loss: 0.6486	LR: 0.020000
Training Epoch: 24 [12544/48700]	Loss: 0.5844	LR: 0.020000
Training Epoch: 24 [12800/48700]	Loss: 0.5528	LR: 0.020000
Training Epoch: 24 [13056/48700]	Loss: 0.4076	LR: 0.020000
Training Epoch: 24 [13312/48700]	Loss: 0.5984	LR: 0.020000
Training Epoch: 24 [13568/48700]	Loss: 0.5103	LR: 0.020000
Training Epoch: 24 [13824/48700]	Loss: 0.6363	LR: 0.020000
Training Epoch: 24 [14080/48700]	Loss: 0.5697	LR: 0.020000
Training Epoch: 24 [14336/48700]	Loss: 0.6663	LR: 0.020000
Training Epoch: 24 [14592/48700]	Loss: 0.6431	LR: 0.020000
Training Epoch: 24 [14848/48700]	Loss: 0.5459	LR: 0.020000
Training Epoch: 24 [15104/48700]	Loss: 0.6392	LR: 0.020000
Training Epoch: 24 [15360/48700]	Loss: 0.4931	LR: 0.020000
Training Epoch: 24 [15616/48700]	Loss: 0.6346	LR: 0.020000
Training Epoch: 24 [15872/48700]	Loss: 0.5287	LR: 0.020000
Training Epoch: 24 [16128/48700]	Loss: 0.5988	LR: 0.020000
Training Epoch: 24 [16384/48700]	Loss: 0.6228	LR: 0.020000
Training Epoch: 24 [16640/48700]	Loss: 0.6403	LR: 0.020000
Training Epoch: 24 [16896/48700]	Loss: 0.5949	LR: 0.020000
Training Epoch: 24 [17152/48700]	Loss: 0.4885	LR: 0.020000
Training Epoch: 24 [17408/48700]	Loss: 0.5450	LR: 0.020000
Training Epoch: 24 [17664/48700]	Loss: 0.5316	LR: 0.020000
Training Epoch: 24 [17920/48700]	Loss: 0.5455	LR: 0.020000
Training Epoch: 24 [18176/48700]	Loss: 0.5664	LR: 0.020000
Training Epoch: 24 [18432/48700]	Loss: 0.5337	LR: 0.020000
Training Epoch: 24 [18688/48700]	Loss: 0.6677	LR: 0.020000
Training Epoch: 24 [18944/48700]	Loss: 0.4895	LR: 0.020000
Training Epoch: 24 [19200/48700]	Loss: 0.5592	LR: 0.020000
Training Epoch: 24 [19456/48700]	Loss: 0.6073	LR: 0.020000
Training Epoch: 24 [19712/48700]	Loss: 0.6170	LR: 0.020000
Training Epoch: 24 [19968/48700]	Loss: 0.4664	LR: 0.020000
Training Epoch: 24 [20224/48700]	Loss: 0.5784	LR: 0.020000
Training Epoch: 24 [20480/48700]	Loss: 0.4974	LR: 0.020000
Training Epoch: 24 [20736/48700]	Loss: 0.5885	LR: 0.020000
Training Epoch: 24 [20992/48700]	Loss: 0.6130	LR: 0.020000
Training Epoch: 24 [21248/48700]	Loss: 0.5590	LR: 0.020000
Training Epoch: 24 [21504/48700]	Loss: 0.5635	LR: 0.020000
Training Epoch: 24 [21760/48700]	Loss: 0.4787	LR: 0.020000
Training Epoch: 24 [22016/48700]	Loss: 0.4758	LR: 0.020000
Training Epoch: 24 [22272/48700]	Loss: 0.6456	LR: 0.020000
Training Epoch: 24 [22528/48700]	Loss: 0.4879	LR: 0.020000
Training Epoch: 24 [22784/48700]	Loss: 0.5989	LR: 0.020000
Training Epoch: 24 [23040/48700]	Loss: 0.5900	LR: 0.020000
Training Epoch: 24 [23296/48700]	Loss: 0.5996	LR: 0.020000
Training Epoch: 24 [23552/48700]	Loss: 0.6974	LR: 0.020000
Training Epoch: 24 [23808/48700]	Loss: 0.6022	LR: 0.020000
Training Epoch: 24 [24064/48700]	Loss: 0.4536	LR: 0.020000
Training Epoch: 24 [24320/48700]	Loss: 0.6727	LR: 0.020000
Training Epoch: 24 [24576/48700]	Loss: 0.6000	LR: 0.020000
Training Epoch: 24 [24832/48700]	Loss: 0.5859	LR: 0.020000
Training Epoch: 24 [25088/48700]	Loss: 0.5398	LR: 0.020000
Training Epoch: 24 [25344/48700]	Loss: 0.6052	LR: 0.020000
Training Epoch: 24 [25600/48700]	Loss: 0.5395	LR: 0.020000
Training Epoch: 24 [25856/48700]	Loss: 0.4820	LR: 0.020000
Training Epoch: 24 [26112/48700]	Loss: 0.5541	LR: 0.020000
Training Epoch: 24 [26368/48700]	Loss: 0.6228	LR: 0.020000
Training Epoch: 24 [26624/48700]	Loss: 0.4971	LR: 0.020000
Training Epoch: 24 [26880/48700]	Loss: 0.5837	LR: 0.020000
Training Epoch: 24 [27136/48700]	Loss: 0.5345	LR: 0.020000
Training Epoch: 24 [27392/48700]	Loss: 0.5025	LR: 0.020000
Training Epoch: 24 [27648/48700]	Loss: 0.5395	LR: 0.020000
Training Epoch: 24 [27904/48700]	Loss: 0.5450	LR: 0.020000
Training Epoch: 24 [28160/48700]	Loss: 0.5258	LR: 0.020000
Training Epoch: 24 [28416/48700]	Loss: 0.6216	LR: 0.020000
Training Epoch: 24 [28672/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 24 [28928/48700]	Loss: 0.5181	LR: 0.020000
Training Epoch: 24 [29184/48700]	Loss: 0.5359	LR: 0.020000
Training Epoch: 24 [29440/48700]	Loss: 0.5067	LR: 0.020000
Training Epoch: 24 [29696/48700]	Loss: 0.5405	LR: 0.020000
Training Epoch: 24 [29952/48700]	Loss: 0.5208	LR: 0.020000
Training Epoch: 24 [30208/48700]	Loss: 0.5776	LR: 0.020000
Training Epoch: 24 [30464/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 24 [30720/48700]	Loss: 0.6799	LR: 0.020000
Training Epoch: 24 [30976/48700]	Loss: 0.5459	LR: 0.020000
Training Epoch: 24 [31232/48700]	Loss: 0.6209	LR: 0.020000
Training Epoch: 24 [31488/48700]	Loss: 0.5995	LR: 0.020000
Training Epoch: 24 [31744/48700]	Loss: 0.5678	LR: 0.020000
Training Epoch: 24 [32000/48700]	Loss: 0.4725	LR: 0.020000
Training Epoch: 24 [32256/48700]	Loss: 0.5314	LR: 0.020000
Training Epoch: 24 [32512/48700]	Loss: 0.4784	LR: 0.020000
Training Epoch: 24 [32768/48700]	Loss: 0.6222	LR: 0.020000
Training Epoch: 24 [33024/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 24 [33280/48700]	Loss: 0.5723	LR: 0.020000
Training Epoch: 24 [33536/48700]	Loss: 0.5949	LR: 0.020000
Training Epoch: 24 [33792/48700]	Loss: 0.5102	LR: 0.020000
Training Epoch: 24 [34048/48700]	Loss: 0.5655	LR: 0.020000
Training Epoch: 24 [34304/48700]	Loss: 0.4097	LR: 0.020000
Training Epoch: 24 [34560/48700]	Loss: 0.5909	LR: 0.020000
Training Epoch: 24 [34816/48700]	Loss: 0.5207	LR: 0.020000
Training Epoch: 24 [35072/48700]	Loss: 0.6010	LR: 0.020000
Training Epoch: 24 [35328/48700]	Loss: 0.5216	LR: 0.020000
Training Epoch: 24 [35584/48700]	Loss: 0.5885	LR: 0.020000
Training Epoch: 24 [35840/48700]	Loss: 0.6668	LR: 0.020000
Training Epoch: 24 [36096/48700]	Loss: 0.5943	LR: 0.020000
Training Epoch: 24 [36352/48700]	Loss: 0.6262	LR: 0.020000
Training Epoch: 24 [36608/48700]	Loss: 0.5321	LR: 0.020000
Training Epoch: 24 [36864/48700]	Loss: 0.6084	LR: 0.020000
Training Epoch: 24 [37120/48700]	Loss: 0.5742	LR: 0.020000
Training Epoch: 24 [37376/48700]	Loss: 0.5927	LR: 0.020000
Training Epoch: 24 [37632/48700]	Loss: 0.5615	LR: 0.020000
Training Epoch: 24 [37888/48700]	Loss: 0.6093	LR: 0.020000
Training Epoch: 24 [38144/48700]	Loss: 0.4918	LR: 0.020000
Training Epoch: 24 [38400/48700]	Loss: 0.5952	LR: 0.020000
Training Epoch: 24 [38656/48700]	Loss: 0.6598	LR: 0.020000
Training Epoch: 24 [38912/48700]	Loss: 0.6288	LR: 0.020000
Training Epoch: 24 [39168/48700]	Loss: 0.5851	LR: 0.020000
Training Epoch: 24 [39424/48700]	Loss: 0.6356	LR: 0.020000
Training Epoch: 24 [39680/48700]	Loss: 0.5953	LR: 0.020000
Training Epoch: 24 [39936/48700]	Loss: 0.4810	LR: 0.020000
Training Epoch: 24 [40192/48700]	Loss: 0.6263	LR: 0.020000
Training Epoch: 24 [40448/48700]	Loss: 0.5883	LR: 0.020000
Training Epoch: 24 [40704/48700]	Loss: 0.6221	LR: 0.020000
Training Epoch: 24 [40960/48700]	Loss: 0.5635	LR: 0.020000
Training Epoch: 24 [41216/48700]	Loss: 0.4719	LR: 0.020000
Training Epoch: 24 [41472/48700]	Loss: 0.5156	LR: 0.020000
Training Epoch: 24 [41728/48700]	Loss: 0.5596	LR: 0.020000
Training Epoch: 24 [41984/48700]	Loss: 0.6594	LR: 0.020000
Training Epoch: 24 [42240/48700]	Loss: 0.6046	LR: 0.020000
Training Epoch: 24 [42496/48700]	Loss: 0.5223	LR: 0.020000
Training Epoch: 24 [42752/48700]	Loss: 0.5748	LR: 0.020000
Training Epoch: 24 [43008/48700]	Loss: 0.5654	LR: 0.020000
Training Epoch: 24 [43264/48700]	Loss: 0.5687	LR: 0.020000
Training Epoch: 24 [43520/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 24 [43776/48700]	Loss: 0.5188	LR: 0.020000
Training Epoch: 24 [44032/48700]	Loss: 0.5074	LR: 0.020000
Training Epoch: 24 [44288/48700]	Loss: 0.6071	LR: 0.020000
Training Epoch: 24 [44544/48700]	Loss: 0.6015	LR: 0.020000
Training Epoch: 24 [44800/48700]	Loss: 0.5686	LR: 0.020000
Training Epoch: 24 [45056/48700]	Loss: 0.5619	LR: 0.020000
Training Epoch: 24 [45312/48700]	Loss: 0.5473	LR: 0.020000
Training Epoch: 24 [45568/48700]	Loss: 0.6904	LR: 0.020000
Training Epoch: 24 [45824/48700]	Loss: 0.5444	LR: 0.020000
Training Epoch: 24 [46080/48700]	Loss: 0.6042	LR: 0.020000
Training Epoch: 24 [46336/48700]	Loss: 0.5868	LR: 0.020000
Training Epoch: 24 [46592/48700]	Loss: 0.6273	LR: 0.020000
Training Epoch: 24 [46848/48700]	Loss: 0.4944	LR: 0.020000
Training Epoch: 24 [47104/48700]	Loss: 0.4782	LR: 0.020000
Training Epoch: 24 [47360/48700]	Loss: 0.6707	LR: 0.020000
Training Epoch: 24 [47616/48700]	Loss: 0.6517	LR: 0.020000
Training Epoch: 24 [47872/48700]	Loss: 0.7087	LR: 0.020000
Training Epoch: 24 [48128/48700]	Loss: 0.5182	LR: 0.020000
Training Epoch: 24 [48384/48700]	Loss: 0.5732	LR: 0.020000
Training Epoch: 24 [48640/48700]	Loss: 0.5816	LR: 0.020000
Training Epoch: 24 [48700/48700]	Loss: 0.6094	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5604, Train Accuracy: 0.8181
Epoch 24 training time consumed: 26.92s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0033, Accuracy: 0.7461, Time consumed:0.89s
Training Epoch: 25 [256/48700]	Loss: 0.5289	LR: 0.020000
Training Epoch: 25 [512/48700]	Loss: 0.5420	LR: 0.020000
Training Epoch: 25 [768/48700]	Loss: 0.6229	LR: 0.020000
Training Epoch: 25 [1024/48700]	Loss: 0.4864	LR: 0.020000
Training Epoch: 25 [1280/48700]	Loss: 0.4677	LR: 0.020000
Training Epoch: 25 [1536/48700]	Loss: 0.6696	LR: 0.020000
Training Epoch: 25 [1792/48700]	Loss: 0.4415	LR: 0.020000
Training Epoch: 25 [2048/48700]	Loss: 0.5950	LR: 0.020000
Training Epoch: 25 [2304/48700]	Loss: 0.4350	LR: 0.020000
Training Epoch: 25 [2560/48700]	Loss: 0.5728	LR: 0.020000
Training Epoch: 25 [2816/48700]	Loss: 0.6275	LR: 0.020000
Training Epoch: 25 [3072/48700]	Loss: 0.6436	LR: 0.020000
Training Epoch: 25 [3328/48700]	Loss: 0.5478	LR: 0.020000
Training Epoch: 25 [3584/48700]	Loss: 0.4929	LR: 0.020000
Training Epoch: 25 [3840/48700]	Loss: 0.5519	LR: 0.020000
Training Epoch: 25 [4096/48700]	Loss: 0.4649	LR: 0.020000
Training Epoch: 25 [4352/48700]	Loss: 0.5141	LR: 0.020000
Training Epoch: 25 [4608/48700]	Loss: 0.4848	LR: 0.020000
Training Epoch: 25 [4864/48700]	Loss: 0.4812	LR: 0.020000
Training Epoch: 25 [5120/48700]	Loss: 0.5392	LR: 0.020000
Training Epoch: 25 [5376/48700]	Loss: 0.4884	LR: 0.020000
Training Epoch: 25 [5632/48700]	Loss: 0.5038	LR: 0.020000
Training Epoch: 25 [5888/48700]	Loss: 0.5519	LR: 0.020000
Training Epoch: 25 [6144/48700]	Loss: 0.4451	LR: 0.020000
Training Epoch: 25 [6400/48700]	Loss: 0.5550	LR: 0.020000
Training Epoch: 25 [6656/48700]	Loss: 0.5734	LR: 0.020000
Training Epoch: 25 [6912/48700]	Loss: 0.5968	LR: 0.020000
Training Epoch: 25 [7168/48700]	Loss: 0.4785	LR: 0.020000
Training Epoch: 25 [7424/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 25 [7680/48700]	Loss: 0.5329	LR: 0.020000
Training Epoch: 25 [7936/48700]	Loss: 0.4890	LR: 0.020000
Training Epoch: 25 [8192/48700]	Loss: 0.5259	LR: 0.020000
Training Epoch: 25 [8448/48700]	Loss: 0.5355	LR: 0.020000
Training Epoch: 25 [8704/48700]	Loss: 0.4677	LR: 0.020000
Training Epoch: 25 [8960/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 25 [9216/48700]	Loss: 0.5165	LR: 0.020000
Training Epoch: 25 [9472/48700]	Loss: 0.4747	LR: 0.020000
Training Epoch: 25 [9728/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 25 [9984/48700]	Loss: 0.5333	LR: 0.020000
Training Epoch: 25 [10240/48700]	Loss: 0.4349	LR: 0.020000
Training Epoch: 25 [10496/48700]	Loss: 0.5325	LR: 0.020000
Training Epoch: 25 [10752/48700]	Loss: 0.4761	LR: 0.020000
Training Epoch: 25 [11008/48700]	Loss: 0.5669	LR: 0.020000
Training Epoch: 25 [11264/48700]	Loss: 0.6037	LR: 0.020000
Training Epoch: 25 [11520/48700]	Loss: 0.5690	LR: 0.020000
Training Epoch: 25 [11776/48700]	Loss: 0.6521	LR: 0.020000
Training Epoch: 25 [12032/48700]	Loss: 0.6771	LR: 0.020000
Training Epoch: 25 [12288/48700]	Loss: 0.5432	LR: 0.020000
Training Epoch: 25 [12544/48700]	Loss: 0.4351	LR: 0.020000
Training Epoch: 25 [12800/48700]	Loss: 0.5207	LR: 0.020000
Training Epoch: 25 [13056/48700]	Loss: 0.5648	LR: 0.020000
Training Epoch: 25 [13312/48700]	Loss: 0.5132	LR: 0.020000
Training Epoch: 25 [13568/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 25 [13824/48700]	Loss: 0.5388	LR: 0.020000
Training Epoch: 25 [14080/48700]	Loss: 0.5901	LR: 0.020000
Training Epoch: 25 [14336/48700]	Loss: 0.4078	LR: 0.020000
Training Epoch: 25 [14592/48700]	Loss: 0.5616	LR: 0.020000
Training Epoch: 25 [14848/48700]	Loss: 0.4976	LR: 0.020000
Training Epoch: 25 [15104/48700]	Loss: 0.5867	LR: 0.020000
Training Epoch: 25 [15360/48700]	Loss: 0.5776	LR: 0.020000
Training Epoch: 25 [15616/48700]	Loss: 0.5587	LR: 0.020000
Training Epoch: 25 [15872/48700]	Loss: 0.4672	LR: 0.020000
Training Epoch: 25 [16128/48700]	Loss: 0.5649	LR: 0.020000
Training Epoch: 25 [16384/48700]	Loss: 0.4960	LR: 0.020000
Training Epoch: 25 [16640/48700]	Loss: 0.5258	LR: 0.020000
Training Epoch: 25 [16896/48700]	Loss: 0.5263	LR: 0.020000
Training Epoch: 25 [17152/48700]	Loss: 0.5413	LR: 0.020000
Training Epoch: 25 [17408/48700]	Loss: 0.5437	LR: 0.020000
Training Epoch: 25 [17664/48700]	Loss: 0.6427	LR: 0.020000
Training Epoch: 25 [17920/48700]	Loss: 0.5125	LR: 0.020000
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Training Epoch: 25 [18688/48700]	Loss: 0.4823	LR: 0.020000
Training Epoch: 25 [18944/48700]	Loss: 0.5141	LR: 0.020000
Training Epoch: 25 [19200/48700]	Loss: 0.6383	LR: 0.020000
Training Epoch: 25 [19456/48700]	Loss: 0.5341	LR: 0.020000
Training Epoch: 25 [19712/48700]	Loss: 0.4734	LR: 0.020000
Training Epoch: 25 [19968/48700]	Loss: 0.4891	LR: 0.020000
Training Epoch: 25 [20224/48700]	Loss: 0.5882	LR: 0.020000
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Training Epoch: 25 [20736/48700]	Loss: 0.5201	LR: 0.020000
Training Epoch: 25 [20992/48700]	Loss: 0.6355	LR: 0.020000
Training Epoch: 25 [21248/48700]	Loss: 0.5379	LR: 0.020000
Training Epoch: 25 [21504/48700]	Loss: 0.6274	LR: 0.020000
Training Epoch: 25 [21760/48700]	Loss: 0.5570	LR: 0.020000
Training Epoch: 25 [22016/48700]	Loss: 0.4864	LR: 0.020000
Training Epoch: 25 [22272/48700]	Loss: 0.5242	LR: 0.020000
Training Epoch: 25 [22528/48700]	Loss: 0.4973	LR: 0.020000
Training Epoch: 25 [22784/48700]	Loss: 0.5113	LR: 0.020000
Training Epoch: 25 [23040/48700]	Loss: 0.5232	LR: 0.020000
Training Epoch: 25 [23296/48700]	Loss: 0.5496	LR: 0.020000
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Training Epoch: 25 [23808/48700]	Loss: 0.5100	LR: 0.020000
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Training Epoch: 25 [24320/48700]	Loss: 0.5919	LR: 0.020000
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Training Epoch: 25 [24832/48700]	Loss: 0.5775	LR: 0.020000
Training Epoch: 25 [25088/48700]	Loss: 0.6087	LR: 0.020000
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Training Epoch: 25 [25600/48700]	Loss: 0.6434	LR: 0.020000
Training Epoch: 25 [25856/48700]	Loss: 0.4804	LR: 0.020000
Training Epoch: 25 [26112/48700]	Loss: 0.5126	LR: 0.020000
Training Epoch: 25 [26368/48700]	Loss: 0.6485	LR: 0.020000
Training Epoch: 25 [26624/48700]	Loss: 0.5292	LR: 0.020000
Training Epoch: 25 [26880/48700]	Loss: 0.5384	LR: 0.020000
Training Epoch: 25 [27136/48700]	Loss: 0.4057	LR: 0.020000
Training Epoch: 25 [27392/48700]	Loss: 0.6119	LR: 0.020000
Training Epoch: 25 [27648/48700]	Loss: 0.4934	LR: 0.020000
Training Epoch: 25 [27904/48700]	Loss: 0.4412	LR: 0.020000
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Training Epoch: 25 [28416/48700]	Loss: 0.5365	LR: 0.020000
Training Epoch: 25 [28672/48700]	Loss: 0.4814	LR: 0.020000
Training Epoch: 25 [28928/48700]	Loss: 0.5478	LR: 0.020000
Training Epoch: 25 [29184/48700]	Loss: 0.6022	LR: 0.020000
Training Epoch: 25 [29440/48700]	Loss: 0.5586	LR: 0.020000
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Training Epoch: 25 [29952/48700]	Loss: 0.5350	LR: 0.020000
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Training Epoch: 25 [30464/48700]	Loss: 0.5357	LR: 0.020000
Training Epoch: 25 [30720/48700]	Loss: 0.5495	LR: 0.020000
Training Epoch: 25 [30976/48700]	Loss: 0.5302	LR: 0.020000
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Training Epoch: 25 [35328/48700]	Loss: 0.4973	LR: 0.020000
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Training Epoch: 25 [36352/48700]	Loss: 0.6453	LR: 0.020000
Training Epoch: 25 [36608/48700]	Loss: 0.6773	LR: 0.020000
Training Epoch: 25 [36864/48700]	Loss: 0.5594	LR: 0.020000
Training Epoch: 25 [37120/48700]	Loss: 0.6348	LR: 0.020000
Training Epoch: 25 [37376/48700]	Loss: 0.5237	LR: 0.020000
Training Epoch: 25 [37632/48700]	Loss: 0.4954	LR: 0.020000
Training Epoch: 25 [37888/48700]	Loss: 0.6019	LR: 0.020000
Training Epoch: 25 [38144/48700]	Loss: 0.5954	LR: 0.020000
Training Epoch: 25 [38400/48700]	Loss: 0.5553	LR: 0.020000
Training Epoch: 25 [38656/48700]	Loss: 0.5877	LR: 0.020000
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Training Epoch: 25 [40192/48700]	Loss: 0.5408	LR: 0.020000
Training Epoch: 25 [40448/48700]	Loss: 0.5436	LR: 0.020000
Training Epoch: 25 [40704/48700]	Loss: 0.5546	LR: 0.020000
Training Epoch: 25 [40960/48700]	Loss: 0.5663	LR: 0.020000
Training Epoch: 25 [41216/48700]	Loss: 0.6474	LR: 0.020000
Training Epoch: 25 [41472/48700]	Loss: 0.5627	LR: 0.020000
Training Epoch: 25 [41728/48700]	Loss: 0.5567	LR: 0.020000
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Training Epoch: 25 [42240/48700]	Loss: 0.5034	LR: 0.020000
Training Epoch: 25 [42496/48700]	Loss: 0.5383	LR: 0.020000
Training Epoch: 25 [42752/48700]	Loss: 0.5109	LR: 0.020000
Training Epoch: 25 [43008/48700]	Loss: 0.5928	LR: 0.020000
Training Epoch: 25 [43264/48700]	Loss: 0.5919	LR: 0.020000
Training Epoch: 25 [43520/48700]	Loss: 0.7473	LR: 0.020000
Training Epoch: 25 [43776/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 25 [44032/48700]	Loss: 0.5664	LR: 0.020000
Training Epoch: 25 [44288/48700]	Loss: 0.5024	LR: 0.020000
Training Epoch: 25 [44544/48700]	Loss: 0.5959	LR: 0.020000
Training Epoch: 25 [44800/48700]	Loss: 0.5383	LR: 0.020000
Training Epoch: 25 [45056/48700]	Loss: 0.5184	LR: 0.020000
Training Epoch: 25 [45312/48700]	Loss: 0.5799	LR: 0.020000
Training Epoch: 25 [45568/48700]	Loss: 0.6539	LR: 0.020000
Training Epoch: 25 [45824/48700]	Loss: 0.4662	LR: 0.020000
Training Epoch: 25 [46080/48700]	Loss: 0.5836	LR: 0.020000
Training Epoch: 25 [46336/48700]	Loss: 0.4670	LR: 0.020000
Training Epoch: 25 [46592/48700]	Loss: 0.5993	LR: 0.020000
Training Epoch: 25 [46848/48700]	Loss: 0.5385	LR: 0.020000
Training Epoch: 25 [47104/48700]	Loss: 0.5228	LR: 0.020000
Training Epoch: 25 [47360/48700]	Loss: 0.5919	LR: 0.020000
Training Epoch: 25 [47616/48700]	Loss: 0.5233	LR: 0.020000
Training Epoch: 25 [47872/48700]	Loss: 0.6360	LR: 0.020000
Training Epoch: 25 [48128/48700]	Loss: 0.6386	LR: 0.020000
Training Epoch: 25 [48384/48700]	Loss: 0.4287	LR: 0.020000
Training Epoch: 25 [48640/48700]	Loss: 0.5350	LR: 0.020000
Training Epoch: 25 [48700/48700]	Loss: 0.5614	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5432, Train Accuracy: 0.8244
Epoch 25 training time consumed: 26.91s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0035, Accuracy: 0.7393, Time consumed:0.96s
Training Epoch: 26 [256/48700]	Loss: 0.5308	LR: 0.020000
Training Epoch: 26 [512/48700]	Loss: 0.6124	LR: 0.020000
Training Epoch: 26 [768/48700]	Loss: 0.5014	LR: 0.020000
Training Epoch: 26 [1024/48700]	Loss: 0.4955	LR: 0.020000
Training Epoch: 26 [1280/48700]	Loss: 0.5217	LR: 0.020000
Training Epoch: 26 [1536/48700]	Loss: 0.5109	LR: 0.020000
Training Epoch: 26 [1792/48700]	Loss: 0.4579	LR: 0.020000
Training Epoch: 26 [2048/48700]	Loss: 0.4759	LR: 0.020000
Training Epoch: 26 [2304/48700]	Loss: 0.4901	LR: 0.020000
Training Epoch: 26 [2560/48700]	Loss: 0.5394	LR: 0.020000
Training Epoch: 26 [2816/48700]	Loss: 0.6456	LR: 0.020000
Training Epoch: 26 [3072/48700]	Loss: 0.5715	LR: 0.020000
Training Epoch: 26 [3328/48700]	Loss: 0.5514	LR: 0.020000
Training Epoch: 26 [3584/48700]	Loss: 0.4928	LR: 0.020000
Training Epoch: 26 [3840/48700]	Loss: 0.5068	LR: 0.020000
Training Epoch: 26 [4096/48700]	Loss: 0.5411	LR: 0.020000
Training Epoch: 26 [4352/48700]	Loss: 0.5718	LR: 0.020000
Training Epoch: 26 [4608/48700]	Loss: 0.5856	LR: 0.020000
Training Epoch: 26 [4864/48700]	Loss: 0.3831	LR: 0.020000
Training Epoch: 26 [5120/48700]	Loss: 0.4765	LR: 0.020000
Training Epoch: 26 [5376/48700]	Loss: 0.6625	LR: 0.020000
Training Epoch: 26 [5632/48700]	Loss: 0.6597	LR: 0.020000
Training Epoch: 26 [5888/48700]	Loss: 0.4836	LR: 0.020000
Training Epoch: 26 [6144/48700]	Loss: 0.5023	LR: 0.020000
Training Epoch: 26 [6400/48700]	Loss: 0.5047	LR: 0.020000
Training Epoch: 26 [6656/48700]	Loss: 0.4386	LR: 0.020000
Training Epoch: 26 [6912/48700]	Loss: 0.5100	LR: 0.020000
Training Epoch: 26 [7168/48700]	Loss: 0.5063	LR: 0.020000
Training Epoch: 26 [7424/48700]	Loss: 0.5378	LR: 0.020000
Training Epoch: 26 [7680/48700]	Loss: 0.5157	LR: 0.020000
Training Epoch: 26 [7936/48700]	Loss: 0.4878	LR: 0.020000
Training Epoch: 26 [8192/48700]	Loss: 0.5328	LR: 0.020000
Training Epoch: 26 [8448/48700]	Loss: 0.6655	LR: 0.020000
Training Epoch: 26 [8704/48700]	Loss: 0.4319	LR: 0.020000
Training Epoch: 26 [8960/48700]	Loss: 0.5788	LR: 0.020000
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Training Epoch: 26 [9472/48700]	Loss: 0.5199	LR: 0.020000
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Training Epoch: 26 [9984/48700]	Loss: 0.5350	LR: 0.020000
Training Epoch: 26 [10240/48700]	Loss: 0.5003	LR: 0.020000
Training Epoch: 26 [10496/48700]	Loss: 0.4835	LR: 0.020000
Training Epoch: 26 [10752/48700]	Loss: 0.5472	LR: 0.020000
Training Epoch: 26 [11008/48700]	Loss: 0.4760	LR: 0.020000
Training Epoch: 26 [11264/48700]	Loss: 0.4817	LR: 0.020000
Training Epoch: 26 [11520/48700]	Loss: 0.5438	LR: 0.020000
Training Epoch: 26 [11776/48700]	Loss: 0.5329	LR: 0.020000
Training Epoch: 26 [12032/48700]	Loss: 0.5301	LR: 0.020000
Training Epoch: 26 [12288/48700]	Loss: 0.5546	LR: 0.020000
Training Epoch: 26 [12544/48700]	Loss: 0.4823	LR: 0.020000
Training Epoch: 26 [12800/48700]	Loss: 0.5416	LR: 0.020000
Training Epoch: 26 [13056/48700]	Loss: 0.5254	LR: 0.020000
Training Epoch: 26 [13312/48700]	Loss: 0.5522	LR: 0.020000
Training Epoch: 26 [13568/48700]	Loss: 0.5338	LR: 0.020000
Training Epoch: 26 [13824/48700]	Loss: 0.5398	LR: 0.020000
Training Epoch: 26 [14080/48700]	Loss: 0.4811	LR: 0.020000
Training Epoch: 26 [14336/48700]	Loss: 0.5162	LR: 0.020000
Training Epoch: 26 [14592/48700]	Loss: 0.6034	LR: 0.020000
Training Epoch: 26 [14848/48700]	Loss: 0.5255	LR: 0.020000
Training Epoch: 26 [15104/48700]	Loss: 0.4888	LR: 0.020000
Training Epoch: 26 [15360/48700]	Loss: 0.5902	LR: 0.020000
Training Epoch: 26 [15616/48700]	Loss: 0.5160	LR: 0.020000
Training Epoch: 26 [15872/48700]	Loss: 0.5788	LR: 0.020000
Training Epoch: 26 [16128/48700]	Loss: 0.5787	LR: 0.020000
Training Epoch: 26 [16384/48700]	Loss: 0.5270	LR: 0.020000
Training Epoch: 26 [16640/48700]	Loss: 0.4804	LR: 0.020000
Training Epoch: 26 [16896/48700]	Loss: 0.6345	LR: 0.020000
Training Epoch: 26 [17152/48700]	Loss: 0.5301	LR: 0.020000
Training Epoch: 26 [17408/48700]	Loss: 0.4580	LR: 0.020000
Training Epoch: 26 [17664/48700]	Loss: 0.4715	LR: 0.020000
Training Epoch: 26 [17920/48700]	Loss: 0.4435	LR: 0.020000
Training Epoch: 26 [18176/48700]	Loss: 0.5104	LR: 0.020000
Training Epoch: 26 [18432/48700]	Loss: 0.4753	LR: 0.020000
Training Epoch: 26 [18688/48700]	Loss: 0.4939	LR: 0.020000
Training Epoch: 26 [18944/48700]	Loss: 0.5548	LR: 0.020000
Training Epoch: 26 [19200/48700]	Loss: 0.4969	LR: 0.020000
Training Epoch: 26 [19456/48700]	Loss: 0.4761	LR: 0.020000
Training Epoch: 26 [19712/48700]	Loss: 0.4878	LR: 0.020000
Training Epoch: 26 [19968/48700]	Loss: 0.4305	LR: 0.020000
Training Epoch: 26 [20224/48700]	Loss: 0.4055	LR: 0.020000
Training Epoch: 26 [20480/48700]	Loss: 0.5005	LR: 0.020000
Training Epoch: 26 [20736/48700]	Loss: 0.4396	LR: 0.020000
Training Epoch: 26 [20992/48700]	Loss: 0.5706	LR: 0.020000
Training Epoch: 26 [21248/48700]	Loss: 0.5632	LR: 0.020000
Training Epoch: 26 [21504/48700]	Loss: 0.4985	LR: 0.020000
Training Epoch: 26 [21760/48700]	Loss: 0.6085	LR: 0.020000
Training Epoch: 26 [22016/48700]	Loss: 0.4747	LR: 0.020000
Training Epoch: 26 [22272/48700]	Loss: 0.5334	LR: 0.020000
Training Epoch: 26 [22528/48700]	Loss: 0.5018	LR: 0.020000
Training Epoch: 26 [22784/48700]	Loss: 0.4817	LR: 0.020000
Training Epoch: 26 [23040/48700]	Loss: 0.5237	LR: 0.020000
Training Epoch: 26 [23296/48700]	Loss: 0.5445	LR: 0.020000
Training Epoch: 26 [23552/48700]	Loss: 0.4406	LR: 0.020000
Training Epoch: 26 [23808/48700]	Loss: 0.5231	LR: 0.020000
Training Epoch: 26 [24064/48700]	Loss: 0.5038	LR: 0.020000
Training Epoch: 26 [24320/48700]	Loss: 0.6365	LR: 0.020000
Training Epoch: 26 [24576/48700]	Loss: 0.5010	LR: 0.020000
Training Epoch: 26 [24832/48700]	Loss: 0.5513	LR: 0.020000
Training Epoch: 26 [25088/48700]	Loss: 0.5483	LR: 0.020000
Training Epoch: 26 [25344/48700]	Loss: 0.5061	LR: 0.020000
Training Epoch: 26 [25600/48700]	Loss: 0.5440	LR: 0.020000
Training Epoch: 26 [25856/48700]	Loss: 0.4665	LR: 0.020000
Training Epoch: 26 [26112/48700]	Loss: 0.5262	LR: 0.020000
Training Epoch: 26 [26368/48700]	Loss: 0.4344	LR: 0.020000
Training Epoch: 26 [26624/48700]	Loss: 0.6133	LR: 0.020000
Training Epoch: 26 [26880/48700]	Loss: 0.5046	LR: 0.020000
Training Epoch: 26 [27136/48700]	Loss: 0.4765	LR: 0.020000
Training Epoch: 26 [27392/48700]	Loss: 0.5258	LR: 0.020000
Training Epoch: 26 [27648/48700]	Loss: 0.5855	LR: 0.020000
Training Epoch: 26 [27904/48700]	Loss: 0.5420	LR: 0.020000
Training Epoch: 26 [28160/48700]	Loss: 0.5562	LR: 0.020000
Training Epoch: 26 [28416/48700]	Loss: 0.5247	LR: 0.020000
Training Epoch: 26 [28672/48700]	Loss: 0.6080	LR: 0.020000
Training Epoch: 26 [28928/48700]	Loss: 0.5183	LR: 0.020000
Training Epoch: 26 [29184/48700]	Loss: 0.5407	LR: 0.020000
Training Epoch: 26 [29440/48700]	Loss: 0.5527	LR: 0.020000
Training Epoch: 26 [29696/48700]	Loss: 0.5341	LR: 0.020000
Training Epoch: 26 [29952/48700]	Loss: 0.5434	LR: 0.020000
Training Epoch: 26 [30208/48700]	Loss: 0.4834	LR: 0.020000
Training Epoch: 26 [30464/48700]	Loss: 0.5723	LR: 0.020000
Training Epoch: 26 [30720/48700]	Loss: 0.5090	LR: 0.020000
Training Epoch: 26 [30976/48700]	Loss: 0.5406	LR: 0.020000
Training Epoch: 26 [31232/48700]	Loss: 0.6690	LR: 0.020000
Training Epoch: 26 [31488/48700]	Loss: 0.5266	LR: 0.020000
Training Epoch: 26 [31744/48700]	Loss: 0.6263	LR: 0.020000
Training Epoch: 26 [32000/48700]	Loss: 0.6320	LR: 0.020000
Training Epoch: 26 [32256/48700]	Loss: 0.5614	LR: 0.020000
Training Epoch: 26 [32512/48700]	Loss: 0.5324	LR: 0.020000
Training Epoch: 26 [32768/48700]	Loss: 0.5132	LR: 0.020000
Training Epoch: 26 [33024/48700]	Loss: 0.6115	LR: 0.020000
Training Epoch: 26 [33280/48700]	Loss: 0.5963	LR: 0.020000
Training Epoch: 26 [33536/48700]	Loss: 0.6023	LR: 0.020000
Training Epoch: 26 [33792/48700]	Loss: 0.5118	LR: 0.020000
Training Epoch: 26 [34048/48700]	Loss: 0.6578	LR: 0.020000
Training Epoch: 26 [34304/48700]	Loss: 0.5554	LR: 0.020000
Training Epoch: 26 [34560/48700]	Loss: 0.5204	LR: 0.020000
Training Epoch: 26 [34816/48700]	Loss: 0.4776	LR: 0.020000
Training Epoch: 26 [35072/48700]	Loss: 0.6326	LR: 0.020000
Training Epoch: 26 [35328/48700]	Loss: 0.5813	LR: 0.020000
Training Epoch: 26 [35584/48700]	Loss: 0.5503	LR: 0.020000
Training Epoch: 26 [35840/48700]	Loss: 0.5908	LR: 0.020000
Training Epoch: 26 [36096/48700]	Loss: 0.5626	LR: 0.020000
Training Epoch: 26 [36352/48700]	Loss: 0.4597	LR: 0.020000
Training Epoch: 26 [36608/48700]	Loss: 0.5585	LR: 0.020000
Training Epoch: 26 [36864/48700]	Loss: 0.5013	LR: 0.020000
Training Epoch: 26 [37120/48700]	Loss: 0.5922	LR: 0.020000
Training Epoch: 26 [37376/48700]	Loss: 0.5540	LR: 0.020000
Training Epoch: 26 [37632/48700]	Loss: 0.5717	LR: 0.020000
Training Epoch: 26 [37888/48700]	Loss: 0.4886	LR: 0.020000
Training Epoch: 26 [38144/48700]	Loss: 0.5811	LR: 0.020000
Training Epoch: 26 [38400/48700]	Loss: 0.5826	LR: 0.020000
Training Epoch: 26 [38656/48700]	Loss: 0.5865	LR: 0.020000
Training Epoch: 26 [38912/48700]	Loss: 0.5518	LR: 0.020000
Training Epoch: 26 [39168/48700]	Loss: 0.5484	LR: 0.020000
Training Epoch: 26 [39424/48700]	Loss: 0.6573	LR: 0.020000
Training Epoch: 26 [39680/48700]	Loss: 0.4454	LR: 0.020000
Training Epoch: 26 [39936/48700]	Loss: 0.6038	LR: 0.020000
Training Epoch: 26 [40192/48700]	Loss: 0.6111	LR: 0.020000
Training Epoch: 26 [40448/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 26 [40704/48700]	Loss: 0.4793	LR: 0.020000
Training Epoch: 26 [40960/48700]	Loss: 0.5903	LR: 0.020000
Training Epoch: 26 [41216/48700]	Loss: 0.4402	LR: 0.020000
Training Epoch: 26 [41472/48700]	Loss: 0.5382	LR: 0.020000
Training Epoch: 26 [41728/48700]	Loss: 0.5546	LR: 0.020000
Training Epoch: 26 [41984/48700]	Loss: 0.5526	LR: 0.020000
Training Epoch: 26 [42240/48700]	Loss: 0.4476	LR: 0.020000
Training Epoch: 26 [42496/48700]	Loss: 0.6213	LR: 0.020000
Training Epoch: 26 [42752/48700]	Loss: 0.6583	LR: 0.020000
Training Epoch: 26 [43008/48700]	Loss: 0.5174	LR: 0.020000
Training Epoch: 26 [43264/48700]	Loss: 0.5073	LR: 0.020000
Training Epoch: 26 [43520/48700]	Loss: 0.4930	LR: 0.020000
Training Epoch: 26 [43776/48700]	Loss: 0.6798	LR: 0.020000
Training Epoch: 26 [44032/48700]	Loss: 0.5147	LR: 0.020000
Training Epoch: 26 [44288/48700]	Loss: 0.4856	LR: 0.020000
Training Epoch: 26 [44544/48700]	Loss: 0.5531	LR: 0.020000
Training Epoch: 26 [44800/48700]	Loss: 0.5351	LR: 0.020000
Training Epoch: 26 [45056/48700]	Loss: 0.5215	LR: 0.020000
Training Epoch: 26 [45312/48700]	Loss: 0.6455	LR: 0.020000
Training Epoch: 26 [45568/48700]	Loss: 0.6794	LR: 0.020000
Training Epoch: 26 [45824/48700]	Loss: 0.5557	LR: 0.020000
Training Epoch: 26 [46080/48700]	Loss: 0.5272	LR: 0.020000
Training Epoch: 26 [46336/48700]	Loss: 0.6433	LR: 0.020000
Training Epoch: 26 [46592/48700]	Loss: 0.6336	LR: 0.020000
Training Epoch: 26 [46848/48700]	Loss: 0.5954	LR: 0.020000
Training Epoch: 26 [47104/48700]	Loss: 0.5676	LR: 0.020000
Training Epoch: 26 [47360/48700]	Loss: 0.4727	LR: 0.020000
Training Epoch: 26 [47616/48700]	Loss: 0.4871	LR: 0.020000
Training Epoch: 26 [47872/48700]	Loss: 0.5467	LR: 0.020000
Training Epoch: 26 [48128/48700]	Loss: 0.5562	LR: 0.020000
Training Epoch: 26 [48384/48700]	Loss: 0.4832	LR: 0.020000
Training Epoch: 26 [48640/48700]	Loss: 0.5273	LR: 0.020000
Training Epoch: 26 [48700/48700]	Loss: 0.7263	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5363, Train Accuracy: 0.8265
Epoch 26 training time consumed: 26.91s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0035, Accuracy: 0.7390, Time consumed:0.93s
Training Epoch: 27 [256/48700]	Loss: 0.4504	LR: 0.020000
Training Epoch: 27 [512/48700]	Loss: 0.5754	LR: 0.020000
Training Epoch: 27 [768/48700]	Loss: 0.4331	LR: 0.020000
Training Epoch: 27 [1024/48700]	Loss: 0.5121	LR: 0.020000
Training Epoch: 27 [1280/48700]	Loss: 0.4905	LR: 0.020000
Training Epoch: 27 [1536/48700]	Loss: 0.5501	LR: 0.020000
Training Epoch: 27 [1792/48700]	Loss: 0.4946	LR: 0.020000
Training Epoch: 27 [2048/48700]	Loss: 0.4949	LR: 0.020000
Training Epoch: 27 [2304/48700]	Loss: 0.5176	LR: 0.020000
Training Epoch: 27 [2560/48700]	Loss: 0.5655	LR: 0.020000
Training Epoch: 27 [2816/48700]	Loss: 0.4161	LR: 0.020000
Training Epoch: 27 [3072/48700]	Loss: 0.4864	LR: 0.020000
Training Epoch: 27 [3328/48700]	Loss: 0.4642	LR: 0.020000
Training Epoch: 27 [3584/48700]	Loss: 0.5008	LR: 0.020000
Training Epoch: 27 [3840/48700]	Loss: 0.4531	LR: 0.020000
Training Epoch: 27 [4096/48700]	Loss: 0.6438	LR: 0.020000
Training Epoch: 27 [4352/48700]	Loss: 0.4572	LR: 0.020000
Training Epoch: 27 [4608/48700]	Loss: 0.5650	LR: 0.020000
Training Epoch: 27 [4864/48700]	Loss: 0.4932	LR: 0.020000
Training Epoch: 27 [5120/48700]	Loss: 0.4879	LR: 0.020000
Training Epoch: 27 [5376/48700]	Loss: 0.5341	LR: 0.020000
Training Epoch: 27 [5632/48700]	Loss: 0.5246	LR: 0.020000
Training Epoch: 27 [5888/48700]	Loss: 0.5095	LR: 0.020000
Training Epoch: 27 [6144/48700]	Loss: 0.5570	LR: 0.020000
Training Epoch: 27 [6400/48700]	Loss: 0.4489	LR: 0.020000
Training Epoch: 27 [6656/48700]	Loss: 0.5319	LR: 0.020000
Training Epoch: 27 [6912/48700]	Loss: 0.4848	LR: 0.020000
Training Epoch: 27 [7168/48700]	Loss: 0.5600	LR: 0.020000
Training Epoch: 27 [7424/48700]	Loss: 0.4412	LR: 0.020000
Training Epoch: 27 [7680/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 27 [7936/48700]	Loss: 0.5383	LR: 0.020000
Training Epoch: 27 [8192/48700]	Loss: 0.5142	LR: 0.020000
Training Epoch: 27 [8448/48700]	Loss: 0.4918	LR: 0.020000
Training Epoch: 27 [8704/48700]	Loss: 0.5552	LR: 0.020000
Training Epoch: 27 [8960/48700]	Loss: 0.4285	LR: 0.020000
Training Epoch: 27 [9216/48700]	Loss: 0.5828	LR: 0.020000
Training Epoch: 27 [9472/48700]	Loss: 0.4917	LR: 0.020000
Training Epoch: 27 [9728/48700]	Loss: 0.5483	LR: 0.020000
Training Epoch: 27 [9984/48700]	Loss: 0.5525	LR: 0.020000
Training Epoch: 27 [10240/48700]	Loss: 0.4566	LR: 0.020000
Training Epoch: 27 [10496/48700]	Loss: 0.5503	LR: 0.020000
Training Epoch: 27 [10752/48700]	Loss: 0.5691	LR: 0.020000
Training Epoch: 27 [11008/48700]	Loss: 0.5302	LR: 0.020000
Training Epoch: 27 [11264/48700]	Loss: 0.4386	LR: 0.020000
Training Epoch: 27 [11520/48700]	Loss: 0.5346	LR: 0.020000
Training Epoch: 27 [11776/48700]	Loss: 0.5433	LR: 0.020000
Training Epoch: 27 [12032/48700]	Loss: 0.5068	LR: 0.020000
Training Epoch: 27 [12288/48700]	Loss: 0.5384	LR: 0.020000
Training Epoch: 27 [12544/48700]	Loss: 0.5873	LR: 0.020000
Training Epoch: 27 [12800/48700]	Loss: 0.6641	LR: 0.020000
Training Epoch: 27 [13056/48700]	Loss: 0.4986	LR: 0.020000
Training Epoch: 27 [13312/48700]	Loss: 0.4944	LR: 0.020000
Training Epoch: 27 [13568/48700]	Loss: 0.4070	LR: 0.020000
Training Epoch: 27 [13824/48700]	Loss: 0.4572	LR: 0.020000
Training Epoch: 27 [14080/48700]	Loss: 0.4702	LR: 0.020000
Training Epoch: 27 [14336/48700]	Loss: 0.5073	LR: 0.020000
Training Epoch: 27 [14592/48700]	Loss: 0.5470	LR: 0.020000
Training Epoch: 27 [14848/48700]	Loss: 0.4895	LR: 0.020000
Training Epoch: 27 [15104/48700]	Loss: 0.5032	LR: 0.020000
Training Epoch: 27 [15360/48700]	Loss: 0.6526	LR: 0.020000
Training Epoch: 27 [15616/48700]	Loss: 0.5518	LR: 0.020000
Training Epoch: 27 [15872/48700]	Loss: 0.5868	LR: 0.020000
Training Epoch: 27 [16128/48700]	Loss: 0.5293	LR: 0.020000
Training Epoch: 27 [16384/48700]	Loss: 0.4559	LR: 0.020000
Training Epoch: 27 [16640/48700]	Loss: 0.5316	LR: 0.020000
Training Epoch: 27 [16896/48700]	Loss: 0.4546	LR: 0.020000
Training Epoch: 27 [17152/48700]	Loss: 0.5439	LR: 0.020000
Training Epoch: 27 [17408/48700]	Loss: 0.5765	LR: 0.020000
Training Epoch: 27 [17664/48700]	Loss: 0.4366	LR: 0.020000
Training Epoch: 27 [17920/48700]	Loss: 0.5637	LR: 0.020000
Training Epoch: 27 [18176/48700]	Loss: 0.4110	LR: 0.020000
Training Epoch: 27 [18432/48700]	Loss: 0.5573	LR: 0.020000
Training Epoch: 27 [18688/48700]	Loss: 0.4806	LR: 0.020000
Training Epoch: 27 [18944/48700]	Loss: 0.6123	LR: 0.020000
Training Epoch: 27 [19200/48700]	Loss: 0.5981	LR: 0.020000
Training Epoch: 27 [19456/48700]	Loss: 0.4566	LR: 0.020000
Training Epoch: 27 [19712/48700]	Loss: 0.4892	LR: 0.020000
Training Epoch: 27 [19968/48700]	Loss: 0.5584	LR: 0.020000
Training Epoch: 27 [20224/48700]	Loss: 0.5206	LR: 0.020000
Training Epoch: 27 [20480/48700]	Loss: 0.4834	LR: 0.020000
Training Epoch: 27 [20736/48700]	Loss: 0.4851	LR: 0.020000
Training Epoch: 27 [20992/48700]	Loss: 0.4664	LR: 0.020000
Training Epoch: 27 [21248/48700]	Loss: 0.6536	LR: 0.020000
Training Epoch: 27 [21504/48700]	Loss: 0.5565	LR: 0.020000
Training Epoch: 27 [21760/48700]	Loss: 0.5409	LR: 0.020000
Training Epoch: 27 [22016/48700]	Loss: 0.5532	LR: 0.020000
Training Epoch: 27 [22272/48700]	Loss: 0.5394	LR: 0.020000
Training Epoch: 27 [22528/48700]	Loss: 0.5736	LR: 0.020000
Training Epoch: 27 [22784/48700]	Loss: 0.5312	LR: 0.020000
Training Epoch: 27 [23040/48700]	Loss: 0.5072	LR: 0.020000
Training Epoch: 27 [23296/48700]	Loss: 0.4509	LR: 0.020000
Training Epoch: 27 [23552/48700]	Loss: 0.6325	LR: 0.020000
Training Epoch: 27 [23808/48700]	Loss: 0.5425	LR: 0.020000
Training Epoch: 27 [24064/48700]	Loss: 0.4529	LR: 0.020000
Training Epoch: 27 [24320/48700]	Loss: 0.6373	LR: 0.020000
Training Epoch: 27 [24576/48700]	Loss: 0.5721	LR: 0.020000
Training Epoch: 27 [24832/48700]	Loss: 0.5081	LR: 0.020000
Training Epoch: 27 [25088/48700]	Loss: 0.4579	LR: 0.020000
Training Epoch: 27 [25344/48700]	Loss: 0.4895	LR: 0.020000
Training Epoch: 27 [25600/48700]	Loss: 0.4506	LR: 0.020000
Training Epoch: 27 [25856/48700]	Loss: 0.4959	LR: 0.020000
Training Epoch: 27 [26112/48700]	Loss: 0.5699	LR: 0.020000
Training Epoch: 27 [26368/48700]	Loss: 0.4885	LR: 0.020000
Training Epoch: 27 [26624/48700]	Loss: 0.5682	LR: 0.020000
Training Epoch: 27 [26880/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 27 [27136/48700]	Loss: 0.5164	LR: 0.020000
Training Epoch: 27 [27392/48700]	Loss: 0.3855	LR: 0.020000
Training Epoch: 27 [27648/48700]	Loss: 0.5583	LR: 0.020000
Training Epoch: 27 [27904/48700]	Loss: 0.4734	LR: 0.020000
Training Epoch: 27 [28160/48700]	Loss: 0.4941	LR: 0.020000
Training Epoch: 27 [28416/48700]	Loss: 0.5335	LR: 0.020000
Training Epoch: 27 [28672/48700]	Loss: 0.6309	LR: 0.020000
Training Epoch: 27 [28928/48700]	Loss: 0.5843	LR: 0.020000
Training Epoch: 27 [29184/48700]	Loss: 0.4020	LR: 0.020000
Training Epoch: 27 [29440/48700]	Loss: 0.4651	LR: 0.020000
Training Epoch: 27 [29696/48700]	Loss: 0.5389	LR: 0.020000
Training Epoch: 27 [29952/48700]	Loss: 0.5052	LR: 0.020000
Training Epoch: 27 [30208/48700]	Loss: 0.5140	LR: 0.020000
Training Epoch: 27 [30464/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 27 [30720/48700]	Loss: 0.5309	LR: 0.020000
Training Epoch: 27 [30976/48700]	Loss: 0.6086	LR: 0.020000
Training Epoch: 27 [31232/48700]	Loss: 0.6511	LR: 0.020000
Training Epoch: 27 [31488/48700]	Loss: 0.5215	LR: 0.020000
Training Epoch: 27 [31744/48700]	Loss: 0.5601	LR: 0.020000
Training Epoch: 27 [32000/48700]	Loss: 0.5082	LR: 0.020000
Training Epoch: 27 [32256/48700]	Loss: 0.4136	LR: 0.020000
Training Epoch: 27 [32512/48700]	Loss: 0.4499	LR: 0.020000
Training Epoch: 27 [32768/48700]	Loss: 0.4970	LR: 0.020000
Training Epoch: 27 [33024/48700]	Loss: 0.7167	LR: 0.020000
Training Epoch: 27 [33280/48700]	Loss: 0.5110	LR: 0.020000
Training Epoch: 27 [33536/48700]	Loss: 0.5388	LR: 0.020000
Training Epoch: 27 [33792/48700]	Loss: 0.6266	LR: 0.020000
Training Epoch: 27 [34048/48700]	Loss: 0.6297	LR: 0.020000
Training Epoch: 27 [34304/48700]	Loss: 0.5853	LR: 0.020000
Training Epoch: 27 [34560/48700]	Loss: 0.5198	LR: 0.020000
Training Epoch: 27 [34816/48700]	Loss: 0.5871	LR: 0.020000
Training Epoch: 27 [35072/48700]	Loss: 0.3932	LR: 0.020000
Training Epoch: 27 [35328/48700]	Loss: 0.4995	LR: 0.020000
Training Epoch: 27 [35584/48700]	Loss: 0.4624	LR: 0.020000
Training Epoch: 27 [35840/48700]	Loss: 0.6199	LR: 0.020000
Training Epoch: 27 [36096/48700]	Loss: 0.4347	LR: 0.020000
Training Epoch: 27 [36352/48700]	Loss: 0.5611	LR: 0.020000
Training Epoch: 27 [36608/48700]	Loss: 0.5714	LR: 0.020000
Training Epoch: 27 [36864/48700]	Loss: 0.5623	LR: 0.020000
Training Epoch: 27 [37120/48700]	Loss: 0.5009	LR: 0.020000
Training Epoch: 27 [37376/48700]	Loss: 0.5776	LR: 0.020000
Training Epoch: 27 [37632/48700]	Loss: 0.6735	LR: 0.020000
Training Epoch: 27 [37888/48700]	Loss: 0.4888	LR: 0.020000
Training Epoch: 27 [38144/48700]	Loss: 0.4878	LR: 0.020000
Training Epoch: 27 [38400/48700]	Loss: 0.5136	LR: 0.020000
Training Epoch: 27 [38656/48700]	Loss: 0.5604	LR: 0.020000
Training Epoch: 27 [38912/48700]	Loss: 0.5170	LR: 0.020000
Training Epoch: 27 [39168/48700]	Loss: 0.5324	LR: 0.020000
Training Epoch: 27 [39424/48700]	Loss: 0.5709	LR: 0.020000
Training Epoch: 27 [39680/48700]	Loss: 0.5737	LR: 0.020000
Training Epoch: 27 [39936/48700]	Loss: 0.4503	LR: 0.020000
Training Epoch: 27 [40192/48700]	Loss: 0.5155	LR: 0.020000
Training Epoch: 27 [40448/48700]	Loss: 0.6031	LR: 0.020000
Training Epoch: 27 [40704/48700]	Loss: 0.5625	LR: 0.020000
Training Epoch: 27 [40960/48700]	Loss: 0.4732	LR: 0.020000
Training Epoch: 27 [41216/48700]	Loss: 0.5619	LR: 0.020000
Training Epoch: 27 [41472/48700]	Loss: 0.7014	LR: 0.020000
Training Epoch: 27 [41728/48700]	Loss: 0.5128	LR: 0.020000
Training Epoch: 27 [41984/48700]	Loss: 0.5315	LR: 0.020000
Training Epoch: 27 [42240/48700]	Loss: 0.4500	LR: 0.020000
Training Epoch: 27 [42496/48700]	Loss: 0.5176	LR: 0.020000
Training Epoch: 27 [42752/48700]	Loss: 0.5568	LR: 0.020000
Training Epoch: 27 [43008/48700]	Loss: 0.5330	LR: 0.020000
Training Epoch: 27 [43264/48700]	Loss: 0.4776	LR: 0.020000
Training Epoch: 27 [43520/48700]	Loss: 0.4993	LR: 0.020000
Training Epoch: 27 [43776/48700]	Loss: 0.5884	LR: 0.020000
Training Epoch: 27 [44032/48700]	Loss: 0.5900	LR: 0.020000
Training Epoch: 27 [44288/48700]	Loss: 0.5008	LR: 0.020000
Training Epoch: 27 [44544/48700]	Loss: 0.5977	LR: 0.020000
Training Epoch: 27 [44800/48700]	Loss: 0.5631	LR: 0.020000
Training Epoch: 27 [45056/48700]	Loss: 0.4335	LR: 0.020000
Training Epoch: 27 [45312/48700]	Loss: 0.5028	LR: 0.020000
Training Epoch: 27 [45568/48700]	Loss: 0.5839	LR: 0.020000
Training Epoch: 27 [45824/48700]	Loss: 0.4609	LR: 0.020000
Training Epoch: 27 [46080/48700]	Loss: 0.4610	LR: 0.020000
Training Epoch: 27 [46336/48700]	Loss: 0.5499	LR: 0.020000
Training Epoch: 27 [46592/48700]	Loss: 0.5287	LR: 0.020000
Training Epoch: 27 [46848/48700]	Loss: 0.5975	LR: 0.020000
Training Epoch: 27 [47104/48700]	Loss: 0.5362	LR: 0.020000
Training Epoch: 27 [47360/48700]	Loss: 0.5524	LR: 0.020000
Training Epoch: 27 [47616/48700]	Loss: 0.6015	LR: 0.020000
Training Epoch: 27 [47872/48700]	Loss: 0.5110	LR: 0.020000
Training Epoch: 27 [48128/48700]	Loss: 0.5956	LR: 0.020000
Training Epoch: 27 [48384/48700]	Loss: 0.4293	LR: 0.020000
Training Epoch: 27 [48640/48700]	Loss: 0.5480	LR: 0.020000
Training Epoch: 27 [48700/48700]	Loss: 0.4571	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5238, Train Accuracy: 0.8290
Epoch 27 training time consumed: 26.90s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0037, Accuracy: 0.7304, Time consumed:0.93s
Training Epoch: 28 [256/48700]	Loss: 0.4956	LR: 0.020000
Training Epoch: 28 [512/48700]	Loss: 0.4128	LR: 0.020000
Training Epoch: 28 [768/48700]	Loss: 0.5592	LR: 0.020000
Training Epoch: 28 [1024/48700]	Loss: 0.4306	LR: 0.020000
Training Epoch: 28 [1280/48700]	Loss: 0.5213	LR: 0.020000
Training Epoch: 28 [1536/48700]	Loss: 0.5177	LR: 0.020000
Training Epoch: 28 [1792/48700]	Loss: 0.5293	LR: 0.020000
Training Epoch: 28 [2048/48700]	Loss: 0.4350	LR: 0.020000
Training Epoch: 28 [2304/48700]	Loss: 0.6503	LR: 0.020000
Training Epoch: 28 [2560/48700]	Loss: 0.4952	LR: 0.020000
Training Epoch: 28 [2816/48700]	Loss: 0.4972	LR: 0.020000
Training Epoch: 28 [3072/48700]	Loss: 0.5084	LR: 0.020000
Training Epoch: 28 [3328/48700]	Loss: 0.5338	LR: 0.020000
Training Epoch: 28 [3584/48700]	Loss: 0.5390	LR: 0.020000
Training Epoch: 28 [3840/48700]	Loss: 0.5851	LR: 0.020000
Training Epoch: 28 [4096/48700]	Loss: 0.5526	LR: 0.020000
Training Epoch: 28 [4352/48700]	Loss: 0.4004	LR: 0.020000
Training Epoch: 28 [4608/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 28 [4864/48700]	Loss: 0.5548	LR: 0.020000
Training Epoch: 28 [5120/48700]	Loss: 0.4515	LR: 0.020000
Training Epoch: 28 [5376/48700]	Loss: 0.5645	LR: 0.020000
Training Epoch: 28 [5632/48700]	Loss: 0.4572	LR: 0.020000
Training Epoch: 28 [5888/48700]	Loss: 0.5542	LR: 0.020000
Training Epoch: 28 [6144/48700]	Loss: 0.4501	LR: 0.020000
Training Epoch: 28 [6400/48700]	Loss: 0.5898	LR: 0.020000
Training Epoch: 28 [6656/48700]	Loss: 0.4089	LR: 0.020000
Training Epoch: 28 [6912/48700]	Loss: 0.5175	LR: 0.020000
Training Epoch: 28 [7168/48700]	Loss: 0.6230	LR: 0.020000
Training Epoch: 28 [7424/48700]	Loss: 0.5020	LR: 0.020000
Training Epoch: 28 [7680/48700]	Loss: 0.4934	LR: 0.020000
Training Epoch: 28 [7936/48700]	Loss: 0.3969	LR: 0.020000
Training Epoch: 28 [8192/48700]	Loss: 0.5149	LR: 0.020000
Training Epoch: 28 [8448/48700]	Loss: 0.4830	LR: 0.020000
Training Epoch: 28 [8704/48700]	Loss: 0.4418	LR: 0.020000
Training Epoch: 28 [8960/48700]	Loss: 0.4610	LR: 0.020000
Training Epoch: 28 [9216/48700]	Loss: 0.5729	LR: 0.020000
Training Epoch: 28 [9472/48700]	Loss: 0.4871	LR: 0.020000
Training Epoch: 28 [9728/48700]	Loss: 0.5465	LR: 0.020000
Training Epoch: 28 [9984/48700]	Loss: 0.4844	LR: 0.020000
Training Epoch: 28 [10240/48700]	Loss: 0.5645	LR: 0.020000
Training Epoch: 28 [10496/48700]	Loss: 0.4643	LR: 0.020000
Training Epoch: 28 [10752/48700]	Loss: 0.4218	LR: 0.020000
Training Epoch: 28 [11008/48700]	Loss: 0.4458	LR: 0.020000
Training Epoch: 28 [11264/48700]	Loss: 0.4047	LR: 0.020000
Training Epoch: 28 [11520/48700]	Loss: 0.4330	LR: 0.020000
Training Epoch: 28 [11776/48700]	Loss: 0.5921	LR: 0.020000
Training Epoch: 28 [12032/48700]	Loss: 0.5676	LR: 0.020000
Training Epoch: 28 [12288/48700]	Loss: 0.5052	LR: 0.020000
Training Epoch: 28 [12544/48700]	Loss: 0.5965	LR: 0.020000
Training Epoch: 28 [12800/48700]	Loss: 0.5388	LR: 0.020000
Training Epoch: 28 [13056/48700]	Loss: 0.5896	LR: 0.020000
Training Epoch: 28 [13312/48700]	Loss: 0.5167	LR: 0.020000
Training Epoch: 28 [13568/48700]	Loss: 0.5524	LR: 0.020000
Training Epoch: 28 [13824/48700]	Loss: 0.5824	LR: 0.020000
Training Epoch: 28 [14080/48700]	Loss: 0.4732	LR: 0.020000
Training Epoch: 28 [14336/48700]	Loss: 0.4433	LR: 0.020000
Training Epoch: 28 [14592/48700]	Loss: 0.6295	LR: 0.020000
Training Epoch: 28 [14848/48700]	Loss: 0.5348	LR: 0.020000
Training Epoch: 28 [15104/48700]	Loss: 0.4834	LR: 0.020000
Training Epoch: 28 [15360/48700]	Loss: 0.4900	LR: 0.020000
Training Epoch: 28 [15616/48700]	Loss: 0.4945	LR: 0.020000
Training Epoch: 28 [15872/48700]	Loss: 0.5544	LR: 0.020000
Training Epoch: 28 [16128/48700]	Loss: 0.5322	LR: 0.020000
Training Epoch: 28 [16384/48700]	Loss: 0.6013	LR: 0.020000
Training Epoch: 28 [16640/48700]	Loss: 0.4787	LR: 0.020000
Training Epoch: 28 [16896/48700]	Loss: 0.5400	LR: 0.020000
Training Epoch: 28 [17152/48700]	Loss: 0.4878	LR: 0.020000
Training Epoch: 28 [17408/48700]	Loss: 0.4615	LR: 0.020000
Training Epoch: 28 [17664/48700]	Loss: 0.4107	LR: 0.020000
Training Epoch: 28 [17920/48700]	Loss: 0.5041	LR: 0.020000
Training Epoch: 28 [18176/48700]	Loss: 0.4958	LR: 0.020000
Training Epoch: 28 [18432/48700]	Loss: 0.5524	LR: 0.020000
Training Epoch: 28 [18688/48700]	Loss: 0.5407	LR: 0.020000
Training Epoch: 28 [18944/48700]	Loss: 0.5707	LR: 0.020000
Training Epoch: 28 [19200/48700]	Loss: 0.4729	LR: 0.020000
Training Epoch: 28 [19456/48700]	Loss: 0.4536	LR: 0.020000
Training Epoch: 28 [19712/48700]	Loss: 0.4549	LR: 0.020000
Training Epoch: 28 [19968/48700]	Loss: 0.6439	LR: 0.020000
Training Epoch: 28 [20224/48700]	Loss: 0.5129	LR: 0.020000
Training Epoch: 28 [20480/48700]	Loss: 0.4991	LR: 0.020000
Training Epoch: 28 [20736/48700]	Loss: 0.5092	LR: 0.020000
Training Epoch: 28 [20992/48700]	Loss: 0.3761	LR: 0.020000
Training Epoch: 28 [21248/48700]	Loss: 0.5461	LR: 0.020000
Training Epoch: 28 [21504/48700]	Loss: 0.4207	LR: 0.020000
Training Epoch: 28 [21760/48700]	Loss: 0.4456	LR: 0.020000
Training Epoch: 28 [22016/48700]	Loss: 0.5953	LR: 0.020000
Training Epoch: 28 [22272/48700]	Loss: 0.5013	LR: 0.020000
Training Epoch: 28 [22528/48700]	Loss: 0.5312	LR: 0.020000
Training Epoch: 28 [22784/48700]	Loss: 0.5467	LR: 0.020000
Training Epoch: 28 [23040/48700]	Loss: 0.5516	LR: 0.020000
Training Epoch: 28 [23296/48700]	Loss: 0.5765	LR: 0.020000
Training Epoch: 28 [23552/48700]	Loss: 0.5120	LR: 0.020000
Training Epoch: 28 [23808/48700]	Loss: 0.5410	LR: 0.020000
Training Epoch: 28 [24064/48700]	Loss: 0.5110	LR: 0.020000
Training Epoch: 28 [24320/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 28 [24576/48700]	Loss: 0.5050	LR: 0.020000
Training Epoch: 28 [24832/48700]	Loss: 0.4720	LR: 0.020000
Training Epoch: 28 [25088/48700]	Loss: 0.4437	LR: 0.020000
Training Epoch: 28 [25344/48700]	Loss: 0.5519	LR: 0.020000
Training Epoch: 28 [25600/48700]	Loss: 0.5883	LR: 0.020000
Training Epoch: 28 [25856/48700]	Loss: 0.4922	LR: 0.020000
Training Epoch: 28 [26112/48700]	Loss: 0.4572	LR: 0.020000
Training Epoch: 28 [26368/48700]	Loss: 0.4458	LR: 0.020000
Training Epoch: 28 [26624/48700]	Loss: 0.4916	LR: 0.020000
Training Epoch: 28 [26880/48700]	Loss: 0.5017	LR: 0.020000
Training Epoch: 28 [27136/48700]	Loss: 0.4880	LR: 0.020000
Training Epoch: 28 [27392/48700]	Loss: 0.6082	LR: 0.020000
Training Epoch: 28 [27648/48700]	Loss: 0.5283	LR: 0.020000
Training Epoch: 28 [27904/48700]	Loss: 0.5741	LR: 0.020000
Training Epoch: 28 [28160/48700]	Loss: 0.4831	LR: 0.020000
Training Epoch: 28 [28416/48700]	Loss: 0.6316	LR: 0.020000
Training Epoch: 28 [28672/48700]	Loss: 0.5117	LR: 0.020000
Training Epoch: 28 [28928/48700]	Loss: 0.4753	LR: 0.020000
Training Epoch: 28 [29184/48700]	Loss: 0.4911	LR: 0.020000
Training Epoch: 28 [29440/48700]	Loss: 0.5098	LR: 0.020000
Training Epoch: 28 [29696/48700]	Loss: 0.4813	LR: 0.020000
Training Epoch: 28 [29952/48700]	Loss: 0.5437	LR: 0.020000
Training Epoch: 28 [30208/48700]	Loss: 0.6417	LR: 0.020000
Training Epoch: 28 [30464/48700]	Loss: 0.5419	LR: 0.020000
Training Epoch: 28 [30720/48700]	Loss: 0.5745	LR: 0.020000
Training Epoch: 28 [30976/48700]	Loss: 0.5555	LR: 0.020000
Training Epoch: 28 [31232/48700]	Loss: 0.5264	LR: 0.020000
Training Epoch: 28 [31488/48700]	Loss: 0.5075	LR: 0.020000
Training Epoch: 28 [31744/48700]	Loss: 0.5396	LR: 0.020000
Training Epoch: 28 [32000/48700]	Loss: 0.4809	LR: 0.020000
Training Epoch: 28 [32256/48700]	Loss: 0.5590	LR: 0.020000
Training Epoch: 28 [32512/48700]	Loss: 0.4214	LR: 0.020000
Training Epoch: 28 [32768/48700]	Loss: 0.5322	LR: 0.020000
Training Epoch: 28 [33024/48700]	Loss: 0.6562	LR: 0.020000
Training Epoch: 28 [33280/48700]	Loss: 0.4608	LR: 0.020000
Training Epoch: 28 [33536/48700]	Loss: 0.4855	LR: 0.020000
Training Epoch: 28 [33792/48700]	Loss: 0.5566	LR: 0.020000
Training Epoch: 28 [34048/48700]	Loss: 0.5541	LR: 0.020000
Training Epoch: 28 [34304/48700]	Loss: 0.4546	LR: 0.020000
Training Epoch: 28 [34560/48700]	Loss: 0.4970	LR: 0.020000
Training Epoch: 28 [34816/48700]	Loss: 0.5554	LR: 0.020000
Training Epoch: 28 [35072/48700]	Loss: 0.6094	LR: 0.020000
Training Epoch: 28 [35328/48700]	Loss: 0.5397	LR: 0.020000
Training Epoch: 28 [35584/48700]	Loss: 0.5162	LR: 0.020000
Training Epoch: 28 [35840/48700]	Loss: 0.5884	LR: 0.020000
Training Epoch: 28 [36096/48700]	Loss: 0.6061	LR: 0.020000
Training Epoch: 28 [36352/48700]	Loss: 0.4992	LR: 0.020000
Training Epoch: 28 [36608/48700]	Loss: 0.5665	LR: 0.020000
Training Epoch: 28 [36864/48700]	Loss: 0.5916	LR: 0.020000
Training Epoch: 28 [37120/48700]	Loss: 0.5248	LR: 0.020000
Training Epoch: 28 [37376/48700]	Loss: 0.4768	LR: 0.020000
Training Epoch: 28 [37632/48700]	Loss: 0.5609	LR: 0.020000
Training Epoch: 28 [37888/48700]	Loss: 0.6263	LR: 0.020000
Training Epoch: 28 [38144/48700]	Loss: 0.5741	LR: 0.020000
Training Epoch: 28 [38400/48700]	Loss: 0.6550	LR: 0.020000
Training Epoch: 28 [38656/48700]	Loss: 0.4820	LR: 0.020000
Training Epoch: 28 [38912/48700]	Loss: 0.5413	LR: 0.020000
Training Epoch: 28 [39168/48700]	Loss: 0.4583	LR: 0.020000
Training Epoch: 28 [39424/48700]	Loss: 0.5768	LR: 0.020000
Training Epoch: 28 [39680/48700]	Loss: 0.6103	LR: 0.020000
Training Epoch: 28 [39936/48700]	Loss: 0.4991	LR: 0.020000
Training Epoch: 28 [40192/48700]	Loss: 0.5502	LR: 0.020000
Training Epoch: 28 [40448/48700]	Loss: 0.5667	LR: 0.020000
Training Epoch: 28 [40704/48700]	Loss: 0.3921	LR: 0.020000
Training Epoch: 28 [40960/48700]	Loss: 0.5169	LR: 0.020000
Training Epoch: 28 [41216/48700]	Loss: 0.5144	LR: 0.020000
Training Epoch: 28 [41472/48700]	Loss: 0.4541	LR: 0.020000
Training Epoch: 28 [41728/48700]	Loss: 0.5137	LR: 0.020000
Training Epoch: 28 [41984/48700]	Loss: 0.5017	LR: 0.020000
Training Epoch: 28 [42240/48700]	Loss: 0.5245	LR: 0.020000
Training Epoch: 28 [42496/48700]	Loss: 0.5114	LR: 0.020000
Training Epoch: 28 [42752/48700]	Loss: 0.5107	LR: 0.020000
Training Epoch: 28 [43008/48700]	Loss: 0.3964	LR: 0.020000
Training Epoch: 28 [43264/48700]	Loss: 0.5069	LR: 0.020000
Training Epoch: 28 [43520/48700]	Loss: 0.4492	LR: 0.020000
Training Epoch: 28 [43776/48700]	Loss: 0.4580	LR: 0.020000
Training Epoch: 28 [44032/48700]	Loss: 0.4752	LR: 0.020000
Training Epoch: 28 [44288/48700]	Loss: 0.4591	LR: 0.020000
Training Epoch: 28 [44544/48700]	Loss: 0.4871	LR: 0.020000
Training Epoch: 28 [44800/48700]	Loss: 0.5449	LR: 0.020000
Training Epoch: 28 [45056/48700]	Loss: 0.5803	LR: 0.020000
Training Epoch: 28 [45312/48700]	Loss: 0.5404	LR: 0.020000
Training Epoch: 28 [45568/48700]	Loss: 0.5147	LR: 0.020000
Training Epoch: 28 [45824/48700]	Loss: 0.5215	LR: 0.020000
Training Epoch: 28 [46080/48700]	Loss: 0.6111	LR: 0.020000
Training Epoch: 28 [46336/48700]	Loss: 0.5536	LR: 0.020000
Training Epoch: 28 [46592/48700]	Loss: 0.4940	LR: 0.020000
Training Epoch: 28 [46848/48700]	Loss: 0.5350	LR: 0.020000
Training Epoch: 28 [47104/48700]	Loss: 0.5698	LR: 0.020000
Training Epoch: 28 [47360/48700]	Loss: 0.5298	LR: 0.020000
Training Epoch: 28 [47616/48700]	Loss: 0.4827	LR: 0.020000
Training Epoch: 28 [47872/48700]	Loss: 0.5077	LR: 0.020000
Training Epoch: 28 [48128/48700]	Loss: 0.6056	LR: 0.020000
Training Epoch: 28 [48384/48700]	Loss: 0.5190	LR: 0.020000
Training Epoch: 28 [48640/48700]	Loss: 0.5972	LR: 0.020000
Training Epoch: 28 [48700/48700]	Loss: 0.5548	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5179, Train Accuracy: 0.8297
Epoch 28 training time consumed: 26.84s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0036, Accuracy: 0.7415, Time consumed:0.87s
Training Epoch: 29 [256/48700]	Loss: 0.4091	LR: 0.020000
Training Epoch: 29 [512/48700]	Loss: 0.4255	LR: 0.020000
Training Epoch: 29 [768/48700]	Loss: 0.5795	LR: 0.020000
Training Epoch: 29 [1024/48700]	Loss: 0.4029	LR: 0.020000
Training Epoch: 29 [1280/48700]	Loss: 0.4033	LR: 0.020000
Training Epoch: 29 [1536/48700]	Loss: 0.4908	LR: 0.020000
Training Epoch: 29 [1792/48700]	Loss: 0.4748	LR: 0.020000
Training Epoch: 29 [2048/48700]	Loss: 0.5804	LR: 0.020000
Training Epoch: 29 [2304/48700]	Loss: 0.5378	LR: 0.020000
Training Epoch: 29 [2560/48700]	Loss: 0.4185	LR: 0.020000
Training Epoch: 29 [2816/48700]	Loss: 0.4306	LR: 0.020000
Training Epoch: 29 [3072/48700]	Loss: 0.5748	LR: 0.020000
Training Epoch: 29 [3328/48700]	Loss: 0.5480	LR: 0.020000
Training Epoch: 29 [3584/48700]	Loss: 0.4295	LR: 0.020000
Training Epoch: 29 [3840/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 29 [4096/48700]	Loss: 0.5370	LR: 0.020000
Training Epoch: 29 [4352/48700]	Loss: 0.4915	LR: 0.020000
Training Epoch: 29 [4608/48700]	Loss: 0.5357	LR: 0.020000
Training Epoch: 29 [4864/48700]	Loss: 0.5937	LR: 0.020000
Training Epoch: 29 [5120/48700]	Loss: 0.5766	LR: 0.020000
Training Epoch: 29 [5376/48700]	Loss: 0.4132	LR: 0.020000
Training Epoch: 29 [5632/48700]	Loss: 0.4837	LR: 0.020000
Training Epoch: 29 [5888/48700]	Loss: 0.4870	LR: 0.020000
Training Epoch: 29 [6144/48700]	Loss: 0.3755	LR: 0.020000
Training Epoch: 29 [6400/48700]	Loss: 0.5126	LR: 0.020000
Training Epoch: 29 [6656/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 29 [6912/48700]	Loss: 0.5559	LR: 0.020000
Training Epoch: 29 [7168/48700]	Loss: 0.5559	LR: 0.020000
Training Epoch: 29 [7424/48700]	Loss: 0.5650	LR: 0.020000
Training Epoch: 29 [7680/48700]	Loss: 0.4523	LR: 0.020000
Training Epoch: 29 [7936/48700]	Loss: 0.5498	LR: 0.020000
Training Epoch: 29 [8192/48700]	Loss: 0.5054	LR: 0.020000
Training Epoch: 29 [8448/48700]	Loss: 0.4594	LR: 0.020000
Training Epoch: 29 [8704/48700]	Loss: 0.5648	LR: 0.020000
Training Epoch: 29 [8960/48700]	Loss: 0.4780	LR: 0.020000
Training Epoch: 29 [9216/48700]	Loss: 0.4409	LR: 0.020000
Training Epoch: 29 [9472/48700]	Loss: 0.5366	LR: 0.020000
Training Epoch: 29 [9728/48700]	Loss: 0.5221	LR: 0.020000
Training Epoch: 29 [9984/48700]	Loss: 0.5203	LR: 0.020000
Training Epoch: 29 [10240/48700]	Loss: 0.4682	LR: 0.020000
Training Epoch: 29 [10496/48700]	Loss: 0.4595	LR: 0.020000
Training Epoch: 29 [10752/48700]	Loss: 0.5232	LR: 0.020000
Training Epoch: 29 [11008/48700]	Loss: 0.5164	LR: 0.020000
Training Epoch: 29 [11264/48700]	Loss: 0.4597	LR: 0.020000
Training Epoch: 29 [11520/48700]	Loss: 0.3948	LR: 0.020000
Training Epoch: 29 [11776/48700]	Loss: 0.4748	LR: 0.020000
Training Epoch: 29 [12032/48700]	Loss: 0.4246	LR: 0.020000
Training Epoch: 29 [12288/48700]	Loss: 0.5153	LR: 0.020000
Training Epoch: 29 [12544/48700]	Loss: 0.4996	LR: 0.020000
Training Epoch: 29 [12800/48700]	Loss: 0.4985	LR: 0.020000
Training Epoch: 29 [13056/48700]	Loss: 0.6068	LR: 0.020000
Training Epoch: 29 [13312/48700]	Loss: 0.4787	LR: 0.020000
Training Epoch: 29 [13568/48700]	Loss: 0.5269	LR: 0.020000
Training Epoch: 29 [13824/48700]	Loss: 0.4906	LR: 0.020000
Training Epoch: 29 [14080/48700]	Loss: 0.5416	LR: 0.020000
Training Epoch: 29 [14336/48700]	Loss: 0.5043	LR: 0.020000
Training Epoch: 29 [14592/48700]	Loss: 0.5028	LR: 0.020000
Training Epoch: 29 [14848/48700]	Loss: 0.4716	LR: 0.020000
Training Epoch: 29 [15104/48700]	Loss: 0.5895	LR: 0.020000
Training Epoch: 29 [15360/48700]	Loss: 0.4513	LR: 0.020000
Training Epoch: 29 [15616/48700]	Loss: 0.5629	LR: 0.020000
Training Epoch: 29 [15872/48700]	Loss: 0.6157	LR: 0.020000
Training Epoch: 29 [16128/48700]	Loss: 0.5059	LR: 0.020000
Training Epoch: 29 [16384/48700]	Loss: 0.5100	LR: 0.020000
Training Epoch: 29 [16640/48700]	Loss: 0.6096	LR: 0.020000
Training Epoch: 29 [16896/48700]	Loss: 0.5565	LR: 0.020000
Training Epoch: 29 [17152/48700]	Loss: 0.4389	LR: 0.020000
Training Epoch: 29 [17408/48700]	Loss: 0.5302	LR: 0.020000
Training Epoch: 29 [17664/48700]	Loss: 0.4764	LR: 0.020000
Training Epoch: 29 [17920/48700]	Loss: 0.4907	LR: 0.020000
Training Epoch: 29 [18176/48700]	Loss: 0.4418	LR: 0.020000
Training Epoch: 29 [18432/48700]	Loss: 0.5147	LR: 0.020000
Training Epoch: 29 [18688/48700]	Loss: 0.3607	LR: 0.020000
Training Epoch: 29 [18944/48700]	Loss: 0.5728	LR: 0.020000
Training Epoch: 29 [19200/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 29 [19456/48700]	Loss: 0.6287	LR: 0.020000
Training Epoch: 29 [19712/48700]	Loss: 0.5003	LR: 0.020000
Training Epoch: 29 [19968/48700]	Loss: 0.4764	LR: 0.020000
Training Epoch: 29 [20224/48700]	Loss: 0.4823	LR: 0.020000
Training Epoch: 29 [20480/48700]	Loss: 0.4365	LR: 0.020000
Training Epoch: 29 [20736/48700]	Loss: 0.6138	LR: 0.020000
Training Epoch: 29 [20992/48700]	Loss: 0.4134	LR: 0.020000
Training Epoch: 29 [21248/48700]	Loss: 0.4291	LR: 0.020000
Training Epoch: 29 [21504/48700]	Loss: 0.4877	LR: 0.020000
Training Epoch: 29 [21760/48700]	Loss: 0.5565	LR: 0.020000
Training Epoch: 29 [22016/48700]	Loss: 0.5114	LR: 0.020000
Training Epoch: 29 [22272/48700]	Loss: 0.4878	LR: 0.020000
Training Epoch: 29 [22528/48700]	Loss: 0.4467	LR: 0.020000
Training Epoch: 29 [22784/48700]	Loss: 0.5803	LR: 0.020000
Training Epoch: 29 [23040/48700]	Loss: 0.4208	LR: 0.020000
Training Epoch: 29 [23296/48700]	Loss: 0.6220	LR: 0.020000
Training Epoch: 29 [23552/48700]	Loss: 0.6058	LR: 0.020000
Training Epoch: 29 [23808/48700]	Loss: 0.4669	LR: 0.020000
Training Epoch: 29 [24064/48700]	Loss: 0.5645	LR: 0.020000
Training Epoch: 29 [24320/48700]	Loss: 0.4820	LR: 0.020000
Training Epoch: 29 [24576/48700]	Loss: 0.4651	LR: 0.020000
Training Epoch: 29 [24832/48700]	Loss: 0.5278	LR: 0.020000
Training Epoch: 29 [25088/48700]	Loss: 0.5415	LR: 0.020000
Training Epoch: 29 [25344/48700]	Loss: 0.4285	LR: 0.020000
Training Epoch: 29 [25600/48700]	Loss: 0.5503	LR: 0.020000
Training Epoch: 29 [25856/48700]	Loss: 0.4846	LR: 0.020000
Training Epoch: 29 [26112/48700]	Loss: 0.4982	LR: 0.020000
Training Epoch: 29 [26368/48700]	Loss: 0.5150	LR: 0.020000
Training Epoch: 29 [26624/48700]	Loss: 0.5789	LR: 0.020000
Training Epoch: 29 [26880/48700]	Loss: 0.4833	LR: 0.020000
Training Epoch: 29 [27136/48700]	Loss: 0.5230	LR: 0.020000
Training Epoch: 29 [27392/48700]	Loss: 0.4963	LR: 0.020000
Training Epoch: 29 [27648/48700]	Loss: 0.5447	LR: 0.020000
Training Epoch: 29 [27904/48700]	Loss: 0.4609	LR: 0.020000
Training Epoch: 29 [28160/48700]	Loss: 0.5659	LR: 0.020000
Training Epoch: 29 [28416/48700]	Loss: 0.5070	LR: 0.020000
Training Epoch: 29 [28672/48700]	Loss: 0.5432	LR: 0.020000
Training Epoch: 29 [28928/48700]	Loss: 0.4483	LR: 0.020000
Training Epoch: 29 [29184/48700]	Loss: 0.5186	LR: 0.020000
Training Epoch: 29 [29440/48700]	Loss: 0.5321	LR: 0.020000
Training Epoch: 29 [29696/48700]	Loss: 0.4852	LR: 0.020000
Training Epoch: 29 [29952/48700]	Loss: 0.6232	LR: 0.020000
Training Epoch: 29 [30208/48700]	Loss: 0.6737	LR: 0.020000
Training Epoch: 29 [30464/48700]	Loss: 0.5858	LR: 0.020000
Training Epoch: 29 [30720/48700]	Loss: 0.5203	LR: 0.020000
Training Epoch: 29 [30976/48700]	Loss: 0.5191	LR: 0.020000
Training Epoch: 29 [31232/48700]	Loss: 0.4254	LR: 0.020000
Training Epoch: 29 [31488/48700]	Loss: 0.5457	LR: 0.020000
Training Epoch: 29 [31744/48700]	Loss: 0.5715	LR: 0.020000
Training Epoch: 29 [32000/48700]	Loss: 0.4915	LR: 0.020000
Training Epoch: 29 [32256/48700]	Loss: 0.4926	LR: 0.020000
Training Epoch: 29 [32512/48700]	Loss: 0.5526	LR: 0.020000
Training Epoch: 29 [32768/48700]	Loss: 0.5646	LR: 0.020000
Training Epoch: 29 [33024/48700]	Loss: 0.4679	LR: 0.020000
Training Epoch: 29 [33280/48700]	Loss: 0.6224	LR: 0.020000
Training Epoch: 29 [33536/48700]	Loss: 0.5790	LR: 0.020000
Training Epoch: 29 [33792/48700]	Loss: 0.5494	LR: 0.020000
Training Epoch: 29 [34048/48700]	Loss: 0.4380	LR: 0.020000
Training Epoch: 29 [34304/48700]	Loss: 0.4317	LR: 0.020000
Training Epoch: 29 [34560/48700]	Loss: 0.4844	LR: 0.020000
Training Epoch: 29 [34816/48700]	Loss: 0.5153	LR: 0.020000
Training Epoch: 29 [35072/48700]	Loss: 0.4891	LR: 0.020000
Training Epoch: 29 [35328/48700]	Loss: 0.5458	LR: 0.020000
Training Epoch: 29 [35584/48700]	Loss: 0.6043	LR: 0.020000
Training Epoch: 29 [35840/48700]	Loss: 0.4646	LR: 0.020000
Training Epoch: 29 [36096/48700]	Loss: 0.5302	LR: 0.020000
Training Epoch: 29 [36352/48700]	Loss: 0.6042	LR: 0.020000
Training Epoch: 29 [36608/48700]	Loss: 0.5379	LR: 0.020000
Training Epoch: 29 [36864/48700]	Loss: 0.5033	LR: 0.020000
Training Epoch: 29 [37120/48700]	Loss: 0.5180	LR: 0.020000
Training Epoch: 29 [37376/48700]	Loss: 0.4845	LR: 0.020000
Training Epoch: 29 [37632/48700]	Loss: 0.5355	LR: 0.020000
Training Epoch: 29 [37888/48700]	Loss: 0.4898	LR: 0.020000
Training Epoch: 29 [38144/48700]	Loss: 0.5237	LR: 0.020000
Training Epoch: 29 [38400/48700]	Loss: 0.5201	LR: 0.020000
Training Epoch: 29 [38656/48700]	Loss: 0.4602	LR: 0.020000
Training Epoch: 29 [38912/48700]	Loss: 0.5399	LR: 0.020000
Training Epoch: 29 [39168/48700]	Loss: 0.4837	LR: 0.020000
Training Epoch: 29 [39424/48700]	Loss: 0.5984	LR: 0.020000
Training Epoch: 29 [39680/48700]	Loss: 0.4794	LR: 0.020000
Training Epoch: 29 [39936/48700]	Loss: 0.6630	LR: 0.020000
Training Epoch: 29 [40192/48700]	Loss: 0.5230	LR: 0.020000
Training Epoch: 29 [40448/48700]	Loss: 0.5015	LR: 0.020000
Training Epoch: 29 [40704/48700]	Loss: 0.5922	LR: 0.020000
Training Epoch: 29 [40960/48700]	Loss: 0.5970	LR: 0.020000
Training Epoch: 29 [41216/48700]	Loss: 0.5582	LR: 0.020000
Training Epoch: 29 [41472/48700]	Loss: 0.5457	LR: 0.020000
Training Epoch: 29 [41728/48700]	Loss: 0.5295	LR: 0.020000
Training Epoch: 29 [41984/48700]	Loss: 0.5333	LR: 0.020000
Training Epoch: 29 [42240/48700]	Loss: 0.4935	LR: 0.020000
Training Epoch: 29 [42496/48700]	Loss: 0.5384	LR: 0.020000
Training Epoch: 29 [42752/48700]	Loss: 0.4793	LR: 0.020000
Training Epoch: 29 [43008/48700]	Loss: 0.6440	LR: 0.020000
Training Epoch: 29 [43264/48700]	Loss: 0.4774	LR: 0.020000
Training Epoch: 29 [43520/48700]	Loss: 0.4257	LR: 0.020000
Training Epoch: 29 [43776/48700]	Loss: 0.5597	LR: 0.020000
Training Epoch: 29 [44032/48700]	Loss: 0.4188	LR: 0.020000
Training Epoch: 29 [44288/48700]	Loss: 0.5699	LR: 0.020000
Training Epoch: 29 [44544/48700]	Loss: 0.4928	LR: 0.020000
Training Epoch: 29 [44800/48700]	Loss: 0.5662	LR: 0.020000
Training Epoch: 29 [45056/48700]	Loss: 0.4490	LR: 0.020000
Training Epoch: 29 [45312/48700]	Loss: 0.5761	LR: 0.020000
Training Epoch: 29 [45568/48700]	Loss: 0.4611	LR: 0.020000
Training Epoch: 29 [45824/48700]	Loss: 0.6251	LR: 0.020000
Training Epoch: 29 [46080/48700]	Loss: 0.5192	LR: 0.020000
Training Epoch: 29 [46336/48700]	Loss: 0.6041	LR: 0.020000
Training Epoch: 29 [46592/48700]	Loss: 0.6746	LR: 0.020000
Training Epoch: 29 [46848/48700]	Loss: 0.5801	LR: 0.020000
Training Epoch: 29 [47104/48700]	Loss: 0.5856	LR: 0.020000
Training Epoch: 29 [47360/48700]	Loss: 0.5546	LR: 0.020000
Training Epoch: 29 [47616/48700]	Loss: 0.3918	LR: 0.020000
Training Epoch: 29 [47872/48700]	Loss: 0.4698	LR: 0.020000
Training Epoch: 29 [48128/48700]	Loss: 0.5930	LR: 0.020000
Training Epoch: 29 [48384/48700]	Loss: 0.3927	LR: 0.020000
Training Epoch: 29 [48640/48700]	Loss: 0.5843	LR: 0.020000
Training Epoch: 29 [48700/48700]	Loss: 0.7218	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5134, Train Accuracy: 0.8333
Epoch 29 training time consumed: 26.68s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0035, Accuracy: 0.7440, Time consumed:0.97s
Training Epoch: 30 [256/48700]	Loss: 0.4324	LR: 0.004000
Training Epoch: 30 [512/48700]	Loss: 0.5076	LR: 0.004000
Training Epoch: 30 [768/48700]	Loss: 0.5182	LR: 0.004000
Training Epoch: 30 [1024/48700]	Loss: 0.4580	LR: 0.004000
Training Epoch: 30 [1280/48700]	Loss: 0.4793	LR: 0.004000
Training Epoch: 30 [1536/48700]	Loss: 0.4497	LR: 0.004000
Training Epoch: 30 [1792/48700]	Loss: 0.4835	LR: 0.004000
Training Epoch: 30 [2048/48700]	Loss: 0.4615	LR: 0.004000
Training Epoch: 30 [2304/48700]	Loss: 0.4698	LR: 0.004000
Training Epoch: 30 [2560/48700]	Loss: 0.4531	LR: 0.004000
Training Epoch: 30 [2816/48700]	Loss: 0.4560	LR: 0.004000
Training Epoch: 30 [3072/48700]	Loss: 0.5058	LR: 0.004000
Training Epoch: 30 [3328/48700]	Loss: 0.4562	LR: 0.004000
Training Epoch: 30 [3584/48700]	Loss: 0.3469	LR: 0.004000
Training Epoch: 30 [3840/48700]	Loss: 0.4502	LR: 0.004000
Training Epoch: 30 [4096/48700]	Loss: 0.3443	LR: 0.004000
Training Epoch: 30 [4352/48700]	Loss: 0.4653	LR: 0.004000
Training Epoch: 30 [4608/48700]	Loss: 0.3899	LR: 0.004000
Training Epoch: 30 [4864/48700]	Loss: 0.4951	LR: 0.004000
Training Epoch: 30 [5120/48700]	Loss: 0.3712	LR: 0.004000
Training Epoch: 30 [5376/48700]	Loss: 0.4306	LR: 0.004000
Training Epoch: 30 [5632/48700]	Loss: 0.3329	LR: 0.004000
Training Epoch: 30 [5888/48700]	Loss: 0.4412	LR: 0.004000
Training Epoch: 30 [6144/48700]	Loss: 0.4441	LR: 0.004000
Training Epoch: 30 [6400/48700]	Loss: 0.4136	LR: 0.004000
Training Epoch: 30 [6656/48700]	Loss: 0.4180	LR: 0.004000
Training Epoch: 30 [6912/48700]	Loss: 0.3706	LR: 0.004000
Training Epoch: 30 [7168/48700]	Loss: 0.3649	LR: 0.004000
Training Epoch: 30 [7424/48700]	Loss: 0.3590	LR: 0.004000
Training Epoch: 30 [7680/48700]	Loss: 0.3914	LR: 0.004000
Training Epoch: 30 [7936/48700]	Loss: 0.4846	LR: 0.004000
Training Epoch: 30 [8192/48700]	Loss: 0.3672	LR: 0.004000
Training Epoch: 30 [8448/48700]	Loss: 0.4052	LR: 0.004000
Training Epoch: 30 [8704/48700]	Loss: 0.4882	LR: 0.004000
Training Epoch: 30 [8960/48700]	Loss: 0.3652	LR: 0.004000
Training Epoch: 30 [9216/48700]	Loss: 0.3127	LR: 0.004000
Training Epoch: 30 [9472/48700]	Loss: 0.3406	LR: 0.004000
Training Epoch: 30 [9728/48700]	Loss: 0.4174	LR: 0.004000
Training Epoch: 30 [9984/48700]	Loss: 0.3822	LR: 0.004000
Training Epoch: 30 [10240/48700]	Loss: 0.4787	LR: 0.004000
Training Epoch: 30 [10496/48700]	Loss: 0.4940	LR: 0.004000
Training Epoch: 30 [10752/48700]	Loss: 0.3680	LR: 0.004000
Training Epoch: 30 [11008/48700]	Loss: 0.4318	LR: 0.004000
Training Epoch: 30 [11264/48700]	Loss: 0.4774	LR: 0.004000
Training Epoch: 30 [11520/48700]	Loss: 0.4167	LR: 0.004000
Training Epoch: 30 [11776/48700]	Loss: 0.3858	LR: 0.004000
Training Epoch: 30 [12032/48700]	Loss: 0.4293	LR: 0.004000
Training Epoch: 30 [12288/48700]	Loss: 0.3143	LR: 0.004000
Training Epoch: 30 [12544/48700]	Loss: 0.4369	LR: 0.004000
Training Epoch: 30 [12800/48700]	Loss: 0.4110	LR: 0.004000
Training Epoch: 30 [13056/48700]	Loss: 0.3891	LR: 0.004000
Training Epoch: 30 [13312/48700]	Loss: 0.3894	LR: 0.004000
Training Epoch: 30 [13568/48700]	Loss: 0.4196	LR: 0.004000
Training Epoch: 30 [13824/48700]	Loss: 0.4087	LR: 0.004000
Training Epoch: 30 [14080/48700]	Loss: 0.4007	LR: 0.004000
Training Epoch: 30 [14336/48700]	Loss: 0.4514	LR: 0.004000
Training Epoch: 30 [14592/48700]	Loss: 0.4199	LR: 0.004000
Training Epoch: 30 [14848/48700]	Loss: 0.4106	LR: 0.004000
Training Epoch: 30 [15104/48700]	Loss: 0.5513	LR: 0.004000
Training Epoch: 30 [15360/48700]	Loss: 0.4614	LR: 0.004000
Training Epoch: 30 [15616/48700]	Loss: 0.3779	LR: 0.004000
Training Epoch: 30 [15872/48700]	Loss: 0.4678	LR: 0.004000
Training Epoch: 30 [16128/48700]	Loss: 0.4490	LR: 0.004000
Training Epoch: 30 [16384/48700]	Loss: 0.3853	LR: 0.004000
Training Epoch: 30 [16640/48700]	Loss: 0.2863	LR: 0.004000
Training Epoch: 30 [16896/48700]	Loss: 0.4118	LR: 0.004000
Training Epoch: 30 [17152/48700]	Loss: 0.4544	LR: 0.004000
Training Epoch: 30 [17408/48700]	Loss: 0.4589	LR: 0.004000
Training Epoch: 30 [17664/48700]	Loss: 0.4767	LR: 0.004000
Training Epoch: 30 [17920/48700]	Loss: 0.4027	LR: 0.004000
Training Epoch: 30 [18176/48700]	Loss: 0.4384	LR: 0.004000
Training Epoch: 30 [18432/48700]	Loss: 0.3190	LR: 0.004000
Training Epoch: 30 [18688/48700]	Loss: 0.4173	LR: 0.004000
Training Epoch: 30 [18944/48700]	Loss: 0.4290	LR: 0.004000
Training Epoch: 30 [19200/48700]	Loss: 0.4233	LR: 0.004000
Training Epoch: 30 [19456/48700]	Loss: 0.4142	LR: 0.004000
Training Epoch: 30 [19712/48700]	Loss: 0.3860	LR: 0.004000
Training Epoch: 30 [19968/48700]	Loss: 0.4078	LR: 0.004000
Training Epoch: 30 [20224/48700]	Loss: 0.4268	LR: 0.004000
Training Epoch: 30 [20480/48700]	Loss: 0.4033	LR: 0.004000
Training Epoch: 30 [20736/48700]	Loss: 0.3776	LR: 0.004000
Training Epoch: 30 [20992/48700]	Loss: 0.3205	LR: 0.004000
Training Epoch: 30 [21248/48700]	Loss: 0.3241	LR: 0.004000
Training Epoch: 30 [21504/48700]	Loss: 0.3704	LR: 0.004000
Training Epoch: 30 [21760/48700]	Loss: 0.3107	LR: 0.004000
Training Epoch: 30 [22016/48700]	Loss: 0.3890	LR: 0.004000
Training Epoch: 30 [22272/48700]	Loss: 0.4514	LR: 0.004000
Training Epoch: 30 [22528/48700]	Loss: 0.3997	LR: 0.004000
Training Epoch: 30 [22784/48700]	Loss: 0.2960	LR: 0.004000
Training Epoch: 30 [23040/48700]	Loss: 0.3178	LR: 0.004000
Training Epoch: 30 [23296/48700]	Loss: 0.3882	LR: 0.004000
Training Epoch: 30 [23552/48700]	Loss: 0.3933	LR: 0.004000
Training Epoch: 30 [23808/48700]	Loss: 0.3718	LR: 0.004000
Training Epoch: 30 [24064/48700]	Loss: 0.3720	LR: 0.004000
Training Epoch: 30 [24320/48700]	Loss: 0.3563	LR: 0.004000
Training Epoch: 30 [24576/48700]	Loss: 0.4638	LR: 0.004000
Training Epoch: 30 [24832/48700]	Loss: 0.4253	LR: 0.004000
Training Epoch: 30 [25088/48700]	Loss: 0.3674	LR: 0.004000
Training Epoch: 30 [25344/48700]	Loss: 0.3476	LR: 0.004000
Training Epoch: 30 [25600/48700]	Loss: 0.4047	LR: 0.004000
Training Epoch: 30 [25856/48700]	Loss: 0.2791	LR: 0.004000
Training Epoch: 30 [26112/48700]	Loss: 0.3704	LR: 0.004000
Training Epoch: 30 [26368/48700]	Loss: 0.4053	LR: 0.004000
Training Epoch: 30 [26624/48700]	Loss: 0.3161	LR: 0.004000
Training Epoch: 30 [26880/48700]	Loss: 0.3153	LR: 0.004000
Training Epoch: 30 [27136/48700]	Loss: 0.5011	LR: 0.004000
Training Epoch: 30 [27392/48700]	Loss: 0.3883	LR: 0.004000
Training Epoch: 30 [27648/48700]	Loss: 0.3695	LR: 0.004000
Training Epoch: 30 [27904/48700]	Loss: 0.4201	LR: 0.004000
Training Epoch: 30 [28160/48700]	Loss: 0.4056	LR: 0.004000
Training Epoch: 30 [28416/48700]	Loss: 0.4097	LR: 0.004000
Training Epoch: 30 [28672/48700]	Loss: 0.3615	LR: 0.004000
Training Epoch: 30 [28928/48700]	Loss: 0.4118	LR: 0.004000
Training Epoch: 30 [29184/48700]	Loss: 0.3890	LR: 0.004000
Training Epoch: 30 [29440/48700]	Loss: 0.3523	LR: 0.004000
Training Epoch: 30 [29696/48700]	Loss: 0.3813	LR: 0.004000
Training Epoch: 30 [29952/48700]	Loss: 0.4009	LR: 0.004000
Training Epoch: 30 [30208/48700]	Loss: 0.3295	LR: 0.004000
Training Epoch: 30 [30464/48700]	Loss: 0.3848	LR: 0.004000
Training Epoch: 30 [30720/48700]	Loss: 0.3765	LR: 0.004000
Training Epoch: 30 [30976/48700]	Loss: 0.4027	LR: 0.004000
Training Epoch: 30 [31232/48700]	Loss: 0.3127	LR: 0.004000
Training Epoch: 30 [31488/48700]	Loss: 0.4330	LR: 0.004000
Training Epoch: 30 [31744/48700]	Loss: 0.3256	LR: 0.004000
Training Epoch: 30 [32000/48700]	Loss: 0.4276	LR: 0.004000
Training Epoch: 30 [32256/48700]	Loss: 0.4185	LR: 0.004000
Training Epoch: 30 [32512/48700]	Loss: 0.3332	LR: 0.004000
Training Epoch: 30 [32768/48700]	Loss: 0.3913	LR: 0.004000
Training Epoch: 30 [33024/48700]	Loss: 0.3521	LR: 0.004000
Training Epoch: 30 [33280/48700]	Loss: 0.3380	LR: 0.004000
Training Epoch: 30 [33536/48700]	Loss: 0.3988	LR: 0.004000
Training Epoch: 30 [33792/48700]	Loss: 0.3495	LR: 0.004000
Training Epoch: 30 [34048/48700]	Loss: 0.3932	LR: 0.004000
Training Epoch: 30 [34304/48700]	Loss: 0.3774	LR: 0.004000
Training Epoch: 30 [34560/48700]	Loss: 0.3688	LR: 0.004000
Training Epoch: 30 [34816/48700]	Loss: 0.3970	LR: 0.004000
Training Epoch: 30 [35072/48700]	Loss: 0.3199	LR: 0.004000
Training Epoch: 30 [35328/48700]	Loss: 0.3305	LR: 0.004000
Training Epoch: 30 [35584/48700]	Loss: 0.3340	LR: 0.004000
Training Epoch: 30 [35840/48700]	Loss: 0.3757	LR: 0.004000
Training Epoch: 30 [36096/48700]	Loss: 0.3715	LR: 0.004000
Training Epoch: 30 [36352/48700]	Loss: 0.3883	LR: 0.004000
Training Epoch: 30 [36608/48700]	Loss: 0.3491	LR: 0.004000
Training Epoch: 30 [36864/48700]	Loss: 0.3957	LR: 0.004000
Training Epoch: 30 [37120/48700]	Loss: 0.3865	LR: 0.004000
Training Epoch: 30 [37376/48700]	Loss: 0.3922	LR: 0.004000
Training Epoch: 30 [37632/48700]	Loss: 0.3532	LR: 0.004000
Training Epoch: 30 [37888/48700]	Loss: 0.4175	LR: 0.004000
Training Epoch: 30 [38144/48700]	Loss: 0.3862	LR: 0.004000
Training Epoch: 30 [38400/48700]	Loss: 0.3682	LR: 0.004000
Training Epoch: 30 [38656/48700]	Loss: 0.4127	LR: 0.004000
Training Epoch: 30 [38912/48700]	Loss: 0.3546	LR: 0.004000
Training Epoch: 30 [39168/48700]	Loss: 0.3801	LR: 0.004000
Training Epoch: 30 [39424/48700]	Loss: 0.3530	LR: 0.004000
Training Epoch: 30 [39680/48700]	Loss: 0.4436	LR: 0.004000
Training Epoch: 30 [39936/48700]	Loss: 0.4307	LR: 0.004000
Training Epoch: 30 [40192/48700]	Loss: 0.3591	LR: 0.004000
Training Epoch: 30 [40448/48700]	Loss: 0.4114	LR: 0.004000
Training Epoch: 30 [40704/48700]	Loss: 0.3681	LR: 0.004000
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Training Epoch: 30 [43264/48700]	Loss: 0.3603	LR: 0.004000
Training Epoch: 30 [43520/48700]	Loss: 0.3928	LR: 0.004000
Training Epoch: 30 [43776/48700]	Loss: 0.4010	LR: 0.004000
Training Epoch: 30 [44032/48700]	Loss: 0.2935	LR: 0.004000
Training Epoch: 30 [44288/48700]	Loss: 0.3646	LR: 0.004000
Training Epoch: 30 [44544/48700]	Loss: 0.4547	LR: 0.004000
Training Epoch: 30 [44800/48700]	Loss: 0.4253	LR: 0.004000
Training Epoch: 30 [45056/48700]	Loss: 0.4331	LR: 0.004000
Training Epoch: 30 [45312/48700]	Loss: 0.3441	LR: 0.004000
Training Epoch: 30 [45568/48700]	Loss: 0.3556	LR: 0.004000
Training Epoch: 30 [45824/48700]	Loss: 0.3902	LR: 0.004000
Training Epoch: 30 [46080/48700]	Loss: 0.3902	LR: 0.004000
Training Epoch: 30 [46336/48700]	Loss: 0.3719	LR: 0.004000
Training Epoch: 30 [46592/48700]	Loss: 0.4395	LR: 0.004000
Training Epoch: 30 [46848/48700]	Loss: 0.3662	LR: 0.004000
Training Epoch: 30 [47104/48700]	Loss: 0.3174	LR: 0.004000
Training Epoch: 30 [47360/48700]	Loss: 0.4344	LR: 0.004000
Training Epoch: 30 [47616/48700]	Loss: 0.3420	LR: 0.004000
Training Epoch: 30 [47872/48700]	Loss: 0.3661	LR: 0.004000
Training Epoch: 30 [48128/48700]	Loss: 0.4531	LR: 0.004000
Training Epoch: 30 [48384/48700]	Loss: 0.3861	LR: 0.004000
Training Epoch: 30 [48640/48700]	Loss: 0.3852	LR: 0.004000
Training Epoch: 30 [48700/48700]	Loss: 0.4126	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3966, Train Accuracy: 0.8757
Epoch 30 training time consumed: 26.84s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0029, Accuracy: 0.7802, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-30-best.pth
Training Epoch: 31 [256/48700]	Loss: 0.3855	LR: 0.004000
Training Epoch: 31 [512/48700]	Loss: 0.3117	LR: 0.004000
Training Epoch: 31 [768/48700]	Loss: 0.3764	LR: 0.004000
Training Epoch: 31 [1024/48700]	Loss: 0.4084	LR: 0.004000
Training Epoch: 31 [1280/48700]	Loss: 0.4096	LR: 0.004000
Training Epoch: 31 [1536/48700]	Loss: 0.2854	LR: 0.004000
Training Epoch: 31 [1792/48700]	Loss: 0.3840	LR: 0.004000
Training Epoch: 31 [2048/48700]	Loss: 0.3287	LR: 0.004000
Training Epoch: 31 [2304/48700]	Loss: 0.3208	LR: 0.004000
Training Epoch: 31 [2560/48700]	Loss: 0.3772	LR: 0.004000
Training Epoch: 31 [2816/48700]	Loss: 0.4270	LR: 0.004000
Training Epoch: 31 [3072/48700]	Loss: 0.3355	LR: 0.004000
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Training Epoch: 31 [4352/48700]	Loss: 0.2836	LR: 0.004000
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Training Epoch: 31 [37376/48700]	Loss: 0.3583	LR: 0.004000
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Training Epoch: 31 [45056/48700]	Loss: 0.3365	LR: 0.004000
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Training Epoch: 31 [45568/48700]	Loss: 0.3056	LR: 0.004000
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Training Epoch: 31 [46080/48700]	Loss: 0.3852	LR: 0.004000
Training Epoch: 31 [46336/48700]	Loss: 0.3484	LR: 0.004000
Training Epoch: 31 [46592/48700]	Loss: 0.3453	LR: 0.004000
Training Epoch: 31 [46848/48700]	Loss: 0.4122	LR: 0.004000
Training Epoch: 31 [47104/48700]	Loss: 0.4020	LR: 0.004000
Training Epoch: 31 [47360/48700]	Loss: 0.3218	LR: 0.004000
Training Epoch: 31 [47616/48700]	Loss: 0.4123	LR: 0.004000
Training Epoch: 31 [47872/48700]	Loss: 0.3161	LR: 0.004000
Training Epoch: 31 [48128/48700]	Loss: 0.3838	LR: 0.004000
Training Epoch: 31 [48384/48700]	Loss: 0.4023	LR: 0.004000
Training Epoch: 31 [48640/48700]	Loss: 0.3804	LR: 0.004000
Training Epoch: 31 [48700/48700]	Loss: 0.3606	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3565, Train Accuracy: 0.8903
Epoch 31 training time consumed: 26.79s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0029, Accuracy: 0.7827, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-31-best.pth
Training Epoch: 32 [256/48700]	Loss: 0.3081	LR: 0.004000
Training Epoch: 32 [512/48700]	Loss: 0.3017	LR: 0.004000
Training Epoch: 32 [768/48700]	Loss: 0.3620	LR: 0.004000
Training Epoch: 32 [1024/48700]	Loss: 0.3279	LR: 0.004000
Training Epoch: 32 [1280/48700]	Loss: 0.2823	LR: 0.004000
Training Epoch: 32 [1536/48700]	Loss: 0.4108	LR: 0.004000
Training Epoch: 32 [1792/48700]	Loss: 0.3164	LR: 0.004000
Training Epoch: 32 [2048/48700]	Loss: 0.3714	LR: 0.004000
Training Epoch: 32 [2304/48700]	Loss: 0.3242	LR: 0.004000
Training Epoch: 32 [2560/48700]	Loss: 0.3646	LR: 0.004000
Training Epoch: 32 [2816/48700]	Loss: 0.3249	LR: 0.004000
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Training Epoch: 32 [14592/48700]	Loss: 0.3462	LR: 0.004000
Training Epoch: 32 [14848/48700]	Loss: 0.2976	LR: 0.004000
Training Epoch: 32 [15104/48700]	Loss: 0.3041	LR: 0.004000
Training Epoch: 32 [15360/48700]	Loss: 0.2924	LR: 0.004000
Training Epoch: 32 [15616/48700]	Loss: 0.4004	LR: 0.004000
Training Epoch: 32 [15872/48700]	Loss: 0.3188	LR: 0.004000
Training Epoch: 32 [16128/48700]	Loss: 0.3535	LR: 0.004000
Training Epoch: 32 [16384/48700]	Loss: 0.3249	LR: 0.004000
Training Epoch: 32 [16640/48700]	Loss: 0.3423	LR: 0.004000
Training Epoch: 32 [16896/48700]	Loss: 0.3300	LR: 0.004000
Training Epoch: 32 [17152/48700]	Loss: 0.3072	LR: 0.004000
Training Epoch: 32 [17408/48700]	Loss: 0.3780	LR: 0.004000
Training Epoch: 32 [17664/48700]	Loss: 0.3569	LR: 0.004000
Training Epoch: 32 [17920/48700]	Loss: 0.4076	LR: 0.004000
Training Epoch: 32 [18176/48700]	Loss: 0.3398	LR: 0.004000
Training Epoch: 32 [18432/48700]	Loss: 0.2798	LR: 0.004000
Training Epoch: 32 [18688/48700]	Loss: 0.4366	LR: 0.004000
Training Epoch: 32 [18944/48700]	Loss: 0.3550	LR: 0.004000
Training Epoch: 32 [19200/48700]	Loss: 0.3261	LR: 0.004000
Training Epoch: 32 [19456/48700]	Loss: 0.3534	LR: 0.004000
Training Epoch: 32 [19712/48700]	Loss: 0.3550	LR: 0.004000
Training Epoch: 32 [19968/48700]	Loss: 0.2587	LR: 0.004000
Training Epoch: 32 [20224/48700]	Loss: 0.3579	LR: 0.004000
Training Epoch: 32 [20480/48700]	Loss: 0.3121	LR: 0.004000
Training Epoch: 32 [20736/48700]	Loss: 0.3419	LR: 0.004000
Training Epoch: 32 [20992/48700]	Loss: 0.3791	LR: 0.004000
Training Epoch: 32 [21248/48700]	Loss: 0.3894	LR: 0.004000
Training Epoch: 32 [21504/48700]	Loss: 0.4300	LR: 0.004000
Training Epoch: 32 [21760/48700]	Loss: 0.3212	LR: 0.004000
Training Epoch: 32 [22016/48700]	Loss: 0.2648	LR: 0.004000
Training Epoch: 32 [22272/48700]	Loss: 0.3718	LR: 0.004000
Training Epoch: 32 [22528/48700]	Loss: 0.3135	LR: 0.004000
Training Epoch: 32 [22784/48700]	Loss: 0.3931	LR: 0.004000
Training Epoch: 32 [23040/48700]	Loss: 0.3408	LR: 0.004000
Training Epoch: 32 [23296/48700]	Loss: 0.3402	LR: 0.004000
Training Epoch: 32 [23552/48700]	Loss: 0.3589	LR: 0.004000
Training Epoch: 32 [23808/48700]	Loss: 0.3003	LR: 0.004000
Training Epoch: 32 [24064/48700]	Loss: 0.4824	LR: 0.004000
Training Epoch: 32 [24320/48700]	Loss: 0.2629	LR: 0.004000
Training Epoch: 32 [24576/48700]	Loss: 0.2963	LR: 0.004000
Training Epoch: 32 [24832/48700]	Loss: 0.3791	LR: 0.004000
Training Epoch: 32 [25088/48700]	Loss: 0.3291	LR: 0.004000
Training Epoch: 32 [25344/48700]	Loss: 0.3149	LR: 0.004000
Training Epoch: 32 [25600/48700]	Loss: 0.3277	LR: 0.004000
Training Epoch: 32 [25856/48700]	Loss: 0.3534	LR: 0.004000
Training Epoch: 32 [26112/48700]	Loss: 0.3583	LR: 0.004000
Training Epoch: 32 [26368/48700]	Loss: 0.3238	LR: 0.004000
Training Epoch: 32 [26624/48700]	Loss: 0.3424	LR: 0.004000
Training Epoch: 32 [26880/48700]	Loss: 0.3636	LR: 0.004000
Training Epoch: 32 [27136/48700]	Loss: 0.2787	LR: 0.004000
Training Epoch: 32 [27392/48700]	Loss: 0.3799	LR: 0.004000
Training Epoch: 32 [27648/48700]	Loss: 0.4102	LR: 0.004000
Training Epoch: 32 [27904/48700]	Loss: 0.3796	LR: 0.004000
Training Epoch: 32 [28160/48700]	Loss: 0.3721	LR: 0.004000
Training Epoch: 32 [28416/48700]	Loss: 0.3008	LR: 0.004000
Training Epoch: 32 [28672/48700]	Loss: 0.3848	LR: 0.004000
Training Epoch: 32 [28928/48700]	Loss: 0.2963	LR: 0.004000
Training Epoch: 32 [29184/48700]	Loss: 0.3056	LR: 0.004000
Training Epoch: 32 [29440/48700]	Loss: 0.4113	LR: 0.004000
Training Epoch: 32 [29696/48700]	Loss: 0.2827	LR: 0.004000
Training Epoch: 32 [29952/48700]	Loss: 0.3064	LR: 0.004000
Training Epoch: 32 [30208/48700]	Loss: 0.3081	LR: 0.004000
Training Epoch: 32 [30464/48700]	Loss: 0.3191	LR: 0.004000
Training Epoch: 32 [30720/48700]	Loss: 0.2922	LR: 0.004000
Training Epoch: 32 [30976/48700]	Loss: 0.3380	LR: 0.004000
Training Epoch: 32 [31232/48700]	Loss: 0.3143	LR: 0.004000
Training Epoch: 32 [31488/48700]	Loss: 0.3782	LR: 0.004000
Training Epoch: 32 [31744/48700]	Loss: 0.3121	LR: 0.004000
Training Epoch: 32 [32000/48700]	Loss: 0.3894	LR: 0.004000
Training Epoch: 32 [32256/48700]	Loss: 0.4044	LR: 0.004000
Training Epoch: 32 [32512/48700]	Loss: 0.4801	LR: 0.004000
Training Epoch: 32 [32768/48700]	Loss: 0.2997	LR: 0.004000
Training Epoch: 32 [33024/48700]	Loss: 0.4047	LR: 0.004000
Training Epoch: 32 [33280/48700]	Loss: 0.3768	LR: 0.004000
Training Epoch: 32 [33536/48700]	Loss: 0.3564	LR: 0.004000
Training Epoch: 32 [33792/48700]	Loss: 0.4070	LR: 0.004000
Training Epoch: 32 [34048/48700]	Loss: 0.2973	LR: 0.004000
Training Epoch: 32 [34304/48700]	Loss: 0.4218	LR: 0.004000
Training Epoch: 32 [34560/48700]	Loss: 0.3662	LR: 0.004000
Training Epoch: 32 [34816/48700]	Loss: 0.2804	LR: 0.004000
Training Epoch: 32 [35072/48700]	Loss: 0.2578	LR: 0.004000
Training Epoch: 32 [35328/48700]	Loss: 0.3626	LR: 0.004000
Training Epoch: 32 [35584/48700]	Loss: 0.3577	LR: 0.004000
Training Epoch: 32 [35840/48700]	Loss: 0.3558	LR: 0.004000
Training Epoch: 32 [36096/48700]	Loss: 0.3945	LR: 0.004000
Training Epoch: 32 [36352/48700]	Loss: 0.3735	LR: 0.004000
Training Epoch: 32 [36608/48700]	Loss: 0.3770	LR: 0.004000
Training Epoch: 32 [36864/48700]	Loss: 0.3335	LR: 0.004000
Training Epoch: 32 [37120/48700]	Loss: 0.3311	LR: 0.004000
Training Epoch: 32 [37376/48700]	Loss: 0.3115	LR: 0.004000
Training Epoch: 32 [37632/48700]	Loss: 0.4059	LR: 0.004000
Training Epoch: 32 [37888/48700]	Loss: 0.3734	LR: 0.004000
Training Epoch: 32 [38144/48700]	Loss: 0.4571	LR: 0.004000
Training Epoch: 32 [38400/48700]	Loss: 0.3389	LR: 0.004000
Training Epoch: 32 [38656/48700]	Loss: 0.3095	LR: 0.004000
Training Epoch: 32 [38912/48700]	Loss: 0.2767	LR: 0.004000
Training Epoch: 32 [39168/48700]	Loss: 0.3576	LR: 0.004000
Training Epoch: 32 [39424/48700]	Loss: 0.3541	LR: 0.004000
Training Epoch: 32 [39680/48700]	Loss: 0.3660	LR: 0.004000
Training Epoch: 32 [39936/48700]	Loss: 0.3484	LR: 0.004000
Training Epoch: 32 [40192/48700]	Loss: 0.3206	LR: 0.004000
Training Epoch: 32 [40448/48700]	Loss: 0.3364	LR: 0.004000
Training Epoch: 32 [40704/48700]	Loss: 0.3808	LR: 0.004000
Training Epoch: 32 [40960/48700]	Loss: 0.3597	LR: 0.004000
Training Epoch: 32 [41216/48700]	Loss: 0.3056	LR: 0.004000
Training Epoch: 32 [41472/48700]	Loss: 0.3387	LR: 0.004000
Training Epoch: 32 [41728/48700]	Loss: 0.2921	LR: 0.004000
Training Epoch: 32 [41984/48700]	Loss: 0.3225	LR: 0.004000
Training Epoch: 32 [42240/48700]	Loss: 0.4212	LR: 0.004000
Training Epoch: 32 [42496/48700]	Loss: 0.2703	LR: 0.004000
Training Epoch: 32 [42752/48700]	Loss: 0.2886	LR: 0.004000
Training Epoch: 32 [43008/48700]	Loss: 0.3187	LR: 0.004000
Training Epoch: 32 [43264/48700]	Loss: 0.4288	LR: 0.004000
Training Epoch: 32 [43520/48700]	Loss: 0.3187	LR: 0.004000
Training Epoch: 32 [43776/48700]	Loss: 0.2926	LR: 0.004000
Training Epoch: 32 [44032/48700]	Loss: 0.2863	LR: 0.004000
Training Epoch: 32 [44288/48700]	Loss: 0.3764	LR: 0.004000
Training Epoch: 32 [44544/48700]	Loss: 0.3242	LR: 0.004000
Training Epoch: 32 [44800/48700]	Loss: 0.3978	LR: 0.004000
Training Epoch: 32 [45056/48700]	Loss: 0.3333	LR: 0.004000
Training Epoch: 32 [45312/48700]	Loss: 0.3401	LR: 0.004000
Training Epoch: 32 [45568/48700]	Loss: 0.3125	LR: 0.004000
Training Epoch: 32 [45824/48700]	Loss: 0.3373	LR: 0.004000
Training Epoch: 32 [46080/48700]	Loss: 0.3470	LR: 0.004000
Training Epoch: 32 [46336/48700]	Loss: 0.2744	LR: 0.004000
Training Epoch: 32 [46592/48700]	Loss: 0.2653	LR: 0.004000
Training Epoch: 32 [46848/48700]	Loss: 0.3064	LR: 0.004000
Training Epoch: 32 [47104/48700]	Loss: 0.4286	LR: 0.004000
Training Epoch: 32 [47360/48700]	Loss: 0.2756	LR: 0.004000
Training Epoch: 32 [47616/48700]	Loss: 0.2888	LR: 0.004000
Training Epoch: 32 [47872/48700]	Loss: 0.3862	LR: 0.004000
Training Epoch: 32 [48128/48700]	Loss: 0.3179	LR: 0.004000
Training Epoch: 32 [48384/48700]	Loss: 0.3457	LR: 0.004000
Training Epoch: 32 [48640/48700]	Loss: 0.3795	LR: 0.004000
Training Epoch: 32 [48700/48700]	Loss: 0.4263	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3429, Train Accuracy: 0.8950
Epoch 32 training time consumed: 26.91s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0029, Accuracy: 0.7811, Time consumed:1.03s
Training Epoch: 33 [256/48700]	Loss: 0.3291	LR: 0.004000
Training Epoch: 33 [512/48700]	Loss: 0.2966	LR: 0.004000
Training Epoch: 33 [768/48700]	Loss: 0.3933	LR: 0.004000
Training Epoch: 33 [1024/48700]	Loss: 0.3416	LR: 0.004000
Training Epoch: 33 [1280/48700]	Loss: 0.3555	LR: 0.004000
Training Epoch: 33 [1536/48700]	Loss: 0.3366	LR: 0.004000
Training Epoch: 33 [1792/48700]	Loss: 0.2900	LR: 0.004000
Training Epoch: 33 [2048/48700]	Loss: 0.3559	LR: 0.004000
Training Epoch: 33 [2304/48700]	Loss: 0.3292	LR: 0.004000
Training Epoch: 33 [2560/48700]	Loss: 0.3505	LR: 0.004000
Training Epoch: 33 [2816/48700]	Loss: 0.3057	LR: 0.004000
Training Epoch: 33 [3072/48700]	Loss: 0.3523	LR: 0.004000
Training Epoch: 33 [3328/48700]	Loss: 0.3097	LR: 0.004000
Training Epoch: 33 [3584/48700]	Loss: 0.3684	LR: 0.004000
Training Epoch: 33 [3840/48700]	Loss: 0.3486	LR: 0.004000
Training Epoch: 33 [4096/48700]	Loss: 0.3781	LR: 0.004000
Training Epoch: 33 [4352/48700]	Loss: 0.3639	LR: 0.004000
Training Epoch: 33 [4608/48700]	Loss: 0.3413	LR: 0.004000
Training Epoch: 33 [4864/48700]	Loss: 0.3199	LR: 0.004000
Training Epoch: 33 [5120/48700]	Loss: 0.3465	LR: 0.004000
Training Epoch: 33 [5376/48700]	Loss: 0.3916	LR: 0.004000
Training Epoch: 33 [5632/48700]	Loss: 0.3642	LR: 0.004000
Training Epoch: 33 [5888/48700]	Loss: 0.3730	LR: 0.004000
Training Epoch: 33 [6144/48700]	Loss: 0.4288	LR: 0.004000
Training Epoch: 33 [6400/48700]	Loss: 0.3010	LR: 0.004000
Training Epoch: 33 [6656/48700]	Loss: 0.3192	LR: 0.004000
Training Epoch: 33 [6912/48700]	Loss: 0.2638	LR: 0.004000
Training Epoch: 33 [7168/48700]	Loss: 0.2883	LR: 0.004000
Training Epoch: 33 [7424/48700]	Loss: 0.3433	LR: 0.004000
Training Epoch: 33 [7680/48700]	Loss: 0.3496	LR: 0.004000
Training Epoch: 33 [7936/48700]	Loss: 0.3584	LR: 0.004000
Training Epoch: 33 [8192/48700]	Loss: 0.3214	LR: 0.004000
Training Epoch: 33 [8448/48700]	Loss: 0.3414	LR: 0.004000
Training Epoch: 33 [8704/48700]	Loss: 0.3743	LR: 0.004000
Training Epoch: 33 [8960/48700]	Loss: 0.3483	LR: 0.004000
Training Epoch: 33 [9216/48700]	Loss: 0.2877	LR: 0.004000
Training Epoch: 33 [9472/48700]	Loss: 0.2805	LR: 0.004000
Training Epoch: 33 [9728/48700]	Loss: 0.3061	LR: 0.004000
Training Epoch: 33 [9984/48700]	Loss: 0.3426	LR: 0.004000
Training Epoch: 33 [10240/48700]	Loss: 0.3003	LR: 0.004000
Training Epoch: 33 [10496/48700]	Loss: 0.3777	LR: 0.004000
Training Epoch: 33 [10752/48700]	Loss: 0.3425	LR: 0.004000
Training Epoch: 33 [11008/48700]	Loss: 0.3400	LR: 0.004000
Training Epoch: 33 [11264/48700]	Loss: 0.3474	LR: 0.004000
Training Epoch: 33 [11520/48700]	Loss: 0.3438	LR: 0.004000
Training Epoch: 33 [11776/48700]	Loss: 0.3443	LR: 0.004000
Training Epoch: 33 [12032/48700]	Loss: 0.3497	LR: 0.004000
Training Epoch: 33 [12288/48700]	Loss: 0.3175	LR: 0.004000
Training Epoch: 33 [12544/48700]	Loss: 0.3110	LR: 0.004000
Training Epoch: 33 [12800/48700]	Loss: 0.3741	LR: 0.004000
Training Epoch: 33 [13056/48700]	Loss: 0.2703	LR: 0.004000
Training Epoch: 33 [13312/48700]	Loss: 0.3283	LR: 0.004000
Training Epoch: 33 [13568/48700]	Loss: 0.3127	LR: 0.004000
Training Epoch: 33 [13824/48700]	Loss: 0.2699	LR: 0.004000
Training Epoch: 33 [14080/48700]	Loss: 0.2882	LR: 0.004000
Training Epoch: 33 [14336/48700]	Loss: 0.3454	LR: 0.004000
Training Epoch: 33 [14592/48700]	Loss: 0.3307	LR: 0.004000
Training Epoch: 33 [14848/48700]	Loss: 0.3073	LR: 0.004000
Training Epoch: 33 [15104/48700]	Loss: 0.3636	LR: 0.004000
Training Epoch: 33 [15360/48700]	Loss: 0.2868	LR: 0.004000
Training Epoch: 33 [15616/48700]	Loss: 0.3660	LR: 0.004000
Training Epoch: 33 [15872/48700]	Loss: 0.4190	LR: 0.004000
Training Epoch: 33 [16128/48700]	Loss: 0.3901	LR: 0.004000
Training Epoch: 33 [16384/48700]	Loss: 0.3176	LR: 0.004000
Training Epoch: 33 [16640/48700]	Loss: 0.2955	LR: 0.004000
Training Epoch: 33 [16896/48700]	Loss: 0.3386	LR: 0.004000
Training Epoch: 33 [17152/48700]	Loss: 0.3556	LR: 0.004000
Training Epoch: 33 [17408/48700]	Loss: 0.3774	LR: 0.004000
Training Epoch: 33 [17664/48700]	Loss: 0.3007	LR: 0.004000
Training Epoch: 33 [17920/48700]	Loss: 0.3450	LR: 0.004000
Training Epoch: 33 [18176/48700]	Loss: 0.2753	LR: 0.004000
Training Epoch: 33 [18432/48700]	Loss: 0.3451	LR: 0.004000
Training Epoch: 33 [18688/48700]	Loss: 0.3485	LR: 0.004000
Training Epoch: 33 [18944/48700]	Loss: 0.2845	LR: 0.004000
Training Epoch: 33 [19200/48700]	Loss: 0.3543	LR: 0.004000
Training Epoch: 33 [19456/48700]	Loss: 0.3527	LR: 0.004000
Training Epoch: 33 [19712/48700]	Loss: 0.3497	LR: 0.004000
Training Epoch: 33 [19968/48700]	Loss: 0.3754	LR: 0.004000
Training Epoch: 33 [20224/48700]	Loss: 0.2685	LR: 0.004000
Training Epoch: 33 [20480/48700]	Loss: 0.3274	LR: 0.004000
Training Epoch: 33 [20736/48700]	Loss: 0.3467	LR: 0.004000
Training Epoch: 33 [20992/48700]	Loss: 0.3396	LR: 0.004000
Training Epoch: 33 [21248/48700]	Loss: 0.3848	LR: 0.004000
Training Epoch: 33 [21504/48700]	Loss: 0.3283	LR: 0.004000
Training Epoch: 33 [21760/48700]	Loss: 0.2616	LR: 0.004000
Training Epoch: 33 [22016/48700]	Loss: 0.3214	LR: 0.004000
Training Epoch: 33 [22272/48700]	Loss: 0.3168	LR: 0.004000
Training Epoch: 33 [22528/48700]	Loss: 0.3390	LR: 0.004000
Training Epoch: 33 [22784/48700]	Loss: 0.3237	LR: 0.004000
Training Epoch: 33 [23040/48700]	Loss: 0.3612	LR: 0.004000
Training Epoch: 33 [23296/48700]	Loss: 0.2984	LR: 0.004000
Training Epoch: 33 [23552/48700]	Loss: 0.3443	LR: 0.004000
Training Epoch: 33 [23808/48700]	Loss: 0.3328	LR: 0.004000
Training Epoch: 33 [24064/48700]	Loss: 0.3706	LR: 0.004000
Training Epoch: 33 [24320/48700]	Loss: 0.3193	LR: 0.004000
Training Epoch: 33 [24576/48700]	Loss: 0.3761	LR: 0.004000
Training Epoch: 33 [24832/48700]	Loss: 0.2556	LR: 0.004000
Training Epoch: 33 [25088/48700]	Loss: 0.3170	LR: 0.004000
Training Epoch: 33 [25344/48700]	Loss: 0.2804	LR: 0.004000
Training Epoch: 33 [25600/48700]	Loss: 0.3008	LR: 0.004000
Training Epoch: 33 [25856/48700]	Loss: 0.3338	LR: 0.004000
Training Epoch: 33 [26112/48700]	Loss: 0.3516	LR: 0.004000
Training Epoch: 33 [26368/48700]	Loss: 0.2815	LR: 0.004000
Training Epoch: 33 [26624/48700]	Loss: 0.4199	LR: 0.004000
Training Epoch: 33 [26880/48700]	Loss: 0.3228	LR: 0.004000
Training Epoch: 33 [27136/48700]	Loss: 0.3320	LR: 0.004000
Training Epoch: 33 [27392/48700]	Loss: 0.2681	LR: 0.004000
Training Epoch: 33 [27648/48700]	Loss: 0.4370	LR: 0.004000
Training Epoch: 33 [27904/48700]	Loss: 0.4005	LR: 0.004000
Training Epoch: 33 [28160/48700]	Loss: 0.3505	LR: 0.004000
Training Epoch: 33 [28416/48700]	Loss: 0.3390	LR: 0.004000
Training Epoch: 33 [28672/48700]	Loss: 0.2607	LR: 0.004000
Training Epoch: 33 [28928/48700]	Loss: 0.3708	LR: 0.004000
Training Epoch: 33 [29184/48700]	Loss: 0.2592	LR: 0.004000
Training Epoch: 33 [29440/48700]	Loss: 0.2842	LR: 0.004000
Training Epoch: 33 [29696/48700]	Loss: 0.3397	LR: 0.004000
Training Epoch: 33 [29952/48700]	Loss: 0.3230	LR: 0.004000
Training Epoch: 33 [30208/48700]	Loss: 0.2669	LR: 0.004000
Training Epoch: 33 [30464/48700]	Loss: 0.2951	LR: 0.004000
Training Epoch: 33 [30720/48700]	Loss: 0.3569	LR: 0.004000
Training Epoch: 33 [30976/48700]	Loss: 0.3040	LR: 0.004000
Training Epoch: 33 [31232/48700]	Loss: 0.3628	LR: 0.004000
Training Epoch: 33 [31488/48700]	Loss: 0.3199	LR: 0.004000
Training Epoch: 33 [31744/48700]	Loss: 0.2924	LR: 0.004000
Training Epoch: 33 [32000/48700]	Loss: 0.3512	LR: 0.004000
Training Epoch: 33 [32256/48700]	Loss: 0.2951	LR: 0.004000
Training Epoch: 33 [32512/48700]	Loss: 0.3055	LR: 0.004000
Training Epoch: 33 [32768/48700]	Loss: 0.3507	LR: 0.004000
Training Epoch: 33 [33024/48700]	Loss: 0.2990	LR: 0.004000
Training Epoch: 33 [33280/48700]	Loss: 0.2986	LR: 0.004000
Training Epoch: 33 [33536/48700]	Loss: 0.3064	LR: 0.004000
Training Epoch: 33 [33792/48700]	Loss: 0.3280	LR: 0.004000
Training Epoch: 33 [34048/48700]	Loss: 0.3146	LR: 0.004000
Training Epoch: 33 [34304/48700]	Loss: 0.3028	LR: 0.004000
Training Epoch: 33 [34560/48700]	Loss: 0.2903	LR: 0.004000
Training Epoch: 33 [34816/48700]	Loss: 0.3910	LR: 0.004000
Training Epoch: 33 [35072/48700]	Loss: 0.3013	LR: 0.004000
Training Epoch: 33 [35328/48700]	Loss: 0.3371	LR: 0.004000
Training Epoch: 33 [35584/48700]	Loss: 0.3644	LR: 0.004000
Training Epoch: 33 [35840/48700]	Loss: 0.4015	LR: 0.004000
Training Epoch: 33 [36096/48700]	Loss: 0.2994	LR: 0.004000
Training Epoch: 33 [36352/48700]	Loss: 0.3654	LR: 0.004000
Training Epoch: 33 [36608/48700]	Loss: 0.3211	LR: 0.004000
Training Epoch: 33 [36864/48700]	Loss: 0.3698	LR: 0.004000
Training Epoch: 33 [37120/48700]	Loss: 0.2628	LR: 0.004000
Training Epoch: 33 [37376/48700]	Loss: 0.3368	LR: 0.004000
Training Epoch: 33 [37632/48700]	Loss: 0.3270	LR: 0.004000
Training Epoch: 33 [37888/48700]	Loss: 0.3467	LR: 0.004000
Training Epoch: 33 [38144/48700]	Loss: 0.2839	LR: 0.004000
Training Epoch: 33 [38400/48700]	Loss: 0.3204	LR: 0.004000
Training Epoch: 33 [38656/48700]	Loss: 0.2938	LR: 0.004000
Training Epoch: 33 [38912/48700]	Loss: 0.4148	LR: 0.004000
Training Epoch: 33 [39168/48700]	Loss: 0.3404	LR: 0.004000
Training Epoch: 33 [39424/48700]	Loss: 0.3581	LR: 0.004000
Training Epoch: 33 [39680/48700]	Loss: 0.2741	LR: 0.004000
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Training Epoch: 33 [43776/48700]	Loss: 0.3074	LR: 0.004000
Training Epoch: 33 [44032/48700]	Loss: 0.2812	LR: 0.004000
Training Epoch: 33 [44288/48700]	Loss: 0.3295	LR: 0.004000
Training Epoch: 33 [44544/48700]	Loss: 0.3340	LR: 0.004000
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Training Epoch: 33 [45056/48700]	Loss: 0.3684	LR: 0.004000
Training Epoch: 33 [45312/48700]	Loss: 0.2685	LR: 0.004000
Training Epoch: 33 [45568/48700]	Loss: 0.3347	LR: 0.004000
Training Epoch: 33 [45824/48700]	Loss: 0.3424	LR: 0.004000
Training Epoch: 33 [46080/48700]	Loss: 0.3542	LR: 0.004000
Training Epoch: 33 [46336/48700]	Loss: 0.3526	LR: 0.004000
Training Epoch: 33 [46592/48700]	Loss: 0.3740	LR: 0.004000
Training Epoch: 33 [46848/48700]	Loss: 0.3744	LR: 0.004000
Training Epoch: 33 [47104/48700]	Loss: 0.3002	LR: 0.004000
Training Epoch: 33 [47360/48700]	Loss: 0.3339	LR: 0.004000
Training Epoch: 33 [47616/48700]	Loss: 0.3391	LR: 0.004000
Training Epoch: 33 [47872/48700]	Loss: 0.3466	LR: 0.004000
Training Epoch: 33 [48128/48700]	Loss: 0.3788	LR: 0.004000
Training Epoch: 33 [48384/48700]	Loss: 0.3641	LR: 0.004000
Training Epoch: 33 [48640/48700]	Loss: 0.3363	LR: 0.004000
Training Epoch: 33 [48700/48700]	Loss: 0.5330	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3321, Train Accuracy: 0.8990
Epoch 33 training time consumed: 26.90s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7837, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-33-best.pth
Training Epoch: 34 [256/48700]	Loss: 0.3233	LR: 0.004000
Training Epoch: 34 [512/48700]	Loss: 0.3356	LR: 0.004000
Training Epoch: 34 [768/48700]	Loss: 0.3463	LR: 0.004000
Training Epoch: 34 [1024/48700]	Loss: 0.3536	LR: 0.004000
Training Epoch: 34 [1280/48700]	Loss: 0.2906	LR: 0.004000
Training Epoch: 34 [1536/48700]	Loss: 0.3638	LR: 0.004000
Training Epoch: 34 [1792/48700]	Loss: 0.3161	LR: 0.004000
Training Epoch: 34 [2048/48700]	Loss: 0.2914	LR: 0.004000
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Training Epoch: 34 [47104/48700]	Loss: 0.2819	LR: 0.004000
Training Epoch: 34 [47360/48700]	Loss: 0.3452	LR: 0.004000
Training Epoch: 34 [47616/48700]	Loss: 0.3716	LR: 0.004000
Training Epoch: 34 [47872/48700]	Loss: 0.3193	LR: 0.004000
Training Epoch: 34 [48128/48700]	Loss: 0.3215	LR: 0.004000
Training Epoch: 34 [48384/48700]	Loss: 0.3024	LR: 0.004000
Training Epoch: 34 [48640/48700]	Loss: 0.3492	LR: 0.004000
Training Epoch: 34 [48700/48700]	Loss: 0.5156	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3217, Train Accuracy: 0.9020
Epoch 34 training time consumed: 27.15s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.7851, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-34-best.pth
Training Epoch: 35 [256/48700]	Loss: 0.2515	LR: 0.000800
Training Epoch: 35 [512/48700]	Loss: 0.3106	LR: 0.000800
Training Epoch: 35 [768/48700]	Loss: 0.3162	LR: 0.000800
Training Epoch: 35 [1024/48700]	Loss: 0.3777	LR: 0.000800
Training Epoch: 35 [1280/48700]	Loss: 0.2961	LR: 0.000800
Training Epoch: 35 [1536/48700]	Loss: 0.3628	LR: 0.000800
Training Epoch: 35 [1792/48700]	Loss: 0.3038	LR: 0.000800
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Training Epoch: 35 [13568/48700]	Loss: 0.2642	LR: 0.000800
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Training Epoch: 35 [22016/48700]	Loss: 0.2882	LR: 0.000800
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Training Epoch: 35 [45568/48700]	Loss: 0.2474	LR: 0.000800
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Training Epoch: 35 [46080/48700]	Loss: 0.2611	LR: 0.000800
Training Epoch: 35 [46336/48700]	Loss: 0.2370	LR: 0.000800
Training Epoch: 35 [46592/48700]	Loss: 0.2478	LR: 0.000800
Training Epoch: 35 [46848/48700]	Loss: 0.3437	LR: 0.000800
Training Epoch: 35 [47104/48700]	Loss: 0.2561	LR: 0.000800
Training Epoch: 35 [47360/48700]	Loss: 0.2956	LR: 0.000800
Training Epoch: 35 [47616/48700]	Loss: 0.3316	LR: 0.000800
Training Epoch: 35 [47872/48700]	Loss: 0.3042	LR: 0.000800
Training Epoch: 35 [48128/48700]	Loss: 0.2496	LR: 0.000800
Training Epoch: 35 [48384/48700]	Loss: 0.2988	LR: 0.000800
Training Epoch: 35 [48640/48700]	Loss: 0.3026	LR: 0.000800
Training Epoch: 35 [48700/48700]	Loss: 0.3534	LR: 0.000800
Epoch 35 - Average Train Loss: 0.2969, Train Accuracy: 0.9108
Epoch 35 training time consumed: 27.05s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7854, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-35-best.pth
Training Epoch: 36 [256/48700]	Loss: 0.2558	LR: 0.000800
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Training Epoch: 36 [1280/48700]	Loss: 0.3331	LR: 0.000800
Training Epoch: 36 [1536/48700]	Loss: 0.3124	LR: 0.000800
Training Epoch: 36 [1792/48700]	Loss: 0.2852	LR: 0.000800
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Training Epoch: 36 [2816/48700]	Loss: 0.3085	LR: 0.000800
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Training Epoch: 36 [14848/48700]	Loss: 0.3371	LR: 0.000800
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Training Epoch: 36 [36096/48700]	Loss: 0.3042	LR: 0.000800
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Training Epoch: 36 [37888/48700]	Loss: 0.3124	LR: 0.000800
Training Epoch: 36 [38144/48700]	Loss: 0.2892	LR: 0.000800
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Training Epoch: 36 [38656/48700]	Loss: 0.2731	LR: 0.000800
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Training Epoch: 36 [40448/48700]	Loss: 0.3388	LR: 0.000800
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Training Epoch: 36 [41472/48700]	Loss: 0.2890	LR: 0.000800
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Training Epoch: 36 [42240/48700]	Loss: 0.2792	LR: 0.000800
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Training Epoch: 36 [42752/48700]	Loss: 0.3346	LR: 0.000800
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Training Epoch: 36 [43520/48700]	Loss: 0.3088	LR: 0.000800
Training Epoch: 36 [43776/48700]	Loss: 0.3004	LR: 0.000800
Training Epoch: 36 [44032/48700]	Loss: 0.3058	LR: 0.000800
Training Epoch: 36 [44288/48700]	Loss: 0.2924	LR: 0.000800
Training Epoch: 36 [44544/48700]	Loss: 0.3168	LR: 0.000800
Training Epoch: 36 [44800/48700]	Loss: 0.2937	LR: 0.000800
Training Epoch: 36 [45056/48700]	Loss: 0.2738	LR: 0.000800
Training Epoch: 36 [45312/48700]	Loss: 0.2884	LR: 0.000800
Training Epoch: 36 [45568/48700]	Loss: 0.3688	LR: 0.000800
Training Epoch: 36 [45824/48700]	Loss: 0.3094	LR: 0.000800
Training Epoch: 36 [46080/48700]	Loss: 0.3025	LR: 0.000800
Training Epoch: 36 [46336/48700]	Loss: 0.2721	LR: 0.000800
Training Epoch: 36 [46592/48700]	Loss: 0.3006	LR: 0.000800
Training Epoch: 36 [46848/48700]	Loss: 0.3624	LR: 0.000800
Training Epoch: 36 [47104/48700]	Loss: 0.2746	LR: 0.000800
Training Epoch: 36 [47360/48700]	Loss: 0.3159	LR: 0.000800
Training Epoch: 36 [47616/48700]	Loss: 0.2737	LR: 0.000800
Training Epoch: 36 [47872/48700]	Loss: 0.3093	LR: 0.000800
Training Epoch: 36 [48128/48700]	Loss: 0.2599	LR: 0.000800
Training Epoch: 36 [48384/48700]	Loss: 0.3095	LR: 0.000800
Training Epoch: 36 [48640/48700]	Loss: 0.2437	LR: 0.000800
Training Epoch: 36 [48700/48700]	Loss: 0.4027	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2949, Train Accuracy: 0.9120
Epoch 36 training time consumed: 27.23s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.7866, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-36-best.pth
Training Epoch: 37 [256/48700]	Loss: 0.2468	LR: 0.000800
Training Epoch: 37 [512/48700]	Loss: 0.2441	LR: 0.000800
Training Epoch: 37 [768/48700]	Loss: 0.2461	LR: 0.000800
Training Epoch: 37 [1024/48700]	Loss: 0.3425	LR: 0.000800
Training Epoch: 37 [1280/48700]	Loss: 0.2681	LR: 0.000800
Training Epoch: 37 [1536/48700]	Loss: 0.2636	LR: 0.000800
Training Epoch: 37 [1792/48700]	Loss: 0.3179	LR: 0.000800
Training Epoch: 37 [2048/48700]	Loss: 0.3063	LR: 0.000800
Training Epoch: 37 [2304/48700]	Loss: 0.2885	LR: 0.000800
Training Epoch: 37 [2560/48700]	Loss: 0.2770	LR: 0.000800
Training Epoch: 37 [2816/48700]	Loss: 0.2868	LR: 0.000800
Training Epoch: 37 [3072/48700]	Loss: 0.2654	LR: 0.000800
Training Epoch: 37 [3328/48700]	Loss: 0.2231	LR: 0.000800
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Training Epoch: 37 [3840/48700]	Loss: 0.2425	LR: 0.000800
Training Epoch: 37 [4096/48700]	Loss: 0.2970	LR: 0.000800
Training Epoch: 37 [4352/48700]	Loss: 0.3521	LR: 0.000800
Training Epoch: 37 [4608/48700]	Loss: 0.2503	LR: 0.000800
Training Epoch: 37 [4864/48700]	Loss: 0.3041	LR: 0.000800
Training Epoch: 37 [5120/48700]	Loss: 0.2710	LR: 0.000800
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Training Epoch: 37 [5888/48700]	Loss: 0.2738	LR: 0.000800
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Training Epoch: 37 [10752/48700]	Loss: 0.2910	LR: 0.000800
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Training Epoch: 37 [11264/48700]	Loss: 0.2141	LR: 0.000800
Training Epoch: 37 [11520/48700]	Loss: 0.2493	LR: 0.000800
Training Epoch: 37 [11776/48700]	Loss: 0.2693	LR: 0.000800
Training Epoch: 37 [12032/48700]	Loss: 0.3457	LR: 0.000800
Training Epoch: 37 [12288/48700]	Loss: 0.2967	LR: 0.000800
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Training Epoch: 37 [15872/48700]	Loss: 0.2827	LR: 0.000800
Training Epoch: 37 [16128/48700]	Loss: 0.3138	LR: 0.000800
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Training Epoch: 37 [16640/48700]	Loss: 0.2654	LR: 0.000800
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Training Epoch: 37 [37888/48700]	Loss: 0.3305	LR: 0.000800
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Training Epoch: 37 [38656/48700]	Loss: 0.2425	LR: 0.000800
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Training Epoch: 37 [39168/48700]	Loss: 0.3362	LR: 0.000800
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Training Epoch: 37 [40192/48700]	Loss: 0.3573	LR: 0.000800
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Training Epoch: 37 [40960/48700]	Loss: 0.3996	LR: 0.000800
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Training Epoch: 37 [41472/48700]	Loss: 0.3092	LR: 0.000800
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Training Epoch: 37 [42496/48700]	Loss: 0.2558	LR: 0.000800
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Training Epoch: 37 [43520/48700]	Loss: 0.2486	LR: 0.000800
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Training Epoch: 37 [45056/48700]	Loss: 0.2447	LR: 0.000800
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Training Epoch: 37 [45568/48700]	Loss: 0.2128	LR: 0.000800
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Training Epoch: 37 [46336/48700]	Loss: 0.3122	LR: 0.000800
Training Epoch: 37 [46592/48700]	Loss: 0.3422	LR: 0.000800
Training Epoch: 37 [46848/48700]	Loss: 0.3414	LR: 0.000800
Training Epoch: 37 [47104/48700]	Loss: 0.3231	LR: 0.000800
Training Epoch: 37 [47360/48700]	Loss: 0.2223	LR: 0.000800
Training Epoch: 37 [47616/48700]	Loss: 0.2957	LR: 0.000800
Training Epoch: 37 [47872/48700]	Loss: 0.2662	LR: 0.000800
Training Epoch: 37 [48128/48700]	Loss: 0.2635	LR: 0.000800
Training Epoch: 37 [48384/48700]	Loss: 0.2720	LR: 0.000800
Training Epoch: 37 [48640/48700]	Loss: 0.3210	LR: 0.000800
Training Epoch: 37 [48700/48700]	Loss: 0.3686	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2883, Train Accuracy: 0.9156
Epoch 37 training time consumed: 26.60s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.7873, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-37-best.pth
Training Epoch: 38 [256/48700]	Loss: 0.3375	LR: 0.000800
Training Epoch: 38 [512/48700]	Loss: 0.2966	LR: 0.000800
Training Epoch: 38 [768/48700]	Loss: 0.3030	LR: 0.000800
Training Epoch: 38 [1024/48700]	Loss: 0.2341	LR: 0.000800
Training Epoch: 38 [1280/48700]	Loss: 0.2762	LR: 0.000800
Training Epoch: 38 [1536/48700]	Loss: 0.3644	LR: 0.000800
Training Epoch: 38 [1792/48700]	Loss: 0.2254	LR: 0.000800
Training Epoch: 38 [2048/48700]	Loss: 0.3071	LR: 0.000800
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Training Epoch: 38 [3328/48700]	Loss: 0.2249	LR: 0.000800
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Training Epoch: 38 [12032/48700]	Loss: 0.2963	LR: 0.000800
Training Epoch: 38 [12288/48700]	Loss: 0.2959	LR: 0.000800
Training Epoch: 38 [12544/48700]	Loss: 0.2782	LR: 0.000800
Training Epoch: 38 [12800/48700]	Loss: 0.3746	LR: 0.000800
Training Epoch: 38 [13056/48700]	Loss: 0.2381	LR: 0.000800
Training Epoch: 38 [13312/48700]	Loss: 0.2697	LR: 0.000800
Training Epoch: 38 [13568/48700]	Loss: 0.3285	LR: 0.000800
Training Epoch: 38 [13824/48700]	Loss: 0.2910	LR: 0.000800
Training Epoch: 38 [14080/48700]	Loss: 0.2746	LR: 0.000800
Training Epoch: 38 [14336/48700]	Loss: 0.2869	LR: 0.000800
Training Epoch: 38 [14592/48700]	Loss: 0.2982	LR: 0.000800
Training Epoch: 38 [14848/48700]	Loss: 0.3383	LR: 0.000800
Training Epoch: 38 [15104/48700]	Loss: 0.2462	LR: 0.000800
Training Epoch: 38 [15360/48700]	Loss: 0.3117	LR: 0.000800
Training Epoch: 38 [15616/48700]	Loss: 0.2845	LR: 0.000800
Training Epoch: 38 [15872/48700]	Loss: 0.2350	LR: 0.000800
Training Epoch: 38 [16128/48700]	Loss: 0.2879	LR: 0.000800
Training Epoch: 38 [16384/48700]	Loss: 0.3002	LR: 0.000800
Training Epoch: 38 [16640/48700]	Loss: 0.2989	LR: 0.000800
Training Epoch: 38 [16896/48700]	Loss: 0.2989	LR: 0.000800
Training Epoch: 38 [17152/48700]	Loss: 0.2836	LR: 0.000800
Training Epoch: 38 [17408/48700]	Loss: 0.3464	LR: 0.000800
Training Epoch: 38 [17664/48700]	Loss: 0.3212	LR: 0.000800
Training Epoch: 38 [17920/48700]	Loss: 0.3604	LR: 0.000800
Training Epoch: 38 [18176/48700]	Loss: 0.2747	LR: 0.000800
Training Epoch: 38 [18432/48700]	Loss: 0.2436	LR: 0.000800
Training Epoch: 38 [18688/48700]	Loss: 0.2787	LR: 0.000800
Training Epoch: 38 [18944/48700]	Loss: 0.3594	LR: 0.000800
Training Epoch: 38 [19200/48700]	Loss: 0.2438	LR: 0.000800
Training Epoch: 38 [19456/48700]	Loss: 0.2482	LR: 0.000800
Training Epoch: 38 [19712/48700]	Loss: 0.2589	LR: 0.000800
Training Epoch: 38 [19968/48700]	Loss: 0.2780	LR: 0.000800
Training Epoch: 38 [20224/48700]	Loss: 0.3470	LR: 0.000800
Training Epoch: 38 [20480/48700]	Loss: 0.3120	LR: 0.000800
Training Epoch: 38 [20736/48700]	Loss: 0.2991	LR: 0.000800
Training Epoch: 38 [20992/48700]	Loss: 0.3138	LR: 0.000800
Training Epoch: 38 [21248/48700]	Loss: 0.3237	LR: 0.000800
Training Epoch: 38 [21504/48700]	Loss: 0.2899	LR: 0.000800
Training Epoch: 38 [21760/48700]	Loss: 0.2501	LR: 0.000800
Training Epoch: 38 [22016/48700]	Loss: 0.2637	LR: 0.000800
Training Epoch: 38 [22272/48700]	Loss: 0.2589	LR: 0.000800
Training Epoch: 38 [22528/48700]	Loss: 0.3114	LR: 0.000800
Training Epoch: 38 [22784/48700]	Loss: 0.2835	LR: 0.000800
Training Epoch: 38 [23040/48700]	Loss: 0.2967	LR: 0.000800
Training Epoch: 38 [23296/48700]	Loss: 0.2219	LR: 0.000800
Training Epoch: 38 [23552/48700]	Loss: 0.2884	LR: 0.000800
Training Epoch: 38 [23808/48700]	Loss: 0.2525	LR: 0.000800
Training Epoch: 38 [24064/48700]	Loss: 0.3020	LR: 0.000800
Training Epoch: 38 [24320/48700]	Loss: 0.2954	LR: 0.000800
Training Epoch: 38 [24576/48700]	Loss: 0.3196	LR: 0.000800
Training Epoch: 38 [24832/48700]	Loss: 0.2287	LR: 0.000800
Training Epoch: 38 [25088/48700]	Loss: 0.2976	LR: 0.000800
Training Epoch: 38 [25344/48700]	Loss: 0.2992	LR: 0.000800
Training Epoch: 38 [25600/48700]	Loss: 0.3331	LR: 0.000800
Training Epoch: 38 [25856/48700]	Loss: 0.2611	LR: 0.000800
Training Epoch: 38 [26112/48700]	Loss: 0.2675	LR: 0.000800
Training Epoch: 38 [26368/48700]	Loss: 0.1987	LR: 0.000800
Training Epoch: 38 [26624/48700]	Loss: 0.3241	LR: 0.000800
Training Epoch: 38 [26880/48700]	Loss: 0.2649	LR: 0.000800
Training Epoch: 38 [27136/48700]	Loss: 0.2998	LR: 0.000800
Training Epoch: 38 [27392/48700]	Loss: 0.2954	LR: 0.000800
Training Epoch: 38 [27648/48700]	Loss: 0.2963	LR: 0.000800
Training Epoch: 38 [27904/48700]	Loss: 0.2852	LR: 0.000800
Training Epoch: 38 [28160/48700]	Loss: 0.2726	LR: 0.000800
Training Epoch: 38 [28416/48700]	Loss: 0.2823	LR: 0.000800
Training Epoch: 38 [28672/48700]	Loss: 0.1862	LR: 0.000800
Training Epoch: 38 [28928/48700]	Loss: 0.2988	LR: 0.000800
Training Epoch: 38 [29184/48700]	Loss: 0.3418	LR: 0.000800
Training Epoch: 38 [29440/48700]	Loss: 0.2600	LR: 0.000800
Training Epoch: 38 [29696/48700]	Loss: 0.3545	LR: 0.000800
Training Epoch: 38 [29952/48700]	Loss: 0.2743	LR: 0.000800
Training Epoch: 38 [30208/48700]	Loss: 0.2848	LR: 0.000800
Training Epoch: 38 [30464/48700]	Loss: 0.2192	LR: 0.000800
Training Epoch: 38 [30720/48700]	Loss: 0.2648	LR: 0.000800
Training Epoch: 38 [30976/48700]	Loss: 0.2635	LR: 0.000800
Training Epoch: 38 [31232/48700]	Loss: 0.2977	LR: 0.000800
Training Epoch: 38 [31488/48700]	Loss: 0.2711	LR: 0.000800
Training Epoch: 38 [31744/48700]	Loss: 0.2440	LR: 0.000800
Training Epoch: 38 [32000/48700]	Loss: 0.3040	LR: 0.000800
Training Epoch: 38 [32256/48700]	Loss: 0.2468	LR: 0.000800
Training Epoch: 38 [32512/48700]	Loss: 0.2819	LR: 0.000800
Training Epoch: 38 [32768/48700]	Loss: 0.2442	LR: 0.000800
Training Epoch: 38 [33024/48700]	Loss: 0.2604	LR: 0.000800
Training Epoch: 38 [33280/48700]	Loss: 0.2679	LR: 0.000800
Training Epoch: 38 [33536/48700]	Loss: 0.3164	LR: 0.000800
Training Epoch: 38 [33792/48700]	Loss: 0.2717	LR: 0.000800
Training Epoch: 38 [34048/48700]	Loss: 0.3864	LR: 0.000800
Training Epoch: 38 [34304/48700]	Loss: 0.2811	LR: 0.000800
Training Epoch: 38 [34560/48700]	Loss: 0.3139	LR: 0.000800
Training Epoch: 38 [34816/48700]	Loss: 0.3072	LR: 0.000800
Training Epoch: 38 [35072/48700]	Loss: 0.3366	LR: 0.000800
Training Epoch: 38 [35328/48700]	Loss: 0.2824	LR: 0.000800
Training Epoch: 38 [35584/48700]	Loss: 0.2613	LR: 0.000800
Training Epoch: 38 [35840/48700]	Loss: 0.2861	LR: 0.000800
Training Epoch: 38 [36096/48700]	Loss: 0.3245	LR: 0.000800
Training Epoch: 38 [36352/48700]	Loss: 0.2436	LR: 0.000800
Training Epoch: 38 [36608/48700]	Loss: 0.2828	LR: 0.000800
Training Epoch: 38 [36864/48700]	Loss: 0.3184	LR: 0.000800
Training Epoch: 38 [37120/48700]	Loss: 0.2836	LR: 0.000800
Training Epoch: 38 [37376/48700]	Loss: 0.2335	LR: 0.000800
Training Epoch: 38 [37632/48700]	Loss: 0.2262	LR: 0.000800
Training Epoch: 38 [37888/48700]	Loss: 0.3563	LR: 0.000800
Training Epoch: 38 [38144/48700]	Loss: 0.3288	LR: 0.000800
Training Epoch: 38 [38400/48700]	Loss: 0.2313	LR: 0.000800
Training Epoch: 38 [38656/48700]	Loss: 0.3305	LR: 0.000800
Training Epoch: 38 [38912/48700]	Loss: 0.2399	LR: 0.000800
Training Epoch: 38 [39168/48700]	Loss: 0.2524	LR: 0.000800
Training Epoch: 38 [39424/48700]	Loss: 0.3257	LR: 0.000800
Training Epoch: 38 [39680/48700]	Loss: 0.2395	LR: 0.000800
Training Epoch: 38 [39936/48700]	Loss: 0.3226	LR: 0.000800
Training Epoch: 38 [40192/48700]	Loss: 0.3016	LR: 0.000800
Training Epoch: 38 [40448/48700]	Loss: 0.2415	LR: 0.000800
Training Epoch: 38 [40704/48700]	Loss: 0.2455	LR: 0.000800
Training Epoch: 38 [40960/48700]	Loss: 0.2582	LR: 0.000800
Training Epoch: 38 [41216/48700]	Loss: 0.3489	LR: 0.000800
Training Epoch: 38 [41472/48700]	Loss: 0.2816	LR: 0.000800
Training Epoch: 38 [41728/48700]	Loss: 0.2843	LR: 0.000800
Training Epoch: 38 [41984/48700]	Loss: 0.2797	LR: 0.000800
Training Epoch: 38 [42240/48700]	Loss: 0.2966	LR: 0.000800
Training Epoch: 38 [42496/48700]	Loss: 0.2541	LR: 0.000800
Training Epoch: 38 [42752/48700]	Loss: 0.2647	LR: 0.000800
Training Epoch: 38 [43008/48700]	Loss: 0.2784	LR: 0.000800
Training Epoch: 38 [43264/48700]	Loss: 0.3478	LR: 0.000800
Training Epoch: 38 [43520/48700]	Loss: 0.3040	LR: 0.000800
Training Epoch: 38 [43776/48700]	Loss: 0.3532	LR: 0.000800
Training Epoch: 38 [44032/48700]	Loss: 0.2628	LR: 0.000800
Training Epoch: 38 [44288/48700]	Loss: 0.2768	LR: 0.000800
Training Epoch: 38 [44544/48700]	Loss: 0.2857	LR: 0.000800
Training Epoch: 38 [44800/48700]	Loss: 0.2499	LR: 0.000800
Training Epoch: 38 [45056/48700]	Loss: 0.2649	LR: 0.000800
Training Epoch: 38 [45312/48700]	Loss: 0.2504	LR: 0.000800
Training Epoch: 38 [45568/48700]	Loss: 0.3779	LR: 0.000800
Training Epoch: 38 [45824/48700]	Loss: 0.2884	LR: 0.000800
Training Epoch: 38 [46080/48700]	Loss: 0.2646	LR: 0.000800
Training Epoch: 38 [46336/48700]	Loss: 0.3169	LR: 0.000800
Training Epoch: 38 [46592/48700]	Loss: 0.2994	LR: 0.000800
Training Epoch: 38 [46848/48700]	Loss: 0.2328	LR: 0.000800
Training Epoch: 38 [47104/48700]	Loss: 0.2647	LR: 0.000800
Training Epoch: 38 [47360/48700]	Loss: 0.3289	LR: 0.000800
Training Epoch: 38 [47616/48700]	Loss: 0.2827	LR: 0.000800
Training Epoch: 38 [47872/48700]	Loss: 0.2611	LR: 0.000800
Training Epoch: 38 [48128/48700]	Loss: 0.2598	LR: 0.000800
Training Epoch: 38 [48384/48700]	Loss: 0.2329	LR: 0.000800
Training Epoch: 38 [48640/48700]	Loss: 0.2572	LR: 0.000800
Training Epoch: 38 [48700/48700]	Loss: 0.2273	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2855, Train Accuracy: 0.9157
Epoch 38 training time consumed: 26.73s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7869, Time consumed:0.93s
Training Epoch: 39 [256/48700]	Loss: 0.2627	LR: 0.000800
Training Epoch: 39 [512/48700]	Loss: 0.2644	LR: 0.000800
Training Epoch: 39 [768/48700]	Loss: 0.3349	LR: 0.000800
Training Epoch: 39 [1024/48700]	Loss: 0.2552	LR: 0.000800
Training Epoch: 39 [1280/48700]	Loss: 0.2696	LR: 0.000800
Training Epoch: 39 [1536/48700]	Loss: 0.2806	LR: 0.000800
Training Epoch: 39 [1792/48700]	Loss: 0.2808	LR: 0.000800
Training Epoch: 39 [2048/48700]	Loss: 0.2685	LR: 0.000800
Training Epoch: 39 [2304/48700]	Loss: 0.2524	LR: 0.000800
Training Epoch: 39 [2560/48700]	Loss: 0.3257	LR: 0.000800
Training Epoch: 39 [2816/48700]	Loss: 0.2999	LR: 0.000800
Training Epoch: 39 [3072/48700]	Loss: 0.2600	LR: 0.000800
Training Epoch: 39 [3328/48700]	Loss: 0.3368	LR: 0.000800
Training Epoch: 39 [3584/48700]	Loss: 0.2984	LR: 0.000800
Training Epoch: 39 [3840/48700]	Loss: 0.2868	LR: 0.000800
Training Epoch: 39 [4096/48700]	Loss: 0.2473	LR: 0.000800
Training Epoch: 39 [4352/48700]	Loss: 0.2544	LR: 0.000800
Training Epoch: 39 [4608/48700]	Loss: 0.2206	LR: 0.000800
Training Epoch: 39 [4864/48700]	Loss: 0.2949	LR: 0.000800
Training Epoch: 39 [5120/48700]	Loss: 0.2623	LR: 0.000800
Training Epoch: 39 [5376/48700]	Loss: 0.2937	LR: 0.000800
Training Epoch: 39 [5632/48700]	Loss: 0.3853	LR: 0.000800
Training Epoch: 39 [5888/48700]	Loss: 0.3066	LR: 0.000800
Training Epoch: 39 [6144/48700]	Loss: 0.3267	LR: 0.000800
Training Epoch: 39 [6400/48700]	Loss: 0.3401	LR: 0.000800
Training Epoch: 39 [6656/48700]	Loss: 0.2983	LR: 0.000800
Training Epoch: 39 [6912/48700]	Loss: 0.2305	LR: 0.000800
Training Epoch: 39 [7168/48700]	Loss: 0.2650	LR: 0.000800
Training Epoch: 39 [7424/48700]	Loss: 0.3410	LR: 0.000800
Training Epoch: 39 [7680/48700]	Loss: 0.3415	LR: 0.000800
Training Epoch: 39 [7936/48700]	Loss: 0.2603	LR: 0.000800
Training Epoch: 39 [8192/48700]	Loss: 0.3834	LR: 0.000800
Training Epoch: 39 [8448/48700]	Loss: 0.3763	LR: 0.000800
Training Epoch: 39 [8704/48700]	Loss: 0.2782	LR: 0.000800
Training Epoch: 39 [8960/48700]	Loss: 0.3034	LR: 0.000800
Training Epoch: 39 [9216/48700]	Loss: 0.2783	LR: 0.000800
Training Epoch: 39 [9472/48700]	Loss: 0.2781	LR: 0.000800
Training Epoch: 39 [9728/48700]	Loss: 0.3116	LR: 0.000800
Training Epoch: 39 [9984/48700]	Loss: 0.2988	LR: 0.000800
Training Epoch: 39 [10240/48700]	Loss: 0.3110	LR: 0.000800
Training Epoch: 39 [10496/48700]	Loss: 0.1895	LR: 0.000800
Training Epoch: 39 [10752/48700]	Loss: 0.2750	LR: 0.000800
Training Epoch: 39 [11008/48700]	Loss: 0.2664	LR: 0.000800
Training Epoch: 39 [11264/48700]	Loss: 0.3212	LR: 0.000800
Training Epoch: 39 [11520/48700]	Loss: 0.3760	LR: 0.000800
Training Epoch: 39 [11776/48700]	Loss: 0.3270	LR: 0.000800
Training Epoch: 39 [12032/48700]	Loss: 0.2519	LR: 0.000800
Training Epoch: 39 [12288/48700]	Loss: 0.3048	LR: 0.000800
Training Epoch: 39 [12544/48700]	Loss: 0.3520	LR: 0.000800
Training Epoch: 39 [12800/48700]	Loss: 0.3457	LR: 0.000800
Training Epoch: 39 [13056/48700]	Loss: 0.3063	LR: 0.000800
Training Epoch: 39 [13312/48700]	Loss: 0.2814	LR: 0.000800
Training Epoch: 39 [13568/48700]	Loss: 0.3226	LR: 0.000800
Training Epoch: 39 [13824/48700]	Loss: 0.3119	LR: 0.000800
Training Epoch: 39 [14080/48700]	Loss: 0.2332	LR: 0.000800
Training Epoch: 39 [14336/48700]	Loss: 0.2782	LR: 0.000800
Training Epoch: 39 [14592/48700]	Loss: 0.2900	LR: 0.000800
Training Epoch: 39 [14848/48700]	Loss: 0.2762	LR: 0.000800
Training Epoch: 39 [15104/48700]	Loss: 0.2852	LR: 0.000800
Training Epoch: 39 [15360/48700]	Loss: 0.3273	LR: 0.000800
Training Epoch: 39 [15616/48700]	Loss: 0.2183	LR: 0.000800
Training Epoch: 39 [15872/48700]	Loss: 0.2746	LR: 0.000800
Training Epoch: 39 [16128/48700]	Loss: 0.2573	LR: 0.000800
Training Epoch: 39 [16384/48700]	Loss: 0.4105	LR: 0.000800
Training Epoch: 39 [16640/48700]	Loss: 0.2669	LR: 0.000800
Training Epoch: 39 [16896/48700]	Loss: 0.2469	LR: 0.000800
Training Epoch: 39 [17152/48700]	Loss: 0.2679	LR: 0.000800
Training Epoch: 39 [17408/48700]	Loss: 0.3486	LR: 0.000800
Training Epoch: 39 [17664/48700]	Loss: 0.2539	LR: 0.000800
Training Epoch: 39 [17920/48700]	Loss: 0.2870	LR: 0.000800
Training Epoch: 39 [18176/48700]	Loss: 0.2945	LR: 0.000800
Training Epoch: 39 [18432/48700]	Loss: 0.3163	LR: 0.000800
Training Epoch: 39 [18688/48700]	Loss: 0.2633	LR: 0.000800
Training Epoch: 39 [18944/48700]	Loss: 0.2471	LR: 0.000800
Training Epoch: 39 [19200/48700]	Loss: 0.2625	LR: 0.000800
Training Epoch: 39 [19456/48700]	Loss: 0.3646	LR: 0.000800
Training Epoch: 39 [19712/48700]	Loss: 0.3689	LR: 0.000800
Training Epoch: 39 [19968/48700]	Loss: 0.2935	LR: 0.000800
Training Epoch: 39 [20224/48700]	Loss: 0.3371	LR: 0.000800
Training Epoch: 39 [20480/48700]	Loss: 0.2351	LR: 0.000800
Training Epoch: 39 [20736/48700]	Loss: 0.2824	LR: 0.000800
Training Epoch: 39 [20992/48700]	Loss: 0.3347	LR: 0.000800
Training Epoch: 39 [21248/48700]	Loss: 0.2666	LR: 0.000800
Training Epoch: 39 [21504/48700]	Loss: 0.2668	LR: 0.000800
Training Epoch: 39 [21760/48700]	Loss: 0.2929	LR: 0.000800
Training Epoch: 39 [22016/48700]	Loss: 0.2807	LR: 0.000800
Training Epoch: 39 [22272/48700]	Loss: 0.2973	LR: 0.000800
Training Epoch: 39 [22528/48700]	Loss: 0.3428	LR: 0.000800
Training Epoch: 39 [22784/48700]	Loss: 0.3379	LR: 0.000800
Training Epoch: 39 [23040/48700]	Loss: 0.2587	LR: 0.000800
Training Epoch: 39 [23296/48700]	Loss: 0.2345	LR: 0.000800
Training Epoch: 39 [23552/48700]	Loss: 0.2397	LR: 0.000800
Training Epoch: 39 [23808/48700]	Loss: 0.2710	LR: 0.000800
Training Epoch: 39 [24064/48700]	Loss: 0.3028	LR: 0.000800
Training Epoch: 39 [24320/48700]	Loss: 0.2504	LR: 0.000800
Training Epoch: 39 [24576/48700]	Loss: 0.3075	LR: 0.000800
Training Epoch: 39 [24832/48700]	Loss: 0.3673	LR: 0.000800
Training Epoch: 39 [25088/48700]	Loss: 0.2317	LR: 0.000800
Training Epoch: 39 [25344/48700]	Loss: 0.3300	LR: 0.000800
Training Epoch: 39 [25600/48700]	Loss: 0.3355	LR: 0.000800
Training Epoch: 39 [25856/48700]	Loss: 0.3003	LR: 0.000800
Training Epoch: 39 [26112/48700]	Loss: 0.3401	LR: 0.000800
Training Epoch: 39 [26368/48700]	Loss: 0.2721	LR: 0.000800
Training Epoch: 39 [26624/48700]	Loss: 0.2735	LR: 0.000800
Training Epoch: 39 [26880/48700]	Loss: 0.2469	LR: 0.000800
Training Epoch: 39 [27136/48700]	Loss: 0.2382	LR: 0.000800
Training Epoch: 39 [27392/48700]	Loss: 0.2473	LR: 0.000800
Training Epoch: 39 [27648/48700]	Loss: 0.2205	LR: 0.000800
Training Epoch: 39 [27904/48700]	Loss: 0.2499	LR: 0.000800
Training Epoch: 39 [28160/48700]	Loss: 0.2952	LR: 0.000800
Training Epoch: 39 [28416/48700]	Loss: 0.2643	LR: 0.000800
Training Epoch: 39 [28672/48700]	Loss: 0.2919	LR: 0.000800
Training Epoch: 39 [28928/48700]	Loss: 0.3420	LR: 0.000800
Training Epoch: 39 [29184/48700]	Loss: 0.2800	LR: 0.000800
Training Epoch: 39 [29440/48700]	Loss: 0.2705	LR: 0.000800
Training Epoch: 39 [29696/48700]	Loss: 0.3137	LR: 0.000800
Training Epoch: 39 [29952/48700]	Loss: 0.2630	LR: 0.000800
Training Epoch: 39 [30208/48700]	Loss: 0.2501	LR: 0.000800
Training Epoch: 39 [30464/48700]	Loss: 0.2393	LR: 0.000800
Training Epoch: 39 [30720/48700]	Loss: 0.2448	LR: 0.000800
Training Epoch: 39 [30976/48700]	Loss: 0.2973	LR: 0.000800
Training Epoch: 39 [31232/48700]	Loss: 0.2887	LR: 0.000800
Training Epoch: 39 [31488/48700]	Loss: 0.2729	LR: 0.000800
Training Epoch: 39 [31744/48700]	Loss: 0.2795	LR: 0.000800
Training Epoch: 39 [32000/48700]	Loss: 0.2508	LR: 0.000800
Training Epoch: 39 [32256/48700]	Loss: 0.2590	LR: 0.000800
Training Epoch: 39 [32512/48700]	Loss: 0.3066	LR: 0.000800
Training Epoch: 39 [32768/48700]	Loss: 0.3246	LR: 0.000800
Training Epoch: 39 [33024/48700]	Loss: 0.2757	LR: 0.000800
Training Epoch: 39 [33280/48700]	Loss: 0.2518	LR: 0.000800
Training Epoch: 39 [33536/48700]	Loss: 0.2510	LR: 0.000800
Training Epoch: 39 [33792/48700]	Loss: 0.2345	LR: 0.000800
Training Epoch: 39 [34048/48700]	Loss: 0.2567	LR: 0.000800
Training Epoch: 39 [34304/48700]	Loss: 0.2409	LR: 0.000800
Training Epoch: 39 [34560/48700]	Loss: 0.2382	LR: 0.000800
Training Epoch: 39 [34816/48700]	Loss: 0.2650	LR: 0.000800
Training Epoch: 39 [35072/48700]	Loss: 0.2766	LR: 0.000800
Training Epoch: 39 [35328/48700]	Loss: 0.2831	LR: 0.000800
Training Epoch: 39 [35584/48700]	Loss: 0.3176	LR: 0.000800
Training Epoch: 39 [35840/48700]	Loss: 0.2696	LR: 0.000800
Training Epoch: 39 [36096/48700]	Loss: 0.2276	LR: 0.000800
Training Epoch: 39 [36352/48700]	Loss: 0.3088	LR: 0.000800
Training Epoch: 39 [36608/48700]	Loss: 0.2379	LR: 0.000800
Training Epoch: 39 [36864/48700]	Loss: 0.2895	LR: 0.000800
Training Epoch: 39 [37120/48700]	Loss: 0.3161	LR: 0.000800
Training Epoch: 39 [37376/48700]	Loss: 0.3324	LR: 0.000800
Training Epoch: 39 [37632/48700]	Loss: 0.2471	LR: 0.000800
Training Epoch: 39 [37888/48700]	Loss: 0.2598	LR: 0.000800
Training Epoch: 39 [38144/48700]	Loss: 0.3501	LR: 0.000800
Training Epoch: 39 [38400/48700]	Loss: 0.2827	LR: 0.000800
Training Epoch: 39 [38656/48700]	Loss: 0.2704	LR: 0.000800
Training Epoch: 39 [38912/48700]	Loss: 0.2884	LR: 0.000800
Training Epoch: 39 [39168/48700]	Loss: 0.2693	LR: 0.000800
Training Epoch: 39 [39424/48700]	Loss: 0.2838	LR: 0.000800
Training Epoch: 39 [39680/48700]	Loss: 0.2347	LR: 0.000800
Training Epoch: 39 [39936/48700]	Loss: 0.2610	LR: 0.000800
Training Epoch: 39 [40192/48700]	Loss: 0.3084	LR: 0.000800
Training Epoch: 39 [40448/48700]	Loss: 0.3247	LR: 0.000800
Training Epoch: 39 [40704/48700]	Loss: 0.2770	LR: 0.000800
Training Epoch: 39 [40960/48700]	Loss: 0.2864	LR: 0.000800
Training Epoch: 39 [41216/48700]	Loss: 0.2825	LR: 0.000800
Training Epoch: 39 [41472/48700]	Loss: 0.2885	LR: 0.000800
Training Epoch: 39 [41728/48700]	Loss: 0.2571	LR: 0.000800
Training Epoch: 39 [41984/48700]	Loss: 0.2972	LR: 0.000800
Training Epoch: 39 [42240/48700]	Loss: 0.2837	LR: 0.000800
Training Epoch: 39 [42496/48700]	Loss: 0.2283	LR: 0.000800
Training Epoch: 39 [42752/48700]	Loss: 0.3372	LR: 0.000800
Training Epoch: 39 [43008/48700]	Loss: 0.2707	LR: 0.000800
Training Epoch: 39 [43264/48700]	Loss: 0.2652	LR: 0.000800
Training Epoch: 39 [43520/48700]	Loss: 0.2596	LR: 0.000800
Training Epoch: 39 [43776/48700]	Loss: 0.2400	LR: 0.000800
Training Epoch: 39 [44032/48700]	Loss: 0.3303	LR: 0.000800
Training Epoch: 39 [44288/48700]	Loss: 0.2401	LR: 0.000800
Training Epoch: 39 [44544/48700]	Loss: 0.2903	LR: 0.000800
Training Epoch: 39 [44800/48700]	Loss: 0.3070	LR: 0.000800
Training Epoch: 39 [45056/48700]	Loss: 0.2545	LR: 0.000800
Training Epoch: 39 [45312/48700]	Loss: 0.2432	LR: 0.000800
Training Epoch: 39 [45568/48700]	Loss: 0.3016	LR: 0.000800
Training Epoch: 39 [45824/48700]	Loss: 0.2559	LR: 0.000800
Training Epoch: 39 [46080/48700]	Loss: 0.3651	LR: 0.000800
Training Epoch: 39 [46336/48700]	Loss: 0.2858	LR: 0.000800
Training Epoch: 39 [46592/48700]	Loss: 0.2717	LR: 0.000800
Training Epoch: 39 [46848/48700]	Loss: 0.3040	LR: 0.000800
Training Epoch: 39 [47104/48700]	Loss: 0.2553	LR: 0.000800
Training Epoch: 39 [47360/48700]	Loss: 0.2648	LR: 0.000800
Training Epoch: 39 [47616/48700]	Loss: 0.2547	LR: 0.000800
Training Epoch: 39 [47872/48700]	Loss: 0.2779	LR: 0.000800
Training Epoch: 39 [48128/48700]	Loss: 0.2640	LR: 0.000800
Training Epoch: 39 [48384/48700]	Loss: 0.2795	LR: 0.000800
Training Epoch: 39 [48640/48700]	Loss: 0.3058	LR: 0.000800
Training Epoch: 39 [48700/48700]	Loss: 0.3440	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2855, Train Accuracy: 0.9154
Epoch 39 training time consumed: 27.06s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7870, Time consumed:0.90s
Training Epoch: 40 [256/48700]	Loss: 0.3335	LR: 0.000800
Training Epoch: 40 [512/48700]	Loss: 0.2100	LR: 0.000800
Training Epoch: 40 [768/48700]	Loss: 0.3413	LR: 0.000800
Training Epoch: 40 [1024/48700]	Loss: 0.3437	LR: 0.000800
Training Epoch: 40 [1280/48700]	Loss: 0.3174	LR: 0.000800
Training Epoch: 40 [1536/48700]	Loss: 0.2625	LR: 0.000800
Training Epoch: 40 [1792/48700]	Loss: 0.2852	LR: 0.000800
Training Epoch: 40 [2048/48700]	Loss: 0.2685	LR: 0.000800
Training Epoch: 40 [2304/48700]	Loss: 0.3017	LR: 0.000800
Training Epoch: 40 [2560/48700]	Loss: 0.2611	LR: 0.000800
Training Epoch: 40 [2816/48700]	Loss: 0.2691	LR: 0.000800
Training Epoch: 40 [3072/48700]	Loss: 0.2997	LR: 0.000800
Training Epoch: 40 [3328/48700]	Loss: 0.2508	LR: 0.000800
Training Epoch: 40 [3584/48700]	Loss: 0.2555	LR: 0.000800
Training Epoch: 40 [3840/48700]	Loss: 0.2935	LR: 0.000800
Training Epoch: 40 [4096/48700]	Loss: 0.2929	LR: 0.000800
Training Epoch: 40 [4352/48700]	Loss: 0.2436	LR: 0.000800
Training Epoch: 40 [4608/48700]	Loss: 0.2349	LR: 0.000800
Training Epoch: 40 [4864/48700]	Loss: 0.2495	LR: 0.000800
Training Epoch: 40 [5120/48700]	Loss: 0.2688	LR: 0.000800
Training Epoch: 40 [5376/48700]	Loss: 0.2784	LR: 0.000800
Training Epoch: 40 [5632/48700]	Loss: 0.2713	LR: 0.000800
Training Epoch: 40 [5888/48700]	Loss: 0.2866	LR: 0.000800
Training Epoch: 40 [6144/48700]	Loss: 0.2970	LR: 0.000800
Training Epoch: 40 [6400/48700]	Loss: 0.2806	LR: 0.000800
Training Epoch: 40 [6656/48700]	Loss: 0.2473	LR: 0.000800
Training Epoch: 40 [6912/48700]	Loss: 0.2189	LR: 0.000800
Training Epoch: 40 [7168/48700]	Loss: 0.2220	LR: 0.000800
Training Epoch: 40 [7424/48700]	Loss: 0.2241	LR: 0.000800
Training Epoch: 40 [7680/48700]	Loss: 0.2741	LR: 0.000800
Training Epoch: 40 [7936/48700]	Loss: 0.2282	LR: 0.000800
Training Epoch: 40 [8192/48700]	Loss: 0.2985	LR: 0.000800
Training Epoch: 40 [8448/48700]	Loss: 0.2473	LR: 0.000800
Training Epoch: 40 [8704/48700]	Loss: 0.3176	LR: 0.000800
Training Epoch: 40 [8960/48700]	Loss: 0.2151	LR: 0.000800
Training Epoch: 40 [9216/48700]	Loss: 0.3209	LR: 0.000800
Training Epoch: 40 [9472/48700]	Loss: 0.3341	LR: 0.000800
Training Epoch: 40 [9728/48700]	Loss: 0.3311	LR: 0.000800
Training Epoch: 40 [9984/48700]	Loss: 0.2063	LR: 0.000800
Training Epoch: 40 [10240/48700]	Loss: 0.2939	LR: 0.000800
Training Epoch: 40 [10496/48700]	Loss: 0.2536	LR: 0.000800
Training Epoch: 40 [10752/48700]	Loss: 0.2594	LR: 0.000800
Training Epoch: 40 [11008/48700]	Loss: 0.2637	LR: 0.000800
Training Epoch: 40 [11264/48700]	Loss: 0.3083	LR: 0.000800
Training Epoch: 40 [11520/48700]	Loss: 0.3113	LR: 0.000800
Training Epoch: 40 [11776/48700]	Loss: 0.2566	LR: 0.000800
Training Epoch: 40 [12032/48700]	Loss: 0.3099	LR: 0.000800
Training Epoch: 40 [12288/48700]	Loss: 0.3120	LR: 0.000800
Training Epoch: 40 [12544/48700]	Loss: 0.3145	LR: 0.000800
Training Epoch: 40 [12800/48700]	Loss: 0.2741	LR: 0.000800
Training Epoch: 40 [13056/48700]	Loss: 0.2575	LR: 0.000800
Training Epoch: 40 [13312/48700]	Loss: 0.3004	LR: 0.000800
Training Epoch: 40 [13568/48700]	Loss: 0.3163	LR: 0.000800
Training Epoch: 40 [13824/48700]	Loss: 0.2962	LR: 0.000800
Training Epoch: 40 [14080/48700]	Loss: 0.2958	LR: 0.000800
Training Epoch: 40 [14336/48700]	Loss: 0.2297	LR: 0.000800
Training Epoch: 40 [14592/48700]	Loss: 0.2414	LR: 0.000800
Training Epoch: 40 [14848/48700]	Loss: 0.2710	LR: 0.000800
Training Epoch: 40 [15104/48700]	Loss: 0.2924	LR: 0.000800
Training Epoch: 40 [15360/48700]	Loss: 0.3365	LR: 0.000800
Training Epoch: 40 [15616/48700]	Loss: 0.2337	LR: 0.000800
Training Epoch: 40 [15872/48700]	Loss: 0.2857	LR: 0.000800
Training Epoch: 40 [16128/48700]	Loss: 0.3293	LR: 0.000800
Training Epoch: 40 [16384/48700]	Loss: 0.3394	LR: 0.000800
Training Epoch: 40 [16640/48700]	Loss: 0.2822	LR: 0.000800
Training Epoch: 40 [16896/48700]	Loss: 0.2628	LR: 0.000800
Training Epoch: 40 [17152/48700]	Loss: 0.3001	LR: 0.000800
Training Epoch: 40 [17408/48700]	Loss: 0.2883	LR: 0.000800
Training Epoch: 40 [17664/48700]	Loss: 0.2642	LR: 0.000800
Training Epoch: 40 [17920/48700]	Loss: 0.3135	LR: 0.000800
Training Epoch: 40 [18176/48700]	Loss: 0.3381	LR: 0.000800
Training Epoch: 40 [18432/48700]	Loss: 0.2598	LR: 0.000800
Training Epoch: 40 [18688/48700]	Loss: 0.2660	LR: 0.000800
Training Epoch: 40 [18944/48700]	Loss: 0.2854	LR: 0.000800
Training Epoch: 40 [19200/48700]	Loss: 0.3147	LR: 0.000800
Training Epoch: 40 [19456/48700]	Loss: 0.2665	LR: 0.000800
Training Epoch: 40 [19712/48700]	Loss: 0.3387	LR: 0.000800
Training Epoch: 40 [19968/48700]	Loss: 0.3294	LR: 0.000800
Training Epoch: 40 [20224/48700]	Loss: 0.3160	LR: 0.000800
Training Epoch: 40 [20480/48700]	Loss: 0.2749	LR: 0.000800
Training Epoch: 40 [20736/48700]	Loss: 0.2794	LR: 0.000800
Training Epoch: 40 [20992/48700]	Loss: 0.3402	LR: 0.000800
Training Epoch: 40 [21248/48700]	Loss: 0.2770	LR: 0.000800
Training Epoch: 40 [21504/48700]	Loss: 0.2776	LR: 0.000800
Training Epoch: 40 [21760/48700]	Loss: 0.2645	LR: 0.000800
Training Epoch: 40 [22016/48700]	Loss: 0.2453	LR: 0.000800
Training Epoch: 40 [22272/48700]	Loss: 0.2738	LR: 0.000800
Training Epoch: 40 [22528/48700]	Loss: 0.2538	LR: 0.000800
Training Epoch: 40 [22784/48700]	Loss: 0.2740	LR: 0.000800
Training Epoch: 40 [23040/48700]	Loss: 0.3750	LR: 0.000800
Training Epoch: 40 [23296/48700]	Loss: 0.2827	LR: 0.000800
Training Epoch: 40 [23552/48700]	Loss: 0.2726	LR: 0.000800
Training Epoch: 40 [23808/48700]	Loss: 0.2392	LR: 0.000800
Training Epoch: 40 [24064/48700]	Loss: 0.2260	LR: 0.000800
Training Epoch: 40 [24320/48700]	Loss: 0.2498	LR: 0.000800
Training Epoch: 40 [24576/48700]	Loss: 0.3018	LR: 0.000800
Training Epoch: 40 [24832/48700]	Loss: 0.2808	LR: 0.000800
Training Epoch: 40 [25088/48700]	Loss: 0.2516	LR: 0.000800
Training Epoch: 40 [25344/48700]	Loss: 0.2958	LR: 0.000800
Training Epoch: 40 [25600/48700]	Loss: 0.3013	LR: 0.000800
Training Epoch: 40 [25856/48700]	Loss: 0.3175	LR: 0.000800
Training Epoch: 40 [26112/48700]	Loss: 0.3183	LR: 0.000800
Training Epoch: 40 [26368/48700]	Loss: 0.2805	LR: 0.000800
Training Epoch: 40 [26624/48700]	Loss: 0.2709	LR: 0.000800
Training Epoch: 40 [26880/48700]	Loss: 0.2752	LR: 0.000800
Training Epoch: 40 [27136/48700]	Loss: 0.2871	LR: 0.000800
Training Epoch: 40 [27392/48700]	Loss: 0.3082	LR: 0.000800
Training Epoch: 40 [27648/48700]	Loss: 0.1811	LR: 0.000800
Training Epoch: 40 [27904/48700]	Loss: 0.2846	LR: 0.000800
Training Epoch: 40 [28160/48700]	Loss: 0.2981	LR: 0.000800
Training Epoch: 40 [28416/48700]	Loss: 0.2665	LR: 0.000800
Training Epoch: 40 [28672/48700]	Loss: 0.2845	LR: 0.000800
Training Epoch: 40 [28928/48700]	Loss: 0.3016	LR: 0.000800
Training Epoch: 40 [29184/48700]	Loss: 0.2198	LR: 0.000800
Training Epoch: 40 [29440/48700]	Loss: 0.2470	LR: 0.000800
Training Epoch: 40 [29696/48700]	Loss: 0.3288	LR: 0.000800
Training Epoch: 40 [29952/48700]	Loss: 0.2360	LR: 0.000800
Training Epoch: 40 [30208/48700]	Loss: 0.3365	LR: 0.000800
Training Epoch: 40 [30464/48700]	Loss: 0.3120	LR: 0.000800
Training Epoch: 40 [30720/48700]	Loss: 0.2534	LR: 0.000800
Training Epoch: 40 [30976/48700]	Loss: 0.2684	LR: 0.000800
Training Epoch: 40 [31232/48700]	Loss: 0.3122	LR: 0.000800
Training Epoch: 40 [31488/48700]	Loss: 0.2355	LR: 0.000800
Training Epoch: 40 [31744/48700]	Loss: 0.2435	LR: 0.000800
Training Epoch: 40 [32000/48700]	Loss: 0.3048	LR: 0.000800
Training Epoch: 40 [32256/48700]	Loss: 0.2993	LR: 0.000800
Training Epoch: 40 [32512/48700]	Loss: 0.2362	LR: 0.000800
Training Epoch: 40 [32768/48700]	Loss: 0.2928	LR: 0.000800
Training Epoch: 40 [33024/48700]	Loss: 0.2494	LR: 0.000800
Training Epoch: 40 [33280/48700]	Loss: 0.2527	LR: 0.000800
Training Epoch: 40 [33536/48700]	Loss: 0.3139	LR: 0.000800
Training Epoch: 40 [33792/48700]	Loss: 0.3162	LR: 0.000800
Training Epoch: 40 [34048/48700]	Loss: 0.2921	LR: 0.000800
Training Epoch: 40 [34304/48700]	Loss: 0.2901	LR: 0.000800
Training Epoch: 40 [34560/48700]	Loss: 0.2696	LR: 0.000800
Training Epoch: 40 [34816/48700]	Loss: 0.3391	LR: 0.000800
Training Epoch: 40 [35072/48700]	Loss: 0.3026	LR: 0.000800
Training Epoch: 40 [35328/48700]	Loss: 0.2519	LR: 0.000800
Training Epoch: 40 [35584/48700]	Loss: 0.2228	LR: 0.000800
Training Epoch: 40 [35840/48700]	Loss: 0.2750	LR: 0.000800
Training Epoch: 40 [36096/48700]	Loss: 0.3434	LR: 0.000800
Training Epoch: 40 [36352/48700]	Loss: 0.3174	LR: 0.000800
Training Epoch: 40 [36608/48700]	Loss: 0.2841	LR: 0.000800
Training Epoch: 40 [36864/48700]	Loss: 0.2742	LR: 0.000800
Training Epoch: 40 [37120/48700]	Loss: 0.3275	LR: 0.000800
Training Epoch: 40 [37376/48700]	Loss: 0.3084	LR: 0.000800
Training Epoch: 40 [37632/48700]	Loss: 0.2579	LR: 0.000800
Training Epoch: 40 [37888/48700]	Loss: 0.2837	LR: 0.000800
Training Epoch: 40 [38144/48700]	Loss: 0.3295	LR: 0.000800
Training Epoch: 40 [38400/48700]	Loss: 0.2840	LR: 0.000800
Training Epoch: 40 [38656/48700]	Loss: 0.2937	LR: 0.000800
Training Epoch: 40 [38912/48700]	Loss: 0.3037	LR: 0.000800
Training Epoch: 40 [39168/48700]	Loss: 0.2160	LR: 0.000800
Training Epoch: 40 [39424/48700]	Loss: 0.2981	LR: 0.000800
Training Epoch: 40 [39680/48700]	Loss: 0.2960	LR: 0.000800
Training Epoch: 40 [39936/48700]	Loss: 0.2608	LR: 0.000800
Training Epoch: 40 [40192/48700]	Loss: 0.2803	LR: 0.000800
Training Epoch: 40 [40448/48700]	Loss: 0.2750	LR: 0.000800
Training Epoch: 40 [40704/48700]	Loss: 0.2667	LR: 0.000800
Training Epoch: 40 [40960/48700]	Loss: 0.2532	LR: 0.000800
Training Epoch: 40 [41216/48700]	Loss: 0.2971	LR: 0.000800
Training Epoch: 40 [41472/48700]	Loss: 0.2749	LR: 0.000800
Training Epoch: 40 [41728/48700]	Loss: 0.3168	LR: 0.000800
Training Epoch: 40 [41984/48700]	Loss: 0.3412	LR: 0.000800
Training Epoch: 40 [42240/48700]	Loss: 0.2676	LR: 0.000800
Training Epoch: 40 [42496/48700]	Loss: 0.2523	LR: 0.000800
Training Epoch: 40 [42752/48700]	Loss: 0.2889	LR: 0.000800
Training Epoch: 40 [43008/48700]	Loss: 0.2745	LR: 0.000800
Training Epoch: 40 [43264/48700]	Loss: 0.2302	LR: 0.000800
Training Epoch: 40 [43520/48700]	Loss: 0.2296	LR: 0.000800
Training Epoch: 40 [43776/48700]	Loss: 0.2853	LR: 0.000800
Training Epoch: 40 [44032/48700]	Loss: 0.2555	LR: 0.000800
Training Epoch: 40 [44288/48700]	Loss: 0.2831	LR: 0.000800
Training Epoch: 40 [44544/48700]	Loss: 0.2623	LR: 0.000800
Training Epoch: 40 [44800/48700]	Loss: 0.2925	LR: 0.000800
Training Epoch: 40 [45056/48700]	Loss: 0.2600	LR: 0.000800
Training Epoch: 40 [45312/48700]	Loss: 0.3479	LR: 0.000800
Training Epoch: 40 [45568/48700]	Loss: 0.3137	LR: 0.000800
Training Epoch: 40 [45824/48700]	Loss: 0.2611	LR: 0.000800
Training Epoch: 40 [46080/48700]	Loss: 0.3313	LR: 0.000800
Training Epoch: 40 [46336/48700]	Loss: 0.2791	LR: 0.000800
Training Epoch: 40 [46592/48700]	Loss: 0.2728	LR: 0.000800
Training Epoch: 40 [46848/48700]	Loss: 0.2427	LR: 0.000800
Training Epoch: 40 [47104/48700]	Loss: 0.2813	LR: 0.000800
Training Epoch: 40 [47360/48700]	Loss: 0.3237	LR: 0.000800
Training Epoch: 40 [47616/48700]	Loss: 0.3106	LR: 0.000800
Training Epoch: 40 [47872/48700]	Loss: 0.3470	LR: 0.000800
Training Epoch: 40 [48128/48700]	Loss: 0.2421	LR: 0.000800
Training Epoch: 40 [48384/48700]	Loss: 0.3530	LR: 0.000800
Training Epoch: 40 [48640/48700]	Loss: 0.2507	LR: 0.000800
Training Epoch: 40 [48700/48700]	Loss: 0.3662	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2823, Train Accuracy: 0.9160
Epoch 40 training time consumed: 26.88s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.7886, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Tuesday_15_July_2025_10h_02m_47s/AllCNN-Cifar20-seed9-ret75-40-best.pth
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  48700
Forget Train Dl:  1300
Retain Valid Dl:  48700
Forget Valid Dl:  1300
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 1300 samples
Set1 Distribution: 1300 samples
Set2 Distribution: 1300 samples
Set1 Distribution: 1300 samples
Set2 Distribution: 1300 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 78.916015625
Retain Accuracy: 92.36011505126953
Zero-Retain Forget (ZRF): 0.9131322503089905
Membership Inference Attack (MIA): 0.45615384615384613
Forget vs Retain Membership Inference Attack (MIA): 0.6461538461538462
Forget vs Test Membership Inference Attack (MIA): 0.5596153846153846
Test vs Retain Membership Inference Attack (MIA): 0.506
Train vs Test Membership Inference Attack (MIA): 0.554
Forget Set Accuracy (Df): 77.8515625
Method Execution Time: 1615.79 seconds
