
📌 Retain class distribution for seed 7:
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

📌 Forget class distribution for seed 7:
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: 3.0776	LR: 0.000000
Training Epoch: 1 [512/48700]	Loss: 3.0987	LR: 0.000524
Training Epoch: 1 [768/48700]	Loss: 3.0561	LR: 0.001047
Training Epoch: 1 [1024/48700]	Loss: 3.0524	LR: 0.001571
Training Epoch: 1 [1280/48700]	Loss: 3.0616	LR: 0.002094
Training Epoch: 1 [1536/48700]	Loss: 2.9815	LR: 0.002618
Training Epoch: 1 [1792/48700]	Loss: 2.9583	LR: 0.003141
Training Epoch: 1 [2048/48700]	Loss: 2.9711	LR: 0.003665
Training Epoch: 1 [2304/48700]	Loss: 2.9229	LR: 0.004188
Training Epoch: 1 [2560/48700]	Loss: 2.9245	LR: 0.004712
Training Epoch: 1 [2816/48700]	Loss: 2.9625	LR: 0.005236
Training Epoch: 1 [3072/48700]	Loss: 2.9559	LR: 0.005759
Training Epoch: 1 [3328/48700]	Loss: 2.9024	LR: 0.006283
Training Epoch: 1 [3584/48700]	Loss: 2.9549	LR: 0.006806
Training Epoch: 1 [3840/48700]	Loss: 2.9467	LR: 0.007330
Training Epoch: 1 [4096/48700]	Loss: 2.8028	LR: 0.007853
Training Epoch: 1 [4352/48700]	Loss: 2.8807	LR: 0.008377
Training Epoch: 1 [4608/48700]	Loss: 2.7277	LR: 0.008901
Training Epoch: 1 [4864/48700]	Loss: 2.6769	LR: 0.009424
Training Epoch: 1 [5120/48700]	Loss: 2.7149	LR: 0.009948
Training Epoch: 1 [5376/48700]	Loss: 2.7322	LR: 0.010471
Training Epoch: 1 [5632/48700]	Loss: 2.8181	LR: 0.010995
Training Epoch: 1 [5888/48700]	Loss: 2.7433	LR: 0.011518
Training Epoch: 1 [6144/48700]	Loss: 2.7915	LR: 0.012042
Training Epoch: 1 [6400/48700]	Loss: 2.6329	LR: 0.012565
Training Epoch: 1 [6656/48700]	Loss: 2.6471	LR: 0.013089
Training Epoch: 1 [6912/48700]	Loss: 2.6789	LR: 0.013613
Training Epoch: 1 [7168/48700]	Loss: 2.5869	LR: 0.014136
Training Epoch: 1 [7424/48700]	Loss: 2.6639	LR: 0.014660
Training Epoch: 1 [7680/48700]	Loss: 2.6790	LR: 0.015183
Training Epoch: 1 [7936/48700]	Loss: 2.7211	LR: 0.015707
Training Epoch: 1 [8192/48700]	Loss: 2.6471	LR: 0.016230
Training Epoch: 1 [8448/48700]	Loss: 2.6127	LR: 0.016754
Training Epoch: 1 [8704/48700]	Loss: 2.7150	LR: 0.017277
Training Epoch: 1 [8960/48700]	Loss: 2.6469	LR: 0.017801
Training Epoch: 1 [9216/48700]	Loss: 2.7005	LR: 0.018325
Training Epoch: 1 [9472/48700]	Loss: 2.6328	LR: 0.018848
Training Epoch: 1 [9728/48700]	Loss: 2.5795	LR: 0.019372
Training Epoch: 1 [9984/48700]	Loss: 2.6503	LR: 0.019895
Training Epoch: 1 [10240/48700]	Loss: 2.4836	LR: 0.020419
Training Epoch: 1 [10496/48700]	Loss: 2.5440	LR: 0.020942
Training Epoch: 1 [10752/48700]	Loss: 2.5542	LR: 0.021466
Training Epoch: 1 [11008/48700]	Loss: 2.6756	LR: 0.021990
Training Epoch: 1 [11264/48700]	Loss: 2.5895	LR: 0.022513
Training Epoch: 1 [11520/48700]	Loss: 2.6220	LR: 0.023037
Training Epoch: 1 [11776/48700]	Loss: 2.5528	LR: 0.023560
Training Epoch: 1 [12032/48700]	Loss: 2.7675	LR: 0.024084
Training Epoch: 1 [12288/48700]	Loss: 2.6592	LR: 0.024607
Training Epoch: 1 [12544/48700]	Loss: 2.5160	LR: 0.025131
Training Epoch: 1 [12800/48700]	Loss: 2.5719	LR: 0.025654
Training Epoch: 1 [13056/48700]	Loss: 2.5702	LR: 0.026178
Training Epoch: 1 [13312/48700]	Loss: 2.5700	LR: 0.026702
Training Epoch: 1 [13568/48700]	Loss: 2.5072	LR: 0.027225
Training Epoch: 1 [13824/48700]	Loss: 2.6162	LR: 0.027749
Training Epoch: 1 [14080/48700]	Loss: 2.5539	LR: 0.028272
Training Epoch: 1 [14336/48700]	Loss: 2.6375	LR: 0.028796
Training Epoch: 1 [14592/48700]	Loss: 2.5001	LR: 0.029319
Training Epoch: 1 [14848/48700]	Loss: 2.4447	LR: 0.029843
Training Epoch: 1 [15104/48700]	Loss: 2.5522	LR: 0.030366
Training Epoch: 1 [15360/48700]	Loss: 2.5909	LR: 0.030890
Training Epoch: 1 [15616/48700]	Loss: 2.5232	LR: 0.031414
Training Epoch: 1 [15872/48700]	Loss: 2.4576	LR: 0.031937
Training Epoch: 1 [16128/48700]	Loss: 2.6061	LR: 0.032461
Training Epoch: 1 [16384/48700]	Loss: 2.5580	LR: 0.032984
Training Epoch: 1 [16640/48700]	Loss: 2.6545	LR: 0.033508
Training Epoch: 1 [16896/48700]	Loss: 2.6137	LR: 0.034031
Training Epoch: 1 [17152/48700]	Loss: 2.6785	LR: 0.034555
Training Epoch: 1 [17408/48700]	Loss: 2.6619	LR: 0.035079
Training Epoch: 1 [17664/48700]	Loss: 2.6226	LR: 0.035602
Training Epoch: 1 [17920/48700]	Loss: 2.5612	LR: 0.036126
Training Epoch: 1 [18176/48700]	Loss: 2.6983	LR: 0.036649
Training Epoch: 1 [18432/48700]	Loss: 2.5942	LR: 0.037173
Training Epoch: 1 [18688/48700]	Loss: 2.6292	LR: 0.037696
Training Epoch: 1 [18944/48700]	Loss: 2.6832	LR: 0.038220
Training Epoch: 1 [19200/48700]	Loss: 2.5921	LR: 0.038743
Training Epoch: 1 [19456/48700]	Loss: 2.4730	LR: 0.039267
Training Epoch: 1 [19712/48700]	Loss: 2.4013	LR: 0.039791
Training Epoch: 1 [19968/48700]	Loss: 2.5649	LR: 0.040314
Training Epoch: 1 [20224/48700]	Loss: 2.7143	LR: 0.040838
Training Epoch: 1 [20480/48700]	Loss: 2.7404	LR: 0.041361
Training Epoch: 1 [20736/48700]	Loss: 2.5870	LR: 0.041885
Training Epoch: 1 [20992/48700]	Loss: 2.6692	LR: 0.042408
Training Epoch: 1 [21248/48700]	Loss: 2.5030	LR: 0.042932
Training Epoch: 1 [21504/48700]	Loss: 2.4778	LR: 0.043455
Training Epoch: 1 [21760/48700]	Loss: 2.6339	LR: 0.043979
Training Epoch: 1 [22016/48700]	Loss: 2.5583	LR: 0.044503
Training Epoch: 1 [22272/48700]	Loss: 2.6473	LR: 0.045026
Training Epoch: 1 [22528/48700]	Loss: 2.5287	LR: 0.045550
Training Epoch: 1 [22784/48700]	Loss: 2.5653	LR: 0.046073
Training Epoch: 1 [23040/48700]	Loss: 2.4882	LR: 0.046597
Training Epoch: 1 [23296/48700]	Loss: 2.6097	LR: 0.047120
Training Epoch: 1 [23552/48700]	Loss: 2.4354	LR: 0.047644
Training Epoch: 1 [23808/48700]	Loss: 2.3998	LR: 0.048168
Training Epoch: 1 [24064/48700]	Loss: 2.4292	LR: 0.048691
Training Epoch: 1 [24320/48700]	Loss: 2.6475	LR: 0.049215
Training Epoch: 1 [24576/48700]	Loss: 2.4838	LR: 0.049738
Training Epoch: 1 [24832/48700]	Loss: 2.4212	LR: 0.050262
Training Epoch: 1 [25088/48700]	Loss: 2.3536	LR: 0.050785
Training Epoch: 1 [25344/48700]	Loss: 2.4432	LR: 0.051309
Training Epoch: 1 [25600/48700]	Loss: 2.4733	LR: 0.051832
Training Epoch: 1 [25856/48700]	Loss: 2.4341	LR: 0.052356
Training Epoch: 1 [26112/48700]	Loss: 2.5203	LR: 0.052880
Training Epoch: 1 [26368/48700]	Loss: 2.5327	LR: 0.053403
Training Epoch: 1 [26624/48700]	Loss: 2.4149	LR: 0.053927
Training Epoch: 1 [26880/48700]	Loss: 2.4549	LR: 0.054450
Training Epoch: 1 [27136/48700]	Loss: 2.4333	LR: 0.054974
Training Epoch: 1 [27392/48700]	Loss: 2.4226	LR: 0.055497
Training Epoch: 1 [27648/48700]	Loss: 2.3787	LR: 0.056021
Training Epoch: 1 [27904/48700]	Loss: 2.5284	LR: 0.056545
Training Epoch: 1 [28160/48700]	Loss: 2.2914	LR: 0.057068
Training Epoch: 1 [28416/48700]	Loss: 2.5618	LR: 0.057592
Training Epoch: 1 [28672/48700]	Loss: 2.4799	LR: 0.058115
Training Epoch: 1 [28928/48700]	Loss: 2.5490	LR: 0.058639
Training Epoch: 1 [29184/48700]	Loss: 2.4507	LR: 0.059162
Training Epoch: 1 [29440/48700]	Loss: 2.4230	LR: 0.059686
Training Epoch: 1 [29696/48700]	Loss: 2.3988	LR: 0.060209
Training Epoch: 1 [29952/48700]	Loss: 2.4345	LR: 0.060733
Training Epoch: 1 [30208/48700]	Loss: 2.3764	LR: 0.061257
Training Epoch: 1 [30464/48700]	Loss: 2.4615	LR: 0.061780
Training Epoch: 1 [30720/48700]	Loss: 2.4657	LR: 0.062304
Training Epoch: 1 [30976/48700]	Loss: 2.5686	LR: 0.062827
Training Epoch: 1 [31232/48700]	Loss: 2.4779	LR: 0.063351
Training Epoch: 1 [31488/48700]	Loss: 2.4368	LR: 0.063874
Training Epoch: 1 [31744/48700]	Loss: 2.4702	LR: 0.064398
Training Epoch: 1 [32000/48700]	Loss: 2.4175	LR: 0.064921
Training Epoch: 1 [32256/48700]	Loss: 2.4861	LR: 0.065445
Training Epoch: 1 [32512/48700]	Loss: 2.4755	LR: 0.065969
Training Epoch: 1 [32768/48700]	Loss: 2.4237	LR: 0.066492
Training Epoch: 1 [33024/48700]	Loss: 2.2082	LR: 0.067016
Training Epoch: 1 [33280/48700]	Loss: 2.7155	LR: 0.067539
Training Epoch: 1 [33536/48700]	Loss: 2.4182	LR: 0.068063
Training Epoch: 1 [33792/48700]	Loss: 2.3809	LR: 0.068586
Training Epoch: 1 [34048/48700]	Loss: 2.4195	LR: 0.069110
Training Epoch: 1 [34304/48700]	Loss: 2.3959	LR: 0.069634
Training Epoch: 1 [34560/48700]	Loss: 2.3029	LR: 0.070157
Training Epoch: 1 [34816/48700]	Loss: 2.3033	LR: 0.070681
Training Epoch: 1 [35072/48700]	Loss: 2.4401	LR: 0.071204
Training Epoch: 1 [35328/48700]	Loss: 2.3990	LR: 0.071728
Training Epoch: 1 [35584/48700]	Loss: 2.5499	LR: 0.072251
Training Epoch: 1 [35840/48700]	Loss: 2.3992	LR: 0.072775
Training Epoch: 1 [36096/48700]	Loss: 2.4463	LR: 0.073298
Training Epoch: 1 [36352/48700]	Loss: 2.3255	LR: 0.073822
Training Epoch: 1 [36608/48700]	Loss: 2.4694	LR: 0.074346
Training Epoch: 1 [36864/48700]	Loss: 2.3494	LR: 0.074869
Training Epoch: 1 [37120/48700]	Loss: 2.6210	LR: 0.075393
Training Epoch: 1 [37376/48700]	Loss: 2.4025	LR: 0.075916
Training Epoch: 1 [37632/48700]	Loss: 2.3038	LR: 0.076440
Training Epoch: 1 [37888/48700]	Loss: 2.2489	LR: 0.076963
Training Epoch: 1 [38144/48700]	Loss: 2.4834	LR: 0.077487
Training Epoch: 1 [38400/48700]	Loss: 2.2433	LR: 0.078010
Training Epoch: 1 [38656/48700]	Loss: 2.3933	LR: 0.078534
Training Epoch: 1 [38912/48700]	Loss: 2.3214	LR: 0.079058
Training Epoch: 1 [39168/48700]	Loss: 2.3517	LR: 0.079581
Training Epoch: 1 [39424/48700]	Loss: 2.4074	LR: 0.080105
Training Epoch: 1 [39680/48700]	Loss: 2.4809	LR: 0.080628
Training Epoch: 1 [39936/48700]	Loss: 2.2172	LR: 0.081152
Training Epoch: 1 [40192/48700]	Loss: 2.3050	LR: 0.081675
Training Epoch: 1 [40448/48700]	Loss: 2.5156	LR: 0.082199
Training Epoch: 1 [40704/48700]	Loss: 2.4733	LR: 0.082723
Training Epoch: 1 [40960/48700]	Loss: 2.3736	LR: 0.083246
Training Epoch: 1 [41216/48700]	Loss: 2.2776	LR: 0.083770
Training Epoch: 1 [41472/48700]	Loss: 2.3448	LR: 0.084293
Training Epoch: 1 [41728/48700]	Loss: 2.3690	LR: 0.084817
Training Epoch: 1 [41984/48700]	Loss: 2.2865	LR: 0.085340
Training Epoch: 1 [42240/48700]	Loss: 2.2431	LR: 0.085864
Training Epoch: 1 [42496/48700]	Loss: 2.3728	LR: 0.086387
Training Epoch: 1 [42752/48700]	Loss: 2.4354	LR: 0.086911
Training Epoch: 1 [43008/48700]	Loss: 2.4959	LR: 0.087435
Training Epoch: 1 [43264/48700]	Loss: 2.3589	LR: 0.087958
Training Epoch: 1 [43520/48700]	Loss: 2.3867	LR: 0.088482
Training Epoch: 1 [43776/48700]	Loss: 2.2645	LR: 0.089005
Training Epoch: 1 [44032/48700]	Loss: 2.3773	LR: 0.089529
Training Epoch: 1 [44288/48700]	Loss: 2.3996	LR: 0.090052
Training Epoch: 1 [44544/48700]	Loss: 2.3895	LR: 0.090576
Training Epoch: 1 [44800/48700]	Loss: 2.4058	LR: 0.091099
Training Epoch: 1 [45056/48700]	Loss: 2.2637	LR: 0.091623
Training Epoch: 1 [45312/48700]	Loss: 2.3464	LR: 0.092147
Training Epoch: 1 [45568/48700]	Loss: 2.2028	LR: 0.092670
Training Epoch: 1 [45824/48700]	Loss: 2.2431	LR: 0.093194
Training Epoch: 1 [46080/48700]	Loss: 2.3753	LR: 0.093717
Training Epoch: 1 [46336/48700]	Loss: 2.3357	LR: 0.094241
Training Epoch: 1 [46592/48700]	Loss: 2.2709	LR: 0.094764
Training Epoch: 1 [46848/48700]	Loss: 2.2942	LR: 0.095288
Training Epoch: 1 [47104/48700]	Loss: 2.4103	LR: 0.095812
Training Epoch: 1 [47360/48700]	Loss: 2.3361	LR: 0.096335
Training Epoch: 1 [47616/48700]	Loss: 2.4039	LR: 0.096859
Training Epoch: 1 [47872/48700]	Loss: 2.2078	LR: 0.097382
Training Epoch: 1 [48128/48700]	Loss: 2.3278	LR: 0.097906
Training Epoch: 1 [48384/48700]	Loss: 2.3729	LR: 0.098429
Training Epoch: 1 [48640/48700]	Loss: 2.3092	LR: 0.098953
Training Epoch: 1 [48700/48700]	Loss: 2.2025	LR: 0.099476
Epoch 1 - Average Train Loss: 2.5339, Train Accuracy: 0.2195
Epoch 1 training time consumed: 30.41s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0095, Accuracy: 0.2742, Time consumed:1.10s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-1-best.pth
Training Epoch: 2 [256/48700]	Loss: 2.2758	LR: 0.100000
Training Epoch: 2 [512/48700]	Loss: 2.1334	LR: 0.100000
Training Epoch: 2 [768/48700]	Loss: 2.2173	LR: 0.100000
Training Epoch: 2 [1024/48700]	Loss: 2.3414	LR: 0.100000
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Training Epoch: 2 [42496/48700]	Loss: 1.9162	LR: 0.100000
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Training Epoch: 2 [48640/48700]	Loss: 1.9922	LR: 0.100000
Training Epoch: 2 [48700/48700]	Loss: 2.2696	LR: 0.100000
Epoch 2 - Average Train Loss: 2.1345, Train Accuracy: 0.3341
Epoch 2 training time consumed: 29.59s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0085, Accuracy: 0.3462, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-2-best.pth
Training Epoch: 3 [256/48700]	Loss: 2.1254	LR: 0.100000
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Training Epoch: 3 [768/48700]	Loss: 2.0727	LR: 0.100000
Training Epoch: 3 [1024/48700]	Loss: 1.9984	LR: 0.100000
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Training Epoch: 3 [48640/48700]	Loss: 1.8687	LR: 0.100000
Training Epoch: 3 [48700/48700]	Loss: 1.8691	LR: 0.100000
Epoch 3 - Average Train Loss: 1.8755, Train Accuracy: 0.4117
Epoch 3 training time consumed: 29.70s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0077, Accuracy: 0.4094, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-3-best.pth
Training Epoch: 4 [256/48700]	Loss: 1.6577	LR: 0.100000
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Training Epoch: 4 [48700/48700]	Loss: 1.6054	LR: 0.100000
Epoch 4 - Average Train Loss: 1.6770, Train Accuracy: 0.4678
Epoch 4 training time consumed: 29.59s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0067, Accuracy: 0.4861, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-4-best.pth
Training Epoch: 5 [256/48700]	Loss: 1.3717	LR: 0.100000
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Training Epoch: 5 [48700/48700]	Loss: 1.3623	LR: 0.100000
Epoch 5 - Average Train Loss: 1.4994, Train Accuracy: 0.5226
Epoch 5 training time consumed: 29.67s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0061, Accuracy: 0.5135, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-5-best.pth
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Training Epoch: 6 [48700/48700]	Loss: 1.5691	LR: 0.100000
Epoch 6 - Average Train Loss: 1.3659, Train Accuracy: 0.5623
Epoch 6 training time consumed: 29.80s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0062, Accuracy: 0.5273, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-6-best.pth
Training Epoch: 7 [256/48700]	Loss: 1.4050	LR: 0.100000
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Training Epoch: 7 [48700/48700]	Loss: 1.5917	LR: 0.100000
Epoch 7 - Average Train Loss: 1.2736, Train Accuracy: 0.5928
Epoch 7 training time consumed: 29.83s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0054, Accuracy: 0.5745, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-7-best.pth
Training Epoch: 8 [256/48700]	Loss: 1.0997	LR: 0.100000
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Training Epoch: 8 [48700/48700]	Loss: 1.3058	LR: 0.100000
Epoch 8 - Average Train Loss: 1.1832, Train Accuracy: 0.6183
Epoch 8 training time consumed: 29.77s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0047, Accuracy: 0.6208, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-8-best.pth
Training Epoch: 9 [256/48700]	Loss: 1.0004	LR: 0.100000
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Training Epoch: 9 [34304/48700]	Loss: 1.2397	LR: 0.100000
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Training Epoch: 9 [34816/48700]	Loss: 0.9361	LR: 0.100000
Training Epoch: 9 [35072/48700]	Loss: 1.0976	LR: 0.100000
Training Epoch: 9 [35328/48700]	Loss: 0.9459	LR: 0.100000
Training Epoch: 9 [35584/48700]	Loss: 1.1901	LR: 0.100000
Training Epoch: 9 [35840/48700]	Loss: 1.2193	LR: 0.100000
Training Epoch: 9 [36096/48700]	Loss: 1.0813	LR: 0.100000
Training Epoch: 9 [36352/48700]	Loss: 1.1514	LR: 0.100000
Training Epoch: 9 [36608/48700]	Loss: 1.1202	LR: 0.100000
Training Epoch: 9 [36864/48700]	Loss: 1.0569	LR: 0.100000
Training Epoch: 9 [37120/48700]	Loss: 1.0115	LR: 0.100000
Training Epoch: 9 [37376/48700]	Loss: 1.0235	LR: 0.100000
Training Epoch: 9 [37632/48700]	Loss: 1.1088	LR: 0.100000
Training Epoch: 9 [37888/48700]	Loss: 1.1690	LR: 0.100000
Training Epoch: 9 [38144/48700]	Loss: 1.0125	LR: 0.100000
Training Epoch: 9 [38400/48700]	Loss: 1.1445	LR: 0.100000
Training Epoch: 9 [38656/48700]	Loss: 0.9861	LR: 0.100000
Training Epoch: 9 [38912/48700]	Loss: 1.1826	LR: 0.100000
Training Epoch: 9 [39168/48700]	Loss: 0.9610	LR: 0.100000
Training Epoch: 9 [39424/48700]	Loss: 1.0880	LR: 0.100000
Training Epoch: 9 [39680/48700]	Loss: 1.2071	LR: 0.100000
Training Epoch: 9 [39936/48700]	Loss: 1.0706	LR: 0.100000
Training Epoch: 9 [40192/48700]	Loss: 1.3106	LR: 0.100000
Training Epoch: 9 [40448/48700]	Loss: 1.3186	LR: 0.100000
Training Epoch: 9 [40704/48700]	Loss: 1.1455	LR: 0.100000
Training Epoch: 9 [40960/48700]	Loss: 0.9497	LR: 0.100000
Training Epoch: 9 [41216/48700]	Loss: 0.9384	LR: 0.100000
Training Epoch: 9 [41472/48700]	Loss: 1.1782	LR: 0.100000
Training Epoch: 9 [41728/48700]	Loss: 1.0253	LR: 0.100000
Training Epoch: 9 [41984/48700]	Loss: 0.9602	LR: 0.100000
Training Epoch: 9 [42240/48700]	Loss: 0.8288	LR: 0.100000
Training Epoch: 9 [42496/48700]	Loss: 1.1938	LR: 0.100000
Training Epoch: 9 [42752/48700]	Loss: 1.2844	LR: 0.100000
Training Epoch: 9 [43008/48700]	Loss: 1.1021	LR: 0.100000
Training Epoch: 9 [43264/48700]	Loss: 1.1071	LR: 0.100000
Training Epoch: 9 [43520/48700]	Loss: 1.1801	LR: 0.100000
Training Epoch: 9 [43776/48700]	Loss: 0.9707	LR: 0.100000
Training Epoch: 9 [44032/48700]	Loss: 1.1433	LR: 0.100000
Training Epoch: 9 [44288/48700]	Loss: 1.2043	LR: 0.100000
Training Epoch: 9 [44544/48700]	Loss: 1.1441	LR: 0.100000
Training Epoch: 9 [44800/48700]	Loss: 1.1156	LR: 0.100000
Training Epoch: 9 [45056/48700]	Loss: 1.0769	LR: 0.100000
Training Epoch: 9 [45312/48700]	Loss: 1.0391	LR: 0.100000
Training Epoch: 9 [45568/48700]	Loss: 1.0491	LR: 0.100000
Training Epoch: 9 [45824/48700]	Loss: 1.1206	LR: 0.100000
Training Epoch: 9 [46080/48700]	Loss: 1.1610	LR: 0.100000
Training Epoch: 9 [46336/48700]	Loss: 1.0106	LR: 0.100000
Training Epoch: 9 [46592/48700]	Loss: 1.2163	LR: 0.100000
Training Epoch: 9 [46848/48700]	Loss: 1.0499	LR: 0.100000
Training Epoch: 9 [47104/48700]	Loss: 1.1621	LR: 0.100000
Training Epoch: 9 [47360/48700]	Loss: 1.0451	LR: 0.100000
Training Epoch: 9 [47616/48700]	Loss: 1.3585	LR: 0.100000
Training Epoch: 9 [47872/48700]	Loss: 1.0956	LR: 0.100000
Training Epoch: 9 [48128/48700]	Loss: 1.0559	LR: 0.100000
Training Epoch: 9 [48384/48700]	Loss: 1.1272	LR: 0.100000
Training Epoch: 9 [48640/48700]	Loss: 1.1397	LR: 0.100000
Training Epoch: 9 [48700/48700]	Loss: 1.2264	LR: 0.100000
Epoch 9 - Average Train Loss: 1.1039, Train Accuracy: 0.6425
Epoch 9 training time consumed: 29.67s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0052, Accuracy: 0.5951, Time consumed:0.95s
Training Epoch: 10 [256/48700]	Loss: 1.0341	LR: 0.100000
Training Epoch: 10 [512/48700]	Loss: 1.0322	LR: 0.100000
Training Epoch: 10 [768/48700]	Loss: 1.1461	LR: 0.100000
Training Epoch: 10 [1024/48700]	Loss: 1.0101	LR: 0.100000
Training Epoch: 10 [1280/48700]	Loss: 1.1188	LR: 0.100000
Training Epoch: 10 [1536/48700]	Loss: 1.1350	LR: 0.100000
Training Epoch: 10 [1792/48700]	Loss: 1.1847	LR: 0.100000
Training Epoch: 10 [2048/48700]	Loss: 1.1770	LR: 0.100000
Training Epoch: 10 [2304/48700]	Loss: 0.9337	LR: 0.100000
Training Epoch: 10 [2560/48700]	Loss: 1.1049	LR: 0.100000
Training Epoch: 10 [2816/48700]	Loss: 1.0695	LR: 0.100000
Training Epoch: 10 [3072/48700]	Loss: 1.1484	LR: 0.100000
Training Epoch: 10 [3328/48700]	Loss: 1.0575	LR: 0.100000
Training Epoch: 10 [3584/48700]	Loss: 1.0107	LR: 0.100000
Training Epoch: 10 [3840/48700]	Loss: 1.0304	LR: 0.100000
Training Epoch: 10 [4096/48700]	Loss: 1.0493	LR: 0.100000
Training Epoch: 10 [4352/48700]	Loss: 1.0852	LR: 0.100000
Training Epoch: 10 [4608/48700]	Loss: 1.1103	LR: 0.100000
Training Epoch: 10 [4864/48700]	Loss: 1.0854	LR: 0.100000
Training Epoch: 10 [5120/48700]	Loss: 1.1272	LR: 0.100000
Training Epoch: 10 [5376/48700]	Loss: 1.1289	LR: 0.100000
Training Epoch: 10 [5632/48700]	Loss: 1.0802	LR: 0.100000
Training Epoch: 10 [5888/48700]	Loss: 1.1692	LR: 0.100000
Training Epoch: 10 [6144/48700]	Loss: 1.1723	LR: 0.100000
Training Epoch: 10 [6400/48700]	Loss: 1.0550	LR: 0.100000
Training Epoch: 10 [6656/48700]	Loss: 1.0669	LR: 0.100000
Training Epoch: 10 [6912/48700]	Loss: 1.0461	LR: 0.100000
Training Epoch: 10 [7168/48700]	Loss: 1.0605	LR: 0.100000
Training Epoch: 10 [7424/48700]	Loss: 1.0347	LR: 0.100000
Training Epoch: 10 [7680/48700]	Loss: 1.0894	LR: 0.100000
Training Epoch: 10 [7936/48700]	Loss: 1.0380	LR: 0.100000
Training Epoch: 10 [8192/48700]	Loss: 1.0403	LR: 0.100000
Training Epoch: 10 [8448/48700]	Loss: 0.8983	LR: 0.100000
Training Epoch: 10 [8704/48700]	Loss: 1.0278	LR: 0.100000
Training Epoch: 10 [8960/48700]	Loss: 1.0624	LR: 0.100000
Training Epoch: 10 [9216/48700]	Loss: 0.9755	LR: 0.100000
Training Epoch: 10 [9472/48700]	Loss: 0.9488	LR: 0.100000
Training Epoch: 10 [9728/48700]	Loss: 1.1194	LR: 0.100000
Training Epoch: 10 [9984/48700]	Loss: 1.0500	LR: 0.100000
Training Epoch: 10 [10240/48700]	Loss: 1.1335	LR: 0.100000
Training Epoch: 10 [10496/48700]	Loss: 1.0552	LR: 0.100000
Training Epoch: 10 [10752/48700]	Loss: 1.0460	LR: 0.100000
Training Epoch: 10 [11008/48700]	Loss: 1.0599	LR: 0.100000
Training Epoch: 10 [11264/48700]	Loss: 1.0980	LR: 0.100000
Training Epoch: 10 [11520/48700]	Loss: 1.1584	LR: 0.100000
Training Epoch: 10 [11776/48700]	Loss: 1.0163	LR: 0.100000
Training Epoch: 10 [12032/48700]	Loss: 1.0231	LR: 0.100000
Training Epoch: 10 [12288/48700]	Loss: 0.9689	LR: 0.100000
Training Epoch: 10 [12544/48700]	Loss: 1.1126	LR: 0.100000
Training Epoch: 10 [12800/48700]	Loss: 0.8940	LR: 0.100000
Training Epoch: 10 [13056/48700]	Loss: 1.0349	LR: 0.100000
Training Epoch: 10 [13312/48700]	Loss: 1.0681	LR: 0.100000
Training Epoch: 10 [13568/48700]	Loss: 1.0674	LR: 0.100000
Training Epoch: 10 [13824/48700]	Loss: 1.0922	LR: 0.100000
Training Epoch: 10 [14080/48700]	Loss: 1.0801	LR: 0.100000
Training Epoch: 10 [14336/48700]	Loss: 1.1014	LR: 0.100000
Training Epoch: 10 [14592/48700]	Loss: 1.1404	LR: 0.100000
Training Epoch: 10 [14848/48700]	Loss: 1.1191	LR: 0.100000
Training Epoch: 10 [15104/48700]	Loss: 1.0419	LR: 0.100000
Training Epoch: 10 [15360/48700]	Loss: 1.1816	LR: 0.100000
Training Epoch: 10 [15616/48700]	Loss: 0.9858	LR: 0.100000
Training Epoch: 10 [15872/48700]	Loss: 0.9507	LR: 0.100000
Training Epoch: 10 [16128/48700]	Loss: 1.1446	LR: 0.100000
Training Epoch: 10 [16384/48700]	Loss: 1.0684	LR: 0.100000
Training Epoch: 10 [16640/48700]	Loss: 0.8820	LR: 0.100000
Training Epoch: 10 [16896/48700]	Loss: 1.1588	LR: 0.100000
Training Epoch: 10 [17152/48700]	Loss: 1.1145	LR: 0.100000
Training Epoch: 10 [17408/48700]	Loss: 0.8641	LR: 0.100000
Training Epoch: 10 [17664/48700]	Loss: 1.0399	LR: 0.100000
Training Epoch: 10 [17920/48700]	Loss: 1.0870	LR: 0.100000
Training Epoch: 10 [18176/48700]	Loss: 1.1724	LR: 0.100000
Training Epoch: 10 [18432/48700]	Loss: 1.1581	LR: 0.100000
Training Epoch: 10 [18688/48700]	Loss: 1.1736	LR: 0.100000
Training Epoch: 10 [18944/48700]	Loss: 1.0014	LR: 0.100000
Training Epoch: 10 [19200/48700]	Loss: 0.9918	LR: 0.100000
Training Epoch: 10 [19456/48700]	Loss: 1.0668	LR: 0.100000
Training Epoch: 10 [19712/48700]	Loss: 0.9479	LR: 0.100000
Training Epoch: 10 [19968/48700]	Loss: 0.8382	LR: 0.100000
Training Epoch: 10 [20224/48700]	Loss: 1.0114	LR: 0.100000
Training Epoch: 10 [20480/48700]	Loss: 1.0961	LR: 0.100000
Training Epoch: 10 [20736/48700]	Loss: 1.0075	LR: 0.100000
Training Epoch: 10 [20992/48700]	Loss: 1.0428	LR: 0.100000
Training Epoch: 10 [21248/48700]	Loss: 1.2257	LR: 0.100000
Training Epoch: 10 [21504/48700]	Loss: 1.0135	LR: 0.100000
Training Epoch: 10 [21760/48700]	Loss: 0.9856	LR: 0.100000
Training Epoch: 10 [22016/48700]	Loss: 0.9871	LR: 0.100000
Training Epoch: 10 [22272/48700]	Loss: 1.1403	LR: 0.100000
Training Epoch: 10 [22528/48700]	Loss: 1.0479	LR: 0.100000
Training Epoch: 10 [22784/48700]	Loss: 1.0398	LR: 0.100000
Training Epoch: 10 [23040/48700]	Loss: 1.0616	LR: 0.100000
Training Epoch: 10 [23296/48700]	Loss: 1.1218	LR: 0.100000
Training Epoch: 10 [23552/48700]	Loss: 1.0725	LR: 0.100000
Training Epoch: 10 [23808/48700]	Loss: 0.8774	LR: 0.100000
Training Epoch: 10 [24064/48700]	Loss: 1.0357	LR: 0.100000
Training Epoch: 10 [24320/48700]	Loss: 1.1043	LR: 0.100000
Training Epoch: 10 [24576/48700]	Loss: 0.9270	LR: 0.100000
Training Epoch: 10 [24832/48700]	Loss: 0.8627	LR: 0.100000
Training Epoch: 10 [25088/48700]	Loss: 1.0304	LR: 0.100000
Training Epoch: 10 [25344/48700]	Loss: 1.0324	LR: 0.100000
Training Epoch: 10 [25600/48700]	Loss: 1.0180	LR: 0.100000
Training Epoch: 10 [25856/48700]	Loss: 1.0312	LR: 0.100000
Training Epoch: 10 [26112/48700]	Loss: 0.8947	LR: 0.100000
Training Epoch: 10 [26368/48700]	Loss: 0.9864	LR: 0.100000
Training Epoch: 10 [26624/48700]	Loss: 0.9726	LR: 0.100000
Training Epoch: 10 [26880/48700]	Loss: 1.0838	LR: 0.100000
Training Epoch: 10 [27136/48700]	Loss: 1.0064	LR: 0.100000
Training Epoch: 10 [27392/48700]	Loss: 1.2196	LR: 0.100000
Training Epoch: 10 [27648/48700]	Loss: 0.8526	LR: 0.100000
Training Epoch: 10 [27904/48700]	Loss: 0.9996	LR: 0.100000
Training Epoch: 10 [28160/48700]	Loss: 1.0348	LR: 0.100000
Training Epoch: 10 [28416/48700]	Loss: 1.0014	LR: 0.100000
Training Epoch: 10 [28672/48700]	Loss: 1.0829	LR: 0.100000
Training Epoch: 10 [28928/48700]	Loss: 1.0648	LR: 0.100000
Training Epoch: 10 [29184/48700]	Loss: 1.1562	LR: 0.100000
Training Epoch: 10 [29440/48700]	Loss: 0.9609	LR: 0.100000
Training Epoch: 10 [29696/48700]	Loss: 1.1551	LR: 0.100000
Training Epoch: 10 [29952/48700]	Loss: 0.9588	LR: 0.100000
Training Epoch: 10 [30208/48700]	Loss: 1.0522	LR: 0.100000
Training Epoch: 10 [30464/48700]	Loss: 0.9835	LR: 0.100000
Training Epoch: 10 [30720/48700]	Loss: 1.0254	LR: 0.100000
Training Epoch: 10 [30976/48700]	Loss: 1.0986	LR: 0.100000
Training Epoch: 10 [31232/48700]	Loss: 1.0061	LR: 0.100000
Training Epoch: 10 [31488/48700]	Loss: 1.0572	LR: 0.100000
Training Epoch: 10 [31744/48700]	Loss: 0.9479	LR: 0.100000
Training Epoch: 10 [32000/48700]	Loss: 0.9677	LR: 0.100000
Training Epoch: 10 [32256/48700]	Loss: 0.9912	LR: 0.100000
Training Epoch: 10 [32512/48700]	Loss: 1.0906	LR: 0.100000
Training Epoch: 10 [32768/48700]	Loss: 1.1506	LR: 0.100000
Training Epoch: 10 [33024/48700]	Loss: 1.0873	LR: 0.100000
Training Epoch: 10 [33280/48700]	Loss: 0.9526	LR: 0.100000
Training Epoch: 10 [33536/48700]	Loss: 0.9732	LR: 0.100000
Training Epoch: 10 [33792/48700]	Loss: 1.0295	LR: 0.100000
Training Epoch: 10 [34048/48700]	Loss: 0.9754	LR: 0.100000
Training Epoch: 10 [34304/48700]	Loss: 1.0808	LR: 0.100000
Training Epoch: 10 [34560/48700]	Loss: 1.0326	LR: 0.100000
Training Epoch: 10 [34816/48700]	Loss: 0.9841	LR: 0.100000
Training Epoch: 10 [35072/48700]	Loss: 1.0312	LR: 0.100000
Training Epoch: 10 [35328/48700]	Loss: 1.1528	LR: 0.100000
Training Epoch: 10 [35584/48700]	Loss: 1.0114	LR: 0.100000
Training Epoch: 10 [35840/48700]	Loss: 1.0102	LR: 0.100000
Training Epoch: 10 [36096/48700]	Loss: 1.0207	LR: 0.100000
Training Epoch: 10 [36352/48700]	Loss: 0.9611	LR: 0.100000
Training Epoch: 10 [36608/48700]	Loss: 1.1119	LR: 0.100000
Training Epoch: 10 [36864/48700]	Loss: 1.0646	LR: 0.100000
Training Epoch: 10 [37120/48700]	Loss: 1.1265	LR: 0.100000
Training Epoch: 10 [37376/48700]	Loss: 1.2001	LR: 0.100000
Training Epoch: 10 [37632/48700]	Loss: 1.0728	LR: 0.100000
Training Epoch: 10 [37888/48700]	Loss: 1.1362	LR: 0.100000
Training Epoch: 10 [38144/48700]	Loss: 0.9874	LR: 0.100000
Training Epoch: 10 [38400/48700]	Loss: 1.1269	LR: 0.100000
Training Epoch: 10 [38656/48700]	Loss: 1.0393	LR: 0.100000
Training Epoch: 10 [38912/48700]	Loss: 0.9925	LR: 0.100000
Training Epoch: 10 [39168/48700]	Loss: 1.1718	LR: 0.100000
Training Epoch: 10 [39424/48700]	Loss: 1.0768	LR: 0.100000
Training Epoch: 10 [39680/48700]	Loss: 1.0355	LR: 0.100000
Training Epoch: 10 [39936/48700]	Loss: 1.0327	LR: 0.100000
Training Epoch: 10 [40192/48700]	Loss: 1.0644	LR: 0.100000
Training Epoch: 10 [40448/48700]	Loss: 1.0050	LR: 0.100000
Training Epoch: 10 [40704/48700]	Loss: 1.0409	LR: 0.100000
Training Epoch: 10 [40960/48700]	Loss: 0.9712	LR: 0.100000
Training Epoch: 10 [41216/48700]	Loss: 1.0475	LR: 0.100000
Training Epoch: 10 [41472/48700]	Loss: 0.8324	LR: 0.100000
Training Epoch: 10 [41728/48700]	Loss: 0.9791	LR: 0.100000
Training Epoch: 10 [41984/48700]	Loss: 0.9118	LR: 0.100000
Training Epoch: 10 [42240/48700]	Loss: 0.9984	LR: 0.100000
Training Epoch: 10 [42496/48700]	Loss: 0.9944	LR: 0.100000
Training Epoch: 10 [42752/48700]	Loss: 0.9285	LR: 0.100000
Training Epoch: 10 [43008/48700]	Loss: 1.1224	LR: 0.100000
Training Epoch: 10 [43264/48700]	Loss: 0.9428	LR: 0.100000
Training Epoch: 10 [43520/48700]	Loss: 1.0120	LR: 0.100000
Training Epoch: 10 [43776/48700]	Loss: 0.9304	LR: 0.100000
Training Epoch: 10 [44032/48700]	Loss: 0.9642	LR: 0.100000
Training Epoch: 10 [44288/48700]	Loss: 0.9169	LR: 0.100000
Training Epoch: 10 [44544/48700]	Loss: 0.9929	LR: 0.100000
Training Epoch: 10 [44800/48700]	Loss: 1.0332	LR: 0.100000
Training Epoch: 10 [45056/48700]	Loss: 0.8779	LR: 0.100000
Training Epoch: 10 [45312/48700]	Loss: 1.0061	LR: 0.100000
Training Epoch: 10 [45568/48700]	Loss: 0.9161	LR: 0.100000
Training Epoch: 10 [45824/48700]	Loss: 0.9636	LR: 0.100000
Training Epoch: 10 [46080/48700]	Loss: 0.8834	LR: 0.100000
Training Epoch: 10 [46336/48700]	Loss: 1.0755	LR: 0.100000
Training Epoch: 10 [46592/48700]	Loss: 0.9599	LR: 0.100000
Training Epoch: 10 [46848/48700]	Loss: 1.0071	LR: 0.100000
Training Epoch: 10 [47104/48700]	Loss: 1.1302	LR: 0.100000
Training Epoch: 10 [47360/48700]	Loss: 1.0839	LR: 0.100000
Training Epoch: 10 [47616/48700]	Loss: 1.1185	LR: 0.100000
Training Epoch: 10 [47872/48700]	Loss: 1.1459	LR: 0.100000
Training Epoch: 10 [48128/48700]	Loss: 1.1343	LR: 0.100000
Training Epoch: 10 [48384/48700]	Loss: 1.0980	LR: 0.100000
Training Epoch: 10 [48640/48700]	Loss: 0.9692	LR: 0.100000
Training Epoch: 10 [48700/48700]	Loss: 1.3044	LR: 0.100000
Epoch 10 - Average Train Loss: 1.0422, Train Accuracy: 0.6630
Epoch 10 training time consumed: 30.04s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0052, Accuracy: 0.5998, Time consumed:0.93s
Training Epoch: 11 [256/48700]	Loss: 1.1816	LR: 0.100000
Training Epoch: 11 [512/48700]	Loss: 1.0014	LR: 0.100000
Training Epoch: 11 [768/48700]	Loss: 1.1175	LR: 0.100000
Training Epoch: 11 [1024/48700]	Loss: 1.1289	LR: 0.100000
Training Epoch: 11 [1280/48700]	Loss: 1.0184	LR: 0.100000
Training Epoch: 11 [1536/48700]	Loss: 1.2243	LR: 0.100000
Training Epoch: 11 [1792/48700]	Loss: 1.1408	LR: 0.100000
Training Epoch: 11 [2048/48700]	Loss: 0.9645	LR: 0.100000
Training Epoch: 11 [2304/48700]	Loss: 1.0065	LR: 0.100000
Training Epoch: 11 [2560/48700]	Loss: 0.9799	LR: 0.100000
Training Epoch: 11 [2816/48700]	Loss: 1.0446	LR: 0.100000
Training Epoch: 11 [3072/48700]	Loss: 0.9023	LR: 0.100000
Training Epoch: 11 [3328/48700]	Loss: 1.0858	LR: 0.100000
Training Epoch: 11 [3584/48700]	Loss: 1.0495	LR: 0.100000
Training Epoch: 11 [3840/48700]	Loss: 1.0073	LR: 0.100000
Training Epoch: 11 [4096/48700]	Loss: 1.0320	LR: 0.100000
Training Epoch: 11 [4352/48700]	Loss: 0.9147	LR: 0.100000
Training Epoch: 11 [4608/48700]	Loss: 0.9258	LR: 0.100000
Training Epoch: 11 [4864/48700]	Loss: 1.0530	LR: 0.100000
Training Epoch: 11 [5120/48700]	Loss: 0.9879	LR: 0.100000
Training Epoch: 11 [5376/48700]	Loss: 1.0725	LR: 0.100000
Training Epoch: 11 [5632/48700]	Loss: 0.9605	LR: 0.100000
Training Epoch: 11 [5888/48700]	Loss: 0.9509	LR: 0.100000
Training Epoch: 11 [6144/48700]	Loss: 0.8466	LR: 0.100000
Training Epoch: 11 [6400/48700]	Loss: 0.9100	LR: 0.100000
Training Epoch: 11 [6656/48700]	Loss: 1.0815	LR: 0.100000
Training Epoch: 11 [6912/48700]	Loss: 0.9698	LR: 0.100000
Training Epoch: 11 [7168/48700]	Loss: 1.0542	LR: 0.100000
Training Epoch: 11 [7424/48700]	Loss: 0.9872	LR: 0.100000
Training Epoch: 11 [7680/48700]	Loss: 0.9007	LR: 0.100000
Training Epoch: 11 [7936/48700]	Loss: 1.0592	LR: 0.100000
Training Epoch: 11 [8192/48700]	Loss: 0.9380	LR: 0.100000
Training Epoch: 11 [8448/48700]	Loss: 1.1237	LR: 0.100000
Training Epoch: 11 [8704/48700]	Loss: 1.1626	LR: 0.100000
Training Epoch: 11 [8960/48700]	Loss: 0.8985	LR: 0.100000
Training Epoch: 11 [9216/48700]	Loss: 0.9205	LR: 0.100000
Training Epoch: 11 [9472/48700]	Loss: 1.0505	LR: 0.100000
Training Epoch: 11 [9728/48700]	Loss: 0.9734	LR: 0.100000
Training Epoch: 11 [9984/48700]	Loss: 0.9809	LR: 0.100000
Training Epoch: 11 [10240/48700]	Loss: 1.0366	LR: 0.100000
Training Epoch: 11 [10496/48700]	Loss: 0.9137	LR: 0.100000
Training Epoch: 11 [10752/48700]	Loss: 0.9556	LR: 0.100000
Training Epoch: 11 [11008/48700]	Loss: 1.0649	LR: 0.100000
Training Epoch: 11 [11264/48700]	Loss: 0.8867	LR: 0.100000
Training Epoch: 11 [11520/48700]	Loss: 0.8807	LR: 0.100000
Training Epoch: 11 [11776/48700]	Loss: 1.0238	LR: 0.100000
Training Epoch: 11 [12032/48700]	Loss: 0.9888	LR: 0.100000
Training Epoch: 11 [12288/48700]	Loss: 1.0911	LR: 0.100000
Training Epoch: 11 [12544/48700]	Loss: 1.0269	LR: 0.100000
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Training Epoch: 11 [48700/48700]	Loss: 1.0990	LR: 0.100000
Epoch 11 - Average Train Loss: 1.0004, Train Accuracy: 0.6762
Epoch 11 training time consumed: 29.74s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0045, Accuracy: 0.6371, Time consumed:0.99s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-11-best.pth
Training Epoch: 12 [256/48700]	Loss: 0.7849	LR: 0.100000
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Training Epoch: 12 [48640/48700]	Loss: 1.1634	LR: 0.100000
Training Epoch: 12 [48700/48700]	Loss: 0.7132	LR: 0.100000
Epoch 12 - Average Train Loss: 0.9580, Train Accuracy: 0.6890
Epoch 12 training time consumed: 29.79s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0043, Accuracy: 0.6596, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-12-best.pth
Training Epoch: 13 [256/48700]	Loss: 0.9361	LR: 0.100000
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Training Epoch: 13 [48700/48700]	Loss: 1.0900	LR: 0.100000
Epoch 13 - Average Train Loss: 0.9156, Train Accuracy: 0.7027
Epoch 13 training time consumed: 29.78s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0050, Accuracy: 0.6206, Time consumed:0.92s
Training Epoch: 14 [256/48700]	Loss: 0.8996	LR: 0.100000
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Training Epoch: 14 [48700/48700]	Loss: 0.8640	LR: 0.100000
Epoch 14 - Average Train Loss: 0.9009, Train Accuracy: 0.7085
Epoch 14 training time consumed: 29.96s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0042, Accuracy: 0.6607, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-14-best.pth
Training Epoch: 15 [256/48700]	Loss: 0.7223	LR: 0.020000
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Training Epoch: 15 [46336/48700]	Loss: 0.7189	LR: 0.020000
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Training Epoch: 15 [47104/48700]	Loss: 0.6219	LR: 0.020000
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Training Epoch: 15 [47872/48700]	Loss: 0.6474	LR: 0.020000
Training Epoch: 15 [48128/48700]	Loss: 0.6988	LR: 0.020000
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Training Epoch: 15 [48640/48700]	Loss: 0.6324	LR: 0.020000
Training Epoch: 15 [48700/48700]	Loss: 0.6067	LR: 0.020000
Epoch 15 - Average Train Loss: 0.6560, Train Accuracy: 0.7870
Epoch 15 training time consumed: 29.74s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0029, Accuracy: 0.7625, Time consumed:0.96s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-15-best.pth
Training Epoch: 16 [256/48700]	Loss: 0.6500	LR: 0.020000
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Training Epoch: 16 [48640/48700]	Loss: 0.6449	LR: 0.020000
Training Epoch: 16 [48700/48700]	Loss: 0.6929	LR: 0.020000
Epoch 16 - Average Train Loss: 0.5729, Train Accuracy: 0.8144
Epoch 16 training time consumed: 29.69s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0030, Accuracy: 0.7646, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-16-best.pth
Training Epoch: 17 [256/48700]	Loss: 0.6056	LR: 0.020000
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Training Epoch: 17 [48700/48700]	Loss: 0.6615	LR: 0.020000
Epoch 17 - Average Train Loss: 0.5403, Train Accuracy: 0.8225
Epoch 17 training time consumed: 29.80s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0028, Accuracy: 0.7720, Time consumed:0.92s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-17-best.pth
Training Epoch: 18 [256/48700]	Loss: 0.5299	LR: 0.020000
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Training Epoch: 18 [40704/48700]	Loss: 0.5325	LR: 0.020000
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Training Epoch: 18 [45312/48700]	Loss: 0.4825	LR: 0.020000
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Training Epoch: 18 [46080/48700]	Loss: 0.4752	LR: 0.020000
Training Epoch: 18 [46336/48700]	Loss: 0.5770	LR: 0.020000
Training Epoch: 18 [46592/48700]	Loss: 0.5949	LR: 0.020000
Training Epoch: 18 [46848/48700]	Loss: 0.4646	LR: 0.020000
Training Epoch: 18 [47104/48700]	Loss: 0.6310	LR: 0.020000
Training Epoch: 18 [47360/48700]	Loss: 0.4852	LR: 0.020000
Training Epoch: 18 [47616/48700]	Loss: 0.4041	LR: 0.020000
Training Epoch: 18 [47872/48700]	Loss: 0.5251	LR: 0.020000
Training Epoch: 18 [48128/48700]	Loss: 0.5538	LR: 0.020000
Training Epoch: 18 [48384/48700]	Loss: 0.5728	LR: 0.020000
Training Epoch: 18 [48640/48700]	Loss: 0.5151	LR: 0.020000
Training Epoch: 18 [48700/48700]	Loss: 0.6514	LR: 0.020000
Epoch 18 - Average Train Loss: 0.5096, Train Accuracy: 0.8343
Epoch 18 training time consumed: 30.30s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0029, Accuracy: 0.7728, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-18-best.pth
Training Epoch: 19 [256/48700]	Loss: 0.4935	LR: 0.020000
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Training Epoch: 19 [768/48700]	Loss: 0.5293	LR: 0.020000
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Training Epoch: 19 [47104/48700]	Loss: 0.5467	LR: 0.020000
Training Epoch: 19 [47360/48700]	Loss: 0.5985	LR: 0.020000
Training Epoch: 19 [47616/48700]	Loss: 0.4652	LR: 0.020000
Training Epoch: 19 [47872/48700]	Loss: 0.5292	LR: 0.020000
Training Epoch: 19 [48128/48700]	Loss: 0.5067	LR: 0.020000
Training Epoch: 19 [48384/48700]	Loss: 0.4586	LR: 0.020000
Training Epoch: 19 [48640/48700]	Loss: 0.4936	LR: 0.020000
Training Epoch: 19 [48700/48700]	Loss: 0.5965	LR: 0.020000
Epoch 19 - Average Train Loss: 0.4866, Train Accuracy: 0.8406
Epoch 19 training time consumed: 29.80s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0029, Accuracy: 0.7689, Time consumed:0.92s
Training Epoch: 20 [256/48700]	Loss: 0.4578	LR: 0.020000
Training Epoch: 20 [512/48700]	Loss: 0.5060	LR: 0.020000
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Training Epoch: 20 [1024/48700]	Loss: 0.4346	LR: 0.020000
Training Epoch: 20 [1280/48700]	Loss: 0.3980	LR: 0.020000
Training Epoch: 20 [1536/48700]	Loss: 0.5013	LR: 0.020000
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Training Epoch: 20 [15360/48700]	Loss: 0.3995	LR: 0.020000
Training Epoch: 20 [15616/48700]	Loss: 0.4926	LR: 0.020000
Training Epoch: 20 [15872/48700]	Loss: 0.5456	LR: 0.020000
Training Epoch: 20 [16128/48700]	Loss: 0.4893	LR: 0.020000
Training Epoch: 20 [16384/48700]	Loss: 0.4915	LR: 0.020000
Training Epoch: 20 [16640/48700]	Loss: 0.4706	LR: 0.020000
Training Epoch: 20 [16896/48700]	Loss: 0.4273	LR: 0.020000
Training Epoch: 20 [17152/48700]	Loss: 0.4732	LR: 0.020000
Training Epoch: 20 [17408/48700]	Loss: 0.4730	LR: 0.020000
Training Epoch: 20 [17664/48700]	Loss: 0.4565	LR: 0.020000
Training Epoch: 20 [17920/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 20 [18176/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 20 [18432/48700]	Loss: 0.5149	LR: 0.020000
Training Epoch: 20 [18688/48700]	Loss: 0.4183	LR: 0.020000
Training Epoch: 20 [18944/48700]	Loss: 0.5299	LR: 0.020000
Training Epoch: 20 [19200/48700]	Loss: 0.3692	LR: 0.020000
Training Epoch: 20 [19456/48700]	Loss: 0.4104	LR: 0.020000
Training Epoch: 20 [19712/48700]	Loss: 0.3731	LR: 0.020000
Training Epoch: 20 [19968/48700]	Loss: 0.5230	LR: 0.020000
Training Epoch: 20 [20224/48700]	Loss: 0.4634	LR: 0.020000
Training Epoch: 20 [20480/48700]	Loss: 0.4585	LR: 0.020000
Training Epoch: 20 [20736/48700]	Loss: 0.4357	LR: 0.020000
Training Epoch: 20 [20992/48700]	Loss: 0.4686	LR: 0.020000
Training Epoch: 20 [21248/48700]	Loss: 0.4573	LR: 0.020000
Training Epoch: 20 [21504/48700]	Loss: 0.4685	LR: 0.020000
Training Epoch: 20 [21760/48700]	Loss: 0.3304	LR: 0.020000
Training Epoch: 20 [22016/48700]	Loss: 0.4899	LR: 0.020000
Training Epoch: 20 [22272/48700]	Loss: 0.4221	LR: 0.020000
Training Epoch: 20 [22528/48700]	Loss: 0.5043	LR: 0.020000
Training Epoch: 20 [22784/48700]	Loss: 0.5113	LR: 0.020000
Training Epoch: 20 [23040/48700]	Loss: 0.4661	LR: 0.020000
Training Epoch: 20 [23296/48700]	Loss: 0.5356	LR: 0.020000
Training Epoch: 20 [23552/48700]	Loss: 0.4813	LR: 0.020000
Training Epoch: 20 [23808/48700]	Loss: 0.4106	LR: 0.020000
Training Epoch: 20 [24064/48700]	Loss: 0.3598	LR: 0.020000
Training Epoch: 20 [24320/48700]	Loss: 0.4349	LR: 0.020000
Training Epoch: 20 [24576/48700]	Loss: 0.4152	LR: 0.020000
Training Epoch: 20 [24832/48700]	Loss: 0.4483	LR: 0.020000
Training Epoch: 20 [25088/48700]	Loss: 0.4694	LR: 0.020000
Training Epoch: 20 [25344/48700]	Loss: 0.4168	LR: 0.020000
Training Epoch: 20 [25600/48700]	Loss: 0.4408	LR: 0.020000
Training Epoch: 20 [25856/48700]	Loss: 0.3613	LR: 0.020000
Training Epoch: 20 [26112/48700]	Loss: 0.4581	LR: 0.020000
Training Epoch: 20 [26368/48700]	Loss: 0.4646	LR: 0.020000
Training Epoch: 20 [26624/48700]	Loss: 0.4158	LR: 0.020000
Training Epoch: 20 [26880/48700]	Loss: 0.4073	LR: 0.020000
Training Epoch: 20 [27136/48700]	Loss: 0.5251	LR: 0.020000
Training Epoch: 20 [27392/48700]	Loss: 0.4560	LR: 0.020000
Training Epoch: 20 [27648/48700]	Loss: 0.3677	LR: 0.020000
Training Epoch: 20 [27904/48700]	Loss: 0.4586	LR: 0.020000
Training Epoch: 20 [28160/48700]	Loss: 0.4540	LR: 0.020000
Training Epoch: 20 [28416/48700]	Loss: 0.4890	LR: 0.020000
Training Epoch: 20 [28672/48700]	Loss: 0.5655	LR: 0.020000
Training Epoch: 20 [28928/48700]	Loss: 0.4953	LR: 0.020000
Training Epoch: 20 [29184/48700]	Loss: 0.4804	LR: 0.020000
Training Epoch: 20 [29440/48700]	Loss: 0.4901	LR: 0.020000
Training Epoch: 20 [29696/48700]	Loss: 0.4670	LR: 0.020000
Training Epoch: 20 [29952/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 20 [30208/48700]	Loss: 0.4095	LR: 0.020000
Training Epoch: 20 [30464/48700]	Loss: 0.5503	LR: 0.020000
Training Epoch: 20 [30720/48700]	Loss: 0.4889	LR: 0.020000
Training Epoch: 20 [30976/48700]	Loss: 0.4630	LR: 0.020000
Training Epoch: 20 [31232/48700]	Loss: 0.4477	LR: 0.020000
Training Epoch: 20 [31488/48700]	Loss: 0.4791	LR: 0.020000
Training Epoch: 20 [31744/48700]	Loss: 0.4673	LR: 0.020000
Training Epoch: 20 [32000/48700]	Loss: 0.4858	LR: 0.020000
Training Epoch: 20 [32256/48700]	Loss: 0.4475	LR: 0.020000
Training Epoch: 20 [32512/48700]	Loss: 0.4596	LR: 0.020000
Training Epoch: 20 [32768/48700]	Loss: 0.4892	LR: 0.020000
Training Epoch: 20 [33024/48700]	Loss: 0.4943	LR: 0.020000
Training Epoch: 20 [33280/48700]	Loss: 0.3810	LR: 0.020000
Training Epoch: 20 [33536/48700]	Loss: 0.3622	LR: 0.020000
Training Epoch: 20 [33792/48700]	Loss: 0.5039	LR: 0.020000
Training Epoch: 20 [34048/48700]	Loss: 0.3829	LR: 0.020000
Training Epoch: 20 [34304/48700]	Loss: 0.5678	LR: 0.020000
Training Epoch: 20 [34560/48700]	Loss: 0.4212	LR: 0.020000
Training Epoch: 20 [34816/48700]	Loss: 0.4449	LR: 0.020000
Training Epoch: 20 [35072/48700]	Loss: 0.5096	LR: 0.020000
Training Epoch: 20 [35328/48700]	Loss: 0.5253	LR: 0.020000
Training Epoch: 20 [35584/48700]	Loss: 0.4947	LR: 0.020000
Training Epoch: 20 [35840/48700]	Loss: 0.3367	LR: 0.020000
Training Epoch: 20 [36096/48700]	Loss: 0.4172	LR: 0.020000
Training Epoch: 20 [36352/48700]	Loss: 0.4455	LR: 0.020000
Training Epoch: 20 [36608/48700]	Loss: 0.4154	LR: 0.020000
Training Epoch: 20 [36864/48700]	Loss: 0.4618	LR: 0.020000
Training Epoch: 20 [37120/48700]	Loss: 0.4893	LR: 0.020000
Training Epoch: 20 [37376/48700]	Loss: 0.5609	LR: 0.020000
Training Epoch: 20 [37632/48700]	Loss: 0.4798	LR: 0.020000
Training Epoch: 20 [37888/48700]	Loss: 0.3936	LR: 0.020000
Training Epoch: 20 [38144/48700]	Loss: 0.3562	LR: 0.020000
Training Epoch: 20 [38400/48700]	Loss: 0.4099	LR: 0.020000
Training Epoch: 20 [38656/48700]	Loss: 0.4033	LR: 0.020000
Training Epoch: 20 [38912/48700]	Loss: 0.4971	LR: 0.020000
Training Epoch: 20 [39168/48700]	Loss: 0.4942	LR: 0.020000
Training Epoch: 20 [39424/48700]	Loss: 0.5059	LR: 0.020000
Training Epoch: 20 [39680/48700]	Loss: 0.5388	LR: 0.020000
Training Epoch: 20 [39936/48700]	Loss: 0.5086	LR: 0.020000
Training Epoch: 20 [40192/48700]	Loss: 0.4159	LR: 0.020000
Training Epoch: 20 [40448/48700]	Loss: 0.3716	LR: 0.020000
Training Epoch: 20 [40704/48700]	Loss: 0.4741	LR: 0.020000
Training Epoch: 20 [40960/48700]	Loss: 0.5363	LR: 0.020000
Training Epoch: 20 [41216/48700]	Loss: 0.4713	LR: 0.020000
Training Epoch: 20 [41472/48700]	Loss: 0.3771	LR: 0.020000
Training Epoch: 20 [41728/48700]	Loss: 0.3711	LR: 0.020000
Training Epoch: 20 [41984/48700]	Loss: 0.4275	LR: 0.020000
Training Epoch: 20 [42240/48700]	Loss: 0.4293	LR: 0.020000
Training Epoch: 20 [42496/48700]	Loss: 0.4909	LR: 0.020000
Training Epoch: 20 [42752/48700]	Loss: 0.4415	LR: 0.020000
Training Epoch: 20 [43008/48700]	Loss: 0.6114	LR: 0.020000
Training Epoch: 20 [43264/48700]	Loss: 0.4866	LR: 0.020000
Training Epoch: 20 [43520/48700]	Loss: 0.4455	LR: 0.020000
Training Epoch: 20 [43776/48700]	Loss: 0.4777	LR: 0.020000
Training Epoch: 20 [44032/48700]	Loss: 0.4557	LR: 0.020000
Training Epoch: 20 [44288/48700]	Loss: 0.4811	LR: 0.020000
Training Epoch: 20 [44544/48700]	Loss: 0.5399	LR: 0.020000
Training Epoch: 20 [44800/48700]	Loss: 0.4257	LR: 0.020000
Training Epoch: 20 [45056/48700]	Loss: 0.5752	LR: 0.020000
Training Epoch: 20 [45312/48700]	Loss: 0.4907	LR: 0.020000
Training Epoch: 20 [45568/48700]	Loss: 0.5671	LR: 0.020000
Training Epoch: 20 [45824/48700]	Loss: 0.5486	LR: 0.020000
Training Epoch: 20 [46080/48700]	Loss: 0.5357	LR: 0.020000
Training Epoch: 20 [46336/48700]	Loss: 0.4954	LR: 0.020000
Training Epoch: 20 [46592/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 20 [46848/48700]	Loss: 0.4649	LR: 0.020000
Training Epoch: 20 [47104/48700]	Loss: 0.5736	LR: 0.020000
Training Epoch: 20 [47360/48700]	Loss: 0.4748	LR: 0.020000
Training Epoch: 20 [47616/48700]	Loss: 0.4018	LR: 0.020000
Training Epoch: 20 [47872/48700]	Loss: 0.4201	LR: 0.020000
Training Epoch: 20 [48128/48700]	Loss: 0.4850	LR: 0.020000
Training Epoch: 20 [48384/48700]	Loss: 0.6054	LR: 0.020000
Training Epoch: 20 [48640/48700]	Loss: 0.5026	LR: 0.020000
Training Epoch: 20 [48700/48700]	Loss: 0.6411	LR: 0.020000
Epoch 20 - Average Train Loss: 0.4647, Train Accuracy: 0.8461
Epoch 20 training time consumed: 29.73s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0030, Accuracy: 0.7699, Time consumed:0.94s
Training Epoch: 21 [256/48700]	Loss: 0.4700	LR: 0.020000
Training Epoch: 21 [512/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 21 [768/48700]	Loss: 0.4408	LR: 0.020000
Training Epoch: 21 [1024/48700]	Loss: 0.4201	LR: 0.020000
Training Epoch: 21 [1280/48700]	Loss: 0.5348	LR: 0.020000
Training Epoch: 21 [1536/48700]	Loss: 0.4045	LR: 0.020000
Training Epoch: 21 [1792/48700]	Loss: 0.4083	LR: 0.020000
Training Epoch: 21 [2048/48700]	Loss: 0.4294	LR: 0.020000
Training Epoch: 21 [2304/48700]	Loss: 0.4462	LR: 0.020000
Training Epoch: 21 [2560/48700]	Loss: 0.4485	LR: 0.020000
Training Epoch: 21 [2816/48700]	Loss: 0.4623	LR: 0.020000
Training Epoch: 21 [3072/48700]	Loss: 0.4575	LR: 0.020000
Training Epoch: 21 [3328/48700]	Loss: 0.3671	LR: 0.020000
Training Epoch: 21 [3584/48700]	Loss: 0.4336	LR: 0.020000
Training Epoch: 21 [3840/48700]	Loss: 0.4686	LR: 0.020000
Training Epoch: 21 [4096/48700]	Loss: 0.3993	LR: 0.020000
Training Epoch: 21 [4352/48700]	Loss: 0.3483	LR: 0.020000
Training Epoch: 21 [4608/48700]	Loss: 0.4269	LR: 0.020000
Training Epoch: 21 [4864/48700]	Loss: 0.4599	LR: 0.020000
Training Epoch: 21 [5120/48700]	Loss: 0.5638	LR: 0.020000
Training Epoch: 21 [5376/48700]	Loss: 0.5505	LR: 0.020000
Training Epoch: 21 [5632/48700]	Loss: 0.4682	LR: 0.020000
Training Epoch: 21 [5888/48700]	Loss: 0.4432	LR: 0.020000
Training Epoch: 21 [6144/48700]	Loss: 0.4796	LR: 0.020000
Training Epoch: 21 [6400/48700]	Loss: 0.4224	LR: 0.020000
Training Epoch: 21 [6656/48700]	Loss: 0.4227	LR: 0.020000
Training Epoch: 21 [6912/48700]	Loss: 0.4665	LR: 0.020000
Training Epoch: 21 [7168/48700]	Loss: 0.4358	LR: 0.020000
Training Epoch: 21 [7424/48700]	Loss: 0.4130	LR: 0.020000
Training Epoch: 21 [7680/48700]	Loss: 0.5239	LR: 0.020000
Training Epoch: 21 [7936/48700]	Loss: 0.4800	LR: 0.020000
Training Epoch: 21 [8192/48700]	Loss: 0.4398	LR: 0.020000
Training Epoch: 21 [8448/48700]	Loss: 0.3352	LR: 0.020000
Training Epoch: 21 [8704/48700]	Loss: 0.3844	LR: 0.020000
Training Epoch: 21 [8960/48700]	Loss: 0.4034	LR: 0.020000
Training Epoch: 21 [9216/48700]	Loss: 0.4305	LR: 0.020000
Training Epoch: 21 [9472/48700]	Loss: 0.4092	LR: 0.020000
Training Epoch: 21 [9728/48700]	Loss: 0.4518	LR: 0.020000
Training Epoch: 21 [9984/48700]	Loss: 0.3548	LR: 0.020000
Training Epoch: 21 [10240/48700]	Loss: 0.3342	LR: 0.020000
Training Epoch: 21 [10496/48700]	Loss: 0.4146	LR: 0.020000
Training Epoch: 21 [10752/48700]	Loss: 0.4727	LR: 0.020000
Training Epoch: 21 [11008/48700]	Loss: 0.4172	LR: 0.020000
Training Epoch: 21 [11264/48700]	Loss: 0.4317	LR: 0.020000
Training Epoch: 21 [11520/48700]	Loss: 0.3812	LR: 0.020000
Training Epoch: 21 [11776/48700]	Loss: 0.5431	LR: 0.020000
Training Epoch: 21 [12032/48700]	Loss: 0.3943	LR: 0.020000
Training Epoch: 21 [12288/48700]	Loss: 0.4307	LR: 0.020000
Training Epoch: 21 [12544/48700]	Loss: 0.4870	LR: 0.020000
Training Epoch: 21 [12800/48700]	Loss: 0.4073	LR: 0.020000
Training Epoch: 21 [13056/48700]	Loss: 0.4175	LR: 0.020000
Training Epoch: 21 [13312/48700]	Loss: 0.3895	LR: 0.020000
Training Epoch: 21 [13568/48700]	Loss: 0.3926	LR: 0.020000
Training Epoch: 21 [13824/48700]	Loss: 0.2955	LR: 0.020000
Training Epoch: 21 [14080/48700]	Loss: 0.3482	LR: 0.020000
Training Epoch: 21 [14336/48700]	Loss: 0.4658	LR: 0.020000
Training Epoch: 21 [14592/48700]	Loss: 0.4538	LR: 0.020000
Training Epoch: 21 [14848/48700]	Loss: 0.4418	LR: 0.020000
Training Epoch: 21 [15104/48700]	Loss: 0.5375	LR: 0.020000
Training Epoch: 21 [15360/48700]	Loss: 0.4345	LR: 0.020000
Training Epoch: 21 [15616/48700]	Loss: 0.5067	LR: 0.020000
Training Epoch: 21 [15872/48700]	Loss: 0.3987	LR: 0.020000
Training Epoch: 21 [16128/48700]	Loss: 0.4524	LR: 0.020000
Training Epoch: 21 [16384/48700]	Loss: 0.4230	LR: 0.020000
Training Epoch: 21 [16640/48700]	Loss: 0.4424	LR: 0.020000
Training Epoch: 21 [16896/48700]	Loss: 0.3939	LR: 0.020000
Training Epoch: 21 [17152/48700]	Loss: 0.3616	LR: 0.020000
Training Epoch: 21 [17408/48700]	Loss: 0.3978	LR: 0.020000
Training Epoch: 21 [17664/48700]	Loss: 0.3495	LR: 0.020000
Training Epoch: 21 [17920/48700]	Loss: 0.3860	LR: 0.020000
Training Epoch: 21 [18176/48700]	Loss: 0.5101	LR: 0.020000
Training Epoch: 21 [18432/48700]	Loss: 0.4254	LR: 0.020000
Training Epoch: 21 [18688/48700]	Loss: 0.4480	LR: 0.020000
Training Epoch: 21 [18944/48700]	Loss: 0.4244	LR: 0.020000
Training Epoch: 21 [19200/48700]	Loss: 0.5301	LR: 0.020000
Training Epoch: 21 [19456/48700]	Loss: 0.4418	LR: 0.020000
Training Epoch: 21 [19712/48700]	Loss: 0.5087	LR: 0.020000
Training Epoch: 21 [19968/48700]	Loss: 0.3901	LR: 0.020000
Training Epoch: 21 [20224/48700]	Loss: 0.5320	LR: 0.020000
Training Epoch: 21 [20480/48700]	Loss: 0.4589	LR: 0.020000
Training Epoch: 21 [20736/48700]	Loss: 0.3849	LR: 0.020000
Training Epoch: 21 [20992/48700]	Loss: 0.4219	LR: 0.020000
Training Epoch: 21 [21248/48700]	Loss: 0.4137	LR: 0.020000
Training Epoch: 21 [21504/48700]	Loss: 0.3609	LR: 0.020000
Training Epoch: 21 [21760/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 21 [22016/48700]	Loss: 0.4066	LR: 0.020000
Training Epoch: 21 [22272/48700]	Loss: 0.4033	LR: 0.020000
Training Epoch: 21 [22528/48700]	Loss: 0.3531	LR: 0.020000
Training Epoch: 21 [22784/48700]	Loss: 0.3450	LR: 0.020000
Training Epoch: 21 [23040/48700]	Loss: 0.3813	LR: 0.020000
Training Epoch: 21 [23296/48700]	Loss: 0.4431	LR: 0.020000
Training Epoch: 21 [23552/48700]	Loss: 0.4992	LR: 0.020000
Training Epoch: 21 [23808/48700]	Loss: 0.4653	LR: 0.020000
Training Epoch: 21 [24064/48700]	Loss: 0.4484	LR: 0.020000
Training Epoch: 21 [24320/48700]	Loss: 0.3611	LR: 0.020000
Training Epoch: 21 [24576/48700]	Loss: 0.4908	LR: 0.020000
Training Epoch: 21 [24832/48700]	Loss: 0.5569	LR: 0.020000
Training Epoch: 21 [25088/48700]	Loss: 0.4625	LR: 0.020000
Training Epoch: 21 [25344/48700]	Loss: 0.3990	LR: 0.020000
Training Epoch: 21 [25600/48700]	Loss: 0.4164	LR: 0.020000
Training Epoch: 21 [25856/48700]	Loss: 0.4192	LR: 0.020000
Training Epoch: 21 [26112/48700]	Loss: 0.4511	LR: 0.020000
Training Epoch: 21 [26368/48700]	Loss: 0.4591	LR: 0.020000
Training Epoch: 21 [26624/48700]	Loss: 0.5606	LR: 0.020000
Training Epoch: 21 [26880/48700]	Loss: 0.3435	LR: 0.020000
Training Epoch: 21 [27136/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 21 [27392/48700]	Loss: 0.4986	LR: 0.020000
Training Epoch: 21 [27648/48700]	Loss: 0.4301	LR: 0.020000
Training Epoch: 21 [27904/48700]	Loss: 0.5175	LR: 0.020000
Training Epoch: 21 [28160/48700]	Loss: 0.4668	LR: 0.020000
Training Epoch: 21 [28416/48700]	Loss: 0.4921	LR: 0.020000
Training Epoch: 21 [28672/48700]	Loss: 0.4523	LR: 0.020000
Training Epoch: 21 [28928/48700]	Loss: 0.4420	LR: 0.020000
Training Epoch: 21 [29184/48700]	Loss: 0.4463	LR: 0.020000
Training Epoch: 21 [29440/48700]	Loss: 0.3747	LR: 0.020000
Training Epoch: 21 [29696/48700]	Loss: 0.3890	LR: 0.020000
Training Epoch: 21 [29952/48700]	Loss: 0.5023	LR: 0.020000
Training Epoch: 21 [30208/48700]	Loss: 0.5136	LR: 0.020000
Training Epoch: 21 [30464/48700]	Loss: 0.4102	LR: 0.020000
Training Epoch: 21 [30720/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 21 [30976/48700]	Loss: 0.4714	LR: 0.020000
Training Epoch: 21 [31232/48700]	Loss: 0.4163	LR: 0.020000
Training Epoch: 21 [31488/48700]	Loss: 0.4079	LR: 0.020000
Training Epoch: 21 [31744/48700]	Loss: 0.4351	LR: 0.020000
Training Epoch: 21 [32000/48700]	Loss: 0.3919	LR: 0.020000
Training Epoch: 21 [32256/48700]	Loss: 0.4120	LR: 0.020000
Training Epoch: 21 [32512/48700]	Loss: 0.4436	LR: 0.020000
Training Epoch: 21 [32768/48700]	Loss: 0.3354	LR: 0.020000
Training Epoch: 21 [33024/48700]	Loss: 0.4533	LR: 0.020000
Training Epoch: 21 [33280/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 21 [33536/48700]	Loss: 0.3906	LR: 0.020000
Training Epoch: 21 [33792/48700]	Loss: 0.4245	LR: 0.020000
Training Epoch: 21 [34048/48700]	Loss: 0.3588	LR: 0.020000
Training Epoch: 21 [34304/48700]	Loss: 0.4740	LR: 0.020000
Training Epoch: 21 [34560/48700]	Loss: 0.5002	LR: 0.020000
Training Epoch: 21 [34816/48700]	Loss: 0.3924	LR: 0.020000
Training Epoch: 21 [35072/48700]	Loss: 0.6004	LR: 0.020000
Training Epoch: 21 [35328/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 21 [35584/48700]	Loss: 0.4612	LR: 0.020000
Training Epoch: 21 [35840/48700]	Loss: 0.3975	LR: 0.020000
Training Epoch: 21 [36096/48700]	Loss: 0.5744	LR: 0.020000
Training Epoch: 21 [36352/48700]	Loss: 0.4288	LR: 0.020000
Training Epoch: 21 [36608/48700]	Loss: 0.5340	LR: 0.020000
Training Epoch: 21 [36864/48700]	Loss: 0.4101	LR: 0.020000
Training Epoch: 21 [37120/48700]	Loss: 0.6271	LR: 0.020000
Training Epoch: 21 [37376/48700]	Loss: 0.3140	LR: 0.020000
Training Epoch: 21 [37632/48700]	Loss: 0.4417	LR: 0.020000
Training Epoch: 21 [37888/48700]	Loss: 0.3830	LR: 0.020000
Training Epoch: 21 [38144/48700]	Loss: 0.5518	LR: 0.020000
Training Epoch: 21 [38400/48700]	Loss: 0.4508	LR: 0.020000
Training Epoch: 21 [38656/48700]	Loss: 0.4730	LR: 0.020000
Training Epoch: 21 [38912/48700]	Loss: 0.4871	LR: 0.020000
Training Epoch: 21 [39168/48700]	Loss: 0.5107	LR: 0.020000
Training Epoch: 21 [39424/48700]	Loss: 0.4480	LR: 0.020000
Training Epoch: 21 [39680/48700]	Loss: 0.4692	LR: 0.020000
Training Epoch: 21 [39936/48700]	Loss: 0.5044	LR: 0.020000
Training Epoch: 21 [40192/48700]	Loss: 0.4438	LR: 0.020000
Training Epoch: 21 [40448/48700]	Loss: 0.4255	LR: 0.020000
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Training Epoch: 21 [48128/48700]	Loss: 0.4738	LR: 0.020000
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Training Epoch: 21 [48640/48700]	Loss: 0.3751	LR: 0.020000
Training Epoch: 21 [48700/48700]	Loss: 0.5570	LR: 0.020000
Epoch 21 - Average Train Loss: 0.4424, Train Accuracy: 0.8538
Epoch 21 training time consumed: 29.93s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0028, Accuracy: 0.7797, Time consumed:0.98s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-21-best.pth
Training Epoch: 22 [256/48700]	Loss: 0.4164	LR: 0.020000
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Training Epoch: 22 [47872/48700]	Loss: 0.3254	LR: 0.020000
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Training Epoch: 22 [48700/48700]	Loss: 0.3785	LR: 0.020000
Epoch 22 - Average Train Loss: 0.4342, Train Accuracy: 0.8567
Epoch 22 training time consumed: 29.82s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0030, Accuracy: 0.7757, Time consumed:0.96s
Training Epoch: 23 [256/48700]	Loss: 0.4135	LR: 0.020000
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Training Epoch: 23 [1536/48700]	Loss: 0.4933	LR: 0.020000
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Training Epoch: 23 [14848/48700]	Loss: 0.4518	LR: 0.020000
Training Epoch: 23 [15104/48700]	Loss: 0.3557	LR: 0.020000
Training Epoch: 23 [15360/48700]	Loss: 0.4427	LR: 0.020000
Training Epoch: 23 [15616/48700]	Loss: 0.4012	LR: 0.020000
Training Epoch: 23 [15872/48700]	Loss: 0.4443	LR: 0.020000
Training Epoch: 23 [16128/48700]	Loss: 0.4188	LR: 0.020000
Training Epoch: 23 [16384/48700]	Loss: 0.4254	LR: 0.020000
Training Epoch: 23 [16640/48700]	Loss: 0.3880	LR: 0.020000
Training Epoch: 23 [16896/48700]	Loss: 0.3748	LR: 0.020000
Training Epoch: 23 [17152/48700]	Loss: 0.3086	LR: 0.020000
Training Epoch: 23 [17408/48700]	Loss: 0.3742	LR: 0.020000
Training Epoch: 23 [17664/48700]	Loss: 0.4096	LR: 0.020000
Training Epoch: 23 [17920/48700]	Loss: 0.4461	LR: 0.020000
Training Epoch: 23 [18176/48700]	Loss: 0.4910	LR: 0.020000
Training Epoch: 23 [18432/48700]	Loss: 0.3895	LR: 0.020000
Training Epoch: 23 [18688/48700]	Loss: 0.4541	LR: 0.020000
Training Epoch: 23 [18944/48700]	Loss: 0.4109	LR: 0.020000
Training Epoch: 23 [19200/48700]	Loss: 0.4766	LR: 0.020000
Training Epoch: 23 [19456/48700]	Loss: 0.3325	LR: 0.020000
Training Epoch: 23 [19712/48700]	Loss: 0.4027	LR: 0.020000
Training Epoch: 23 [19968/48700]	Loss: 0.4199	LR: 0.020000
Training Epoch: 23 [20224/48700]	Loss: 0.4048	LR: 0.020000
Training Epoch: 23 [20480/48700]	Loss: 0.4995	LR: 0.020000
Training Epoch: 23 [20736/48700]	Loss: 0.4520	LR: 0.020000
Training Epoch: 23 [20992/48700]	Loss: 0.4300	LR: 0.020000
Training Epoch: 23 [21248/48700]	Loss: 0.3638	LR: 0.020000
Training Epoch: 23 [21504/48700]	Loss: 0.4155	LR: 0.020000
Training Epoch: 23 [21760/48700]	Loss: 0.5471	LR: 0.020000
Training Epoch: 23 [22016/48700]	Loss: 0.3949	LR: 0.020000
Training Epoch: 23 [22272/48700]	Loss: 0.4163	LR: 0.020000
Training Epoch: 23 [22528/48700]	Loss: 0.5234	LR: 0.020000
Training Epoch: 23 [22784/48700]	Loss: 0.3774	LR: 0.020000
Training Epoch: 23 [23040/48700]	Loss: 0.4869	LR: 0.020000
Training Epoch: 23 [23296/48700]	Loss: 0.4505	LR: 0.020000
Training Epoch: 23 [23552/48700]	Loss: 0.4793	LR: 0.020000
Training Epoch: 23 [23808/48700]	Loss: 0.4530	LR: 0.020000
Training Epoch: 23 [24064/48700]	Loss: 0.3223	LR: 0.020000
Training Epoch: 23 [24320/48700]	Loss: 0.3896	LR: 0.020000
Training Epoch: 23 [24576/48700]	Loss: 0.5542	LR: 0.020000
Training Epoch: 23 [24832/48700]	Loss: 0.4327	LR: 0.020000
Training Epoch: 23 [25088/48700]	Loss: 0.4030	LR: 0.020000
Training Epoch: 23 [25344/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 23 [25600/48700]	Loss: 0.3879	LR: 0.020000
Training Epoch: 23 [25856/48700]	Loss: 0.3717	LR: 0.020000
Training Epoch: 23 [26112/48700]	Loss: 0.4612	LR: 0.020000
Training Epoch: 23 [26368/48700]	Loss: 0.4611	LR: 0.020000
Training Epoch: 23 [26624/48700]	Loss: 0.3376	LR: 0.020000
Training Epoch: 23 [26880/48700]	Loss: 0.3788	LR: 0.020000
Training Epoch: 23 [27136/48700]	Loss: 0.3974	LR: 0.020000
Training Epoch: 23 [27392/48700]	Loss: 0.3325	LR: 0.020000
Training Epoch: 23 [27648/48700]	Loss: 0.4958	LR: 0.020000
Training Epoch: 23 [27904/48700]	Loss: 0.3568	LR: 0.020000
Training Epoch: 23 [28160/48700]	Loss: 0.4477	LR: 0.020000
Training Epoch: 23 [28416/48700]	Loss: 0.4722	LR: 0.020000
Training Epoch: 23 [28672/48700]	Loss: 0.4096	LR: 0.020000
Training Epoch: 23 [28928/48700]	Loss: 0.3628	LR: 0.020000
Training Epoch: 23 [29184/48700]	Loss: 0.3530	LR: 0.020000
Training Epoch: 23 [29440/48700]	Loss: 0.4234	LR: 0.020000
Training Epoch: 23 [29696/48700]	Loss: 0.3909	LR: 0.020000
Training Epoch: 23 [29952/48700]	Loss: 0.3930	LR: 0.020000
Training Epoch: 23 [30208/48700]	Loss: 0.4706	LR: 0.020000
Training Epoch: 23 [30464/48700]	Loss: 0.3934	LR: 0.020000
Training Epoch: 23 [30720/48700]	Loss: 0.3622	LR: 0.020000
Training Epoch: 23 [30976/48700]	Loss: 0.4340	LR: 0.020000
Training Epoch: 23 [31232/48700]	Loss: 0.4501	LR: 0.020000
Training Epoch: 23 [31488/48700]	Loss: 0.4393	LR: 0.020000
Training Epoch: 23 [31744/48700]	Loss: 0.3986	LR: 0.020000
Training Epoch: 23 [32000/48700]	Loss: 0.5563	LR: 0.020000
Training Epoch: 23 [32256/48700]	Loss: 0.4260	LR: 0.020000
Training Epoch: 23 [32512/48700]	Loss: 0.4090	LR: 0.020000
Training Epoch: 23 [32768/48700]	Loss: 0.4308	LR: 0.020000
Training Epoch: 23 [33024/48700]	Loss: 0.3949	LR: 0.020000
Training Epoch: 23 [33280/48700]	Loss: 0.4187	LR: 0.020000
Training Epoch: 23 [33536/48700]	Loss: 0.3987	LR: 0.020000
Training Epoch: 23 [33792/48700]	Loss: 0.4442	LR: 0.020000
Training Epoch: 23 [34048/48700]	Loss: 0.4216	LR: 0.020000
Training Epoch: 23 [34304/48700]	Loss: 0.4011	LR: 0.020000
Training Epoch: 23 [34560/48700]	Loss: 0.4410	LR: 0.020000
Training Epoch: 23 [34816/48700]	Loss: 0.3839	LR: 0.020000
Training Epoch: 23 [35072/48700]	Loss: 0.4216	LR: 0.020000
Training Epoch: 23 [35328/48700]	Loss: 0.3370	LR: 0.020000
Training Epoch: 23 [35584/48700]	Loss: 0.4176	LR: 0.020000
Training Epoch: 23 [35840/48700]	Loss: 0.4539	LR: 0.020000
Training Epoch: 23 [36096/48700]	Loss: 0.3883	LR: 0.020000
Training Epoch: 23 [36352/48700]	Loss: 0.4439	LR: 0.020000
Training Epoch: 23 [36608/48700]	Loss: 0.4547	LR: 0.020000
Training Epoch: 23 [36864/48700]	Loss: 0.3908	LR: 0.020000
Training Epoch: 23 [37120/48700]	Loss: 0.3664	LR: 0.020000
Training Epoch: 23 [37376/48700]	Loss: 0.4603	LR: 0.020000
Training Epoch: 23 [37632/48700]	Loss: 0.4406	LR: 0.020000
Training Epoch: 23 [37888/48700]	Loss: 0.4810	LR: 0.020000
Training Epoch: 23 [38144/48700]	Loss: 0.4579	LR: 0.020000
Training Epoch: 23 [38400/48700]	Loss: 0.4294	LR: 0.020000
Training Epoch: 23 [38656/48700]	Loss: 0.3999	LR: 0.020000
Training Epoch: 23 [38912/48700]	Loss: 0.4566	LR: 0.020000
Training Epoch: 23 [39168/48700]	Loss: 0.4344	LR: 0.020000
Training Epoch: 23 [39424/48700]	Loss: 0.5043	LR: 0.020000
Training Epoch: 23 [39680/48700]	Loss: 0.3903	LR: 0.020000
Training Epoch: 23 [39936/48700]	Loss: 0.4857	LR: 0.020000
Training Epoch: 23 [40192/48700]	Loss: 0.4351	LR: 0.020000
Training Epoch: 23 [40448/48700]	Loss: 0.4365	LR: 0.020000
Training Epoch: 23 [40704/48700]	Loss: 0.4180	LR: 0.020000
Training Epoch: 23 [40960/48700]	Loss: 0.4168	LR: 0.020000
Training Epoch: 23 [41216/48700]	Loss: 0.4578	LR: 0.020000
Training Epoch: 23 [41472/48700]	Loss: 0.5710	LR: 0.020000
Training Epoch: 23 [41728/48700]	Loss: 0.3852	LR: 0.020000
Training Epoch: 23 [41984/48700]	Loss: 0.4672	LR: 0.020000
Training Epoch: 23 [42240/48700]	Loss: 0.4271	LR: 0.020000
Training Epoch: 23 [42496/48700]	Loss: 0.4429	LR: 0.020000
Training Epoch: 23 [42752/48700]	Loss: 0.4082	LR: 0.020000
Training Epoch: 23 [43008/48700]	Loss: 0.4036	LR: 0.020000
Training Epoch: 23 [43264/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 23 [43520/48700]	Loss: 0.4088	LR: 0.020000
Training Epoch: 23 [43776/48700]	Loss: 0.4198	LR: 0.020000
Training Epoch: 23 [44032/48700]	Loss: 0.5007	LR: 0.020000
Training Epoch: 23 [44288/48700]	Loss: 0.4200	LR: 0.020000
Training Epoch: 23 [44544/48700]	Loss: 0.4152	LR: 0.020000
Training Epoch: 23 [44800/48700]	Loss: 0.4102	LR: 0.020000
Training Epoch: 23 [45056/48700]	Loss: 0.4454	LR: 0.020000
Training Epoch: 23 [45312/48700]	Loss: 0.4206	LR: 0.020000
Training Epoch: 23 [45568/48700]	Loss: 0.3474	LR: 0.020000
Training Epoch: 23 [45824/48700]	Loss: 0.2981	LR: 0.020000
Training Epoch: 23 [46080/48700]	Loss: 0.4111	LR: 0.020000
Training Epoch: 23 [46336/48700]	Loss: 0.4292	LR: 0.020000
Training Epoch: 23 [46592/48700]	Loss: 0.3628	LR: 0.020000
Training Epoch: 23 [46848/48700]	Loss: 0.4656	LR: 0.020000
Training Epoch: 23 [47104/48700]	Loss: 0.4232	LR: 0.020000
Training Epoch: 23 [47360/48700]	Loss: 0.4359	LR: 0.020000
Training Epoch: 23 [47616/48700]	Loss: 0.3982	LR: 0.020000
Training Epoch: 23 [47872/48700]	Loss: 0.4974	LR: 0.020000
Training Epoch: 23 [48128/48700]	Loss: 0.4225	LR: 0.020000
Training Epoch: 23 [48384/48700]	Loss: 0.4377	LR: 0.020000
Training Epoch: 23 [48640/48700]	Loss: 0.5201	LR: 0.020000
Training Epoch: 23 [48700/48700]	Loss: 0.4648	LR: 0.020000
Epoch 23 - Average Train Loss: 0.4170, Train Accuracy: 0.8615
Epoch 23 training time consumed: 29.78s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0033, Accuracy: 0.7628, Time consumed:0.92s
Training Epoch: 24 [256/48700]	Loss: 0.3482	LR: 0.020000
Training Epoch: 24 [512/48700]	Loss: 0.4156	LR: 0.020000
Training Epoch: 24 [768/48700]	Loss: 0.3947	LR: 0.020000
Training Epoch: 24 [1024/48700]	Loss: 0.4094	LR: 0.020000
Training Epoch: 24 [1280/48700]	Loss: 0.3585	LR: 0.020000
Training Epoch: 24 [1536/48700]	Loss: 0.3365	LR: 0.020000
Training Epoch: 24 [1792/48700]	Loss: 0.3926	LR: 0.020000
Training Epoch: 24 [2048/48700]	Loss: 0.4037	LR: 0.020000
Training Epoch: 24 [2304/48700]	Loss: 0.4970	LR: 0.020000
Training Epoch: 24 [2560/48700]	Loss: 0.3857	LR: 0.020000
Training Epoch: 24 [2816/48700]	Loss: 0.3636	LR: 0.020000
Training Epoch: 24 [3072/48700]	Loss: 0.4039	LR: 0.020000
Training Epoch: 24 [3328/48700]	Loss: 0.4201	LR: 0.020000
Training Epoch: 24 [3584/48700]	Loss: 0.4138	LR: 0.020000
Training Epoch: 24 [3840/48700]	Loss: 0.4015	LR: 0.020000
Training Epoch: 24 [4096/48700]	Loss: 0.4026	LR: 0.020000
Training Epoch: 24 [4352/48700]	Loss: 0.4358	LR: 0.020000
Training Epoch: 24 [4608/48700]	Loss: 0.3916	LR: 0.020000
Training Epoch: 24 [4864/48700]	Loss: 0.4435	LR: 0.020000
Training Epoch: 24 [5120/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 24 [5376/48700]	Loss: 0.2921	LR: 0.020000
Training Epoch: 24 [5632/48700]	Loss: 0.4859	LR: 0.020000
Training Epoch: 24 [5888/48700]	Loss: 0.3876	LR: 0.020000
Training Epoch: 24 [6144/48700]	Loss: 0.4487	LR: 0.020000
Training Epoch: 24 [6400/48700]	Loss: 0.4731	LR: 0.020000
Training Epoch: 24 [6656/48700]	Loss: 0.3544	LR: 0.020000
Training Epoch: 24 [6912/48700]	Loss: 0.3918	LR: 0.020000
Training Epoch: 24 [7168/48700]	Loss: 0.3807	LR: 0.020000
Training Epoch: 24 [7424/48700]	Loss: 0.3407	LR: 0.020000
Training Epoch: 24 [7680/48700]	Loss: 0.3436	LR: 0.020000
Training Epoch: 24 [7936/48700]	Loss: 0.4639	LR: 0.020000
Training Epoch: 24 [8192/48700]	Loss: 0.4154	LR: 0.020000
Training Epoch: 24 [8448/48700]	Loss: 0.3762	LR: 0.020000
Training Epoch: 24 [8704/48700]	Loss: 0.4137	LR: 0.020000
Training Epoch: 24 [8960/48700]	Loss: 0.3697	LR: 0.020000
Training Epoch: 24 [9216/48700]	Loss: 0.4259	LR: 0.020000
Training Epoch: 24 [9472/48700]	Loss: 0.4225	LR: 0.020000
Training Epoch: 24 [9728/48700]	Loss: 0.3178	LR: 0.020000
Training Epoch: 24 [9984/48700]	Loss: 0.4023	LR: 0.020000
Training Epoch: 24 [10240/48700]	Loss: 0.3664	LR: 0.020000
Training Epoch: 24 [10496/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 24 [10752/48700]	Loss: 0.5148	LR: 0.020000
Training Epoch: 24 [11008/48700]	Loss: 0.4334	LR: 0.020000
Training Epoch: 24 [11264/48700]	Loss: 0.4182	LR: 0.020000
Training Epoch: 24 [11520/48700]	Loss: 0.3578	LR: 0.020000
Training Epoch: 24 [11776/48700]	Loss: 0.4347	LR: 0.020000
Training Epoch: 24 [12032/48700]	Loss: 0.3779	LR: 0.020000
Training Epoch: 24 [12288/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 24 [12544/48700]	Loss: 0.3801	LR: 0.020000
Training Epoch: 24 [12800/48700]	Loss: 0.4207	LR: 0.020000
Training Epoch: 24 [13056/48700]	Loss: 0.3643	LR: 0.020000
Training Epoch: 24 [13312/48700]	Loss: 0.3499	LR: 0.020000
Training Epoch: 24 [13568/48700]	Loss: 0.4135	LR: 0.020000
Training Epoch: 24 [13824/48700]	Loss: 0.3347	LR: 0.020000
Training Epoch: 24 [14080/48700]	Loss: 0.4684	LR: 0.020000
Training Epoch: 24 [14336/48700]	Loss: 0.4205	LR: 0.020000
Training Epoch: 24 [14592/48700]	Loss: 0.3772	LR: 0.020000
Training Epoch: 24 [14848/48700]	Loss: 0.3145	LR: 0.020000
Training Epoch: 24 [15104/48700]	Loss: 0.3760	LR: 0.020000
Training Epoch: 24 [15360/48700]	Loss: 0.2780	LR: 0.020000
Training Epoch: 24 [15616/48700]	Loss: 0.3370	LR: 0.020000
Training Epoch: 24 [15872/48700]	Loss: 0.3222	LR: 0.020000
Training Epoch: 24 [16128/48700]	Loss: 0.4977	LR: 0.020000
Training Epoch: 24 [16384/48700]	Loss: 0.4508	LR: 0.020000
Training Epoch: 24 [16640/48700]	Loss: 0.4113	LR: 0.020000
Training Epoch: 24 [16896/48700]	Loss: 0.5026	LR: 0.020000
Training Epoch: 24 [17152/48700]	Loss: 0.3553	LR: 0.020000
Training Epoch: 24 [17408/48700]	Loss: 0.4269	LR: 0.020000
Training Epoch: 24 [17664/48700]	Loss: 0.4078	LR: 0.020000
Training Epoch: 24 [17920/48700]	Loss: 0.3610	LR: 0.020000
Training Epoch: 24 [18176/48700]	Loss: 0.3442	LR: 0.020000
Training Epoch: 24 [18432/48700]	Loss: 0.3663	LR: 0.020000
Training Epoch: 24 [18688/48700]	Loss: 0.4010	LR: 0.020000
Training Epoch: 24 [18944/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 24 [19200/48700]	Loss: 0.3090	LR: 0.020000
Training Epoch: 24 [19456/48700]	Loss: 0.3911	LR: 0.020000
Training Epoch: 24 [19712/48700]	Loss: 0.4475	LR: 0.020000
Training Epoch: 24 [19968/48700]	Loss: 0.4514	LR: 0.020000
Training Epoch: 24 [20224/48700]	Loss: 0.4131	LR: 0.020000
Training Epoch: 24 [20480/48700]	Loss: 0.3876	LR: 0.020000
Training Epoch: 24 [20736/48700]	Loss: 0.4306	LR: 0.020000
Training Epoch: 24 [20992/48700]	Loss: 0.4360	LR: 0.020000
Training Epoch: 24 [21248/48700]	Loss: 0.3314	LR: 0.020000
Training Epoch: 24 [21504/48700]	Loss: 0.3610	LR: 0.020000
Training Epoch: 24 [21760/48700]	Loss: 0.3833	LR: 0.020000
Training Epoch: 24 [22016/48700]	Loss: 0.3063	LR: 0.020000
Training Epoch: 24 [22272/48700]	Loss: 0.3831	LR: 0.020000
Training Epoch: 24 [22528/48700]	Loss: 0.3911	LR: 0.020000
Training Epoch: 24 [22784/48700]	Loss: 0.3870	LR: 0.020000
Training Epoch: 24 [23040/48700]	Loss: 0.4442	LR: 0.020000
Training Epoch: 24 [23296/48700]	Loss: 0.4266	LR: 0.020000
Training Epoch: 24 [23552/48700]	Loss: 0.4134	LR: 0.020000
Training Epoch: 24 [23808/48700]	Loss: 0.4952	LR: 0.020000
Training Epoch: 24 [24064/48700]	Loss: 0.4541	LR: 0.020000
Training Epoch: 24 [24320/48700]	Loss: 0.4184	LR: 0.020000
Training Epoch: 24 [24576/48700]	Loss: 0.3837	LR: 0.020000
Training Epoch: 24 [24832/48700]	Loss: 0.3759	LR: 0.020000
Training Epoch: 24 [25088/48700]	Loss: 0.3860	LR: 0.020000
Training Epoch: 24 [25344/48700]	Loss: 0.4099	LR: 0.020000
Training Epoch: 24 [25600/48700]	Loss: 0.3398	LR: 0.020000
Training Epoch: 24 [25856/48700]	Loss: 0.4624	LR: 0.020000
Training Epoch: 24 [26112/48700]	Loss: 0.4202	LR: 0.020000
Training Epoch: 24 [26368/48700]	Loss: 0.3750	LR: 0.020000
Training Epoch: 24 [26624/48700]	Loss: 0.3998	LR: 0.020000
Training Epoch: 24 [26880/48700]	Loss: 0.3875	LR: 0.020000
Training Epoch: 24 [27136/48700]	Loss: 0.3296	LR: 0.020000
Training Epoch: 24 [27392/48700]	Loss: 0.4105	LR: 0.020000
Training Epoch: 24 [27648/48700]	Loss: 0.3614	LR: 0.020000
Training Epoch: 24 [27904/48700]	Loss: 0.3648	LR: 0.020000
Training Epoch: 24 [28160/48700]	Loss: 0.5127	LR: 0.020000
Training Epoch: 24 [28416/48700]	Loss: 0.4231	LR: 0.020000
Training Epoch: 24 [28672/48700]	Loss: 0.4516	LR: 0.020000
Training Epoch: 24 [28928/48700]	Loss: 0.5205	LR: 0.020000
Training Epoch: 24 [29184/48700]	Loss: 0.3846	LR: 0.020000
Training Epoch: 24 [29440/48700]	Loss: 0.3250	LR: 0.020000
Training Epoch: 24 [29696/48700]	Loss: 0.4072	LR: 0.020000
Training Epoch: 24 [29952/48700]	Loss: 0.3527	LR: 0.020000
Training Epoch: 24 [30208/48700]	Loss: 0.4979	LR: 0.020000
Training Epoch: 24 [30464/48700]	Loss: 0.3341	LR: 0.020000
Training Epoch: 24 [30720/48700]	Loss: 0.4350	LR: 0.020000
Training Epoch: 24 [30976/48700]	Loss: 0.3603	LR: 0.020000
Training Epoch: 24 [31232/48700]	Loss: 0.4033	LR: 0.020000
Training Epoch: 24 [31488/48700]	Loss: 0.4489	LR: 0.020000
Training Epoch: 24 [31744/48700]	Loss: 0.3106	LR: 0.020000
Training Epoch: 24 [32000/48700]	Loss: 0.3608	LR: 0.020000
Training Epoch: 24 [32256/48700]	Loss: 0.4670	LR: 0.020000
Training Epoch: 24 [32512/48700]	Loss: 0.3450	LR: 0.020000
Training Epoch: 24 [32768/48700]	Loss: 0.3120	LR: 0.020000
Training Epoch: 24 [33024/48700]	Loss: 0.5764	LR: 0.020000
Training Epoch: 24 [33280/48700]	Loss: 0.4895	LR: 0.020000
Training Epoch: 24 [33536/48700]	Loss: 0.3543	LR: 0.020000
Training Epoch: 24 [33792/48700]	Loss: 0.4489	LR: 0.020000
Training Epoch: 24 [34048/48700]	Loss: 0.3561	LR: 0.020000
Training Epoch: 24 [34304/48700]	Loss: 0.3574	LR: 0.020000
Training Epoch: 24 [34560/48700]	Loss: 0.4990	LR: 0.020000
Training Epoch: 24 [34816/48700]	Loss: 0.4724	LR: 0.020000
Training Epoch: 24 [35072/48700]	Loss: 0.4978	LR: 0.020000
Training Epoch: 24 [35328/48700]	Loss: 0.4262	LR: 0.020000
Training Epoch: 24 [35584/48700]	Loss: 0.3366	LR: 0.020000
Training Epoch: 24 [35840/48700]	Loss: 0.2962	LR: 0.020000
Training Epoch: 24 [36096/48700]	Loss: 0.4453	LR: 0.020000
Training Epoch: 24 [36352/48700]	Loss: 0.4580	LR: 0.020000
Training Epoch: 24 [36608/48700]	Loss: 0.3332	LR: 0.020000
Training Epoch: 24 [36864/48700]	Loss: 0.5396	LR: 0.020000
Training Epoch: 24 [37120/48700]	Loss: 0.4980	LR: 0.020000
Training Epoch: 24 [37376/48700]	Loss: 0.3688	LR: 0.020000
Training Epoch: 24 [37632/48700]	Loss: 0.4074	LR: 0.020000
Training Epoch: 24 [37888/48700]	Loss: 0.3815	LR: 0.020000
Training Epoch: 24 [38144/48700]	Loss: 0.4164	LR: 0.020000
Training Epoch: 24 [38400/48700]	Loss: 0.3388	LR: 0.020000
Training Epoch: 24 [38656/48700]	Loss: 0.4528	LR: 0.020000
Training Epoch: 24 [38912/48700]	Loss: 0.4463	LR: 0.020000
Training Epoch: 24 [39168/48700]	Loss: 0.4315	LR: 0.020000
Training Epoch: 24 [39424/48700]	Loss: 0.2938	LR: 0.020000
Training Epoch: 24 [39680/48700]	Loss: 0.3582	LR: 0.020000
Training Epoch: 24 [39936/48700]	Loss: 0.5001	LR: 0.020000
Training Epoch: 24 [40192/48700]	Loss: 0.3695	LR: 0.020000
Training Epoch: 24 [40448/48700]	Loss: 0.3879	LR: 0.020000
Training Epoch: 24 [40704/48700]	Loss: 0.4663	LR: 0.020000
Training Epoch: 24 [40960/48700]	Loss: 0.4909	LR: 0.020000
Training Epoch: 24 [41216/48700]	Loss: 0.3799	LR: 0.020000
Training Epoch: 24 [41472/48700]	Loss: 0.4167	LR: 0.020000
Training Epoch: 24 [41728/48700]	Loss: 0.4416	LR: 0.020000
Training Epoch: 24 [41984/48700]	Loss: 0.4541	LR: 0.020000
Training Epoch: 24 [42240/48700]	Loss: 0.4786	LR: 0.020000
Training Epoch: 24 [42496/48700]	Loss: 0.3327	LR: 0.020000
Training Epoch: 24 [42752/48700]	Loss: 0.5981	LR: 0.020000
Training Epoch: 24 [43008/48700]	Loss: 0.3858	LR: 0.020000
Training Epoch: 24 [43264/48700]	Loss: 0.4158	LR: 0.020000
Training Epoch: 24 [43520/48700]	Loss: 0.5136	LR: 0.020000
Training Epoch: 24 [43776/48700]	Loss: 0.3851	LR: 0.020000
Training Epoch: 24 [44032/48700]	Loss: 0.3766	LR: 0.020000
Training Epoch: 24 [44288/48700]	Loss: 0.4582	LR: 0.020000
Training Epoch: 24 [44544/48700]	Loss: 0.3857	LR: 0.020000
Training Epoch: 24 [44800/48700]	Loss: 0.3562	LR: 0.020000
Training Epoch: 24 [45056/48700]	Loss: 0.4449	LR: 0.020000
Training Epoch: 24 [45312/48700]	Loss: 0.3914	LR: 0.020000
Training Epoch: 24 [45568/48700]	Loss: 0.5556	LR: 0.020000
Training Epoch: 24 [45824/48700]	Loss: 0.4669	LR: 0.020000
Training Epoch: 24 [46080/48700]	Loss: 0.3134	LR: 0.020000
Training Epoch: 24 [46336/48700]	Loss: 0.4147	LR: 0.020000
Training Epoch: 24 [46592/48700]	Loss: 0.3262	LR: 0.020000
Training Epoch: 24 [46848/48700]	Loss: 0.4623	LR: 0.020000
Training Epoch: 24 [47104/48700]	Loss: 0.4774	LR: 0.020000
Training Epoch: 24 [47360/48700]	Loss: 0.4296	LR: 0.020000
Training Epoch: 24 [47616/48700]	Loss: 0.3939	LR: 0.020000
Training Epoch: 24 [47872/48700]	Loss: 0.3355	LR: 0.020000
Training Epoch: 24 [48128/48700]	Loss: 0.3976	LR: 0.020000
Training Epoch: 24 [48384/48700]	Loss: 0.4922	LR: 0.020000
Training Epoch: 24 [48640/48700]	Loss: 0.4254	LR: 0.020000
Training Epoch: 24 [48700/48700]	Loss: 0.3697	LR: 0.020000
Epoch 24 - Average Train Loss: 0.4053, Train Accuracy: 0.8652
Epoch 24 training time consumed: 29.81s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0030, Accuracy: 0.7734, Time consumed:1.01s
Training Epoch: 25 [256/48700]	Loss: 0.4054	LR: 0.020000
Training Epoch: 25 [512/48700]	Loss: 0.3803	LR: 0.020000
Training Epoch: 25 [768/48700]	Loss: 0.3910	LR: 0.020000
Training Epoch: 25 [1024/48700]	Loss: 0.3626	LR: 0.020000
Training Epoch: 25 [1280/48700]	Loss: 0.4448	LR: 0.020000
Training Epoch: 25 [1536/48700]	Loss: 0.4080	LR: 0.020000
Training Epoch: 25 [1792/48700]	Loss: 0.3101	LR: 0.020000
Training Epoch: 25 [2048/48700]	Loss: 0.2894	LR: 0.020000
Training Epoch: 25 [2304/48700]	Loss: 0.4195	LR: 0.020000
Training Epoch: 25 [2560/48700]	Loss: 0.4319	LR: 0.020000
Training Epoch: 25 [2816/48700]	Loss: 0.3130	LR: 0.020000
Training Epoch: 25 [3072/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 25 [3328/48700]	Loss: 0.4019	LR: 0.020000
Training Epoch: 25 [3584/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 25 [3840/48700]	Loss: 0.4055	LR: 0.020000
Training Epoch: 25 [4096/48700]	Loss: 0.3905	LR: 0.020000
Training Epoch: 25 [4352/48700]	Loss: 0.3793	LR: 0.020000
Training Epoch: 25 [4608/48700]	Loss: 0.4308	LR: 0.020000
Training Epoch: 25 [4864/48700]	Loss: 0.3157	LR: 0.020000
Training Epoch: 25 [5120/48700]	Loss: 0.3771	LR: 0.020000
Training Epoch: 25 [5376/48700]	Loss: 0.3916	LR: 0.020000
Training Epoch: 25 [5632/48700]	Loss: 0.4766	LR: 0.020000
Training Epoch: 25 [5888/48700]	Loss: 0.4061	LR: 0.020000
Training Epoch: 25 [6144/48700]	Loss: 0.3205	LR: 0.020000
Training Epoch: 25 [6400/48700]	Loss: 0.3797	LR: 0.020000
Training Epoch: 25 [6656/48700]	Loss: 0.4442	LR: 0.020000
Training Epoch: 25 [6912/48700]	Loss: 0.4124	LR: 0.020000
Training Epoch: 25 [7168/48700]	Loss: 0.4324	LR: 0.020000
Training Epoch: 25 [7424/48700]	Loss: 0.2855	LR: 0.020000
Training Epoch: 25 [7680/48700]	Loss: 0.3794	LR: 0.020000
Training Epoch: 25 [7936/48700]	Loss: 0.3535	LR: 0.020000
Training Epoch: 25 [8192/48700]	Loss: 0.3846	LR: 0.020000
Training Epoch: 25 [8448/48700]	Loss: 0.4089	LR: 0.020000
Training Epoch: 25 [8704/48700]	Loss: 0.4366	LR: 0.020000
Training Epoch: 25 [8960/48700]	Loss: 0.3998	LR: 0.020000
Training Epoch: 25 [9216/48700]	Loss: 0.3592	LR: 0.020000
Training Epoch: 25 [9472/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 25 [9728/48700]	Loss: 0.3423	LR: 0.020000
Training Epoch: 25 [9984/48700]	Loss: 0.3950	LR: 0.020000
Training Epoch: 25 [10240/48700]	Loss: 0.3814	LR: 0.020000
Training Epoch: 25 [10496/48700]	Loss: 0.3776	LR: 0.020000
Training Epoch: 25 [10752/48700]	Loss: 0.3995	LR: 0.020000
Training Epoch: 25 [11008/48700]	Loss: 0.4099	LR: 0.020000
Training Epoch: 25 [11264/48700]	Loss: 0.3331	LR: 0.020000
Training Epoch: 25 [11520/48700]	Loss: 0.4060	LR: 0.020000
Training Epoch: 25 [11776/48700]	Loss: 0.3524	LR: 0.020000
Training Epoch: 25 [12032/48700]	Loss: 0.3458	LR: 0.020000
Training Epoch: 25 [12288/48700]	Loss: 0.3481	LR: 0.020000
Training Epoch: 25 [12544/48700]	Loss: 0.3837	LR: 0.020000
Training Epoch: 25 [12800/48700]	Loss: 0.3421	LR: 0.020000
Training Epoch: 25 [13056/48700]	Loss: 0.3423	LR: 0.020000
Training Epoch: 25 [13312/48700]	Loss: 0.3552	LR: 0.020000
Training Epoch: 25 [13568/48700]	Loss: 0.4414	LR: 0.020000
Training Epoch: 25 [13824/48700]	Loss: 0.3259	LR: 0.020000
Training Epoch: 25 [14080/48700]	Loss: 0.4086	LR: 0.020000
Training Epoch: 25 [14336/48700]	Loss: 0.3484	LR: 0.020000
Training Epoch: 25 [14592/48700]	Loss: 0.4792	LR: 0.020000
Training Epoch: 25 [14848/48700]	Loss: 0.4145	LR: 0.020000
Training Epoch: 25 [15104/48700]	Loss: 0.3494	LR: 0.020000
Training Epoch: 25 [15360/48700]	Loss: 0.3797	LR: 0.020000
Training Epoch: 25 [15616/48700]	Loss: 0.3583	LR: 0.020000
Training Epoch: 25 [15872/48700]	Loss: 0.3908	LR: 0.020000
Training Epoch: 25 [16128/48700]	Loss: 0.3838	LR: 0.020000
Training Epoch: 25 [16384/48700]	Loss: 0.4408	LR: 0.020000
Training Epoch: 25 [16640/48700]	Loss: 0.4344	LR: 0.020000
Training Epoch: 25 [16896/48700]	Loss: 0.4380	LR: 0.020000
Training Epoch: 25 [17152/48700]	Loss: 0.4282	LR: 0.020000
Training Epoch: 25 [17408/48700]	Loss: 0.2777	LR: 0.020000
Training Epoch: 25 [17664/48700]	Loss: 0.3283	LR: 0.020000
Training Epoch: 25 [17920/48700]	Loss: 0.3523	LR: 0.020000
Training Epoch: 25 [18176/48700]	Loss: 0.4151	LR: 0.020000
Training Epoch: 25 [18432/48700]	Loss: 0.4632	LR: 0.020000
Training Epoch: 25 [18688/48700]	Loss: 0.3267	LR: 0.020000
Training Epoch: 25 [18944/48700]	Loss: 0.3928	LR: 0.020000
Training Epoch: 25 [19200/48700]	Loss: 0.3383	LR: 0.020000
Training Epoch: 25 [19456/48700]	Loss: 0.3472	LR: 0.020000
Training Epoch: 25 [19712/48700]	Loss: 0.3674	LR: 0.020000
Training Epoch: 25 [19968/48700]	Loss: 0.3894	LR: 0.020000
Training Epoch: 25 [20224/48700]	Loss: 0.3755	LR: 0.020000
Training Epoch: 25 [20480/48700]	Loss: 0.3481	LR: 0.020000
Training Epoch: 25 [20736/48700]	Loss: 0.4055	LR: 0.020000
Training Epoch: 25 [20992/48700]	Loss: 0.3445	LR: 0.020000
Training Epoch: 25 [21248/48700]	Loss: 0.3609	LR: 0.020000
Training Epoch: 25 [21504/48700]	Loss: 0.4144	LR: 0.020000
Training Epoch: 25 [21760/48700]	Loss: 0.4942	LR: 0.020000
Training Epoch: 25 [22016/48700]	Loss: 0.3024	LR: 0.020000
Training Epoch: 25 [22272/48700]	Loss: 0.4066	LR: 0.020000
Training Epoch: 25 [22528/48700]	Loss: 0.3764	LR: 0.020000
Training Epoch: 25 [22784/48700]	Loss: 0.3647	LR: 0.020000
Training Epoch: 25 [23040/48700]	Loss: 0.4222	LR: 0.020000
Training Epoch: 25 [23296/48700]	Loss: 0.3708	LR: 0.020000
Training Epoch: 25 [23552/48700]	Loss: 0.3633	LR: 0.020000
Training Epoch: 25 [23808/48700]	Loss: 0.4716	LR: 0.020000
Training Epoch: 25 [24064/48700]	Loss: 0.3981	LR: 0.020000
Training Epoch: 25 [24320/48700]	Loss: 0.3513	LR: 0.020000
Training Epoch: 25 [24576/48700]	Loss: 0.3228	LR: 0.020000
Training Epoch: 25 [24832/48700]	Loss: 0.3836	LR: 0.020000
Training Epoch: 25 [25088/48700]	Loss: 0.4003	LR: 0.020000
Training Epoch: 25 [25344/48700]	Loss: 0.3124	LR: 0.020000
Training Epoch: 25 [25600/48700]	Loss: 0.4013	LR: 0.020000
Training Epoch: 25 [25856/48700]	Loss: 0.4261	LR: 0.020000
Training Epoch: 25 [26112/48700]	Loss: 0.4716	LR: 0.020000
Training Epoch: 25 [26368/48700]	Loss: 0.3895	LR: 0.020000
Training Epoch: 25 [26624/48700]	Loss: 0.5370	LR: 0.020000
Training Epoch: 25 [26880/48700]	Loss: 0.4663	LR: 0.020000
Training Epoch: 25 [27136/48700]	Loss: 0.3818	LR: 0.020000
Training Epoch: 25 [27392/48700]	Loss: 0.4001	LR: 0.020000
Training Epoch: 25 [27648/48700]	Loss: 0.4113	LR: 0.020000
Training Epoch: 25 [27904/48700]	Loss: 0.3921	LR: 0.020000
Training Epoch: 25 [28160/48700]	Loss: 0.3414	LR: 0.020000
Training Epoch: 25 [28416/48700]	Loss: 0.3367	LR: 0.020000
Training Epoch: 25 [28672/48700]	Loss: 0.3683	LR: 0.020000
Training Epoch: 25 [28928/48700]	Loss: 0.4217	LR: 0.020000
Training Epoch: 25 [29184/48700]	Loss: 0.3803	LR: 0.020000
Training Epoch: 25 [29440/48700]	Loss: 0.3819	LR: 0.020000
Training Epoch: 25 [29696/48700]	Loss: 0.4503	LR: 0.020000
Training Epoch: 25 [29952/48700]	Loss: 0.3851	LR: 0.020000
Training Epoch: 25 [30208/48700]	Loss: 0.5227	LR: 0.020000
Training Epoch: 25 [30464/48700]	Loss: 0.4072	LR: 0.020000
Training Epoch: 25 [30720/48700]	Loss: 0.3791	LR: 0.020000
Training Epoch: 25 [30976/48700]	Loss: 0.4015	LR: 0.020000
Training Epoch: 25 [31232/48700]	Loss: 0.3300	LR: 0.020000
Training Epoch: 25 [31488/48700]	Loss: 0.3949	LR: 0.020000
Training Epoch: 25 [31744/48700]	Loss: 0.4095	LR: 0.020000
Training Epoch: 25 [32000/48700]	Loss: 0.4226	LR: 0.020000
Training Epoch: 25 [32256/48700]	Loss: 0.3325	LR: 0.020000
Training Epoch: 25 [32512/48700]	Loss: 0.3188	LR: 0.020000
Training Epoch: 25 [32768/48700]	Loss: 0.3227	LR: 0.020000
Training Epoch: 25 [33024/48700]	Loss: 0.4272	LR: 0.020000
Training Epoch: 25 [33280/48700]	Loss: 0.3713	LR: 0.020000
Training Epoch: 25 [33536/48700]	Loss: 0.4111	LR: 0.020000
Training Epoch: 25 [33792/48700]	Loss: 0.3943	LR: 0.020000
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Training Epoch: 25 [34560/48700]	Loss: 0.4195	LR: 0.020000
Training Epoch: 25 [34816/48700]	Loss: 0.3045	LR: 0.020000
Training Epoch: 25 [35072/48700]	Loss: 0.3486	LR: 0.020000
Training Epoch: 25 [35328/48700]	Loss: 0.4012	LR: 0.020000
Training Epoch: 25 [35584/48700]	Loss: 0.3554	LR: 0.020000
Training Epoch: 25 [35840/48700]	Loss: 0.3261	LR: 0.020000
Training Epoch: 25 [36096/48700]	Loss: 0.3924	LR: 0.020000
Training Epoch: 25 [36352/48700]	Loss: 0.3737	LR: 0.020000
Training Epoch: 25 [36608/48700]	Loss: 0.3998	LR: 0.020000
Training Epoch: 25 [36864/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 25 [37120/48700]	Loss: 0.4664	LR: 0.020000
Training Epoch: 25 [37376/48700]	Loss: 0.3713	LR: 0.020000
Training Epoch: 25 [37632/48700]	Loss: 0.3233	LR: 0.020000
Training Epoch: 25 [37888/48700]	Loss: 0.4123	LR: 0.020000
Training Epoch: 25 [38144/48700]	Loss: 0.3409	LR: 0.020000
Training Epoch: 25 [38400/48700]	Loss: 0.3489	LR: 0.020000
Training Epoch: 25 [38656/48700]	Loss: 0.3812	LR: 0.020000
Training Epoch: 25 [38912/48700]	Loss: 0.5210	LR: 0.020000
Training Epoch: 25 [39168/48700]	Loss: 0.4054	LR: 0.020000
Training Epoch: 25 [39424/48700]	Loss: 0.4363	LR: 0.020000
Training Epoch: 25 [39680/48700]	Loss: 0.3498	LR: 0.020000
Training Epoch: 25 [39936/48700]	Loss: 0.3151	LR: 0.020000
Training Epoch: 25 [40192/48700]	Loss: 0.4384	LR: 0.020000
Training Epoch: 25 [40448/48700]	Loss: 0.4429	LR: 0.020000
Training Epoch: 25 [40704/48700]	Loss: 0.4341	LR: 0.020000
Training Epoch: 25 [40960/48700]	Loss: 0.4182	LR: 0.020000
Training Epoch: 25 [41216/48700]	Loss: 0.4379	LR: 0.020000
Training Epoch: 25 [41472/48700]	Loss: 0.3791	LR: 0.020000
Training Epoch: 25 [41728/48700]	Loss: 0.4612	LR: 0.020000
Training Epoch: 25 [41984/48700]	Loss: 0.3160	LR: 0.020000
Training Epoch: 25 [42240/48700]	Loss: 0.3798	LR: 0.020000
Training Epoch: 25 [42496/48700]	Loss: 0.4643	LR: 0.020000
Training Epoch: 25 [42752/48700]	Loss: 0.3884	LR: 0.020000
Training Epoch: 25 [43008/48700]	Loss: 0.4081	LR: 0.020000
Training Epoch: 25 [43264/48700]	Loss: 0.4684	LR: 0.020000
Training Epoch: 25 [43520/48700]	Loss: 0.3946	LR: 0.020000
Training Epoch: 25 [43776/48700]	Loss: 0.4542	LR: 0.020000
Training Epoch: 25 [44032/48700]	Loss: 0.3534	LR: 0.020000
Training Epoch: 25 [44288/48700]	Loss: 0.4341	LR: 0.020000
Training Epoch: 25 [44544/48700]	Loss: 0.3397	LR: 0.020000
Training Epoch: 25 [44800/48700]	Loss: 0.4389	LR: 0.020000
Training Epoch: 25 [45056/48700]	Loss: 0.4625	LR: 0.020000
Training Epoch: 25 [45312/48700]	Loss: 0.4437	LR: 0.020000
Training Epoch: 25 [45568/48700]	Loss: 0.3908	LR: 0.020000
Training Epoch: 25 [45824/48700]	Loss: 0.3599	LR: 0.020000
Training Epoch: 25 [46080/48700]	Loss: 0.4582	LR: 0.020000
Training Epoch: 25 [46336/48700]	Loss: 0.4643	LR: 0.020000
Training Epoch: 25 [46592/48700]	Loss: 0.3801	LR: 0.020000
Training Epoch: 25 [46848/48700]	Loss: 0.3153	LR: 0.020000
Training Epoch: 25 [47104/48700]	Loss: 0.3985	LR: 0.020000
Training Epoch: 25 [47360/48700]	Loss: 0.3428	LR: 0.020000
Training Epoch: 25 [47616/48700]	Loss: 0.4935	LR: 0.020000
Training Epoch: 25 [47872/48700]	Loss: 0.3997	LR: 0.020000
Training Epoch: 25 [48128/48700]	Loss: 0.3603	LR: 0.020000
Training Epoch: 25 [48384/48700]	Loss: 0.3812	LR: 0.020000
Training Epoch: 25 [48640/48700]	Loss: 0.5635	LR: 0.020000
Training Epoch: 25 [48700/48700]	Loss: 0.2401	LR: 0.020000
Epoch 25 - Average Train Loss: 0.3909, Train Accuracy: 0.8705
Epoch 25 training time consumed: 29.92s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0032, Accuracy: 0.7692, Time consumed:0.94s
Training Epoch: 26 [256/48700]	Loss: 0.3170	LR: 0.020000
Training Epoch: 26 [512/48700]	Loss: 0.2898	LR: 0.020000
Training Epoch: 26 [768/48700]	Loss: 0.4275	LR: 0.020000
Training Epoch: 26 [1024/48700]	Loss: 0.3093	LR: 0.020000
Training Epoch: 26 [1280/48700]	Loss: 0.3429	LR: 0.020000
Training Epoch: 26 [1536/48700]	Loss: 0.3400	LR: 0.020000
Training Epoch: 26 [1792/48700]	Loss: 0.3376	LR: 0.020000
Training Epoch: 26 [2048/48700]	Loss: 0.3218	LR: 0.020000
Training Epoch: 26 [2304/48700]	Loss: 0.3047	LR: 0.020000
Training Epoch: 26 [2560/48700]	Loss: 0.3290	LR: 0.020000
Training Epoch: 26 [2816/48700]	Loss: 0.3085	LR: 0.020000
Training Epoch: 26 [3072/48700]	Loss: 0.3035	LR: 0.020000
Training Epoch: 26 [3328/48700]	Loss: 0.4202	LR: 0.020000
Training Epoch: 26 [3584/48700]	Loss: 0.4020	LR: 0.020000
Training Epoch: 26 [3840/48700]	Loss: 0.3660	LR: 0.020000
Training Epoch: 26 [4096/48700]	Loss: 0.3694	LR: 0.020000
Training Epoch: 26 [4352/48700]	Loss: 0.4796	LR: 0.020000
Training Epoch: 26 [4608/48700]	Loss: 0.3334	LR: 0.020000
Training Epoch: 26 [4864/48700]	Loss: 0.3685	LR: 0.020000
Training Epoch: 26 [5120/48700]	Loss: 0.3610	LR: 0.020000
Training Epoch: 26 [5376/48700]	Loss: 0.3292	LR: 0.020000
Training Epoch: 26 [5632/48700]	Loss: 0.3450	LR: 0.020000
Training Epoch: 26 [5888/48700]	Loss: 0.3511	LR: 0.020000
Training Epoch: 26 [6144/48700]	Loss: 0.3072	LR: 0.020000
Training Epoch: 26 [6400/48700]	Loss: 0.3983	LR: 0.020000
Training Epoch: 26 [6656/48700]	Loss: 0.3995	LR: 0.020000
Training Epoch: 26 [6912/48700]	Loss: 0.3981	LR: 0.020000
Training Epoch: 26 [7168/48700]	Loss: 0.3580	LR: 0.020000
Training Epoch: 26 [7424/48700]	Loss: 0.3130	LR: 0.020000
Training Epoch: 26 [7680/48700]	Loss: 0.3416	LR: 0.020000
Training Epoch: 26 [7936/48700]	Loss: 0.4037	LR: 0.020000
Training Epoch: 26 [8192/48700]	Loss: 0.4494	LR: 0.020000
Training Epoch: 26 [8448/48700]	Loss: 0.3425	LR: 0.020000
Training Epoch: 26 [8704/48700]	Loss: 0.3793	LR: 0.020000
Training Epoch: 26 [8960/48700]	Loss: 0.3698	LR: 0.020000
Training Epoch: 26 [9216/48700]	Loss: 0.3574	LR: 0.020000
Training Epoch: 26 [9472/48700]	Loss: 0.2999	LR: 0.020000
Training Epoch: 26 [9728/48700]	Loss: 0.3693	LR: 0.020000
Training Epoch: 26 [9984/48700]	Loss: 0.4203	LR: 0.020000
Training Epoch: 26 [10240/48700]	Loss: 0.3680	LR: 0.020000
Training Epoch: 26 [10496/48700]	Loss: 0.4089	LR: 0.020000
Training Epoch: 26 [10752/48700]	Loss: 0.4372	LR: 0.020000
Training Epoch: 26 [11008/48700]	Loss: 0.4179	LR: 0.020000
Training Epoch: 26 [11264/48700]	Loss: 0.3535	LR: 0.020000
Training Epoch: 26 [11520/48700]	Loss: 0.3989	LR: 0.020000
Training Epoch: 26 [11776/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 26 [12032/48700]	Loss: 0.3781	LR: 0.020000
Training Epoch: 26 [12288/48700]	Loss: 0.3365	LR: 0.020000
Training Epoch: 26 [12544/48700]	Loss: 0.3290	LR: 0.020000
Training Epoch: 26 [12800/48700]	Loss: 0.3811	LR: 0.020000
Training Epoch: 26 [13056/48700]	Loss: 0.3771	LR: 0.020000
Training Epoch: 26 [13312/48700]	Loss: 0.3166	LR: 0.020000
Training Epoch: 26 [13568/48700]	Loss: 0.3394	LR: 0.020000
Training Epoch: 26 [13824/48700]	Loss: 0.3991	LR: 0.020000
Training Epoch: 26 [14080/48700]	Loss: 0.3745	LR: 0.020000
Training Epoch: 26 [14336/48700]	Loss: 0.3349	LR: 0.020000
Training Epoch: 26 [14592/48700]	Loss: 0.3990	LR: 0.020000
Training Epoch: 26 [14848/48700]	Loss: 0.4084	LR: 0.020000
Training Epoch: 26 [15104/48700]	Loss: 0.3552	LR: 0.020000
Training Epoch: 26 [15360/48700]	Loss: 0.4311	LR: 0.020000
Training Epoch: 26 [15616/48700]	Loss: 0.3603	LR: 0.020000
Training Epoch: 26 [15872/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 26 [16128/48700]	Loss: 0.3052	LR: 0.020000
Training Epoch: 26 [16384/48700]	Loss: 0.3049	LR: 0.020000
Training Epoch: 26 [16640/48700]	Loss: 0.3987	LR: 0.020000
Training Epoch: 26 [16896/48700]	Loss: 0.3634	LR: 0.020000
Training Epoch: 26 [17152/48700]	Loss: 0.3042	LR: 0.020000
Training Epoch: 26 [17408/48700]	Loss: 0.3643	LR: 0.020000
Training Epoch: 26 [17664/48700]	Loss: 0.4116	LR: 0.020000
Training Epoch: 26 [17920/48700]	Loss: 0.2682	LR: 0.020000
Training Epoch: 26 [18176/48700]	Loss: 0.4296	LR: 0.020000
Training Epoch: 26 [18432/48700]	Loss: 0.2901	LR: 0.020000
Training Epoch: 26 [18688/48700]	Loss: 0.3863	LR: 0.020000
Training Epoch: 26 [18944/48700]	Loss: 0.5010	LR: 0.020000
Training Epoch: 26 [19200/48700]	Loss: 0.3705	LR: 0.020000
Training Epoch: 26 [19456/48700]	Loss: 0.4352	LR: 0.020000
Training Epoch: 26 [19712/48700]	Loss: 0.3888	LR: 0.020000
Training Epoch: 26 [19968/48700]	Loss: 0.3479	LR: 0.020000
Training Epoch: 26 [20224/48700]	Loss: 0.3012	LR: 0.020000
Training Epoch: 26 [20480/48700]	Loss: 0.2883	LR: 0.020000
Training Epoch: 26 [20736/48700]	Loss: 0.2768	LR: 0.020000
Training Epoch: 26 [20992/48700]	Loss: 0.4109	LR: 0.020000
Training Epoch: 26 [21248/48700]	Loss: 0.3641	LR: 0.020000
Training Epoch: 26 [21504/48700]	Loss: 0.3643	LR: 0.020000
Training Epoch: 26 [21760/48700]	Loss: 0.3149	LR: 0.020000
Training Epoch: 26 [22016/48700]	Loss: 0.3506	LR: 0.020000
Training Epoch: 26 [22272/48700]	Loss: 0.3633	LR: 0.020000
Training Epoch: 26 [22528/48700]	Loss: 0.4494	LR: 0.020000
Training Epoch: 26 [22784/48700]	Loss: 0.4418	LR: 0.020000
Training Epoch: 26 [23040/48700]	Loss: 0.3812	LR: 0.020000
Training Epoch: 26 [23296/48700]	Loss: 0.4296	LR: 0.020000
Training Epoch: 26 [23552/48700]	Loss: 0.3714	LR: 0.020000
Training Epoch: 26 [23808/48700]	Loss: 0.3423	LR: 0.020000
Training Epoch: 26 [24064/48700]	Loss: 0.3805	LR: 0.020000
Training Epoch: 26 [24320/48700]	Loss: 0.4590	LR: 0.020000
Training Epoch: 26 [24576/48700]	Loss: 0.3661	LR: 0.020000
Training Epoch: 26 [24832/48700]	Loss: 0.3872	LR: 0.020000
Training Epoch: 26 [25088/48700]	Loss: 0.3638	LR: 0.020000
Training Epoch: 26 [25344/48700]	Loss: 0.4188	LR: 0.020000
Training Epoch: 26 [25600/48700]	Loss: 0.3388	LR: 0.020000
Training Epoch: 26 [25856/48700]	Loss: 0.4165	LR: 0.020000
Training Epoch: 26 [26112/48700]	Loss: 0.3309	LR: 0.020000
Training Epoch: 26 [26368/48700]	Loss: 0.4082	LR: 0.020000
Training Epoch: 26 [26624/48700]	Loss: 0.3565	LR: 0.020000
Training Epoch: 26 [26880/48700]	Loss: 0.3974	LR: 0.020000
Training Epoch: 26 [27136/48700]	Loss: 0.3252	LR: 0.020000
Training Epoch: 26 [27392/48700]	Loss: 0.3264	LR: 0.020000
Training Epoch: 26 [27648/48700]	Loss: 0.3689	LR: 0.020000
Training Epoch: 26 [27904/48700]	Loss: 0.3926	LR: 0.020000
Training Epoch: 26 [28160/48700]	Loss: 0.4112	LR: 0.020000
Training Epoch: 26 [28416/48700]	Loss: 0.3641	LR: 0.020000
Training Epoch: 26 [28672/48700]	Loss: 0.3498	LR: 0.020000
Training Epoch: 26 [28928/48700]	Loss: 0.3162	LR: 0.020000
Training Epoch: 26 [29184/48700]	Loss: 0.4135	LR: 0.020000
Training Epoch: 26 [29440/48700]	Loss: 0.3019	LR: 0.020000
Training Epoch: 26 [29696/48700]	Loss: 0.3311	LR: 0.020000
Training Epoch: 26 [29952/48700]	Loss: 0.3080	LR: 0.020000
Training Epoch: 26 [30208/48700]	Loss: 0.4928	LR: 0.020000
Training Epoch: 26 [30464/48700]	Loss: 0.4285	LR: 0.020000
Training Epoch: 26 [30720/48700]	Loss: 0.3981	LR: 0.020000
Training Epoch: 26 [30976/48700]	Loss: 0.3709	LR: 0.020000
Training Epoch: 26 [31232/48700]	Loss: 0.3344	LR: 0.020000
Training Epoch: 26 [31488/48700]	Loss: 0.4416	LR: 0.020000
Training Epoch: 26 [31744/48700]	Loss: 0.3561	LR: 0.020000
Training Epoch: 26 [32000/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 26 [32256/48700]	Loss: 0.3166	LR: 0.020000
Training Epoch: 26 [32512/48700]	Loss: 0.3684	LR: 0.020000
Training Epoch: 26 [32768/48700]	Loss: 0.3250	LR: 0.020000
Training Epoch: 26 [33024/48700]	Loss: 0.3320	LR: 0.020000
Training Epoch: 26 [33280/48700]	Loss: 0.3161	LR: 0.020000
Training Epoch: 26 [33536/48700]	Loss: 0.3588	LR: 0.020000
Training Epoch: 26 [33792/48700]	Loss: 0.5014	LR: 0.020000
Training Epoch: 26 [34048/48700]	Loss: 0.3632	LR: 0.020000
Training Epoch: 26 [34304/48700]	Loss: 0.4723	LR: 0.020000
Training Epoch: 26 [34560/48700]	Loss: 0.4241	LR: 0.020000
Training Epoch: 26 [34816/48700]	Loss: 0.3483	LR: 0.020000
Training Epoch: 26 [35072/48700]	Loss: 0.4494	LR: 0.020000
Training Epoch: 26 [35328/48700]	Loss: 0.3948	LR: 0.020000
Training Epoch: 26 [35584/48700]	Loss: 0.3623	LR: 0.020000
Training Epoch: 26 [35840/48700]	Loss: 0.3000	LR: 0.020000
Training Epoch: 26 [36096/48700]	Loss: 0.3198	LR: 0.020000
Training Epoch: 26 [36352/48700]	Loss: 0.3525	LR: 0.020000
Training Epoch: 26 [36608/48700]	Loss: 0.4449	LR: 0.020000
Training Epoch: 26 [36864/48700]	Loss: 0.4891	LR: 0.020000
Training Epoch: 26 [37120/48700]	Loss: 0.3526	LR: 0.020000
Training Epoch: 26 [37376/48700]	Loss: 0.3673	LR: 0.020000
Training Epoch: 26 [37632/48700]	Loss: 0.3297	LR: 0.020000
Training Epoch: 26 [37888/48700]	Loss: 0.3379	LR: 0.020000
Training Epoch: 26 [38144/48700]	Loss: 0.3229	LR: 0.020000
Training Epoch: 26 [38400/48700]	Loss: 0.3155	LR: 0.020000
Training Epoch: 26 [38656/48700]	Loss: 0.4712	LR: 0.020000
Training Epoch: 26 [38912/48700]	Loss: 0.3594	LR: 0.020000
Training Epoch: 26 [39168/48700]	Loss: 0.3341	LR: 0.020000
Training Epoch: 26 [39424/48700]	Loss: 0.4206	LR: 0.020000
Training Epoch: 26 [39680/48700]	Loss: 0.4747	LR: 0.020000
Training Epoch: 26 [39936/48700]	Loss: 0.3784	LR: 0.020000
Training Epoch: 26 [40192/48700]	Loss: 0.4938	LR: 0.020000
Training Epoch: 26 [40448/48700]	Loss: 0.3755	LR: 0.020000
Training Epoch: 26 [40704/48700]	Loss: 0.3675	LR: 0.020000
Training Epoch: 26 [40960/48700]	Loss: 0.3572	LR: 0.020000
Training Epoch: 26 [41216/48700]	Loss: 0.3862	LR: 0.020000
Training Epoch: 26 [41472/48700]	Loss: 0.4767	LR: 0.020000
Training Epoch: 26 [41728/48700]	Loss: 0.3388	LR: 0.020000
Training Epoch: 26 [41984/48700]	Loss: 0.3848	LR: 0.020000
Training Epoch: 26 [42240/48700]	Loss: 0.4640	LR: 0.020000
Training Epoch: 26 [42496/48700]	Loss: 0.4468	LR: 0.020000
Training Epoch: 26 [42752/48700]	Loss: 0.4261	LR: 0.020000
Training Epoch: 26 [43008/48700]	Loss: 0.4636	LR: 0.020000
Training Epoch: 26 [43264/48700]	Loss: 0.4501	LR: 0.020000
Training Epoch: 26 [43520/48700]	Loss: 0.3988	LR: 0.020000
Training Epoch: 26 [43776/48700]	Loss: 0.3181	LR: 0.020000
Training Epoch: 26 [44032/48700]	Loss: 0.4290	LR: 0.020000
Training Epoch: 26 [44288/48700]	Loss: 0.4706	LR: 0.020000
Training Epoch: 26 [44544/48700]	Loss: 0.3487	LR: 0.020000
Training Epoch: 26 [44800/48700]	Loss: 0.3368	LR: 0.020000
Training Epoch: 26 [45056/48700]	Loss: 0.4668	LR: 0.020000
Training Epoch: 26 [45312/48700]	Loss: 0.3863	LR: 0.020000
Training Epoch: 26 [45568/48700]	Loss: 0.3487	LR: 0.020000
Training Epoch: 26 [45824/48700]	Loss: 0.4408	LR: 0.020000
Training Epoch: 26 [46080/48700]	Loss: 0.3760	LR: 0.020000
Training Epoch: 26 [46336/48700]	Loss: 0.3910	LR: 0.020000
Training Epoch: 26 [46592/48700]	Loss: 0.4233	LR: 0.020000
Training Epoch: 26 [46848/48700]	Loss: 0.3526	LR: 0.020000
Training Epoch: 26 [47104/48700]	Loss: 0.3360	LR: 0.020000
Training Epoch: 26 [47360/48700]	Loss: 0.3810	LR: 0.020000
Training Epoch: 26 [47616/48700]	Loss: 0.4692	LR: 0.020000
Training Epoch: 26 [47872/48700]	Loss: 0.4811	LR: 0.020000
Training Epoch: 26 [48128/48700]	Loss: 0.4649	LR: 0.020000
Training Epoch: 26 [48384/48700]	Loss: 0.4424	LR: 0.020000
Training Epoch: 26 [48640/48700]	Loss: 0.5244	LR: 0.020000
Training Epoch: 26 [48700/48700]	Loss: 0.3674	LR: 0.020000
Epoch 26 - Average Train Loss: 0.3774, Train Accuracy: 0.8751
Epoch 26 training time consumed: 29.72s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0033, Accuracy: 0.7633, Time consumed:0.95s
Training Epoch: 27 [256/48700]	Loss: 0.3461	LR: 0.020000
Training Epoch: 27 [512/48700]	Loss: 0.3741	LR: 0.020000
Training Epoch: 27 [768/48700]	Loss: 0.3998	LR: 0.020000
Training Epoch: 27 [1024/48700]	Loss: 0.3928	LR: 0.020000
Training Epoch: 27 [1280/48700]	Loss: 0.3701	LR: 0.020000
Training Epoch: 27 [1536/48700]	Loss: 0.3815	LR: 0.020000
Training Epoch: 27 [1792/48700]	Loss: 0.3336	LR: 0.020000
Training Epoch: 27 [2048/48700]	Loss: 0.3813	LR: 0.020000
Training Epoch: 27 [2304/48700]	Loss: 0.3195	LR: 0.020000
Training Epoch: 27 [2560/48700]	Loss: 0.3243	LR: 0.020000
Training Epoch: 27 [2816/48700]	Loss: 0.3543	LR: 0.020000
Training Epoch: 27 [3072/48700]	Loss: 0.3702	LR: 0.020000
Training Epoch: 27 [3328/48700]	Loss: 0.3169	LR: 0.020000
Training Epoch: 27 [3584/48700]	Loss: 0.4098	LR: 0.020000
Training Epoch: 27 [3840/48700]	Loss: 0.3363	LR: 0.020000
Training Epoch: 27 [4096/48700]	Loss: 0.3914	LR: 0.020000
Training Epoch: 27 [4352/48700]	Loss: 0.3204	LR: 0.020000
Training Epoch: 27 [4608/48700]	Loss: 0.3036	LR: 0.020000
Training Epoch: 27 [4864/48700]	Loss: 0.3299	LR: 0.020000
Training Epoch: 27 [5120/48700]	Loss: 0.4065	LR: 0.020000
Training Epoch: 27 [5376/48700]	Loss: 0.3144	LR: 0.020000
Training Epoch: 27 [5632/48700]	Loss: 0.4122	LR: 0.020000
Training Epoch: 27 [5888/48700]	Loss: 0.3507	LR: 0.020000
Training Epoch: 27 [6144/48700]	Loss: 0.3190	LR: 0.020000
Training Epoch: 27 [6400/48700]	Loss: 0.2617	LR: 0.020000
Training Epoch: 27 [6656/48700]	Loss: 0.3786	LR: 0.020000
Training Epoch: 27 [6912/48700]	Loss: 0.3832	LR: 0.020000
Training Epoch: 27 [7168/48700]	Loss: 0.3184	LR: 0.020000
Training Epoch: 27 [7424/48700]	Loss: 0.4182	LR: 0.020000
Training Epoch: 27 [7680/48700]	Loss: 0.3454	LR: 0.020000
Training Epoch: 27 [7936/48700]	Loss: 0.3251	LR: 0.020000
Training Epoch: 27 [8192/48700]	Loss: 0.2874	LR: 0.020000
Training Epoch: 27 [8448/48700]	Loss: 0.3739	LR: 0.020000
Training Epoch: 27 [8704/48700]	Loss: 0.3269	LR: 0.020000
Training Epoch: 27 [8960/48700]	Loss: 0.2724	LR: 0.020000
Training Epoch: 27 [9216/48700]	Loss: 0.3171	LR: 0.020000
Training Epoch: 27 [9472/48700]	Loss: 0.2700	LR: 0.020000
Training Epoch: 27 [9728/48700]	Loss: 0.3184	LR: 0.020000
Training Epoch: 27 [9984/48700]	Loss: 0.3814	LR: 0.020000
Training Epoch: 27 [10240/48700]	Loss: 0.3497	LR: 0.020000
Training Epoch: 27 [10496/48700]	Loss: 0.3792	LR: 0.020000
Training Epoch: 27 [10752/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 27 [11008/48700]	Loss: 0.3059	LR: 0.020000
Training Epoch: 27 [11264/48700]	Loss: 0.3761	LR: 0.020000
Training Epoch: 27 [11520/48700]	Loss: 0.3127	LR: 0.020000
Training Epoch: 27 [11776/48700]	Loss: 0.2966	LR: 0.020000
Training Epoch: 27 [12032/48700]	Loss: 0.2987	LR: 0.020000
Training Epoch: 27 [12288/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 27 [12544/48700]	Loss: 0.3861	LR: 0.020000
Training Epoch: 27 [12800/48700]	Loss: 0.3018	LR: 0.020000
Training Epoch: 27 [13056/48700]	Loss: 0.2902	LR: 0.020000
Training Epoch: 27 [13312/48700]	Loss: 0.3209	LR: 0.020000
Training Epoch: 27 [13568/48700]	Loss: 0.3127	LR: 0.020000
Training Epoch: 27 [13824/48700]	Loss: 0.3659	LR: 0.020000
Training Epoch: 27 [14080/48700]	Loss: 0.4137	LR: 0.020000
Training Epoch: 27 [14336/48700]	Loss: 0.3001	LR: 0.020000
Training Epoch: 27 [14592/48700]	Loss: 0.3271	LR: 0.020000
Training Epoch: 27 [14848/48700]	Loss: 0.3882	LR: 0.020000
Training Epoch: 27 [15104/48700]	Loss: 0.3089	LR: 0.020000
Training Epoch: 27 [15360/48700]	Loss: 0.2782	LR: 0.020000
Training Epoch: 27 [15616/48700]	Loss: 0.3496	LR: 0.020000
Training Epoch: 27 [15872/48700]	Loss: 0.3583	LR: 0.020000
Training Epoch: 27 [16128/48700]	Loss: 0.4268	LR: 0.020000
Training Epoch: 27 [16384/48700]	Loss: 0.3636	LR: 0.020000
Training Epoch: 27 [16640/48700]	Loss: 0.3287	LR: 0.020000
Training Epoch: 27 [16896/48700]	Loss: 0.3053	LR: 0.020000
Training Epoch: 27 [17152/48700]	Loss: 0.3803	LR: 0.020000
Training Epoch: 27 [17408/48700]	Loss: 0.4142	LR: 0.020000
Training Epoch: 27 [17664/48700]	Loss: 0.4005	LR: 0.020000
Training Epoch: 27 [17920/48700]	Loss: 0.3767	LR: 0.020000
Training Epoch: 27 [18176/48700]	Loss: 0.3598	LR: 0.020000
Training Epoch: 27 [18432/48700]	Loss: 0.3335	LR: 0.020000
Training Epoch: 27 [18688/48700]	Loss: 0.4221	LR: 0.020000
Training Epoch: 27 [18944/48700]	Loss: 0.3326	LR: 0.020000
Training Epoch: 27 [19200/48700]	Loss: 0.3060	LR: 0.020000
Training Epoch: 27 [19456/48700]	Loss: 0.3638	LR: 0.020000
Training Epoch: 27 [19712/48700]	Loss: 0.4096	LR: 0.020000
Training Epoch: 27 [19968/48700]	Loss: 0.3343	LR: 0.020000
Training Epoch: 27 [20224/48700]	Loss: 0.4077	LR: 0.020000
Training Epoch: 27 [20480/48700]	Loss: 0.3488	LR: 0.020000
Training Epoch: 27 [20736/48700]	Loss: 0.3367	LR: 0.020000
Training Epoch: 27 [20992/48700]	Loss: 0.3340	LR: 0.020000
Training Epoch: 27 [21248/48700]	Loss: 0.3862	LR: 0.020000
Training Epoch: 27 [21504/48700]	Loss: 0.3854	LR: 0.020000
Training Epoch: 27 [21760/48700]	Loss: 0.3373	LR: 0.020000
Training Epoch: 27 [22016/48700]	Loss: 0.4510	LR: 0.020000
Training Epoch: 27 [22272/48700]	Loss: 0.3772	LR: 0.020000
Training Epoch: 27 [22528/48700]	Loss: 0.3316	LR: 0.020000
Training Epoch: 27 [22784/48700]	Loss: 0.4129	LR: 0.020000
Training Epoch: 27 [23040/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 27 [23296/48700]	Loss: 0.4256	LR: 0.020000
Training Epoch: 27 [23552/48700]	Loss: 0.3596	LR: 0.020000
Training Epoch: 27 [23808/48700]	Loss: 0.3669	LR: 0.020000
Training Epoch: 27 [24064/48700]	Loss: 0.3462	LR: 0.020000
Training Epoch: 27 [24320/48700]	Loss: 0.3479	LR: 0.020000
Training Epoch: 27 [24576/48700]	Loss: 0.2496	LR: 0.020000
Training Epoch: 27 [24832/48700]	Loss: 0.4194	LR: 0.020000
Training Epoch: 27 [25088/48700]	Loss: 0.3495	LR: 0.020000
Training Epoch: 27 [25344/48700]	Loss: 0.3325	LR: 0.020000
Training Epoch: 27 [25600/48700]	Loss: 0.3058	LR: 0.020000
Training Epoch: 27 [25856/48700]	Loss: 0.3751	LR: 0.020000
Training Epoch: 27 [26112/48700]	Loss: 0.3840	LR: 0.020000
Training Epoch: 27 [26368/48700]	Loss: 0.2632	LR: 0.020000
Training Epoch: 27 [26624/48700]	Loss: 0.3309	LR: 0.020000
Training Epoch: 27 [26880/48700]	Loss: 0.3814	LR: 0.020000
Training Epoch: 27 [27136/48700]	Loss: 0.3319	LR: 0.020000
Training Epoch: 27 [27392/48700]	Loss: 0.3973	LR: 0.020000
Training Epoch: 27 [27648/48700]	Loss: 0.3676	LR: 0.020000
Training Epoch: 27 [27904/48700]	Loss: 0.3968	LR: 0.020000
Training Epoch: 27 [28160/48700]	Loss: 0.3449	LR: 0.020000
Training Epoch: 27 [28416/48700]	Loss: 0.4053	LR: 0.020000
Training Epoch: 27 [28672/48700]	Loss: 0.3835	LR: 0.020000
Training Epoch: 27 [28928/48700]	Loss: 0.3999	LR: 0.020000
Training Epoch: 27 [29184/48700]	Loss: 0.3716	LR: 0.020000
Training Epoch: 27 [29440/48700]	Loss: 0.3304	LR: 0.020000
Training Epoch: 27 [29696/48700]	Loss: 0.3883	LR: 0.020000
Training Epoch: 27 [29952/48700]	Loss: 0.4557	LR: 0.020000
Training Epoch: 27 [30208/48700]	Loss: 0.2414	LR: 0.020000
Training Epoch: 27 [30464/48700]	Loss: 0.3427	LR: 0.020000
Training Epoch: 27 [30720/48700]	Loss: 0.3601	LR: 0.020000
Training Epoch: 27 [30976/48700]	Loss: 0.3424	LR: 0.020000
Training Epoch: 27 [31232/48700]	Loss: 0.3508	LR: 0.020000
Training Epoch: 27 [31488/48700]	Loss: 0.3423	LR: 0.020000
Training Epoch: 27 [31744/48700]	Loss: 0.3648	LR: 0.020000
Training Epoch: 27 [32000/48700]	Loss: 0.4246	LR: 0.020000
Training Epoch: 27 [32256/48700]	Loss: 0.4383	LR: 0.020000
Training Epoch: 27 [32512/48700]	Loss: 0.2950	LR: 0.020000
Training Epoch: 27 [32768/48700]	Loss: 0.3959	LR: 0.020000
Training Epoch: 27 [33024/48700]	Loss: 0.3229	LR: 0.020000
Training Epoch: 27 [33280/48700]	Loss: 0.3433	LR: 0.020000
Training Epoch: 27 [33536/48700]	Loss: 0.3407	LR: 0.020000
Training Epoch: 27 [33792/48700]	Loss: 0.3136	LR: 0.020000
Training Epoch: 27 [34048/48700]	Loss: 0.3883	LR: 0.020000
Training Epoch: 27 [34304/48700]	Loss: 0.3877	LR: 0.020000
Training Epoch: 27 [34560/48700]	Loss: 0.3034	LR: 0.020000
Training Epoch: 27 [34816/48700]	Loss: 0.4117	LR: 0.020000
Training Epoch: 27 [35072/48700]	Loss: 0.3665	LR: 0.020000
Training Epoch: 27 [35328/48700]	Loss: 0.3056	LR: 0.020000
Training Epoch: 27 [35584/48700]	Loss: 0.4218	LR: 0.020000
Training Epoch: 27 [35840/48700]	Loss: 0.3901	LR: 0.020000
Training Epoch: 27 [36096/48700]	Loss: 0.3410	LR: 0.020000
Training Epoch: 27 [36352/48700]	Loss: 0.3785	LR: 0.020000
Training Epoch: 27 [36608/48700]	Loss: 0.3655	LR: 0.020000
Training Epoch: 27 [36864/48700]	Loss: 0.3739	LR: 0.020000
Training Epoch: 27 [37120/48700]	Loss: 0.3073	LR: 0.020000
Training Epoch: 27 [37376/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 27 [37632/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 27 [37888/48700]	Loss: 0.4580	LR: 0.020000
Training Epoch: 27 [38144/48700]	Loss: 0.3164	LR: 0.020000
Training Epoch: 27 [38400/48700]	Loss: 0.3900	LR: 0.020000
Training Epoch: 27 [38656/48700]	Loss: 0.3903	LR: 0.020000
Training Epoch: 27 [38912/48700]	Loss: 0.4835	LR: 0.020000
Training Epoch: 27 [39168/48700]	Loss: 0.3574	LR: 0.020000
Training Epoch: 27 [39424/48700]	Loss: 0.4289	LR: 0.020000
Training Epoch: 27 [39680/48700]	Loss: 0.3384	LR: 0.020000
Training Epoch: 27 [39936/48700]	Loss: 0.3436	LR: 0.020000
Training Epoch: 27 [40192/48700]	Loss: 0.2905	LR: 0.020000
Training Epoch: 27 [40448/48700]	Loss: 0.4758	LR: 0.020000
Training Epoch: 27 [40704/48700]	Loss: 0.3674	LR: 0.020000
Training Epoch: 27 [40960/48700]	Loss: 0.3452	LR: 0.020000
Training Epoch: 27 [41216/48700]	Loss: 0.3507	LR: 0.020000
Training Epoch: 27 [41472/48700]	Loss: 0.3294	LR: 0.020000
Training Epoch: 27 [41728/48700]	Loss: 0.4007	LR: 0.020000
Training Epoch: 27 [41984/48700]	Loss: 0.3684	LR: 0.020000
Training Epoch: 27 [42240/48700]	Loss: 0.3637	LR: 0.020000
Training Epoch: 27 [42496/48700]	Loss: 0.3559	LR: 0.020000
Training Epoch: 27 [42752/48700]	Loss: 0.4607	LR: 0.020000
Training Epoch: 27 [43008/48700]	Loss: 0.3739	LR: 0.020000
Training Epoch: 27 [43264/48700]	Loss: 0.4356	LR: 0.020000
Training Epoch: 27 [43520/48700]	Loss: 0.3138	LR: 0.020000
Training Epoch: 27 [43776/48700]	Loss: 0.3890	LR: 0.020000
Training Epoch: 27 [44032/48700]	Loss: 0.4345	LR: 0.020000
Training Epoch: 27 [44288/48700]	Loss: 0.3809	LR: 0.020000
Training Epoch: 27 [44544/48700]	Loss: 0.3638	LR: 0.020000
Training Epoch: 27 [44800/48700]	Loss: 0.4102	LR: 0.020000
Training Epoch: 27 [45056/48700]	Loss: 0.3081	LR: 0.020000
Training Epoch: 27 [45312/48700]	Loss: 0.4899	LR: 0.020000
Training Epoch: 27 [45568/48700]	Loss: 0.3783	LR: 0.020000
Training Epoch: 27 [45824/48700]	Loss: 0.3665	LR: 0.020000
Training Epoch: 27 [46080/48700]	Loss: 0.3161	LR: 0.020000
Training Epoch: 27 [46336/48700]	Loss: 0.4019	LR: 0.020000
Training Epoch: 27 [46592/48700]	Loss: 0.3423	LR: 0.020000
Training Epoch: 27 [46848/48700]	Loss: 0.3391	LR: 0.020000
Training Epoch: 27 [47104/48700]	Loss: 0.2931	LR: 0.020000
Training Epoch: 27 [47360/48700]	Loss: 0.3560	LR: 0.020000
Training Epoch: 27 [47616/48700]	Loss: 0.3857	LR: 0.020000
Training Epoch: 27 [47872/48700]	Loss: 0.4270	LR: 0.020000
Training Epoch: 27 [48128/48700]	Loss: 0.4827	LR: 0.020000
Training Epoch: 27 [48384/48700]	Loss: 0.3711	LR: 0.020000
Training Epoch: 27 [48640/48700]	Loss: 0.3278	LR: 0.020000
Training Epoch: 27 [48700/48700]	Loss: 0.3814	LR: 0.020000
Epoch 27 - Average Train Loss: 0.3604, Train Accuracy: 0.8790
Epoch 27 training time consumed: 29.75s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0032, Accuracy: 0.7700, Time consumed:0.93s
Training Epoch: 28 [256/48700]	Loss: 0.3750	LR: 0.020000
Training Epoch: 28 [512/48700]	Loss: 0.3129	LR: 0.020000
Training Epoch: 28 [768/48700]	Loss: 0.3152	LR: 0.020000
Training Epoch: 28 [1024/48700]	Loss: 0.2573	LR: 0.020000
Training Epoch: 28 [1280/48700]	Loss: 0.3240	LR: 0.020000
Training Epoch: 28 [1536/48700]	Loss: 0.2448	LR: 0.020000
Training Epoch: 28 [1792/48700]	Loss: 0.4110	LR: 0.020000
Training Epoch: 28 [2048/48700]	Loss: 0.3876	LR: 0.020000
Training Epoch: 28 [2304/48700]	Loss: 0.3263	LR: 0.020000
Training Epoch: 28 [2560/48700]	Loss: 0.2850	LR: 0.020000
Training Epoch: 28 [2816/48700]	Loss: 0.3436	LR: 0.020000
Training Epoch: 28 [3072/48700]	Loss: 0.3113	LR: 0.020000
Training Epoch: 28 [3328/48700]	Loss: 0.3034	LR: 0.020000
Training Epoch: 28 [3584/48700]	Loss: 0.3274	LR: 0.020000
Training Epoch: 28 [3840/48700]	Loss: 0.3144	LR: 0.020000
Training Epoch: 28 [4096/48700]	Loss: 0.2378	LR: 0.020000
Training Epoch: 28 [4352/48700]	Loss: 0.3063	LR: 0.020000
Training Epoch: 28 [4608/48700]	Loss: 0.2583	LR: 0.020000
Training Epoch: 28 [4864/48700]	Loss: 0.3084	LR: 0.020000
Training Epoch: 28 [5120/48700]	Loss: 0.3887	LR: 0.020000
Training Epoch: 28 [5376/48700]	Loss: 0.2248	LR: 0.020000
Training Epoch: 28 [5632/48700]	Loss: 0.3456	LR: 0.020000
Training Epoch: 28 [5888/48700]	Loss: 0.3678	LR: 0.020000
Training Epoch: 28 [6144/48700]	Loss: 0.3659	LR: 0.020000
Training Epoch: 28 [6400/48700]	Loss: 0.3257	LR: 0.020000
Training Epoch: 28 [6656/48700]	Loss: 0.4588	LR: 0.020000
Training Epoch: 28 [6912/48700]	Loss: 0.3698	LR: 0.020000
Training Epoch: 28 [7168/48700]	Loss: 0.3575	LR: 0.020000
Training Epoch: 28 [7424/48700]	Loss: 0.3056	LR: 0.020000
Training Epoch: 28 [7680/48700]	Loss: 0.2761	LR: 0.020000
Training Epoch: 28 [7936/48700]	Loss: 0.3205	LR: 0.020000
Training Epoch: 28 [8192/48700]	Loss: 0.3157	LR: 0.020000
Training Epoch: 28 [8448/48700]	Loss: 0.3527	LR: 0.020000
Training Epoch: 28 [8704/48700]	Loss: 0.3007	LR: 0.020000
Training Epoch: 28 [8960/48700]	Loss: 0.3398	LR: 0.020000
Training Epoch: 28 [9216/48700]	Loss: 0.3860	LR: 0.020000
Training Epoch: 28 [9472/48700]	Loss: 0.3194	LR: 0.020000
Training Epoch: 28 [9728/48700]	Loss: 0.3748	LR: 0.020000
Training Epoch: 28 [9984/48700]	Loss: 0.3161	LR: 0.020000
Training Epoch: 28 [10240/48700]	Loss: 0.3291	LR: 0.020000
Training Epoch: 28 [10496/48700]	Loss: 0.3465	LR: 0.020000
Training Epoch: 28 [10752/48700]	Loss: 0.2585	LR: 0.020000
Training Epoch: 28 [11008/48700]	Loss: 0.3981	LR: 0.020000
Training Epoch: 28 [11264/48700]	Loss: 0.4389	LR: 0.020000
Training Epoch: 28 [11520/48700]	Loss: 0.4001	LR: 0.020000
Training Epoch: 28 [11776/48700]	Loss: 0.3506	LR: 0.020000
Training Epoch: 28 [12032/48700]	Loss: 0.3529	LR: 0.020000
Training Epoch: 28 [12288/48700]	Loss: 0.4311	LR: 0.020000
Training Epoch: 28 [12544/48700]	Loss: 0.3323	LR: 0.020000
Training Epoch: 28 [12800/48700]	Loss: 0.3746	LR: 0.020000
Training Epoch: 28 [13056/48700]	Loss: 0.3752	LR: 0.020000
Training Epoch: 28 [13312/48700]	Loss: 0.3735	LR: 0.020000
Training Epoch: 28 [13568/48700]	Loss: 0.2860	LR: 0.020000
Training Epoch: 28 [13824/48700]	Loss: 0.3668	LR: 0.020000
Training Epoch: 28 [14080/48700]	Loss: 0.3998	LR: 0.020000
Training Epoch: 28 [14336/48700]	Loss: 0.2745	LR: 0.020000
Training Epoch: 28 [14592/48700]	Loss: 0.3369	LR: 0.020000
Training Epoch: 28 [14848/48700]	Loss: 0.3010	LR: 0.020000
Training Epoch: 28 [15104/48700]	Loss: 0.3219	LR: 0.020000
Training Epoch: 28 [15360/48700]	Loss: 0.3900	LR: 0.020000
Training Epoch: 28 [15616/48700]	Loss: 0.3810	LR: 0.020000
Training Epoch: 28 [15872/48700]	Loss: 0.4229	LR: 0.020000
Training Epoch: 28 [16128/48700]	Loss: 0.2121	LR: 0.020000
Training Epoch: 28 [16384/48700]	Loss: 0.2683	LR: 0.020000
Training Epoch: 28 [16640/48700]	Loss: 0.3431	LR: 0.020000
Training Epoch: 28 [16896/48700]	Loss: 0.3667	LR: 0.020000
Training Epoch: 28 [17152/48700]	Loss: 0.2916	LR: 0.020000
Training Epoch: 28 [17408/48700]	Loss: 0.3955	LR: 0.020000
Training Epoch: 28 [17664/48700]	Loss: 0.4337	LR: 0.020000
Training Epoch: 28 [17920/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 28 [18176/48700]	Loss: 0.3698	LR: 0.020000
Training Epoch: 28 [18432/48700]	Loss: 0.4126	LR: 0.020000
Training Epoch: 28 [18688/48700]	Loss: 0.3516	LR: 0.020000
Training Epoch: 28 [18944/48700]	Loss: 0.3745	LR: 0.020000
Training Epoch: 28 [19200/48700]	Loss: 0.3625	LR: 0.020000
Training Epoch: 28 [19456/48700]	Loss: 0.3643	LR: 0.020000
Training Epoch: 28 [19712/48700]	Loss: 0.3946	LR: 0.020000
Training Epoch: 28 [19968/48700]	Loss: 0.2367	LR: 0.020000
Training Epoch: 28 [20224/48700]	Loss: 0.3090	LR: 0.020000
Training Epoch: 28 [20480/48700]	Loss: 0.2763	LR: 0.020000
Training Epoch: 28 [20736/48700]	Loss: 0.4574	LR: 0.020000
Training Epoch: 28 [20992/48700]	Loss: 0.2947	LR: 0.020000
Training Epoch: 28 [21248/48700]	Loss: 0.4317	LR: 0.020000
Training Epoch: 28 [21504/48700]	Loss: 0.3014	LR: 0.020000
Training Epoch: 28 [21760/48700]	Loss: 0.3495	LR: 0.020000
Training Epoch: 28 [22016/48700]	Loss: 0.3642	LR: 0.020000
Training Epoch: 28 [22272/48700]	Loss: 0.3591	LR: 0.020000
Training Epoch: 28 [22528/48700]	Loss: 0.3620	LR: 0.020000
Training Epoch: 28 [22784/48700]	Loss: 0.3761	LR: 0.020000
Training Epoch: 28 [23040/48700]	Loss: 0.3479	LR: 0.020000
Training Epoch: 28 [23296/48700]	Loss: 0.3975	LR: 0.020000
Training Epoch: 28 [23552/48700]	Loss: 0.3014	LR: 0.020000
Training Epoch: 28 [23808/48700]	Loss: 0.2985	LR: 0.020000
Training Epoch: 28 [24064/48700]	Loss: 0.2970	LR: 0.020000
Training Epoch: 28 [24320/48700]	Loss: 0.4282	LR: 0.020000
Training Epoch: 28 [24576/48700]	Loss: 0.3826	LR: 0.020000
Training Epoch: 28 [24832/48700]	Loss: 0.3681	LR: 0.020000
Training Epoch: 28 [25088/48700]	Loss: 0.3744	LR: 0.020000
Training Epoch: 28 [25344/48700]	Loss: 0.3726	LR: 0.020000
Training Epoch: 28 [25600/48700]	Loss: 0.3539	LR: 0.020000
Training Epoch: 28 [25856/48700]	Loss: 0.3479	LR: 0.020000
Training Epoch: 28 [26112/48700]	Loss: 0.3670	LR: 0.020000
Training Epoch: 28 [26368/48700]	Loss: 0.3458	LR: 0.020000
Training Epoch: 28 [26624/48700]	Loss: 0.3882	LR: 0.020000
Training Epoch: 28 [26880/48700]	Loss: 0.2613	LR: 0.020000
Training Epoch: 28 [27136/48700]	Loss: 0.3380	LR: 0.020000
Training Epoch: 28 [27392/48700]	Loss: 0.3627	LR: 0.020000
Training Epoch: 28 [27648/48700]	Loss: 0.3536	LR: 0.020000
Training Epoch: 28 [27904/48700]	Loss: 0.4456	LR: 0.020000
Training Epoch: 28 [28160/48700]	Loss: 0.3711	LR: 0.020000
Training Epoch: 28 [28416/48700]	Loss: 0.2820	LR: 0.020000
Training Epoch: 28 [28672/48700]	Loss: 0.3943	LR: 0.020000
Training Epoch: 28 [28928/48700]	Loss: 0.4295	LR: 0.020000
Training Epoch: 28 [29184/48700]	Loss: 0.3235	LR: 0.020000
Training Epoch: 28 [29440/48700]	Loss: 0.4387	LR: 0.020000
Training Epoch: 28 [29696/48700]	Loss: 0.4154	LR: 0.020000
Training Epoch: 28 [29952/48700]	Loss: 0.4885	LR: 0.020000
Training Epoch: 28 [30208/48700]	Loss: 0.3791	LR: 0.020000
Training Epoch: 28 [30464/48700]	Loss: 0.3586	LR: 0.020000
Training Epoch: 28 [30720/48700]	Loss: 0.3492	LR: 0.020000
Training Epoch: 28 [30976/48700]	Loss: 0.3798	LR: 0.020000
Training Epoch: 28 [31232/48700]	Loss: 0.3726	LR: 0.020000
Training Epoch: 28 [31488/48700]	Loss: 0.3508	LR: 0.020000
Training Epoch: 28 [31744/48700]	Loss: 0.3038	LR: 0.020000
Training Epoch: 28 [32000/48700]	Loss: 0.4169	LR: 0.020000
Training Epoch: 28 [32256/48700]	Loss: 0.3862	LR: 0.020000
Training Epoch: 28 [32512/48700]	Loss: 0.3097	LR: 0.020000
Training Epoch: 28 [32768/48700]	Loss: 0.3938	LR: 0.020000
Training Epoch: 28 [33024/48700]	Loss: 0.3148	LR: 0.020000
Training Epoch: 28 [33280/48700]	Loss: 0.3152	LR: 0.020000
Training Epoch: 28 [33536/48700]	Loss: 0.2807	LR: 0.020000
Training Epoch: 28 [33792/48700]	Loss: 0.3834	LR: 0.020000
Training Epoch: 28 [34048/48700]	Loss: 0.4652	LR: 0.020000
Training Epoch: 28 [34304/48700]	Loss: 0.3447	LR: 0.020000
Training Epoch: 28 [34560/48700]	Loss: 0.4688	LR: 0.020000
Training Epoch: 28 [34816/48700]	Loss: 0.3599	LR: 0.020000
Training Epoch: 28 [35072/48700]	Loss: 0.2589	LR: 0.020000
Training Epoch: 28 [35328/48700]	Loss: 0.4428	LR: 0.020000
Training Epoch: 28 [35584/48700]	Loss: 0.3829	LR: 0.020000
Training Epoch: 28 [35840/48700]	Loss: 0.3721	LR: 0.020000
Training Epoch: 28 [36096/48700]	Loss: 0.4075	LR: 0.020000
Training Epoch: 28 [36352/48700]	Loss: 0.3725	LR: 0.020000
Training Epoch: 28 [36608/48700]	Loss: 0.3709	LR: 0.020000
Training Epoch: 28 [36864/48700]	Loss: 0.3909	LR: 0.020000
Training Epoch: 28 [37120/48700]	Loss: 0.4226	LR: 0.020000
Training Epoch: 28 [37376/48700]	Loss: 0.3213	LR: 0.020000
Training Epoch: 28 [37632/48700]	Loss: 0.2735	LR: 0.020000
Training Epoch: 28 [37888/48700]	Loss: 0.3327	LR: 0.020000
Training Epoch: 28 [38144/48700]	Loss: 0.4247	LR: 0.020000
Training Epoch: 28 [38400/48700]	Loss: 0.4317	LR: 0.020000
Training Epoch: 28 [38656/48700]	Loss: 0.3366	LR: 0.020000
Training Epoch: 28 [38912/48700]	Loss: 0.4260	LR: 0.020000
Training Epoch: 28 [39168/48700]	Loss: 0.3930	LR: 0.020000
Training Epoch: 28 [39424/48700]	Loss: 0.4024	LR: 0.020000
Training Epoch: 28 [39680/48700]	Loss: 0.3244	LR: 0.020000
Training Epoch: 28 [39936/48700]	Loss: 0.4351	LR: 0.020000
Training Epoch: 28 [40192/48700]	Loss: 0.3125	LR: 0.020000
Training Epoch: 28 [40448/48700]	Loss: 0.3810	LR: 0.020000
Training Epoch: 28 [40704/48700]	Loss: 0.3610	LR: 0.020000
Training Epoch: 28 [40960/48700]	Loss: 0.3829	LR: 0.020000
Training Epoch: 28 [41216/48700]	Loss: 0.4132	LR: 0.020000
Training Epoch: 28 [41472/48700]	Loss: 0.3882	LR: 0.020000
Training Epoch: 28 [41728/48700]	Loss: 0.3658	LR: 0.020000
Training Epoch: 28 [41984/48700]	Loss: 0.3487	LR: 0.020000
Training Epoch: 28 [42240/48700]	Loss: 0.3832	LR: 0.020000
Training Epoch: 28 [42496/48700]	Loss: 0.4051	LR: 0.020000
Training Epoch: 28 [42752/48700]	Loss: 0.3537	LR: 0.020000
Training Epoch: 28 [43008/48700]	Loss: 0.4347	LR: 0.020000
Training Epoch: 28 [43264/48700]	Loss: 0.3719	LR: 0.020000
Training Epoch: 28 [43520/48700]	Loss: 0.3879	LR: 0.020000
Training Epoch: 28 [43776/48700]	Loss: 0.3739	LR: 0.020000
Training Epoch: 28 [44032/48700]	Loss: 0.4351	LR: 0.020000
Training Epoch: 28 [44288/48700]	Loss: 0.3538	LR: 0.020000
Training Epoch: 28 [44544/48700]	Loss: 0.3863	LR: 0.020000
Training Epoch: 28 [44800/48700]	Loss: 0.4445	LR: 0.020000
Training Epoch: 28 [45056/48700]	Loss: 0.3939	LR: 0.020000
Training Epoch: 28 [45312/48700]	Loss: 0.3085	LR: 0.020000
Training Epoch: 28 [45568/48700]	Loss: 0.5037	LR: 0.020000
Training Epoch: 28 [45824/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 28 [46080/48700]	Loss: 0.3191	LR: 0.020000
Training Epoch: 28 [46336/48700]	Loss: 0.3609	LR: 0.020000
Training Epoch: 28 [46592/48700]	Loss: 0.3048	LR: 0.020000
Training Epoch: 28 [46848/48700]	Loss: 0.3764	LR: 0.020000
Training Epoch: 28 [47104/48700]	Loss: 0.4071	LR: 0.020000
Training Epoch: 28 [47360/48700]	Loss: 0.3309	LR: 0.020000
Training Epoch: 28 [47616/48700]	Loss: 0.3798	LR: 0.020000
Training Epoch: 28 [47872/48700]	Loss: 0.3247	LR: 0.020000
Training Epoch: 28 [48128/48700]	Loss: 0.3523	LR: 0.020000
Training Epoch: 28 [48384/48700]	Loss: 0.2867	LR: 0.020000
Training Epoch: 28 [48640/48700]	Loss: 0.3948	LR: 0.020000
Training Epoch: 28 [48700/48700]	Loss: 0.4272	LR: 0.020000
Epoch 28 - Average Train Loss: 0.3573, Train Accuracy: 0.8814
Epoch 28 training time consumed: 29.78s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0032, Accuracy: 0.7777, Time consumed:0.98s
Training Epoch: 29 [256/48700]	Loss: 0.3061	LR: 0.020000
Training Epoch: 29 [512/48700]	Loss: 0.2605	LR: 0.020000
Training Epoch: 29 [768/48700]	Loss: 0.3695	LR: 0.020000
Training Epoch: 29 [1024/48700]	Loss: 0.3336	LR: 0.020000
Training Epoch: 29 [1280/48700]	Loss: 0.3284	LR: 0.020000
Training Epoch: 29 [1536/48700]	Loss: 0.4244	LR: 0.020000
Training Epoch: 29 [1792/48700]	Loss: 0.3550	LR: 0.020000
Training Epoch: 29 [2048/48700]	Loss: 0.3693	LR: 0.020000
Training Epoch: 29 [2304/48700]	Loss: 0.2981	LR: 0.020000
Training Epoch: 29 [2560/48700]	Loss: 0.3300	LR: 0.020000
Training Epoch: 29 [2816/48700]	Loss: 0.3667	LR: 0.020000
Training Epoch: 29 [3072/48700]	Loss: 0.2785	LR: 0.020000
Training Epoch: 29 [3328/48700]	Loss: 0.3074	LR: 0.020000
Training Epoch: 29 [3584/48700]	Loss: 0.3632	LR: 0.020000
Training Epoch: 29 [3840/48700]	Loss: 0.3252	LR: 0.020000
Training Epoch: 29 [4096/48700]	Loss: 0.3871	LR: 0.020000
Training Epoch: 29 [4352/48700]	Loss: 0.3172	LR: 0.020000
Training Epoch: 29 [4608/48700]	Loss: 0.3051	LR: 0.020000
Training Epoch: 29 [4864/48700]	Loss: 0.3297	LR: 0.020000
Training Epoch: 29 [5120/48700]	Loss: 0.2589	LR: 0.020000
Training Epoch: 29 [5376/48700]	Loss: 0.3166	LR: 0.020000
Training Epoch: 29 [5632/48700]	Loss: 0.3128	LR: 0.020000
Training Epoch: 29 [5888/48700]	Loss: 0.3186	LR: 0.020000
Training Epoch: 29 [6144/48700]	Loss: 0.3615	LR: 0.020000
Training Epoch: 29 [6400/48700]	Loss: 0.4179	LR: 0.020000
Training Epoch: 29 [6656/48700]	Loss: 0.3523	LR: 0.020000
Training Epoch: 29 [6912/48700]	Loss: 0.3450	LR: 0.020000
Training Epoch: 29 [7168/48700]	Loss: 0.2494	LR: 0.020000
Training Epoch: 29 [7424/48700]	Loss: 0.4265	LR: 0.020000
Training Epoch: 29 [7680/48700]	Loss: 0.3314	LR: 0.020000
Training Epoch: 29 [7936/48700]	Loss: 0.3088	LR: 0.020000
Training Epoch: 29 [8192/48700]	Loss: 0.3555	LR: 0.020000
Training Epoch: 29 [8448/48700]	Loss: 0.3441	LR: 0.020000
Training Epoch: 29 [8704/48700]	Loss: 0.2928	LR: 0.020000
Training Epoch: 29 [8960/48700]	Loss: 0.3504	LR: 0.020000
Training Epoch: 29 [9216/48700]	Loss: 0.2596	LR: 0.020000
Training Epoch: 29 [9472/48700]	Loss: 0.2805	LR: 0.020000
Training Epoch: 29 [9728/48700]	Loss: 0.2783	LR: 0.020000
Training Epoch: 29 [9984/48700]	Loss: 0.3063	LR: 0.020000
Training Epoch: 29 [10240/48700]	Loss: 0.3204	LR: 0.020000
Training Epoch: 29 [10496/48700]	Loss: 0.2861	LR: 0.020000
Training Epoch: 29 [10752/48700]	Loss: 0.3672	LR: 0.020000
Training Epoch: 29 [11008/48700]	Loss: 0.3493	LR: 0.020000
Training Epoch: 29 [11264/48700]	Loss: 0.3000	LR: 0.020000
Training Epoch: 29 [11520/48700]	Loss: 0.3387	LR: 0.020000
Training Epoch: 29 [11776/48700]	Loss: 0.3190	LR: 0.020000
Training Epoch: 29 [12032/48700]	Loss: 0.3059	LR: 0.020000
Training Epoch: 29 [12288/48700]	Loss: 0.2834	LR: 0.020000
Training Epoch: 29 [12544/48700]	Loss: 0.3617	LR: 0.020000
Training Epoch: 29 [12800/48700]	Loss: 0.3623	LR: 0.020000
Training Epoch: 29 [13056/48700]	Loss: 0.3315	LR: 0.020000
Training Epoch: 29 [13312/48700]	Loss: 0.3042	LR: 0.020000
Training Epoch: 29 [13568/48700]	Loss: 0.2928	LR: 0.020000
Training Epoch: 29 [13824/48700]	Loss: 0.2617	LR: 0.020000
Training Epoch: 29 [14080/48700]	Loss: 0.2717	LR: 0.020000
Training Epoch: 29 [14336/48700]	Loss: 0.3095	LR: 0.020000
Training Epoch: 29 [14592/48700]	Loss: 0.3308	LR: 0.020000
Training Epoch: 29 [14848/48700]	Loss: 0.3354	LR: 0.020000
Training Epoch: 29 [15104/48700]	Loss: 0.3053	LR: 0.020000
Training Epoch: 29 [15360/48700]	Loss: 0.3914	LR: 0.020000
Training Epoch: 29 [15616/48700]	Loss: 0.3833	LR: 0.020000
Training Epoch: 29 [15872/48700]	Loss: 0.3357	LR: 0.020000
Training Epoch: 29 [16128/48700]	Loss: 0.2531	LR: 0.020000
Training Epoch: 29 [16384/48700]	Loss: 0.3347	LR: 0.020000
Training Epoch: 29 [16640/48700]	Loss: 0.2939	LR: 0.020000
Training Epoch: 29 [16896/48700]	Loss: 0.3529	LR: 0.020000
Training Epoch: 29 [17152/48700]	Loss: 0.2854	LR: 0.020000
Training Epoch: 29 [17408/48700]	Loss: 0.4433	LR: 0.020000
Training Epoch: 29 [17664/48700]	Loss: 0.3482	LR: 0.020000
Training Epoch: 29 [17920/48700]	Loss: 0.2954	LR: 0.020000
Training Epoch: 29 [18176/48700]	Loss: 0.3353	LR: 0.020000
Training Epoch: 29 [18432/48700]	Loss: 0.2875	LR: 0.020000
Training Epoch: 29 [18688/48700]	Loss: 0.3464	LR: 0.020000
Training Epoch: 29 [18944/48700]	Loss: 0.3776	LR: 0.020000
Training Epoch: 29 [19200/48700]	Loss: 0.3265	LR: 0.020000
Training Epoch: 29 [19456/48700]	Loss: 0.2884	LR: 0.020000
Training Epoch: 29 [19712/48700]	Loss: 0.3467	LR: 0.020000
Training Epoch: 29 [19968/48700]	Loss: 0.4279	LR: 0.020000
Training Epoch: 29 [20224/48700]	Loss: 0.3094	LR: 0.020000
Training Epoch: 29 [20480/48700]	Loss: 0.3912	LR: 0.020000
Training Epoch: 29 [20736/48700]	Loss: 0.3093	LR: 0.020000
Training Epoch: 29 [20992/48700]	Loss: 0.3594	LR: 0.020000
Training Epoch: 29 [21248/48700]	Loss: 0.3056	LR: 0.020000
Training Epoch: 29 [21504/48700]	Loss: 0.3349	LR: 0.020000
Training Epoch: 29 [21760/48700]	Loss: 0.3088	LR: 0.020000
Training Epoch: 29 [22016/48700]	Loss: 0.2731	LR: 0.020000
Training Epoch: 29 [22272/48700]	Loss: 0.2585	LR: 0.020000
Training Epoch: 29 [22528/48700]	Loss: 0.3092	LR: 0.020000
Training Epoch: 29 [22784/48700]	Loss: 0.3619	LR: 0.020000
Training Epoch: 29 [23040/48700]	Loss: 0.2906	LR: 0.020000
Training Epoch: 29 [23296/48700]	Loss: 0.3255	LR: 0.020000
Training Epoch: 29 [23552/48700]	Loss: 0.3167	LR: 0.020000
Training Epoch: 29 [23808/48700]	Loss: 0.2975	LR: 0.020000
Training Epoch: 29 [24064/48700]	Loss: 0.3554	LR: 0.020000
Training Epoch: 29 [24320/48700]	Loss: 0.3450	LR: 0.020000
Training Epoch: 29 [24576/48700]	Loss: 0.2748	LR: 0.020000
Training Epoch: 29 [24832/48700]	Loss: 0.3314	LR: 0.020000
Training Epoch: 29 [25088/48700]	Loss: 0.3628	LR: 0.020000
Training Epoch: 29 [25344/48700]	Loss: 0.4344	LR: 0.020000
Training Epoch: 29 [25600/48700]	Loss: 0.4012	LR: 0.020000
Training Epoch: 29 [25856/48700]	Loss: 0.3838	LR: 0.020000
Training Epoch: 29 [26112/48700]	Loss: 0.3848	LR: 0.020000
Training Epoch: 29 [26368/48700]	Loss: 0.3641	LR: 0.020000
Training Epoch: 29 [26624/48700]	Loss: 0.3905	LR: 0.020000
Training Epoch: 29 [26880/48700]	Loss: 0.2790	LR: 0.020000
Training Epoch: 29 [27136/48700]	Loss: 0.3681	LR: 0.020000
Training Epoch: 29 [27392/48700]	Loss: 0.4065	LR: 0.020000
Training Epoch: 29 [27648/48700]	Loss: 0.3447	LR: 0.020000
Training Epoch: 29 [27904/48700]	Loss: 0.3073	LR: 0.020000
Training Epoch: 29 [28160/48700]	Loss: 0.4118	LR: 0.020000
Training Epoch: 29 [28416/48700]	Loss: 0.3142	LR: 0.020000
Training Epoch: 29 [28672/48700]	Loss: 0.3042	LR: 0.020000
Training Epoch: 29 [28928/48700]	Loss: 0.4142	LR: 0.020000
Training Epoch: 29 [29184/48700]	Loss: 0.3779	LR: 0.020000
Training Epoch: 29 [29440/48700]	Loss: 0.2775	LR: 0.020000
Training Epoch: 29 [29696/48700]	Loss: 0.3598	LR: 0.020000
Training Epoch: 29 [29952/48700]	Loss: 0.2996	LR: 0.020000
Training Epoch: 29 [30208/48700]	Loss: 0.3326	LR: 0.020000
Training Epoch: 29 [30464/48700]	Loss: 0.3811	LR: 0.020000
Training Epoch: 29 [30720/48700]	Loss: 0.3302	LR: 0.020000
Training Epoch: 29 [30976/48700]	Loss: 0.2993	LR: 0.020000
Training Epoch: 29 [31232/48700]	Loss: 0.3245	LR: 0.020000
Training Epoch: 29 [31488/48700]	Loss: 0.3097	LR: 0.020000
Training Epoch: 29 [31744/48700]	Loss: 0.3805	LR: 0.020000
Training Epoch: 29 [32000/48700]	Loss: 0.3105	LR: 0.020000
Training Epoch: 29 [32256/48700]	Loss: 0.3540	LR: 0.020000
Training Epoch: 29 [32512/48700]	Loss: 0.3114	LR: 0.020000
Training Epoch: 29 [32768/48700]	Loss: 0.3099	LR: 0.020000
Training Epoch: 29 [33024/48700]	Loss: 0.3943	LR: 0.020000
Training Epoch: 29 [33280/48700]	Loss: 0.2926	LR: 0.020000
Training Epoch: 29 [33536/48700]	Loss: 0.3456	LR: 0.020000
Training Epoch: 29 [33792/48700]	Loss: 0.3485	LR: 0.020000
Training Epoch: 29 [34048/48700]	Loss: 0.3288	LR: 0.020000
Training Epoch: 29 [34304/48700]	Loss: 0.2941	LR: 0.020000
Training Epoch: 29 [34560/48700]	Loss: 0.4322	LR: 0.020000
Training Epoch: 29 [34816/48700]	Loss: 0.3781	LR: 0.020000
Training Epoch: 29 [35072/48700]	Loss: 0.4339	LR: 0.020000
Training Epoch: 29 [35328/48700]	Loss: 0.3066	LR: 0.020000
Training Epoch: 29 [35584/48700]	Loss: 0.3308	LR: 0.020000
Training Epoch: 29 [35840/48700]	Loss: 0.3846	LR: 0.020000
Training Epoch: 29 [36096/48700]	Loss: 0.2856	LR: 0.020000
Training Epoch: 29 [36352/48700]	Loss: 0.3834	LR: 0.020000
Training Epoch: 29 [36608/48700]	Loss: 0.2956	LR: 0.020000
Training Epoch: 29 [36864/48700]	Loss: 0.3642	LR: 0.020000
Training Epoch: 29 [37120/48700]	Loss: 0.4490	LR: 0.020000
Training Epoch: 29 [37376/48700]	Loss: 0.3603	LR: 0.020000
Training Epoch: 29 [37632/48700]	Loss: 0.2740	LR: 0.020000
Training Epoch: 29 [37888/48700]	Loss: 0.4014	LR: 0.020000
Training Epoch: 29 [38144/48700]	Loss: 0.3324	LR: 0.020000
Training Epoch: 29 [38400/48700]	Loss: 0.3355	LR: 0.020000
Training Epoch: 29 [38656/48700]	Loss: 0.3944	LR: 0.020000
Training Epoch: 29 [38912/48700]	Loss: 0.3298	LR: 0.020000
Training Epoch: 29 [39168/48700]	Loss: 0.4225	LR: 0.020000
Training Epoch: 29 [39424/48700]	Loss: 0.3461	LR: 0.020000
Training Epoch: 29 [39680/48700]	Loss: 0.3472	LR: 0.020000
Training Epoch: 29 [39936/48700]	Loss: 0.3429	LR: 0.020000
Training Epoch: 29 [40192/48700]	Loss: 0.4153	LR: 0.020000
Training Epoch: 29 [40448/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 29 [40704/48700]	Loss: 0.3898	LR: 0.020000
Training Epoch: 29 [40960/48700]	Loss: 0.3553	LR: 0.020000
Training Epoch: 29 [41216/48700]	Loss: 0.3816	LR: 0.020000
Training Epoch: 29 [41472/48700]	Loss: 0.3932	LR: 0.020000
Training Epoch: 29 [41728/48700]	Loss: 0.3605	LR: 0.020000
Training Epoch: 29 [41984/48700]	Loss: 0.2862	LR: 0.020000
Training Epoch: 29 [42240/48700]	Loss: 0.2754	LR: 0.020000
Training Epoch: 29 [42496/48700]	Loss: 0.4143	LR: 0.020000
Training Epoch: 29 [42752/48700]	Loss: 0.3165	LR: 0.020000
Training Epoch: 29 [43008/48700]	Loss: 0.3017	LR: 0.020000
Training Epoch: 29 [43264/48700]	Loss: 0.4330	LR: 0.020000
Training Epoch: 29 [43520/48700]	Loss: 0.3602	LR: 0.020000
Training Epoch: 29 [43776/48700]	Loss: 0.4368	LR: 0.020000
Training Epoch: 29 [44032/48700]	Loss: 0.2923	LR: 0.020000
Training Epoch: 29 [44288/48700]	Loss: 0.3625	LR: 0.020000
Training Epoch: 29 [44544/48700]	Loss: 0.3977	LR: 0.020000
Training Epoch: 29 [44800/48700]	Loss: 0.3584	LR: 0.020000
Training Epoch: 29 [45056/48700]	Loss: 0.3041	LR: 0.020000
Training Epoch: 29 [45312/48700]	Loss: 0.3801	LR: 0.020000
Training Epoch: 29 [45568/48700]	Loss: 0.3423	LR: 0.020000
Training Epoch: 29 [45824/48700]	Loss: 0.3632	LR: 0.020000
Training Epoch: 29 [46080/48700]	Loss: 0.3683	LR: 0.020000
Training Epoch: 29 [46336/48700]	Loss: 0.4027	LR: 0.020000
Training Epoch: 29 [46592/48700]	Loss: 0.4071	LR: 0.020000
Training Epoch: 29 [46848/48700]	Loss: 0.3128	LR: 0.020000
Training Epoch: 29 [47104/48700]	Loss: 0.3809	LR: 0.020000
Training Epoch: 29 [47360/48700]	Loss: 0.3494	LR: 0.020000
Training Epoch: 29 [47616/48700]	Loss: 0.3985	LR: 0.020000
Training Epoch: 29 [47872/48700]	Loss: 0.3640	LR: 0.020000
Training Epoch: 29 [48128/48700]	Loss: 0.3655	LR: 0.020000
Training Epoch: 29 [48384/48700]	Loss: 0.3779	LR: 0.020000
Training Epoch: 29 [48640/48700]	Loss: 0.3486	LR: 0.020000
Training Epoch: 29 [48700/48700]	Loss: 0.5049	LR: 0.020000
Epoch 29 - Average Train Loss: 0.3414, Train Accuracy: 0.8850
Epoch 29 training time consumed: 29.81s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0031, Accuracy: 0.7765, Time consumed:0.95s
Training Epoch: 30 [256/48700]	Loss: 0.3492	LR: 0.004000
Training Epoch: 30 [512/48700]	Loss: 0.3671	LR: 0.004000
Training Epoch: 30 [768/48700]	Loss: 0.2668	LR: 0.004000
Training Epoch: 30 [1024/48700]	Loss: 0.3603	LR: 0.004000
Training Epoch: 30 [1280/48700]	Loss: 0.3326	LR: 0.004000
Training Epoch: 30 [1536/48700]	Loss: 0.3005	LR: 0.004000
Training Epoch: 30 [1792/48700]	Loss: 0.3119	LR: 0.004000
Training Epoch: 30 [2048/48700]	Loss: 0.3360	LR: 0.004000
Training Epoch: 30 [2304/48700]	Loss: 0.3284	LR: 0.004000
Training Epoch: 30 [2560/48700]	Loss: 0.2642	LR: 0.004000
Training Epoch: 30 [2816/48700]	Loss: 0.2417	LR: 0.004000
Training Epoch: 30 [3072/48700]	Loss: 0.2201	LR: 0.004000
Training Epoch: 30 [3328/48700]	Loss: 0.2623	LR: 0.004000
Training Epoch: 30 [3584/48700]	Loss: 0.2739	LR: 0.004000
Training Epoch: 30 [3840/48700]	Loss: 0.3034	LR: 0.004000
Training Epoch: 30 [4096/48700]	Loss: 0.2178	LR: 0.004000
Training Epoch: 30 [4352/48700]	Loss: 0.2372	LR: 0.004000
Training Epoch: 30 [4608/48700]	Loss: 0.3210	LR: 0.004000
Training Epoch: 30 [4864/48700]	Loss: 0.2731	LR: 0.004000
Training Epoch: 30 [5120/48700]	Loss: 0.1899	LR: 0.004000
Training Epoch: 30 [5376/48700]	Loss: 0.2953	LR: 0.004000
Training Epoch: 30 [5632/48700]	Loss: 0.3343	LR: 0.004000
Training Epoch: 30 [5888/48700]	Loss: 0.2687	LR: 0.004000
Training Epoch: 30 [6144/48700]	Loss: 0.2932	LR: 0.004000
Training Epoch: 30 [6400/48700]	Loss: 0.2533	LR: 0.004000
Training Epoch: 30 [6656/48700]	Loss: 0.2321	LR: 0.004000
Training Epoch: 30 [6912/48700]	Loss: 0.2935	LR: 0.004000
Training Epoch: 30 [7168/48700]	Loss: 0.2552	LR: 0.004000
Training Epoch: 30 [7424/48700]	Loss: 0.2806	LR: 0.004000
Training Epoch: 30 [7680/48700]	Loss: 0.2006	LR: 0.004000
Training Epoch: 30 [7936/48700]	Loss: 0.2773	LR: 0.004000
Training Epoch: 30 [8192/48700]	Loss: 0.2531	LR: 0.004000
Training Epoch: 30 [8448/48700]	Loss: 0.2457	LR: 0.004000
Training Epoch: 30 [8704/48700]	Loss: 0.2731	LR: 0.004000
Training Epoch: 30 [8960/48700]	Loss: 0.2720	LR: 0.004000
Training Epoch: 30 [9216/48700]	Loss: 0.3401	LR: 0.004000
Training Epoch: 30 [9472/48700]	Loss: 0.1971	LR: 0.004000
Training Epoch: 30 [9728/48700]	Loss: 0.2571	LR: 0.004000
Training Epoch: 30 [9984/48700]	Loss: 0.2468	LR: 0.004000
Training Epoch: 30 [10240/48700]	Loss: 0.2020	LR: 0.004000
Training Epoch: 30 [10496/48700]	Loss: 0.2409	LR: 0.004000
Training Epoch: 30 [10752/48700]	Loss: 0.2672	LR: 0.004000
Training Epoch: 30 [11008/48700]	Loss: 0.1848	LR: 0.004000
Training Epoch: 30 [11264/48700]	Loss: 0.2380	LR: 0.004000
Training Epoch: 30 [11520/48700]	Loss: 0.2133	LR: 0.004000
Training Epoch: 30 [11776/48700]	Loss: 0.2739	LR: 0.004000
Training Epoch: 30 [12032/48700]	Loss: 0.2230	LR: 0.004000
Training Epoch: 30 [12288/48700]	Loss: 0.1984	LR: 0.004000
Training Epoch: 30 [12544/48700]	Loss: 0.2293	LR: 0.004000
Training Epoch: 30 [12800/48700]	Loss: 0.2692	LR: 0.004000
Training Epoch: 30 [13056/48700]	Loss: 0.2368	LR: 0.004000
Training Epoch: 30 [13312/48700]	Loss: 0.1940	LR: 0.004000
Training Epoch: 30 [13568/48700]	Loss: 0.1758	LR: 0.004000
Training Epoch: 30 [13824/48700]	Loss: 0.2077	LR: 0.004000
Training Epoch: 30 [14080/48700]	Loss: 0.1830	LR: 0.004000
Training Epoch: 30 [14336/48700]	Loss: 0.2017	LR: 0.004000
Training Epoch: 30 [14592/48700]	Loss: 0.1911	LR: 0.004000
Training Epoch: 30 [14848/48700]	Loss: 0.1850	LR: 0.004000
Training Epoch: 30 [15104/48700]	Loss: 0.2161	LR: 0.004000
Training Epoch: 30 [15360/48700]	Loss: 0.1453	LR: 0.004000
Training Epoch: 30 [15616/48700]	Loss: 0.1834	LR: 0.004000
Training Epoch: 30 [15872/48700]	Loss: 0.2229	LR: 0.004000
Training Epoch: 30 [16128/48700]	Loss: 0.1967	LR: 0.004000
Training Epoch: 30 [16384/48700]	Loss: 0.2325	LR: 0.004000
Training Epoch: 30 [16640/48700]	Loss: 0.2400	LR: 0.004000
Training Epoch: 30 [16896/48700]	Loss: 0.2249	LR: 0.004000
Training Epoch: 30 [17152/48700]	Loss: 0.2448	LR: 0.004000
Training Epoch: 30 [17408/48700]	Loss: 0.2046	LR: 0.004000
Training Epoch: 30 [17664/48700]	Loss: 0.1956	LR: 0.004000
Training Epoch: 30 [17920/48700]	Loss: 0.2952	LR: 0.004000
Training Epoch: 30 [18176/48700]	Loss: 0.1886	LR: 0.004000
Training Epoch: 30 [18432/48700]	Loss: 0.2632	LR: 0.004000
Training Epoch: 30 [18688/48700]	Loss: 0.2147	LR: 0.004000
Training Epoch: 30 [18944/48700]	Loss: 0.2515	LR: 0.004000
Training Epoch: 30 [19200/48700]	Loss: 0.1967	LR: 0.004000
Training Epoch: 30 [19456/48700]	Loss: 0.1948	LR: 0.004000
Training Epoch: 30 [19712/48700]	Loss: 0.1805	LR: 0.004000
Training Epoch: 30 [19968/48700]	Loss: 0.2627	LR: 0.004000
Training Epoch: 30 [20224/48700]	Loss: 0.1691	LR: 0.004000
Training Epoch: 30 [20480/48700]	Loss: 0.1661	LR: 0.004000
Training Epoch: 30 [20736/48700]	Loss: 0.2439	LR: 0.004000
Training Epoch: 30 [20992/48700]	Loss: 0.2833	LR: 0.004000
Training Epoch: 30 [21248/48700]	Loss: 0.2674	LR: 0.004000
Training Epoch: 30 [21504/48700]	Loss: 0.2040	LR: 0.004000
Training Epoch: 30 [21760/48700]	Loss: 0.2519	LR: 0.004000
Training Epoch: 30 [22016/48700]	Loss: 0.2564	LR: 0.004000
Training Epoch: 30 [22272/48700]	Loss: 0.2661	LR: 0.004000
Training Epoch: 30 [22528/48700]	Loss: 0.2119	LR: 0.004000
Training Epoch: 30 [22784/48700]	Loss: 0.1950	LR: 0.004000
Training Epoch: 30 [23040/48700]	Loss: 0.2447	LR: 0.004000
Training Epoch: 30 [23296/48700]	Loss: 0.2086	LR: 0.004000
Training Epoch: 30 [23552/48700]	Loss: 0.1929	LR: 0.004000
Training Epoch: 30 [23808/48700]	Loss: 0.1449	LR: 0.004000
Training Epoch: 30 [24064/48700]	Loss: 0.2491	LR: 0.004000
Training Epoch: 30 [24320/48700]	Loss: 0.3192	LR: 0.004000
Training Epoch: 30 [24576/48700]	Loss: 0.1806	LR: 0.004000
Training Epoch: 30 [24832/48700]	Loss: 0.2548	LR: 0.004000
Training Epoch: 30 [25088/48700]	Loss: 0.2326	LR: 0.004000
Training Epoch: 30 [25344/48700]	Loss: 0.1887	LR: 0.004000
Training Epoch: 30 [25600/48700]	Loss: 0.2032	LR: 0.004000
Training Epoch: 30 [25856/48700]	Loss: 0.2016	LR: 0.004000
Training Epoch: 30 [26112/48700]	Loss: 0.2422	LR: 0.004000
Training Epoch: 30 [26368/48700]	Loss: 0.1687	LR: 0.004000
Training Epoch: 30 [26624/48700]	Loss: 0.1952	LR: 0.004000
Training Epoch: 30 [26880/48700]	Loss: 0.1860	LR: 0.004000
Training Epoch: 30 [27136/48700]	Loss: 0.2574	LR: 0.004000
Training Epoch: 30 [27392/48700]	Loss: 0.2012	LR: 0.004000
Training Epoch: 30 [27648/48700]	Loss: 0.2222	LR: 0.004000
Training Epoch: 30 [27904/48700]	Loss: 0.2380	LR: 0.004000
Training Epoch: 30 [28160/48700]	Loss: 0.2135	LR: 0.004000
Training Epoch: 30 [28416/48700]	Loss: 0.1825	LR: 0.004000
Training Epoch: 30 [28672/48700]	Loss: 0.2748	LR: 0.004000
Training Epoch: 30 [28928/48700]	Loss: 0.2106	LR: 0.004000
Training Epoch: 30 [29184/48700]	Loss: 0.2759	LR: 0.004000
Training Epoch: 30 [29440/48700]	Loss: 0.1814	LR: 0.004000
Training Epoch: 30 [29696/48700]	Loss: 0.2717	LR: 0.004000
Training Epoch: 30 [29952/48700]	Loss: 0.1721	LR: 0.004000
Training Epoch: 30 [30208/48700]	Loss: 0.2075	LR: 0.004000
Training Epoch: 30 [30464/48700]	Loss: 0.2597	LR: 0.004000
Training Epoch: 30 [30720/48700]	Loss: 0.2550	LR: 0.004000
Training Epoch: 30 [30976/48700]	Loss: 0.1920	LR: 0.004000
Training Epoch: 30 [31232/48700]	Loss: 0.2044	LR: 0.004000
Training Epoch: 30 [31488/48700]	Loss: 0.2570	LR: 0.004000
Training Epoch: 30 [31744/48700]	Loss: 0.1995	LR: 0.004000
Training Epoch: 30 [32000/48700]	Loss: 0.2327	LR: 0.004000
Training Epoch: 30 [32256/48700]	Loss: 0.2686	LR: 0.004000
Training Epoch: 30 [32512/48700]	Loss: 0.1927	LR: 0.004000
Training Epoch: 30 [32768/48700]	Loss: 0.1958	LR: 0.004000
Training Epoch: 30 [33024/48700]	Loss: 0.1533	LR: 0.004000
Training Epoch: 30 [33280/48700]	Loss: 0.2241	LR: 0.004000
Training Epoch: 30 [33536/48700]	Loss: 0.2337	LR: 0.004000
Training Epoch: 30 [33792/48700]	Loss: 0.1899	LR: 0.004000
Training Epoch: 30 [34048/48700]	Loss: 0.2305	LR: 0.004000
Training Epoch: 30 [34304/48700]	Loss: 0.1718	LR: 0.004000
Training Epoch: 30 [34560/48700]	Loss: 0.1823	LR: 0.004000
Training Epoch: 30 [34816/48700]	Loss: 0.2258	LR: 0.004000
Training Epoch: 30 [35072/48700]	Loss: 0.2655	LR: 0.004000
Training Epoch: 30 [35328/48700]	Loss: 0.2065	LR: 0.004000
Training Epoch: 30 [35584/48700]	Loss: 0.1834	LR: 0.004000
Training Epoch: 30 [35840/48700]	Loss: 0.2138	LR: 0.004000
Training Epoch: 30 [36096/48700]	Loss: 0.2348	LR: 0.004000
Training Epoch: 30 [36352/48700]	Loss: 0.1431	LR: 0.004000
Training Epoch: 30 [36608/48700]	Loss: 0.2253	LR: 0.004000
Training Epoch: 30 [36864/48700]	Loss: 0.1828	LR: 0.004000
Training Epoch: 30 [37120/48700]	Loss: 0.1732	LR: 0.004000
Training Epoch: 30 [37376/48700]	Loss: 0.2321	LR: 0.004000
Training Epoch: 30 [37632/48700]	Loss: 0.2568	LR: 0.004000
Training Epoch: 30 [37888/48700]	Loss: 0.1978	LR: 0.004000
Training Epoch: 30 [38144/48700]	Loss: 0.2761	LR: 0.004000
Training Epoch: 30 [38400/48700]	Loss: 0.1936	LR: 0.004000
Training Epoch: 30 [38656/48700]	Loss: 0.2301	LR: 0.004000
Training Epoch: 30 [38912/48700]	Loss: 0.1927	LR: 0.004000
Training Epoch: 30 [39168/48700]	Loss: 0.1832	LR: 0.004000
Training Epoch: 30 [39424/48700]	Loss: 0.2057	LR: 0.004000
Training Epoch: 30 [39680/48700]	Loss: 0.2250	LR: 0.004000
Training Epoch: 30 [39936/48700]	Loss: 0.1852	LR: 0.004000
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Training Epoch: 30 [44800/48700]	Loss: 0.2695	LR: 0.004000
Training Epoch: 30 [45056/48700]	Loss: 0.2301	LR: 0.004000
Training Epoch: 30 [45312/48700]	Loss: 0.1781	LR: 0.004000
Training Epoch: 30 [45568/48700]	Loss: 0.2380	LR: 0.004000
Training Epoch: 30 [45824/48700]	Loss: 0.2361	LR: 0.004000
Training Epoch: 30 [46080/48700]	Loss: 0.1977	LR: 0.004000
Training Epoch: 30 [46336/48700]	Loss: 0.1661	LR: 0.004000
Training Epoch: 30 [46592/48700]	Loss: 0.1992	LR: 0.004000
Training Epoch: 30 [46848/48700]	Loss: 0.2756	LR: 0.004000
Training Epoch: 30 [47104/48700]	Loss: 0.1828	LR: 0.004000
Training Epoch: 30 [47360/48700]	Loss: 0.2523	LR: 0.004000
Training Epoch: 30 [47616/48700]	Loss: 0.2401	LR: 0.004000
Training Epoch: 30 [47872/48700]	Loss: 0.1985	LR: 0.004000
Training Epoch: 30 [48128/48700]	Loss: 0.2011	LR: 0.004000
Training Epoch: 30 [48384/48700]	Loss: 0.1539	LR: 0.004000
Training Epoch: 30 [48640/48700]	Loss: 0.1821	LR: 0.004000
Training Epoch: 30 [48700/48700]	Loss: 0.4135	LR: 0.004000
Epoch 30 - Average Train Loss: 0.2285, Train Accuracy: 0.9275
Epoch 30 training time consumed: 29.78s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0027, Accuracy: 0.8094, Time consumed:0.94s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-30-best.pth
Training Epoch: 31 [256/48700]	Loss: 0.1247	LR: 0.004000
Training Epoch: 31 [512/48700]	Loss: 0.2185	LR: 0.004000
Training Epoch: 31 [768/48700]	Loss: 0.1372	LR: 0.004000
Training Epoch: 31 [1024/48700]	Loss: 0.1556	LR: 0.004000
Training Epoch: 31 [1280/48700]	Loss: 0.2201	LR: 0.004000
Training Epoch: 31 [1536/48700]	Loss: 0.1858	LR: 0.004000
Training Epoch: 31 [1792/48700]	Loss: 0.1081	LR: 0.004000
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Training Epoch: 31 [45312/48700]	Loss: 0.1502	LR: 0.004000
Training Epoch: 31 [45568/48700]	Loss: 0.2080	LR: 0.004000
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Training Epoch: 31 [46336/48700]	Loss: 0.2171	LR: 0.004000
Training Epoch: 31 [46592/48700]	Loss: 0.2433	LR: 0.004000
Training Epoch: 31 [46848/48700]	Loss: 0.1524	LR: 0.004000
Training Epoch: 31 [47104/48700]	Loss: 0.2384	LR: 0.004000
Training Epoch: 31 [47360/48700]	Loss: 0.1748	LR: 0.004000
Training Epoch: 31 [47616/48700]	Loss: 0.2222	LR: 0.004000
Training Epoch: 31 [47872/48700]	Loss: 0.2090	LR: 0.004000
Training Epoch: 31 [48128/48700]	Loss: 0.2161	LR: 0.004000
Training Epoch: 31 [48384/48700]	Loss: 0.1973	LR: 0.004000
Training Epoch: 31 [48640/48700]	Loss: 0.1471	LR: 0.004000
Training Epoch: 31 [48700/48700]	Loss: 0.1903	LR: 0.004000
Epoch 31 - Average Train Loss: 0.1828, Train Accuracy: 0.9451
Epoch 31 training time consumed: 29.77s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0027, Accuracy: 0.8113, Time consumed:0.90s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-31-best.pth
Training Epoch: 32 [256/48700]	Loss: 0.1604	LR: 0.004000
Training Epoch: 32 [512/48700]	Loss: 0.1366	LR: 0.004000
Training Epoch: 32 [768/48700]	Loss: 0.1924	LR: 0.004000
Training Epoch: 32 [1024/48700]	Loss: 0.1718	LR: 0.004000
Training Epoch: 32 [1280/48700]	Loss: 0.1304	LR: 0.004000
Training Epoch: 32 [1536/48700]	Loss: 0.1300	LR: 0.004000
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Training Epoch: 32 [14080/48700]	Loss: 0.1943	LR: 0.004000
Training Epoch: 32 [14336/48700]	Loss: 0.2106	LR: 0.004000
Training Epoch: 32 [14592/48700]	Loss: 0.1798	LR: 0.004000
Training Epoch: 32 [14848/48700]	Loss: 0.1897	LR: 0.004000
Training Epoch: 32 [15104/48700]	Loss: 0.1612	LR: 0.004000
Training Epoch: 32 [15360/48700]	Loss: 0.1800	LR: 0.004000
Training Epoch: 32 [15616/48700]	Loss: 0.1620	LR: 0.004000
Training Epoch: 32 [15872/48700]	Loss: 0.1708	LR: 0.004000
Training Epoch: 32 [16128/48700]	Loss: 0.1563	LR: 0.004000
Training Epoch: 32 [16384/48700]	Loss: 0.1508	LR: 0.004000
Training Epoch: 32 [16640/48700]	Loss: 0.1691	LR: 0.004000
Training Epoch: 32 [16896/48700]	Loss: 0.1312	LR: 0.004000
Training Epoch: 32 [17152/48700]	Loss: 0.1703	LR: 0.004000
Training Epoch: 32 [17408/48700]	Loss: 0.1779	LR: 0.004000
Training Epoch: 32 [17664/48700]	Loss: 0.1620	LR: 0.004000
Training Epoch: 32 [17920/48700]	Loss: 0.1349	LR: 0.004000
Training Epoch: 32 [18176/48700]	Loss: 0.1338	LR: 0.004000
Training Epoch: 32 [18432/48700]	Loss: 0.1971	LR: 0.004000
Training Epoch: 32 [18688/48700]	Loss: 0.1193	LR: 0.004000
Training Epoch: 32 [18944/48700]	Loss: 0.1317	LR: 0.004000
Training Epoch: 32 [19200/48700]	Loss: 0.1655	LR: 0.004000
Training Epoch: 32 [19456/48700]	Loss: 0.1976	LR: 0.004000
Training Epoch: 32 [19712/48700]	Loss: 0.1524	LR: 0.004000
Training Epoch: 32 [19968/48700]	Loss: 0.1299	LR: 0.004000
Training Epoch: 32 [20224/48700]	Loss: 0.1747	LR: 0.004000
Training Epoch: 32 [20480/48700]	Loss: 0.1960	LR: 0.004000
Training Epoch: 32 [20736/48700]	Loss: 0.1344	LR: 0.004000
Training Epoch: 32 [20992/48700]	Loss: 0.1568	LR: 0.004000
Training Epoch: 32 [21248/48700]	Loss: 0.1567	LR: 0.004000
Training Epoch: 32 [21504/48700]	Loss: 0.1460	LR: 0.004000
Training Epoch: 32 [21760/48700]	Loss: 0.2107	LR: 0.004000
Training Epoch: 32 [22016/48700]	Loss: 0.1434	LR: 0.004000
Training Epoch: 32 [22272/48700]	Loss: 0.1911	LR: 0.004000
Training Epoch: 32 [22528/48700]	Loss: 0.0926	LR: 0.004000
Training Epoch: 32 [22784/48700]	Loss: 0.1625	LR: 0.004000
Training Epoch: 32 [23040/48700]	Loss: 0.1248	LR: 0.004000
Training Epoch: 32 [23296/48700]	Loss: 0.1575	LR: 0.004000
Training Epoch: 32 [23552/48700]	Loss: 0.1874	LR: 0.004000
Training Epoch: 32 [23808/48700]	Loss: 0.2042	LR: 0.004000
Training Epoch: 32 [24064/48700]	Loss: 0.1671	LR: 0.004000
Training Epoch: 32 [24320/48700]	Loss: 0.2064	LR: 0.004000
Training Epoch: 32 [24576/48700]	Loss: 0.2195	LR: 0.004000
Training Epoch: 32 [24832/48700]	Loss: 0.1983	LR: 0.004000
Training Epoch: 32 [25088/48700]	Loss: 0.1359	LR: 0.004000
Training Epoch: 32 [25344/48700]	Loss: 0.1248	LR: 0.004000
Training Epoch: 32 [25600/48700]	Loss: 0.1778	LR: 0.004000
Training Epoch: 32 [25856/48700]	Loss: 0.2444	LR: 0.004000
Training Epoch: 32 [26112/48700]	Loss: 0.1461	LR: 0.004000
Training Epoch: 32 [26368/48700]	Loss: 0.1721	LR: 0.004000
Training Epoch: 32 [26624/48700]	Loss: 0.1516	LR: 0.004000
Training Epoch: 32 [26880/48700]	Loss: 0.2011	LR: 0.004000
Training Epoch: 32 [27136/48700]	Loss: 0.1175	LR: 0.004000
Training Epoch: 32 [27392/48700]	Loss: 0.1259	LR: 0.004000
Training Epoch: 32 [27648/48700]	Loss: 0.1567	LR: 0.004000
Training Epoch: 32 [27904/48700]	Loss: 0.1424	LR: 0.004000
Training Epoch: 32 [28160/48700]	Loss: 0.1300	LR: 0.004000
Training Epoch: 32 [28416/48700]	Loss: 0.1600	LR: 0.004000
Training Epoch: 32 [28672/48700]	Loss: 0.1543	LR: 0.004000
Training Epoch: 32 [28928/48700]	Loss: 0.1625	LR: 0.004000
Training Epoch: 32 [29184/48700]	Loss: 0.1357	LR: 0.004000
Training Epoch: 32 [29440/48700]	Loss: 0.1083	LR: 0.004000
Training Epoch: 32 [29696/48700]	Loss: 0.1426	LR: 0.004000
Training Epoch: 32 [29952/48700]	Loss: 0.1667	LR: 0.004000
Training Epoch: 32 [30208/48700]	Loss: 0.1484	LR: 0.004000
Training Epoch: 32 [30464/48700]	Loss: 0.1317	LR: 0.004000
Training Epoch: 32 [30720/48700]	Loss: 0.1435	LR: 0.004000
Training Epoch: 32 [30976/48700]	Loss: 0.1978	LR: 0.004000
Training Epoch: 32 [31232/48700]	Loss: 0.1843	LR: 0.004000
Training Epoch: 32 [31488/48700]	Loss: 0.1618	LR: 0.004000
Training Epoch: 32 [31744/48700]	Loss: 0.0941	LR: 0.004000
Training Epoch: 32 [32000/48700]	Loss: 0.1871	LR: 0.004000
Training Epoch: 32 [32256/48700]	Loss: 0.1650	LR: 0.004000
Training Epoch: 32 [32512/48700]	Loss: 0.1489	LR: 0.004000
Training Epoch: 32 [32768/48700]	Loss: 0.1509	LR: 0.004000
Training Epoch: 32 [33024/48700]	Loss: 0.1888	LR: 0.004000
Training Epoch: 32 [33280/48700]	Loss: 0.1931	LR: 0.004000
Training Epoch: 32 [33536/48700]	Loss: 0.1470	LR: 0.004000
Training Epoch: 32 [33792/48700]	Loss: 0.2568	LR: 0.004000
Training Epoch: 32 [34048/48700]	Loss: 0.1636	LR: 0.004000
Training Epoch: 32 [34304/48700]	Loss: 0.2542	LR: 0.004000
Training Epoch: 32 [34560/48700]	Loss: 0.2428	LR: 0.004000
Training Epoch: 32 [34816/48700]	Loss: 0.1415	LR: 0.004000
Training Epoch: 32 [35072/48700]	Loss: 0.2185	LR: 0.004000
Training Epoch: 32 [35328/48700]	Loss: 0.1791	LR: 0.004000
Training Epoch: 32 [35584/48700]	Loss: 0.1788	LR: 0.004000
Training Epoch: 32 [35840/48700]	Loss: 0.1996	LR: 0.004000
Training Epoch: 32 [36096/48700]	Loss: 0.1411	LR: 0.004000
Training Epoch: 32 [36352/48700]	Loss: 0.1584	LR: 0.004000
Training Epoch: 32 [36608/48700]	Loss: 0.1803	LR: 0.004000
Training Epoch: 32 [36864/48700]	Loss: 0.1675	LR: 0.004000
Training Epoch: 32 [37120/48700]	Loss: 0.1670	LR: 0.004000
Training Epoch: 32 [37376/48700]	Loss: 0.1473	LR: 0.004000
Training Epoch: 32 [37632/48700]	Loss: 0.1765	LR: 0.004000
Training Epoch: 32 [37888/48700]	Loss: 0.1325	LR: 0.004000
Training Epoch: 32 [38144/48700]	Loss: 0.1592	LR: 0.004000
Training Epoch: 32 [38400/48700]	Loss: 0.1759	LR: 0.004000
Training Epoch: 32 [38656/48700]	Loss: 0.2002	LR: 0.004000
Training Epoch: 32 [38912/48700]	Loss: 0.1600	LR: 0.004000
Training Epoch: 32 [39168/48700]	Loss: 0.1544	LR: 0.004000
Training Epoch: 32 [39424/48700]	Loss: 0.1431	LR: 0.004000
Training Epoch: 32 [39680/48700]	Loss: 0.1274	LR: 0.004000
Training Epoch: 32 [39936/48700]	Loss: 0.1596	LR: 0.004000
Training Epoch: 32 [40192/48700]	Loss: 0.1731	LR: 0.004000
Training Epoch: 32 [40448/48700]	Loss: 0.1294	LR: 0.004000
Training Epoch: 32 [40704/48700]	Loss: 0.2124	LR: 0.004000
Training Epoch: 32 [40960/48700]	Loss: 0.1678	LR: 0.004000
Training Epoch: 32 [41216/48700]	Loss: 0.1492	LR: 0.004000
Training Epoch: 32 [41472/48700]	Loss: 0.2406	LR: 0.004000
Training Epoch: 32 [41728/48700]	Loss: 0.1687	LR: 0.004000
Training Epoch: 32 [41984/48700]	Loss: 0.1943	LR: 0.004000
Training Epoch: 32 [42240/48700]	Loss: 0.1243	LR: 0.004000
Training Epoch: 32 [42496/48700]	Loss: 0.1941	LR: 0.004000
Training Epoch: 32 [42752/48700]	Loss: 0.1716	LR: 0.004000
Training Epoch: 32 [43008/48700]	Loss: 0.2025	LR: 0.004000
Training Epoch: 32 [43264/48700]	Loss: 0.1844	LR: 0.004000
Training Epoch: 32 [43520/48700]	Loss: 0.1402	LR: 0.004000
Training Epoch: 32 [43776/48700]	Loss: 0.1786	LR: 0.004000
Training Epoch: 32 [44032/48700]	Loss: 0.1644	LR: 0.004000
Training Epoch: 32 [44288/48700]	Loss: 0.1757	LR: 0.004000
Training Epoch: 32 [44544/48700]	Loss: 0.1230	LR: 0.004000
Training Epoch: 32 [44800/48700]	Loss: 0.1560	LR: 0.004000
Training Epoch: 32 [45056/48700]	Loss: 0.1598	LR: 0.004000
Training Epoch: 32 [45312/48700]	Loss: 0.1928	LR: 0.004000
Training Epoch: 32 [45568/48700]	Loss: 0.1561	LR: 0.004000
Training Epoch: 32 [45824/48700]	Loss: 0.1732	LR: 0.004000
Training Epoch: 32 [46080/48700]	Loss: 0.2125	LR: 0.004000
Training Epoch: 32 [46336/48700]	Loss: 0.2100	LR: 0.004000
Training Epoch: 32 [46592/48700]	Loss: 0.2272	LR: 0.004000
Training Epoch: 32 [46848/48700]	Loss: 0.1483	LR: 0.004000
Training Epoch: 32 [47104/48700]	Loss: 0.2103	LR: 0.004000
Training Epoch: 32 [47360/48700]	Loss: 0.1472	LR: 0.004000
Training Epoch: 32 [47616/48700]	Loss: 0.1544	LR: 0.004000
Training Epoch: 32 [47872/48700]	Loss: 0.1837	LR: 0.004000
Training Epoch: 32 [48128/48700]	Loss: 0.1621	LR: 0.004000
Training Epoch: 32 [48384/48700]	Loss: 0.1605	LR: 0.004000
Training Epoch: 32 [48640/48700]	Loss: 0.1275	LR: 0.004000
Training Epoch: 32 [48700/48700]	Loss: 0.2423	LR: 0.004000
Epoch 32 - Average Train Loss: 0.1651, Train Accuracy: 0.9497
Epoch 32 training time consumed: 29.80s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0027, Accuracy: 0.8097, Time consumed:0.92s
Training Epoch: 33 [256/48700]	Loss: 0.1564	LR: 0.004000
Training Epoch: 33 [512/48700]	Loss: 0.1324	LR: 0.004000
Training Epoch: 33 [768/48700]	Loss: 0.1277	LR: 0.004000
Training Epoch: 33 [1024/48700]	Loss: 0.2144	LR: 0.004000
Training Epoch: 33 [1280/48700]	Loss: 0.1631	LR: 0.004000
Training Epoch: 33 [1536/48700]	Loss: 0.1319	LR: 0.004000
Training Epoch: 33 [1792/48700]	Loss: 0.1176	LR: 0.004000
Training Epoch: 33 [2048/48700]	Loss: 0.1668	LR: 0.004000
Training Epoch: 33 [2304/48700]	Loss: 0.1556	LR: 0.004000
Training Epoch: 33 [2560/48700]	Loss: 0.1535	LR: 0.004000
Training Epoch: 33 [2816/48700]	Loss: 0.1187	LR: 0.004000
Training Epoch: 33 [3072/48700]	Loss: 0.1583	LR: 0.004000
Training Epoch: 33 [3328/48700]	Loss: 0.1556	LR: 0.004000
Training Epoch: 33 [3584/48700]	Loss: 0.1639	LR: 0.004000
Training Epoch: 33 [3840/48700]	Loss: 0.1240	LR: 0.004000
Training Epoch: 33 [4096/48700]	Loss: 0.1091	LR: 0.004000
Training Epoch: 33 [4352/48700]	Loss: 0.1666	LR: 0.004000
Training Epoch: 33 [4608/48700]	Loss: 0.1390	LR: 0.004000
Training Epoch: 33 [4864/48700]	Loss: 0.1577	LR: 0.004000
Training Epoch: 33 [5120/48700]	Loss: 0.1487	LR: 0.004000
Training Epoch: 33 [5376/48700]	Loss: 0.1101	LR: 0.004000
Training Epoch: 33 [5632/48700]	Loss: 0.1358	LR: 0.004000
Training Epoch: 33 [5888/48700]	Loss: 0.1507	LR: 0.004000
Training Epoch: 33 [6144/48700]	Loss: 0.1647	LR: 0.004000
Training Epoch: 33 [6400/48700]	Loss: 0.1612	LR: 0.004000
Training Epoch: 33 [6656/48700]	Loss: 0.1376	LR: 0.004000
Training Epoch: 33 [6912/48700]	Loss: 0.1393	LR: 0.004000
Training Epoch: 33 [7168/48700]	Loss: 0.2366	LR: 0.004000
Training Epoch: 33 [7424/48700]	Loss: 0.1750	LR: 0.004000
Training Epoch: 33 [7680/48700]	Loss: 0.1363	LR: 0.004000
Training Epoch: 33 [7936/48700]	Loss: 0.1308	LR: 0.004000
Training Epoch: 33 [8192/48700]	Loss: 0.1650	LR: 0.004000
Training Epoch: 33 [8448/48700]	Loss: 0.1211	LR: 0.004000
Training Epoch: 33 [8704/48700]	Loss: 0.1390	LR: 0.004000
Training Epoch: 33 [8960/48700]	Loss: 0.1494	LR: 0.004000
Training Epoch: 33 [9216/48700]	Loss: 0.1532	LR: 0.004000
Training Epoch: 33 [9472/48700]	Loss: 0.1602	LR: 0.004000
Training Epoch: 33 [9728/48700]	Loss: 0.1525	LR: 0.004000
Training Epoch: 33 [9984/48700]	Loss: 0.1298	LR: 0.004000
Training Epoch: 33 [10240/48700]	Loss: 0.1627	LR: 0.004000
Training Epoch: 33 [10496/48700]	Loss: 0.1170	LR: 0.004000
Training Epoch: 33 [10752/48700]	Loss: 0.1696	LR: 0.004000
Training Epoch: 33 [11008/48700]	Loss: 0.1791	LR: 0.004000
Training Epoch: 33 [11264/48700]	Loss: 0.1565	LR: 0.004000
Training Epoch: 33 [11520/48700]	Loss: 0.1760	LR: 0.004000
Training Epoch: 33 [11776/48700]	Loss: 0.1781	LR: 0.004000
Training Epoch: 33 [12032/48700]	Loss: 0.1385	LR: 0.004000
Training Epoch: 33 [12288/48700]	Loss: 0.1866	LR: 0.004000
Training Epoch: 33 [12544/48700]	Loss: 0.1474	LR: 0.004000
Training Epoch: 33 [12800/48700]	Loss: 0.1667	LR: 0.004000
Training Epoch: 33 [13056/48700]	Loss: 0.2002	LR: 0.004000
Training Epoch: 33 [13312/48700]	Loss: 0.0942	LR: 0.004000
Training Epoch: 33 [13568/48700]	Loss: 0.1331	LR: 0.004000
Training Epoch: 33 [13824/48700]	Loss: 0.1839	LR: 0.004000
Training Epoch: 33 [14080/48700]	Loss: 0.1378	LR: 0.004000
Training Epoch: 33 [14336/48700]	Loss: 0.1932	LR: 0.004000
Training Epoch: 33 [14592/48700]	Loss: 0.1361	LR: 0.004000
Training Epoch: 33 [14848/48700]	Loss: 0.1082	LR: 0.004000
Training Epoch: 33 [15104/48700]	Loss: 0.1776	LR: 0.004000
Training Epoch: 33 [15360/48700]	Loss: 0.1545	LR: 0.004000
Training Epoch: 33 [15616/48700]	Loss: 0.1838	LR: 0.004000
Training Epoch: 33 [15872/48700]	Loss: 0.1402	LR: 0.004000
Training Epoch: 33 [16128/48700]	Loss: 0.1785	LR: 0.004000
Training Epoch: 33 [16384/48700]	Loss: 0.1153	LR: 0.004000
Training Epoch: 33 [16640/48700]	Loss: 0.1442	LR: 0.004000
Training Epoch: 33 [16896/48700]	Loss: 0.1686	LR: 0.004000
Training Epoch: 33 [17152/48700]	Loss: 0.1372	LR: 0.004000
Training Epoch: 33 [17408/48700]	Loss: 0.1224	LR: 0.004000
Training Epoch: 33 [17664/48700]	Loss: 0.0938	LR: 0.004000
Training Epoch: 33 [17920/48700]	Loss: 0.1137	LR: 0.004000
Training Epoch: 33 [18176/48700]	Loss: 0.2076	LR: 0.004000
Training Epoch: 33 [18432/48700]	Loss: 0.1642	LR: 0.004000
Training Epoch: 33 [18688/48700]	Loss: 0.1596	LR: 0.004000
Training Epoch: 33 [18944/48700]	Loss: 0.1621	LR: 0.004000
Training Epoch: 33 [19200/48700]	Loss: 0.1437	LR: 0.004000
Training Epoch: 33 [19456/48700]	Loss: 0.1493	LR: 0.004000
Training Epoch: 33 [19712/48700]	Loss: 0.1317	LR: 0.004000
Training Epoch: 33 [19968/48700]	Loss: 0.1136	LR: 0.004000
Training Epoch: 33 [20224/48700]	Loss: 0.1055	LR: 0.004000
Training Epoch: 33 [20480/48700]	Loss: 0.1236	LR: 0.004000
Training Epoch: 33 [20736/48700]	Loss: 0.1282	LR: 0.004000
Training Epoch: 33 [20992/48700]	Loss: 0.1849	LR: 0.004000
Training Epoch: 33 [21248/48700]	Loss: 0.1123	LR: 0.004000
Training Epoch: 33 [21504/48700]	Loss: 0.1598	LR: 0.004000
Training Epoch: 33 [21760/48700]	Loss: 0.2408	LR: 0.004000
Training Epoch: 33 [22016/48700]	Loss: 0.1299	LR: 0.004000
Training Epoch: 33 [22272/48700]	Loss: 0.1851	LR: 0.004000
Training Epoch: 33 [22528/48700]	Loss: 0.1880	LR: 0.004000
Training Epoch: 33 [22784/48700]	Loss: 0.1495	LR: 0.004000
Training Epoch: 33 [23040/48700]	Loss: 0.1419	LR: 0.004000
Training Epoch: 33 [23296/48700]	Loss: 0.1485	LR: 0.004000
Training Epoch: 33 [23552/48700]	Loss: 0.1434	LR: 0.004000
Training Epoch: 33 [23808/48700]	Loss: 0.1896	LR: 0.004000
Training Epoch: 33 [24064/48700]	Loss: 0.1418	LR: 0.004000
Training Epoch: 33 [24320/48700]	Loss: 0.1273	LR: 0.004000
Training Epoch: 33 [24576/48700]	Loss: 0.1615	LR: 0.004000
Training Epoch: 33 [24832/48700]	Loss: 0.1249	LR: 0.004000
Training Epoch: 33 [25088/48700]	Loss: 0.2399	LR: 0.004000
Training Epoch: 33 [25344/48700]	Loss: 0.2296	LR: 0.004000
Training Epoch: 33 [25600/48700]	Loss: 0.1367	LR: 0.004000
Training Epoch: 33 [25856/48700]	Loss: 0.1545	LR: 0.004000
Training Epoch: 33 [26112/48700]	Loss: 0.1313	LR: 0.004000
Training Epoch: 33 [26368/48700]	Loss: 0.1206	LR: 0.004000
Training Epoch: 33 [26624/48700]	Loss: 0.1302	LR: 0.004000
Training Epoch: 33 [26880/48700]	Loss: 0.1389	LR: 0.004000
Training Epoch: 33 [27136/48700]	Loss: 0.1454	LR: 0.004000
Training Epoch: 33 [27392/48700]	Loss: 0.1386	LR: 0.004000
Training Epoch: 33 [27648/48700]	Loss: 0.1264	LR: 0.004000
Training Epoch: 33 [27904/48700]	Loss: 0.1607	LR: 0.004000
Training Epoch: 33 [28160/48700]	Loss: 0.1275	LR: 0.004000
Training Epoch: 33 [28416/48700]	Loss: 0.1216	LR: 0.004000
Training Epoch: 33 [28672/48700]	Loss: 0.1511	LR: 0.004000
Training Epoch: 33 [28928/48700]	Loss: 0.1410	LR: 0.004000
Training Epoch: 33 [29184/48700]	Loss: 0.1492	LR: 0.004000
Training Epoch: 33 [29440/48700]	Loss: 0.1682	LR: 0.004000
Training Epoch: 33 [29696/48700]	Loss: 0.1778	LR: 0.004000
Training Epoch: 33 [29952/48700]	Loss: 0.1295	LR: 0.004000
Training Epoch: 33 [30208/48700]	Loss: 0.1423	LR: 0.004000
Training Epoch: 33 [30464/48700]	Loss: 0.2181	LR: 0.004000
Training Epoch: 33 [30720/48700]	Loss: 0.1793	LR: 0.004000
Training Epoch: 33 [30976/48700]	Loss: 0.1874	LR: 0.004000
Training Epoch: 33 [31232/48700]	Loss: 0.1499	LR: 0.004000
Training Epoch: 33 [31488/48700]	Loss: 0.1623	LR: 0.004000
Training Epoch: 33 [31744/48700]	Loss: 0.1685	LR: 0.004000
Training Epoch: 33 [32000/48700]	Loss: 0.1999	LR: 0.004000
Training Epoch: 33 [32256/48700]	Loss: 0.1467	LR: 0.004000
Training Epoch: 33 [32512/48700]	Loss: 0.0880	LR: 0.004000
Training Epoch: 33 [32768/48700]	Loss: 0.1409	LR: 0.004000
Training Epoch: 33 [33024/48700]	Loss: 0.1576	LR: 0.004000
Training Epoch: 33 [33280/48700]	Loss: 0.1466	LR: 0.004000
Training Epoch: 33 [33536/48700]	Loss: 0.1112	LR: 0.004000
Training Epoch: 33 [33792/48700]	Loss: 0.1923	LR: 0.004000
Training Epoch: 33 [34048/48700]	Loss: 0.1839	LR: 0.004000
Training Epoch: 33 [34304/48700]	Loss: 0.1316	LR: 0.004000
Training Epoch: 33 [34560/48700]	Loss: 0.1646	LR: 0.004000
Training Epoch: 33 [34816/48700]	Loss: 0.1737	LR: 0.004000
Training Epoch: 33 [35072/48700]	Loss: 0.1915	LR: 0.004000
Training Epoch: 33 [35328/48700]	Loss: 0.1543	LR: 0.004000
Training Epoch: 33 [35584/48700]	Loss: 0.1306	LR: 0.004000
Training Epoch: 33 [35840/48700]	Loss: 0.1774	LR: 0.004000
Training Epoch: 33 [36096/48700]	Loss: 0.1185	LR: 0.004000
Training Epoch: 33 [36352/48700]	Loss: 0.1146	LR: 0.004000
Training Epoch: 33 [36608/48700]	Loss: 0.1402	LR: 0.004000
Training Epoch: 33 [36864/48700]	Loss: 0.1489	LR: 0.004000
Training Epoch: 33 [37120/48700]	Loss: 0.1583	LR: 0.004000
Training Epoch: 33 [37376/48700]	Loss: 0.1759	LR: 0.004000
Training Epoch: 33 [37632/48700]	Loss: 0.1043	LR: 0.004000
Training Epoch: 33 [37888/48700]	Loss: 0.1107	LR: 0.004000
Training Epoch: 33 [38144/48700]	Loss: 0.1604	LR: 0.004000
Training Epoch: 33 [38400/48700]	Loss: 0.1637	LR: 0.004000
Training Epoch: 33 [38656/48700]	Loss: 0.1543	LR: 0.004000
Training Epoch: 33 [38912/48700]	Loss: 0.1027	LR: 0.004000
Training Epoch: 33 [39168/48700]	Loss: 0.1469	LR: 0.004000
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Training Epoch: 33 [39680/48700]	Loss: 0.1587	LR: 0.004000
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Training Epoch: 33 [40448/48700]	Loss: 0.1198	LR: 0.004000
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Training Epoch: 33 [40960/48700]	Loss: 0.1302	LR: 0.004000
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Training Epoch: 33 [41472/48700]	Loss: 0.1593	LR: 0.004000
Training Epoch: 33 [41728/48700]	Loss: 0.1043	LR: 0.004000
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Training Epoch: 33 [43264/48700]	Loss: 0.2001	LR: 0.004000
Training Epoch: 33 [43520/48700]	Loss: 0.1607	LR: 0.004000
Training Epoch: 33 [43776/48700]	Loss: 0.1704	LR: 0.004000
Training Epoch: 33 [44032/48700]	Loss: 0.1266	LR: 0.004000
Training Epoch: 33 [44288/48700]	Loss: 0.1432	LR: 0.004000
Training Epoch: 33 [44544/48700]	Loss: 0.1436	LR: 0.004000
Training Epoch: 33 [44800/48700]	Loss: 0.2045	LR: 0.004000
Training Epoch: 33 [45056/48700]	Loss: 0.2183	LR: 0.004000
Training Epoch: 33 [45312/48700]	Loss: 0.1807	LR: 0.004000
Training Epoch: 33 [45568/48700]	Loss: 0.1670	LR: 0.004000
Training Epoch: 33 [45824/48700]	Loss: 0.1600	LR: 0.004000
Training Epoch: 33 [46080/48700]	Loss: 0.1558	LR: 0.004000
Training Epoch: 33 [46336/48700]	Loss: 0.1348	LR: 0.004000
Training Epoch: 33 [46592/48700]	Loss: 0.1416	LR: 0.004000
Training Epoch: 33 [46848/48700]	Loss: 0.1325	LR: 0.004000
Training Epoch: 33 [47104/48700]	Loss: 0.1303	LR: 0.004000
Training Epoch: 33 [47360/48700]	Loss: 0.1578	LR: 0.004000
Training Epoch: 33 [47616/48700]	Loss: 0.1700	LR: 0.004000
Training Epoch: 33 [47872/48700]	Loss: 0.1398	LR: 0.004000
Training Epoch: 33 [48128/48700]	Loss: 0.1397	LR: 0.004000
Training Epoch: 33 [48384/48700]	Loss: 0.1212	LR: 0.004000
Training Epoch: 33 [48640/48700]	Loss: 0.1754	LR: 0.004000
Training Epoch: 33 [48700/48700]	Loss: 0.2103	LR: 0.004000
Epoch 33 - Average Train Loss: 0.1524, Train Accuracy: 0.9535
Epoch 33 training time consumed: 30.04s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0028, Accuracy: 0.8113, Time consumed:0.97s
Training Epoch: 34 [256/48700]	Loss: 0.1265	LR: 0.004000
Training Epoch: 34 [512/48700]	Loss: 0.0998	LR: 0.004000
Training Epoch: 34 [768/48700]	Loss: 0.1256	LR: 0.004000
Training Epoch: 34 [1024/48700]	Loss: 0.1183	LR: 0.004000
Training Epoch: 34 [1280/48700]	Loss: 0.1791	LR: 0.004000
Training Epoch: 34 [1536/48700]	Loss: 0.1542	LR: 0.004000
Training Epoch: 34 [1792/48700]	Loss: 0.1468	LR: 0.004000
Training Epoch: 34 [2048/48700]	Loss: 0.1210	LR: 0.004000
Training Epoch: 34 [2304/48700]	Loss: 0.1430	LR: 0.004000
Training Epoch: 34 [2560/48700]	Loss: 0.1512	LR: 0.004000
Training Epoch: 34 [2816/48700]	Loss: 0.1524	LR: 0.004000
Training Epoch: 34 [3072/48700]	Loss: 0.1200	LR: 0.004000
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Training Epoch: 34 [3840/48700]	Loss: 0.1169	LR: 0.004000
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Training Epoch: 34 [5120/48700]	Loss: 0.1361	LR: 0.004000
Training Epoch: 34 [5376/48700]	Loss: 0.1615	LR: 0.004000
Training Epoch: 34 [5632/48700]	Loss: 0.1218	LR: 0.004000
Training Epoch: 34 [5888/48700]	Loss: 0.1093	LR: 0.004000
Training Epoch: 34 [6144/48700]	Loss: 0.1440	LR: 0.004000
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Training Epoch: 34 [7168/48700]	Loss: 0.1569	LR: 0.004000
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Training Epoch: 34 [8448/48700]	Loss: 0.1418	LR: 0.004000
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Training Epoch: 34 [9728/48700]	Loss: 0.1591	LR: 0.004000
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Training Epoch: 34 [11776/48700]	Loss: 0.1938	LR: 0.004000
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Training Epoch: 34 [26880/48700]	Loss: 0.1343	LR: 0.004000
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Training Epoch: 34 [46080/48700]	Loss: 0.1809	LR: 0.004000
Training Epoch: 34 [46336/48700]	Loss: 0.1353	LR: 0.004000
Training Epoch: 34 [46592/48700]	Loss: 0.1253	LR: 0.004000
Training Epoch: 34 [46848/48700]	Loss: 0.1473	LR: 0.004000
Training Epoch: 34 [47104/48700]	Loss: 0.1472	LR: 0.004000
Training Epoch: 34 [47360/48700]	Loss: 0.1370	LR: 0.004000
Training Epoch: 34 [47616/48700]	Loss: 0.1715	LR: 0.004000
Training Epoch: 34 [47872/48700]	Loss: 0.1322	LR: 0.004000
Training Epoch: 34 [48128/48700]	Loss: 0.1240	LR: 0.004000
Training Epoch: 34 [48384/48700]	Loss: 0.1262	LR: 0.004000
Training Epoch: 34 [48640/48700]	Loss: 0.1433	LR: 0.004000
Training Epoch: 34 [48700/48700]	Loss: 0.0848	LR: 0.004000
Epoch 34 - Average Train Loss: 0.1424, Train Accuracy: 0.9574
Epoch 34 training time consumed: 29.80s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0028, Accuracy: 0.8120, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-34-best.pth
Training Epoch: 35 [256/48700]	Loss: 0.0859	LR: 0.000800
Training Epoch: 35 [512/48700]	Loss: 0.1307	LR: 0.000800
Training Epoch: 35 [768/48700]	Loss: 0.1397	LR: 0.000800
Training Epoch: 35 [1024/48700]	Loss: 0.1366	LR: 0.000800
Training Epoch: 35 [1280/48700]	Loss: 0.1410	LR: 0.000800
Training Epoch: 35 [1536/48700]	Loss: 0.1133	LR: 0.000800
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Training Epoch: 35 [2048/48700]	Loss: 0.1302	LR: 0.000800
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Training Epoch: 35 [13824/48700]	Loss: 0.1353	LR: 0.000800
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Training Epoch: 35 [45568/48700]	Loss: 0.1144	LR: 0.000800
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Training Epoch: 35 [46080/48700]	Loss: 0.1131	LR: 0.000800
Training Epoch: 35 [46336/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 35 [46592/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 35 [46848/48700]	Loss: 0.0835	LR: 0.000800
Training Epoch: 35 [47104/48700]	Loss: 0.1252	LR: 0.000800
Training Epoch: 35 [47360/48700]	Loss: 0.1019	LR: 0.000800
Training Epoch: 35 [47616/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 35 [47872/48700]	Loss: 0.1593	LR: 0.000800
Training Epoch: 35 [48128/48700]	Loss: 0.1428	LR: 0.000800
Training Epoch: 35 [48384/48700]	Loss: 0.1174	LR: 0.000800
Training Epoch: 35 [48640/48700]	Loss: 0.1457	LR: 0.000800
Training Epoch: 35 [48700/48700]	Loss: 0.0843	LR: 0.000800
Epoch 35 - Average Train Loss: 0.1230, Train Accuracy: 0.9649
Epoch 35 training time consumed: 30.02s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0027, Accuracy: 0.8174, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-35-best.pth
Training Epoch: 36 [256/48700]	Loss: 0.1280	LR: 0.000800
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Training Epoch: 36 [1280/48700]	Loss: 0.1535	LR: 0.000800
Training Epoch: 36 [1536/48700]	Loss: 0.1228	LR: 0.000800
Training Epoch: 36 [1792/48700]	Loss: 0.1305	LR: 0.000800
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Training Epoch: 36 [3840/48700]	Loss: 0.1197	LR: 0.000800
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Training Epoch: 36 [11008/48700]	Loss: 0.1128	LR: 0.000800
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Training Epoch: 36 [16128/48700]	Loss: 0.1007	LR: 0.000800
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Training Epoch: 36 [36352/48700]	Loss: 0.1302	LR: 0.000800
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Training Epoch: 36 [37632/48700]	Loss: 0.1199	LR: 0.000800
Training Epoch: 36 [37888/48700]	Loss: 0.1120	LR: 0.000800
Training Epoch: 36 [38144/48700]	Loss: 0.1083	LR: 0.000800
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Training Epoch: 36 [41728/48700]	Loss: 0.0905	LR: 0.000800
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Training Epoch: 36 [43264/48700]	Loss: 0.0998	LR: 0.000800
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Training Epoch: 36 [43776/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 36 [44032/48700]	Loss: 0.1526	LR: 0.000800
Training Epoch: 36 [44288/48700]	Loss: 0.1264	LR: 0.000800
Training Epoch: 36 [44544/48700]	Loss: 0.1232	LR: 0.000800
Training Epoch: 36 [44800/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 36 [45056/48700]	Loss: 0.1467	LR: 0.000800
Training Epoch: 36 [45312/48700]	Loss: 0.0724	LR: 0.000800
Training Epoch: 36 [45568/48700]	Loss: 0.1262	LR: 0.000800
Training Epoch: 36 [45824/48700]	Loss: 0.1193	LR: 0.000800
Training Epoch: 36 [46080/48700]	Loss: 0.1336	LR: 0.000800
Training Epoch: 36 [46336/48700]	Loss: 0.1319	LR: 0.000800
Training Epoch: 36 [46592/48700]	Loss: 0.0996	LR: 0.000800
Training Epoch: 36 [46848/48700]	Loss: 0.1396	LR: 0.000800
Training Epoch: 36 [47104/48700]	Loss: 0.1031	LR: 0.000800
Training Epoch: 36 [47360/48700]	Loss: 0.1204	LR: 0.000800
Training Epoch: 36 [47616/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 36 [47872/48700]	Loss: 0.1343	LR: 0.000800
Training Epoch: 36 [48128/48700]	Loss: 0.1475	LR: 0.000800
Training Epoch: 36 [48384/48700]	Loss: 0.0922	LR: 0.000800
Training Epoch: 36 [48640/48700]	Loss: 0.1320	LR: 0.000800
Training Epoch: 36 [48700/48700]	Loss: 0.0873	LR: 0.000800
Epoch 36 - Average Train Loss: 0.1179, Train Accuracy: 0.9659
Epoch 36 training time consumed: 30.41s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0027, Accuracy: 0.8180, Time consumed:0.91s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-36-best.pth
Training Epoch: 37 [256/48700]	Loss: 0.1079	LR: 0.000800
Training Epoch: 37 [512/48700]	Loss: 0.1257	LR: 0.000800
Training Epoch: 37 [768/48700]	Loss: 0.1270	LR: 0.000800
Training Epoch: 37 [1024/48700]	Loss: 0.0879	LR: 0.000800
Training Epoch: 37 [1280/48700]	Loss: 0.0766	LR: 0.000800
Training Epoch: 37 [1536/48700]	Loss: 0.1125	LR: 0.000800
Training Epoch: 37 [1792/48700]	Loss: 0.0930	LR: 0.000800
Training Epoch: 37 [2048/48700]	Loss: 0.1520	LR: 0.000800
Training Epoch: 37 [2304/48700]	Loss: 0.1263	LR: 0.000800
Training Epoch: 37 [2560/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 37 [2816/48700]	Loss: 0.1426	LR: 0.000800
Training Epoch: 37 [3072/48700]	Loss: 0.0873	LR: 0.000800
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Training Epoch: 37 [25856/48700]	Loss: 0.0998	LR: 0.000800
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Training Epoch: 37 [26368/48700]	Loss: 0.1203	LR: 0.000800
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Training Epoch: 37 [27904/48700]	Loss: 0.1191	LR: 0.000800
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Training Epoch: 37 [45312/48700]	Loss: 0.1392	LR: 0.000800
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Training Epoch: 37 [46080/48700]	Loss: 0.0868	LR: 0.000800
Training Epoch: 37 [46336/48700]	Loss: 0.1249	LR: 0.000800
Training Epoch: 37 [46592/48700]	Loss: 0.1218	LR: 0.000800
Training Epoch: 37 [46848/48700]	Loss: 0.1369	LR: 0.000800
Training Epoch: 37 [47104/48700]	Loss: 0.0918	LR: 0.000800
Training Epoch: 37 [47360/48700]	Loss: 0.1190	LR: 0.000800
Training Epoch: 37 [47616/48700]	Loss: 0.1204	LR: 0.000800
Training Epoch: 37 [47872/48700]	Loss: 0.1435	LR: 0.000800
Training Epoch: 37 [48128/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 37 [48384/48700]	Loss: 0.0823	LR: 0.000800
Training Epoch: 37 [48640/48700]	Loss: 0.1434	LR: 0.000800
Training Epoch: 37 [48700/48700]	Loss: 0.1412	LR: 0.000800
Epoch 37 - Average Train Loss: 0.1140, Train Accuracy: 0.9672
Epoch 37 training time consumed: 29.74s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0028, Accuracy: 0.8193, Time consumed:1.01s
Saving weights file to checkpoint/retrain/ResNet18/Tuesday_15_July_2025_08h_47m_30s/ResNet18-Cifar20-seed7-ret75-37-best.pth
Training Epoch: 38 [256/48700]	Loss: 0.1402	LR: 0.000800
Training Epoch: 38 [512/48700]	Loss: 0.0929	LR: 0.000800
Training Epoch: 38 [768/48700]	Loss: 0.0875	LR: 0.000800
Training Epoch: 38 [1024/48700]	Loss: 0.1246	LR: 0.000800
Training Epoch: 38 [1280/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 38 [1536/48700]	Loss: 0.0992	LR: 0.000800
Training Epoch: 38 [1792/48700]	Loss: 0.1243	LR: 0.000800
Training Epoch: 38 [2048/48700]	Loss: 0.0964	LR: 0.000800
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Training Epoch: 38 [3328/48700]	Loss: 0.1143	LR: 0.000800
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Training Epoch: 38 [12288/48700]	Loss: 0.1273	LR: 0.000800
Training Epoch: 38 [12544/48700]	Loss: 0.1018	LR: 0.000800
Training Epoch: 38 [12800/48700]	Loss: 0.0673	LR: 0.000800
Training Epoch: 38 [13056/48700]	Loss: 0.1270	LR: 0.000800
Training Epoch: 38 [13312/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 38 [13568/48700]	Loss: 0.1108	LR: 0.000800
Training Epoch: 38 [13824/48700]	Loss: 0.1167	LR: 0.000800
Training Epoch: 38 [14080/48700]	Loss: 0.0796	LR: 0.000800
Training Epoch: 38 [14336/48700]	Loss: 0.1312	LR: 0.000800
Training Epoch: 38 [14592/48700]	Loss: 0.1240	LR: 0.000800
Training Epoch: 38 [14848/48700]	Loss: 0.1083	LR: 0.000800
Training Epoch: 38 [15104/48700]	Loss: 0.1193	LR: 0.000800
Training Epoch: 38 [15360/48700]	Loss: 0.0818	LR: 0.000800
Training Epoch: 38 [15616/48700]	Loss: 0.1422	LR: 0.000800
Training Epoch: 38 [15872/48700]	Loss: 0.0965	LR: 0.000800
Training Epoch: 38 [16128/48700]	Loss: 0.1083	LR: 0.000800
Training Epoch: 38 [16384/48700]	Loss: 0.1342	LR: 0.000800
Training Epoch: 38 [16640/48700]	Loss: 0.1429	LR: 0.000800
Training Epoch: 38 [16896/48700]	Loss: 0.0897	LR: 0.000800
Training Epoch: 38 [17152/48700]	Loss: 0.1375	LR: 0.000800
Training Epoch: 38 [17408/48700]	Loss: 0.1358	LR: 0.000800
Training Epoch: 38 [17664/48700]	Loss: 0.1227	LR: 0.000800
Training Epoch: 38 [17920/48700]	Loss: 0.1217	LR: 0.000800
Training Epoch: 38 [18176/48700]	Loss: 0.0795	LR: 0.000800
Training Epoch: 38 [18432/48700]	Loss: 0.1432	LR: 0.000800
Training Epoch: 38 [18688/48700]	Loss: 0.0993	LR: 0.000800
Training Epoch: 38 [18944/48700]	Loss: 0.0917	LR: 0.000800
Training Epoch: 38 [19200/48700]	Loss: 0.1387	LR: 0.000800
Training Epoch: 38 [19456/48700]	Loss: 0.1876	LR: 0.000800
Training Epoch: 38 [19712/48700]	Loss: 0.1070	LR: 0.000800
Training Epoch: 38 [19968/48700]	Loss: 0.1273	LR: 0.000800
Training Epoch: 38 [20224/48700]	Loss: 0.1365	LR: 0.000800
Training Epoch: 38 [20480/48700]	Loss: 0.1125	LR: 0.000800
Training Epoch: 38 [20736/48700]	Loss: 0.1412	LR: 0.000800
Training Epoch: 38 [20992/48700]	Loss: 0.0943	LR: 0.000800
Training Epoch: 38 [21248/48700]	Loss: 0.0689	LR: 0.000800
Training Epoch: 38 [21504/48700]	Loss: 0.1465	LR: 0.000800
Training Epoch: 38 [21760/48700]	Loss: 0.1402	LR: 0.000800
Training Epoch: 38 [22016/48700]	Loss: 0.1077	LR: 0.000800
Training Epoch: 38 [22272/48700]	Loss: 0.0960	LR: 0.000800
Training Epoch: 38 [22528/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 38 [22784/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 38 [23040/48700]	Loss: 0.1002	LR: 0.000800
Training Epoch: 38 [23296/48700]	Loss: 0.1070	LR: 0.000800
Training Epoch: 38 [23552/48700]	Loss: 0.1127	LR: 0.000800
Training Epoch: 38 [23808/48700]	Loss: 0.1128	LR: 0.000800
Training Epoch: 38 [24064/48700]	Loss: 0.0939	LR: 0.000800
Training Epoch: 38 [24320/48700]	Loss: 0.1158	LR: 0.000800
Training Epoch: 38 [24576/48700]	Loss: 0.0920	LR: 0.000800
Training Epoch: 38 [24832/48700]	Loss: 0.0931	LR: 0.000800
Training Epoch: 38 [25088/48700]	Loss: 0.1372	LR: 0.000800
Training Epoch: 38 [25344/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 38 [25600/48700]	Loss: 0.1150	LR: 0.000800
Training Epoch: 38 [25856/48700]	Loss: 0.1583	LR: 0.000800
Training Epoch: 38 [26112/48700]	Loss: 0.1087	LR: 0.000800
Training Epoch: 38 [26368/48700]	Loss: 0.0841	LR: 0.000800
Training Epoch: 38 [26624/48700]	Loss: 0.1160	LR: 0.000800
Training Epoch: 38 [26880/48700]	Loss: 0.0706	LR: 0.000800
Training Epoch: 38 [27136/48700]	Loss: 0.0940	LR: 0.000800
Training Epoch: 38 [27392/48700]	Loss: 0.1325	LR: 0.000800
Training Epoch: 38 [27648/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 38 [27904/48700]	Loss: 0.0944	LR: 0.000800
Training Epoch: 38 [28160/48700]	Loss: 0.1206	LR: 0.000800
Training Epoch: 38 [28416/48700]	Loss: 0.0880	LR: 0.000800
Training Epoch: 38 [28672/48700]	Loss: 0.1094	LR: 0.000800
Training Epoch: 38 [28928/48700]	Loss: 0.1243	LR: 0.000800
Training Epoch: 38 [29184/48700]	Loss: 0.1047	LR: 0.000800
Training Epoch: 38 [29440/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 38 [29696/48700]	Loss: 0.1108	LR: 0.000800
Training Epoch: 38 [29952/48700]	Loss: 0.0851	LR: 0.000800
Training Epoch: 38 [30208/48700]	Loss: 0.1194	LR: 0.000800
Training Epoch: 38 [30464/48700]	Loss: 0.1246	LR: 0.000800
Training Epoch: 38 [30720/48700]	Loss: 0.1402	LR: 0.000800
Training Epoch: 38 [30976/48700]	Loss: 0.1530	LR: 0.000800
Training Epoch: 38 [31232/48700]	Loss: 0.1249	LR: 0.000800
Training Epoch: 38 [31488/48700]	Loss: 0.1068	LR: 0.000800
Training Epoch: 38 [31744/48700]	Loss: 0.1317	LR: 0.000800
Training Epoch: 38 [32000/48700]	Loss: 0.1503	LR: 0.000800
Training Epoch: 38 [32256/48700]	Loss: 0.0942	LR: 0.000800
Training Epoch: 38 [32512/48700]	Loss: 0.1424	LR: 0.000800
Training Epoch: 38 [32768/48700]	Loss: 0.1150	LR: 0.000800
Training Epoch: 38 [33024/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 38 [33280/48700]	Loss: 0.1119	LR: 0.000800
Training Epoch: 38 [33536/48700]	Loss: 0.1041	LR: 0.000800
Training Epoch: 38 [33792/48700]	Loss: 0.0935	LR: 0.000800
Training Epoch: 38 [34048/48700]	Loss: 0.1439	LR: 0.000800
Training Epoch: 38 [34304/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 38 [34560/48700]	Loss: 0.1001	LR: 0.000800
Training Epoch: 38 [34816/48700]	Loss: 0.1029	LR: 0.000800
Training Epoch: 38 [35072/48700]	Loss: 0.0957	LR: 0.000800
Training Epoch: 38 [35328/48700]	Loss: 0.0695	LR: 0.000800
Training Epoch: 38 [35584/48700]	Loss: 0.0829	LR: 0.000800
Training Epoch: 38 [35840/48700]	Loss: 0.0712	LR: 0.000800
Training Epoch: 38 [36096/48700]	Loss: 0.1404	LR: 0.000800
Training Epoch: 38 [36352/48700]	Loss: 0.1673	LR: 0.000800
Training Epoch: 38 [36608/48700]	Loss: 0.1049	LR: 0.000800
Training Epoch: 38 [36864/48700]	Loss: 0.1019	LR: 0.000800
Training Epoch: 38 [37120/48700]	Loss: 0.1306	LR: 0.000800
Training Epoch: 38 [37376/48700]	Loss: 0.0778	LR: 0.000800
Training Epoch: 38 [37632/48700]	Loss: 0.0775	LR: 0.000800
Training Epoch: 38 [37888/48700]	Loss: 0.1878	LR: 0.000800
Training Epoch: 38 [38144/48700]	Loss: 0.1222	LR: 0.000800
Training Epoch: 38 [38400/48700]	Loss: 0.0994	LR: 0.000800
Training Epoch: 38 [38656/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 38 [38912/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 38 [39168/48700]	Loss: 0.1114	LR: 0.000800
Training Epoch: 38 [39424/48700]	Loss: 0.1238	LR: 0.000800
Training Epoch: 38 [39680/48700]	Loss: 0.1118	LR: 0.000800
Training Epoch: 38 [39936/48700]	Loss: 0.1694	LR: 0.000800
Training Epoch: 38 [40192/48700]	Loss: 0.1184	LR: 0.000800
Training Epoch: 38 [40448/48700]	Loss: 0.0882	LR: 0.000800
Training Epoch: 38 [40704/48700]	Loss: 0.1195	LR: 0.000800
Training Epoch: 38 [40960/48700]	Loss: 0.0943	LR: 0.000800
Training Epoch: 38 [41216/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 38 [41472/48700]	Loss: 0.1562	LR: 0.000800
Training Epoch: 38 [41728/48700]	Loss: 0.1134	LR: 0.000800
Training Epoch: 38 [41984/48700]	Loss: 0.1281	LR: 0.000800
Training Epoch: 38 [42240/48700]	Loss: 0.1216	LR: 0.000800
Training Epoch: 38 [42496/48700]	Loss: 0.1291	LR: 0.000800
Training Epoch: 38 [42752/48700]	Loss: 0.1141	LR: 0.000800
Training Epoch: 38 [43008/48700]	Loss: 0.0805	LR: 0.000800
Training Epoch: 38 [43264/48700]	Loss: 0.0809	LR: 0.000800
Training Epoch: 38 [43520/48700]	Loss: 0.1352	LR: 0.000800
Training Epoch: 38 [43776/48700]	Loss: 0.0812	LR: 0.000800
Training Epoch: 38 [44032/48700]	Loss: 0.1479	LR: 0.000800
Training Epoch: 38 [44288/48700]	Loss: 0.1183	LR: 0.000800
Training Epoch: 38 [44544/48700]	Loss: 0.1258	LR: 0.000800
Training Epoch: 38 [44800/48700]	Loss: 0.1036	LR: 0.000800
Training Epoch: 38 [45056/48700]	Loss: 0.1312	LR: 0.000800
Training Epoch: 38 [45312/48700]	Loss: 0.1057	LR: 0.000800
Training Epoch: 38 [45568/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 38 [45824/48700]	Loss: 0.0900	LR: 0.000800
Training Epoch: 38 [46080/48700]	Loss: 0.1431	LR: 0.000800
Training Epoch: 38 [46336/48700]	Loss: 0.1382	LR: 0.000800
Training Epoch: 38 [46592/48700]	Loss: 0.1044	LR: 0.000800
Training Epoch: 38 [46848/48700]	Loss: 0.1295	LR: 0.000800
Training Epoch: 38 [47104/48700]	Loss: 0.1095	LR: 0.000800
Training Epoch: 38 [47360/48700]	Loss: 0.0998	LR: 0.000800
Training Epoch: 38 [47616/48700]	Loss: 0.1197	LR: 0.000800
Training Epoch: 38 [47872/48700]	Loss: 0.1529	LR: 0.000800
Training Epoch: 38 [48128/48700]	Loss: 0.0785	LR: 0.000800
Training Epoch: 38 [48384/48700]	Loss: 0.1645	LR: 0.000800
Training Epoch: 38 [48640/48700]	Loss: 0.1011	LR: 0.000800
Training Epoch: 38 [48700/48700]	Loss: 0.1345	LR: 0.000800
Epoch 38 - Average Train Loss: 0.1128, Train Accuracy: 0.9676
Epoch 38 training time consumed: 29.85s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0028, Accuracy: 0.8183, Time consumed:0.91s
Training Epoch: 39 [256/48700]	Loss: 0.1195	LR: 0.000800
Training Epoch: 39 [512/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 39 [768/48700]	Loss: 0.1111	LR: 0.000800
Training Epoch: 39 [1024/48700]	Loss: 0.0790	LR: 0.000800
Training Epoch: 39 [1280/48700]	Loss: 0.1293	LR: 0.000800
Training Epoch: 39 [1536/48700]	Loss: 0.1089	LR: 0.000800
Training Epoch: 39 [1792/48700]	Loss: 0.1275	LR: 0.000800
Training Epoch: 39 [2048/48700]	Loss: 0.1027	LR: 0.000800
Training Epoch: 39 [2304/48700]	Loss: 0.1275	LR: 0.000800
Training Epoch: 39 [2560/48700]	Loss: 0.1017	LR: 0.000800
Training Epoch: 39 [2816/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 39 [3072/48700]	Loss: 0.0868	LR: 0.000800
Training Epoch: 39 [3328/48700]	Loss: 0.1113	LR: 0.000800
Training Epoch: 39 [3584/48700]	Loss: 0.0779	LR: 0.000800
Training Epoch: 39 [3840/48700]	Loss: 0.1204	LR: 0.000800
Training Epoch: 39 [4096/48700]	Loss: 0.1537	LR: 0.000800
Training Epoch: 39 [4352/48700]	Loss: 0.0877	LR: 0.000800
Training Epoch: 39 [4608/48700]	Loss: 0.1365	LR: 0.000800
Training Epoch: 39 [4864/48700]	Loss: 0.0963	LR: 0.000800
Training Epoch: 39 [5120/48700]	Loss: 0.1325	LR: 0.000800
Training Epoch: 39 [5376/48700]	Loss: 0.1236	LR: 0.000800
Training Epoch: 39 [5632/48700]	Loss: 0.1284	LR: 0.000800
Training Epoch: 39 [5888/48700]	Loss: 0.0867	LR: 0.000800
Training Epoch: 39 [6144/48700]	Loss: 0.0744	LR: 0.000800
Training Epoch: 39 [6400/48700]	Loss: 0.1060	LR: 0.000800
Training Epoch: 39 [6656/48700]	Loss: 0.1237	LR: 0.000800
Training Epoch: 39 [6912/48700]	Loss: 0.0823	LR: 0.000800
Training Epoch: 39 [7168/48700]	Loss: 0.1007	LR: 0.000800
Training Epoch: 39 [7424/48700]	Loss: 0.1227	LR: 0.000800
Training Epoch: 39 [7680/48700]	Loss: 0.0968	LR: 0.000800
Training Epoch: 39 [7936/48700]	Loss: 0.1023	LR: 0.000800
Training Epoch: 39 [8192/48700]	Loss: 0.0961	LR: 0.000800
Training Epoch: 39 [8448/48700]	Loss: 0.1274	LR: 0.000800
Training Epoch: 39 [8704/48700]	Loss: 0.1114	LR: 0.000800
Training Epoch: 39 [8960/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 39 [9216/48700]	Loss: 0.0746	LR: 0.000800
Training Epoch: 39 [9472/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 39 [9728/48700]	Loss: 0.0958	LR: 0.000800
Training Epoch: 39 [9984/48700]	Loss: 0.0678	LR: 0.000800
Training Epoch: 39 [10240/48700]	Loss: 0.0997	LR: 0.000800
Training Epoch: 39 [10496/48700]	Loss: 0.1362	LR: 0.000800
Training Epoch: 39 [10752/48700]	Loss: 0.1027	LR: 0.000800
Training Epoch: 39 [11008/48700]	Loss: 0.1202	LR: 0.000800
Training Epoch: 39 [11264/48700]	Loss: 0.0906	LR: 0.000800
Training Epoch: 39 [11520/48700]	Loss: 0.0996	LR: 0.000800
Training Epoch: 39 [11776/48700]	Loss: 0.0793	LR: 0.000800
Training Epoch: 39 [12032/48700]	Loss: 0.1083	LR: 0.000800
Training Epoch: 39 [12288/48700]	Loss: 0.0922	LR: 0.000800
Training Epoch: 39 [12544/48700]	Loss: 0.1020	LR: 0.000800
Training Epoch: 39 [12800/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 39 [13056/48700]	Loss: 0.1635	LR: 0.000800
Training Epoch: 39 [13312/48700]	Loss: 0.1394	LR: 0.000800
Training Epoch: 39 [13568/48700]	Loss: 0.0852	LR: 0.000800
Training Epoch: 39 [13824/48700]	Loss: 0.1319	LR: 0.000800
Training Epoch: 39 [14080/48700]	Loss: 0.0879	LR: 0.000800
Training Epoch: 39 [14336/48700]	Loss: 0.1314	LR: 0.000800
Training Epoch: 39 [14592/48700]	Loss: 0.0934	LR: 0.000800
Training Epoch: 39 [14848/48700]	Loss: 0.1234	LR: 0.000800
Training Epoch: 39 [15104/48700]	Loss: 0.1102	LR: 0.000800
Training Epoch: 39 [15360/48700]	Loss: 0.1101	LR: 0.000800
Training Epoch: 39 [15616/48700]	Loss: 0.1432	LR: 0.000800
Training Epoch: 39 [15872/48700]	Loss: 0.1622	LR: 0.000800
Training Epoch: 39 [16128/48700]	Loss: 0.0843	LR: 0.000800
Training Epoch: 39 [16384/48700]	Loss: 0.0883	LR: 0.000800
Training Epoch: 39 [16640/48700]	Loss: 0.0742	LR: 0.000800
Training Epoch: 39 [16896/48700]	Loss: 0.1268	LR: 0.000800
Training Epoch: 39 [17152/48700]	Loss: 0.1147	LR: 0.000800
Training Epoch: 39 [17408/48700]	Loss: 0.0981	LR: 0.000800
Training Epoch: 39 [17664/48700]	Loss: 0.0908	LR: 0.000800
Training Epoch: 39 [17920/48700]	Loss: 0.1542	LR: 0.000800
Training Epoch: 39 [18176/48700]	Loss: 0.1407	LR: 0.000800
Training Epoch: 39 [18432/48700]	Loss: 0.1071	LR: 0.000800
Training Epoch: 39 [18688/48700]	Loss: 0.1245	LR: 0.000800
Training Epoch: 39 [18944/48700]	Loss: 0.0969	LR: 0.000800
Training Epoch: 39 [19200/48700]	Loss: 0.1240	LR: 0.000800
Training Epoch: 39 [19456/48700]	Loss: 0.1123	LR: 0.000800
Training Epoch: 39 [19712/48700]	Loss: 0.0733	LR: 0.000800
Training Epoch: 39 [19968/48700]	Loss: 0.1482	LR: 0.000800
Training Epoch: 39 [20224/48700]	Loss: 0.0851	LR: 0.000800
Training Epoch: 39 [20480/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 39 [20736/48700]	Loss: 0.1540	LR: 0.000800
Training Epoch: 39 [20992/48700]	Loss: 0.0745	LR: 0.000800
Training Epoch: 39 [21248/48700]	Loss: 0.1535	LR: 0.000800
Training Epoch: 39 [21504/48700]	Loss: 0.1294	LR: 0.000800
Training Epoch: 39 [21760/48700]	Loss: 0.1234	LR: 0.000800
Training Epoch: 39 [22016/48700]	Loss: 0.1196	LR: 0.000800
Training Epoch: 39 [22272/48700]	Loss: 0.0744	LR: 0.000800
Training Epoch: 39 [22528/48700]	Loss: 0.1249	LR: 0.000800
Training Epoch: 39 [22784/48700]	Loss: 0.1362	LR: 0.000800
Training Epoch: 39 [23040/48700]	Loss: 0.0942	LR: 0.000800
Training Epoch: 39 [23296/48700]	Loss: 0.1371	LR: 0.000800
Training Epoch: 39 [23552/48700]	Loss: 0.0945	LR: 0.000800
Training Epoch: 39 [23808/48700]	Loss: 0.0879	LR: 0.000800
Training Epoch: 39 [24064/48700]	Loss: 0.0973	LR: 0.000800
Training Epoch: 39 [24320/48700]	Loss: 0.0809	LR: 0.000800
Training Epoch: 39 [24576/48700]	Loss: 0.0729	LR: 0.000800
Training Epoch: 39 [24832/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 39 [25088/48700]	Loss: 0.0835	LR: 0.000800
Training Epoch: 39 [25344/48700]	Loss: 0.1057	LR: 0.000800
Training Epoch: 39 [25600/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 39 [25856/48700]	Loss: 0.0824	LR: 0.000800
Training Epoch: 39 [26112/48700]	Loss: 0.1757	LR: 0.000800
Training Epoch: 39 [26368/48700]	Loss: 0.0769	LR: 0.000800
Training Epoch: 39 [26624/48700]	Loss: 0.1224	LR: 0.000800
Training Epoch: 39 [26880/48700]	Loss: 0.0760	LR: 0.000800
Training Epoch: 39 [27136/48700]	Loss: 0.1253	LR: 0.000800
Training Epoch: 39 [27392/48700]	Loss: 0.0828	LR: 0.000800
Training Epoch: 39 [27648/48700]	Loss: 0.0985	LR: 0.000800
Training Epoch: 39 [27904/48700]	Loss: 0.0732	LR: 0.000800
Training Epoch: 39 [28160/48700]	Loss: 0.1451	LR: 0.000800
Training Epoch: 39 [28416/48700]	Loss: 0.1112	LR: 0.000800
Training Epoch: 39 [28672/48700]	Loss: 0.1213	LR: 0.000800
Training Epoch: 39 [28928/48700]	Loss: 0.1308	LR: 0.000800
Training Epoch: 39 [29184/48700]	Loss: 0.0776	LR: 0.000800
Training Epoch: 39 [29440/48700]	Loss: 0.1294	LR: 0.000800
Training Epoch: 39 [29696/48700]	Loss: 0.0809	LR: 0.000800
Training Epoch: 39 [29952/48700]	Loss: 0.1315	LR: 0.000800
Training Epoch: 39 [30208/48700]	Loss: 0.1394	LR: 0.000800
Training Epoch: 39 [30464/48700]	Loss: 0.1009	LR: 0.000800
Training Epoch: 39 [30720/48700]	Loss: 0.1262	LR: 0.000800
Training Epoch: 39 [30976/48700]	Loss: 0.0865	LR: 0.000800
Training Epoch: 39 [31232/48700]	Loss: 0.0985	LR: 0.000800
Training Epoch: 39 [31488/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 39 [31744/48700]	Loss: 0.1286	LR: 0.000800
Training Epoch: 39 [32000/48700]	Loss: 0.1689	LR: 0.000800
Training Epoch: 39 [32256/48700]	Loss: 0.0900	LR: 0.000800
Training Epoch: 39 [32512/48700]	Loss: 0.1430	LR: 0.000800
Training Epoch: 39 [32768/48700]	Loss: 0.0924	LR: 0.000800
Training Epoch: 39 [33024/48700]	Loss: 0.1159	LR: 0.000800
Training Epoch: 39 [33280/48700]	Loss: 0.0959	LR: 0.000800
Training Epoch: 39 [33536/48700]	Loss: 0.0868	LR: 0.000800
Training Epoch: 39 [33792/48700]	Loss: 0.0901	LR: 0.000800
Training Epoch: 39 [34048/48700]	Loss: 0.1306	LR: 0.000800
Training Epoch: 39 [34304/48700]	Loss: 0.1134	LR: 0.000800
Training Epoch: 39 [34560/48700]	Loss: 0.0937	LR: 0.000800
Training Epoch: 39 [34816/48700]	Loss: 0.1654	LR: 0.000800
Training Epoch: 39 [35072/48700]	Loss: 0.1676	LR: 0.000800
Training Epoch: 39 [35328/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 39 [35584/48700]	Loss: 0.0917	LR: 0.000800
Training Epoch: 39 [35840/48700]	Loss: 0.1004	LR: 0.000800
Training Epoch: 39 [36096/48700]	Loss: 0.1199	LR: 0.000800
Training Epoch: 39 [36352/48700]	Loss: 0.0882	LR: 0.000800
Training Epoch: 39 [36608/48700]	Loss: 0.1251	LR: 0.000800
Training Epoch: 39 [36864/48700]	Loss: 0.0917	LR: 0.000800
Training Epoch: 39 [37120/48700]	Loss: 0.1130	LR: 0.000800
Training Epoch: 39 [37376/48700]	Loss: 0.1322	LR: 0.000800
Training Epoch: 39 [37632/48700]	Loss: 0.0965	LR: 0.000800
Training Epoch: 39 [37888/48700]	Loss: 0.1090	LR: 0.000800
Training Epoch: 39 [38144/48700]	Loss: 0.1203	LR: 0.000800
Training Epoch: 39 [38400/48700]	Loss: 0.1587	LR: 0.000800
Training Epoch: 39 [38656/48700]	Loss: 0.1070	LR: 0.000800
Training Epoch: 39 [38912/48700]	Loss: 0.1020	LR: 0.000800
Training Epoch: 39 [39168/48700]	Loss: 0.1181	LR: 0.000800
Training Epoch: 39 [39424/48700]	Loss: 0.1203	LR: 0.000800
Training Epoch: 39 [39680/48700]	Loss: 0.0907	LR: 0.000800
Training Epoch: 39 [39936/48700]	Loss: 0.1293	LR: 0.000800
Training Epoch: 39 [40192/48700]	Loss: 0.1133	LR: 0.000800
Training Epoch: 39 [40448/48700]	Loss: 0.1110	LR: 0.000800
Training Epoch: 39 [40704/48700]	Loss: 0.1021	LR: 0.000800
Training Epoch: 39 [40960/48700]	Loss: 0.1163	LR: 0.000800
Training Epoch: 39 [41216/48700]	Loss: 0.1111	LR: 0.000800
Training Epoch: 39 [41472/48700]	Loss: 0.0728	LR: 0.000800
Training Epoch: 39 [41728/48700]	Loss: 0.0755	LR: 0.000800
Training Epoch: 39 [41984/48700]	Loss: 0.0817	LR: 0.000800
Training Epoch: 39 [42240/48700]	Loss: 0.1427	LR: 0.000800
Training Epoch: 39 [42496/48700]	Loss: 0.0976	LR: 0.000800
Training Epoch: 39 [42752/48700]	Loss: 0.0939	LR: 0.000800
Training Epoch: 39 [43008/48700]	Loss: 0.1302	LR: 0.000800
Training Epoch: 39 [43264/48700]	Loss: 0.0759	LR: 0.000800
Training Epoch: 39 [43520/48700]	Loss: 0.1257	LR: 0.000800
Training Epoch: 39 [43776/48700]	Loss: 0.1086	LR: 0.000800
Training Epoch: 39 [44032/48700]	Loss: 0.0966	LR: 0.000800
Training Epoch: 39 [44288/48700]	Loss: 0.0662	LR: 0.000800
Training Epoch: 39 [44544/48700]	Loss: 0.1215	LR: 0.000800
Training Epoch: 39 [44800/48700]	Loss: 0.1089	LR: 0.000800
Training Epoch: 39 [45056/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 39 [45312/48700]	Loss: 0.1135	LR: 0.000800
Training Epoch: 39 [45568/48700]	Loss: 0.1221	LR: 0.000800
Training Epoch: 39 [45824/48700]	Loss: 0.1122	LR: 0.000800
Training Epoch: 39 [46080/48700]	Loss: 0.0983	LR: 0.000800
Training Epoch: 39 [46336/48700]	Loss: 0.0849	LR: 0.000800
Training Epoch: 39 [46592/48700]	Loss: 0.0864	LR: 0.000800
Training Epoch: 39 [46848/48700]	Loss: 0.1150	LR: 0.000800
Training Epoch: 39 [47104/48700]	Loss: 0.1140	LR: 0.000800
Training Epoch: 39 [47360/48700]	Loss: 0.0997	LR: 0.000800
Training Epoch: 39 [47616/48700]	Loss: 0.1360	LR: 0.000800
Training Epoch: 39 [47872/48700]	Loss: 0.0686	LR: 0.000800
Training Epoch: 39 [48128/48700]	Loss: 0.0893	LR: 0.000800
Training Epoch: 39 [48384/48700]	Loss: 0.1085	LR: 0.000800
Training Epoch: 39 [48640/48700]	Loss: 0.0799	LR: 0.000800
Training Epoch: 39 [48700/48700]	Loss: 0.1141	LR: 0.000800
Epoch 39 - Average Train Loss: 0.1088, Train Accuracy: 0.9698
Epoch 39 training time consumed: 29.86s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0028, Accuracy: 0.8175, Time consumed:0.95s
Training Epoch: 40 [256/48700]	Loss: 0.0596	LR: 0.000800
Training Epoch: 40 [512/48700]	Loss: 0.1042	LR: 0.000800
Training Epoch: 40 [768/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 40 [1024/48700]	Loss: 0.0755	LR: 0.000800
Training Epoch: 40 [1280/48700]	Loss: 0.1181	LR: 0.000800
Training Epoch: 40 [1536/48700]	Loss: 0.0901	LR: 0.000800
Training Epoch: 40 [1792/48700]	Loss: 0.1073	LR: 0.000800
Training Epoch: 40 [2048/48700]	Loss: 0.0886	LR: 0.000800
Training Epoch: 40 [2304/48700]	Loss: 0.1445	LR: 0.000800
Training Epoch: 40 [2560/48700]	Loss: 0.1034	LR: 0.000800
Training Epoch: 40 [2816/48700]	Loss: 0.1367	LR: 0.000800
Training Epoch: 40 [3072/48700]	Loss: 0.1165	LR: 0.000800
Training Epoch: 40 [3328/48700]	Loss: 0.1609	LR: 0.000800
Training Epoch: 40 [3584/48700]	Loss: 0.0757	LR: 0.000800
Training Epoch: 40 [3840/48700]	Loss: 0.1320	LR: 0.000800
Training Epoch: 40 [4096/48700]	Loss: 0.0981	LR: 0.000800
Training Epoch: 40 [4352/48700]	Loss: 0.1372	LR: 0.000800
Training Epoch: 40 [4608/48700]	Loss: 0.0892	LR: 0.000800
Training Epoch: 40 [4864/48700]	Loss: 0.0964	LR: 0.000800
Training Epoch: 40 [5120/48700]	Loss: 0.1325	LR: 0.000800
Training Epoch: 40 [5376/48700]	Loss: 0.0968	LR: 0.000800
Training Epoch: 40 [5632/48700]	Loss: 0.1109	LR: 0.000800
Training Epoch: 40 [5888/48700]	Loss: 0.1261	LR: 0.000800
Training Epoch: 40 [6144/48700]	Loss: 0.0999	LR: 0.000800
Training Epoch: 40 [6400/48700]	Loss: 0.1586	LR: 0.000800
Training Epoch: 40 [6656/48700]	Loss: 0.0743	LR: 0.000800
Training Epoch: 40 [6912/48700]	Loss: 0.0876	LR: 0.000800
Training Epoch: 40 [7168/48700]	Loss: 0.0623	LR: 0.000800
Training Epoch: 40 [7424/48700]	Loss: 0.0957	LR: 0.000800
Training Epoch: 40 [7680/48700]	Loss: 0.0923	LR: 0.000800
Training Epoch: 40 [7936/48700]	Loss: 0.0904	LR: 0.000800
Training Epoch: 40 [8192/48700]	Loss: 0.1099	LR: 0.000800
Training Epoch: 40 [8448/48700]	Loss: 0.0881	LR: 0.000800
Training Epoch: 40 [8704/48700]	Loss: 0.0865	LR: 0.000800
Training Epoch: 40 [8960/48700]	Loss: 0.0761	LR: 0.000800
Training Epoch: 40 [9216/48700]	Loss: 0.1104	LR: 0.000800
Training Epoch: 40 [9472/48700]	Loss: 0.0802	LR: 0.000800
Training Epoch: 40 [9728/48700]	Loss: 0.0888	LR: 0.000800
Training Epoch: 40 [9984/48700]	Loss: 0.0911	LR: 0.000800
Training Epoch: 40 [10240/48700]	Loss: 0.1057	LR: 0.000800
Training Epoch: 40 [10496/48700]	Loss: 0.0800	LR: 0.000800
Training Epoch: 40 [10752/48700]	Loss: 0.1117	LR: 0.000800
Training Epoch: 40 [11008/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [11264/48700]	Loss: 0.0897	LR: 0.000800
Training Epoch: 40 [11520/48700]	Loss: 0.1157	LR: 0.000800
Training Epoch: 40 [11776/48700]	Loss: 0.1076	LR: 0.000800
Training Epoch: 40 [12032/48700]	Loss: 0.0924	LR: 0.000800
Training Epoch: 40 [12288/48700]	Loss: 0.1225	LR: 0.000800
Training Epoch: 40 [12544/48700]	Loss: 0.0881	LR: 0.000800
Training Epoch: 40 [12800/48700]	Loss: 0.0948	LR: 0.000800
Training Epoch: 40 [13056/48700]	Loss: 0.0721	LR: 0.000800
Training Epoch: 40 [13312/48700]	Loss: 0.0889	LR: 0.000800
Training Epoch: 40 [13568/48700]	Loss: 0.1234	LR: 0.000800
Training Epoch: 40 [13824/48700]	Loss: 0.0933	LR: 0.000800
Training Epoch: 40 [14080/48700]	Loss: 0.0915	LR: 0.000800
Training Epoch: 40 [14336/48700]	Loss: 0.1083	LR: 0.000800
Training Epoch: 40 [14592/48700]	Loss: 0.1212	LR: 0.000800
Training Epoch: 40 [14848/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 40 [15104/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [15360/48700]	Loss: 0.0909	LR: 0.000800
Training Epoch: 40 [15616/48700]	Loss: 0.1445	LR: 0.000800
Training Epoch: 40 [15872/48700]	Loss: 0.1268	LR: 0.000800
Training Epoch: 40 [16128/48700]	Loss: 0.0995	LR: 0.000800
Training Epoch: 40 [16384/48700]	Loss: 0.0921	LR: 0.000800
Training Epoch: 40 [16640/48700]	Loss: 0.0881	LR: 0.000800
Training Epoch: 40 [16896/48700]	Loss: 0.0980	LR: 0.000800
Training Epoch: 40 [17152/48700]	Loss: 0.0866	LR: 0.000800
Training Epoch: 40 [17408/48700]	Loss: 0.0854	LR: 0.000800
Training Epoch: 40 [17664/48700]	Loss: 0.1191	LR: 0.000800
Training Epoch: 40 [17920/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 40 [18176/48700]	Loss: 0.1261	LR: 0.000800
Training Epoch: 40 [18432/48700]	Loss: 0.1093	LR: 0.000800
Training Epoch: 40 [18688/48700]	Loss: 0.1116	LR: 0.000800
Training Epoch: 40 [18944/48700]	Loss: 0.0777	LR: 0.000800
Training Epoch: 40 [19200/48700]	Loss: 0.0842	LR: 0.000800
Training Epoch: 40 [19456/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 40 [19712/48700]	Loss: 0.0768	LR: 0.000800
Training Epoch: 40 [19968/48700]	Loss: 0.1694	LR: 0.000800
Training Epoch: 40 [20224/48700]	Loss: 0.1004	LR: 0.000800
Training Epoch: 40 [20480/48700]	Loss: 0.0896	LR: 0.000800
Training Epoch: 40 [20736/48700]	Loss: 0.1448	LR: 0.000800
Training Epoch: 40 [20992/48700]	Loss: 0.0904	LR: 0.000800
Training Epoch: 40 [21248/48700]	Loss: 0.1247	LR: 0.000800
Training Epoch: 40 [21504/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 40 [21760/48700]	Loss: 0.0974	LR: 0.000800
Training Epoch: 40 [22016/48700]	Loss: 0.0812	LR: 0.000800
Training Epoch: 40 [22272/48700]	Loss: 0.1081	LR: 0.000800
Training Epoch: 40 [22528/48700]	Loss: 0.0926	LR: 0.000800
Training Epoch: 40 [22784/48700]	Loss: 0.1146	LR: 0.000800
Training Epoch: 40 [23040/48700]	Loss: 0.1145	LR: 0.000800
Training Epoch: 40 [23296/48700]	Loss: 0.1008	LR: 0.000800
Training Epoch: 40 [23552/48700]	Loss: 0.1014	LR: 0.000800
Training Epoch: 40 [23808/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 40 [24064/48700]	Loss: 0.0841	LR: 0.000800
Training Epoch: 40 [24320/48700]	Loss: 0.1363	LR: 0.000800
Training Epoch: 40 [24576/48700]	Loss: 0.1231	LR: 0.000800
Training Epoch: 40 [24832/48700]	Loss: 0.0932	LR: 0.000800
Training Epoch: 40 [25088/48700]	Loss: 0.1106	LR: 0.000800
Training Epoch: 40 [25344/48700]	Loss: 0.1170	LR: 0.000800
Training Epoch: 40 [25600/48700]	Loss: 0.0953	LR: 0.000800
Training Epoch: 40 [25856/48700]	Loss: 0.1090	LR: 0.000800
Training Epoch: 40 [26112/48700]	Loss: 0.0669	LR: 0.000800
Training Epoch: 40 [26368/48700]	Loss: 0.1084	LR: 0.000800
Training Epoch: 40 [26624/48700]	Loss: 0.1411	LR: 0.000800
Training Epoch: 40 [26880/48700]	Loss: 0.1061	LR: 0.000800
Training Epoch: 40 [27136/48700]	Loss: 0.0875	LR: 0.000800
Training Epoch: 40 [27392/48700]	Loss: 0.1115	LR: 0.000800
Training Epoch: 40 [27648/48700]	Loss: 0.1072	LR: 0.000800
Training Epoch: 40 [27904/48700]	Loss: 0.0874	LR: 0.000800
Training Epoch: 40 [28160/48700]	Loss: 0.0881	LR: 0.000800
Training Epoch: 40 [28416/48700]	Loss: 0.1058	LR: 0.000800
Training Epoch: 40 [28672/48700]	Loss: 0.0990	LR: 0.000800
Training Epoch: 40 [28928/48700]	Loss: 0.0717	LR: 0.000800
Training Epoch: 40 [29184/48700]	Loss: 0.1111	LR: 0.000800
Training Epoch: 40 [29440/48700]	Loss: 0.1317	LR: 0.000800
Training Epoch: 40 [29696/48700]	Loss: 0.1381	LR: 0.000800
Training Epoch: 40 [29952/48700]	Loss: 0.1051	LR: 0.000800
Training Epoch: 40 [30208/48700]	Loss: 0.1496	LR: 0.000800
Training Epoch: 40 [30464/48700]	Loss: 0.1199	LR: 0.000800
Training Epoch: 40 [30720/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 40 [30976/48700]	Loss: 0.0773	LR: 0.000800
Training Epoch: 40 [31232/48700]	Loss: 0.0979	LR: 0.000800
Training Epoch: 40 [31488/48700]	Loss: 0.0904	LR: 0.000800
Training Epoch: 40 [31744/48700]	Loss: 0.1358	LR: 0.000800
Training Epoch: 40 [32000/48700]	Loss: 0.0958	LR: 0.000800
Training Epoch: 40 [32256/48700]	Loss: 0.0956	LR: 0.000800
Training Epoch: 40 [32512/48700]	Loss: 0.1573	LR: 0.000800
Training Epoch: 40 [32768/48700]	Loss: 0.1160	LR: 0.000800
Training Epoch: 40 [33024/48700]	Loss: 0.1307	LR: 0.000800
Training Epoch: 40 [33280/48700]	Loss: 0.0843	LR: 0.000800
Training Epoch: 40 [33536/48700]	Loss: 0.0845	LR: 0.000800
Training Epoch: 40 [33792/48700]	Loss: 0.1161	LR: 0.000800
Training Epoch: 40 [34048/48700]	Loss: 0.0590	LR: 0.000800
Training Epoch: 40 [34304/48700]	Loss: 0.1252	LR: 0.000800
Training Epoch: 40 [34560/48700]	Loss: 0.0856	LR: 0.000800
Training Epoch: 40 [34816/48700]	Loss: 0.1074	LR: 0.000800
Training Epoch: 40 [35072/48700]	Loss: 0.1187	LR: 0.000800
Training Epoch: 40 [35328/48700]	Loss: 0.1415	LR: 0.000800
Training Epoch: 40 [35584/48700]	Loss: 0.1105	LR: 0.000800
Training Epoch: 40 [35840/48700]	Loss: 0.1558	LR: 0.000800
Training Epoch: 40 [36096/48700]	Loss: 0.1098	LR: 0.000800
Training Epoch: 40 [36352/48700]	Loss: 0.0950	LR: 0.000800
Training Epoch: 40 [36608/48700]	Loss: 0.0955	LR: 0.000800
Training Epoch: 40 [36864/48700]	Loss: 0.1128	LR: 0.000800
Training Epoch: 40 [37120/48700]	Loss: 0.0872	LR: 0.000800
Training Epoch: 40 [37376/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 40 [37632/48700]	Loss: 0.1118	LR: 0.000800
Training Epoch: 40 [37888/48700]	Loss: 0.0760	LR: 0.000800
Training Epoch: 40 [38144/48700]	Loss: 0.0904	LR: 0.000800
Training Epoch: 40 [38400/48700]	Loss: 0.0969	LR: 0.000800
Training Epoch: 40 [38656/48700]	Loss: 0.1204	LR: 0.000800
Training Epoch: 40 [38912/48700]	Loss: 0.1114	LR: 0.000800
Training Epoch: 40 [39168/48700]	Loss: 0.0677	LR: 0.000800
Training Epoch: 40 [39424/48700]	Loss: 0.1494	LR: 0.000800
Training Epoch: 40 [39680/48700]	Loss: 0.0819	LR: 0.000800
Training Epoch: 40 [39936/48700]	Loss: 0.1066	LR: 0.000800
Training Epoch: 40 [40192/48700]	Loss: 0.1343	LR: 0.000800
Training Epoch: 40 [40448/48700]	Loss: 0.0910	LR: 0.000800
Training Epoch: 40 [40704/48700]	Loss: 0.1017	LR: 0.000800
Training Epoch: 40 [40960/48700]	Loss: 0.1072	LR: 0.000800
Training Epoch: 40 [41216/48700]	Loss: 0.0831	LR: 0.000800
Training Epoch: 40 [41472/48700]	Loss: 0.1273	LR: 0.000800
Training Epoch: 40 [41728/48700]	Loss: 0.0770	LR: 0.000800
Training Epoch: 40 [41984/48700]	Loss: 0.1148	LR: 0.000800
Training Epoch: 40 [42240/48700]	Loss: 0.1127	LR: 0.000800
Training Epoch: 40 [42496/48700]	Loss: 0.0837	LR: 0.000800
Training Epoch: 40 [42752/48700]	Loss: 0.1030	LR: 0.000800
Training Epoch: 40 [43008/48700]	Loss: 0.1118	LR: 0.000800
Training Epoch: 40 [43264/48700]	Loss: 0.0986	LR: 0.000800
Training Epoch: 40 [43520/48700]	Loss: 0.1040	LR: 0.000800
Training Epoch: 40 [43776/48700]	Loss: 0.1324	LR: 0.000800
Training Epoch: 40 [44032/48700]	Loss: 0.0920	LR: 0.000800
Training Epoch: 40 [44288/48700]	Loss: 0.0855	LR: 0.000800
Training Epoch: 40 [44544/48700]	Loss: 0.1178	LR: 0.000800
Training Epoch: 40 [44800/48700]	Loss: 0.1598	LR: 0.000800
Training Epoch: 40 [45056/48700]	Loss: 0.1059	LR: 0.000800
Training Epoch: 40 [45312/48700]	Loss: 0.1171	LR: 0.000800
Training Epoch: 40 [45568/48700]	Loss: 0.1186	LR: 0.000800
Training Epoch: 40 [45824/48700]	Loss: 0.0943	LR: 0.000800
Training Epoch: 40 [46080/48700]	Loss: 0.1045	LR: 0.000800
Training Epoch: 40 [46336/48700]	Loss: 0.0899	LR: 0.000800
Training Epoch: 40 [46592/48700]	Loss: 0.1248	LR: 0.000800
Training Epoch: 40 [46848/48700]	Loss: 0.0946	LR: 0.000800
Training Epoch: 40 [47104/48700]	Loss: 0.1037	LR: 0.000800
Training Epoch: 40 [47360/48700]	Loss: 0.0933	LR: 0.000800
Training Epoch: 40 [47616/48700]	Loss: 0.0472	LR: 0.000800
Training Epoch: 40 [47872/48700]	Loss: 0.1205	LR: 0.000800
Training Epoch: 40 [48128/48700]	Loss: 0.1171	LR: 0.000800
Training Epoch: 40 [48384/48700]	Loss: 0.1218	LR: 0.000800
Training Epoch: 40 [48640/48700]	Loss: 0.1354	LR: 0.000800
Training Epoch: 40 [48700/48700]	Loss: 0.0944	LR: 0.000800
Epoch 40 - Average Train Loss: 0.1047, Train Accuracy: 0.9698
Epoch 40 training time consumed: 29.82s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0028, Accuracy: 0.8174, Time consumed:0.92s
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: 81.728515625
Retain Accuracy: 97.42146301269531
Zero-Retain Forget (ZRF): 0.9020527601242065
Membership Inference Attack (MIA): 0.5907692307692308
Forget vs Retain Membership Inference Attack (MIA): 0.6
Forget vs Test Membership Inference Attack (MIA): 0.5019230769230769
Test vs Retain Membership Inference Attack (MIA): 0.56775
Train vs Test Membership Inference Attack (MIA): 0.59875
Forget Set Accuracy (Df): 78.54166412353516
Method Execution Time: 2250.80 seconds
