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

📌 S Forget class distribution for seed 1:
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: 475
  Class 1: 475
  Class 2: 475
  Class 3: 475
  Class 4: 475
  Class 5: 475
  Class 6: 475
  Class 7: 475
  Class 8: 475
  Class 9: 475
  Class 10: 475
  Class 11: 475
  Class 12: 475
  Class 13: 475
  Class 14: 475
  Class 15: 475
  Class 16: 475
  Class 17: 475
  Class 18: 475
  Class 19: 475
  Class 20: 475
  Class 21: 475
  Class 22: 475
  Class 23: 475
  Class 24: 475
  Class 25: 475
  Class 26: 475
  Class 27: 475
  Class 28: 475
  Class 29: 475
  Class 30: 475
  Class 31: 475
  Class 32: 475
  Class 33: 475
  Class 34: 475
  Class 35: 475
  Class 36: 475
  Class 37: 475
  Class 38: 475
  Class 39: 475
  Class 40: 475
  Class 41: 475
  Class 42: 475
  Class 43: 475
  Class 44: 475
  Class 45: 475
  Class 46: 475
  Class 47: 475
  Class 48: 475
  Class 49: 475
  Class 50: 475
  Class 51: 475
  Class 52: 475
  Class 53: 475
  Class 54: 475
  Class 55: 475
  Class 56: 475
  Class 57: 475
  Class 58: 475
  Class 59: 475
  Class 60: 475
  Class 61: 475
  Class 62: 475
  Class 63: 475
  Class 64: 475
  Class 65: 475
  Class 66: 475
  Class 67: 475
  Class 68: 475
  Class 69: 475
  Class 70: 475
  Class 71: 475
  Class 72: 475
  Class 73: 475
  Class 74: 475
  Class 75: 475
  Class 76: 475
  Class 77: 475
  Class 78: 475
  Class 79: 475
  Class 80: 475
  Class 81: 475
  Class 82: 475
  Class 83: 475
  Class 84: 475
  Class 85: 475
  Class 86: 475
  Class 87: 475
  Class 88: 475
  Class 89: 475
  Class 90: 475
  Class 91: 475
  Class 92: 475
  Class 93: 475
  Class 94: 475
  Class 95: 475
  Class 96: 475
  Class 97: 475
  Class 98: 475
  Class 99: 475
Forget set:
  Class 0: 25
  Class 1: 25
  Class 2: 25
  Class 3: 25
  Class 4: 25
  Class 5: 25
  Class 6: 25
  Class 7: 25
  Class 8: 25
  Class 9: 25
  Class 10: 25
  Class 11: 25
  Class 12: 25
  Class 13: 25
  Class 14: 25
  Class 15: 25
  Class 16: 25
  Class 17: 25
  Class 18: 25
  Class 19: 25
  Class 20: 25
  Class 21: 25
  Class 22: 25
  Class 23: 25
  Class 24: 25
  Class 25: 25
  Class 26: 25
  Class 27: 25
  Class 28: 25
  Class 29: 25
  Class 30: 25
  Class 31: 25
  Class 32: 25
  Class 33: 25
  Class 34: 25
  Class 35: 25
  Class 36: 25
  Class 37: 25
  Class 38: 25
  Class 39: 25
  Class 40: 25
  Class 41: 25
  Class 42: 25
  Class 43: 25
  Class 44: 25
  Class 45: 25
  Class 46: 25
  Class 47: 25
  Class 48: 25
  Class 49: 25
  Class 50: 25
  Class 51: 25
  Class 52: 25
  Class 53: 25
  Class 54: 25
  Class 55: 25
  Class 56: 25
  Class 57: 25
  Class 58: 25
  Class 59: 25
  Class 60: 25
  Class 61: 25
  Class 62: 25
  Class 63: 25
  Class 64: 25
  Class 65: 25
  Class 66: 25
  Class 67: 25
  Class 68: 25
  Class 69: 25
  Class 70: 25
  Class 71: 25
  Class 72: 25
  Class 73: 25
  Class 74: 25
  Class 75: 25
  Class 76: 25
  Class 77: 25
  Class 78: 25
  Class 79: 25
  Class 80: 25
  Class 81: 25
  Class 82: 25
  Class 83: 25
  Class 84: 25
  Class 85: 25
  Class 86: 25
  Class 87: 25
  Class 88: 25
  Class 89: 25
  Class 90: 25
  Class 91: 25
  Class 92: 25
  Class 93: 25
  Class 94: 25
  Class 95: 25
  Class 96: 25
  Class 97: 25
  Class 98: 25
  Class 99: 25
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 3.0157	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.0307	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.0041	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0200	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0098	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0074	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 3.0233	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9641	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9853	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9670	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9620	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9096	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9041	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.8919	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.9151	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8699	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8594	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.8496	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8489	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.8482	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.8069	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.8108	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.8437	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7528	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.8268	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.7334	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.7243	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.8081	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.6944	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.6870	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.7324	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.6873	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.6794	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.6623	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.7101	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.6138	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.5769	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.6441	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.6069	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.5879	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.5986	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.5417	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.5598	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.6459	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.5709	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.5586	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.5971	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.6095	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.6332	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.4676	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.6191	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.4314	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.5914	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.4992	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.5085	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.5179	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.6211	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.5580	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.5516	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.4260	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.4678	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.3909	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.4173	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.4423	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.4800	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.4813	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.5513	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.4500	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.5090	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.4451	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.4005	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.3462	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.5389	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.5169	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.5329	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.4149	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.4814	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.4085	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.5811	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.3976	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.4838	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.3529	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.4192	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.5040	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.5582	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.3117	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.6082	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.4680	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.4997	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.4416	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.4597	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.5563	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.5067	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.4984	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.5077	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.4007	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.3455	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.5687	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4107	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.4435	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.5752	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.5485	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.5215	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.3986	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.4937	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.3603	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.3995	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.3478	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.6078	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.4074	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.5749	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.4132	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.3863	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.5906	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.4417	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.3119	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.4238	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.4103	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.5198	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.3519	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.3470	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.4460	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.3857	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.3508	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.3917	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.3828	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.3133	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.5390	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.3219	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.3295	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.4199	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.5055	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.4315	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.5664	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.4704	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.4401	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.4813	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.4597	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.3771	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.4101	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.3721	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.3282	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.4318	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.4017	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.3777	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.2427	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.4111	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.3089	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.4396	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.5098	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.4402	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.3919	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.3833	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.3373	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.4096	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.4167	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.4120	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.3403	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.3523	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.3917	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.2782	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.2865	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.3283	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.3632	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.3541	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.3218	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.4169	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.3775	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.4434	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3625	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.3962	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.4099	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3623	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.3662	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.2971	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.4390	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.3184	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.3423	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.3295	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.3313	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.3158	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.3594	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.4000	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.4160	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.4576	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.2342	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5235, Train Accuracy: 0.2183
Epoch 1 training time consumed: 26.46s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0098, Accuracy: 0.2492, Time consumed:1.04s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.2438	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.2446	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.4125	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1858, Train Accuracy: 0.3159
Epoch 2 training time consumed: 25.61s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0088, Accuracy: 0.3295, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.7588	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9603, Train Accuracy: 0.3865
Epoch 3 training time consumed: 25.87s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0079, Accuracy: 0.3908, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.8690	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.7685, Train Accuracy: 0.4438
Epoch 4 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0073, Accuracy: 0.4472, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.6627	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.6081, Train Accuracy: 0.4911
Epoch 5 training time consumed: 26.03s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0077, Accuracy: 0.4476, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-5-best.pth
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Epoch 6 - Average Train Loss: 1.4822, Train Accuracy: 0.5266
Epoch 6 training time consumed: 26.01s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0063, Accuracy: 0.5031, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.3151	LR: 0.100000
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Epoch 7 - Average Train Loss: 1.3647, Train Accuracy: 0.5620
Epoch 7 training time consumed: 25.82s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0067, Accuracy: 0.5026, Time consumed:0.87s
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Epoch 8 - Average Train Loss: 1.2784, Train Accuracy: 0.5913
Epoch 8 training time consumed: 25.96s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0060, Accuracy: 0.5490, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-8-best.pth
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Training Epoch: 9 [47500/47500]	Loss: 1.3560	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2175, Train Accuracy: 0.6128
Epoch 9 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0053, Accuracy: 0.5935, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 1.1512	LR: 0.100000
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Epoch 10 - Average Train Loss: 1.1436, Train Accuracy: 0.6335
Epoch 10 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0055, Accuracy: 0.5723, Time consumed:0.89s
Training Epoch: 11 [256/47500]	Loss: 1.0412	LR: 0.100000
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Training Epoch: 11 [29440/47500]	Loss: 1.1114	LR: 0.100000
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Training Epoch: 11 [29952/47500]	Loss: 1.0112	LR: 0.100000
Training Epoch: 11 [30208/47500]	Loss: 1.1150	LR: 0.100000
Training Epoch: 11 [30464/47500]	Loss: 1.0927	LR: 0.100000
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Training Epoch: 11 [30976/47500]	Loss: 1.1880	LR: 0.100000
Training Epoch: 11 [31232/47500]	Loss: 1.0481	LR: 0.100000
Training Epoch: 11 [31488/47500]	Loss: 1.1830	LR: 0.100000
Training Epoch: 11 [31744/47500]	Loss: 1.0287	LR: 0.100000
Training Epoch: 11 [32000/47500]	Loss: 0.9886	LR: 0.100000
Training Epoch: 11 [32256/47500]	Loss: 1.2108	LR: 0.100000
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Training Epoch: 11 [41472/47500]	Loss: 0.9832	LR: 0.100000
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Training Epoch: 11 [43264/47500]	Loss: 1.1389	LR: 0.100000
Training Epoch: 11 [43520/47500]	Loss: 1.1088	LR: 0.100000
Training Epoch: 11 [43776/47500]	Loss: 1.3579	LR: 0.100000
Training Epoch: 11 [44032/47500]	Loss: 1.2205	LR: 0.100000
Training Epoch: 11 [44288/47500]	Loss: 1.2327	LR: 0.100000
Training Epoch: 11 [44544/47500]	Loss: 1.0819	LR: 0.100000
Training Epoch: 11 [44800/47500]	Loss: 1.1643	LR: 0.100000
Training Epoch: 11 [45056/47500]	Loss: 0.9884	LR: 0.100000
Training Epoch: 11 [45312/47500]	Loss: 1.0877	LR: 0.100000
Training Epoch: 11 [45568/47500]	Loss: 0.9856	LR: 0.100000
Training Epoch: 11 [45824/47500]	Loss: 1.0546	LR: 0.100000
Training Epoch: 11 [46080/47500]	Loss: 1.0559	LR: 0.100000
Training Epoch: 11 [46336/47500]	Loss: 1.0563	LR: 0.100000
Training Epoch: 11 [46592/47500]	Loss: 1.0954	LR: 0.100000
Training Epoch: 11 [46848/47500]	Loss: 1.1918	LR: 0.100000
Training Epoch: 11 [47104/47500]	Loss: 1.0196	LR: 0.100000
Training Epoch: 11 [47360/47500]	Loss: 1.0478	LR: 0.100000
Training Epoch: 11 [47500/47500]	Loss: 1.0547	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1152, Train Accuracy: 0.6417
Epoch 11 training time consumed: 25.99s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0055, Accuracy: 0.5881, Time consumed:0.88s
Training Epoch: 12 [256/47500]	Loss: 0.8115	LR: 0.100000
Training Epoch: 12 [512/47500]	Loss: 0.9986	LR: 0.100000
Training Epoch: 12 [768/47500]	Loss: 1.1550	LR: 0.100000
Training Epoch: 12 [1024/47500]	Loss: 1.0615	LR: 0.100000
Training Epoch: 12 [1280/47500]	Loss: 1.0971	LR: 0.100000
Training Epoch: 12 [1536/47500]	Loss: 1.1063	LR: 0.100000
Training Epoch: 12 [1792/47500]	Loss: 1.1521	LR: 0.100000
Training Epoch: 12 [2048/47500]	Loss: 1.0905	LR: 0.100000
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Training Epoch: 12 [2560/47500]	Loss: 0.9659	LR: 0.100000
Training Epoch: 12 [2816/47500]	Loss: 1.0763	LR: 0.100000
Training Epoch: 12 [3072/47500]	Loss: 1.0916	LR: 0.100000
Training Epoch: 12 [3328/47500]	Loss: 1.0095	LR: 0.100000
Training Epoch: 12 [3584/47500]	Loss: 0.9558	LR: 0.100000
Training Epoch: 12 [3840/47500]	Loss: 1.0642	LR: 0.100000
Training Epoch: 12 [4096/47500]	Loss: 1.1375	LR: 0.100000
Training Epoch: 12 [4352/47500]	Loss: 0.9160	LR: 0.100000
Training Epoch: 12 [4608/47500]	Loss: 1.0168	LR: 0.100000
Training Epoch: 12 [4864/47500]	Loss: 1.0325	LR: 0.100000
Training Epoch: 12 [5120/47500]	Loss: 1.1344	LR: 0.100000
Training Epoch: 12 [5376/47500]	Loss: 1.0342	LR: 0.100000
Training Epoch: 12 [5632/47500]	Loss: 1.1203	LR: 0.100000
Training Epoch: 12 [5888/47500]	Loss: 1.1041	LR: 0.100000
Training Epoch: 12 [6144/47500]	Loss: 1.1050	LR: 0.100000
Training Epoch: 12 [6400/47500]	Loss: 1.1854	LR: 0.100000
Training Epoch: 12 [6656/47500]	Loss: 0.9782	LR: 0.100000
Training Epoch: 12 [6912/47500]	Loss: 1.1460	LR: 0.100000
Training Epoch: 12 [7168/47500]	Loss: 1.1170	LR: 0.100000
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Training Epoch: 12 [29184/47500]	Loss: 1.1885	LR: 0.100000
Training Epoch: 12 [29440/47500]	Loss: 1.0677	LR: 0.100000
Training Epoch: 12 [29696/47500]	Loss: 1.1225	LR: 0.100000
Training Epoch: 12 [29952/47500]	Loss: 1.0341	LR: 0.100000
Training Epoch: 12 [30208/47500]	Loss: 1.0556	LR: 0.100000
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Training Epoch: 12 [30976/47500]	Loss: 0.8820	LR: 0.100000
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Training Epoch: 12 [39936/47500]	Loss: 1.0561	LR: 0.100000
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Training Epoch: 12 [40960/47500]	Loss: 0.9655	LR: 0.100000
Training Epoch: 12 [41216/47500]	Loss: 0.8855	LR: 0.100000
Training Epoch: 12 [41472/47500]	Loss: 1.0975	LR: 0.100000
Training Epoch: 12 [41728/47500]	Loss: 1.0307	LR: 0.100000
Training Epoch: 12 [41984/47500]	Loss: 0.9817	LR: 0.100000
Training Epoch: 12 [42240/47500]	Loss: 1.1421	LR: 0.100000
Training Epoch: 12 [42496/47500]	Loss: 1.1182	LR: 0.100000
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Training Epoch: 12 [43264/47500]	Loss: 1.1698	LR: 0.100000
Training Epoch: 12 [43520/47500]	Loss: 1.1327	LR: 0.100000
Training Epoch: 12 [43776/47500]	Loss: 1.0418	LR: 0.100000
Training Epoch: 12 [44032/47500]	Loss: 1.0222	LR: 0.100000
Training Epoch: 12 [44288/47500]	Loss: 1.0404	LR: 0.100000
Training Epoch: 12 [44544/47500]	Loss: 1.0894	LR: 0.100000
Training Epoch: 12 [44800/47500]	Loss: 1.2481	LR: 0.100000
Training Epoch: 12 [45056/47500]	Loss: 1.0595	LR: 0.100000
Training Epoch: 12 [45312/47500]	Loss: 1.0632	LR: 0.100000
Training Epoch: 12 [45568/47500]	Loss: 1.0091	LR: 0.100000
Training Epoch: 12 [45824/47500]	Loss: 1.0429	LR: 0.100000
Training Epoch: 12 [46080/47500]	Loss: 1.0768	LR: 0.100000
Training Epoch: 12 [46336/47500]	Loss: 1.1848	LR: 0.100000
Training Epoch: 12 [46592/47500]	Loss: 1.1075	LR: 0.100000
Training Epoch: 12 [46848/47500]	Loss: 1.0434	LR: 0.100000
Training Epoch: 12 [47104/47500]	Loss: 1.1011	LR: 0.100000
Training Epoch: 12 [47360/47500]	Loss: 1.1110	LR: 0.100000
Training Epoch: 12 [47500/47500]	Loss: 1.2717	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0770, Train Accuracy: 0.6542
Epoch 12 training time consumed: 25.82s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0057, Accuracy: 0.5826, Time consumed:0.86s
Training Epoch: 13 [256/47500]	Loss: 0.9897	LR: 0.100000
Training Epoch: 13 [512/47500]	Loss: 1.0046	LR: 0.100000
Training Epoch: 13 [768/47500]	Loss: 1.1078	LR: 0.100000
Training Epoch: 13 [1024/47500]	Loss: 1.0996	LR: 0.100000
Training Epoch: 13 [1280/47500]	Loss: 0.9662	LR: 0.100000
Training Epoch: 13 [1536/47500]	Loss: 1.1204	LR: 0.100000
Training Epoch: 13 [1792/47500]	Loss: 1.0405	LR: 0.100000
Training Epoch: 13 [2048/47500]	Loss: 1.0337	LR: 0.100000
Training Epoch: 13 [2304/47500]	Loss: 1.0658	LR: 0.100000
Training Epoch: 13 [2560/47500]	Loss: 1.0520	LR: 0.100000
Training Epoch: 13 [2816/47500]	Loss: 1.0201	LR: 0.100000
Training Epoch: 13 [3072/47500]	Loss: 1.0230	LR: 0.100000
Training Epoch: 13 [3328/47500]	Loss: 1.0026	LR: 0.100000
Training Epoch: 13 [3584/47500]	Loss: 1.0922	LR: 0.100000
Training Epoch: 13 [3840/47500]	Loss: 0.9934	LR: 0.100000
Training Epoch: 13 [4096/47500]	Loss: 0.9384	LR: 0.100000
Training Epoch: 13 [4352/47500]	Loss: 1.1384	LR: 0.100000
Training Epoch: 13 [4608/47500]	Loss: 0.9936	LR: 0.100000
Training Epoch: 13 [4864/47500]	Loss: 1.2304	LR: 0.100000
Training Epoch: 13 [5120/47500]	Loss: 1.0466	LR: 0.100000
Training Epoch: 13 [5376/47500]	Loss: 1.0425	LR: 0.100000
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Epoch 13 - Average Train Loss: 1.0376, Train Accuracy: 0.6682
Epoch 13 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0051, Accuracy: 0.6049, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 1.1453	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0123, Train Accuracy: 0.6760
Epoch 14 training time consumed: 25.87s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0054, Accuracy: 0.5949, Time consumed:0.85s
Training Epoch: 15 [256/47500]	Loss: 0.9159	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.7735	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7705, Train Accuracy: 0.7576
Epoch 15 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0033, Accuracy: 0.7329, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.6743	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.5342	LR: 0.020000
Epoch 16 - Average Train Loss: 0.6966, Train Accuracy: 0.7797
Epoch 16 training time consumed: 26.01s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7353, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-16-best.pth
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Training Epoch: 17 [47500/47500]	Loss: 0.8154	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6649, Train Accuracy: 0.7871
Epoch 17 training time consumed: 25.86s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0033, Accuracy: 0.7432, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.6925	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.7199	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6404, Train Accuracy: 0.7942
Epoch 18 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0034, Accuracy: 0.7327, Time consumed:0.93s
Training Epoch: 19 [256/47500]	Loss: 0.5717	LR: 0.020000
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Training Epoch: 19 [47500/47500]	Loss: 0.7646	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6257, Train Accuracy: 0.7989
Epoch 19 training time consumed: 26.34s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0033, Accuracy: 0.7461, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.5547	LR: 0.020000
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Training Epoch: 20 [47500/47500]	Loss: 0.6908	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6081, Train Accuracy: 0.8051
Epoch 20 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0036, Accuracy: 0.7298, Time consumed:0.86s
Training Epoch: 21 [256/47500]	Loss: 0.5818	LR: 0.020000
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Training Epoch: 21 [47500/47500]	Loss: 0.4882	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5908, Train Accuracy: 0.8105
Epoch 21 training time consumed: 25.89s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0033, Accuracy: 0.7495, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-21-best.pth
Training Epoch: 22 [256/47500]	Loss: 0.5903	LR: 0.020000
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Training Epoch: 22 [22016/47500]	Loss: 0.7005	LR: 0.020000
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Training Epoch: 22 [29440/47500]	Loss: 0.5998	LR: 0.020000
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Training Epoch: 22 [29952/47500]	Loss: 0.6226	LR: 0.020000
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Training Epoch: 22 [32256/47500]	Loss: 0.5511	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.6091	LR: 0.020000
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Training Epoch: 22 [35328/47500]	Loss: 0.5759	LR: 0.020000
Training Epoch: 22 [35584/47500]	Loss: 0.5721	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.5829	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.5083	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.6041	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.5704	LR: 0.020000
Training Epoch: 22 [36864/47500]	Loss: 0.6183	LR: 0.020000
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Training Epoch: 22 [37376/47500]	Loss: 0.5907	LR: 0.020000
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Training Epoch: 22 [37888/47500]	Loss: 0.5347	LR: 0.020000
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Training Epoch: 22 [40448/47500]	Loss: 0.6874	LR: 0.020000
Training Epoch: 22 [40704/47500]	Loss: 0.6035	LR: 0.020000
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Training Epoch: 22 [41216/47500]	Loss: 0.6329	LR: 0.020000
Training Epoch: 22 [41472/47500]	Loss: 0.6646	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.5812	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.5443	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.6322	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.6674	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.6525	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.6419	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.5999	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.6653	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.6398	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.6502	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.7566	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.5823	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.7299	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.5793	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.5354	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.5130	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.6144	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.5650	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.5777	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.5615	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.6692	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.6155	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5818, Train Accuracy: 0.8127
Epoch 22 training time consumed: 25.86s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0033, Accuracy: 0.7449, Time consumed:0.98s
Training Epoch: 23 [256/47500]	Loss: 0.4873	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.5229	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.4312	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.5132	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.5403	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.4779	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.5051	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.6007	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.6527	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.5500	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.5412	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.5980	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.4912	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.4558	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.6943	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.5155	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.4846	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.5191	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.5628	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.4711	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.6052	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.5584	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.4794	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.5799	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.5960	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.5805	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.6252	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.5296	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.5353	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.5839	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.5219	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.5489	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.5086	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.4718	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.6135	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.5330	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.4544	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.5995	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.5468	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.5943	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.5984	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.5273	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.5879	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.6085	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.5465	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.5805	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.5534	LR: 0.020000
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Training Epoch: 23 [18176/47500]	Loss: 0.6250	LR: 0.020000
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Training Epoch: 23 [18688/47500]	Loss: 0.6137	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.4781	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.5764	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.6112	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.5024	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.4744	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.5157	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.6831	LR: 0.020000
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Training Epoch: 23 [22528/47500]	Loss: 0.5581	LR: 0.020000
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Training Epoch: 23 [24576/47500]	Loss: 0.5988	LR: 0.020000
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Training Epoch: 23 [37888/47500]	Loss: 0.5026	LR: 0.020000
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Training Epoch: 23 [38656/47500]	Loss: 0.6081	LR: 0.020000
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Training Epoch: 23 [43520/47500]	Loss: 0.6897	LR: 0.020000
Training Epoch: 23 [43776/47500]	Loss: 0.5140	LR: 0.020000
Training Epoch: 23 [44032/47500]	Loss: 0.5893	LR: 0.020000
Training Epoch: 23 [44288/47500]	Loss: 0.6469	LR: 0.020000
Training Epoch: 23 [44544/47500]	Loss: 0.5181	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.7641	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.6362	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.5273	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.5805	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.5744	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.6159	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.6024	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.5098	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.6203	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.6579	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.4976	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5637, Train Accuracy: 0.8166
Epoch 23 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0035, Accuracy: 0.7373, Time consumed:0.87s
Training Epoch: 24 [256/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.5652	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.4712	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.5635	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.5024	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.5761	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.4540	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.5839	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.6666	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.5929	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.4795	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.5685	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.6079	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.5790	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.5619	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.5198	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.4907	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.5517	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.5572	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.4520	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.4876	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.5892	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.5891	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.5108	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.4414	LR: 0.020000
Training Epoch: 24 [6912/47500]	Loss: 0.5092	LR: 0.020000
Training Epoch: 24 [7168/47500]	Loss: 0.5464	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.4889	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.5029	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.4621	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.5225	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.5291	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.5871	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.5702	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.6430	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.5671	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.4257	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.4936	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.5774	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.5759	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.5545	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.4586	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.5845	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.4827	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.5968	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.5647	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.5048	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.4670	LR: 0.020000
Training Epoch: 24 [13056/47500]	Loss: 0.4800	LR: 0.020000
Training Epoch: 24 [13312/47500]	Loss: 0.5356	LR: 0.020000
Training Epoch: 24 [13568/47500]	Loss: 0.5518	LR: 0.020000
Training Epoch: 24 [13824/47500]	Loss: 0.4858	LR: 0.020000
Training Epoch: 24 [14080/47500]	Loss: 0.5868	LR: 0.020000
Training Epoch: 24 [14336/47500]	Loss: 0.5094	LR: 0.020000
Training Epoch: 24 [14592/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 24 [14848/47500]	Loss: 0.5615	LR: 0.020000
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Training Epoch: 24 [15360/47500]	Loss: 0.6222	LR: 0.020000
Training Epoch: 24 [15616/47500]	Loss: 0.5763	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.5085	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.5674	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.5148	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.5426	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.5288	LR: 0.020000
Training Epoch: 24 [17152/47500]	Loss: 0.5054	LR: 0.020000
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Training Epoch: 24 [17664/47500]	Loss: 0.4891	LR: 0.020000
Training Epoch: 24 [17920/47500]	Loss: 0.5878	LR: 0.020000
Training Epoch: 24 [18176/47500]	Loss: 0.5695	LR: 0.020000
Training Epoch: 24 [18432/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 24 [18688/47500]	Loss: 0.4894	LR: 0.020000
Training Epoch: 24 [18944/47500]	Loss: 0.5859	LR: 0.020000
Training Epoch: 24 [19200/47500]	Loss: 0.5972	LR: 0.020000
Training Epoch: 24 [19456/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 24 [19712/47500]	Loss: 0.4584	LR: 0.020000
Training Epoch: 24 [19968/47500]	Loss: 0.5666	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.5629	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.5242	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.5521	LR: 0.020000
Training Epoch: 24 [20992/47500]	Loss: 0.6555	LR: 0.020000
Training Epoch: 24 [21248/47500]	Loss: 0.5424	LR: 0.020000
Training Epoch: 24 [21504/47500]	Loss: 0.5061	LR: 0.020000
Training Epoch: 24 [21760/47500]	Loss: 0.5347	LR: 0.020000
Training Epoch: 24 [22016/47500]	Loss: 0.5920	LR: 0.020000
Training Epoch: 24 [22272/47500]	Loss: 0.5943	LR: 0.020000
Training Epoch: 24 [22528/47500]	Loss: 0.6168	LR: 0.020000
Training Epoch: 24 [22784/47500]	Loss: 0.4785	LR: 0.020000
Training Epoch: 24 [23040/47500]	Loss: 0.5911	LR: 0.020000
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Training Epoch: 24 [35072/47500]	Loss: 0.5790	LR: 0.020000
Training Epoch: 24 [35328/47500]	Loss: 0.5892	LR: 0.020000
Training Epoch: 24 [35584/47500]	Loss: 0.5021	LR: 0.020000
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Training Epoch: 24 [38656/47500]	Loss: 0.5495	LR: 0.020000
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Training Epoch: 24 [40192/47500]	Loss: 0.7389	LR: 0.020000
Training Epoch: 24 [40448/47500]	Loss: 0.5667	LR: 0.020000
Training Epoch: 24 [40704/47500]	Loss: 0.6361	LR: 0.020000
Training Epoch: 24 [40960/47500]	Loss: 0.5375	LR: 0.020000
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Training Epoch: 24 [41472/47500]	Loss: 0.5092	LR: 0.020000
Training Epoch: 24 [41728/47500]	Loss: 0.5695	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.6840	LR: 0.020000
Training Epoch: 24 [42240/47500]	Loss: 0.5896	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.5397	LR: 0.020000
Training Epoch: 24 [42752/47500]	Loss: 0.5608	LR: 0.020000
Training Epoch: 24 [43008/47500]	Loss: 0.6043	LR: 0.020000
Training Epoch: 24 [43264/47500]	Loss: 0.4646	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.5493	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.5740	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.6525	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.4879	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.6720	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.5671	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.6094	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.5741	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.6638	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.6046	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.4968	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.6552	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.6616	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.6625	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.5663	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.6173	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5590, Train Accuracy: 0.8181
Epoch 24 training time consumed: 26.20s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0034, Accuracy: 0.7430, Time consumed:0.92s
Training Epoch: 25 [256/47500]	Loss: 0.4879	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.4316	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.4652	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.5253	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.5821	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.4445	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.5182	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.5833	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.6076	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.4600	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.4687	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.5154	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.4673	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.4879	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.4479	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.3497	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.5244	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.4780	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.4886	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.5590	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.4679	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.5618	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.5222	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.5834	LR: 0.020000
Training Epoch: 25 [6912/47500]	Loss: 0.4891	LR: 0.020000
Training Epoch: 25 [7168/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 25 [7424/47500]	Loss: 0.5588	LR: 0.020000
Training Epoch: 25 [7680/47500]	Loss: 0.5520	LR: 0.020000
Training Epoch: 25 [7936/47500]	Loss: 0.5362	LR: 0.020000
Training Epoch: 25 [8192/47500]	Loss: 0.5245	LR: 0.020000
Training Epoch: 25 [8448/47500]	Loss: 0.4866	LR: 0.020000
Training Epoch: 25 [8704/47500]	Loss: 0.5918	LR: 0.020000
Training Epoch: 25 [8960/47500]	Loss: 0.5594	LR: 0.020000
Training Epoch: 25 [9216/47500]	Loss: 0.4916	LR: 0.020000
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Training Epoch: 25 [10496/47500]	Loss: 0.6125	LR: 0.020000
Training Epoch: 25 [10752/47500]	Loss: 0.5987	LR: 0.020000
Training Epoch: 25 [11008/47500]	Loss: 0.5421	LR: 0.020000
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Training Epoch: 25 [11776/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 25 [12032/47500]	Loss: 0.5778	LR: 0.020000
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Training Epoch: 25 [13568/47500]	Loss: 0.6133	LR: 0.020000
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Training Epoch: 25 [14080/47500]	Loss: 0.4832	LR: 0.020000
Training Epoch: 25 [14336/47500]	Loss: 0.4402	LR: 0.020000
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Training Epoch: 25 [15616/47500]	Loss: 0.5717	LR: 0.020000
Training Epoch: 25 [15872/47500]	Loss: 0.4928	LR: 0.020000
Training Epoch: 25 [16128/47500]	Loss: 0.6018	LR: 0.020000
Training Epoch: 25 [16384/47500]	Loss: 0.5089	LR: 0.020000
Training Epoch: 25 [16640/47500]	Loss: 0.6153	LR: 0.020000
Training Epoch: 25 [16896/47500]	Loss: 0.5035	LR: 0.020000
Training Epoch: 25 [17152/47500]	Loss: 0.4800	LR: 0.020000
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Training Epoch: 25 [18432/47500]	Loss: 0.5657	LR: 0.020000
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Training Epoch: 25 [19200/47500]	Loss: 0.4503	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.5888	LR: 0.020000
Training Epoch: 25 [19712/47500]	Loss: 0.5151	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.5092	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.5148	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.4641	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.6338	LR: 0.020000
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Training Epoch: 25 [47500/47500]	Loss: 0.5359	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5399, Train Accuracy: 0.8244
Epoch 25 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0034, Accuracy: 0.7502, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-25-best.pth
Training Epoch: 26 [256/47500]	Loss: 0.5332	LR: 0.020000
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Training Epoch: 26 [46848/47500]	Loss: 0.5105	LR: 0.020000
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Training Epoch: 26 [47360/47500]	Loss: 0.5665	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.5692	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5398, Train Accuracy: 0.8246
Epoch 26 training time consumed: 26.02s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0035, Accuracy: 0.7365, Time consumed:0.97s
Training Epoch: 27 [256/47500]	Loss: 0.3707	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.4911	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.4928	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.4764	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.4880	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.4720	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.5525	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.6146	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.5668	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.4868	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.5009	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.3558	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.6374	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.5277	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.4816	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.6118	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.6031	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.5218	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.4817	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.4530	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.5072	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.5364	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.5229	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.5386	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.5203	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.5364	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.5403	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.4830	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.6159	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.5180	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.5282	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.4739	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.5908	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.5777	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.4612	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.5318	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.5155	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.5506	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.6149	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.5477	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.5883	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.5823	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.5218	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.4860	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.4814	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.4509	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.4614	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.4336	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.4831	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.4345	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.4411	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.5485	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.4692	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.5415	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.6211	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.4365	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.4586	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.5141	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.5545	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.5437	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.5747	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.5316	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.4800	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.4962	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.5359	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.5176	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.5325	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.5593	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.6013	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.4666	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.5709	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.4866	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.4491	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.4681	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.4631	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.5663	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.5641	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.5520	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.6231	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.4752	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.4952	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.6263	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.4089	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.4437	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.4555	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.6183	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.5376	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.5352	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.6128	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.5065	LR: 0.020000
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Training Epoch: 27 [27136/47500]	Loss: 0.4620	LR: 0.020000
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Training Epoch: 27 [27648/47500]	Loss: 0.5262	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.6445	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.5555	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.5327	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.4386	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.5218	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.5572	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.5044	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.5414	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.5569	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.4867	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.4182	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.5586	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.4891	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.5671	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.5188	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.5856	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.6148	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.5484	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.7142	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.4981	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.5569	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.5353	LR: 0.020000
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Training Epoch: 27 [34560/47500]	Loss: 0.6625	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.4996	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.5490	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.5175	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.5186	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.4769	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.5694	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.5739	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.5096	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.5108	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.5083	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.4509	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.5326	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.6043	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.5284	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.6228	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.4668	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.5426	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.5102	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.6377	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.5766	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.5651	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.4621	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.5716	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.5423	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.6054	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.5734	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.3905	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.5296	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.4770	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.5516	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.5496	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.4802	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.5316	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.5982	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.6336	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.4411	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.6542	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.4890	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.5318	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.4801	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.5858	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.5006	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.6074	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.5145	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.6027	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.5358	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.5508	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.5005	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5248, Train Accuracy: 0.8298
Epoch 27 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0037, Accuracy: 0.7303, Time consumed:0.88s
Training Epoch: 28 [256/47500]	Loss: 0.4857	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.5294	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.4123	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.5072	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.4199	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.5004	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.4990	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.5096	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.5283	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.4737	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.4314	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.4591	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.4151	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.3773	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.3997	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.5473	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.5005	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.5483	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.5302	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.5460	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.4428	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.4381	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.4494	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.5115	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.4595	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.4604	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.4782	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.4816	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.5648	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.5682	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.5368	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.5358	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.5787	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.5492	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.6080	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.4578	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.4621	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.5033	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.5332	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.4279	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.5427	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.4613	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.4703	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.4771	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.4720	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.4984	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.4819	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.4850	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.4959	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.5105	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.5209	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.5106	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.4602	LR: 0.020000
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Training Epoch: 28 [14848/47500]	Loss: 0.4739	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.6668	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.4668	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.5299	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.5691	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.4727	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.5281	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.4867	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.5137	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.4899	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.5313	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.5719	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.5801	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.5212	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.5371	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.5549	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.5057	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.5535	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.4823	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.4862	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.5830	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.5808	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.4815	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.4926	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.4747	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.4755	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.5651	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.4782	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.5374	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.5406	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.5005	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.5529	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.3903	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.5322	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.5176	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.4137	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.5055	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.5404	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.5735	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.4053	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.5143	LR: 0.020000
Training Epoch: 28 [26112/47500]	Loss: 0.4500	LR: 0.020000
Training Epoch: 28 [26368/47500]	Loss: 0.5324	LR: 0.020000
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Training Epoch: 28 [27648/47500]	Loss: 0.6138	LR: 0.020000
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Training Epoch: 28 [28160/47500]	Loss: 0.5620	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.5357	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.5016	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.6284	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.5185	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.4866	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.5471	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.5070	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.5963	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.4574	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.5358	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.5666	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.5761	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.5497	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.6341	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.5871	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.4896	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.3744	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.5236	LR: 0.020000
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Training Epoch: 28 [36352/47500]	Loss: 0.4882	LR: 0.020000
Training Epoch: 28 [36608/47500]	Loss: 0.6139	LR: 0.020000
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Training Epoch: 28 [37120/47500]	Loss: 0.5409	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.5630	LR: 0.020000
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Training Epoch: 28 [37888/47500]	Loss: 0.5138	LR: 0.020000
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Training Epoch: 28 [38656/47500]	Loss: 0.5387	LR: 0.020000
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Training Epoch: 28 [39424/47500]	Loss: 0.5069	LR: 0.020000
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Training Epoch: 28 [40192/47500]	Loss: 0.5826	LR: 0.020000
Training Epoch: 28 [40448/47500]	Loss: 0.5889	LR: 0.020000
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Training Epoch: 28 [40960/47500]	Loss: 0.5616	LR: 0.020000
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Training Epoch: 28 [41728/47500]	Loss: 0.6279	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.5103	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.5859	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.5280	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.4894	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.4821	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.4295	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.5032	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.4918	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.5034	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.4809	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.5554	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.5138	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.5722	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.5946	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.7034	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.5205	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.4809	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.5358	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.5036	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.5606	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.5170	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.5629	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5185, Train Accuracy: 0.8322
Epoch 28 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0037, Accuracy: 0.7328, Time consumed:0.86s
Training Epoch: 29 [256/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.5329	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.5025	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.5090	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.4796	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.4316	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.4484	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.4578	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.4805	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.4796	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.4215	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.4987	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.4713	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.5128	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.3694	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.3783	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.4800	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.3953	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.5790	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.5185	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.3991	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.4593	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.5187	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.5104	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.6424	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.5051	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.4864	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.5598	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.4985	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.4710	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.4998	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.4852	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.4808	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.5764	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.5528	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.5291	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.5492	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.4487	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.4688	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.5297	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.4938	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.4911	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.5475	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.6111	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.3772	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.4954	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.5582	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.5840	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.5498	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.3981	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.4414	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.5064	LR: 0.020000
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Training Epoch: 29 [14080/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 29 [14336/47500]	Loss: 0.4706	LR: 0.020000
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Training Epoch: 29 [14848/47500]	Loss: 0.5159	LR: 0.020000
Training Epoch: 29 [15104/47500]	Loss: 0.4022	LR: 0.020000
Training Epoch: 29 [15360/47500]	Loss: 0.5594	LR: 0.020000
Training Epoch: 29 [15616/47500]	Loss: 0.4172	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.5031	LR: 0.020000
Training Epoch: 29 [16128/47500]	Loss: 0.5497	LR: 0.020000
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Training Epoch: 29 [16896/47500]	Loss: 0.5165	LR: 0.020000
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Training Epoch: 29 [18688/47500]	Loss: 0.5361	LR: 0.020000
Training Epoch: 29 [18944/47500]	Loss: 0.4879	LR: 0.020000
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Training Epoch: 29 [19968/47500]	Loss: 0.5778	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.6113	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.4876	LR: 0.020000
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Training Epoch: 29 [22016/47500]	Loss: 0.5481	LR: 0.020000
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Training Epoch: 29 [22784/47500]	Loss: 0.4695	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.4518	LR: 0.020000
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Training Epoch: 29 [24832/47500]	Loss: 0.4604	LR: 0.020000
Training Epoch: 29 [25088/47500]	Loss: 0.5103	LR: 0.020000
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Training Epoch: 29 [25600/47500]	Loss: 0.5367	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.4613	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.4883	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.4325	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.5436	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.4631	LR: 0.020000
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Training Epoch: 29 [27392/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.5593	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.5651	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.5609	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.4736	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.5273	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.4848	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.5179	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.5048	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.4639	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.5681	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.4779	LR: 0.020000
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Training Epoch: 29 [31744/47500]	Loss: 0.5497	LR: 0.020000
Training Epoch: 29 [32000/47500]	Loss: 0.5632	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.5287	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.5002	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.4972	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.5099	LR: 0.020000
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Training Epoch: 29 [34816/47500]	Loss: 0.5328	LR: 0.020000
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Training Epoch: 29 [35584/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.4954	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.5387	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.5642	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.5534	LR: 0.020000
Training Epoch: 29 [36864/47500]	Loss: 0.5636	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.4807	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.5479	LR: 0.020000
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Training Epoch: 29 [37888/47500]	Loss: 0.5259	LR: 0.020000
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Training Epoch: 29 [38400/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 29 [38656/47500]	Loss: 0.5399	LR: 0.020000
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Training Epoch: 29 [39424/47500]	Loss: 0.5555	LR: 0.020000
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Training Epoch: 29 [39936/47500]	Loss: 0.5120	LR: 0.020000
Training Epoch: 29 [40192/47500]	Loss: 0.4242	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.4853	LR: 0.020000
Training Epoch: 29 [40704/47500]	Loss: 0.5221	LR: 0.020000
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Training Epoch: 29 [41472/47500]	Loss: 0.4096	LR: 0.020000
Training Epoch: 29 [41728/47500]	Loss: 0.5106	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.6251	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.5418	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.5487	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.5530	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.5256	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.5262	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.5177	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.6532	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.5144	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.5214	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.6136	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.4749	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.5321	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.5441	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.4065	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.6140	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.4934	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.6030	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5057, Train Accuracy: 0.8353
Epoch 29 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0035, Accuracy: 0.7492, Time consumed:0.88s
Training Epoch: 30 [256/47500]	Loss: 0.4427	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.4435	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.4698	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.4523	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.4644	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.3706	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.4829	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.3365	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.5556	LR: 0.004000
Training Epoch: 30 [2560/47500]	Loss: 0.4208	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.3686	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3907, Train Accuracy: 0.8777
Epoch 30 training time consumed: 25.81s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0029, Accuracy: 0.7828, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.3069	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.4033	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.4437	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3519, Train Accuracy: 0.8916
Epoch 31 training time consumed: 25.87s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0029, Accuracy: 0.7851, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.3788	LR: 0.004000
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Training Epoch: 32 [46592/47500]	Loss: 0.3524	LR: 0.004000
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Training Epoch: 32 [47500/47500]	Loss: 0.3623	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3409, Train Accuracy: 0.8948
Epoch 32 training time consumed: 25.81s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0029, Accuracy: 0.7838, Time consumed:0.90s
Training Epoch: 33 [256/47500]	Loss: 0.3897	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.3561	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.3704	LR: 0.004000
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Training Epoch: 33 [5120/47500]	Loss: 0.3639	LR: 0.004000
Training Epoch: 33 [5376/47500]	Loss: 0.3293	LR: 0.004000
Training Epoch: 33 [5632/47500]	Loss: 0.2526	LR: 0.004000
Training Epoch: 33 [5888/47500]	Loss: 0.3808	LR: 0.004000
Training Epoch: 33 [6144/47500]	Loss: 0.3048	LR: 0.004000
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Training Epoch: 33 [6656/47500]	Loss: 0.3322	LR: 0.004000
Training Epoch: 33 [6912/47500]	Loss: 0.3372	LR: 0.004000
Training Epoch: 33 [7168/47500]	Loss: 0.3383	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.3461	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.3836	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.3610	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.3307	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.3359	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.2831	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.4063	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.3517	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.3530	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.2875	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.3248	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.3519	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.3224	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.2639	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.3328	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.3484	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.3191	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.3540	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.2668	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.3734	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.2848	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.2983	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.3124	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.3913	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.3399	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.3206	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.3393	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.3225	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.2997	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.3529	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.2705	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.3676	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.2871	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.3000	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.3582	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.3619	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.3216	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.3827	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.2940	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.3665	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.3023	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.3377	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.4037	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.3328	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.4170	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.3672	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.3075	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.3221	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.3174	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.2487	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.3437	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.2870	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.2920	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.3082	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.3040	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.3073	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.2996	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.3032	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.3102	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.3543	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.3397	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.3914	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.3569	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.3499	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.2857	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.3258	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.2693	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.3425	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.3251	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.3214	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.3290	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.3160	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.3704	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.2873	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.3631	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.3616	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.3316	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.3833	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.3597	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.2686	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.3577	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.3663	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.4412	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.3443	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.2616	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.3299	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.3091	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.4088	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.3225	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.2738	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.3376	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.2906	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.3068	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.3599	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.3014	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.3704	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.3367	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.4207	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.2565	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.2755	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.2955	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.2470	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.3323	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.3346	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.3649	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.3239	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.3409	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.3651	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.3713	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.3213	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.3381	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.2837	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.3136	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.3592	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.2983	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.3143	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.2539	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.3590	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.3668	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.3368	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.3112	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.2897	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.3504	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.3737	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.3345	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.3838	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.3112	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.4145	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.3148	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.4156	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.3113	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.3974	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.3439	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.3210	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.2981	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.2900	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.3124	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.3437	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.2874	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.3699	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.3642	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.2438	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.3483	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.3293	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.2863	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.3555	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.2883	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.2595	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.3442	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.2562	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.3084	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.3440	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.2961	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.4242	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.2522	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3316, Train Accuracy: 0.8989
Epoch 33 training time consumed: 25.84s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0029, Accuracy: 0.7845, Time consumed:0.92s
Training Epoch: 34 [256/47500]	Loss: 0.3319	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.3765	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.3087	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.3358	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.3084	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.2998	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.2074	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.2328	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.2479	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.2643	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.3095	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.2994	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.4117	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.2906	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.3005	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.3069	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.3328	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.2660	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.2970	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.3345	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.3035	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.2917	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.3079	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.3140	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.2772	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.3361	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.3159	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.3251	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.2796	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.3386	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.3119	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.3340	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.2855	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.3018	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.2844	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.3362	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.2713	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.3440	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.3216	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.2645	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.3371	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.3439	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.3361	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.3139	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.2773	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.3650	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.3195	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.2493	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.2927	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.3200	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.3243	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.3544	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.3243	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.4113	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.3439	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.3406	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.3486	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.2656	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.2999	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.4041	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.3206	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.2686	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.3651	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.3014	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.3420	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.2617	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.3348	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.3169	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.3930	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.2610	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.2776	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.3219	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.2629	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.3453	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.3386	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.2993	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.2992	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.2823	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.3820	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.3526	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.2918	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.3260	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.2589	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.2581	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.2991	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.3701	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.2886	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.3208	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.2232	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.3607	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.3419	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.3236	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.2917	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.2510	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.3591	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.3179	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.3328	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.2729	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.3361	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.2818	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.3464	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.3295	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.3579	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.3235	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.3463	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.2762	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.2726	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.4168	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.3243	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.2956	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.3380	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.3501	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.3000	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.2796	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.3242	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.2979	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.3161	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.3562	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.2847	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.3592	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.3227	LR: 0.004000
Training Epoch: 34 [31488/47500]	Loss: 0.2977	LR: 0.004000
Training Epoch: 34 [31744/47500]	Loss: 0.2884	LR: 0.004000
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Training Epoch: 34 [42240/47500]	Loss: 0.2600	LR: 0.004000
Training Epoch: 34 [42496/47500]	Loss: 0.3535	LR: 0.004000
Training Epoch: 34 [42752/47500]	Loss: 0.3384	LR: 0.004000
Training Epoch: 34 [43008/47500]	Loss: 0.2536	LR: 0.004000
Training Epoch: 34 [43264/47500]	Loss: 0.3294	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.2490	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.3587	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.2645	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.4023	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.3651	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.3462	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.2871	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.2676	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.3380	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.3256	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.3020	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.3264	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.3682	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.3604	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.3216	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.2715	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.2724	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3168, Train Accuracy: 0.9041
Epoch 34 training time consumed: 25.89s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0029, Accuracy: 0.7843, Time consumed:0.90s
Training Epoch: 35 [256/47500]	Loss: 0.2325	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.3570	LR: 0.000800
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Training Epoch: 35 [1024/47500]	Loss: 0.3338	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.2530	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.3102	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.2868	LR: 0.000800
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Training Epoch: 35 [5120/47500]	Loss: 0.3076	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.3076	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.3409	LR: 0.000800
Training Epoch: 35 [6400/47500]	Loss: 0.3197	LR: 0.000800
Training Epoch: 35 [6656/47500]	Loss: 0.2740	LR: 0.000800
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Training Epoch: 35 [7168/47500]	Loss: 0.3318	LR: 0.000800
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Training Epoch: 35 [7680/47500]	Loss: 0.3635	LR: 0.000800
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Training Epoch: 35 [8448/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 35 [8704/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 35 [8960/47500]	Loss: 0.3095	LR: 0.000800
Training Epoch: 35 [9216/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 35 [9472/47500]	Loss: 0.3211	LR: 0.000800
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Training Epoch: 35 [12288/47500]	Loss: 0.3178	LR: 0.000800
Training Epoch: 35 [12544/47500]	Loss: 0.2318	LR: 0.000800
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Training Epoch: 35 [15872/47500]	Loss: 0.3168	LR: 0.000800
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Training Epoch: 35 [16640/47500]	Loss: 0.2768	LR: 0.000800
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Training Epoch: 35 [44800/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.2536	LR: 0.000800
Training Epoch: 35 [45312/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 35 [45568/47500]	Loss: 0.3317	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.3752	LR: 0.000800
Training Epoch: 35 [46080/47500]	Loss: 0.2384	LR: 0.000800
Training Epoch: 35 [46336/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.3646	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.2488	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.2373	LR: 0.000800
Epoch 35 - Average Train Loss: 0.2962, Train Accuracy: 0.9109
Epoch 35 training time consumed: 25.74s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7884, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_04m_04s/AllCNN-Cifar20-seed1-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.2377	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.3254	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 36 [2048/47500]	Loss: 0.3277	LR: 0.000800
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Training Epoch: 36 [2816/47500]	Loss: 0.2496	LR: 0.000800
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Training Epoch: 36 [8448/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 36 [8704/47500]	Loss: 0.3333	LR: 0.000800
Training Epoch: 36 [8960/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 36 [9216/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 36 [9472/47500]	Loss: 0.2967	LR: 0.000800
Training Epoch: 36 [9728/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 36 [9984/47500]	Loss: 0.2276	LR: 0.000800
Training Epoch: 36 [10240/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 36 [10496/47500]	Loss: 0.2768	LR: 0.000800
Training Epoch: 36 [10752/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 36 [11008/47500]	Loss: 0.2389	LR: 0.000800
Training Epoch: 36 [11264/47500]	Loss: 0.3752	LR: 0.000800
Training Epoch: 36 [11520/47500]	Loss: 0.2475	LR: 0.000800
Training Epoch: 36 [11776/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 36 [12032/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 36 [12288/47500]	Loss: 0.2442	LR: 0.000800
Training Epoch: 36 [12544/47500]	Loss: 0.3787	LR: 0.000800
Training Epoch: 36 [12800/47500]	Loss: 0.3148	LR: 0.000800
Training Epoch: 36 [13056/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 36 [13312/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 36 [13568/47500]	Loss: 0.2392	LR: 0.000800
Training Epoch: 36 [13824/47500]	Loss: 0.2140	LR: 0.000800
Training Epoch: 36 [14080/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 36 [14336/47500]	Loss: 0.2593	LR: 0.000800
Training Epoch: 36 [14592/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 36 [14848/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 36 [15104/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 36 [15360/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 36 [15616/47500]	Loss: 0.3174	LR: 0.000800
Training Epoch: 36 [15872/47500]	Loss: 0.2500	LR: 0.000800
Training Epoch: 36 [16128/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 36 [16384/47500]	Loss: 0.3177	LR: 0.000800
Training Epoch: 36 [16640/47500]	Loss: 0.3271	LR: 0.000800
Training Epoch: 36 [16896/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 36 [17152/47500]	Loss: 0.2663	LR: 0.000800
Training Epoch: 36 [17408/47500]	Loss: 0.3144	LR: 0.000800
Training Epoch: 36 [17664/47500]	Loss: 0.2452	LR: 0.000800
Training Epoch: 36 [17920/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 36 [18176/47500]	Loss: 0.3231	LR: 0.000800
Training Epoch: 36 [18432/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 36 [18688/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 36 [18944/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 36 [19200/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 36 [19456/47500]	Loss: 0.2959	LR: 0.000800
Training Epoch: 36 [19712/47500]	Loss: 0.3139	LR: 0.000800
Training Epoch: 36 [19968/47500]	Loss: 0.3243	LR: 0.000800
Training Epoch: 36 [20224/47500]	Loss: 0.2339	LR: 0.000800
Training Epoch: 36 [20480/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 36 [20736/47500]	Loss: 0.2634	LR: 0.000800
Training Epoch: 36 [20992/47500]	Loss: 0.3068	LR: 0.000800
Training Epoch: 36 [21248/47500]	Loss: 0.3032	LR: 0.000800
Training Epoch: 36 [21504/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 36 [21760/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 36 [22016/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 36 [22272/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 36 [22528/47500]	Loss: 0.3108	LR: 0.000800
Training Epoch: 36 [22784/47500]	Loss: 0.3391	LR: 0.000800
Training Epoch: 36 [23040/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 36 [23296/47500]	Loss: 0.2663	LR: 0.000800
Training Epoch: 36 [23552/47500]	Loss: 0.2389	LR: 0.000800
Training Epoch: 36 [23808/47500]	Loss: 0.3595	LR: 0.000800
Training Epoch: 36 [24064/47500]	Loss: 0.2799	LR: 0.000800
Training Epoch: 36 [24320/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 36 [24576/47500]	Loss: 0.2552	LR: 0.000800
Training Epoch: 36 [24832/47500]	Loss: 0.3425	LR: 0.000800
Training Epoch: 36 [25088/47500]	Loss: 0.2479	LR: 0.000800
Training Epoch: 36 [25344/47500]	Loss: 0.3558	LR: 0.000800
Training Epoch: 36 [25600/47500]	Loss: 0.2538	LR: 0.000800
Training Epoch: 36 [25856/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 36 [26112/47500]	Loss: 0.2240	LR: 0.000800
Training Epoch: 36 [26368/47500]	Loss: 0.3409	LR: 0.000800
Training Epoch: 36 [26624/47500]	Loss: 0.2412	LR: 0.000800
Training Epoch: 36 [26880/47500]	Loss: 0.2438	LR: 0.000800
Training Epoch: 36 [27136/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 36 [27392/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 36 [27648/47500]	Loss: 0.3494	LR: 0.000800
Training Epoch: 36 [27904/47500]	Loss: 0.2205	LR: 0.000800
Training Epoch: 36 [28160/47500]	Loss: 0.3357	LR: 0.000800
Training Epoch: 36 [28416/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 36 [28672/47500]	Loss: 0.3330	LR: 0.000800
Training Epoch: 36 [28928/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 36 [29184/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 36 [29440/47500]	Loss: 0.3342	LR: 0.000800
Training Epoch: 36 [29696/47500]	Loss: 0.3372	LR: 0.000800
Training Epoch: 36 [29952/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 36 [30208/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 36 [30464/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 36 [30720/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 36 [30976/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 36 [31232/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 36 [31488/47500]	Loss: 0.3384	LR: 0.000800
Training Epoch: 36 [31744/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 36 [32000/47500]	Loss: 0.2978	LR: 0.000800
Training Epoch: 36 [32256/47500]	Loss: 0.2506	LR: 0.000800
Training Epoch: 36 [32512/47500]	Loss: 0.2899	LR: 0.000800
Training Epoch: 36 [32768/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 36 [33024/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 36 [33280/47500]	Loss: 0.2701	LR: 0.000800
Training Epoch: 36 [33536/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 36 [33792/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 36 [34048/47500]	Loss: 0.3195	LR: 0.000800
Training Epoch: 36 [34304/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 36 [34560/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 36 [34816/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 36 [35072/47500]	Loss: 0.2400	LR: 0.000800
Training Epoch: 36 [35328/47500]	Loss: 0.3160	LR: 0.000800
Training Epoch: 36 [35584/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 36 [35840/47500]	Loss: 0.3424	LR: 0.000800
Training Epoch: 36 [36096/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 36 [36352/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 36 [36608/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 36 [36864/47500]	Loss: 0.3244	LR: 0.000800
Training Epoch: 36 [37120/47500]	Loss: 0.2597	LR: 0.000800
Training Epoch: 36 [37376/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 36 [37632/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 36 [37888/47500]	Loss: 0.2384	LR: 0.000800
Training Epoch: 36 [38144/47500]	Loss: 0.3049	LR: 0.000800
Training Epoch: 36 [38400/47500]	Loss: 0.3241	LR: 0.000800
Training Epoch: 36 [38656/47500]	Loss: 0.2370	LR: 0.000800
Training Epoch: 36 [38912/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 36 [39168/47500]	Loss: 0.3518	LR: 0.000800
Training Epoch: 36 [39424/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 36 [39680/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 36 [39936/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 36 [40192/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 36 [40448/47500]	Loss: 0.2938	LR: 0.000800
Training Epoch: 36 [40704/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 36 [40960/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 36 [41216/47500]	Loss: 0.3207	LR: 0.000800
Training Epoch: 36 [41472/47500]	Loss: 0.2462	LR: 0.000800
Training Epoch: 36 [41728/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 36 [41984/47500]	Loss: 0.3167	LR: 0.000800
Training Epoch: 36 [42240/47500]	Loss: 0.3333	LR: 0.000800
Training Epoch: 36 [42496/47500]	Loss: 0.2994	LR: 0.000800
Training Epoch: 36 [42752/47500]	Loss: 0.2317	LR: 0.000800
Training Epoch: 36 [43008/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 36 [43264/47500]	Loss: 0.3475	LR: 0.000800
Training Epoch: 36 [43520/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 36 [43776/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 36 [44032/47500]	Loss: 0.3761	LR: 0.000800
Training Epoch: 36 [44288/47500]	Loss: 0.3355	LR: 0.000800
Training Epoch: 36 [44544/47500]	Loss: 0.3226	LR: 0.000800
Training Epoch: 36 [44800/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 36 [45056/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 36 [45312/47500]	Loss: 0.3250	LR: 0.000800
Training Epoch: 36 [45568/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 36 [45824/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 36 [46080/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 36 [46336/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 36 [46592/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 36 [46848/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 36 [47104/47500]	Loss: 0.2382	LR: 0.000800
Training Epoch: 36 [47360/47500]	Loss: 0.2203	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.2466	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2887, Train Accuracy: 0.9124
Epoch 36 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.7880, Time consumed:0.92s
Training Epoch: 37 [256/47500]	Loss: 0.3372	LR: 0.000800
Training Epoch: 37 [512/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 37 [768/47500]	Loss: 0.3127	LR: 0.000800
Training Epoch: 37 [1024/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 37 [1280/47500]	Loss: 0.2438	LR: 0.000800
Training Epoch: 37 [1536/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 37 [1792/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 37 [2048/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 37 [2304/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 37 [2560/47500]	Loss: 0.2483	LR: 0.000800
Training Epoch: 37 [2816/47500]	Loss: 0.2354	LR: 0.000800
Training Epoch: 37 [3072/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 37 [3328/47500]	Loss: 0.2963	LR: 0.000800
Training Epoch: 37 [3584/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 37 [3840/47500]	Loss: 0.2955	LR: 0.000800
Training Epoch: 37 [4096/47500]	Loss: 0.3334	LR: 0.000800
Training Epoch: 37 [4352/47500]	Loss: 0.2536	LR: 0.000800
Training Epoch: 37 [4608/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 37 [4864/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 37 [5120/47500]	Loss: 0.2320	LR: 0.000800
Training Epoch: 37 [5376/47500]	Loss: 0.3263	LR: 0.000800
Training Epoch: 37 [5632/47500]	Loss: 0.3606	LR: 0.000800
Training Epoch: 37 [5888/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 37 [6144/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 37 [6400/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 37 [6656/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 37 [6912/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 37 [7168/47500]	Loss: 0.2918	LR: 0.000800
Training Epoch: 37 [7424/47500]	Loss: 0.2421	LR: 0.000800
Training Epoch: 37 [7680/47500]	Loss: 0.2546	LR: 0.000800
Training Epoch: 37 [7936/47500]	Loss: 0.3829	LR: 0.000800
Training Epoch: 37 [8192/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 37 [8448/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 37 [8704/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 37 [8960/47500]	Loss: 0.2921	LR: 0.000800
Training Epoch: 37 [9216/47500]	Loss: 0.2425	LR: 0.000800
Training Epoch: 37 [9472/47500]	Loss: 0.3414	LR: 0.000800
Training Epoch: 37 [9728/47500]	Loss: 0.3714	LR: 0.000800
Training Epoch: 37 [9984/47500]	Loss: 0.3375	LR: 0.000800
Training Epoch: 37 [10240/47500]	Loss: 0.3200	LR: 0.000800
Training Epoch: 37 [10496/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 37 [10752/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 37 [11008/47500]	Loss: 0.2247	LR: 0.000800
Training Epoch: 37 [11264/47500]	Loss: 0.3247	LR: 0.000800
Training Epoch: 37 [11520/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 37 [11776/47500]	Loss: 0.2281	LR: 0.000800
Training Epoch: 37 [12032/47500]	Loss: 0.2954	LR: 0.000800
Training Epoch: 37 [12288/47500]	Loss: 0.2559	LR: 0.000800
Training Epoch: 37 [12544/47500]	Loss: 0.2357	LR: 0.000800
Training Epoch: 37 [12800/47500]	Loss: 0.3075	LR: 0.000800
Training Epoch: 37 [13056/47500]	Loss: 0.2586	LR: 0.000800
Training Epoch: 37 [13312/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 37 [13568/47500]	Loss: 0.3661	LR: 0.000800
Training Epoch: 37 [13824/47500]	Loss: 0.2386	LR: 0.000800
Training Epoch: 37 [14080/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 37 [14336/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 37 [14592/47500]	Loss: 0.2633	LR: 0.000800
Training Epoch: 37 [14848/47500]	Loss: 0.3315	LR: 0.000800
Training Epoch: 37 [15104/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 37 [15360/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 37 [15616/47500]	Loss: 0.2511	LR: 0.000800
Training Epoch: 37 [15872/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 37 [16128/47500]	Loss: 0.2422	LR: 0.000800
Training Epoch: 37 [16384/47500]	Loss: 0.2885	LR: 0.000800
Training Epoch: 37 [16640/47500]	Loss: 0.2597	LR: 0.000800
Training Epoch: 37 [16896/47500]	Loss: 0.3669	LR: 0.000800
Training Epoch: 37 [17152/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 37 [17408/47500]	Loss: 0.3199	LR: 0.000800
Training Epoch: 37 [17664/47500]	Loss: 0.3138	LR: 0.000800
Training Epoch: 37 [17920/47500]	Loss: 0.2343	LR: 0.000800
Training Epoch: 37 [18176/47500]	Loss: 0.3329	LR: 0.000800
Training Epoch: 37 [18432/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 37 [18688/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 37 [18944/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 37 [19200/47500]	Loss: 0.3282	LR: 0.000800
Training Epoch: 37 [19456/47500]	Loss: 0.2809	LR: 0.000800
Training Epoch: 37 [19712/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 37 [19968/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 37 [20224/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 37 [20480/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 37 [20736/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 37 [20992/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 37 [21248/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 37 [21504/47500]	Loss: 0.2444	LR: 0.000800
Training Epoch: 37 [21760/47500]	Loss: 0.2595	LR: 0.000800
Training Epoch: 37 [22016/47500]	Loss: 0.3229	LR: 0.000800
Training Epoch: 37 [22272/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 37 [22528/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 37 [22784/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 37 [23040/47500]	Loss: 0.2408	LR: 0.000800
Training Epoch: 37 [23296/47500]	Loss: 0.2258	LR: 0.000800
Training Epoch: 37 [23552/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 37 [23808/47500]	Loss: 0.3049	LR: 0.000800
Training Epoch: 37 [24064/47500]	Loss: 0.3434	LR: 0.000800
Training Epoch: 37 [24320/47500]	Loss: 0.3245	LR: 0.000800
Training Epoch: 37 [24576/47500]	Loss: 0.2916	LR: 0.000800
Training Epoch: 37 [24832/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 37 [25088/47500]	Loss: 0.3190	LR: 0.000800
Training Epoch: 37 [25344/47500]	Loss: 0.3254	LR: 0.000800
Training Epoch: 37 [25600/47500]	Loss: 0.3397	LR: 0.000800
Training Epoch: 37 [25856/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 37 [26112/47500]	Loss: 0.3410	LR: 0.000800
Training Epoch: 37 [26368/47500]	Loss: 0.2807	LR: 0.000800
Training Epoch: 37 [26624/47500]	Loss: 0.3287	LR: 0.000800
Training Epoch: 37 [26880/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 37 [27136/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 37 [27392/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 37 [27648/47500]	Loss: 0.2344	LR: 0.000800
Training Epoch: 37 [27904/47500]	Loss: 0.3085	LR: 0.000800
Training Epoch: 37 [28160/47500]	Loss: 0.2558	LR: 0.000800
Training Epoch: 37 [28416/47500]	Loss: 0.2428	LR: 0.000800
Training Epoch: 37 [28672/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 37 [28928/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 37 [29184/47500]	Loss: 0.2409	LR: 0.000800
Training Epoch: 37 [29440/47500]	Loss: 0.2978	LR: 0.000800
Training Epoch: 37 [29696/47500]	Loss: 0.2588	LR: 0.000800
Training Epoch: 37 [29952/47500]	Loss: 0.2583	LR: 0.000800
Training Epoch: 37 [30208/47500]	Loss: 0.2820	LR: 0.000800
Training Epoch: 37 [30464/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 37 [30720/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 37 [30976/47500]	Loss: 0.2470	LR: 0.000800
Training Epoch: 37 [31232/47500]	Loss: 0.3348	LR: 0.000800
Training Epoch: 37 [31488/47500]	Loss: 0.3131	LR: 0.000800
Training Epoch: 37 [31744/47500]	Loss: 0.2953	LR: 0.000800
Training Epoch: 37 [32000/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 37 [32256/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 37 [32512/47500]	Loss: 0.3736	LR: 0.000800
Training Epoch: 37 [32768/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 37 [33024/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 37 [33280/47500]	Loss: 0.2800	LR: 0.000800
Training Epoch: 37 [33536/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 37 [34048/47500]	Loss: 0.3247	LR: 0.000800
Training Epoch: 37 [34304/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 37 [34560/47500]	Loss: 0.3358	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.2671	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.3244	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.3530	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.2725	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.3469	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.2221	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.2598	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.1953	LR: 0.000800
Training Epoch: 37 [38912/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 37 [39168/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.3394	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.2299	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.3076	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.2136	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.2831	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.3754	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.2496	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.3218	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.2310	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.2249	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.3362	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.2942	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.2930	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.3516	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.2474	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.2901	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2866, Train Accuracy: 0.9145
Epoch 37 training time consumed: 26.19s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.7873, Time consumed:0.91s
Training Epoch: 38 [256/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.2304	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.2432	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.3922	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.2532	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.2245	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.2477	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.2300	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.2916	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.3127	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.2656	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.2360	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.3249	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.3414	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 38 [8960/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 38 [9216/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 38 [9472/47500]	Loss: 0.3514	LR: 0.000800
Training Epoch: 38 [9728/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.2801	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.2296	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 38 [10752/47500]	Loss: 0.2576	LR: 0.000800
Training Epoch: 38 [11008/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 38 [11264/47500]	Loss: 0.3264	LR: 0.000800
Training Epoch: 38 [11520/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 38 [11776/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.3633	LR: 0.000800
Training Epoch: 38 [12544/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 38 [12800/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 38 [13056/47500]	Loss: 0.2980	LR: 0.000800
Training Epoch: 38 [13312/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 38 [13568/47500]	Loss: 0.3127	LR: 0.000800
Training Epoch: 38 [13824/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 38 [14080/47500]	Loss: 0.2968	LR: 0.000800
Training Epoch: 38 [14336/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 38 [14592/47500]	Loss: 0.3550	LR: 0.000800
Training Epoch: 38 [14848/47500]	Loss: 0.2355	LR: 0.000800
Training Epoch: 38 [15104/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 38 [15360/47500]	Loss: 0.3194	LR: 0.000800
Training Epoch: 38 [15616/47500]	Loss: 0.3131	LR: 0.000800
Training Epoch: 38 [15872/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 38 [16128/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 38 [16384/47500]	Loss: 0.2905	LR: 0.000800
Training Epoch: 38 [16640/47500]	Loss: 0.2613	LR: 0.000800
Training Epoch: 38 [16896/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 38 [17152/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 38 [17408/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 38 [17664/47500]	Loss: 0.3095	LR: 0.000800
Training Epoch: 38 [17920/47500]	Loss: 0.2522	LR: 0.000800
Training Epoch: 38 [18176/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 38 [18432/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 38 [18688/47500]	Loss: 0.3288	LR: 0.000800
Training Epoch: 38 [18944/47500]	Loss: 0.3519	LR: 0.000800
Training Epoch: 38 [19200/47500]	Loss: 0.2176	LR: 0.000800
Training Epoch: 38 [19456/47500]	Loss: 0.2403	LR: 0.000800
Training Epoch: 38 [19712/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 38 [19968/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 38 [20224/47500]	Loss: 0.2583	LR: 0.000800
Training Epoch: 38 [20480/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 38 [20736/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 38 [20992/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 38 [21248/47500]	Loss: 0.2231	LR: 0.000800
Training Epoch: 38 [21504/47500]	Loss: 0.3342	LR: 0.000800
Training Epoch: 38 [21760/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 38 [22016/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 38 [22272/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 38 [22528/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 38 [22784/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 38 [23040/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 38 [23296/47500]	Loss: 0.2577	LR: 0.000800
Training Epoch: 38 [23552/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 38 [23808/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 38 [24064/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 38 [24320/47500]	Loss: 0.3636	LR: 0.000800
Training Epoch: 38 [24576/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 38 [24832/47500]	Loss: 0.2156	LR: 0.000800
Training Epoch: 38 [25088/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 38 [25344/47500]	Loss: 0.3284	LR: 0.000800
Training Epoch: 38 [25600/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 38 [25856/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 38 [26112/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 38 [26368/47500]	Loss: 0.3180	LR: 0.000800
Training Epoch: 38 [26624/47500]	Loss: 0.3236	LR: 0.000800
Training Epoch: 38 [26880/47500]	Loss: 0.2685	LR: 0.000800
Training Epoch: 38 [27136/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 38 [27392/47500]	Loss: 0.2589	LR: 0.000800
Training Epoch: 38 [27648/47500]	Loss: 0.2350	LR: 0.000800
Training Epoch: 38 [27904/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 38 [28160/47500]	Loss: 0.2062	LR: 0.000800
Training Epoch: 38 [28416/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 38 [28672/47500]	Loss: 0.2354	LR: 0.000800
Training Epoch: 38 [28928/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 38 [29184/47500]	Loss: 0.2220	LR: 0.000800
Training Epoch: 38 [29440/47500]	Loss: 0.3662	LR: 0.000800
Training Epoch: 38 [29696/47500]	Loss: 0.2216	LR: 0.000800
Training Epoch: 38 [29952/47500]	Loss: 0.3264	LR: 0.000800
Training Epoch: 38 [30208/47500]	Loss: 0.2322	LR: 0.000800
Training Epoch: 38 [30464/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 38 [30720/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 38 [30976/47500]	Loss: 0.1912	LR: 0.000800
Training Epoch: 38 [31232/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 38 [31488/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 38 [31744/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 38 [32000/47500]	Loss: 0.2287	LR: 0.000800
Training Epoch: 38 [32256/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 38 [32512/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 38 [32768/47500]	Loss: 0.2772	LR: 0.000800
Training Epoch: 38 [33024/47500]	Loss: 0.2381	LR: 0.000800
Training Epoch: 38 [33280/47500]	Loss: 0.2973	LR: 0.000800
Training Epoch: 38 [33536/47500]	Loss: 0.3416	LR: 0.000800
Training Epoch: 38 [33792/47500]	Loss: 0.2483	LR: 0.000800
Training Epoch: 38 [34048/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 38 [34304/47500]	Loss: 0.3400	LR: 0.000800
Training Epoch: 38 [34560/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 38 [34816/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 38 [35072/47500]	Loss: 0.2541	LR: 0.000800
Training Epoch: 38 [35328/47500]	Loss: 0.3363	LR: 0.000800
Training Epoch: 38 [35584/47500]	Loss: 0.3020	LR: 0.000800
Training Epoch: 38 [35840/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 38 [36096/47500]	Loss: 0.3338	LR: 0.000800
Training Epoch: 38 [36352/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 38 [36608/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 38 [36864/47500]	Loss: 0.2852	LR: 0.000800
Training Epoch: 38 [37120/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 38 [37888/47500]	Loss: 0.2865	LR: 0.000800
Training Epoch: 38 [38144/47500]	Loss: 0.2134	LR: 0.000800
Training Epoch: 38 [38400/47500]	Loss: 0.3807	LR: 0.000800
Training Epoch: 38 [38656/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 38 [38912/47500]	Loss: 0.3207	LR: 0.000800
Training Epoch: 38 [39168/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 38 [39424/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 38 [39680/47500]	Loss: 0.2551	LR: 0.000800
Training Epoch: 38 [39936/47500]	Loss: 0.2567	LR: 0.000800
Training Epoch: 38 [40192/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 38 [40448/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 38 [40704/47500]	Loss: 0.3283	LR: 0.000800
Training Epoch: 38 [40960/47500]	Loss: 0.2671	LR: 0.000800
Training Epoch: 38 [41216/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 38 [41472/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 38 [41728/47500]	Loss: 0.2970	LR: 0.000800
Training Epoch: 38 [41984/47500]	Loss: 0.2585	LR: 0.000800
Training Epoch: 38 [42240/47500]	Loss: 0.3253	LR: 0.000800
Training Epoch: 38 [42496/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 38 [42752/47500]	Loss: 0.2335	LR: 0.000800
Training Epoch: 38 [43008/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 38 [43264/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.3325	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.3279	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.2563	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.3441	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.3255	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.2541	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.2473	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.2420	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.2254	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.3542	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.2260	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.3217	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2843, Train Accuracy: 0.9157
Epoch 38 training time consumed: 25.76s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7882, Time consumed:0.87s
Training Epoch: 39 [256/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.3056	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.2978	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.2434	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.3097	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.3278	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.2408	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 39 [2816/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 39 [3072/47500]	Loss: 0.3454	LR: 0.000800
Training Epoch: 39 [3328/47500]	Loss: 0.2047	LR: 0.000800
Training Epoch: 39 [3584/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 39 [3840/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 39 [4096/47500]	Loss: 0.2243	LR: 0.000800
Training Epoch: 39 [4352/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 39 [4608/47500]	Loss: 0.2330	LR: 0.000800
Training Epoch: 39 [4864/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 39 [5120/47500]	Loss: 0.2402	LR: 0.000800
Training Epoch: 39 [5376/47500]	Loss: 0.3133	LR: 0.000800
Training Epoch: 39 [5632/47500]	Loss: 0.2269	LR: 0.000800
Training Epoch: 39 [5888/47500]	Loss: 0.2344	LR: 0.000800
Training Epoch: 39 [6144/47500]	Loss: 0.2201	LR: 0.000800
Training Epoch: 39 [6400/47500]	Loss: 0.3361	LR: 0.000800
Training Epoch: 39 [6656/47500]	Loss: 0.2585	LR: 0.000800
Training Epoch: 39 [6912/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 39 [7168/47500]	Loss: 0.2552	LR: 0.000800
Training Epoch: 39 [7424/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 39 [7680/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 39 [7936/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 39 [8192/47500]	Loss: 0.2285	LR: 0.000800
Training Epoch: 39 [8448/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 39 [8704/47500]	Loss: 0.2285	LR: 0.000800
Training Epoch: 39 [8960/47500]	Loss: 0.2836	LR: 0.000800
Training Epoch: 39 [9216/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 39 [9472/47500]	Loss: 0.2742	LR: 0.000800
Training Epoch: 39 [9728/47500]	Loss: 0.2480	LR: 0.000800
Training Epoch: 39 [9984/47500]	Loss: 0.2504	LR: 0.000800
Training Epoch: 39 [10240/47500]	Loss: 0.3035	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.3514	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 39 [11520/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.2100	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.3716	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.3218	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.3583	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.3292	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.2778	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.2524	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.3137	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.3028	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.2339	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.2115	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.2197	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.2028	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.2372	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.2558	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.2864	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.2590	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.3203	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.3049	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.3175	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.2258	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.2973	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.3096	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.2293	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.2955	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.3979	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.2364	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.2862	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.2254	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.2433	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.3247	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.3425	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.3418	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.3407	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.2883	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.3512	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.3228	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.2554	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.3273	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.3011	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.2471	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.3095	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.2415	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.2496	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.3241	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.2363	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.2730	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.2453	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.2834	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.3018	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.2343	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.3324	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.2247	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.3444	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.2196	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.3109	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.3347	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.3079	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.3472	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.3455	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.2508	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.2740	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.2976	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.2513	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.2353	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.3272	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.2392	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2809, Train Accuracy: 0.9156
Epoch 39 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7872, Time consumed:0.87s
Training Epoch: 40 [256/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.2607	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.2460	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.3318	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.2224	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.2819	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.3370	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.2711	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.3038	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.2729	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.2408	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.3467	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.2356	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.3041	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.2014	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.2611	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.3099	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.2345	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.2312	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.2168	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.2763	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.2273	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.2259	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.3152	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.3803	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.3449	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.2937	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.3706	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.2221	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.3407	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.3481	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.3311	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.3088	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.2039	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.3236	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.3067	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.2802	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.2066	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.2346	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.2769	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.2233	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.3320	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.2777	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.2316	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.3122	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.2804	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.3183	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.2338	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.3651	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.2460	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.2581	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.2485	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.2286	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.3564	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.3280	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.2425	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.3921	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.2675	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.2672	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.3281	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.2675	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.2883	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.3054	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.2575	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.3351	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.3076	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.2655	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.2556	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.3166	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.1757	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.3565	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.2799	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.2449	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.3449	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.2405	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.2196	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.2792	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.3038	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.2448	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.3641	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.2525	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.2637	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.3448	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.3292	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.2078	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.2638	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.1992	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.2145	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.3404	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.2342	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.3311	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.2542	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.1892	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.2522	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.1800	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.2401	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.2942	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.2696	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.2826	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.2305	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.2966	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.3254	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.3432	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.2511	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.2540	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.2748	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2794, Train Accuracy: 0.9166
Epoch 40 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.7871, Time consumed:0.95s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 78.623046875
Retain Accuracy: 92.38641357421875
Zero-Retain Forget (ZRF): 0.913698136806488
Membership Inference Attack (MIA): 0.5392
Forget vs Retain Membership Inference Attack (MIA): 0.54
Forget vs Test Membership Inference Attack (MIA): 0.543
Test vs Retain Membership Inference Attack (MIA): 0.52075
Train vs Test Membership Inference Attack (MIA): 0.5675
Forget Set Accuracy (Df): 76.75701904296875
Method Execution Time: 1570.38 seconds
