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

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

📊 Updated class distribution:
Retain set:
  Class 0: 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: 3.0242	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.0250	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.0139	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0129	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0110	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 2.9962	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9974	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9868	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9725	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9352	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9393	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9173	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9009	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.9108	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8741	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8743	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8450	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.8007	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8165	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.7279	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.8146	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.8097	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.7370	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7868	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7476	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.8567	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.7641	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.7740	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.7750	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.6418	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.7032	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.7424	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.6786	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.7072	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.6877	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.6922	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.6374	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.6961	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.6098	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.7169	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.6556	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.6898	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.5967	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.6603	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.6155	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.6006	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.6358	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.5734	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.6164	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.5646	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.6162	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.5008	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.5382	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.5130	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.5093	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.4857	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5140	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.6216	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.5702	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.5862	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.4696	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.5121	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.5113	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.4379	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.5383	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.4931	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.5633	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.5844	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.5236	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.5715	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.5389	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.4623	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.4553	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.5001	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.4797	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.4839	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.4594	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.5300	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.4073	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.3718	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.4364	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.4966	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.3594	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.4733	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.5000	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.5453	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.3722	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.3787	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.3472	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.5136	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.5287	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.3353	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.4356	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.3290	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.4310	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.4835	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.4153	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.5299	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4046	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.4669	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.4499	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.5224	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.4691	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.4931	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.4288	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.4435	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.4976	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.4759	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.4084	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.5519	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.4299	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.4632	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.3747	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.4384	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.4355	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.3628	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.3596	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.3230	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.3898	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.4342	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.3231	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.4775	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.3952	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.2844	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.2739	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.4420	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.3537	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.4792	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.4175	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.2795	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.3761	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.3482	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.3366	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.4149	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.2321	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.4592	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.3777	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.3857	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.3390	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.3989	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.4327	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.2617	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.3056	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.3815	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.3070	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.5078	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.3561	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.4399	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.4561	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.3095	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.3041	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.3288	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.3419	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.4795	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.3440	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.2652	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.3443	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.2569	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.4634	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.3448	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.3002	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.3144	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.2726	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.2578	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.3425	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.2072	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.3147	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.2634	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.3241	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3244	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.4813	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.2435	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3127	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.2327	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.3034	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.2931	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.2211	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.4204	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.3635	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.1906	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.3712	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.2913	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.3351	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.2373	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.2197	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.1228	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5087, Train Accuracy: 0.2254
Epoch 1 training time consumed: 26.49s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0099, Accuracy: 0.2510, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.4379	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.2607	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.3777	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1549, Train Accuracy: 0.3308
Epoch 2 training time consumed: 25.75s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0095, Accuracy: 0.3076, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.8629	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9157, Train Accuracy: 0.3997
Epoch 3 training time consumed: 26.03s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0073, Accuracy: 0.4281, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.8067	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.7360, Train Accuracy: 0.4530
Epoch 4 training time consumed: 25.97s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0072, Accuracy: 0.4342, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.6556	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5796, Train Accuracy: 0.4993
Epoch 5 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0069, Accuracy: 0.4575, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.3716	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4556, Train Accuracy: 0.5382
Epoch 6 training time consumed: 25.88s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0059, Accuracy: 0.5330, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.3483	LR: 0.100000
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Epoch 7 - Average Train Loss: 1.3431, Train Accuracy: 0.5720
Epoch 7 training time consumed: 25.76s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0063, Accuracy: 0.5308, Time consumed:1.01s
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Epoch 8 - Average Train Loss: 1.2656, Train Accuracy: 0.5928
Epoch 8 training time consumed: 25.84s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0062, Accuracy: 0.5347, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 1.1730	LR: 0.100000
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Training Epoch: 9 [47500/47500]	Loss: 1.1142	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2046, Train Accuracy: 0.6138
Epoch 9 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0056, Accuracy: 0.5681, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-9-best.pth
Training Epoch: 10 [256/47500]	Loss: 1.0647	LR: 0.100000
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Training Epoch: 10 [47500/47500]	Loss: 0.9957	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1419, Train Accuracy: 0.6356
Epoch 10 training time consumed: 25.89s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0058, Accuracy: 0.5584, Time consumed:0.92s
Training Epoch: 11 [256/47500]	Loss: 1.1286	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 1.2605	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1118, Train Accuracy: 0.6431
Epoch 11 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0051, Accuracy: 0.6062, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.9781	LR: 0.100000
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Training Epoch: 12 [47500/47500]	Loss: 1.0287	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0726, Train Accuracy: 0.6567
Epoch 12 training time consumed: 26.00s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0055, Accuracy: 0.5717, Time consumed:0.96s
Training Epoch: 13 [256/47500]	Loss: 0.9196	LR: 0.100000
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Epoch 13 - Average Train Loss: 1.0322, Train Accuracy: 0.6689
Epoch 13 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0048, Accuracy: 0.6296, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 0.9824	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0090, Train Accuracy: 0.6761
Epoch 14 training time consumed: 26.08s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0051, Accuracy: 0.6103, Time consumed:0.96s
Training Epoch: 15 [256/47500]	Loss: 0.7896	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.7859	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7758, Train Accuracy: 0.7528
Epoch 15 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.7261, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.7420	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.6956	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7055, Train Accuracy: 0.7755
Epoch 16 training time consumed: 26.03s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0034, Accuracy: 0.7365, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.7630	LR: 0.020000
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Training Epoch: 17 [47500/47500]	Loss: 0.6535	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6685, Train Accuracy: 0.7866
Epoch 17 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0034, Accuracy: 0.7400, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.5414	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.7967	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6442, Train Accuracy: 0.7937
Epoch 18 training time consumed: 25.90s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0033, Accuracy: 0.7402, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.5462	LR: 0.020000
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Training Epoch: 19 [47500/47500]	Loss: 0.6965	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6281, Train Accuracy: 0.7965
Epoch 19 training time consumed: 26.13s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0033, Accuracy: 0.7434, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.5686	LR: 0.020000
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Training Epoch: 20 [39168/47500]	Loss: 0.5384	LR: 0.020000
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Training Epoch: 20 [39680/47500]	Loss: 0.6012	LR: 0.020000
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Training Epoch: 20 [40192/47500]	Loss: 0.6392	LR: 0.020000
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Training Epoch: 20 [41984/47500]	Loss: 0.6029	LR: 0.020000
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Training Epoch: 20 [42496/47500]	Loss: 0.6359	LR: 0.020000
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Training Epoch: 20 [43008/47500]	Loss: 0.5715	LR: 0.020000
Training Epoch: 20 [43264/47500]	Loss: 0.5475	LR: 0.020000
Training Epoch: 20 [43520/47500]	Loss: 0.6326	LR: 0.020000
Training Epoch: 20 [43776/47500]	Loss: 0.6104	LR: 0.020000
Training Epoch: 20 [44032/47500]	Loss: 0.5684	LR: 0.020000
Training Epoch: 20 [44288/47500]	Loss: 0.6236	LR: 0.020000
Training Epoch: 20 [44544/47500]	Loss: 0.5523	LR: 0.020000
Training Epoch: 20 [44800/47500]	Loss: 0.6916	LR: 0.020000
Training Epoch: 20 [45056/47500]	Loss: 0.6798	LR: 0.020000
Training Epoch: 20 [45312/47500]	Loss: 0.5522	LR: 0.020000
Training Epoch: 20 [45568/47500]	Loss: 0.5963	LR: 0.020000
Training Epoch: 20 [45824/47500]	Loss: 0.5838	LR: 0.020000
Training Epoch: 20 [46080/47500]	Loss: 0.6072	LR: 0.020000
Training Epoch: 20 [46336/47500]	Loss: 0.6518	LR: 0.020000
Training Epoch: 20 [46592/47500]	Loss: 0.5924	LR: 0.020000
Training Epoch: 20 [46848/47500]	Loss: 0.6504	LR: 0.020000
Training Epoch: 20 [47104/47500]	Loss: 0.6004	LR: 0.020000
Training Epoch: 20 [47360/47500]	Loss: 0.6667	LR: 0.020000
Training Epoch: 20 [47500/47500]	Loss: 0.6643	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6100, Train Accuracy: 0.8034
Epoch 20 training time consumed: 25.86s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0034, Accuracy: 0.7405, Time consumed:0.92s
Training Epoch: 21 [256/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 21 [512/47500]	Loss: 0.6248	LR: 0.020000
Training Epoch: 21 [768/47500]	Loss: 0.5054	LR: 0.020000
Training Epoch: 21 [1024/47500]	Loss: 0.6179	LR: 0.020000
Training Epoch: 21 [1280/47500]	Loss: 0.6298	LR: 0.020000
Training Epoch: 21 [1536/47500]	Loss: 0.5925	LR: 0.020000
Training Epoch: 21 [1792/47500]	Loss: 0.5597	LR: 0.020000
Training Epoch: 21 [2048/47500]	Loss: 0.6493	LR: 0.020000
Training Epoch: 21 [2304/47500]	Loss: 0.5927	LR: 0.020000
Training Epoch: 21 [2560/47500]	Loss: 0.5077	LR: 0.020000
Training Epoch: 21 [2816/47500]	Loss: 0.5458	LR: 0.020000
Training Epoch: 21 [3072/47500]	Loss: 0.6394	LR: 0.020000
Training Epoch: 21 [3328/47500]	Loss: 0.6891	LR: 0.020000
Training Epoch: 21 [3584/47500]	Loss: 0.6607	LR: 0.020000
Training Epoch: 21 [3840/47500]	Loss: 0.6236	LR: 0.020000
Training Epoch: 21 [4096/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 21 [4352/47500]	Loss: 0.5653	LR: 0.020000
Training Epoch: 21 [4608/47500]	Loss: 0.4931	LR: 0.020000
Training Epoch: 21 [4864/47500]	Loss: 0.5451	LR: 0.020000
Training Epoch: 21 [5120/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 21 [5376/47500]	Loss: 0.5920	LR: 0.020000
Training Epoch: 21 [5632/47500]	Loss: 0.6084	LR: 0.020000
Training Epoch: 21 [5888/47500]	Loss: 0.5422	LR: 0.020000
Training Epoch: 21 [6144/47500]	Loss: 0.5662	LR: 0.020000
Training Epoch: 21 [6400/47500]	Loss: 0.5732	LR: 0.020000
Training Epoch: 21 [6656/47500]	Loss: 0.5580	LR: 0.020000
Training Epoch: 21 [6912/47500]	Loss: 0.5528	LR: 0.020000
Training Epoch: 21 [7168/47500]	Loss: 0.5884	LR: 0.020000
Training Epoch: 21 [7424/47500]	Loss: 0.6188	LR: 0.020000
Training Epoch: 21 [7680/47500]	Loss: 0.5900	LR: 0.020000
Training Epoch: 21 [7936/47500]	Loss: 0.5724	LR: 0.020000
Training Epoch: 21 [8192/47500]	Loss: 0.6476	LR: 0.020000
Training Epoch: 21 [8448/47500]	Loss: 0.5361	LR: 0.020000
Training Epoch: 21 [8704/47500]	Loss: 0.6203	LR: 0.020000
Training Epoch: 21 [8960/47500]	Loss: 0.6162	LR: 0.020000
Training Epoch: 21 [9216/47500]	Loss: 0.6087	LR: 0.020000
Training Epoch: 21 [9472/47500]	Loss: 0.5705	LR: 0.020000
Training Epoch: 21 [9728/47500]	Loss: 0.6092	LR: 0.020000
Training Epoch: 21 [9984/47500]	Loss: 0.5678	LR: 0.020000
Training Epoch: 21 [10240/47500]	Loss: 0.4919	LR: 0.020000
Training Epoch: 21 [10496/47500]	Loss: 0.6624	LR: 0.020000
Training Epoch: 21 [10752/47500]	Loss: 0.5457	LR: 0.020000
Training Epoch: 21 [11008/47500]	Loss: 0.6239	LR: 0.020000
Training Epoch: 21 [11264/47500]	Loss: 0.5762	LR: 0.020000
Training Epoch: 21 [11520/47500]	Loss: 0.5632	LR: 0.020000
Training Epoch: 21 [11776/47500]	Loss: 0.4913	LR: 0.020000
Training Epoch: 21 [12032/47500]	Loss: 0.6008	LR: 0.020000
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Training Epoch: 21 [13056/47500]	Loss: 0.6375	LR: 0.020000
Training Epoch: 21 [13312/47500]	Loss: 0.4385	LR: 0.020000
Training Epoch: 21 [13568/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 21 [13824/47500]	Loss: 0.6083	LR: 0.020000
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Training Epoch: 21 [15616/47500]	Loss: 0.5535	LR: 0.020000
Training Epoch: 21 [15872/47500]	Loss: 0.5776	LR: 0.020000
Training Epoch: 21 [16128/47500]	Loss: 0.5865	LR: 0.020000
Training Epoch: 21 [16384/47500]	Loss: 0.6025	LR: 0.020000
Training Epoch: 21 [16640/47500]	Loss: 0.6454	LR: 0.020000
Training Epoch: 21 [16896/47500]	Loss: 0.6230	LR: 0.020000
Training Epoch: 21 [17152/47500]	Loss: 0.5601	LR: 0.020000
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Training Epoch: 21 [22016/47500]	Loss: 0.7063	LR: 0.020000
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Training Epoch: 21 [28416/47500]	Loss: 0.7359	LR: 0.020000
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Training Epoch: 21 [37888/47500]	Loss: 0.6314	LR: 0.020000
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Training Epoch: 21 [39424/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 21 [39680/47500]	Loss: 0.6463	LR: 0.020000
Training Epoch: 21 [39936/47500]	Loss: 0.6695	LR: 0.020000
Training Epoch: 21 [40192/47500]	Loss: 0.6090	LR: 0.020000
Training Epoch: 21 [40448/47500]	Loss: 0.5525	LR: 0.020000
Training Epoch: 21 [40704/47500]	Loss: 0.6309	LR: 0.020000
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Training Epoch: 21 [41728/47500]	Loss: 0.6789	LR: 0.020000
Training Epoch: 21 [41984/47500]	Loss: 0.6070	LR: 0.020000
Training Epoch: 21 [42240/47500]	Loss: 0.5056	LR: 0.020000
Training Epoch: 21 [42496/47500]	Loss: 0.6502	LR: 0.020000
Training Epoch: 21 [42752/47500]	Loss: 0.5986	LR: 0.020000
Training Epoch: 21 [43008/47500]	Loss: 0.5018	LR: 0.020000
Training Epoch: 21 [43264/47500]	Loss: 0.6228	LR: 0.020000
Training Epoch: 21 [43520/47500]	Loss: 0.7078	LR: 0.020000
Training Epoch: 21 [43776/47500]	Loss: 0.6258	LR: 0.020000
Training Epoch: 21 [44032/47500]	Loss: 0.6757	LR: 0.020000
Training Epoch: 21 [44288/47500]	Loss: 0.5834	LR: 0.020000
Training Epoch: 21 [44544/47500]	Loss: 0.6066	LR: 0.020000
Training Epoch: 21 [44800/47500]	Loss: 0.4752	LR: 0.020000
Training Epoch: 21 [45056/47500]	Loss: 0.6113	LR: 0.020000
Training Epoch: 21 [45312/47500]	Loss: 0.6832	LR: 0.020000
Training Epoch: 21 [45568/47500]	Loss: 0.6734	LR: 0.020000
Training Epoch: 21 [45824/47500]	Loss: 0.6705	LR: 0.020000
Training Epoch: 21 [46080/47500]	Loss: 0.6706	LR: 0.020000
Training Epoch: 21 [46336/47500]	Loss: 0.6198	LR: 0.020000
Training Epoch: 21 [46592/47500]	Loss: 0.5802	LR: 0.020000
Training Epoch: 21 [46848/47500]	Loss: 0.5563	LR: 0.020000
Training Epoch: 21 [47104/47500]	Loss: 0.5890	LR: 0.020000
Training Epoch: 21 [47360/47500]	Loss: 0.5627	LR: 0.020000
Training Epoch: 21 [47500/47500]	Loss: 0.6416	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5921, Train Accuracy: 0.8086
Epoch 21 training time consumed: 25.87s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0036, Accuracy: 0.7253, Time consumed:0.88s
Training Epoch: 22 [256/47500]	Loss: 0.6382	LR: 0.020000
Training Epoch: 22 [512/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 22 [768/47500]	Loss: 0.5013	LR: 0.020000
Training Epoch: 22 [1024/47500]	Loss: 0.6965	LR: 0.020000
Training Epoch: 22 [1280/47500]	Loss: 0.5852	LR: 0.020000
Training Epoch: 22 [1536/47500]	Loss: 0.6245	LR: 0.020000
Training Epoch: 22 [1792/47500]	Loss: 0.5578	LR: 0.020000
Training Epoch: 22 [2048/47500]	Loss: 0.4894	LR: 0.020000
Training Epoch: 22 [2304/47500]	Loss: 0.5240	LR: 0.020000
Training Epoch: 22 [2560/47500]	Loss: 0.4604	LR: 0.020000
Training Epoch: 22 [2816/47500]	Loss: 0.5548	LR: 0.020000
Training Epoch: 22 [3072/47500]	Loss: 0.6647	LR: 0.020000
Training Epoch: 22 [3328/47500]	Loss: 0.5549	LR: 0.020000
Training Epoch: 22 [3584/47500]	Loss: 0.5914	LR: 0.020000
Training Epoch: 22 [3840/47500]	Loss: 0.6047	LR: 0.020000
Training Epoch: 22 [4096/47500]	Loss: 0.5935	LR: 0.020000
Training Epoch: 22 [4352/47500]	Loss: 0.5441	LR: 0.020000
Training Epoch: 22 [4608/47500]	Loss: 0.5104	LR: 0.020000
Training Epoch: 22 [4864/47500]	Loss: 0.4275	LR: 0.020000
Training Epoch: 22 [5120/47500]	Loss: 0.5791	LR: 0.020000
Training Epoch: 22 [5376/47500]	Loss: 0.5404	LR: 0.020000
Training Epoch: 22 [5632/47500]	Loss: 0.5538	LR: 0.020000
Training Epoch: 22 [5888/47500]	Loss: 0.6057	LR: 0.020000
Training Epoch: 22 [6144/47500]	Loss: 0.5042	LR: 0.020000
Training Epoch: 22 [6400/47500]	Loss: 0.5529	LR: 0.020000
Training Epoch: 22 [6656/47500]	Loss: 0.5365	LR: 0.020000
Training Epoch: 22 [6912/47500]	Loss: 0.6035	LR: 0.020000
Training Epoch: 22 [7168/47500]	Loss: 0.6477	LR: 0.020000
Training Epoch: 22 [7424/47500]	Loss: 0.5720	LR: 0.020000
Training Epoch: 22 [7680/47500]	Loss: 0.5528	LR: 0.020000
Training Epoch: 22 [7936/47500]	Loss: 0.6611	LR: 0.020000
Training Epoch: 22 [8192/47500]	Loss: 0.6407	LR: 0.020000
Training Epoch: 22 [8448/47500]	Loss: 0.5118	LR: 0.020000
Training Epoch: 22 [8704/47500]	Loss: 0.6255	LR: 0.020000
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Training Epoch: 22 [9984/47500]	Loss: 0.5703	LR: 0.020000
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Training Epoch: 22 [10496/47500]	Loss: 0.5658	LR: 0.020000
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Training Epoch: 22 [11008/47500]	Loss: 0.6696	LR: 0.020000
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Training Epoch: 22 [11776/47500]	Loss: 0.7417	LR: 0.020000
Training Epoch: 22 [12032/47500]	Loss: 0.5630	LR: 0.020000
Training Epoch: 22 [12288/47500]	Loss: 0.6960	LR: 0.020000
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Training Epoch: 22 [13056/47500]	Loss: 0.5463	LR: 0.020000
Training Epoch: 22 [13312/47500]	Loss: 0.5413	LR: 0.020000
Training Epoch: 22 [13568/47500]	Loss: 0.6389	LR: 0.020000
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Training Epoch: 22 [14080/47500]	Loss: 0.6341	LR: 0.020000
Training Epoch: 22 [14336/47500]	Loss: 0.4662	LR: 0.020000
Training Epoch: 22 [14592/47500]	Loss: 0.5604	LR: 0.020000
Training Epoch: 22 [14848/47500]	Loss: 0.5540	LR: 0.020000
Training Epoch: 22 [15104/47500]	Loss: 0.6108	LR: 0.020000
Training Epoch: 22 [15360/47500]	Loss: 0.6332	LR: 0.020000
Training Epoch: 22 [15616/47500]	Loss: 0.5361	LR: 0.020000
Training Epoch: 22 [15872/47500]	Loss: 0.5203	LR: 0.020000
Training Epoch: 22 [16128/47500]	Loss: 0.4577	LR: 0.020000
Training Epoch: 22 [16384/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 22 [16640/47500]	Loss: 0.6042	LR: 0.020000
Training Epoch: 22 [16896/47500]	Loss: 0.5509	LR: 0.020000
Training Epoch: 22 [17152/47500]	Loss: 0.5909	LR: 0.020000
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Training Epoch: 22 [20736/47500]	Loss: 0.5479	LR: 0.020000
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Training Epoch: 22 [22016/47500]	Loss: 0.5175	LR: 0.020000
Training Epoch: 22 [22272/47500]	Loss: 0.6446	LR: 0.020000
Training Epoch: 22 [22528/47500]	Loss: 0.5861	LR: 0.020000
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Training Epoch: 22 [23808/47500]	Loss: 0.6728	LR: 0.020000
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Training Epoch: 22 [27904/47500]	Loss: 0.6216	LR: 0.020000
Training Epoch: 22 [28160/47500]	Loss: 0.5288	LR: 0.020000
Training Epoch: 22 [28416/47500]	Loss: 0.6106	LR: 0.020000
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Training Epoch: 22 [29440/47500]	Loss: 0.6137	LR: 0.020000
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Training Epoch: 22 [29952/47500]	Loss: 0.5933	LR: 0.020000
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Training Epoch: 22 [30720/47500]	Loss: 0.6390	LR: 0.020000
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Training Epoch: 22 [31232/47500]	Loss: 0.5654	LR: 0.020000
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Training Epoch: 22 [31744/47500]	Loss: 0.4734	LR: 0.020000
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Training Epoch: 22 [32256/47500]	Loss: 0.7241	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.5649	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.5396	LR: 0.020000
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Training Epoch: 22 [35072/47500]	Loss: 0.6114	LR: 0.020000
Training Epoch: 22 [35328/47500]	Loss: 0.5642	LR: 0.020000
Training Epoch: 22 [35584/47500]	Loss: 0.6825	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.6223	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.6547	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.7115	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.5421	LR: 0.020000
Training Epoch: 22 [36864/47500]	Loss: 0.4903	LR: 0.020000
Training Epoch: 22 [37120/47500]	Loss: 0.6505	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.5656	LR: 0.020000
Training Epoch: 22 [37632/47500]	Loss: 0.7295	LR: 0.020000
Training Epoch: 22 [37888/47500]	Loss: 0.5353	LR: 0.020000
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Training Epoch: 22 [38656/47500]	Loss: 0.6888	LR: 0.020000
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Training Epoch: 22 [39168/47500]	Loss: 0.5667	LR: 0.020000
Training Epoch: 22 [39424/47500]	Loss: 0.6218	LR: 0.020000
Training Epoch: 22 [39680/47500]	Loss: 0.6748	LR: 0.020000
Training Epoch: 22 [39936/47500]	Loss: 0.5184	LR: 0.020000
Training Epoch: 22 [40192/47500]	Loss: 0.4867	LR: 0.020000
Training Epoch: 22 [40448/47500]	Loss: 0.6030	LR: 0.020000
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Training Epoch: 22 [40960/47500]	Loss: 0.6691	LR: 0.020000
Training Epoch: 22 [41216/47500]	Loss: 0.6858	LR: 0.020000
Training Epoch: 22 [41472/47500]	Loss: 0.7148	LR: 0.020000
Training Epoch: 22 [41728/47500]	Loss: 0.5744	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.5523	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.7007	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.6503	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.5158	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.5242	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.5770	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.5882	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.6273	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.5349	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.5737	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.5251	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.4609	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.6168	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.6543	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.7086	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.5168	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.5636	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.5594	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.6731	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.5111	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.6215	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5827, Train Accuracy: 0.8123
Epoch 22 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0036, Accuracy: 0.7330, Time consumed:0.86s
Training Epoch: 23 [256/47500]	Loss: 0.5560	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.6534	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.5294	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.4453	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.5241	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.6874	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.5343	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.5068	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.5234	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.6477	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.5533	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.6195	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.5190	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.4894	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.5278	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.5300	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.5026	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.4454	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.4795	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.6178	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.6213	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.6211	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.4924	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.4392	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.5930	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.6521	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.5627	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.5435	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.5558	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.6925	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.5046	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.5567	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.4854	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.5674	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.6407	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.6243	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.5506	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.5593	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.6382	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.7034	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.4893	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.5200	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.5816	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.5283	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.6220	LR: 0.020000
Training Epoch: 23 [12800/47500]	Loss: 0.6082	LR: 0.020000
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Training Epoch: 23 [13312/47500]	Loss: 0.5657	LR: 0.020000
Training Epoch: 23 [13568/47500]	Loss: 0.4882	LR: 0.020000
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Training Epoch: 23 [15616/47500]	Loss: 0.6219	LR: 0.020000
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Training Epoch: 23 [16896/47500]	Loss: 0.4897	LR: 0.020000
Training Epoch: 23 [17152/47500]	Loss: 0.5556	LR: 0.020000
Training Epoch: 23 [17408/47500]	Loss: 0.5977	LR: 0.020000
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Training Epoch: 23 [17920/47500]	Loss: 0.5255	LR: 0.020000
Training Epoch: 23 [18176/47500]	Loss: 0.5557	LR: 0.020000
Training Epoch: 23 [18432/47500]	Loss: 0.6493	LR: 0.020000
Training Epoch: 23 [18688/47500]	Loss: 0.4620	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.4385	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.6436	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.5267	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.6353	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.5550	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.5343	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.5489	LR: 0.020000
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Training Epoch: 23 [22016/47500]	Loss: 0.5936	LR: 0.020000
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Training Epoch: 23 [22528/47500]	Loss: 0.4779	LR: 0.020000
Training Epoch: 23 [22784/47500]	Loss: 0.4853	LR: 0.020000
Training Epoch: 23 [23040/47500]	Loss: 0.6823	LR: 0.020000
Training Epoch: 23 [23296/47500]	Loss: 0.5344	LR: 0.020000
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Training Epoch: 23 [24576/47500]	Loss: 0.6080	LR: 0.020000
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Training Epoch: 23 [26368/47500]	Loss: 0.4855	LR: 0.020000
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Training Epoch: 23 [37888/47500]	Loss: 0.5943	LR: 0.020000
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Training Epoch: 23 [41216/47500]	Loss: 0.6711	LR: 0.020000
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Training Epoch: 23 [43008/47500]	Loss: 0.5917	LR: 0.020000
Training Epoch: 23 [43264/47500]	Loss: 0.5732	LR: 0.020000
Training Epoch: 23 [43520/47500]	Loss: 0.5157	LR: 0.020000
Training Epoch: 23 [43776/47500]	Loss: 0.5612	LR: 0.020000
Training Epoch: 23 [44032/47500]	Loss: 0.6503	LR: 0.020000
Training Epoch: 23 [44288/47500]	Loss: 0.6135	LR: 0.020000
Training Epoch: 23 [44544/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.6042	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.4644	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.6362	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.6691	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.6907	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.5662	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.5188	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.6286	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.5420	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.5557	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.6017	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.7234	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5687, Train Accuracy: 0.8150
Epoch 23 training time consumed: 25.91s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0038, Accuracy: 0.7180, Time consumed:0.90s
Training Epoch: 24 [256/47500]	Loss: 0.5167	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.6576	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.5692	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.5672	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.5154	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.4219	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.5295	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.5473	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.5550	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.6387	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.5172	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.4680	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.5487	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.5208	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.5062	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.5770	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.4326	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.4950	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.6115	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.5710	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.7033	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.5510	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.5017	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.5948	LR: 0.020000
Training Epoch: 24 [6912/47500]	Loss: 0.4426	LR: 0.020000
Training Epoch: 24 [7168/47500]	Loss: 0.4368	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.5287	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.4859	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.5590	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.5164	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.6464	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.4446	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.5442	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.6474	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.5133	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.5779	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.6413	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.4859	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.5385	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.5467	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.5311	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.4431	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.4353	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.4567	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.5451	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.5646	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.4711	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.5894	LR: 0.020000
Training Epoch: 24 [13056/47500]	Loss: 0.4754	LR: 0.020000
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Training Epoch: 24 [14080/47500]	Loss: 0.6860	LR: 0.020000
Training Epoch: 24 [14336/47500]	Loss: 0.5991	LR: 0.020000
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Training Epoch: 24 [15104/47500]	Loss: 0.6275	LR: 0.020000
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Training Epoch: 24 [15616/47500]	Loss: 0.6142	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.6300	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.5436	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.5581	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.5610	LR: 0.020000
Training Epoch: 24 [17152/47500]	Loss: 0.5814	LR: 0.020000
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Training Epoch: 24 [17664/47500]	Loss: 0.5558	LR: 0.020000
Training Epoch: 24 [17920/47500]	Loss: 0.6647	LR: 0.020000
Training Epoch: 24 [18176/47500]	Loss: 0.5489	LR: 0.020000
Training Epoch: 24 [18432/47500]	Loss: 0.5661	LR: 0.020000
Training Epoch: 24 [18688/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 24 [18944/47500]	Loss: 0.5301	LR: 0.020000
Training Epoch: 24 [19200/47500]	Loss: 0.5035	LR: 0.020000
Training Epoch: 24 [19456/47500]	Loss: 0.4262	LR: 0.020000
Training Epoch: 24 [19712/47500]	Loss: 0.5560	LR: 0.020000
Training Epoch: 24 [19968/47500]	Loss: 0.5148	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.5220	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.6181	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.6059	LR: 0.020000
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Training Epoch: 24 [22016/47500]	Loss: 0.4813	LR: 0.020000
Training Epoch: 24 [22272/47500]	Loss: 0.5572	LR: 0.020000
Training Epoch: 24 [22528/47500]	Loss: 0.7208	LR: 0.020000
Training Epoch: 24 [22784/47500]	Loss: 0.5232	LR: 0.020000
Training Epoch: 24 [23040/47500]	Loss: 0.5678	LR: 0.020000
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Training Epoch: 24 [35584/47500]	Loss: 0.6574	LR: 0.020000
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Training Epoch: 24 [40192/47500]	Loss: 0.4620	LR: 0.020000
Training Epoch: 24 [40448/47500]	Loss: 0.5531	LR: 0.020000
Training Epoch: 24 [40704/47500]	Loss: 0.5328	LR: 0.020000
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Training Epoch: 24 [41728/47500]	Loss: 0.6120	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.6428	LR: 0.020000
Training Epoch: 24 [42240/47500]	Loss: 0.5161	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 24 [42752/47500]	Loss: 0.5493	LR: 0.020000
Training Epoch: 24 [43008/47500]	Loss: 0.6041	LR: 0.020000
Training Epoch: 24 [43264/47500]	Loss: 0.6915	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.5661	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.5724	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.6188	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.6188	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.5682	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.5472	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.4945	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.7197	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.7077	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.5650	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.5498	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.5959	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.6602	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.5303	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.4908	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.6698	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5592, Train Accuracy: 0.8199
Epoch 24 training time consumed: 25.81s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0034, Accuracy: 0.7401, Time consumed:0.88s
Training Epoch: 25 [256/47500]	Loss: 0.5708	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.6074	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.6264	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.4713	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.5623	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.5166	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.4635	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.4229	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.5261	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.4876	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.4034	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.4978	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.3913	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.6041	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.5571	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.5492	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.4640	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.5107	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.4361	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.5418	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.4635	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.5448	LR: 0.020000
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Training Epoch: 25 [7168/47500]	Loss: 0.6202	LR: 0.020000
Training Epoch: 25 [7424/47500]	Loss: 0.5580	LR: 0.020000
Training Epoch: 25 [7680/47500]	Loss: 0.6035	LR: 0.020000
Training Epoch: 25 [7936/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 25 [8192/47500]	Loss: 0.5176	LR: 0.020000
Training Epoch: 25 [8448/47500]	Loss: 0.5904	LR: 0.020000
Training Epoch: 25 [8704/47500]	Loss: 0.5584	LR: 0.020000
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Training Epoch: 25 [10240/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 25 [10496/47500]	Loss: 0.5175	LR: 0.020000
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Training Epoch: 25 [11008/47500]	Loss: 0.4634	LR: 0.020000
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Training Epoch: 25 [11520/47500]	Loss: 0.5328	LR: 0.020000
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Training Epoch: 25 [13568/47500]	Loss: 0.5950	LR: 0.020000
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Training Epoch: 25 [14336/47500]	Loss: 0.5116	LR: 0.020000
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Training Epoch: 25 [15104/47500]	Loss: 0.6280	LR: 0.020000
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Training Epoch: 25 [15616/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 25 [15872/47500]	Loss: 0.4732	LR: 0.020000
Training Epoch: 25 [16128/47500]	Loss: 0.3963	LR: 0.020000
Training Epoch: 25 [16384/47500]	Loss: 0.4449	LR: 0.020000
Training Epoch: 25 [16640/47500]	Loss: 0.5722	LR: 0.020000
Training Epoch: 25 [16896/47500]	Loss: 0.4578	LR: 0.020000
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Training Epoch: 25 [18176/47500]	Loss: 0.4720	LR: 0.020000
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Training Epoch: 25 [18944/47500]	Loss: 0.6434	LR: 0.020000
Training Epoch: 25 [19200/47500]	Loss: 0.5477	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.5397	LR: 0.020000
Training Epoch: 25 [19712/47500]	Loss: 0.6089	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.5220	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.5691	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.6490	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.6184	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.5729	LR: 0.020000
Training Epoch: 25 [21248/47500]	Loss: 0.5912	LR: 0.020000
Training Epoch: 25 [21504/47500]	Loss: 0.4628	LR: 0.020000
Training Epoch: 25 [21760/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 25 [22016/47500]	Loss: 0.5220	LR: 0.020000
Training Epoch: 25 [22272/47500]	Loss: 0.5545	LR: 0.020000
Training Epoch: 25 [22528/47500]	Loss: 0.4779	LR: 0.020000
Training Epoch: 25 [22784/47500]	Loss: 0.4861	LR: 0.020000
Training Epoch: 25 [23040/47500]	Loss: 0.5791	LR: 0.020000
Training Epoch: 25 [23296/47500]	Loss: 0.5191	LR: 0.020000
Training Epoch: 25 [23552/47500]	Loss: 0.5358	LR: 0.020000
Training Epoch: 25 [23808/47500]	Loss: 0.5614	LR: 0.020000
Training Epoch: 25 [24064/47500]	Loss: 0.5156	LR: 0.020000
Training Epoch: 25 [24320/47500]	Loss: 0.5544	LR: 0.020000
Training Epoch: 25 [24576/47500]	Loss: 0.4843	LR: 0.020000
Training Epoch: 25 [24832/47500]	Loss: 0.5547	LR: 0.020000
Training Epoch: 25 [25088/47500]	Loss: 0.5836	LR: 0.020000
Training Epoch: 25 [25344/47500]	Loss: 0.6838	LR: 0.020000
Training Epoch: 25 [25600/47500]	Loss: 0.5318	LR: 0.020000
Training Epoch: 25 [25856/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 25 [26112/47500]	Loss: 0.6015	LR: 0.020000
Training Epoch: 25 [26368/47500]	Loss: 0.5501	LR: 0.020000
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Training Epoch: 25 [26880/47500]	Loss: 0.5926	LR: 0.020000
Training Epoch: 25 [27136/47500]	Loss: 0.5918	LR: 0.020000
Training Epoch: 25 [27392/47500]	Loss: 0.6484	LR: 0.020000
Training Epoch: 25 [27648/47500]	Loss: 0.5589	LR: 0.020000
Training Epoch: 25 [27904/47500]	Loss: 0.6095	LR: 0.020000
Training Epoch: 25 [28160/47500]	Loss: 0.6599	LR: 0.020000
Training Epoch: 25 [28416/47500]	Loss: 0.5347	LR: 0.020000
Training Epoch: 25 [28672/47500]	Loss: 0.5783	LR: 0.020000
Training Epoch: 25 [28928/47500]	Loss: 0.5398	LR: 0.020000
Training Epoch: 25 [29184/47500]	Loss: 0.5696	LR: 0.020000
Training Epoch: 25 [29440/47500]	Loss: 0.6429	LR: 0.020000
Training Epoch: 25 [29696/47500]	Loss: 0.5845	LR: 0.020000
Training Epoch: 25 [29952/47500]	Loss: 0.5955	LR: 0.020000
Training Epoch: 25 [30208/47500]	Loss: 0.5383	LR: 0.020000
Training Epoch: 25 [30464/47500]	Loss: 0.4990	LR: 0.020000
Training Epoch: 25 [30720/47500]	Loss: 0.4904	LR: 0.020000
Training Epoch: 25 [30976/47500]	Loss: 0.6892	LR: 0.020000
Training Epoch: 25 [31232/47500]	Loss: 0.5887	LR: 0.020000
Training Epoch: 25 [31488/47500]	Loss: 0.5979	LR: 0.020000
Training Epoch: 25 [31744/47500]	Loss: 0.5583	LR: 0.020000
Training Epoch: 25 [32000/47500]	Loss: 0.3931	LR: 0.020000
Training Epoch: 25 [32256/47500]	Loss: 0.5245	LR: 0.020000
Training Epoch: 25 [32512/47500]	Loss: 0.6116	LR: 0.020000
Training Epoch: 25 [32768/47500]	Loss: 0.4920	LR: 0.020000
Training Epoch: 25 [33024/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 25 [33280/47500]	Loss: 0.6019	LR: 0.020000
Training Epoch: 25 [33536/47500]	Loss: 0.5375	LR: 0.020000
Training Epoch: 25 [33792/47500]	Loss: 0.5291	LR: 0.020000
Training Epoch: 25 [34048/47500]	Loss: 0.5158	LR: 0.020000
Training Epoch: 25 [34304/47500]	Loss: 0.5105	LR: 0.020000
Training Epoch: 25 [34560/47500]	Loss: 0.5274	LR: 0.020000
Training Epoch: 25 [34816/47500]	Loss: 0.5638	LR: 0.020000
Training Epoch: 25 [35072/47500]	Loss: 0.6558	LR: 0.020000
Training Epoch: 25 [35328/47500]	Loss: 0.5590	LR: 0.020000
Training Epoch: 25 [35584/47500]	Loss: 0.6958	LR: 0.020000
Training Epoch: 25 [35840/47500]	Loss: 0.4940	LR: 0.020000
Training Epoch: 25 [36096/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 25 [36352/47500]	Loss: 0.6099	LR: 0.020000
Training Epoch: 25 [36608/47500]	Loss: 0.5734	LR: 0.020000
Training Epoch: 25 [36864/47500]	Loss: 0.4857	LR: 0.020000
Training Epoch: 25 [37120/47500]	Loss: 0.6138	LR: 0.020000
Training Epoch: 25 [37376/47500]	Loss: 0.5582	LR: 0.020000
Training Epoch: 25 [37632/47500]	Loss: 0.6445	LR: 0.020000
Training Epoch: 25 [37888/47500]	Loss: 0.5759	LR: 0.020000
Training Epoch: 25 [38144/47500]	Loss: 0.4615	LR: 0.020000
Training Epoch: 25 [38400/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 25 [38656/47500]	Loss: 0.6061	LR: 0.020000
Training Epoch: 25 [38912/47500]	Loss: 0.5505	LR: 0.020000
Training Epoch: 25 [39168/47500]	Loss: 0.5480	LR: 0.020000
Training Epoch: 25 [39424/47500]	Loss: 0.7000	LR: 0.020000
Training Epoch: 25 [39680/47500]	Loss: 0.6118	LR: 0.020000
Training Epoch: 25 [39936/47500]	Loss: 0.6100	LR: 0.020000
Training Epoch: 25 [40192/47500]	Loss: 0.5847	LR: 0.020000
Training Epoch: 25 [40448/47500]	Loss: 0.4184	LR: 0.020000
Training Epoch: 25 [40704/47500]	Loss: 0.5911	LR: 0.020000
Training Epoch: 25 [40960/47500]	Loss: 0.5123	LR: 0.020000
Training Epoch: 25 [41216/47500]	Loss: 0.5749	LR: 0.020000
Training Epoch: 25 [41472/47500]	Loss: 0.4986	LR: 0.020000
Training Epoch: 25 [41728/47500]	Loss: 0.5815	LR: 0.020000
Training Epoch: 25 [41984/47500]	Loss: 0.5520	LR: 0.020000
Training Epoch: 25 [42240/47500]	Loss: 0.5690	LR: 0.020000
Training Epoch: 25 [42496/47500]	Loss: 0.4860	LR: 0.020000
Training Epoch: 25 [42752/47500]	Loss: 0.5220	LR: 0.020000
Training Epoch: 25 [43008/47500]	Loss: 0.6085	LR: 0.020000
Training Epoch: 25 [43264/47500]	Loss: 0.6213	LR: 0.020000
Training Epoch: 25 [43520/47500]	Loss: 0.5760	LR: 0.020000
Training Epoch: 25 [43776/47500]	Loss: 0.6257	LR: 0.020000
Training Epoch: 25 [44032/47500]	Loss: 0.5779	LR: 0.020000
Training Epoch: 25 [44288/47500]	Loss: 0.6976	LR: 0.020000
Training Epoch: 25 [44544/47500]	Loss: 0.5758	LR: 0.020000
Training Epoch: 25 [44800/47500]	Loss: 0.6189	LR: 0.020000
Training Epoch: 25 [45056/47500]	Loss: 0.5057	LR: 0.020000
Training Epoch: 25 [45312/47500]	Loss: 0.4897	LR: 0.020000
Training Epoch: 25 [45568/47500]	Loss: 0.5784	LR: 0.020000
Training Epoch: 25 [45824/47500]	Loss: 0.4924	LR: 0.020000
Training Epoch: 25 [46080/47500]	Loss: 0.5810	LR: 0.020000
Training Epoch: 25 [46336/47500]	Loss: 0.5033	LR: 0.020000
Training Epoch: 25 [46592/47500]	Loss: 0.5120	LR: 0.020000
Training Epoch: 25 [46848/47500]	Loss: 0.5464	LR: 0.020000
Training Epoch: 25 [47104/47500]	Loss: 0.7036	LR: 0.020000
Training Epoch: 25 [47360/47500]	Loss: 0.5564	LR: 0.020000
Training Epoch: 25 [47500/47500]	Loss: 0.6494	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5455, Train Accuracy: 0.8223
Epoch 25 training time consumed: 25.88s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0035, Accuracy: 0.7366, Time consumed:1.00s
Training Epoch: 26 [256/47500]	Loss: 0.5052	LR: 0.020000
Training Epoch: 26 [512/47500]	Loss: 0.5559	LR: 0.020000
Training Epoch: 26 [768/47500]	Loss: 0.5583	LR: 0.020000
Training Epoch: 26 [1024/47500]	Loss: 0.5286	LR: 0.020000
Training Epoch: 26 [1280/47500]	Loss: 0.4999	LR: 0.020000
Training Epoch: 26 [1536/47500]	Loss: 0.5176	LR: 0.020000
Training Epoch: 26 [1792/47500]	Loss: 0.4153	LR: 0.020000
Training Epoch: 26 [2048/47500]	Loss: 0.4882	LR: 0.020000
Training Epoch: 26 [2304/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 26 [2560/47500]	Loss: 0.5795	LR: 0.020000
Training Epoch: 26 [2816/47500]	Loss: 0.5871	LR: 0.020000
Training Epoch: 26 [3072/47500]	Loss: 0.5963	LR: 0.020000
Training Epoch: 26 [3328/47500]	Loss: 0.5687	LR: 0.020000
Training Epoch: 26 [3584/47500]	Loss: 0.5556	LR: 0.020000
Training Epoch: 26 [3840/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 26 [4096/47500]	Loss: 0.5969	LR: 0.020000
Training Epoch: 26 [4352/47500]	Loss: 0.5362	LR: 0.020000
Training Epoch: 26 [4608/47500]	Loss: 0.5581	LR: 0.020000
Training Epoch: 26 [4864/47500]	Loss: 0.5355	LR: 0.020000
Training Epoch: 26 [5120/47500]	Loss: 0.5128	LR: 0.020000
Training Epoch: 26 [5376/47500]	Loss: 0.5341	LR: 0.020000
Training Epoch: 26 [5632/47500]	Loss: 0.4906	LR: 0.020000
Training Epoch: 26 [5888/47500]	Loss: 0.6249	LR: 0.020000
Training Epoch: 26 [6144/47500]	Loss: 0.4654	LR: 0.020000
Training Epoch: 26 [6400/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 26 [6656/47500]	Loss: 0.5697	LR: 0.020000
Training Epoch: 26 [6912/47500]	Loss: 0.3839	LR: 0.020000
Training Epoch: 26 [7168/47500]	Loss: 0.5544	LR: 0.020000
Training Epoch: 26 [7424/47500]	Loss: 0.4846	LR: 0.020000
Training Epoch: 26 [7680/47500]	Loss: 0.4372	LR: 0.020000
Training Epoch: 26 [7936/47500]	Loss: 0.5191	LR: 0.020000
Training Epoch: 26 [8192/47500]	Loss: 0.5262	LR: 0.020000
Training Epoch: 26 [8448/47500]	Loss: 0.4735	LR: 0.020000
Training Epoch: 26 [8704/47500]	Loss: 0.5937	LR: 0.020000
Training Epoch: 26 [8960/47500]	Loss: 0.5044	LR: 0.020000
Training Epoch: 26 [9216/47500]	Loss: 0.4586	LR: 0.020000
Training Epoch: 26 [9472/47500]	Loss: 0.5513	LR: 0.020000
Training Epoch: 26 [9728/47500]	Loss: 0.5019	LR: 0.020000
Training Epoch: 26 [9984/47500]	Loss: 0.5237	LR: 0.020000
Training Epoch: 26 [10240/47500]	Loss: 0.4701	LR: 0.020000
Training Epoch: 26 [10496/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 26 [10752/47500]	Loss: 0.5867	LR: 0.020000
Training Epoch: 26 [11008/47500]	Loss: 0.5286	LR: 0.020000
Training Epoch: 26 [11264/47500]	Loss: 0.4696	LR: 0.020000
Training Epoch: 26 [11520/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 26 [11776/47500]	Loss: 0.4706	LR: 0.020000
Training Epoch: 26 [12032/47500]	Loss: 0.5178	LR: 0.020000
Training Epoch: 26 [12288/47500]	Loss: 0.4854	LR: 0.020000
Training Epoch: 26 [12544/47500]	Loss: 0.5678	LR: 0.020000
Training Epoch: 26 [12800/47500]	Loss: 0.4898	LR: 0.020000
Training Epoch: 26 [13056/47500]	Loss: 0.5191	LR: 0.020000
Training Epoch: 26 [13312/47500]	Loss: 0.4723	LR: 0.020000
Training Epoch: 26 [13568/47500]	Loss: 0.5859	LR: 0.020000
Training Epoch: 26 [13824/47500]	Loss: 0.4906	LR: 0.020000
Training Epoch: 26 [14080/47500]	Loss: 0.5014	LR: 0.020000
Training Epoch: 26 [14336/47500]	Loss: 0.5764	LR: 0.020000
Training Epoch: 26 [14592/47500]	Loss: 0.4830	LR: 0.020000
Training Epoch: 26 [14848/47500]	Loss: 0.5359	LR: 0.020000
Training Epoch: 26 [15104/47500]	Loss: 0.4885	LR: 0.020000
Training Epoch: 26 [15360/47500]	Loss: 0.5090	LR: 0.020000
Training Epoch: 26 [15616/47500]	Loss: 0.5319	LR: 0.020000
Training Epoch: 26 [15872/47500]	Loss: 0.3973	LR: 0.020000
Training Epoch: 26 [16128/47500]	Loss: 0.4654	LR: 0.020000
Training Epoch: 26 [16384/47500]	Loss: 0.5026	LR: 0.020000
Training Epoch: 26 [16640/47500]	Loss: 0.5588	LR: 0.020000
Training Epoch: 26 [16896/47500]	Loss: 0.4169	LR: 0.020000
Training Epoch: 26 [17152/47500]	Loss: 0.6395	LR: 0.020000
Training Epoch: 26 [17408/47500]	Loss: 0.5088	LR: 0.020000
Training Epoch: 26 [17664/47500]	Loss: 0.5260	LR: 0.020000
Training Epoch: 26 [17920/47500]	Loss: 0.4775	LR: 0.020000
Training Epoch: 26 [18176/47500]	Loss: 0.4939	LR: 0.020000
Training Epoch: 26 [18432/47500]	Loss: 0.4556	LR: 0.020000
Training Epoch: 26 [18688/47500]	Loss: 0.6328	LR: 0.020000
Training Epoch: 26 [18944/47500]	Loss: 0.5158	LR: 0.020000
Training Epoch: 26 [19200/47500]	Loss: 0.5055	LR: 0.020000
Training Epoch: 26 [19456/47500]	Loss: 0.5162	LR: 0.020000
Training Epoch: 26 [19712/47500]	Loss: 0.6093	LR: 0.020000
Training Epoch: 26 [19968/47500]	Loss: 0.5140	LR: 0.020000
Training Epoch: 26 [20224/47500]	Loss: 0.5385	LR: 0.020000
Training Epoch: 26 [20480/47500]	Loss: 0.5469	LR: 0.020000
Training Epoch: 26 [20736/47500]	Loss: 0.6329	LR: 0.020000
Training Epoch: 26 [20992/47500]	Loss: 0.4195	LR: 0.020000
Training Epoch: 26 [21248/47500]	Loss: 0.5001	LR: 0.020000
Training Epoch: 26 [21504/47500]	Loss: 0.5996	LR: 0.020000
Training Epoch: 26 [21760/47500]	Loss: 0.5996	LR: 0.020000
Training Epoch: 26 [22016/47500]	Loss: 0.5352	LR: 0.020000
Training Epoch: 26 [22272/47500]	Loss: 0.4974	LR: 0.020000
Training Epoch: 26 [22528/47500]	Loss: 0.5588	LR: 0.020000
Training Epoch: 26 [22784/47500]	Loss: 0.5841	LR: 0.020000
Training Epoch: 26 [23040/47500]	Loss: 0.5218	LR: 0.020000
Training Epoch: 26 [23296/47500]	Loss: 0.5911	LR: 0.020000
Training Epoch: 26 [23552/47500]	Loss: 0.5239	LR: 0.020000
Training Epoch: 26 [23808/47500]	Loss: 0.6230	LR: 0.020000
Training Epoch: 26 [24064/47500]	Loss: 0.6064	LR: 0.020000
Training Epoch: 26 [24320/47500]	Loss: 0.4863	LR: 0.020000
Training Epoch: 26 [24576/47500]	Loss: 0.5363	LR: 0.020000
Training Epoch: 26 [24832/47500]	Loss: 0.5110	LR: 0.020000
Training Epoch: 26 [25088/47500]	Loss: 0.6280	LR: 0.020000
Training Epoch: 26 [25344/47500]	Loss: 0.4481	LR: 0.020000
Training Epoch: 26 [25600/47500]	Loss: 0.5643	LR: 0.020000
Training Epoch: 26 [25856/47500]	Loss: 0.5989	LR: 0.020000
Training Epoch: 26 [26112/47500]	Loss: 0.4730	LR: 0.020000
Training Epoch: 26 [26368/47500]	Loss: 0.5758	LR: 0.020000
Training Epoch: 26 [26624/47500]	Loss: 0.5295	LR: 0.020000
Training Epoch: 26 [26880/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 26 [27136/47500]	Loss: 0.5564	LR: 0.020000
Training Epoch: 26 [27392/47500]	Loss: 0.5594	LR: 0.020000
Training Epoch: 26 [27648/47500]	Loss: 0.5549	LR: 0.020000
Training Epoch: 26 [27904/47500]	Loss: 0.5445	LR: 0.020000
Training Epoch: 26 [28160/47500]	Loss: 0.6749	LR: 0.020000
Training Epoch: 26 [28416/47500]	Loss: 0.5612	LR: 0.020000
Training Epoch: 26 [28672/47500]	Loss: 0.5033	LR: 0.020000
Training Epoch: 26 [28928/47500]	Loss: 0.7253	LR: 0.020000
Training Epoch: 26 [29184/47500]	Loss: 0.5533	LR: 0.020000
Training Epoch: 26 [29440/47500]	Loss: 0.5267	LR: 0.020000
Training Epoch: 26 [29696/47500]	Loss: 0.6018	LR: 0.020000
Training Epoch: 26 [29952/47500]	Loss: 0.4968	LR: 0.020000
Training Epoch: 26 [30208/47500]	Loss: 0.5818	LR: 0.020000
Training Epoch: 26 [30464/47500]	Loss: 0.5244	LR: 0.020000
Training Epoch: 26 [30720/47500]	Loss: 0.5175	LR: 0.020000
Training Epoch: 26 [30976/47500]	Loss: 0.5130	LR: 0.020000
Training Epoch: 26 [31232/47500]	Loss: 0.5813	LR: 0.020000
Training Epoch: 26 [31488/47500]	Loss: 0.5079	LR: 0.020000
Training Epoch: 26 [31744/47500]	Loss: 0.6268	LR: 0.020000
Training Epoch: 26 [32000/47500]	Loss: 0.5121	LR: 0.020000
Training Epoch: 26 [32256/47500]	Loss: 0.4734	LR: 0.020000
Training Epoch: 26 [32512/47500]	Loss: 0.4937	LR: 0.020000
Training Epoch: 26 [32768/47500]	Loss: 0.6341	LR: 0.020000
Training Epoch: 26 [33024/47500]	Loss: 0.5132	LR: 0.020000
Training Epoch: 26 [33280/47500]	Loss: 0.5836	LR: 0.020000
Training Epoch: 26 [33536/47500]	Loss: 0.5407	LR: 0.020000
Training Epoch: 26 [33792/47500]	Loss: 0.5933	LR: 0.020000
Training Epoch: 26 [34048/47500]	Loss: 0.5741	LR: 0.020000
Training Epoch: 26 [34304/47500]	Loss: 0.4774	LR: 0.020000
Training Epoch: 26 [34560/47500]	Loss: 0.5502	LR: 0.020000
Training Epoch: 26 [34816/47500]	Loss: 0.5821	LR: 0.020000
Training Epoch: 26 [35072/47500]	Loss: 0.5421	LR: 0.020000
Training Epoch: 26 [35328/47500]	Loss: 0.4770	LR: 0.020000
Training Epoch: 26 [35584/47500]	Loss: 0.5248	LR: 0.020000
Training Epoch: 26 [35840/47500]	Loss: 0.5814	LR: 0.020000
Training Epoch: 26 [36096/47500]	Loss: 0.5675	LR: 0.020000
Training Epoch: 26 [36352/47500]	Loss: 0.5658	LR: 0.020000
Training Epoch: 26 [36608/47500]	Loss: 0.5426	LR: 0.020000
Training Epoch: 26 [36864/47500]	Loss: 0.5392	LR: 0.020000
Training Epoch: 26 [37120/47500]	Loss: 0.6013	LR: 0.020000
Training Epoch: 26 [37376/47500]	Loss: 0.6651	LR: 0.020000
Training Epoch: 26 [37632/47500]	Loss: 0.6073	LR: 0.020000
Training Epoch: 26 [37888/47500]	Loss: 0.5428	LR: 0.020000
Training Epoch: 26 [38144/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 26 [38400/47500]	Loss: 0.6454	LR: 0.020000
Training Epoch: 26 [38656/47500]	Loss: 0.5347	LR: 0.020000
Training Epoch: 26 [38912/47500]	Loss: 0.5754	LR: 0.020000
Training Epoch: 26 [39168/47500]	Loss: 0.5354	LR: 0.020000
Training Epoch: 26 [39424/47500]	Loss: 0.7102	LR: 0.020000
Training Epoch: 26 [39680/47500]	Loss: 0.6101	LR: 0.020000
Training Epoch: 26 [39936/47500]	Loss: 0.5713	LR: 0.020000
Training Epoch: 26 [40192/47500]	Loss: 0.5727	LR: 0.020000
Training Epoch: 26 [40448/47500]	Loss: 0.4820	LR: 0.020000
Training Epoch: 26 [40704/47500]	Loss: 0.5685	LR: 0.020000
Training Epoch: 26 [40960/47500]	Loss: 0.5877	LR: 0.020000
Training Epoch: 26 [41216/47500]	Loss: 0.6379	LR: 0.020000
Training Epoch: 26 [41472/47500]	Loss: 0.4875	LR: 0.020000
Training Epoch: 26 [41728/47500]	Loss: 0.5123	LR: 0.020000
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Training Epoch: 26 [42240/47500]	Loss: 0.5995	LR: 0.020000
Training Epoch: 26 [42496/47500]	Loss: 0.6278	LR: 0.020000
Training Epoch: 26 [42752/47500]	Loss: 0.5782	LR: 0.020000
Training Epoch: 26 [43008/47500]	Loss: 0.5495	LR: 0.020000
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Training Epoch: 26 [43520/47500]	Loss: 0.5688	LR: 0.020000
Training Epoch: 26 [43776/47500]	Loss: 0.5188	LR: 0.020000
Training Epoch: 26 [44032/47500]	Loss: 0.5788	LR: 0.020000
Training Epoch: 26 [44288/47500]	Loss: 0.5527	LR: 0.020000
Training Epoch: 26 [44544/47500]	Loss: 0.4860	LR: 0.020000
Training Epoch: 26 [44800/47500]	Loss: 0.3746	LR: 0.020000
Training Epoch: 26 [45056/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 26 [45312/47500]	Loss: 0.5490	LR: 0.020000
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Training Epoch: 26 [45824/47500]	Loss: 0.6122	LR: 0.020000
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Training Epoch: 26 [46592/47500]	Loss: 0.4960	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.5868	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.5618	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.5350	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.5546	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5396, Train Accuracy: 0.8262
Epoch 26 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0037, Accuracy: 0.7253, Time consumed:0.95s
Training Epoch: 27 [256/47500]	Loss: 0.4068	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.4993	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.5288	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.5868	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.5216	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.5067	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.4607	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.5013	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.5765	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.4637	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.5621	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.4680	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.5994	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.4913	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.4766	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.4334	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.5608	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.4212	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.6117	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.5762	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.4479	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.5795	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.5737	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.5520	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.5187	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.5023	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.5041	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.4937	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.5267	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.4723	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.5037	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.5084	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.5910	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.4884	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.5832	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.5406	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.5025	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.6292	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.5596	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.3777	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.4945	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.5130	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.5099	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.5903	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.6171	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.4819	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.5865	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.5444	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.4327	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.5242	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.4056	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.6078	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.5445	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.5190	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.5311	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.5073	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.5739	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.5253	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.4984	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.5098	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.5086	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.4587	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.5768	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.5347	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.5701	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.4882	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.6230	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.4478	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.5742	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.5189	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.4420	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.4592	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.4553	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.7004	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.4906	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.5529	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.5981	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.6012	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.5254	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.4199	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.4508	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.5495	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.5577	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.5538	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.4101	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.4907	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.5843	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.4707	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.4853	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.6717	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.4475	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.4410	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.4400	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.5205	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.5604	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.6289	LR: 0.020000
Training Epoch: 27 [27392/47500]	Loss: 0.4884	LR: 0.020000
Training Epoch: 27 [27648/47500]	Loss: 0.5656	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.5193	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.5181	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.5015	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.4336	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.6173	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.5876	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.4435	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.4687	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.5910	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.5629	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.5406	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.6808	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.5538	LR: 0.020000
Training Epoch: 27 [31744/47500]	Loss: 0.5353	LR: 0.020000
Training Epoch: 27 [32000/47500]	Loss: 0.5649	LR: 0.020000
Training Epoch: 27 [32256/47500]	Loss: 0.5457	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.5489	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.5755	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.5703	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.6401	LR: 0.020000
Training Epoch: 27 [33536/47500]	Loss: 0.4594	LR: 0.020000
Training Epoch: 27 [33792/47500]	Loss: 0.5240	LR: 0.020000
Training Epoch: 27 [34048/47500]	Loss: 0.5141	LR: 0.020000
Training Epoch: 27 [34304/47500]	Loss: 0.4835	LR: 0.020000
Training Epoch: 27 [34560/47500]	Loss: 0.5873	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.5161	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.5619	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.5009	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.5296	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.4764	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.4799	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.5548	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.5557	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.5297	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.4772	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.5862	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.4645	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.5576	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.5161	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.4632	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.5446	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.5239	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.5193	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.5861	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.5371	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.5186	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.5041	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.4792	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.5604	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.6473	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.5695	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.5068	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.5347	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.5395	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.4870	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.5482	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.6100	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.5245	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.4831	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.5532	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.5403	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.4773	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.5415	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.5881	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.5539	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.5351	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.4710	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.5187	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.6087	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.5375	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.6054	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.5006	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5252, Train Accuracy: 0.8316
Epoch 27 training time consumed: 25.89s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0036, Accuracy: 0.7347, Time consumed:0.90s
Training Epoch: 28 [256/47500]	Loss: 0.5061	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.4712	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.4631	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.4087	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.4843	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.5449	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.4274	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.5926	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.4595	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.4832	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.5192	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.5064	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.5604	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.4941	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.4097	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.5573	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.4921	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.5191	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.4801	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.6243	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.4565	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.4956	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.4435	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.4317	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.4464	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.5501	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.4525	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.5272	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.5445	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.4058	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.5510	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.4881	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.4496	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.5124	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.5298	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.4783	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.4981	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.4304	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.3909	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.5088	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.4406	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.6031	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.4244	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.5299	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.5231	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.4752	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.4795	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.4756	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.5879	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.5518	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.4955	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.5063	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.5105	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.5994	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.5070	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.4498	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.5484	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.5811	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.5453	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.5191	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.4223	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.5412	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.5217	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.5452	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.5784	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.3628	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.5342	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.5098	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.5181	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.5745	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.4699	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.4654	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.6310	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.6132	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.5551	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.6378	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.6192	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.6018	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.5219	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.4416	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.4383	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.5973	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.4893	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.5706	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.4752	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.4300	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.5154	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.5658	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.5324	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.5484	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.4881	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.4279	LR: 0.020000
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Training Epoch: 28 [47500/47500]	Loss: 0.4542	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5192, Train Accuracy: 0.8308
Epoch 28 training time consumed: 25.85s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0034, Accuracy: 0.7517, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-28-best.pth
Training Epoch: 29 [256/47500]	Loss: 0.5002	LR: 0.020000
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Training Epoch: 29 [47500/47500]	Loss: 0.5263	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5127, Train Accuracy: 0.8344
Epoch 29 training time consumed: 26.03s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0040, Accuracy: 0.7210, Time consumed:0.89s
Training Epoch: 30 [256/47500]	Loss: 0.4886	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.5173	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.5241	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.5357	LR: 0.004000
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Training Epoch: 30 [1792/47500]	Loss: 0.4780	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.4898	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.3834	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3956, Train Accuracy: 0.8764
Epoch 30 training time consumed: 25.96s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0029, Accuracy: 0.7824, Time consumed:0.96s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.3832	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.2915	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.4120	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3601, Train Accuracy: 0.8881
Epoch 31 training time consumed: 26.12s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0029, Accuracy: 0.7856, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.3465	LR: 0.004000
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Training Epoch: 32 [46592/47500]	Loss: 0.3661	LR: 0.004000
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Training Epoch: 32 [47360/47500]	Loss: 0.2858	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.3971	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3419, Train Accuracy: 0.8946
Epoch 32 training time consumed: 26.08s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0029, Accuracy: 0.7827, Time consumed:0.93s
Training Epoch: 33 [256/47500]	Loss: 0.3260	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.2884	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.2531	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.3355	LR: 0.004000
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Training Epoch: 33 [4608/47500]	Loss: 0.2504	LR: 0.004000
Training Epoch: 33 [4864/47500]	Loss: 0.3712	LR: 0.004000
Training Epoch: 33 [5120/47500]	Loss: 0.3527	LR: 0.004000
Training Epoch: 33 [5376/47500]	Loss: 0.4044	LR: 0.004000
Training Epoch: 33 [5632/47500]	Loss: 0.4255	LR: 0.004000
Training Epoch: 33 [5888/47500]	Loss: 0.3544	LR: 0.004000
Training Epoch: 33 [6144/47500]	Loss: 0.3843	LR: 0.004000
Training Epoch: 33 [6400/47500]	Loss: 0.2761	LR: 0.004000
Training Epoch: 33 [6656/47500]	Loss: 0.3624	LR: 0.004000
Training Epoch: 33 [6912/47500]	Loss: 0.3175	LR: 0.004000
Training Epoch: 33 [7168/47500]	Loss: 0.3049	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.4268	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.4730	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.3506	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.3719	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.3008	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.3513	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.2934	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.3453	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.3663	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.2965	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.3095	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.4019	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.2769	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.3238	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.3318	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.3360	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.3121	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.2947	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.3122	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.4155	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.2832	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.3404	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.2716	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.4272	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.3033	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.3365	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.3610	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.4663	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.3058	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.3846	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.2925	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.3225	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.3222	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.3661	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.3354	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.3325	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.2816	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.3021	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.3785	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.3117	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.3313	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.3653	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.4096	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.2606	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.3973	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.3504	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.3745	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.3404	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.3524	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.3255	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.3229	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.3400	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.3684	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.2920	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.3017	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.3734	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.3330	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.3215	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.3505	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.3366	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.3350	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.2961	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.3132	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.3393	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.3892	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.3520	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.2922	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.2883	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.3579	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.3306	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.2850	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.3067	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.2756	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.3158	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.4402	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.3008	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.2757	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.3109	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.3171	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.2789	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.3198	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.3055	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.3188	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.3548	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.3298	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.3220	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.3342	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.3207	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.3389	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.3321	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.4031	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.3112	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.3132	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.3342	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.2811	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.3561	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.3321	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.3488	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.2968	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.3445	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.2897	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.3267	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.3344	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.3788	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.2870	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.3422	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.3413	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.3971	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.3144	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.3800	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.3214	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.3718	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.2778	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.2925	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.3282	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.3047	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.2935	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.3773	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.2783	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.2552	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.3539	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.3641	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.3390	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.3221	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.3520	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.2883	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.3836	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.3218	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.3793	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.3654	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.3082	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.4237	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.3136	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.3332	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.3206	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.3508	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.3571	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.3130	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.3416	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.2660	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.3198	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.2922	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.3144	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.3250	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.3221	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.3700	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.3062	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.3624	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.3062	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.3647	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.4398	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.3110	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.3344	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.3111	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.3023	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.4380	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3332, Train Accuracy: 0.8972
Epoch 33 training time consumed: 25.81s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0029, Accuracy: 0.7845, Time consumed:0.98s
Training Epoch: 34 [256/47500]	Loss: 0.3004	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.2980	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.3438	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.3036	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.3185	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.3296	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.2833	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.2866	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.3850	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.3042	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.3198	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.3212	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.2618	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.3525	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.2459	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.3469	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.3087	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.3242	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.2694	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.3287	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.2775	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.3528	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.3125	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.3584	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.3560	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.3291	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.2440	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.3051	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.3122	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.2511	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.2776	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.3243	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.3460	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.3146	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.3605	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.3112	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.3163	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.3283	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.3391	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.3799	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.3376	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.2686	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.3093	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.3008	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.3654	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.2960	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.2866	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.3193	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.3057	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.2988	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.3514	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.3587	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.3050	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.2494	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.2492	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.3432	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.3104	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.2862	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.3859	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.3428	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.3465	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.3795	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.3189	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.3047	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.2826	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.3197	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.3232	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.3606	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.3005	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.2861	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.3124	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.3421	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.3178	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.2759	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.3946	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.3604	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.3244	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.3568	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.3782	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.3378	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.3300	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.2983	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.2984	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.2769	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.3704	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.2531	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.3096	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.4093	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.3659	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.3324	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.2486	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.2905	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.3115	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.3995	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.3471	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.2756	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.3068	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.2595	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.3526	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.2703	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.2513	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.2521	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.3460	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.3159	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.3100	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.2392	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.4903	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.3891	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.3336	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.3628	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.3616	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.3481	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.4188	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.3436	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.3233	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.3468	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.3721	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.3307	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.3611	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.3736	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.2972	LR: 0.004000
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Training Epoch: 34 [43264/47500]	Loss: 0.3414	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.3415	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.3440	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.3002	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.3601	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.3209	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.3293	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.3204	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.3511	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.2815	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.3015	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.3457	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.3313	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.3873	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.2526	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.3768	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.3432	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3265, Train Accuracy: 0.9009
Epoch 34 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7812, Time consumed:0.93s
Training Epoch: 35 [256/47500]	Loss: 0.3398	LR: 0.000800
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Training Epoch: 35 [1024/47500]	Loss: 0.2743	LR: 0.000800
Training Epoch: 35 [1280/47500]	Loss: 0.3232	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.2876	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.2551	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.3378	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.2981	LR: 0.000800
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Training Epoch: 35 [5120/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.3224	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.3242	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.3075	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.2981	LR: 0.000800
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Training Epoch: 35 [8448/47500]	Loss: 0.3332	LR: 0.000800
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Training Epoch: 35 [45056/47500]	Loss: 0.3312	LR: 0.000800
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Training Epoch: 35 [46592/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.3202	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.3033	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3010, Train Accuracy: 0.9090
Epoch 35 training time consumed: 25.86s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7892, Time consumed:0.98s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.2547	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.2583	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.3364	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.2527	LR: 0.000800
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Training Epoch: 36 [46336/47500]	Loss: 0.2765	LR: 0.000800
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Training Epoch: 36 [47360/47500]	Loss: 0.3482	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.3803	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2956, Train Accuracy: 0.9119
Epoch 36 training time consumed: 25.88s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.7893, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_21h_23m_36s/AllCNN-Cifar20-seed4-ret50-36-best.pth
Training Epoch: 37 [256/47500]	Loss: 0.2548	LR: 0.000800
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Training Epoch: 37 [33536/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 37 [33792/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 37 [34048/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 37 [34304/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 37 [34560/47500]	Loss: 0.3161	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.2594	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.3219	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.3343	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.3835	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.2469	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.2209	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 37 [38912/47500]	Loss: 0.3464	LR: 0.000800
Training Epoch: 37 [39168/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.2040	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.2637	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.3372	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.3398	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.2875	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.3697	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.3452	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.3375	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.2899	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.3115	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.3381	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.3493	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.2428	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.1917	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.2326	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2905, Train Accuracy: 0.9144
Epoch 37 training time consumed: 26.32s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.7886, Time consumed:0.87s
Training Epoch: 38 [256/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.2752	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.2854	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.2409	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.2301	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.3048	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.2424	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.2556	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.2282	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.3713	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.3164	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.2348	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.3258	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.3478	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.2972	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.2766	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.3737	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.2695	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.3555	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.3299	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.3030	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.3087	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.3730	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.2444	LR: 0.000800
Training Epoch: 38 [8960/47500]	Loss: 0.3701	LR: 0.000800
Training Epoch: 38 [9216/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 38 [9472/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 38 [9728/47500]	Loss: 0.3336	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.2965	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 38 [10752/47500]	Loss: 0.3576	LR: 0.000800
Training Epoch: 38 [11008/47500]	Loss: 0.3448	LR: 0.000800
Training Epoch: 38 [11264/47500]	Loss: 0.2516	LR: 0.000800
Training Epoch: 38 [11520/47500]	Loss: 0.2629	LR: 0.000800
Training Epoch: 38 [11776/47500]	Loss: 0.3079	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.2439	LR: 0.000800
Training Epoch: 38 [12544/47500]	Loss: 0.2355	LR: 0.000800
Training Epoch: 38 [12800/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 38 [13056/47500]	Loss: 0.3246	LR: 0.000800
Training Epoch: 38 [13312/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 38 [13568/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 38 [13824/47500]	Loss: 0.2781	LR: 0.000800
Training Epoch: 38 [14080/47500]	Loss: 0.2468	LR: 0.000800
Training Epoch: 38 [14336/47500]	Loss: 0.2679	LR: 0.000800
Training Epoch: 38 [14592/47500]	Loss: 0.3356	LR: 0.000800
Training Epoch: 38 [14848/47500]	Loss: 0.2574	LR: 0.000800
Training Epoch: 38 [15104/47500]	Loss: 0.3026	LR: 0.000800
Training Epoch: 38 [15360/47500]	Loss: 0.3229	LR: 0.000800
Training Epoch: 38 [15616/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 38 [15872/47500]	Loss: 0.3428	LR: 0.000800
Training Epoch: 38 [16128/47500]	Loss: 0.3710	LR: 0.000800
Training Epoch: 38 [16384/47500]	Loss: 0.3117	LR: 0.000800
Training Epoch: 38 [16640/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 38 [16896/47500]	Loss: 0.2879	LR: 0.000800
Training Epoch: 38 [17152/47500]	Loss: 0.3735	LR: 0.000800
Training Epoch: 38 [17408/47500]	Loss: 0.3196	LR: 0.000800
Training Epoch: 38 [17664/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 38 [17920/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 38 [18176/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 38 [18432/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 38 [18688/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 38 [18944/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 38 [19200/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 38 [19456/47500]	Loss: 0.3272	LR: 0.000800
Training Epoch: 38 [19712/47500]	Loss: 0.3288	LR: 0.000800
Training Epoch: 38 [19968/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 38 [20224/47500]	Loss: 0.2963	LR: 0.000800
Training Epoch: 38 [20480/47500]	Loss: 0.2865	LR: 0.000800
Training Epoch: 38 [20736/47500]	Loss: 0.2513	LR: 0.000800
Training Epoch: 38 [20992/47500]	Loss: 0.2446	LR: 0.000800
Training Epoch: 38 [21248/47500]	Loss: 0.3015	LR: 0.000800
Training Epoch: 38 [21504/47500]	Loss: 0.2361	LR: 0.000800
Training Epoch: 38 [21760/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 38 [22016/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 38 [22272/47500]	Loss: 0.3351	LR: 0.000800
Training Epoch: 38 [22528/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 38 [22784/47500]	Loss: 0.2500	LR: 0.000800
Training Epoch: 38 [23040/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 38 [23296/47500]	Loss: 0.2943	LR: 0.000800
Training Epoch: 38 [23552/47500]	Loss: 0.2656	LR: 0.000800
Training Epoch: 38 [23808/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 38 [24064/47500]	Loss: 0.2458	LR: 0.000800
Training Epoch: 38 [24320/47500]	Loss: 0.2165	LR: 0.000800
Training Epoch: 38 [24576/47500]	Loss: 0.2257	LR: 0.000800
Training Epoch: 38 [24832/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 38 [25088/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 38 [25344/47500]	Loss: 0.2386	LR: 0.000800
Training Epoch: 38 [25600/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 38 [25856/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 38 [26112/47500]	Loss: 0.2361	LR: 0.000800
Training Epoch: 38 [26368/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 38 [26624/47500]	Loss: 0.2294	LR: 0.000800
Training Epoch: 38 [26880/47500]	Loss: 0.2905	LR: 0.000800
Training Epoch: 38 [27136/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 38 [27392/47500]	Loss: 0.2362	LR: 0.000800
Training Epoch: 38 [27648/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 38 [27904/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 38 [28160/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 38 [28416/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 38 [28672/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 38 [28928/47500]	Loss: 0.3076	LR: 0.000800
Training Epoch: 38 [29184/47500]	Loss: 0.3219	LR: 0.000800
Training Epoch: 38 [29440/47500]	Loss: 0.2717	LR: 0.000800
Training Epoch: 38 [29696/47500]	Loss: 0.2630	LR: 0.000800
Training Epoch: 38 [29952/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 38 [30208/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 38 [30464/47500]	Loss: 0.3175	LR: 0.000800
Training Epoch: 38 [30720/47500]	Loss: 0.4044	LR: 0.000800
Training Epoch: 38 [30976/47500]	Loss: 0.3211	LR: 0.000800
Training Epoch: 38 [31232/47500]	Loss: 0.3132	LR: 0.000800
Training Epoch: 38 [31488/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 38 [31744/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 38 [32000/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 38 [32256/47500]	Loss: 0.2206	LR: 0.000800
Training Epoch: 38 [32512/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 38 [32768/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 38 [33024/47500]	Loss: 0.2981	LR: 0.000800
Training Epoch: 38 [33280/47500]	Loss: 0.2521	LR: 0.000800
Training Epoch: 38 [33536/47500]	Loss: 0.3068	LR: 0.000800
Training Epoch: 38 [33792/47500]	Loss: 0.3269	LR: 0.000800
Training Epoch: 38 [34048/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 38 [34304/47500]	Loss: 0.2790	LR: 0.000800
Training Epoch: 38 [34560/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 38 [34816/47500]	Loss: 0.2467	LR: 0.000800
Training Epoch: 38 [35072/47500]	Loss: 0.2786	LR: 0.000800
Training Epoch: 38 [35328/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 38 [35584/47500]	Loss: 0.2541	LR: 0.000800
Training Epoch: 38 [35840/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 38 [36096/47500]	Loss: 0.2747	LR: 0.000800
Training Epoch: 38 [36352/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 38 [36608/47500]	Loss: 0.2291	LR: 0.000800
Training Epoch: 38 [36864/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 38 [37120/47500]	Loss: 0.2805	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.3414	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 38 [37888/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 38 [38144/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 38 [38400/47500]	Loss: 0.3691	LR: 0.000800
Training Epoch: 38 [38656/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 38 [38912/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 38 [39168/47500]	Loss: 0.3805	LR: 0.000800
Training Epoch: 38 [39424/47500]	Loss: 0.2760	LR: 0.000800
Training Epoch: 38 [39680/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 38 [39936/47500]	Loss: 0.2440	LR: 0.000800
Training Epoch: 38 [40192/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 38 [40448/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 38 [40704/47500]	Loss: 0.3208	LR: 0.000800
Training Epoch: 38 [40960/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 38 [41216/47500]	Loss: 0.3398	LR: 0.000800
Training Epoch: 38 [41472/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 38 [41728/47500]	Loss: 0.3432	LR: 0.000800
Training Epoch: 38 [41984/47500]	Loss: 0.3227	LR: 0.000800
Training Epoch: 38 [42240/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 38 [42496/47500]	Loss: 0.3771	LR: 0.000800
Training Epoch: 38 [42752/47500]	Loss: 0.3297	LR: 0.000800
Training Epoch: 38 [43008/47500]	Loss: 0.2663	LR: 0.000800
Training Epoch: 38 [43264/47500]	Loss: 0.2094	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.3168	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.2713	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.2688	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.3679	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.3405	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.2940	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.3648	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.3183	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.3186	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.3431	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.3361	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2909, Train Accuracy: 0.9129
Epoch 38 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7887, Time consumed:0.93s
Training Epoch: 39 [256/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.2239	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.2674	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.2331	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 39 [2816/47500]	Loss: 0.3187	LR: 0.000800
Training Epoch: 39 [3072/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 39 [3328/47500]	Loss: 0.2457	LR: 0.000800
Training Epoch: 39 [3584/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 39 [3840/47500]	Loss: 0.2952	LR: 0.000800
Training Epoch: 39 [4096/47500]	Loss: 0.2751	LR: 0.000800
Training Epoch: 39 [4352/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 39 [4608/47500]	Loss: 0.3121	LR: 0.000800
Training Epoch: 39 [4864/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 39 [5120/47500]	Loss: 0.2464	LR: 0.000800
Training Epoch: 39 [5376/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 39 [5632/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 39 [5888/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 39 [6144/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 39 [6400/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 39 [6656/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 39 [6912/47500]	Loss: 0.2346	LR: 0.000800
Training Epoch: 39 [7168/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 39 [7424/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 39 [7680/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 39 [7936/47500]	Loss: 0.2417	LR: 0.000800
Training Epoch: 39 [8192/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 39 [8448/47500]	Loss: 0.3364	LR: 0.000800
Training Epoch: 39 [8704/47500]	Loss: 0.3491	LR: 0.000800
Training Epoch: 39 [8960/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 39 [9216/47500]	Loss: 0.2343	LR: 0.000800
Training Epoch: 39 [9472/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 39 [9728/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 39 [9984/47500]	Loss: 0.3706	LR: 0.000800
Training Epoch: 39 [10240/47500]	Loss: 0.2366	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.2283	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.4083	LR: 0.000800
Training Epoch: 39 [11520/47500]	Loss: 0.2578	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.3156	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.2837	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.3614	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.2095	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.3294	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.3361	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.2664	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.3512	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.2756	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.3753	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.3268	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.3104	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.2249	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.2671	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.3377	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.3295	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.2839	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.2291	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.2574	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.2252	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.2957	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.3238	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.3007	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.2662	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.2413	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.3134	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.2979	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.2287	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.2296	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.3201	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.3305	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.2412	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.2268	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.3028	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.2810	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.2312	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.2644	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.3280	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.2602	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.3217	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.3358	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.2155	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.2112	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.2741	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.3422	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.3169	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.2433	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.3205	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.2402	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.2811	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.3453	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.2892	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.3409	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.2751	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.3144	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.3620	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.4590	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.3541	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.2368	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.2671	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.3614	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.3447	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.3245	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.2331	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.3151	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.2817	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.2832	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.2508	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.2648	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.2578	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.2982	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.2344	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.3410	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.3222	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2859, Train Accuracy: 0.9147
Epoch 39 training time consumed: 25.88s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7885, Time consumed:0.87s
Training Epoch: 40 [256/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.2762	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.3244	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.3558	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.2804	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.3081	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.2589	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.3028	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.2308	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.2859	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.3044	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.3124	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.3484	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.2821	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.2483	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.2028	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.3232	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.2534	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.2670	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.3179	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.3123	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.2627	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.3642	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.3376	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.3463	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.2728	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.2975	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.3095	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.2354	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.3241	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.2309	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.3119	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.2278	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.3086	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.3082	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.2415	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.2651	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.2816	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.2242	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.3065	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.2903	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.2063	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.2654	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.2863	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.2260	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.2209	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.2255	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.3226	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.2658	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.2455	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.2472	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.3397	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.2962	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.2953	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.3239	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.2400	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.2926	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.2925	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.2467	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.3429	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.2220	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.2506	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.2691	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.2183	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.3000	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.2383	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.3184	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.2986	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.2444	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.2330	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.2985	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.2483	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.2935	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.2391	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.2656	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.3425	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.1876	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.2874	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.3148	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.3186	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.3293	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.2991	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.2804	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.2781	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.3127	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.3055	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.3162	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.3113	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.3476	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.2847	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.3203	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.3433	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.3653	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.3305	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.3555	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.2924	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.3176	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.2716	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.2342	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.3034	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.3550	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.3484	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.2909	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.2737	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.2846	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.2797	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.1921	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.2886	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.3960	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.3593	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.2932	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.2733	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.2432	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.2385	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.2557	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.2789	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.3748	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.3261	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.2626	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.2753	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.3491	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.3801	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2855, Train Accuracy: 0.9156
Epoch 40 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.7891, Time consumed:0.87s
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: 78.818359375
Retain Accuracy: 92.329345703125
Zero-Retain Forget (ZRF): 0.9134284257888794
Membership Inference Attack (MIA): 0.486
Forget vs Retain Membership Inference Attack (MIA): 0.546
Forget vs Test Membership Inference Attack (MIA): 0.56
Test vs Retain Membership Inference Attack (MIA): 0.48525
Train vs Test Membership Inference Attack (MIA): 0.5645
Forget Set Accuracy (Df): 78.09151458740234
Method Execution Time: 1578.69 seconds
