
📌 S Retain class distribution for seed 3:
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 3:
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: 2.9962	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.0268	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 2.9912	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0502	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0109	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0215	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 2.9880	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 2.9763	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 2.9487	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9648	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9295	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9163	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.8993	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.9200	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8425	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.8663	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8658	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.8442	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8772	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.8624	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.8130	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.8162	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.8531	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7652	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7961	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.7578	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.7489	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.7875	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.6843	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.6771	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.6577	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.6416	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.7308	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.6619	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.6955	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.6315	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.6835	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.5632	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.6203	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.7054	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.6336	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.6524	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.5993	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.6082	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.5621	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.5862	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.6598	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.5535	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.4326	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.6048	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.6435	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.4884	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.5937	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.4713	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.6636	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.5634	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5007	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.4962	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.4189	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.4778	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.5747	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.5439	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.4542	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.5006	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.5174	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.5875	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.5143	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.4522	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.5589	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.4077	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.4499	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.5150	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.4319	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.4173	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.3554	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.4609	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.4889	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.5637	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.4273	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.5998	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.4704	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.5588	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.4032	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.3987	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.5329	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.4251	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.4964	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.5694	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.4865	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.5931	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.5341	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.5055	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.4052	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.3477	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.5353	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.3616	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.5700	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.4854	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4197	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.4505	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.3927	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.4230	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.4771	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.3611	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.4466	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.3230	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.3575	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.4430	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.3793	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.4508	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.5407	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.4232	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.3367	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.4604	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.5216	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.3755	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.4353	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.3068	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.4563	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.3962	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.3929	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.4216	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.4175	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.3003	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.5068	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.3882	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.3137	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.2180	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.3145	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.3944	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.3851	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.3951	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.4025	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.4047	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.3369	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.3699	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.4398	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.3225	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.4336	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.3698	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.2253	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.2950	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.3796	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.3112	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.2698	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.3076	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.4621	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.5842	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.5157	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.2923	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.3505	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.3233	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.3278	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.3862	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.2688	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.5640	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.3219	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.3982	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.3136	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.3371	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.4899	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.4041	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.3225	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.4641	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.4222	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.3281	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.3058	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.4064	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.2098	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3590	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.4177	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.4776	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.3143	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.2584	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.3089	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.4033	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.3189	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.3595	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.3470	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.2515	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.3092	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.2897	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.2480	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.4185	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.2417	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.3928	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5154, Train Accuracy: 0.2236
Epoch 1 training time consumed: 26.66s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0122, Accuracy: 0.1900, Time consumed:1.02s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.3142	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.3011	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.3465	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1540, Train Accuracy: 0.3311
Epoch 2 training time consumed: 26.16s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0082, Accuracy: 0.3595, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-2-best.pth
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Training Epoch: 3 [45824/47500]	Loss: 1.6915	LR: 0.100000
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Training Epoch: 3 [46336/47500]	Loss: 1.9477	LR: 0.100000
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Training Epoch: 3 [47500/47500]	Loss: 1.9169	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9190, Train Accuracy: 0.4001
Epoch 3 training time consumed: 26.12s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0087, Accuracy: 0.3583, Time consumed:0.89s
Training Epoch: 4 [256/47500]	Loss: 1.7075	LR: 0.100000
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Training Epoch: 4 [47500/47500]	Loss: 1.7392	LR: 0.100000
Epoch 4 - Average Train Loss: 1.7482, Train Accuracy: 0.4494
Epoch 4 training time consumed: 26.15s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0071, Accuracy: 0.4496, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.6971	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5967, Train Accuracy: 0.4970
Epoch 5 training time consumed: 26.25s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0075, Accuracy: 0.4514, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.3397	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4728, Train Accuracy: 0.5301
Epoch 6 training time consumed: 26.02s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0065, Accuracy: 0.5006, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.4217	LR: 0.100000
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Epoch 7 - Average Train Loss: 1.3507, Train Accuracy: 0.5703
Epoch 7 training time consumed: 26.21s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0068, Accuracy: 0.5019, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.3731	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.2752, Train Accuracy: 0.5923
Epoch 8 training time consumed: 26.00s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0055, Accuracy: 0.5567, Time consumed:1.00s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-8-best.pth
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Training Epoch: 9 [47500/47500]	Loss: 1.1798	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2179, Train Accuracy: 0.6097
Epoch 9 training time consumed: 26.23s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0051, Accuracy: 0.5912, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-9-best.pth
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Epoch 10 - Average Train Loss: 1.1521, Train Accuracy: 0.6328
Epoch 10 training time consumed: 26.08s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0058, Accuracy: 0.5627, Time consumed:0.95s
Training Epoch: 11 [256/47500]	Loss: 1.1760	LR: 0.100000
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Training Epoch: 11 [29440/47500]	Loss: 0.9773	LR: 0.100000
Training Epoch: 11 [29696/47500]	Loss: 1.0890	LR: 0.100000
Training Epoch: 11 [29952/47500]	Loss: 1.1656	LR: 0.100000
Training Epoch: 11 [30208/47500]	Loss: 1.2216	LR: 0.100000
Training Epoch: 11 [30464/47500]	Loss: 1.1234	LR: 0.100000
Training Epoch: 11 [30720/47500]	Loss: 1.1180	LR: 0.100000
Training Epoch: 11 [30976/47500]	Loss: 1.1121	LR: 0.100000
Training Epoch: 11 [31232/47500]	Loss: 1.0615	LR: 0.100000
Training Epoch: 11 [31488/47500]	Loss: 1.1327	LR: 0.100000
Training Epoch: 11 [31744/47500]	Loss: 1.1076	LR: 0.100000
Training Epoch: 11 [32000/47500]	Loss: 1.1358	LR: 0.100000
Training Epoch: 11 [32256/47500]	Loss: 1.0943	LR: 0.100000
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Training Epoch: 11 [40448/47500]	Loss: 1.2855	LR: 0.100000
Training Epoch: 11 [40704/47500]	Loss: 1.0827	LR: 0.100000
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Training Epoch: 11 [41216/47500]	Loss: 1.1276	LR: 0.100000
Training Epoch: 11 [41472/47500]	Loss: 1.1067	LR: 0.100000
Training Epoch: 11 [41728/47500]	Loss: 1.1525	LR: 0.100000
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Training Epoch: 11 [42240/47500]	Loss: 1.1895	LR: 0.100000
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Training Epoch: 11 [43008/47500]	Loss: 1.0508	LR: 0.100000
Training Epoch: 11 [43264/47500]	Loss: 1.1429	LR: 0.100000
Training Epoch: 11 [43520/47500]	Loss: 1.0527	LR: 0.100000
Training Epoch: 11 [43776/47500]	Loss: 1.0617	LR: 0.100000
Training Epoch: 11 [44032/47500]	Loss: 1.0995	LR: 0.100000
Training Epoch: 11 [44288/47500]	Loss: 1.1105	LR: 0.100000
Training Epoch: 11 [44544/47500]	Loss: 0.9232	LR: 0.100000
Training Epoch: 11 [44800/47500]	Loss: 1.1443	LR: 0.100000
Training Epoch: 11 [45056/47500]	Loss: 1.0207	LR: 0.100000
Training Epoch: 11 [45312/47500]	Loss: 0.9871	LR: 0.100000
Training Epoch: 11 [45568/47500]	Loss: 1.0534	LR: 0.100000
Training Epoch: 11 [45824/47500]	Loss: 0.9893	LR: 0.100000
Training Epoch: 11 [46080/47500]	Loss: 1.0193	LR: 0.100000
Training Epoch: 11 [46336/47500]	Loss: 1.0861	LR: 0.100000
Training Epoch: 11 [46592/47500]	Loss: 1.0328	LR: 0.100000
Training Epoch: 11 [46848/47500]	Loss: 1.1885	LR: 0.100000
Training Epoch: 11 [47104/47500]	Loss: 1.1623	LR: 0.100000
Training Epoch: 11 [47360/47500]	Loss: 1.1173	LR: 0.100000
Training Epoch: 11 [47500/47500]	Loss: 1.2570	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1013, Train Accuracy: 0.6468
Epoch 11 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0056, Accuracy: 0.5826, Time consumed:0.88s
Training Epoch: 12 [256/47500]	Loss: 1.0091	LR: 0.100000
Training Epoch: 12 [512/47500]	Loss: 0.9567	LR: 0.100000
Training Epoch: 12 [768/47500]	Loss: 1.0131	LR: 0.100000
Training Epoch: 12 [1024/47500]	Loss: 1.1471	LR: 0.100000
Training Epoch: 12 [1280/47500]	Loss: 1.1274	LR: 0.100000
Training Epoch: 12 [1536/47500]	Loss: 1.0518	LR: 0.100000
Training Epoch: 12 [1792/47500]	Loss: 0.8921	LR: 0.100000
Training Epoch: 12 [2048/47500]	Loss: 1.0947	LR: 0.100000
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Training Epoch: 12 [2560/47500]	Loss: 0.9846	LR: 0.100000
Training Epoch: 12 [2816/47500]	Loss: 1.0751	LR: 0.100000
Training Epoch: 12 [3072/47500]	Loss: 1.1066	LR: 0.100000
Training Epoch: 12 [3328/47500]	Loss: 0.9758	LR: 0.100000
Training Epoch: 12 [3584/47500]	Loss: 1.1708	LR: 0.100000
Training Epoch: 12 [3840/47500]	Loss: 1.0123	LR: 0.100000
Training Epoch: 12 [4096/47500]	Loss: 0.9822	LR: 0.100000
Training Epoch: 12 [4352/47500]	Loss: 1.0899	LR: 0.100000
Training Epoch: 12 [4608/47500]	Loss: 1.1131	LR: 0.100000
Training Epoch: 12 [4864/47500]	Loss: 1.1728	LR: 0.100000
Training Epoch: 12 [5120/47500]	Loss: 1.1464	LR: 0.100000
Training Epoch: 12 [5376/47500]	Loss: 1.2039	LR: 0.100000
Training Epoch: 12 [5632/47500]	Loss: 1.0829	LR: 0.100000
Training Epoch: 12 [5888/47500]	Loss: 0.9849	LR: 0.100000
Training Epoch: 12 [6144/47500]	Loss: 1.1734	LR: 0.100000
Training Epoch: 12 [6400/47500]	Loss: 1.0068	LR: 0.100000
Training Epoch: 12 [6656/47500]	Loss: 1.0831	LR: 0.100000
Training Epoch: 12 [6912/47500]	Loss: 1.0786	LR: 0.100000
Training Epoch: 12 [7168/47500]	Loss: 0.9301	LR: 0.100000
Training Epoch: 12 [7424/47500]	Loss: 1.0473	LR: 0.100000
Training Epoch: 12 [7680/47500]	Loss: 0.9660	LR: 0.100000
Training Epoch: 12 [7936/47500]	Loss: 0.9818	LR: 0.100000
Training Epoch: 12 [8192/47500]	Loss: 1.1201	LR: 0.100000
Training Epoch: 12 [8448/47500]	Loss: 1.0552	LR: 0.100000
Training Epoch: 12 [8704/47500]	Loss: 1.0390	LR: 0.100000
Training Epoch: 12 [8960/47500]	Loss: 1.1665	LR: 0.100000
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Training Epoch: 12 [9472/47500]	Loss: 1.0580	LR: 0.100000
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Training Epoch: 12 [28928/47500]	Loss: 1.0921	LR: 0.100000
Training Epoch: 12 [29184/47500]	Loss: 1.0398	LR: 0.100000
Training Epoch: 12 [29440/47500]	Loss: 0.9798	LR: 0.100000
Training Epoch: 12 [29696/47500]	Loss: 1.1069	LR: 0.100000
Training Epoch: 12 [29952/47500]	Loss: 0.9369	LR: 0.100000
Training Epoch: 12 [30208/47500]	Loss: 1.1447	LR: 0.100000
Training Epoch: 12 [30464/47500]	Loss: 1.1854	LR: 0.100000
Training Epoch: 12 [30720/47500]	Loss: 1.0195	LR: 0.100000
Training Epoch: 12 [30976/47500]	Loss: 0.9571	LR: 0.100000
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Training Epoch: 12 [31744/47500]	Loss: 1.0084	LR: 0.100000
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Training Epoch: 12 [36608/47500]	Loss: 1.0678	LR: 0.100000
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Training Epoch: 12 [38656/47500]	Loss: 0.8796	LR: 0.100000
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Training Epoch: 12 [39168/47500]	Loss: 1.0505	LR: 0.100000
Training Epoch: 12 [39424/47500]	Loss: 1.1819	LR: 0.100000
Training Epoch: 12 [39680/47500]	Loss: 1.0667	LR: 0.100000
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Training Epoch: 12 [40192/47500]	Loss: 1.1124	LR: 0.100000
Training Epoch: 12 [40448/47500]	Loss: 1.0449	LR: 0.100000
Training Epoch: 12 [40704/47500]	Loss: 1.1266	LR: 0.100000
Training Epoch: 12 [40960/47500]	Loss: 1.0994	LR: 0.100000
Training Epoch: 12 [41216/47500]	Loss: 0.9651	LR: 0.100000
Training Epoch: 12 [41472/47500]	Loss: 1.0468	LR: 0.100000
Training Epoch: 12 [41728/47500]	Loss: 1.1236	LR: 0.100000
Training Epoch: 12 [41984/47500]	Loss: 0.8961	LR: 0.100000
Training Epoch: 12 [42240/47500]	Loss: 1.1852	LR: 0.100000
Training Epoch: 12 [42496/47500]	Loss: 1.1182	LR: 0.100000
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Training Epoch: 12 [43264/47500]	Loss: 1.1137	LR: 0.100000
Training Epoch: 12 [43520/47500]	Loss: 1.1072	LR: 0.100000
Training Epoch: 12 [43776/47500]	Loss: 1.1802	LR: 0.100000
Training Epoch: 12 [44032/47500]	Loss: 0.8925	LR: 0.100000
Training Epoch: 12 [44288/47500]	Loss: 1.2389	LR: 0.100000
Training Epoch: 12 [44544/47500]	Loss: 0.9328	LR: 0.100000
Training Epoch: 12 [44800/47500]	Loss: 1.0018	LR: 0.100000
Training Epoch: 12 [45056/47500]	Loss: 1.2667	LR: 0.100000
Training Epoch: 12 [45312/47500]	Loss: 1.0462	LR: 0.100000
Training Epoch: 12 [45568/47500]	Loss: 0.8386	LR: 0.100000
Training Epoch: 12 [45824/47500]	Loss: 1.0618	LR: 0.100000
Training Epoch: 12 [46080/47500]	Loss: 1.1342	LR: 0.100000
Training Epoch: 12 [46336/47500]	Loss: 1.1502	LR: 0.100000
Training Epoch: 12 [46592/47500]	Loss: 1.0538	LR: 0.100000
Training Epoch: 12 [46848/47500]	Loss: 1.0820	LR: 0.100000
Training Epoch: 12 [47104/47500]	Loss: 1.0992	LR: 0.100000
Training Epoch: 12 [47360/47500]	Loss: 1.1321	LR: 0.100000
Training Epoch: 12 [47500/47500]	Loss: 1.1556	LR: 0.100000
Epoch 12 - Average Train Loss: 1.0678, Train Accuracy: 0.6587
Epoch 12 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0056, Accuracy: 0.5830, Time consumed:0.95s
Training Epoch: 13 [256/47500]	Loss: 1.1738	LR: 0.100000
Training Epoch: 13 [512/47500]	Loss: 0.9710	LR: 0.100000
Training Epoch: 13 [768/47500]	Loss: 1.0399	LR: 0.100000
Training Epoch: 13 [1024/47500]	Loss: 1.0057	LR: 0.100000
Training Epoch: 13 [1280/47500]	Loss: 1.0297	LR: 0.100000
Training Epoch: 13 [1536/47500]	Loss: 0.9158	LR: 0.100000
Training Epoch: 13 [1792/47500]	Loss: 0.9948	LR: 0.100000
Training Epoch: 13 [2048/47500]	Loss: 0.9848	LR: 0.100000
Training Epoch: 13 [2304/47500]	Loss: 0.9768	LR: 0.100000
Training Epoch: 13 [2560/47500]	Loss: 0.9652	LR: 0.100000
Training Epoch: 13 [2816/47500]	Loss: 1.1732	LR: 0.100000
Training Epoch: 13 [3072/47500]	Loss: 1.0646	LR: 0.100000
Training Epoch: 13 [3328/47500]	Loss: 0.9671	LR: 0.100000
Training Epoch: 13 [3584/47500]	Loss: 1.0355	LR: 0.100000
Training Epoch: 13 [3840/47500]	Loss: 1.0807	LR: 0.100000
Training Epoch: 13 [4096/47500]	Loss: 1.0137	LR: 0.100000
Training Epoch: 13 [4352/47500]	Loss: 1.0007	LR: 0.100000
Training Epoch: 13 [4608/47500]	Loss: 0.9538	LR: 0.100000
Training Epoch: 13 [4864/47500]	Loss: 1.0133	LR: 0.100000
Training Epoch: 13 [5120/47500]	Loss: 1.0084	LR: 0.100000
Training Epoch: 13 [5376/47500]	Loss: 1.0155	LR: 0.100000
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Epoch 13 - Average Train Loss: 1.0319, Train Accuracy: 0.6691
Epoch 13 training time consumed: 26.07s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0045, Accuracy: 0.6469, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-13-best.pth
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Training Epoch: 14 [47500/47500]	Loss: 1.0109	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0134, Train Accuracy: 0.6752
Epoch 14 training time consumed: 26.01s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0051, Accuracy: 0.6162, Time consumed:0.96s
Training Epoch: 15 [256/47500]	Loss: 1.0038	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.6301	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7658, Train Accuracy: 0.7546
Epoch 15 training time consumed: 26.05s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.7256, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.7308	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.6678	LR: 0.020000
Epoch 16 - Average Train Loss: 0.7015, Train Accuracy: 0.7746
Epoch 16 training time consumed: 26.04s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7406, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-16-best.pth
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Training Epoch: 17 [47500/47500]	Loss: 0.6912	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6622, Train Accuracy: 0.7848
Epoch 17 training time consumed: 26.02s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0035, Accuracy: 0.7236, Time consumed:0.87s
Training Epoch: 18 [256/47500]	Loss: 0.5614	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.6177	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6403, Train Accuracy: 0.7944
Epoch 18 training time consumed: 26.12s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0034, Accuracy: 0.7414, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.5318	LR: 0.020000
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Training Epoch: 19 [47500/47500]	Loss: 0.6194	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6220, Train Accuracy: 0.8004
Epoch 19 training time consumed: 26.52s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0033, Accuracy: 0.7460, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-19-best.pth
Training Epoch: 20 [256/47500]	Loss: 0.5209	LR: 0.020000
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Training Epoch: 20 [40192/47500]	Loss: 0.6183	LR: 0.020000
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Training Epoch: 20 [40704/47500]	Loss: 0.5940	LR: 0.020000
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Training Epoch: 20 [42496/47500]	Loss: 0.5356	LR: 0.020000
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Training Epoch: 20 [43008/47500]	Loss: 0.5611	LR: 0.020000
Training Epoch: 20 [43264/47500]	Loss: 0.5687	LR: 0.020000
Training Epoch: 20 [43520/47500]	Loss: 0.5727	LR: 0.020000
Training Epoch: 20 [43776/47500]	Loss: 0.6573	LR: 0.020000
Training Epoch: 20 [44032/47500]	Loss: 0.6783	LR: 0.020000
Training Epoch: 20 [44288/47500]	Loss: 0.6046	LR: 0.020000
Training Epoch: 20 [44544/47500]	Loss: 0.6435	LR: 0.020000
Training Epoch: 20 [44800/47500]	Loss: 0.6164	LR: 0.020000
Training Epoch: 20 [45056/47500]	Loss: 0.6095	LR: 0.020000
Training Epoch: 20 [45312/47500]	Loss: 0.7191	LR: 0.020000
Training Epoch: 20 [45568/47500]	Loss: 0.5984	LR: 0.020000
Training Epoch: 20 [45824/47500]	Loss: 0.6614	LR: 0.020000
Training Epoch: 20 [46080/47500]	Loss: 0.5474	LR: 0.020000
Training Epoch: 20 [46336/47500]	Loss: 0.6561	LR: 0.020000
Training Epoch: 20 [46592/47500]	Loss: 0.6235	LR: 0.020000
Training Epoch: 20 [46848/47500]	Loss: 0.5721	LR: 0.020000
Training Epoch: 20 [47104/47500]	Loss: 0.5608	LR: 0.020000
Training Epoch: 20 [47360/47500]	Loss: 0.5667	LR: 0.020000
Training Epoch: 20 [47500/47500]	Loss: 0.5874	LR: 0.020000
Epoch 20 - Average Train Loss: 0.5997, Train Accuracy: 0.8051
Epoch 20 training time consumed: 26.03s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0035, Accuracy: 0.7355, Time consumed:0.89s
Training Epoch: 21 [256/47500]	Loss: 0.5943	LR: 0.020000
Training Epoch: 21 [512/47500]	Loss: 0.4456	LR: 0.020000
Training Epoch: 21 [768/47500]	Loss: 0.7016	LR: 0.020000
Training Epoch: 21 [1024/47500]	Loss: 0.5682	LR: 0.020000
Training Epoch: 21 [1280/47500]	Loss: 0.5947	LR: 0.020000
Training Epoch: 21 [1536/47500]	Loss: 0.5237	LR: 0.020000
Training Epoch: 21 [1792/47500]	Loss: 0.5239	LR: 0.020000
Training Epoch: 21 [2048/47500]	Loss: 0.5239	LR: 0.020000
Training Epoch: 21 [2304/47500]	Loss: 0.5202	LR: 0.020000
Training Epoch: 21 [2560/47500]	Loss: 0.5811	LR: 0.020000
Training Epoch: 21 [2816/47500]	Loss: 0.5751	LR: 0.020000
Training Epoch: 21 [3072/47500]	Loss: 0.5839	LR: 0.020000
Training Epoch: 21 [3328/47500]	Loss: 0.4908	LR: 0.020000
Training Epoch: 21 [3584/47500]	Loss: 0.5290	LR: 0.020000
Training Epoch: 21 [3840/47500]	Loss: 0.6077	LR: 0.020000
Training Epoch: 21 [4096/47500]	Loss: 0.5521	LR: 0.020000
Training Epoch: 21 [4352/47500]	Loss: 0.4996	LR: 0.020000
Training Epoch: 21 [4608/47500]	Loss: 0.5586	LR: 0.020000
Training Epoch: 21 [4864/47500]	Loss: 0.5141	LR: 0.020000
Training Epoch: 21 [5120/47500]	Loss: 0.5205	LR: 0.020000
Training Epoch: 21 [5376/47500]	Loss: 0.6060	LR: 0.020000
Training Epoch: 21 [5632/47500]	Loss: 0.4891	LR: 0.020000
Training Epoch: 21 [5888/47500]	Loss: 0.4812	LR: 0.020000
Training Epoch: 21 [6144/47500]	Loss: 0.4510	LR: 0.020000
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Training Epoch: 21 [7168/47500]	Loss: 0.5718	LR: 0.020000
Training Epoch: 21 [7424/47500]	Loss: 0.5077	LR: 0.020000
Training Epoch: 21 [7680/47500]	Loss: 0.5978	LR: 0.020000
Training Epoch: 21 [7936/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 21 [8192/47500]	Loss: 0.6358	LR: 0.020000
Training Epoch: 21 [8448/47500]	Loss: 0.5491	LR: 0.020000
Training Epoch: 21 [8704/47500]	Loss: 0.5495	LR: 0.020000
Training Epoch: 21 [8960/47500]	Loss: 0.6211	LR: 0.020000
Training Epoch: 21 [9216/47500]	Loss: 0.6423	LR: 0.020000
Training Epoch: 21 [9472/47500]	Loss: 0.5492	LR: 0.020000
Training Epoch: 21 [9728/47500]	Loss: 0.6088	LR: 0.020000
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Training Epoch: 21 [10240/47500]	Loss: 0.6179	LR: 0.020000
Training Epoch: 21 [10496/47500]	Loss: 0.5452	LR: 0.020000
Training Epoch: 21 [10752/47500]	Loss: 0.5836	LR: 0.020000
Training Epoch: 21 [11008/47500]	Loss: 0.6282	LR: 0.020000
Training Epoch: 21 [11264/47500]	Loss: 0.4738	LR: 0.020000
Training Epoch: 21 [11520/47500]	Loss: 0.5284	LR: 0.020000
Training Epoch: 21 [11776/47500]	Loss: 0.6003	LR: 0.020000
Training Epoch: 21 [12032/47500]	Loss: 0.5513	LR: 0.020000
Training Epoch: 21 [12288/47500]	Loss: 0.6418	LR: 0.020000
Training Epoch: 21 [12544/47500]	Loss: 0.7796	LR: 0.020000
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Training Epoch: 21 [15872/47500]	Loss: 0.6783	LR: 0.020000
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Training Epoch: 21 [16896/47500]	Loss: 0.5337	LR: 0.020000
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Training Epoch: 21 [40192/47500]	Loss: 0.5495	LR: 0.020000
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Training Epoch: 21 [40704/47500]	Loss: 0.5825	LR: 0.020000
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Training Epoch: 21 [41728/47500]	Loss: 0.6058	LR: 0.020000
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Training Epoch: 21 [42496/47500]	Loss: 0.5781	LR: 0.020000
Training Epoch: 21 [42752/47500]	Loss: 0.6705	LR: 0.020000
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Training Epoch: 21 [43264/47500]	Loss: 0.5196	LR: 0.020000
Training Epoch: 21 [43520/47500]	Loss: 0.7193	LR: 0.020000
Training Epoch: 21 [43776/47500]	Loss: 0.7674	LR: 0.020000
Training Epoch: 21 [44032/47500]	Loss: 0.5986	LR: 0.020000
Training Epoch: 21 [44288/47500]	Loss: 0.6250	LR: 0.020000
Training Epoch: 21 [44544/47500]	Loss: 0.5636	LR: 0.020000
Training Epoch: 21 [44800/47500]	Loss: 0.5595	LR: 0.020000
Training Epoch: 21 [45056/47500]	Loss: 0.4619	LR: 0.020000
Training Epoch: 21 [45312/47500]	Loss: 0.6271	LR: 0.020000
Training Epoch: 21 [45568/47500]	Loss: 0.5767	LR: 0.020000
Training Epoch: 21 [45824/47500]	Loss: 0.5661	LR: 0.020000
Training Epoch: 21 [46080/47500]	Loss: 0.6397	LR: 0.020000
Training Epoch: 21 [46336/47500]	Loss: 0.5643	LR: 0.020000
Training Epoch: 21 [46592/47500]	Loss: 0.7295	LR: 0.020000
Training Epoch: 21 [46848/47500]	Loss: 0.6298	LR: 0.020000
Training Epoch: 21 [47104/47500]	Loss: 0.5640	LR: 0.020000
Training Epoch: 21 [47360/47500]	Loss: 0.5945	LR: 0.020000
Training Epoch: 21 [47500/47500]	Loss: 0.6842	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5886, Train Accuracy: 0.8098
Epoch 21 training time consumed: 26.23s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0035, Accuracy: 0.7323, Time consumed:0.89s
Training Epoch: 22 [256/47500]	Loss: 0.5413	LR: 0.020000
Training Epoch: 22 [512/47500]	Loss: 0.5631	LR: 0.020000
Training Epoch: 22 [768/47500]	Loss: 0.5485	LR: 0.020000
Training Epoch: 22 [1024/47500]	Loss: 0.5393	LR: 0.020000
Training Epoch: 22 [1280/47500]	Loss: 0.6511	LR: 0.020000
Training Epoch: 22 [1536/47500]	Loss: 0.5993	LR: 0.020000
Training Epoch: 22 [1792/47500]	Loss: 0.6017	LR: 0.020000
Training Epoch: 22 [2048/47500]	Loss: 0.6398	LR: 0.020000
Training Epoch: 22 [2304/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 22 [2560/47500]	Loss: 0.6626	LR: 0.020000
Training Epoch: 22 [2816/47500]	Loss: 0.5715	LR: 0.020000
Training Epoch: 22 [3072/47500]	Loss: 0.5296	LR: 0.020000
Training Epoch: 22 [3328/47500]	Loss: 0.5513	LR: 0.020000
Training Epoch: 22 [3584/47500]	Loss: 0.5582	LR: 0.020000
Training Epoch: 22 [3840/47500]	Loss: 0.5541	LR: 0.020000
Training Epoch: 22 [4096/47500]	Loss: 0.5428	LR: 0.020000
Training Epoch: 22 [4352/47500]	Loss: 0.5278	LR: 0.020000
Training Epoch: 22 [4608/47500]	Loss: 0.5679	LR: 0.020000
Training Epoch: 22 [4864/47500]	Loss: 0.6205	LR: 0.020000
Training Epoch: 22 [5120/47500]	Loss: 0.5545	LR: 0.020000
Training Epoch: 22 [5376/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 22 [5632/47500]	Loss: 0.6023	LR: 0.020000
Training Epoch: 22 [5888/47500]	Loss: 0.6921	LR: 0.020000
Training Epoch: 22 [6144/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 22 [6400/47500]	Loss: 0.6496	LR: 0.020000
Training Epoch: 22 [6656/47500]	Loss: 0.6074	LR: 0.020000
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Training Epoch: 22 [7168/47500]	Loss: 0.5861	LR: 0.020000
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Training Epoch: 22 [8448/47500]	Loss: 0.5433	LR: 0.020000
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Training Epoch: 22 [11008/47500]	Loss: 0.6069	LR: 0.020000
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Training Epoch: 22 [11520/47500]	Loss: 0.5284	LR: 0.020000
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Training Epoch: 22 [13312/47500]	Loss: 0.5792	LR: 0.020000
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Training Epoch: 22 [13824/47500]	Loss: 0.5911	LR: 0.020000
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Training Epoch: 22 [15616/47500]	Loss: 0.6948	LR: 0.020000
Training Epoch: 22 [15872/47500]	Loss: 0.5066	LR: 0.020000
Training Epoch: 22 [16128/47500]	Loss: 0.5248	LR: 0.020000
Training Epoch: 22 [16384/47500]	Loss: 0.6140	LR: 0.020000
Training Epoch: 22 [16640/47500]	Loss: 0.5313	LR: 0.020000
Training Epoch: 22 [16896/47500]	Loss: 0.6135	LR: 0.020000
Training Epoch: 22 [17152/47500]	Loss: 0.5144	LR: 0.020000
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Training Epoch: 22 [17920/47500]	Loss: 0.5931	LR: 0.020000
Training Epoch: 22 [18176/47500]	Loss: 0.5852	LR: 0.020000
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Training Epoch: 22 [36352/47500]	Loss: 0.5106	LR: 0.020000
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Training Epoch: 22 [41728/47500]	Loss: 0.5756	LR: 0.020000
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Training Epoch: 22 [42496/47500]	Loss: 0.6991	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.5806	LR: 0.020000
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Training Epoch: 22 [43264/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.6912	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.6628	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.5769	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.5815	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.7259	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.6329	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.6872	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.5549	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.6580	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.6592	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.5627	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.5138	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.5939	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.5555	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.5436	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.5894	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.6871	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5720, Train Accuracy: 0.8152
Epoch 22 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0035, Accuracy: 0.7309, Time consumed:0.91s
Training Epoch: 23 [256/47500]	Loss: 0.5389	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.6057	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.5914	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.5955	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.5904	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.5197	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.5966	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.5155	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.5017	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.6195	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.5722	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.5758	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.5139	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.5467	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.5260	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.5140	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.5574	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.5251	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.5483	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.5882	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.5708	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.5146	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.4949	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.5034	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.4947	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.6617	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.4811	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.5929	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.6198	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.5767	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.5012	LR: 0.020000
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Training Epoch: 23 [9472/47500]	Loss: 0.5401	LR: 0.020000
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Training Epoch: 23 [9984/47500]	Loss: 0.5351	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.5744	LR: 0.020000
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Training Epoch: 23 [10752/47500]	Loss: 0.4764	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.6887	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.5957	LR: 0.020000
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Training Epoch: 23 [11776/47500]	Loss: 0.5649	LR: 0.020000
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Training Epoch: 23 [19200/47500]	Loss: 0.5112	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.4352	LR: 0.020000
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Training Epoch: 23 [22016/47500]	Loss: 0.5273	LR: 0.020000
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Training Epoch: 23 [40192/47500]	Loss: 0.6964	LR: 0.020000
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Training Epoch: 23 [44032/47500]	Loss: 0.5654	LR: 0.020000
Training Epoch: 23 [44288/47500]	Loss: 0.6525	LR: 0.020000
Training Epoch: 23 [44544/47500]	Loss: 0.7050	LR: 0.020000
Training Epoch: 23 [44800/47500]	Loss: 0.5380	LR: 0.020000
Training Epoch: 23 [45056/47500]	Loss: 0.6939	LR: 0.020000
Training Epoch: 23 [45312/47500]	Loss: 0.5318	LR: 0.020000
Training Epoch: 23 [45568/47500]	Loss: 0.5885	LR: 0.020000
Training Epoch: 23 [45824/47500]	Loss: 0.6578	LR: 0.020000
Training Epoch: 23 [46080/47500]	Loss: 0.5409	LR: 0.020000
Training Epoch: 23 [46336/47500]	Loss: 0.4993	LR: 0.020000
Training Epoch: 23 [46592/47500]	Loss: 0.5058	LR: 0.020000
Training Epoch: 23 [46848/47500]	Loss: 0.4639	LR: 0.020000
Training Epoch: 23 [47104/47500]	Loss: 0.5334	LR: 0.020000
Training Epoch: 23 [47360/47500]	Loss: 0.5146	LR: 0.020000
Training Epoch: 23 [47500/47500]	Loss: 0.5593	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5650, Train Accuracy: 0.8162
Epoch 23 training time consumed: 26.07s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0035, Accuracy: 0.7354, Time consumed:0.92s
Training Epoch: 24 [256/47500]	Loss: 0.5326	LR: 0.020000
Training Epoch: 24 [512/47500]	Loss: 0.4797	LR: 0.020000
Training Epoch: 24 [768/47500]	Loss: 0.4777	LR: 0.020000
Training Epoch: 24 [1024/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 24 [1280/47500]	Loss: 0.5040	LR: 0.020000
Training Epoch: 24 [1536/47500]	Loss: 0.4642	LR: 0.020000
Training Epoch: 24 [1792/47500]	Loss: 0.5919	LR: 0.020000
Training Epoch: 24 [2048/47500]	Loss: 0.4835	LR: 0.020000
Training Epoch: 24 [2304/47500]	Loss: 0.5766	LR: 0.020000
Training Epoch: 24 [2560/47500]	Loss: 0.6231	LR: 0.020000
Training Epoch: 24 [2816/47500]	Loss: 0.5120	LR: 0.020000
Training Epoch: 24 [3072/47500]	Loss: 0.4807	LR: 0.020000
Training Epoch: 24 [3328/47500]	Loss: 0.3999	LR: 0.020000
Training Epoch: 24 [3584/47500]	Loss: 0.4074	LR: 0.020000
Training Epoch: 24 [3840/47500]	Loss: 0.4655	LR: 0.020000
Training Epoch: 24 [4096/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 24 [4352/47500]	Loss: 0.5405	LR: 0.020000
Training Epoch: 24 [4608/47500]	Loss: 0.5389	LR: 0.020000
Training Epoch: 24 [4864/47500]	Loss: 0.4816	LR: 0.020000
Training Epoch: 24 [5120/47500]	Loss: 0.5080	LR: 0.020000
Training Epoch: 24 [5376/47500]	Loss: 0.5048	LR: 0.020000
Training Epoch: 24 [5632/47500]	Loss: 0.5740	LR: 0.020000
Training Epoch: 24 [5888/47500]	Loss: 0.5445	LR: 0.020000
Training Epoch: 24 [6144/47500]	Loss: 0.5188	LR: 0.020000
Training Epoch: 24 [6400/47500]	Loss: 0.6261	LR: 0.020000
Training Epoch: 24 [6656/47500]	Loss: 0.5231	LR: 0.020000
Training Epoch: 24 [6912/47500]	Loss: 0.5021	LR: 0.020000
Training Epoch: 24 [7168/47500]	Loss: 0.5251	LR: 0.020000
Training Epoch: 24 [7424/47500]	Loss: 0.5570	LR: 0.020000
Training Epoch: 24 [7680/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 24 [7936/47500]	Loss: 0.5043	LR: 0.020000
Training Epoch: 24 [8192/47500]	Loss: 0.4917	LR: 0.020000
Training Epoch: 24 [8448/47500]	Loss: 0.5995	LR: 0.020000
Training Epoch: 24 [8704/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 24 [8960/47500]	Loss: 0.4721	LR: 0.020000
Training Epoch: 24 [9216/47500]	Loss: 0.5577	LR: 0.020000
Training Epoch: 24 [9472/47500]	Loss: 0.4123	LR: 0.020000
Training Epoch: 24 [9728/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 24 [9984/47500]	Loss: 0.3993	LR: 0.020000
Training Epoch: 24 [10240/47500]	Loss: 0.5518	LR: 0.020000
Training Epoch: 24 [10496/47500]	Loss: 0.4528	LR: 0.020000
Training Epoch: 24 [10752/47500]	Loss: 0.5477	LR: 0.020000
Training Epoch: 24 [11008/47500]	Loss: 0.6196	LR: 0.020000
Training Epoch: 24 [11264/47500]	Loss: 0.5569	LR: 0.020000
Training Epoch: 24 [11520/47500]	Loss: 0.4619	LR: 0.020000
Training Epoch: 24 [11776/47500]	Loss: 0.5950	LR: 0.020000
Training Epoch: 24 [12032/47500]	Loss: 0.4993	LR: 0.020000
Training Epoch: 24 [12288/47500]	Loss: 0.5965	LR: 0.020000
Training Epoch: 24 [12544/47500]	Loss: 0.6084	LR: 0.020000
Training Epoch: 24 [12800/47500]	Loss: 0.5383	LR: 0.020000
Training Epoch: 24 [13056/47500]	Loss: 0.5960	LR: 0.020000
Training Epoch: 24 [13312/47500]	Loss: 0.4942	LR: 0.020000
Training Epoch: 24 [13568/47500]	Loss: 0.5548	LR: 0.020000
Training Epoch: 24 [13824/47500]	Loss: 0.5089	LR: 0.020000
Training Epoch: 24 [14080/47500]	Loss: 0.5311	LR: 0.020000
Training Epoch: 24 [14336/47500]	Loss: 0.4064	LR: 0.020000
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Training Epoch: 24 [15104/47500]	Loss: 0.7014	LR: 0.020000
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Training Epoch: 24 [15616/47500]	Loss: 0.5112	LR: 0.020000
Training Epoch: 24 [15872/47500]	Loss: 0.4690	LR: 0.020000
Training Epoch: 24 [16128/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 24 [16384/47500]	Loss: 0.3992	LR: 0.020000
Training Epoch: 24 [16640/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 24 [16896/47500]	Loss: 0.5524	LR: 0.020000
Training Epoch: 24 [17152/47500]	Loss: 0.5929	LR: 0.020000
Training Epoch: 24 [17408/47500]	Loss: 0.6650	LR: 0.020000
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Training Epoch: 24 [17920/47500]	Loss: 0.5646	LR: 0.020000
Training Epoch: 24 [18176/47500]	Loss: 0.5595	LR: 0.020000
Training Epoch: 24 [18432/47500]	Loss: 0.6541	LR: 0.020000
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Training Epoch: 24 [18944/47500]	Loss: 0.4940	LR: 0.020000
Training Epoch: 24 [19200/47500]	Loss: 0.4896	LR: 0.020000
Training Epoch: 24 [19456/47500]	Loss: 0.5340	LR: 0.020000
Training Epoch: 24 [19712/47500]	Loss: 0.5389	LR: 0.020000
Training Epoch: 24 [19968/47500]	Loss: 0.5861	LR: 0.020000
Training Epoch: 24 [20224/47500]	Loss: 0.5429	LR: 0.020000
Training Epoch: 24 [20480/47500]	Loss: 0.5577	LR: 0.020000
Training Epoch: 24 [20736/47500]	Loss: 0.5131	LR: 0.020000
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Training Epoch: 24 [21504/47500]	Loss: 0.5677	LR: 0.020000
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Training Epoch: 24 [22016/47500]	Loss: 0.5377	LR: 0.020000
Training Epoch: 24 [22272/47500]	Loss: 0.6450	LR: 0.020000
Training Epoch: 24 [22528/47500]	Loss: 0.4787	LR: 0.020000
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Training Epoch: 24 [23040/47500]	Loss: 0.4606	LR: 0.020000
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Training Epoch: 24 [35584/47500]	Loss: 0.7303	LR: 0.020000
Training Epoch: 24 [35840/47500]	Loss: 0.6445	LR: 0.020000
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Training Epoch: 24 [36352/47500]	Loss: 0.5211	LR: 0.020000
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Training Epoch: 24 [39424/47500]	Loss: 0.5300	LR: 0.020000
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Training Epoch: 24 [40192/47500]	Loss: 0.4743	LR: 0.020000
Training Epoch: 24 [40448/47500]	Loss: 0.5811	LR: 0.020000
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Training Epoch: 24 [40960/47500]	Loss: 0.5548	LR: 0.020000
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Training Epoch: 24 [41728/47500]	Loss: 0.6241	LR: 0.020000
Training Epoch: 24 [41984/47500]	Loss: 0.5019	LR: 0.020000
Training Epoch: 24 [42240/47500]	Loss: 0.5053	LR: 0.020000
Training Epoch: 24 [42496/47500]	Loss: 0.5473	LR: 0.020000
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Training Epoch: 24 [43008/47500]	Loss: 0.5478	LR: 0.020000
Training Epoch: 24 [43264/47500]	Loss: 0.4989	LR: 0.020000
Training Epoch: 24 [43520/47500]	Loss: 0.5315	LR: 0.020000
Training Epoch: 24 [43776/47500]	Loss: 0.4457	LR: 0.020000
Training Epoch: 24 [44032/47500]	Loss: 0.4928	LR: 0.020000
Training Epoch: 24 [44288/47500]	Loss: 0.6596	LR: 0.020000
Training Epoch: 24 [44544/47500]	Loss: 0.5345	LR: 0.020000
Training Epoch: 24 [44800/47500]	Loss: 0.5936	LR: 0.020000
Training Epoch: 24 [45056/47500]	Loss: 0.6577	LR: 0.020000
Training Epoch: 24 [45312/47500]	Loss: 0.5575	LR: 0.020000
Training Epoch: 24 [45568/47500]	Loss: 0.5378	LR: 0.020000
Training Epoch: 24 [45824/47500]	Loss: 0.5466	LR: 0.020000
Training Epoch: 24 [46080/47500]	Loss: 0.6283	LR: 0.020000
Training Epoch: 24 [46336/47500]	Loss: 0.5708	LR: 0.020000
Training Epoch: 24 [46592/47500]	Loss: 0.6833	LR: 0.020000
Training Epoch: 24 [46848/47500]	Loss: 0.6253	LR: 0.020000
Training Epoch: 24 [47104/47500]	Loss: 0.5895	LR: 0.020000
Training Epoch: 24 [47360/47500]	Loss: 0.5063	LR: 0.020000
Training Epoch: 24 [47500/47500]	Loss: 0.6892	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5475, Train Accuracy: 0.8222
Epoch 24 training time consumed: 26.25s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0037, Accuracy: 0.7332, Time consumed:0.98s
Training Epoch: 25 [256/47500]	Loss: 0.5233	LR: 0.020000
Training Epoch: 25 [512/47500]	Loss: 0.4820	LR: 0.020000
Training Epoch: 25 [768/47500]	Loss: 0.5265	LR: 0.020000
Training Epoch: 25 [1024/47500]	Loss: 0.5842	LR: 0.020000
Training Epoch: 25 [1280/47500]	Loss: 0.4706	LR: 0.020000
Training Epoch: 25 [1536/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 25 [1792/47500]	Loss: 0.4980	LR: 0.020000
Training Epoch: 25 [2048/47500]	Loss: 0.5833	LR: 0.020000
Training Epoch: 25 [2304/47500]	Loss: 0.4517	LR: 0.020000
Training Epoch: 25 [2560/47500]	Loss: 0.5254	LR: 0.020000
Training Epoch: 25 [2816/47500]	Loss: 0.4769	LR: 0.020000
Training Epoch: 25 [3072/47500]	Loss: 0.5098	LR: 0.020000
Training Epoch: 25 [3328/47500]	Loss: 0.6692	LR: 0.020000
Training Epoch: 25 [3584/47500]	Loss: 0.5318	LR: 0.020000
Training Epoch: 25 [3840/47500]	Loss: 0.6561	LR: 0.020000
Training Epoch: 25 [4096/47500]	Loss: 0.4994	LR: 0.020000
Training Epoch: 25 [4352/47500]	Loss: 0.4901	LR: 0.020000
Training Epoch: 25 [4608/47500]	Loss: 0.5741	LR: 0.020000
Training Epoch: 25 [4864/47500]	Loss: 0.6054	LR: 0.020000
Training Epoch: 25 [5120/47500]	Loss: 0.5511	LR: 0.020000
Training Epoch: 25 [5376/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 25 [5632/47500]	Loss: 0.5606	LR: 0.020000
Training Epoch: 25 [5888/47500]	Loss: 0.5061	LR: 0.020000
Training Epoch: 25 [6144/47500]	Loss: 0.5035	LR: 0.020000
Training Epoch: 25 [6400/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 25 [6656/47500]	Loss: 0.4608	LR: 0.020000
Training Epoch: 25 [6912/47500]	Loss: 0.6144	LR: 0.020000
Training Epoch: 25 [7168/47500]	Loss: 0.4627	LR: 0.020000
Training Epoch: 25 [7424/47500]	Loss: 0.4091	LR: 0.020000
Training Epoch: 25 [7680/47500]	Loss: 0.4692	LR: 0.020000
Training Epoch: 25 [7936/47500]	Loss: 0.5294	LR: 0.020000
Training Epoch: 25 [8192/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 25 [8448/47500]	Loss: 0.5863	LR: 0.020000
Training Epoch: 25 [8704/47500]	Loss: 0.5738	LR: 0.020000
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Training Epoch: 25 [10240/47500]	Loss: 0.4188	LR: 0.020000
Training Epoch: 25 [10496/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 25 [10752/47500]	Loss: 0.5004	LR: 0.020000
Training Epoch: 25 [11008/47500]	Loss: 0.5390	LR: 0.020000
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Training Epoch: 25 [12032/47500]	Loss: 0.5743	LR: 0.020000
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Training Epoch: 25 [13056/47500]	Loss: 0.5279	LR: 0.020000
Training Epoch: 25 [13312/47500]	Loss: 0.4583	LR: 0.020000
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Training Epoch: 25 [15872/47500]	Loss: 0.5933	LR: 0.020000
Training Epoch: 25 [16128/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 25 [16384/47500]	Loss: 0.5264	LR: 0.020000
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Training Epoch: 25 [16896/47500]	Loss: 0.5064	LR: 0.020000
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Training Epoch: 25 [18944/47500]	Loss: 0.4747	LR: 0.020000
Training Epoch: 25 [19200/47500]	Loss: 0.4992	LR: 0.020000
Training Epoch: 25 [19456/47500]	Loss: 0.5141	LR: 0.020000
Training Epoch: 25 [19712/47500]	Loss: 0.4892	LR: 0.020000
Training Epoch: 25 [19968/47500]	Loss: 0.4943	LR: 0.020000
Training Epoch: 25 [20224/47500]	Loss: 0.6297	LR: 0.020000
Training Epoch: 25 [20480/47500]	Loss: 0.5817	LR: 0.020000
Training Epoch: 25 [20736/47500]	Loss: 0.4793	LR: 0.020000
Training Epoch: 25 [20992/47500]	Loss: 0.6692	LR: 0.020000
Training Epoch: 25 [21248/47500]	Loss: 0.5500	LR: 0.020000
Training Epoch: 25 [21504/47500]	Loss: 0.5642	LR: 0.020000
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Training Epoch: 25 [47500/47500]	Loss: 0.4393	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5458, Train Accuracy: 0.8230
Epoch 25 training time consumed: 25.99s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0034, Accuracy: 0.7529, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-25-best.pth
Training Epoch: 26 [256/47500]	Loss: 0.4190	LR: 0.020000
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Training Epoch: 26 [47360/47500]	Loss: 0.4541	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.5480	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5253, Train Accuracy: 0.8286
Epoch 26 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0038, Accuracy: 0.7231, Time consumed:0.90s
Training Epoch: 27 [256/47500]	Loss: 0.4732	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.3855	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.4532	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.4702	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.4276	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.4521	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.4330	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.4680	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.4401	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.3661	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.5654	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.4083	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.4800	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.5449	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.4318	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.5159	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.4029	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.5281	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.4955	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.4486	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.6065	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.5136	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.5089	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.4632	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.4921	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.4265	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.4914	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.5176	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.5166	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.5426	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.4940	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.4388	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.5686	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.4920	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.4625	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.4510	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.3770	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.5787	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.4009	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.5420	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.5036	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.4171	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.4857	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.4876	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.5982	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.5633	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.4577	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.4241	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.4205	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.5332	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.5047	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.5117	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.4856	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.5834	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.4213	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.4693	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.5152	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.4445	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.5116	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.5464	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.6331	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.5698	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.4713	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.5571	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.4432	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.5029	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.5010	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.6284	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.5083	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.4003	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.5236	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.5503	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.5043	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.4284	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.5055	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.5648	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.5258	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.4844	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.5625	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.4370	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.5409	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.5233	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.6345	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.4619	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.6228	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.4891	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.5138	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.5856	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.4232	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.4913	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.5428	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.5435	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.5674	LR: 0.020000
Training Epoch: 27 [25856/47500]	Loss: 0.4742	LR: 0.020000
Training Epoch: 27 [26112/47500]	Loss: 0.5831	LR: 0.020000
Training Epoch: 27 [26368/47500]	Loss: 0.6064	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 27 [26880/47500]	Loss: 0.4630	LR: 0.020000
Training Epoch: 27 [27136/47500]	Loss: 0.5760	LR: 0.020000
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Training Epoch: 27 [27648/47500]	Loss: 0.6193	LR: 0.020000
Training Epoch: 27 [27904/47500]	Loss: 0.5683	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.4561	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.5042	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.4578	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.5800	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.5166	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.6590	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.5984	LR: 0.020000
Training Epoch: 27 [29952/47500]	Loss: 0.5147	LR: 0.020000
Training Epoch: 27 [30208/47500]	Loss: 0.4946	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.5291	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.5300	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.5631	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.5612	LR: 0.020000
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Training Epoch: 27 [31744/47500]	Loss: 0.4834	LR: 0.020000
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Training Epoch: 27 [32256/47500]	Loss: 0.5855	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.5977	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.5788	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.5865	LR: 0.020000
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Training Epoch: 27 [34304/47500]	Loss: 0.5111	LR: 0.020000
Training Epoch: 27 [34560/47500]	Loss: 0.5471	LR: 0.020000
Training Epoch: 27 [34816/47500]	Loss: 0.4975	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.5088	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.6064	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.5596	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.6424	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.5589	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.5351	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.6652	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.5912	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.5298	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.4980	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.4846	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.5365	LR: 0.020000
Training Epoch: 27 [38912/47500]	Loss: 0.5770	LR: 0.020000
Training Epoch: 27 [39168/47500]	Loss: 0.4661	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.3820	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.5213	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.4757	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.6978	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.6053	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.4405	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.5182	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.5368	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.6440	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.4874	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.5189	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.5602	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.5020	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.5383	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.5251	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.5970	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.5896	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.5495	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.5626	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.4264	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.5632	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.5678	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.5851	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.4675	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.6253	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.5042	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.6245	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.5517	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.6537	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5159, Train Accuracy: 0.8336
Epoch 27 training time consumed: 26.03s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0037, Accuracy: 0.7280, Time consumed:0.87s
Training Epoch: 28 [256/47500]	Loss: 0.4330	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.4339	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.4037	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.5560	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.5690	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.5917	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.4454	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.4506	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.5535	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.5306	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.4426	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.4820	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.5165	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.5296	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.4381	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.4618	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.4924	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.4842	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.4985	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.5116	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.4399	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.5097	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.4496	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.5154	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.4755	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.4268	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.4923	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.4102	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.4111	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.4336	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.5561	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.5953	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.5492	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.4239	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.4596	LR: 0.020000
Training Epoch: 28 [9728/47500]	Loss: 0.5363	LR: 0.020000
Training Epoch: 28 [9984/47500]	Loss: 0.4539	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.5402	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.5598	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.5026	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.4774	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.4464	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.4113	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.4684	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.4986	LR: 0.020000
Training Epoch: 28 [12544/47500]	Loss: 0.5301	LR: 0.020000
Training Epoch: 28 [12800/47500]	Loss: 0.5105	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.4689	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.4697	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.5911	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.5385	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.4690	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.5626	LR: 0.020000
Training Epoch: 28 [14848/47500]	Loss: 0.4737	LR: 0.020000
Training Epoch: 28 [15104/47500]	Loss: 0.5019	LR: 0.020000
Training Epoch: 28 [15360/47500]	Loss: 0.4851	LR: 0.020000
Training Epoch: 28 [15616/47500]	Loss: 0.4047	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.4147	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.4726	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.5570	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.5687	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.4585	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.5199	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.5314	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.4701	LR: 0.020000
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Training Epoch: 28 [18176/47500]	Loss: 0.6142	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.6636	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.4668	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.5567	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.4434	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.5035	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.5087	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.4758	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.4872	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.5072	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.4661	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.5075	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.5508	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.5211	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.4638	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.4604	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.5029	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.5562	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.4563	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.4955	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.5042	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.5288	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.4909	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.4134	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.5623	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.4627	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.6000	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.5658	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.5688	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.4682	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.4826	LR: 0.020000
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Training Epoch: 28 [26368/47500]	Loss: 0.5870	LR: 0.020000
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Training Epoch: 28 [28160/47500]	Loss: 0.5793	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.5033	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.5004	LR: 0.020000
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Training Epoch: 28 [29184/47500]	Loss: 0.5100	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.5594	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.5131	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.5471	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.6569	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.5509	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.6047	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.4926	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.5741	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.5811	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.4871	LR: 0.020000
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Training Epoch: 28 [32256/47500]	Loss: 0.5338	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.5326	LR: 0.020000
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Training Epoch: 28 [35584/47500]	Loss: 0.5157	LR: 0.020000
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Training Epoch: 28 [36096/47500]	Loss: 0.5140	LR: 0.020000
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Training Epoch: 28 [37120/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.5359	LR: 0.020000
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Training Epoch: 28 [37888/47500]	Loss: 0.4692	LR: 0.020000
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Training Epoch: 28 [38656/47500]	Loss: 0.4688	LR: 0.020000
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Training Epoch: 28 [40192/47500]	Loss: 0.4198	LR: 0.020000
Training Epoch: 28 [40448/47500]	Loss: 0.5854	LR: 0.020000
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Training Epoch: 28 [40960/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.6518	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.5837	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.4665	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.5796	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.3910	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.4534	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.5228	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.6003	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.4527	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.4863	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.6149	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.5194	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.4875	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.5150	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.5775	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.5310	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.4148	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.4673	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.5096	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.5724	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.6181	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.4877	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.5462	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.6803	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.6623	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5113, Train Accuracy: 0.8316
Epoch 28 training time consumed: 26.03s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0036, Accuracy: 0.7407, Time consumed:0.89s
Training Epoch: 29 [256/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.4135	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.4801	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.5291	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.4228	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.5175	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.5104	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.5811	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.5607	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.5596	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.4517	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.6181	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.5269	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.5232	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.4776	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.4972	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.4642	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.5348	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.4740	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.4929	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.3720	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.4537	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.5606	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.3482	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.4705	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.5145	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.4892	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.5909	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.5235	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.5539	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.6172	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.6088	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.6003	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.4978	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.6121	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.5290	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.5373	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.4142	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.4545	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.5358	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.4961	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.4314	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.4218	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.4128	LR: 0.020000
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Training Epoch: 29 [13568/47500]	Loss: 0.5072	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.5168	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.5330	LR: 0.020000
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Training Epoch: 29 [15616/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.5657	LR: 0.020000
Training Epoch: 29 [16128/47500]	Loss: 0.6108	LR: 0.020000
Training Epoch: 29 [16384/47500]	Loss: 0.5664	LR: 0.020000
Training Epoch: 29 [16640/47500]	Loss: 0.4474	LR: 0.020000
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Training Epoch: 29 [18944/47500]	Loss: 0.4150	LR: 0.020000
Training Epoch: 29 [19200/47500]	Loss: 0.4702	LR: 0.020000
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Training Epoch: 29 [19968/47500]	Loss: 0.4715	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.5005	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.6519	LR: 0.020000
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Training Epoch: 29 [21760/47500]	Loss: 0.5194	LR: 0.020000
Training Epoch: 29 [22016/47500]	Loss: 0.4838	LR: 0.020000
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Training Epoch: 29 [22528/47500]	Loss: 0.5715	LR: 0.020000
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Training Epoch: 29 [23040/47500]	Loss: 0.4427	LR: 0.020000
Training Epoch: 29 [23296/47500]	Loss: 0.6080	LR: 0.020000
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Training Epoch: 29 [25600/47500]	Loss: 0.5657	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.4974	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.4845	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.4647	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.3774	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.5273	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.6070	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.6353	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.5547	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.5348	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.5344	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.5200	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.5400	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.4985	LR: 0.020000
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Training Epoch: 29 [29440/47500]	Loss: 0.4052	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.5900	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.4711	LR: 0.020000
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Training Epoch: 29 [30720/47500]	Loss: 0.4603	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.4805	LR: 0.020000
Training Epoch: 29 [31232/47500]	Loss: 0.5503	LR: 0.020000
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Training Epoch: 29 [32256/47500]	Loss: 0.4558	LR: 0.020000
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Training Epoch: 29 [32768/47500]	Loss: 0.5698	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.5539	LR: 0.020000
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Training Epoch: 29 [35840/47500]	Loss: 0.4754	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.4756	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.4730	LR: 0.020000
Training Epoch: 29 [36608/47500]	Loss: 0.4589	LR: 0.020000
Training Epoch: 29 [36864/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.5261	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.4932	LR: 0.020000
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Training Epoch: 29 [37888/47500]	Loss: 0.5229	LR: 0.020000
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Training Epoch: 29 [38656/47500]	Loss: 0.4764	LR: 0.020000
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Training Epoch: 29 [39424/47500]	Loss: 0.5117	LR: 0.020000
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Training Epoch: 29 [40192/47500]	Loss: 0.5133	LR: 0.020000
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Training Epoch: 29 [40960/47500]	Loss: 0.5411	LR: 0.020000
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Training Epoch: 29 [41728/47500]	Loss: 0.6385	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.6202	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.5661	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.5315	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.5063	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.4896	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.4308	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.5305	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.5303	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.5147	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.4682	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.6233	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.5955	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.4392	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.5509	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.5043	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.4657	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.5607	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.5920	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.5726	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.5151	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.4832	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.4077	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.4656	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5097, Train Accuracy: 0.8339
Epoch 29 training time consumed: 26.01s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0038, Accuracy: 0.7323, Time consumed:0.92s
Training Epoch: 30 [256/47500]	Loss: 0.4683	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.4151	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.4509	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.4641	LR: 0.004000
Training Epoch: 30 [1280/47500]	Loss: 0.5366	LR: 0.004000
Training Epoch: 30 [1536/47500]	Loss: 0.4699	LR: 0.004000
Training Epoch: 30 [1792/47500]	Loss: 0.4348	LR: 0.004000
Training Epoch: 30 [2048/47500]	Loss: 0.5057	LR: 0.004000
Training Epoch: 30 [2304/47500]	Loss: 0.4463	LR: 0.004000
Training Epoch: 30 [2560/47500]	Loss: 0.3706	LR: 0.004000
Training Epoch: 30 [2816/47500]	Loss: 0.5018	LR: 0.004000
Training Epoch: 30 [3072/47500]	Loss: 0.3536	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.4549	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3883, Train Accuracy: 0.8797
Epoch 30 training time consumed: 26.26s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0029, Accuracy: 0.7852, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.3298	LR: 0.004000
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Training Epoch: 31 [43520/47500]	Loss: 0.3607	LR: 0.004000
Training Epoch: 31 [43776/47500]	Loss: 0.3727	LR: 0.004000
Training Epoch: 31 [44032/47500]	Loss: 0.3618	LR: 0.004000
Training Epoch: 31 [44288/47500]	Loss: 0.3275	LR: 0.004000
Training Epoch: 31 [44544/47500]	Loss: 0.3739	LR: 0.004000
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Training Epoch: 31 [45056/47500]	Loss: 0.3986	LR: 0.004000
Training Epoch: 31 [45312/47500]	Loss: 0.3480	LR: 0.004000
Training Epoch: 31 [45568/47500]	Loss: 0.3344	LR: 0.004000
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Training Epoch: 31 [46336/47500]	Loss: 0.4384	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.3195	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.3943	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3532, Train Accuracy: 0.8909
Epoch 31 training time consumed: 26.11s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0029, Accuracy: 0.7845, Time consumed:0.89s
Training Epoch: 32 [256/47500]	Loss: 0.3477	LR: 0.004000
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Training Epoch: 32 [1280/47500]	Loss: 0.4022	LR: 0.004000
Training Epoch: 32 [1536/47500]	Loss: 0.2636	LR: 0.004000
Training Epoch: 32 [1792/47500]	Loss: 0.3396	LR: 0.004000
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Training Epoch: 32 [2816/47500]	Loss: 0.4044	LR: 0.004000
Training Epoch: 32 [3072/47500]	Loss: 0.3291	LR: 0.004000
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Training Epoch: 32 [47360/47500]	Loss: 0.3815	LR: 0.004000
Training Epoch: 32 [47500/47500]	Loss: 0.4484	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3367, Train Accuracy: 0.8976
Epoch 32 training time consumed: 26.03s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0029, Accuracy: 0.7858, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-32-best.pth
Training Epoch: 33 [256/47500]	Loss: 0.3132	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.3292	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.2841	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.3004	LR: 0.004000
Training Epoch: 33 [1280/47500]	Loss: 0.3188	LR: 0.004000
Training Epoch: 33 [1536/47500]	Loss: 0.3859	LR: 0.004000
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Training Epoch: 33 [5632/47500]	Loss: 0.2806	LR: 0.004000
Training Epoch: 33 [5888/47500]	Loss: 0.2896	LR: 0.004000
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Training Epoch: 33 [6656/47500]	Loss: 0.2989	LR: 0.004000
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Training Epoch: 33 [7168/47500]	Loss: 0.3277	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.3044	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.3607	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.3192	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.2996	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.3504	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.3130	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.2841	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.3354	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.3089	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.3471	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.2604	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.3052	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.3382	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.2543	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.3785	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.3555	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.3354	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.3397	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.3332	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.3610	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.2300	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.4067	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.2788	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.4065	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.3503	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.3801	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.3540	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.3133	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.2428	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.4036	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.3285	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.3336	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.2827	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.3177	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.3655	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.3031	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.2963	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.2655	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.4279	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.3569	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.3620	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.4269	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.3468	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.2967	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.3556	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.3671	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.2948	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.3187	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.3922	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.2795	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.3260	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.3079	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.3471	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.2903	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.2979	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.3956	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.3785	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.2733	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.2968	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.3503	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.3889	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.3049	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.3554	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.2700	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.3604	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.3545	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.3235	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.3420	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.3353	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.3386	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.2121	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.2999	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.3116	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.3042	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.3062	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.2918	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.4093	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.3202	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.3098	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.3694	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.2939	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.3291	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.3449	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.3668	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.2885	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.2983	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.2904	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.2922	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.3070	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.3047	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.3012	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.3446	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.3205	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.3711	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.3469	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.2935	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.3089	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.3374	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.3188	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.2969	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.3218	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.3205	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.3106	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.3543	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.3133	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.4024	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.3888	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.3602	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.3318	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.3899	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.2877	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.3820	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.3150	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.3786	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.3710	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.2610	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.3701	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.3267	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.3271	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.2880	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.3348	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.2467	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.3795	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.2424	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.3944	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.3028	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.3513	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.4036	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.4245	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.2964	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.3822	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.2914	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.3387	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.3239	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.2941	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.3150	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.3284	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.3174	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.3797	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.2555	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.3719	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.3234	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.4090	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.4146	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.3611	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.2830	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.3548	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.4018	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.2941	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.3054	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.4492	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.2699	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.3299	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.3205	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.2289	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.2639	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.2936	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3275, Train Accuracy: 0.8986
Epoch 33 training time consumed: 26.07s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7803, Time consumed:0.93s
Training Epoch: 34 [256/47500]	Loss: 0.2797	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.3484	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.2991	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.3424	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.3405	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.3461	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.2771	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.3459	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.2682	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.2886	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.3411	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.3209	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.2540	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.2710	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.3771	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.3097	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.3146	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.3506	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.2568	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.3327	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.3210	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.3178	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.2748	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.2285	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.2334	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.2843	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.2703	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.3095	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.3523	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.2956	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.3738	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.3770	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.2913	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.3293	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.2830	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.3847	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.3445	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.3663	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.2963	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.3708	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.3062	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.4011	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.2946	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.3061	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.3142	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.3611	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.3574	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.2544	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.3459	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.3280	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.3727	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.3474	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.3566	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.3972	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.3854	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.3300	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.4107	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.3372	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.2930	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.2642	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.3216	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.3352	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.2666	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.2888	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.2640	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.2511	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.2808	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.2961	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.3370	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.3377	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.3080	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.4133	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.3053	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.2789	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.3751	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.3021	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.3193	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.2845	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.3050	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.3202	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.3253	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.2529	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.2745	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.2811	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.3639	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.2951	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.2920	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.3213	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.3097	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.3982	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.3594	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.3237	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.3255	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.2868	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.2790	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.3009	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.3713	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.3984	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.3449	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.3177	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.3374	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.3028	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.3314	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.3743	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.3154	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.2570	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.3486	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.2566	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.2950	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.3700	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.3383	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.3081	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.2545	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.2796	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.3238	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.2789	LR: 0.004000
Training Epoch: 34 [30208/47500]	Loss: 0.3533	LR: 0.004000
Training Epoch: 34 [30464/47500]	Loss: 0.3318	LR: 0.004000
Training Epoch: 34 [30720/47500]	Loss: 0.2905	LR: 0.004000
Training Epoch: 34 [30976/47500]	Loss: 0.3222	LR: 0.004000
Training Epoch: 34 [31232/47500]	Loss: 0.2695	LR: 0.004000
Training Epoch: 34 [31488/47500]	Loss: 0.4512	LR: 0.004000
Training Epoch: 34 [31744/47500]	Loss: 0.3293	LR: 0.004000
Training Epoch: 34 [32000/47500]	Loss: 0.3164	LR: 0.004000
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Training Epoch: 34 [43520/47500]	Loss: 0.2894	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.3421	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.3045	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.3295	LR: 0.004000
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Training Epoch: 34 [44800/47500]	Loss: 0.3383	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.3553	LR: 0.004000
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Training Epoch: 34 [45568/47500]	Loss: 0.3321	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.3555	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.3083	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.4502	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.3171	LR: 0.004000
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Training Epoch: 34 [47104/47500]	Loss: 0.3667	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.2349	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.2426	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3207, Train Accuracy: 0.9018
Epoch 34 training time consumed: 26.05s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7846, Time consumed:0.93s
Training Epoch: 35 [256/47500]	Loss: 0.2653	LR: 0.000800
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Training Epoch: 35 [1280/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.3272	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.2762	LR: 0.000800
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Training Epoch: 35 [3072/47500]	Loss: 0.3190	LR: 0.000800
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Training Epoch: 35 [8448/47500]	Loss: 0.3342	LR: 0.000800
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Training Epoch: 35 [46336/47500]	Loss: 0.2974	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.2655	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.2985	LR: 0.000800
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Training Epoch: 35 [47360/47500]	Loss: 0.3012	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.2981	LR: 0.000800
Epoch 35 - Average Train Loss: 0.2965, Train Accuracy: 0.9094
Epoch 35 training time consumed: 26.28s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7896, Time consumed:0.90s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.3624	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.2735	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.3089	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.3232	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.2530	LR: 0.000800
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Training Epoch: 36 [47360/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.3487	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2923, Train Accuracy: 0.9139
Epoch 36 training time consumed: 25.99s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.7900, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_56m_58s/AllCNN-Cifar20-seed3-ret50-36-best.pth
Training Epoch: 37 [256/47500]	Loss: 0.2797	LR: 0.000800
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Training Epoch: 37 [34560/47500]	Loss: 0.2811	LR: 0.000800
Training Epoch: 37 [34816/47500]	Loss: 0.3090	LR: 0.000800
Training Epoch: 37 [35072/47500]	Loss: 0.2509	LR: 0.000800
Training Epoch: 37 [35328/47500]	Loss: 0.2938	LR: 0.000800
Training Epoch: 37 [35584/47500]	Loss: 0.2830	LR: 0.000800
Training Epoch: 37 [35840/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 37 [36096/47500]	Loss: 0.2564	LR: 0.000800
Training Epoch: 37 [36352/47500]	Loss: 0.2971	LR: 0.000800
Training Epoch: 37 [36608/47500]	Loss: 0.2418	LR: 0.000800
Training Epoch: 37 [36864/47500]	Loss: 0.3914	LR: 0.000800
Training Epoch: 37 [37120/47500]	Loss: 0.3228	LR: 0.000800
Training Epoch: 37 [37376/47500]	Loss: 0.2791	LR: 0.000800
Training Epoch: 37 [37632/47500]	Loss: 0.3453	LR: 0.000800
Training Epoch: 37 [37888/47500]	Loss: 0.2726	LR: 0.000800
Training Epoch: 37 [38144/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 37 [38400/47500]	Loss: 0.3624	LR: 0.000800
Training Epoch: 37 [38656/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 37 [38912/47500]	Loss: 0.2760	LR: 0.000800
Training Epoch: 37 [39168/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 37 [39424/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 37 [39680/47500]	Loss: 0.2147	LR: 0.000800
Training Epoch: 37 [39936/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 37 [40192/47500]	Loss: 0.3299	LR: 0.000800
Training Epoch: 37 [40448/47500]	Loss: 0.3151	LR: 0.000800
Training Epoch: 37 [40704/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 37 [40960/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 37 [41216/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 37 [41472/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 37 [41728/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 37 [41984/47500]	Loss: 0.2591	LR: 0.000800
Training Epoch: 37 [42240/47500]	Loss: 0.3183	LR: 0.000800
Training Epoch: 37 [42496/47500]	Loss: 0.3467	LR: 0.000800
Training Epoch: 37 [42752/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 37 [43008/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 37 [43264/47500]	Loss: 0.2727	LR: 0.000800
Training Epoch: 37 [43520/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 37 [43776/47500]	Loss: 0.2868	LR: 0.000800
Training Epoch: 37 [44032/47500]	Loss: 0.2624	LR: 0.000800
Training Epoch: 37 [44288/47500]	Loss: 0.3139	LR: 0.000800
Training Epoch: 37 [44544/47500]	Loss: 0.3992	LR: 0.000800
Training Epoch: 37 [44800/47500]	Loss: 0.2311	LR: 0.000800
Training Epoch: 37 [45056/47500]	Loss: 0.2551	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.3372	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.2767	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.2456	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.2908	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.2245	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.3356	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.3111	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.2865	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2866, Train Accuracy: 0.9135
Epoch 37 training time consumed: 26.69s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.7898, Time consumed:0.99s
Training Epoch: 38 [256/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 38 [512/47500]	Loss: 0.3404	LR: 0.000800
Training Epoch: 38 [768/47500]	Loss: 0.2594	LR: 0.000800
Training Epoch: 38 [1024/47500]	Loss: 0.2901	LR: 0.000800
Training Epoch: 38 [1280/47500]	Loss: 0.3560	LR: 0.000800
Training Epoch: 38 [1536/47500]	Loss: 0.2853	LR: 0.000800
Training Epoch: 38 [1792/47500]	Loss: 0.3078	LR: 0.000800
Training Epoch: 38 [2048/47500]	Loss: 0.3128	LR: 0.000800
Training Epoch: 38 [2304/47500]	Loss: 0.2555	LR: 0.000800
Training Epoch: 38 [2560/47500]	Loss: 0.3351	LR: 0.000800
Training Epoch: 38 [2816/47500]	Loss: 0.2813	LR: 0.000800
Training Epoch: 38 [3072/47500]	Loss: 0.2484	LR: 0.000800
Training Epoch: 38 [3328/47500]	Loss: 0.2584	LR: 0.000800
Training Epoch: 38 [3584/47500]	Loss: 0.2682	LR: 0.000800
Training Epoch: 38 [3840/47500]	Loss: 0.2222	LR: 0.000800
Training Epoch: 38 [4096/47500]	Loss: 0.2166	LR: 0.000800
Training Epoch: 38 [4352/47500]	Loss: 0.3037	LR: 0.000800
Training Epoch: 38 [4608/47500]	Loss: 0.3377	LR: 0.000800
Training Epoch: 38 [4864/47500]	Loss: 0.3092	LR: 0.000800
Training Epoch: 38 [5120/47500]	Loss: 0.2766	LR: 0.000800
Training Epoch: 38 [5376/47500]	Loss: 0.2944	LR: 0.000800
Training Epoch: 38 [5632/47500]	Loss: 0.2692	LR: 0.000800
Training Epoch: 38 [5888/47500]	Loss: 0.2189	LR: 0.000800
Training Epoch: 38 [6144/47500]	Loss: 0.3477	LR: 0.000800
Training Epoch: 38 [6400/47500]	Loss: 0.2969	LR: 0.000800
Training Epoch: 38 [6656/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 38 [6912/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 38 [7168/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 38 [7424/47500]	Loss: 0.2230	LR: 0.000800
Training Epoch: 38 [7680/47500]	Loss: 0.2824	LR: 0.000800
Training Epoch: 38 [7936/47500]	Loss: 0.2475	LR: 0.000800
Training Epoch: 38 [8192/47500]	Loss: 0.3709	LR: 0.000800
Training Epoch: 38 [8448/47500]	Loss: 0.2287	LR: 0.000800
Training Epoch: 38 [8704/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 38 [8960/47500]	Loss: 0.2615	LR: 0.000800
Training Epoch: 38 [9216/47500]	Loss: 0.3124	LR: 0.000800
Training Epoch: 38 [9472/47500]	Loss: 0.2212	LR: 0.000800
Training Epoch: 38 [9728/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 38 [9984/47500]	Loss: 0.1955	LR: 0.000800
Training Epoch: 38 [10240/47500]	Loss: 0.2571	LR: 0.000800
Training Epoch: 38 [10496/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 38 [10752/47500]	Loss: 0.2828	LR: 0.000800
Training Epoch: 38 [11008/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 38 [11264/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 38 [11520/47500]	Loss: 0.2368	LR: 0.000800
Training Epoch: 38 [11776/47500]	Loss: 0.2318	LR: 0.000800
Training Epoch: 38 [12032/47500]	Loss: 0.3025	LR: 0.000800
Training Epoch: 38 [12288/47500]	Loss: 0.3103	LR: 0.000800
Training Epoch: 38 [12544/47500]	Loss: 0.3057	LR: 0.000800
Training Epoch: 38 [12800/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 38 [13056/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 38 [13312/47500]	Loss: 0.3147	LR: 0.000800
Training Epoch: 38 [13568/47500]	Loss: 0.3160	LR: 0.000800
Training Epoch: 38 [13824/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 38 [14080/47500]	Loss: 0.3230	LR: 0.000800
Training Epoch: 38 [14336/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 38 [14592/47500]	Loss: 0.2438	LR: 0.000800
Training Epoch: 38 [14848/47500]	Loss: 0.3135	LR: 0.000800
Training Epoch: 38 [15104/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 38 [15360/47500]	Loss: 0.2703	LR: 0.000800
Training Epoch: 38 [15616/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 38 [15872/47500]	Loss: 0.2958	LR: 0.000800
Training Epoch: 38 [16128/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 38 [16384/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 38 [16640/47500]	Loss: 0.3157	LR: 0.000800
Training Epoch: 38 [16896/47500]	Loss: 0.3286	LR: 0.000800
Training Epoch: 38 [17152/47500]	Loss: 0.2960	LR: 0.000800
Training Epoch: 38 [17408/47500]	Loss: 0.3125	LR: 0.000800
Training Epoch: 38 [17664/47500]	Loss: 0.3275	LR: 0.000800
Training Epoch: 38 [17920/47500]	Loss: 0.2640	LR: 0.000800
Training Epoch: 38 [18176/47500]	Loss: 0.2546	LR: 0.000800
Training Epoch: 38 [18432/47500]	Loss: 0.3112	LR: 0.000800
Training Epoch: 38 [18688/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 38 [18944/47500]	Loss: 0.1793	LR: 0.000800
Training Epoch: 38 [19200/47500]	Loss: 0.3567	LR: 0.000800
Training Epoch: 38 [19456/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 38 [19712/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 38 [19968/47500]	Loss: 0.3030	LR: 0.000800
Training Epoch: 38 [20224/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 38 [20480/47500]	Loss: 0.2903	LR: 0.000800
Training Epoch: 38 [20736/47500]	Loss: 0.2713	LR: 0.000800
Training Epoch: 38 [20992/47500]	Loss: 0.2371	LR: 0.000800
Training Epoch: 38 [21248/47500]	Loss: 0.2333	LR: 0.000800
Training Epoch: 38 [21504/47500]	Loss: 0.2435	LR: 0.000800
Training Epoch: 38 [21760/47500]	Loss: 0.2478	LR: 0.000800
Training Epoch: 38 [22016/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 38 [22272/47500]	Loss: 0.2426	LR: 0.000800
Training Epoch: 38 [22528/47500]	Loss: 0.2412	LR: 0.000800
Training Epoch: 38 [22784/47500]	Loss: 0.3075	LR: 0.000800
Training Epoch: 38 [23040/47500]	Loss: 0.2812	LR: 0.000800
Training Epoch: 38 [23296/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 38 [23552/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 38 [23808/47500]	Loss: 0.2844	LR: 0.000800
Training Epoch: 38 [24064/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 38 [24320/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 38 [24576/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 38 [24832/47500]	Loss: 0.3316	LR: 0.000800
Training Epoch: 38 [25088/47500]	Loss: 0.3948	LR: 0.000800
Training Epoch: 38 [25344/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 38 [25600/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 38 [25856/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 38 [26112/47500]	Loss: 0.2573	LR: 0.000800
Training Epoch: 38 [26368/47500]	Loss: 0.2496	LR: 0.000800
Training Epoch: 38 [26624/47500]	Loss: 0.3106	LR: 0.000800
Training Epoch: 38 [26880/47500]	Loss: 0.3363	LR: 0.000800
Training Epoch: 38 [27136/47500]	Loss: 0.3368	LR: 0.000800
Training Epoch: 38 [27392/47500]	Loss: 0.2596	LR: 0.000800
Training Epoch: 38 [27648/47500]	Loss: 0.3328	LR: 0.000800
Training Epoch: 38 [27904/47500]	Loss: 0.2227	LR: 0.000800
Training Epoch: 38 [28160/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 38 [28416/47500]	Loss: 0.2878	LR: 0.000800
Training Epoch: 38 [28672/47500]	Loss: 0.2526	LR: 0.000800
Training Epoch: 38 [28928/47500]	Loss: 0.3204	LR: 0.000800
Training Epoch: 38 [29184/47500]	Loss: 0.2407	LR: 0.000800
Training Epoch: 38 [29440/47500]	Loss: 0.3021	LR: 0.000800
Training Epoch: 38 [29696/47500]	Loss: 0.2860	LR: 0.000800
Training Epoch: 38 [29952/47500]	Loss: 0.2413	LR: 0.000800
Training Epoch: 38 [30208/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 38 [30464/47500]	Loss: 0.3346	LR: 0.000800
Training Epoch: 38 [30720/47500]	Loss: 0.2173	LR: 0.000800
Training Epoch: 38 [30976/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 38 [31232/47500]	Loss: 0.2373	LR: 0.000800
Training Epoch: 38 [31488/47500]	Loss: 0.2776	LR: 0.000800
Training Epoch: 38 [31744/47500]	Loss: 0.3185	LR: 0.000800
Training Epoch: 38 [32000/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 38 [32256/47500]	Loss: 0.3550	LR: 0.000800
Training Epoch: 38 [32512/47500]	Loss: 0.2116	LR: 0.000800
Training Epoch: 38 [32768/47500]	Loss: 0.2557	LR: 0.000800
Training Epoch: 38 [33024/47500]	Loss: 0.2133	LR: 0.000800
Training Epoch: 38 [33280/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 38 [33536/47500]	Loss: 0.2141	LR: 0.000800
Training Epoch: 38 [33792/47500]	Loss: 0.2858	LR: 0.000800
Training Epoch: 38 [34048/47500]	Loss: 0.2570	LR: 0.000800
Training Epoch: 38 [34304/47500]	Loss: 0.2209	LR: 0.000800
Training Epoch: 38 [34560/47500]	Loss: 0.2770	LR: 0.000800
Training Epoch: 38 [34816/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 38 [35072/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 38 [35328/47500]	Loss: 0.3565	LR: 0.000800
Training Epoch: 38 [35584/47500]	Loss: 0.3235	LR: 0.000800
Training Epoch: 38 [35840/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 38 [36096/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 38 [36352/47500]	Loss: 0.3477	LR: 0.000800
Training Epoch: 38 [36608/47500]	Loss: 0.3155	LR: 0.000800
Training Epoch: 38 [36864/47500]	Loss: 0.3146	LR: 0.000800
Training Epoch: 38 [37120/47500]	Loss: 0.2613	LR: 0.000800
Training Epoch: 38 [37376/47500]	Loss: 0.2395	LR: 0.000800
Training Epoch: 38 [37632/47500]	Loss: 0.2710	LR: 0.000800
Training Epoch: 38 [37888/47500]	Loss: 0.3206	LR: 0.000800
Training Epoch: 38 [38144/47500]	Loss: 0.2745	LR: 0.000800
Training Epoch: 38 [38400/47500]	Loss: 0.3073	LR: 0.000800
Training Epoch: 38 [38656/47500]	Loss: 0.2433	LR: 0.000800
Training Epoch: 38 [38912/47500]	Loss: 0.3084	LR: 0.000800
Training Epoch: 38 [39168/47500]	Loss: 0.3257	LR: 0.000800
Training Epoch: 38 [39424/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 38 [39680/47500]	Loss: 0.3241	LR: 0.000800
Training Epoch: 38 [39936/47500]	Loss: 0.3418	LR: 0.000800
Training Epoch: 38 [40192/47500]	Loss: 0.2470	LR: 0.000800
Training Epoch: 38 [40448/47500]	Loss: 0.3444	LR: 0.000800
Training Epoch: 38 [40704/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 38 [40960/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 38 [41216/47500]	Loss: 0.3123	LR: 0.000800
Training Epoch: 38 [41472/47500]	Loss: 0.3695	LR: 0.000800
Training Epoch: 38 [41728/47500]	Loss: 0.2600	LR: 0.000800
Training Epoch: 38 [41984/47500]	Loss: 0.3131	LR: 0.000800
Training Epoch: 38 [42240/47500]	Loss: 0.2265	LR: 0.000800
Training Epoch: 38 [42496/47500]	Loss: 0.2646	LR: 0.000800
Training Epoch: 38 [42752/47500]	Loss: 0.3501	LR: 0.000800
Training Epoch: 38 [43008/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 38 [43264/47500]	Loss: 0.3036	LR: 0.000800
Training Epoch: 38 [43520/47500]	Loss: 0.2751	LR: 0.000800
Training Epoch: 38 [43776/47500]	Loss: 0.2419	LR: 0.000800
Training Epoch: 38 [44032/47500]	Loss: 0.2732	LR: 0.000800
Training Epoch: 38 [44288/47500]	Loss: 0.2340	LR: 0.000800
Training Epoch: 38 [44544/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 38 [44800/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 38 [45056/47500]	Loss: 0.3198	LR: 0.000800
Training Epoch: 38 [45312/47500]	Loss: 0.3642	LR: 0.000800
Training Epoch: 38 [45568/47500]	Loss: 0.3039	LR: 0.000800
Training Epoch: 38 [45824/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 38 [46080/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 38 [46336/47500]	Loss: 0.2493	LR: 0.000800
Training Epoch: 38 [46592/47500]	Loss: 0.3202	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 38 [47104/47500]	Loss: 0.3304	LR: 0.000800
Training Epoch: 38 [47360/47500]	Loss: 0.3236	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.2996	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2847, Train Accuracy: 0.9152
Epoch 38 training time consumed: 26.21s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7896, Time consumed:0.97s
Training Epoch: 39 [256/47500]	Loss: 0.3241	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.2885	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.3693	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.2434	LR: 0.000800
Training Epoch: 39 [1792/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 39 [2048/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 39 [2304/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 39 [2560/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 39 [2816/47500]	Loss: 0.2410	LR: 0.000800
Training Epoch: 39 [3072/47500]	Loss: 0.2917	LR: 0.000800
Training Epoch: 39 [3328/47500]	Loss: 0.2508	LR: 0.000800
Training Epoch: 39 [3584/47500]	Loss: 0.2107	LR: 0.000800
Training Epoch: 39 [3840/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 39 [4096/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 39 [4352/47500]	Loss: 0.3210	LR: 0.000800
Training Epoch: 39 [4608/47500]	Loss: 0.2325	LR: 0.000800
Training Epoch: 39 [4864/47500]	Loss: 0.2296	LR: 0.000800
Training Epoch: 39 [5120/47500]	Loss: 0.2387	LR: 0.000800
Training Epoch: 39 [5376/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 39 [5632/47500]	Loss: 0.3290	LR: 0.000800
Training Epoch: 39 [5888/47500]	Loss: 0.3755	LR: 0.000800
Training Epoch: 39 [6144/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 39 [6400/47500]	Loss: 0.2446	LR: 0.000800
Training Epoch: 39 [6656/47500]	Loss: 0.3069	LR: 0.000800
Training Epoch: 39 [6912/47500]	Loss: 0.2634	LR: 0.000800
Training Epoch: 39 [7168/47500]	Loss: 0.3127	LR: 0.000800
Training Epoch: 39 [7424/47500]	Loss: 0.3060	LR: 0.000800
Training Epoch: 39 [7680/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 39 [7936/47500]	Loss: 0.2424	LR: 0.000800
Training Epoch: 39 [8192/47500]	Loss: 0.2475	LR: 0.000800
Training Epoch: 39 [8448/47500]	Loss: 0.2605	LR: 0.000800
Training Epoch: 39 [8704/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 39 [8960/47500]	Loss: 0.3285	LR: 0.000800
Training Epoch: 39 [9216/47500]	Loss: 0.2548	LR: 0.000800
Training Epoch: 39 [9472/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 39 [9728/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 39 [9984/47500]	Loss: 0.2425	LR: 0.000800
Training Epoch: 39 [10240/47500]	Loss: 0.2680	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.1832	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.2429	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.2643	LR: 0.000800
Training Epoch: 39 [11520/47500]	Loss: 0.2476	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.2181	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.3222	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.3030	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.2529	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.3723	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.3063	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.3056	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.2599	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.2442	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.2535	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.3101	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.2879	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.3551	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.2569	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.2861	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.2910	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.2580	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.2686	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.2907	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.3050	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.2385	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.3220	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.2915	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.2704	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.2300	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.2893	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.2755	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.2508	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.3410	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.3571	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.2121	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.2750	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.3399	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.2441	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.3162	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.2544	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.2933	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.3188	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.3376	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.3123	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.3003	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.2616	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.3280	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.2134	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.2179	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.3656	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.2321	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.3175	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.2451	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.2684	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.2197	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.2603	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.2490	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.2706	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.3416	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.2787	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.3212	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.3329	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.2374	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.2843	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.2746	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.2501	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.3278	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.2481	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.3264	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.2148	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.3058	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.2536	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.3370	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.3030	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.2445	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.2793	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.3431	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.3264	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.3052	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.2324	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.3326	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.2587	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.2896	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.3632	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.2673	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.3177	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.2398	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.3763	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.2441	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.2795	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.2866	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.3102	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.2782	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.2992	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.3358	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.3182	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.2147	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.2736	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.3154	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.3868	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.2229	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.2621	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.2660	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.2699	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.2211	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.3110	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.3151	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.2871	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.3398	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.3295	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2830, Train Accuracy: 0.9169
Epoch 39 training time consumed: 26.10s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7887, Time consumed:0.88s
Training Epoch: 40 [256/47500]	Loss: 0.3156	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.3153	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.3014	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.2283	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.3518	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.2585	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.2724	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.3189	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.2618	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.2785	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.2455	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.3346	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.2446	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.3287	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.2579	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.2506	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.2668	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.3158	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.2707	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.3472	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.2606	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.2368	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.2395	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.2531	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.2747	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.3432	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.3371	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.2119	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.2102	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.2900	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.3071	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.2095	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.2762	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.2811	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.2608	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.2034	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.2568	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.3425	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.2316	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.2689	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.2869	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.3749	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.2428	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.2282	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.2602	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.2601	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.2620	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.2526	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.2683	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.3009	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.2104	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.2693	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.2547	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.2380	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.2815	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.2898	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.2715	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.2252	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.2702	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.3267	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.2518	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.2238	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.2204	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.2375	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.2573	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.3471	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.3027	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.3104	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.3249	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.2299	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.2565	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.2983	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.2242	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.2425	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.3997	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.2759	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.2748	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.2430	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.3407	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.2348	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.3040	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.3126	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.3420	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.4146	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.3236	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.2948	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.2779	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.2090	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.3250	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.2394	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.3150	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.2708	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.2997	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.2919	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.3256	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.2041	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.3587	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.3399	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.2218	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.2842	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.2230	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.2806	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.2833	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.2882	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.3225	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.3165	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.2914	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.2681	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.3223	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.2299	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.2566	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.3130	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.2625	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.3234	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.3422	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.3064	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.2324	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.3327	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.2466	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.2551	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.2968	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.2520	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.2186	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.3143	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.2641	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.2921	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.3022	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.2850	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.2589	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.2183	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.2613	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.2472	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.2940	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.2617	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.2507	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.2940	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.2920	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.2577	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.2872	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.2262	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.3004	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.2452	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.2430	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.2719	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.2359	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.2293	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.2577	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.3202	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.3252	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.3241	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.2489	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.2838	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.2645	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.2731	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.3145	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2776, Train Accuracy: 0.9186
Epoch 40 training time consumed: 26.18s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.7895, Time consumed:0.93s
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: 79.150390625
Retain Accuracy: 92.60025787353516
Zero-Retain Forget (ZRF): 0.9137277007102966
Membership Inference Attack (MIA): 0.5488
Forget vs Retain Membership Inference Attack (MIA): 0.524
Forget vs Test Membership Inference Attack (MIA): 0.549
Test vs Retain Membership Inference Attack (MIA): 0.48175
Train vs Test Membership Inference Attack (MIA): 0.5625
Forget Set Accuracy (Df): 76.4660415649414
Method Execution Time: 1579.89 seconds
