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

📊 Updated class distribution:
Retain set:
  Class 0: 475
  Class 1: 475
  Class 2: 475
  Class 3: 475
  Class 4: 475
  Class 5: 475
  Class 6: 475
  Class 7: 475
  Class 8: 475
  Class 9: 475
  Class 10: 475
  Class 11: 475
  Class 12: 475
  Class 13: 475
  Class 14: 475
  Class 15: 475
  Class 16: 475
  Class 17: 475
  Class 18: 475
  Class 19: 475
  Class 20: 475
  Class 21: 475
  Class 22: 475
  Class 23: 475
  Class 24: 475
  Class 25: 475
  Class 26: 475
  Class 27: 475
  Class 28: 475
  Class 29: 475
  Class 30: 475
  Class 31: 475
  Class 32: 475
  Class 33: 475
  Class 34: 475
  Class 35: 475
  Class 36: 475
  Class 37: 475
  Class 38: 475
  Class 39: 475
  Class 40: 475
  Class 41: 475
  Class 42: 475
  Class 43: 475
  Class 44: 475
  Class 45: 475
  Class 46: 475
  Class 47: 475
  Class 48: 475
  Class 49: 475
  Class 50: 475
  Class 51: 475
  Class 52: 475
  Class 53: 475
  Class 54: 475
  Class 55: 475
  Class 56: 475
  Class 57: 475
  Class 58: 475
  Class 59: 475
  Class 60: 475
  Class 61: 475
  Class 62: 475
  Class 63: 475
  Class 64: 475
  Class 65: 475
  Class 66: 475
  Class 67: 475
  Class 68: 475
  Class 69: 475
  Class 70: 475
  Class 71: 475
  Class 72: 475
  Class 73: 475
  Class 74: 475
  Class 75: 475
  Class 76: 475
  Class 77: 475
  Class 78: 475
  Class 79: 475
  Class 80: 475
  Class 81: 475
  Class 82: 475
  Class 83: 475
  Class 84: 475
  Class 85: 475
  Class 86: 475
  Class 87: 475
  Class 88: 475
  Class 89: 475
  Class 90: 475
  Class 91: 475
  Class 92: 475
  Class 93: 475
  Class 94: 475
  Class 95: 475
  Class 96: 475
  Class 97: 475
  Class 98: 475
  Class 99: 475
Forget set:
  Class 0: 25
  Class 1: 25
  Class 2: 25
  Class 3: 25
  Class 4: 25
  Class 5: 25
  Class 6: 25
  Class 7: 25
  Class 8: 25
  Class 9: 25
  Class 10: 25
  Class 11: 25
  Class 12: 25
  Class 13: 25
  Class 14: 25
  Class 15: 25
  Class 16: 25
  Class 17: 25
  Class 18: 25
  Class 19: 25
  Class 20: 25
  Class 21: 25
  Class 22: 25
  Class 23: 25
  Class 24: 25
  Class 25: 25
  Class 26: 25
  Class 27: 25
  Class 28: 25
  Class 29: 25
  Class 30: 25
  Class 31: 25
  Class 32: 25
  Class 33: 25
  Class 34: 25
  Class 35: 25
  Class 36: 25
  Class 37: 25
  Class 38: 25
  Class 39: 25
  Class 40: 25
  Class 41: 25
  Class 42: 25
  Class 43: 25
  Class 44: 25
  Class 45: 25
  Class 46: 25
  Class 47: 25
  Class 48: 25
  Class 49: 25
  Class 50: 25
  Class 51: 25
  Class 52: 25
  Class 53: 25
  Class 54: 25
  Class 55: 25
  Class 56: 25
  Class 57: 25
  Class 58: 25
  Class 59: 25
  Class 60: 25
  Class 61: 25
  Class 62: 25
  Class 63: 25
  Class 64: 25
  Class 65: 25
  Class 66: 25
  Class 67: 25
  Class 68: 25
  Class 69: 25
  Class 70: 25
  Class 71: 25
  Class 72: 25
  Class 73: 25
  Class 74: 25
  Class 75: 25
  Class 76: 25
  Class 77: 25
  Class 78: 25
  Class 79: 25
  Class 80: 25
  Class 81: 25
  Class 82: 25
  Class 83: 25
  Class 84: 25
  Class 85: 25
  Class 86: 25
  Class 87: 25
  Class 88: 25
  Class 89: 25
  Class 90: 25
  Class 91: 25
  Class 92: 25
  Class 93: 25
  Class 94: 25
  Class 95: 25
  Class 96: 25
  Class 97: 25
  Class 98: 25
  Class 99: 25
⚠️ Warning: Retain train loader may not be shuffled.
Training Epoch: 1 [256/47500]	Loss: 3.0318	LR: 0.000000
Training Epoch: 1 [512/47500]	Loss: 3.0232	LR: 0.000538
Training Epoch: 1 [768/47500]	Loss: 3.0361	LR: 0.001075
Training Epoch: 1 [1024/47500]	Loss: 3.0337	LR: 0.001613
Training Epoch: 1 [1280/47500]	Loss: 3.0370	LR: 0.002151
Training Epoch: 1 [1536/47500]	Loss: 3.0144	LR: 0.002688
Training Epoch: 1 [1792/47500]	Loss: 3.0070	LR: 0.003226
Training Epoch: 1 [2048/47500]	Loss: 3.0152	LR: 0.003763
Training Epoch: 1 [2304/47500]	Loss: 3.0002	LR: 0.004301
Training Epoch: 1 [2560/47500]	Loss: 2.9809	LR: 0.004839
Training Epoch: 1 [2816/47500]	Loss: 2.9515	LR: 0.005376
Training Epoch: 1 [3072/47500]	Loss: 2.9985	LR: 0.005914
Training Epoch: 1 [3328/47500]	Loss: 2.9366	LR: 0.006452
Training Epoch: 1 [3584/47500]	Loss: 2.9012	LR: 0.006989
Training Epoch: 1 [3840/47500]	Loss: 2.8990	LR: 0.007527
Training Epoch: 1 [4096/47500]	Loss: 2.9005	LR: 0.008065
Training Epoch: 1 [4352/47500]	Loss: 2.8947	LR: 0.008602
Training Epoch: 1 [4608/47500]	Loss: 2.8559	LR: 0.009140
Training Epoch: 1 [4864/47500]	Loss: 2.8118	LR: 0.009677
Training Epoch: 1 [5120/47500]	Loss: 2.8365	LR: 0.010215
Training Epoch: 1 [5376/47500]	Loss: 2.7787	LR: 0.010753
Training Epoch: 1 [5632/47500]	Loss: 2.7998	LR: 0.011290
Training Epoch: 1 [5888/47500]	Loss: 2.7808	LR: 0.011828
Training Epoch: 1 [6144/47500]	Loss: 2.7569	LR: 0.012366
Training Epoch: 1 [6400/47500]	Loss: 2.7186	LR: 0.012903
Training Epoch: 1 [6656/47500]	Loss: 2.8000	LR: 0.013441
Training Epoch: 1 [6912/47500]	Loss: 2.7451	LR: 0.013978
Training Epoch: 1 [7168/47500]	Loss: 2.7850	LR: 0.014516
Training Epoch: 1 [7424/47500]	Loss: 2.7101	LR: 0.015054
Training Epoch: 1 [7680/47500]	Loss: 2.6761	LR: 0.015591
Training Epoch: 1 [7936/47500]	Loss: 2.7066	LR: 0.016129
Training Epoch: 1 [8192/47500]	Loss: 2.6403	LR: 0.016667
Training Epoch: 1 [8448/47500]	Loss: 2.7195	LR: 0.017204
Training Epoch: 1 [8704/47500]	Loss: 2.6709	LR: 0.017742
Training Epoch: 1 [8960/47500]	Loss: 2.7193	LR: 0.018280
Training Epoch: 1 [9216/47500]	Loss: 2.6655	LR: 0.018817
Training Epoch: 1 [9472/47500]	Loss: 2.7608	LR: 0.019355
Training Epoch: 1 [9728/47500]	Loss: 2.5903	LR: 0.019892
Training Epoch: 1 [9984/47500]	Loss: 2.5747	LR: 0.020430
Training Epoch: 1 [10240/47500]	Loss: 2.6803	LR: 0.020968
Training Epoch: 1 [10496/47500]	Loss: 2.6828	LR: 0.021505
Training Epoch: 1 [10752/47500]	Loss: 2.5857	LR: 0.022043
Training Epoch: 1 [11008/47500]	Loss: 2.6691	LR: 0.022581
Training Epoch: 1 [11264/47500]	Loss: 2.6062	LR: 0.023118
Training Epoch: 1 [11520/47500]	Loss: 2.5337	LR: 0.023656
Training Epoch: 1 [11776/47500]	Loss: 2.5597	LR: 0.024194
Training Epoch: 1 [12032/47500]	Loss: 2.7147	LR: 0.024731
Training Epoch: 1 [12288/47500]	Loss: 2.6537	LR: 0.025269
Training Epoch: 1 [12544/47500]	Loss: 2.5902	LR: 0.025806
Training Epoch: 1 [12800/47500]	Loss: 2.5252	LR: 0.026344
Training Epoch: 1 [13056/47500]	Loss: 2.5610	LR: 0.026882
Training Epoch: 1 [13312/47500]	Loss: 2.5768	LR: 0.027419
Training Epoch: 1 [13568/47500]	Loss: 2.6319	LR: 0.027957
Training Epoch: 1 [13824/47500]	Loss: 2.6285	LR: 0.028495
Training Epoch: 1 [14080/47500]	Loss: 2.5798	LR: 0.029032
Training Epoch: 1 [14336/47500]	Loss: 2.4120	LR: 0.029570
Training Epoch: 1 [14592/47500]	Loss: 2.5550	LR: 0.030108
Training Epoch: 1 [14848/47500]	Loss: 2.4907	LR: 0.030645
Training Epoch: 1 [15104/47500]	Loss: 2.5327	LR: 0.031183
Training Epoch: 1 [15360/47500]	Loss: 2.4973	LR: 0.031720
Training Epoch: 1 [15616/47500]	Loss: 2.4728	LR: 0.032258
Training Epoch: 1 [15872/47500]	Loss: 2.5668	LR: 0.032796
Training Epoch: 1 [16128/47500]	Loss: 2.5774	LR: 0.033333
Training Epoch: 1 [16384/47500]	Loss: 2.5142	LR: 0.033871
Training Epoch: 1 [16640/47500]	Loss: 2.5487	LR: 0.034409
Training Epoch: 1 [16896/47500]	Loss: 2.5650	LR: 0.034946
Training Epoch: 1 [17152/47500]	Loss: 2.5404	LR: 0.035484
Training Epoch: 1 [17408/47500]	Loss: 2.5490	LR: 0.036022
Training Epoch: 1 [17664/47500]	Loss: 2.4543	LR: 0.036559
Training Epoch: 1 [17920/47500]	Loss: 2.5017	LR: 0.037097
Training Epoch: 1 [18176/47500]	Loss: 2.4536	LR: 0.037634
Training Epoch: 1 [18432/47500]	Loss: 2.5392	LR: 0.038172
Training Epoch: 1 [18688/47500]	Loss: 2.5278	LR: 0.038710
Training Epoch: 1 [18944/47500]	Loss: 2.4064	LR: 0.039247
Training Epoch: 1 [19200/47500]	Loss: 2.4156	LR: 0.039785
Training Epoch: 1 [19456/47500]	Loss: 2.4957	LR: 0.040323
Training Epoch: 1 [19712/47500]	Loss: 2.5338	LR: 0.040860
Training Epoch: 1 [19968/47500]	Loss: 2.5829	LR: 0.041398
Training Epoch: 1 [20224/47500]	Loss: 2.5492	LR: 0.041935
Training Epoch: 1 [20480/47500]	Loss: 2.4837	LR: 0.042473
Training Epoch: 1 [20736/47500]	Loss: 2.5810	LR: 0.043011
Training Epoch: 1 [20992/47500]	Loss: 2.3561	LR: 0.043548
Training Epoch: 1 [21248/47500]	Loss: 2.5078	LR: 0.044086
Training Epoch: 1 [21504/47500]	Loss: 2.4873	LR: 0.044624
Training Epoch: 1 [21760/47500]	Loss: 2.4146	LR: 0.045161
Training Epoch: 1 [22016/47500]	Loss: 2.3930	LR: 0.045699
Training Epoch: 1 [22272/47500]	Loss: 2.4920	LR: 0.046237
Training Epoch: 1 [22528/47500]	Loss: 2.5216	LR: 0.046774
Training Epoch: 1 [22784/47500]	Loss: 2.4141	LR: 0.047312
Training Epoch: 1 [23040/47500]	Loss: 2.4626	LR: 0.047849
Training Epoch: 1 [23296/47500]	Loss: 2.4128	LR: 0.048387
Training Epoch: 1 [23552/47500]	Loss: 2.4731	LR: 0.048925
Training Epoch: 1 [23808/47500]	Loss: 2.4867	LR: 0.049462
Training Epoch: 1 [24064/47500]	Loss: 2.6413	LR: 0.050000
Training Epoch: 1 [24320/47500]	Loss: 2.4703	LR: 0.050538
Training Epoch: 1 [24576/47500]	Loss: 2.4883	LR: 0.051075
Training Epoch: 1 [24832/47500]	Loss: 2.3339	LR: 0.051613
Training Epoch: 1 [25088/47500]	Loss: 2.4402	LR: 0.052151
Training Epoch: 1 [25344/47500]	Loss: 2.4590	LR: 0.052688
Training Epoch: 1 [25600/47500]	Loss: 2.4334	LR: 0.053226
Training Epoch: 1 [25856/47500]	Loss: 2.4983	LR: 0.053763
Training Epoch: 1 [26112/47500]	Loss: 2.5119	LR: 0.054301
Training Epoch: 1 [26368/47500]	Loss: 2.5183	LR: 0.054839
Training Epoch: 1 [26624/47500]	Loss: 2.4576	LR: 0.055376
Training Epoch: 1 [26880/47500]	Loss: 2.3844	LR: 0.055914
Training Epoch: 1 [27136/47500]	Loss: 2.5160	LR: 0.056452
Training Epoch: 1 [27392/47500]	Loss: 2.3116	LR: 0.056989
Training Epoch: 1 [27648/47500]	Loss: 2.4223	LR: 0.057527
Training Epoch: 1 [27904/47500]	Loss: 2.3811	LR: 0.058065
Training Epoch: 1 [28160/47500]	Loss: 2.3875	LR: 0.058602
Training Epoch: 1 [28416/47500]	Loss: 2.3823	LR: 0.059140
Training Epoch: 1 [28672/47500]	Loss: 2.4605	LR: 0.059677
Training Epoch: 1 [28928/47500]	Loss: 2.3597	LR: 0.060215
Training Epoch: 1 [29184/47500]	Loss: 2.5124	LR: 0.060753
Training Epoch: 1 [29440/47500]	Loss: 2.5041	LR: 0.061290
Training Epoch: 1 [29696/47500]	Loss: 2.3424	LR: 0.061828
Training Epoch: 1 [29952/47500]	Loss: 2.4479	LR: 0.062366
Training Epoch: 1 [30208/47500]	Loss: 2.4539	LR: 0.062903
Training Epoch: 1 [30464/47500]	Loss: 2.4198	LR: 0.063441
Training Epoch: 1 [30720/47500]	Loss: 2.3949	LR: 0.063978
Training Epoch: 1 [30976/47500]	Loss: 2.3377	LR: 0.064516
Training Epoch: 1 [31232/47500]	Loss: 2.3729	LR: 0.065054
Training Epoch: 1 [31488/47500]	Loss: 2.4046	LR: 0.065591
Training Epoch: 1 [31744/47500]	Loss: 2.2938	LR: 0.066129
Training Epoch: 1 [32000/47500]	Loss: 2.3276	LR: 0.066667
Training Epoch: 1 [32256/47500]	Loss: 2.3749	LR: 0.067204
Training Epoch: 1 [32512/47500]	Loss: 2.4142	LR: 0.067742
Training Epoch: 1 [32768/47500]	Loss: 2.4174	LR: 0.068280
Training Epoch: 1 [33024/47500]	Loss: 2.2441	LR: 0.068817
Training Epoch: 1 [33280/47500]	Loss: 2.3540	LR: 0.069355
Training Epoch: 1 [33536/47500]	Loss: 2.5022	LR: 0.069892
Training Epoch: 1 [33792/47500]	Loss: 2.3404	LR: 0.070430
Training Epoch: 1 [34048/47500]	Loss: 2.5269	LR: 0.070968
Training Epoch: 1 [34304/47500]	Loss: 2.3656	LR: 0.071505
Training Epoch: 1 [34560/47500]	Loss: 2.4836	LR: 0.072043
Training Epoch: 1 [34816/47500]	Loss: 2.5150	LR: 0.072581
Training Epoch: 1 [35072/47500]	Loss: 2.3587	LR: 0.073118
Training Epoch: 1 [35328/47500]	Loss: 2.3732	LR: 0.073656
Training Epoch: 1 [35584/47500]	Loss: 2.4280	LR: 0.074194
Training Epoch: 1 [35840/47500]	Loss: 2.3955	LR: 0.074731
Training Epoch: 1 [36096/47500]	Loss: 2.2531	LR: 0.075269
Training Epoch: 1 [36352/47500]	Loss: 2.2720	LR: 0.075806
Training Epoch: 1 [36608/47500]	Loss: 2.3508	LR: 0.076344
Training Epoch: 1 [36864/47500]	Loss: 2.2874	LR: 0.076882
Training Epoch: 1 [37120/47500]	Loss: 2.4059	LR: 0.077419
Training Epoch: 1 [37376/47500]	Loss: 2.4533	LR: 0.077957
Training Epoch: 1 [37632/47500]	Loss: 2.4827	LR: 0.078495
Training Epoch: 1 [37888/47500]	Loss: 2.3604	LR: 0.079032
Training Epoch: 1 [38144/47500]	Loss: 2.3769	LR: 0.079570
Training Epoch: 1 [38400/47500]	Loss: 2.3499	LR: 0.080108
Training Epoch: 1 [38656/47500]	Loss: 2.4623	LR: 0.080645
Training Epoch: 1 [38912/47500]	Loss: 2.3959	LR: 0.081183
Training Epoch: 1 [39168/47500]	Loss: 2.2989	LR: 0.081720
Training Epoch: 1 [39424/47500]	Loss: 2.3897	LR: 0.082258
Training Epoch: 1 [39680/47500]	Loss: 2.4051	LR: 0.082796
Training Epoch: 1 [39936/47500]	Loss: 2.4470	LR: 0.083333
Training Epoch: 1 [40192/47500]	Loss: 2.3797	LR: 0.083871
Training Epoch: 1 [40448/47500]	Loss: 2.3871	LR: 0.084409
Training Epoch: 1 [40704/47500]	Loss: 2.3943	LR: 0.084946
Training Epoch: 1 [40960/47500]	Loss: 2.3007	LR: 0.085484
Training Epoch: 1 [41216/47500]	Loss: 2.2393	LR: 0.086022
Training Epoch: 1 [41472/47500]	Loss: 2.3731	LR: 0.086559
Training Epoch: 1 [41728/47500]	Loss: 2.2821	LR: 0.087097
Training Epoch: 1 [41984/47500]	Loss: 2.3241	LR: 0.087634
Training Epoch: 1 [42240/47500]	Loss: 2.3719	LR: 0.088172
Training Epoch: 1 [42496/47500]	Loss: 2.3620	LR: 0.088710
Training Epoch: 1 [42752/47500]	Loss: 2.4272	LR: 0.089247
Training Epoch: 1 [43008/47500]	Loss: 2.4309	LR: 0.089785
Training Epoch: 1 [43264/47500]	Loss: 2.3155	LR: 0.090323
Training Epoch: 1 [43520/47500]	Loss: 2.3025	LR: 0.090860
Training Epoch: 1 [43776/47500]	Loss: 2.2604	LR: 0.091398
Training Epoch: 1 [44032/47500]	Loss: 2.2918	LR: 0.091935
Training Epoch: 1 [44288/47500]	Loss: 2.2742	LR: 0.092473
Training Epoch: 1 [44544/47500]	Loss: 2.2632	LR: 0.093011
Training Epoch: 1 [44800/47500]	Loss: 2.2103	LR: 0.093548
Training Epoch: 1 [45056/47500]	Loss: 2.2962	LR: 0.094086
Training Epoch: 1 [45312/47500]	Loss: 2.4745	LR: 0.094624
Training Epoch: 1 [45568/47500]	Loss: 2.2829	LR: 0.095161
Training Epoch: 1 [45824/47500]	Loss: 2.3157	LR: 0.095699
Training Epoch: 1 [46080/47500]	Loss: 2.3961	LR: 0.096237
Training Epoch: 1 [46336/47500]	Loss: 2.2789	LR: 0.096774
Training Epoch: 1 [46592/47500]	Loss: 2.2474	LR: 0.097312
Training Epoch: 1 [46848/47500]	Loss: 2.2410	LR: 0.097849
Training Epoch: 1 [47104/47500]	Loss: 2.2551	LR: 0.098387
Training Epoch: 1 [47360/47500]	Loss: 2.2449	LR: 0.098925
Training Epoch: 1 [47500/47500]	Loss: 2.3515	LR: 0.099462
Epoch 1 - Average Train Loss: 2.5200, Train Accuracy: 0.2181
Epoch 1 training time consumed: 26.49s
Evaluating Network.....
Test set: Epoch: 1, Average loss: 0.0101, Accuracy: 0.2367, Time consumed:1.07s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-1-best.pth
Training Epoch: 2 [256/47500]	Loss: 2.4101	LR: 0.100000
Training Epoch: 2 [512/47500]	Loss: 2.4252	LR: 0.100000
Training Epoch: 2 [768/47500]	Loss: 2.2497	LR: 0.100000
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Epoch 2 - Average Train Loss: 2.1621, Train Accuracy: 0.3263
Epoch 2 training time consumed: 25.76s
Evaluating Network.....
Test set: Epoch: 2, Average loss: 0.0090, Accuracy: 0.3278, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-2-best.pth
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Training Epoch: 3 [47500/47500]	Loss: 1.8011	LR: 0.100000
Epoch 3 - Average Train Loss: 1.9223, Train Accuracy: 0.3991
Epoch 3 training time consumed: 25.78s
Evaluating Network.....
Test set: Epoch: 3, Average loss: 0.0084, Accuracy: 0.3747, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-3-best.pth
Training Epoch: 4 [256/47500]	Loss: 1.7711	LR: 0.100000
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Epoch 4 - Average Train Loss: 1.7475, Train Accuracy: 0.4476
Epoch 4 training time consumed: 25.85s
Evaluating Network.....
Test set: Epoch: 4, Average loss: 0.0082, Accuracy: 0.4013, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-4-best.pth
Training Epoch: 5 [256/47500]	Loss: 1.6124	LR: 0.100000
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Epoch 5 - Average Train Loss: 1.5888, Train Accuracy: 0.4955
Epoch 5 training time consumed: 25.96s
Evaluating Network.....
Test set: Epoch: 5, Average loss: 0.0078, Accuracy: 0.4231, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-5-best.pth
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Training Epoch: 6 [47500/47500]	Loss: 1.3231	LR: 0.100000
Epoch 6 - Average Train Loss: 1.4554, Train Accuracy: 0.5386
Epoch 6 training time consumed: 25.85s
Evaluating Network.....
Test set: Epoch: 6, Average loss: 0.0065, Accuracy: 0.4923, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-6-best.pth
Training Epoch: 7 [256/47500]	Loss: 1.2959	LR: 0.100000
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Epoch 7 - Average Train Loss: 1.3631, Train Accuracy: 0.5676
Epoch 7 training time consumed: 25.73s
Evaluating Network.....
Test set: Epoch: 7, Average loss: 0.0060, Accuracy: 0.5302, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-7-best.pth
Training Epoch: 8 [256/47500]	Loss: 1.3049	LR: 0.100000
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Epoch 8 - Average Train Loss: 1.2701, Train Accuracy: 0.5933
Epoch 8 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 8, Average loss: 0.0062, Accuracy: 0.5330, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-8-best.pth
Training Epoch: 9 [256/47500]	Loss: 1.2317	LR: 0.100000
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Training Epoch: 9 [47500/47500]	Loss: 1.2218	LR: 0.100000
Epoch 9 - Average Train Loss: 1.2151, Train Accuracy: 0.6118
Epoch 9 training time consumed: 25.77s
Evaluating Network.....
Test set: Epoch: 9, Average loss: 0.0068, Accuracy: 0.5109, Time consumed:0.89s
Training Epoch: 10 [256/47500]	Loss: 1.2106	LR: 0.100000
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Training Epoch: 10 [47500/47500]	Loss: 0.9203	LR: 0.100000
Epoch 10 - Average Train Loss: 1.1593, Train Accuracy: 0.6279
Epoch 10 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 10, Average loss: 0.0059, Accuracy: 0.5516, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-10-best.pth
Training Epoch: 11 [256/47500]	Loss: 1.1131	LR: 0.100000
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Training Epoch: 11 [47500/47500]	Loss: 1.2232	LR: 0.100000
Epoch 11 - Average Train Loss: 1.1044, Train Accuracy: 0.6475
Epoch 11 training time consumed: 25.88s
Evaluating Network.....
Test set: Epoch: 11, Average loss: 0.0048, Accuracy: 0.6167, Time consumed:0.89s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-11-best.pth
Training Epoch: 12 [256/47500]	Loss: 0.9386	LR: 0.100000
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Epoch 12 - Average Train Loss: 1.0756, Train Accuracy: 0.6555
Epoch 12 training time consumed: 25.95s
Evaluating Network.....
Test set: Epoch: 12, Average loss: 0.0050, Accuracy: 0.6162, Time consumed:0.88s
Training Epoch: 13 [256/47500]	Loss: 0.9882	LR: 0.100000
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Training Epoch: 13 [18944/47500]	Loss: 0.9523	LR: 0.100000
Training Epoch: 13 [19200/47500]	Loss: 0.8990	LR: 0.100000
Training Epoch: 13 [19456/47500]	Loss: 1.1060	LR: 0.100000
Training Epoch: 13 [19712/47500]	Loss: 1.0930	LR: 0.100000
Training Epoch: 13 [19968/47500]	Loss: 1.0080	LR: 0.100000
Training Epoch: 13 [20224/47500]	Loss: 1.2042	LR: 0.100000
Training Epoch: 13 [20480/47500]	Loss: 1.1665	LR: 0.100000
Training Epoch: 13 [20736/47500]	Loss: 1.1429	LR: 0.100000
Training Epoch: 13 [20992/47500]	Loss: 0.8893	LR: 0.100000
Training Epoch: 13 [21248/47500]	Loss: 1.2534	LR: 0.100000
Training Epoch: 13 [21504/47500]	Loss: 1.2017	LR: 0.100000
Training Epoch: 13 [21760/47500]	Loss: 1.1253	LR: 0.100000
Training Epoch: 13 [22016/47500]	Loss: 0.9054	LR: 0.100000
Training Epoch: 13 [22272/47500]	Loss: 1.0769	LR: 0.100000
Training Epoch: 13 [22528/47500]	Loss: 0.9033	LR: 0.100000
Training Epoch: 13 [22784/47500]	Loss: 1.1558	LR: 0.100000
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Training Epoch: 13 [23808/47500]	Loss: 0.9977	LR: 0.100000
Training Epoch: 13 [24064/47500]	Loss: 1.0501	LR: 0.100000
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Training Epoch: 13 [24576/47500]	Loss: 1.0782	LR: 0.100000
Training Epoch: 13 [24832/47500]	Loss: 1.0692	LR: 0.100000
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Training Epoch: 13 [25344/47500]	Loss: 0.8771	LR: 0.100000
Training Epoch: 13 [25600/47500]	Loss: 1.1600	LR: 0.100000
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Training Epoch: 13 [26112/47500]	Loss: 0.9821	LR: 0.100000
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Training Epoch: 13 [26880/47500]	Loss: 0.9631	LR: 0.100000
Training Epoch: 13 [27136/47500]	Loss: 1.0817	LR: 0.100000
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Training Epoch: 13 [27904/47500]	Loss: 1.1104	LR: 0.100000
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Training Epoch: 13 [28672/47500]	Loss: 0.9736	LR: 0.100000
Training Epoch: 13 [28928/47500]	Loss: 1.0973	LR: 0.100000
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Training Epoch: 13 [29440/47500]	Loss: 0.9156	LR: 0.100000
Training Epoch: 13 [29696/47500]	Loss: 0.9131	LR: 0.100000
Training Epoch: 13 [29952/47500]	Loss: 0.9107	LR: 0.100000
Training Epoch: 13 [30208/47500]	Loss: 1.0992	LR: 0.100000
Training Epoch: 13 [30464/47500]	Loss: 0.8926	LR: 0.100000
Training Epoch: 13 [30720/47500]	Loss: 1.1043	LR: 0.100000
Training Epoch: 13 [30976/47500]	Loss: 0.9677	LR: 0.100000
Training Epoch: 13 [31232/47500]	Loss: 1.0295	LR: 0.100000
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Training Epoch: 13 [31744/47500]	Loss: 1.0838	LR: 0.100000
Training Epoch: 13 [32000/47500]	Loss: 1.0002	LR: 0.100000
Training Epoch: 13 [32256/47500]	Loss: 1.0342	LR: 0.100000
Training Epoch: 13 [32512/47500]	Loss: 1.1430	LR: 0.100000
Training Epoch: 13 [32768/47500]	Loss: 1.0404	LR: 0.100000
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Training Epoch: 13 [34560/47500]	Loss: 0.9648	LR: 0.100000
Training Epoch: 13 [34816/47500]	Loss: 1.0585	LR: 0.100000
Training Epoch: 13 [35072/47500]	Loss: 0.9277	LR: 0.100000
Training Epoch: 13 [35328/47500]	Loss: 0.9544	LR: 0.100000
Training Epoch: 13 [35584/47500]	Loss: 1.1065	LR: 0.100000
Training Epoch: 13 [35840/47500]	Loss: 0.8911	LR: 0.100000
Training Epoch: 13 [36096/47500]	Loss: 1.2984	LR: 0.100000
Training Epoch: 13 [36352/47500]	Loss: 1.0209	LR: 0.100000
Training Epoch: 13 [36608/47500]	Loss: 1.0294	LR: 0.100000
Training Epoch: 13 [36864/47500]	Loss: 1.1167	LR: 0.100000
Training Epoch: 13 [37120/47500]	Loss: 1.0333	LR: 0.100000
Training Epoch: 13 [37376/47500]	Loss: 1.0691	LR: 0.100000
Training Epoch: 13 [37632/47500]	Loss: 1.0308	LR: 0.100000
Training Epoch: 13 [37888/47500]	Loss: 1.0769	LR: 0.100000
Training Epoch: 13 [38144/47500]	Loss: 1.0048	LR: 0.100000
Training Epoch: 13 [38400/47500]	Loss: 1.1395	LR: 0.100000
Training Epoch: 13 [38656/47500]	Loss: 0.9217	LR: 0.100000
Training Epoch: 13 [38912/47500]	Loss: 0.9857	LR: 0.100000
Training Epoch: 13 [39168/47500]	Loss: 1.0635	LR: 0.100000
Training Epoch: 13 [39424/47500]	Loss: 0.9981	LR: 0.100000
Training Epoch: 13 [39680/47500]	Loss: 1.0847	LR: 0.100000
Training Epoch: 13 [39936/47500]	Loss: 1.1816	LR: 0.100000
Training Epoch: 13 [40192/47500]	Loss: 1.0088	LR: 0.100000
Training Epoch: 13 [40448/47500]	Loss: 1.1233	LR: 0.100000
Training Epoch: 13 [40704/47500]	Loss: 1.1060	LR: 0.100000
Training Epoch: 13 [40960/47500]	Loss: 1.0948	LR: 0.100000
Training Epoch: 13 [41216/47500]	Loss: 0.9864	LR: 0.100000
Training Epoch: 13 [41472/47500]	Loss: 0.9965	LR: 0.100000
Training Epoch: 13 [41728/47500]	Loss: 1.1334	LR: 0.100000
Training Epoch: 13 [41984/47500]	Loss: 1.1323	LR: 0.100000
Training Epoch: 13 [42240/47500]	Loss: 0.9882	LR: 0.100000
Training Epoch: 13 [42496/47500]	Loss: 1.0009	LR: 0.100000
Training Epoch: 13 [42752/47500]	Loss: 1.1156	LR: 0.100000
Training Epoch: 13 [43008/47500]	Loss: 1.0093	LR: 0.100000
Training Epoch: 13 [43264/47500]	Loss: 1.0820	LR: 0.100000
Training Epoch: 13 [43520/47500]	Loss: 0.9978	LR: 0.100000
Training Epoch: 13 [43776/47500]	Loss: 1.0485	LR: 0.100000
Training Epoch: 13 [44032/47500]	Loss: 1.1014	LR: 0.100000
Training Epoch: 13 [44288/47500]	Loss: 1.0619	LR: 0.100000
Training Epoch: 13 [44544/47500]	Loss: 0.9850	LR: 0.100000
Training Epoch: 13 [44800/47500]	Loss: 1.1648	LR: 0.100000
Training Epoch: 13 [45056/47500]	Loss: 1.1114	LR: 0.100000
Training Epoch: 13 [45312/47500]	Loss: 0.9772	LR: 0.100000
Training Epoch: 13 [45568/47500]	Loss: 0.9879	LR: 0.100000
Training Epoch: 13 [45824/47500]	Loss: 0.9524	LR: 0.100000
Training Epoch: 13 [46080/47500]	Loss: 0.9670	LR: 0.100000
Training Epoch: 13 [46336/47500]	Loss: 0.9858	LR: 0.100000
Training Epoch: 13 [46592/47500]	Loss: 1.0138	LR: 0.100000
Training Epoch: 13 [46848/47500]	Loss: 1.1040	LR: 0.100000
Training Epoch: 13 [47104/47500]	Loss: 1.0030	LR: 0.100000
Training Epoch: 13 [47360/47500]	Loss: 1.1000	LR: 0.100000
Training Epoch: 13 [47500/47500]	Loss: 1.0692	LR: 0.100000
Epoch 13 - Average Train Loss: 1.0357, Train Accuracy: 0.6699
Epoch 13 training time consumed: 26.06s
Evaluating Network.....
Test set: Epoch: 13, Average loss: 0.0062, Accuracy: 0.5662, Time consumed:0.91s
Training Epoch: 14 [256/47500]	Loss: 0.9922	LR: 0.100000
Training Epoch: 14 [512/47500]	Loss: 0.9483	LR: 0.100000
Training Epoch: 14 [768/47500]	Loss: 1.1003	LR: 0.100000
Training Epoch: 14 [1024/47500]	Loss: 1.0010	LR: 0.100000
Training Epoch: 14 [1280/47500]	Loss: 0.9431	LR: 0.100000
Training Epoch: 14 [1536/47500]	Loss: 0.8007	LR: 0.100000
Training Epoch: 14 [1792/47500]	Loss: 0.9937	LR: 0.100000
Training Epoch: 14 [2048/47500]	Loss: 0.8781	LR: 0.100000
Training Epoch: 14 [2304/47500]	Loss: 1.0393	LR: 0.100000
Training Epoch: 14 [2560/47500]	Loss: 0.9256	LR: 0.100000
Training Epoch: 14 [2816/47500]	Loss: 1.1247	LR: 0.100000
Training Epoch: 14 [3072/47500]	Loss: 1.0374	LR: 0.100000
Training Epoch: 14 [3328/47500]	Loss: 1.0251	LR: 0.100000
Training Epoch: 14 [3584/47500]	Loss: 1.0175	LR: 0.100000
Training Epoch: 14 [3840/47500]	Loss: 0.8466	LR: 0.100000
Training Epoch: 14 [4096/47500]	Loss: 0.8838	LR: 0.100000
Training Epoch: 14 [4352/47500]	Loss: 1.1576	LR: 0.100000
Training Epoch: 14 [4608/47500]	Loss: 0.9189	LR: 0.100000
Training Epoch: 14 [4864/47500]	Loss: 0.9664	LR: 0.100000
Training Epoch: 14 [5120/47500]	Loss: 1.0106	LR: 0.100000
Training Epoch: 14 [5376/47500]	Loss: 1.1671	LR: 0.100000
Training Epoch: 14 [5632/47500]	Loss: 0.9777	LR: 0.100000
Training Epoch: 14 [5888/47500]	Loss: 0.8919	LR: 0.100000
Training Epoch: 14 [6144/47500]	Loss: 0.9188	LR: 0.100000
Training Epoch: 14 [6400/47500]	Loss: 1.1696	LR: 0.100000
Training Epoch: 14 [6656/47500]	Loss: 0.9769	LR: 0.100000
Training Epoch: 14 [6912/47500]	Loss: 1.0631	LR: 0.100000
Training Epoch: 14 [7168/47500]	Loss: 1.0305	LR: 0.100000
Training Epoch: 14 [7424/47500]	Loss: 0.9879	LR: 0.100000
Training Epoch: 14 [7680/47500]	Loss: 1.0558	LR: 0.100000
Training Epoch: 14 [7936/47500]	Loss: 1.0085	LR: 0.100000
Training Epoch: 14 [8192/47500]	Loss: 1.0515	LR: 0.100000
Training Epoch: 14 [8448/47500]	Loss: 0.9707	LR: 0.100000
Training Epoch: 14 [8704/47500]	Loss: 1.1637	LR: 0.100000
Training Epoch: 14 [8960/47500]	Loss: 1.0243	LR: 0.100000
Training Epoch: 14 [9216/47500]	Loss: 0.8581	LR: 0.100000
Training Epoch: 14 [9472/47500]	Loss: 1.1036	LR: 0.100000
Training Epoch: 14 [9728/47500]	Loss: 0.9527	LR: 0.100000
Training Epoch: 14 [9984/47500]	Loss: 0.9469	LR: 0.100000
Training Epoch: 14 [10240/47500]	Loss: 0.8570	LR: 0.100000
Training Epoch: 14 [10496/47500]	Loss: 0.9649	LR: 0.100000
Training Epoch: 14 [10752/47500]	Loss: 1.0757	LR: 0.100000
Training Epoch: 14 [11008/47500]	Loss: 0.9518	LR: 0.100000
Training Epoch: 14 [11264/47500]	Loss: 0.9616	LR: 0.100000
Training Epoch: 14 [11520/47500]	Loss: 0.9778	LR: 0.100000
Training Epoch: 14 [11776/47500]	Loss: 0.9974	LR: 0.100000
Training Epoch: 14 [12032/47500]	Loss: 1.0519	LR: 0.100000
Training Epoch: 14 [12288/47500]	Loss: 0.9976	LR: 0.100000
Training Epoch: 14 [12544/47500]	Loss: 0.9470	LR: 0.100000
Training Epoch: 14 [12800/47500]	Loss: 0.8915	LR: 0.100000
Training Epoch: 14 [13056/47500]	Loss: 0.9632	LR: 0.100000
Training Epoch: 14 [13312/47500]	Loss: 0.9852	LR: 0.100000
Training Epoch: 14 [13568/47500]	Loss: 1.0081	LR: 0.100000
Training Epoch: 14 [13824/47500]	Loss: 0.9736	LR: 0.100000
Training Epoch: 14 [14080/47500]	Loss: 0.9906	LR: 0.100000
Training Epoch: 14 [14336/47500]	Loss: 0.9491	LR: 0.100000
Training Epoch: 14 [14592/47500]	Loss: 1.0397	LR: 0.100000
Training Epoch: 14 [14848/47500]	Loss: 1.0383	LR: 0.100000
Training Epoch: 14 [15104/47500]	Loss: 1.0094	LR: 0.100000
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Training Epoch: 14 [15616/47500]	Loss: 0.9010	LR: 0.100000
Training Epoch: 14 [15872/47500]	Loss: 1.0352	LR: 0.100000
Training Epoch: 14 [16128/47500]	Loss: 1.0899	LR: 0.100000
Training Epoch: 14 [16384/47500]	Loss: 0.9456	LR: 0.100000
Training Epoch: 14 [16640/47500]	Loss: 1.0385	LR: 0.100000
Training Epoch: 14 [16896/47500]	Loss: 1.1202	LR: 0.100000
Training Epoch: 14 [17152/47500]	Loss: 0.9612	LR: 0.100000
Training Epoch: 14 [17408/47500]	Loss: 1.0492	LR: 0.100000
Training Epoch: 14 [17664/47500]	Loss: 0.8985	LR: 0.100000
Training Epoch: 14 [17920/47500]	Loss: 1.1228	LR: 0.100000
Training Epoch: 14 [18176/47500]	Loss: 0.9729	LR: 0.100000
Training Epoch: 14 [18432/47500]	Loss: 0.8897	LR: 0.100000
Training Epoch: 14 [18688/47500]	Loss: 0.9652	LR: 0.100000
Training Epoch: 14 [18944/47500]	Loss: 0.9091	LR: 0.100000
Training Epoch: 14 [19200/47500]	Loss: 1.1440	LR: 0.100000
Training Epoch: 14 [19456/47500]	Loss: 1.0736	LR: 0.100000
Training Epoch: 14 [19712/47500]	Loss: 1.1272	LR: 0.100000
Training Epoch: 14 [19968/47500]	Loss: 1.0810	LR: 0.100000
Training Epoch: 14 [20224/47500]	Loss: 0.9544	LR: 0.100000
Training Epoch: 14 [20480/47500]	Loss: 1.1591	LR: 0.100000
Training Epoch: 14 [20736/47500]	Loss: 1.0657	LR: 0.100000
Training Epoch: 14 [20992/47500]	Loss: 1.1058	LR: 0.100000
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Training Epoch: 14 [21760/47500]	Loss: 0.9395	LR: 0.100000
Training Epoch: 14 [22016/47500]	Loss: 0.9807	LR: 0.100000
Training Epoch: 14 [22272/47500]	Loss: 0.9632	LR: 0.100000
Training Epoch: 14 [22528/47500]	Loss: 0.9642	LR: 0.100000
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Training Epoch: 14 [23040/47500]	Loss: 1.0077	LR: 0.100000
Training Epoch: 14 [23296/47500]	Loss: 0.9827	LR: 0.100000
Training Epoch: 14 [23552/47500]	Loss: 0.9520	LR: 0.100000
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Training Epoch: 14 [24064/47500]	Loss: 0.9997	LR: 0.100000
Training Epoch: 14 [24320/47500]	Loss: 1.0098	LR: 0.100000
Training Epoch: 14 [24576/47500]	Loss: 1.1172	LR: 0.100000
Training Epoch: 14 [24832/47500]	Loss: 1.0055	LR: 0.100000
Training Epoch: 14 [25088/47500]	Loss: 0.9867	LR: 0.100000
Training Epoch: 14 [25344/47500]	Loss: 0.9886	LR: 0.100000
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Training Epoch: 14 [25856/47500]	Loss: 1.1218	LR: 0.100000
Training Epoch: 14 [26112/47500]	Loss: 0.9375	LR: 0.100000
Training Epoch: 14 [26368/47500]	Loss: 1.0692	LR: 0.100000
Training Epoch: 14 [26624/47500]	Loss: 0.9379	LR: 0.100000
Training Epoch: 14 [26880/47500]	Loss: 0.9930	LR: 0.100000
Training Epoch: 14 [27136/47500]	Loss: 1.0481	LR: 0.100000
Training Epoch: 14 [27392/47500]	Loss: 1.0725	LR: 0.100000
Training Epoch: 14 [27648/47500]	Loss: 1.0203	LR: 0.100000
Training Epoch: 14 [27904/47500]	Loss: 0.9821	LR: 0.100000
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Training Epoch: 14 [29184/47500]	Loss: 1.0487	LR: 0.100000
Training Epoch: 14 [29440/47500]	Loss: 1.0846	LR: 0.100000
Training Epoch: 14 [29696/47500]	Loss: 0.9924	LR: 0.100000
Training Epoch: 14 [29952/47500]	Loss: 1.0235	LR: 0.100000
Training Epoch: 14 [30208/47500]	Loss: 0.9901	LR: 0.100000
Training Epoch: 14 [30464/47500]	Loss: 0.9589	LR: 0.100000
Training Epoch: 14 [30720/47500]	Loss: 1.1028	LR: 0.100000
Training Epoch: 14 [30976/47500]	Loss: 1.1515	LR: 0.100000
Training Epoch: 14 [31232/47500]	Loss: 1.0184	LR: 0.100000
Training Epoch: 14 [31488/47500]	Loss: 1.0255	LR: 0.100000
Training Epoch: 14 [31744/47500]	Loss: 1.0347	LR: 0.100000
Training Epoch: 14 [32000/47500]	Loss: 0.9689	LR: 0.100000
Training Epoch: 14 [32256/47500]	Loss: 1.0723	LR: 0.100000
Training Epoch: 14 [32512/47500]	Loss: 0.9703	LR: 0.100000
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Training Epoch: 14 [33024/47500]	Loss: 0.9421	LR: 0.100000
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Training Epoch: 14 [33536/47500]	Loss: 1.0195	LR: 0.100000
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Training Epoch: 14 [47500/47500]	Loss: 0.8714	LR: 0.100000
Epoch 14 - Average Train Loss: 1.0082, Train Accuracy: 0.6772
Epoch 14 training time consumed: 25.96s
Evaluating Network.....
Test set: Epoch: 14, Average loss: 0.0049, Accuracy: 0.6355, Time consumed:0.95s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-14-best.pth
Training Epoch: 15 [256/47500]	Loss: 1.0922	LR: 0.020000
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Training Epoch: 15 [47500/47500]	Loss: 0.9240	LR: 0.020000
Epoch 15 - Average Train Loss: 0.7770, Train Accuracy: 0.7533
Epoch 15 training time consumed: 25.82s
Evaluating Network.....
Test set: Epoch: 15, Average loss: 0.0034, Accuracy: 0.7254, Time consumed:0.97s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-15-best.pth
Training Epoch: 16 [256/47500]	Loss: 0.6527	LR: 0.020000
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Training Epoch: 16 [47500/47500]	Loss: 0.7738	LR: 0.020000
Epoch 16 - Average Train Loss: 0.6974, Train Accuracy: 0.7768
Epoch 16 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 16, Average loss: 0.0033, Accuracy: 0.7371, Time consumed:0.91s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-16-best.pth
Training Epoch: 17 [256/47500]	Loss: 0.6720	LR: 0.020000
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Training Epoch: 17 [47500/47500]	Loss: 0.6589	LR: 0.020000
Epoch 17 - Average Train Loss: 0.6693, Train Accuracy: 0.7853
Epoch 17 training time consumed: 25.81s
Evaluating Network.....
Test set: Epoch: 17, Average loss: 0.0033, Accuracy: 0.7388, Time consumed:0.92s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-17-best.pth
Training Epoch: 18 [256/47500]	Loss: 0.6322	LR: 0.020000
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Training Epoch: 18 [47500/47500]	Loss: 0.6023	LR: 0.020000
Epoch 18 - Average Train Loss: 0.6499, Train Accuracy: 0.7926
Epoch 18 training time consumed: 25.76s
Evaluating Network.....
Test set: Epoch: 18, Average loss: 0.0034, Accuracy: 0.7398, Time consumed:0.88s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-18-best.pth
Training Epoch: 19 [256/47500]	Loss: 0.5309	LR: 0.020000
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Training Epoch: 19 [13056/47500]	Loss: 0.6701	LR: 0.020000
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Training Epoch: 19 [13568/47500]	Loss: 0.6624	LR: 0.020000
Training Epoch: 19 [13824/47500]	Loss: 0.6869	LR: 0.020000
Training Epoch: 19 [14080/47500]	Loss: 0.6360	LR: 0.020000
Training Epoch: 19 [14336/47500]	Loss: 0.7515	LR: 0.020000
Training Epoch: 19 [14592/47500]	Loss: 0.6017	LR: 0.020000
Training Epoch: 19 [14848/47500]	Loss: 0.5964	LR: 0.020000
Training Epoch: 19 [15104/47500]	Loss: 0.5943	LR: 0.020000
Training Epoch: 19 [15360/47500]	Loss: 0.5892	LR: 0.020000
Training Epoch: 19 [15616/47500]	Loss: 0.5702	LR: 0.020000
Training Epoch: 19 [15872/47500]	Loss: 0.6035	LR: 0.020000
Training Epoch: 19 [16128/47500]	Loss: 0.6018	LR: 0.020000
Training Epoch: 19 [16384/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 19 [16640/47500]	Loss: 0.5559	LR: 0.020000
Training Epoch: 19 [16896/47500]	Loss: 0.5557	LR: 0.020000
Training Epoch: 19 [17152/47500]	Loss: 0.6863	LR: 0.020000
Training Epoch: 19 [17408/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 19 [17664/47500]	Loss: 0.6868	LR: 0.020000
Training Epoch: 19 [17920/47500]	Loss: 0.6651	LR: 0.020000
Training Epoch: 19 [18176/47500]	Loss: 0.5567	LR: 0.020000
Training Epoch: 19 [18432/47500]	Loss: 0.5447	LR: 0.020000
Training Epoch: 19 [18688/47500]	Loss: 0.6223	LR: 0.020000
Training Epoch: 19 [18944/47500]	Loss: 0.5555	LR: 0.020000
Training Epoch: 19 [19200/47500]	Loss: 0.5239	LR: 0.020000
Training Epoch: 19 [19456/47500]	Loss: 0.5981	LR: 0.020000
Training Epoch: 19 [19712/47500]	Loss: 0.7458	LR: 0.020000
Training Epoch: 19 [19968/47500]	Loss: 0.5912	LR: 0.020000
Training Epoch: 19 [20224/47500]	Loss: 0.6506	LR: 0.020000
Training Epoch: 19 [20480/47500]	Loss: 0.5631	LR: 0.020000
Training Epoch: 19 [20736/47500]	Loss: 0.7011	LR: 0.020000
Training Epoch: 19 [20992/47500]	Loss: 0.6544	LR: 0.020000
Training Epoch: 19 [21248/47500]	Loss: 0.6042	LR: 0.020000
Training Epoch: 19 [21504/47500]	Loss: 0.6547	LR: 0.020000
Training Epoch: 19 [21760/47500]	Loss: 0.7151	LR: 0.020000
Training Epoch: 19 [22016/47500]	Loss: 0.5760	LR: 0.020000
Training Epoch: 19 [22272/47500]	Loss: 0.5371	LR: 0.020000
Training Epoch: 19 [22528/47500]	Loss: 0.6168	LR: 0.020000
Training Epoch: 19 [22784/47500]	Loss: 0.6572	LR: 0.020000
Training Epoch: 19 [23040/47500]	Loss: 0.5992	LR: 0.020000
Training Epoch: 19 [23296/47500]	Loss: 0.5486	LR: 0.020000
Training Epoch: 19 [23552/47500]	Loss: 0.6268	LR: 0.020000
Training Epoch: 19 [23808/47500]	Loss: 0.6284	LR: 0.020000
Training Epoch: 19 [24064/47500]	Loss: 0.6808	LR: 0.020000
Training Epoch: 19 [24320/47500]	Loss: 0.5665	LR: 0.020000
Training Epoch: 19 [24576/47500]	Loss: 0.6812	LR: 0.020000
Training Epoch: 19 [24832/47500]	Loss: 0.5979	LR: 0.020000
Training Epoch: 19 [25088/47500]	Loss: 0.5833	LR: 0.020000
Training Epoch: 19 [25344/47500]	Loss: 0.6694	LR: 0.020000
Training Epoch: 19 [25600/47500]	Loss: 0.5556	LR: 0.020000
Training Epoch: 19 [25856/47500]	Loss: 0.6308	LR: 0.020000
Training Epoch: 19 [26112/47500]	Loss: 0.6120	LR: 0.020000
Training Epoch: 19 [26368/47500]	Loss: 0.7164	LR: 0.020000
Training Epoch: 19 [26624/47500]	Loss: 0.5704	LR: 0.020000
Training Epoch: 19 [26880/47500]	Loss: 0.7457	LR: 0.020000
Training Epoch: 19 [27136/47500]	Loss: 0.6338	LR: 0.020000
Training Epoch: 19 [27392/47500]	Loss: 0.7354	LR: 0.020000
Training Epoch: 19 [27648/47500]	Loss: 0.7441	LR: 0.020000
Training Epoch: 19 [27904/47500]	Loss: 0.7555	LR: 0.020000
Training Epoch: 19 [28160/47500]	Loss: 0.7370	LR: 0.020000
Training Epoch: 19 [28416/47500]	Loss: 0.6580	LR: 0.020000
Training Epoch: 19 [28672/47500]	Loss: 0.5589	LR: 0.020000
Training Epoch: 19 [28928/47500]	Loss: 0.6407	LR: 0.020000
Training Epoch: 19 [29184/47500]	Loss: 0.5602	LR: 0.020000
Training Epoch: 19 [29440/47500]	Loss: 0.6457	LR: 0.020000
Training Epoch: 19 [29696/47500]	Loss: 0.6151	LR: 0.020000
Training Epoch: 19 [29952/47500]	Loss: 0.6507	LR: 0.020000
Training Epoch: 19 [30208/47500]	Loss: 0.6437	LR: 0.020000
Training Epoch: 19 [30464/47500]	Loss: 0.5633	LR: 0.020000
Training Epoch: 19 [30720/47500]	Loss: 0.6820	LR: 0.020000
Training Epoch: 19 [30976/47500]	Loss: 0.6174	LR: 0.020000
Training Epoch: 19 [31232/47500]	Loss: 0.7060	LR: 0.020000
Training Epoch: 19 [31488/47500]	Loss: 0.6145	LR: 0.020000
Training Epoch: 19 [31744/47500]	Loss: 0.6810	LR: 0.020000
Training Epoch: 19 [32000/47500]	Loss: 0.7284	LR: 0.020000
Training Epoch: 19 [32256/47500]	Loss: 0.5795	LR: 0.020000
Training Epoch: 19 [32512/47500]	Loss: 0.5840	LR: 0.020000
Training Epoch: 19 [32768/47500]	Loss: 0.6908	LR: 0.020000
Training Epoch: 19 [33024/47500]	Loss: 0.5784	LR: 0.020000
Training Epoch: 19 [33280/47500]	Loss: 0.5478	LR: 0.020000
Training Epoch: 19 [33536/47500]	Loss: 0.7520	LR: 0.020000
Training Epoch: 19 [33792/47500]	Loss: 0.6553	LR: 0.020000
Training Epoch: 19 [34048/47500]	Loss: 0.6098	LR: 0.020000
Training Epoch: 19 [34304/47500]	Loss: 0.5035	LR: 0.020000
Training Epoch: 19 [34560/47500]	Loss: 0.6780	LR: 0.020000
Training Epoch: 19 [34816/47500]	Loss: 0.6010	LR: 0.020000
Training Epoch: 19 [35072/47500]	Loss: 0.6289	LR: 0.020000
Training Epoch: 19 [35328/47500]	Loss: 0.5783	LR: 0.020000
Training Epoch: 19 [35584/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 19 [35840/47500]	Loss: 0.6342	LR: 0.020000
Training Epoch: 19 [36096/47500]	Loss: 0.6145	LR: 0.020000
Training Epoch: 19 [36352/47500]	Loss: 0.6144	LR: 0.020000
Training Epoch: 19 [36608/47500]	Loss: 0.5862	LR: 0.020000
Training Epoch: 19 [36864/47500]	Loss: 0.7003	LR: 0.020000
Training Epoch: 19 [37120/47500]	Loss: 0.6035	LR: 0.020000
Training Epoch: 19 [37376/47500]	Loss: 0.5530	LR: 0.020000
Training Epoch: 19 [37632/47500]	Loss: 0.6265	LR: 0.020000
Training Epoch: 19 [37888/47500]	Loss: 0.6555	LR: 0.020000
Training Epoch: 19 [38144/47500]	Loss: 0.6519	LR: 0.020000
Training Epoch: 19 [38400/47500]	Loss: 0.6020	LR: 0.020000
Training Epoch: 19 [38656/47500]	Loss: 0.6084	LR: 0.020000
Training Epoch: 19 [38912/47500]	Loss: 0.5814	LR: 0.020000
Training Epoch: 19 [39168/47500]	Loss: 0.6909	LR: 0.020000
Training Epoch: 19 [39424/47500]	Loss: 0.7612	LR: 0.020000
Training Epoch: 19 [39680/47500]	Loss: 0.8251	LR: 0.020000
Training Epoch: 19 [39936/47500]	Loss: 0.6958	LR: 0.020000
Training Epoch: 19 [40192/47500]	Loss: 0.6452	LR: 0.020000
Training Epoch: 19 [40448/47500]	Loss: 0.7957	LR: 0.020000
Training Epoch: 19 [40704/47500]	Loss: 0.5815	LR: 0.020000
Training Epoch: 19 [40960/47500]	Loss: 0.5524	LR: 0.020000
Training Epoch: 19 [41216/47500]	Loss: 0.6715	LR: 0.020000
Training Epoch: 19 [41472/47500]	Loss: 0.6019	LR: 0.020000
Training Epoch: 19 [41728/47500]	Loss: 0.5780	LR: 0.020000
Training Epoch: 19 [41984/47500]	Loss: 0.5829	LR: 0.020000
Training Epoch: 19 [42240/47500]	Loss: 0.6646	LR: 0.020000
Training Epoch: 19 [42496/47500]	Loss: 0.6390	LR: 0.020000
Training Epoch: 19 [42752/47500]	Loss: 0.6654	LR: 0.020000
Training Epoch: 19 [43008/47500]	Loss: 0.7145	LR: 0.020000
Training Epoch: 19 [43264/47500]	Loss: 0.6768	LR: 0.020000
Training Epoch: 19 [43520/47500]	Loss: 0.6567	LR: 0.020000
Training Epoch: 19 [43776/47500]	Loss: 0.7077	LR: 0.020000
Training Epoch: 19 [44032/47500]	Loss: 0.4974	LR: 0.020000
Training Epoch: 19 [44288/47500]	Loss: 0.7325	LR: 0.020000
Training Epoch: 19 [44544/47500]	Loss: 0.6341	LR: 0.020000
Training Epoch: 19 [44800/47500]	Loss: 0.6323	LR: 0.020000
Training Epoch: 19 [45056/47500]	Loss: 0.5765	LR: 0.020000
Training Epoch: 19 [45312/47500]	Loss: 0.5122	LR: 0.020000
Training Epoch: 19 [45568/47500]	Loss: 0.6958	LR: 0.020000
Training Epoch: 19 [45824/47500]	Loss: 0.5347	LR: 0.020000
Training Epoch: 19 [46080/47500]	Loss: 0.6992	LR: 0.020000
Training Epoch: 19 [46336/47500]	Loss: 0.6458	LR: 0.020000
Training Epoch: 19 [46592/47500]	Loss: 0.5559	LR: 0.020000
Training Epoch: 19 [46848/47500]	Loss: 0.6669	LR: 0.020000
Training Epoch: 19 [47104/47500]	Loss: 0.6695	LR: 0.020000
Training Epoch: 19 [47360/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 19 [47500/47500]	Loss: 0.7263	LR: 0.020000
Epoch 19 - Average Train Loss: 0.6269, Train Accuracy: 0.7993
Epoch 19 training time consumed: 26.33s
Evaluating Network.....
Test set: Epoch: 19, Average loss: 0.0034, Accuracy: 0.7343, Time consumed:0.90s
Training Epoch: 20 [256/47500]	Loss: 0.5535	LR: 0.020000
Training Epoch: 20 [512/47500]	Loss: 0.5334	LR: 0.020000
Training Epoch: 20 [768/47500]	Loss: 0.6439	LR: 0.020000
Training Epoch: 20 [1024/47500]	Loss: 0.6002	LR: 0.020000
Training Epoch: 20 [1280/47500]	Loss: 0.5866	LR: 0.020000
Training Epoch: 20 [1536/47500]	Loss: 0.6024	LR: 0.020000
Training Epoch: 20 [1792/47500]	Loss: 0.5931	LR: 0.020000
Training Epoch: 20 [2048/47500]	Loss: 0.6070	LR: 0.020000
Training Epoch: 20 [2304/47500]	Loss: 0.6058	LR: 0.020000
Training Epoch: 20 [2560/47500]	Loss: 0.6074	LR: 0.020000
Training Epoch: 20 [2816/47500]	Loss: 0.6654	LR: 0.020000
Training Epoch: 20 [3072/47500]	Loss: 0.5704	LR: 0.020000
Training Epoch: 20 [3328/47500]	Loss: 0.7010	LR: 0.020000
Training Epoch: 20 [3584/47500]	Loss: 0.4864	LR: 0.020000
Training Epoch: 20 [3840/47500]	Loss: 0.6529	LR: 0.020000
Training Epoch: 20 [4096/47500]	Loss: 0.6002	LR: 0.020000
Training Epoch: 20 [4352/47500]	Loss: 0.6834	LR: 0.020000
Training Epoch: 20 [4608/47500]	Loss: 0.4771	LR: 0.020000
Training Epoch: 20 [4864/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 20 [5120/47500]	Loss: 0.6352	LR: 0.020000
Training Epoch: 20 [5376/47500]	Loss: 0.5677	LR: 0.020000
Training Epoch: 20 [5632/47500]	Loss: 0.6130	LR: 0.020000
Training Epoch: 20 [5888/47500]	Loss: 0.6519	LR: 0.020000
Training Epoch: 20 [6144/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 20 [6400/47500]	Loss: 0.7307	LR: 0.020000
Training Epoch: 20 [6656/47500]	Loss: 0.5670	LR: 0.020000
Training Epoch: 20 [6912/47500]	Loss: 0.5172	LR: 0.020000
Training Epoch: 20 [7168/47500]	Loss: 0.5379	LR: 0.020000
Training Epoch: 20 [7424/47500]	Loss: 0.6328	LR: 0.020000
Training Epoch: 20 [7680/47500]	Loss: 0.5439	LR: 0.020000
Training Epoch: 20 [7936/47500]	Loss: 0.5986	LR: 0.020000
Training Epoch: 20 [8192/47500]	Loss: 0.6322	LR: 0.020000
Training Epoch: 20 [8448/47500]	Loss: 0.5185	LR: 0.020000
Training Epoch: 20 [8704/47500]	Loss: 0.5712	LR: 0.020000
Training Epoch: 20 [8960/47500]	Loss: 0.5500	LR: 0.020000
Training Epoch: 20 [9216/47500]	Loss: 0.6686	LR: 0.020000
Training Epoch: 20 [9472/47500]	Loss: 0.6000	LR: 0.020000
Training Epoch: 20 [9728/47500]	Loss: 0.6922	LR: 0.020000
Training Epoch: 20 [9984/47500]	Loss: 0.5662	LR: 0.020000
Training Epoch: 20 [10240/47500]	Loss: 0.6929	LR: 0.020000
Training Epoch: 20 [10496/47500]	Loss: 0.6668	LR: 0.020000
Training Epoch: 20 [10752/47500]	Loss: 0.4789	LR: 0.020000
Training Epoch: 20 [11008/47500]	Loss: 0.5720	LR: 0.020000
Training Epoch: 20 [11264/47500]	Loss: 0.7218	LR: 0.020000
Training Epoch: 20 [11520/47500]	Loss: 0.7001	LR: 0.020000
Training Epoch: 20 [11776/47500]	Loss: 0.6309	LR: 0.020000
Training Epoch: 20 [12032/47500]	Loss: 0.6595	LR: 0.020000
Training Epoch: 20 [12288/47500]	Loss: 0.6056	LR: 0.020000
Training Epoch: 20 [12544/47500]	Loss: 0.5613	LR: 0.020000
Training Epoch: 20 [12800/47500]	Loss: 0.5681	LR: 0.020000
Training Epoch: 20 [13056/47500]	Loss: 0.6573	LR: 0.020000
Training Epoch: 20 [13312/47500]	Loss: 0.5431	LR: 0.020000
Training Epoch: 20 [13568/47500]	Loss: 0.5201	LR: 0.020000
Training Epoch: 20 [13824/47500]	Loss: 0.6204	LR: 0.020000
Training Epoch: 20 [14080/47500]	Loss: 0.5144	LR: 0.020000
Training Epoch: 20 [14336/47500]	Loss: 0.6290	LR: 0.020000
Training Epoch: 20 [14592/47500]	Loss: 0.5758	LR: 0.020000
Training Epoch: 20 [14848/47500]	Loss: 0.6716	LR: 0.020000
Training Epoch: 20 [15104/47500]	Loss: 0.6810	LR: 0.020000
Training Epoch: 20 [15360/47500]	Loss: 0.4874	LR: 0.020000
Training Epoch: 20 [15616/47500]	Loss: 0.6107	LR: 0.020000
Training Epoch: 20 [15872/47500]	Loss: 0.5646	LR: 0.020000
Training Epoch: 20 [16128/47500]	Loss: 0.6519	LR: 0.020000
Training Epoch: 20 [16384/47500]	Loss: 0.6657	LR: 0.020000
Training Epoch: 20 [16640/47500]	Loss: 0.4789	LR: 0.020000
Training Epoch: 20 [16896/47500]	Loss: 0.6755	LR: 0.020000
Training Epoch: 20 [17152/47500]	Loss: 0.6812	LR: 0.020000
Training Epoch: 20 [17408/47500]	Loss: 0.6259	LR: 0.020000
Training Epoch: 20 [17664/47500]	Loss: 0.6115	LR: 0.020000
Training Epoch: 20 [17920/47500]	Loss: 0.6228	LR: 0.020000
Training Epoch: 20 [18176/47500]	Loss: 0.5723	LR: 0.020000
Training Epoch: 20 [18432/47500]	Loss: 0.5388	LR: 0.020000
Training Epoch: 20 [18688/47500]	Loss: 0.5546	LR: 0.020000
Training Epoch: 20 [18944/47500]	Loss: 0.6044	LR: 0.020000
Training Epoch: 20 [19200/47500]	Loss: 0.5394	LR: 0.020000
Training Epoch: 20 [19456/47500]	Loss: 0.5835	LR: 0.020000
Training Epoch: 20 [19712/47500]	Loss: 0.5153	LR: 0.020000
Training Epoch: 20 [19968/47500]	Loss: 0.6108	LR: 0.020000
Training Epoch: 20 [20224/47500]	Loss: 0.5805	LR: 0.020000
Training Epoch: 20 [20480/47500]	Loss: 0.5336	LR: 0.020000
Training Epoch: 20 [20736/47500]	Loss: 0.5796	LR: 0.020000
Training Epoch: 20 [20992/47500]	Loss: 0.5558	LR: 0.020000
Training Epoch: 20 [21248/47500]	Loss: 0.5121	LR: 0.020000
Training Epoch: 20 [21504/47500]	Loss: 0.6915	LR: 0.020000
Training Epoch: 20 [21760/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 20 [22016/47500]	Loss: 0.5947	LR: 0.020000
Training Epoch: 20 [22272/47500]	Loss: 0.7488	LR: 0.020000
Training Epoch: 20 [22528/47500]	Loss: 0.5552	LR: 0.020000
Training Epoch: 20 [22784/47500]	Loss: 0.6059	LR: 0.020000
Training Epoch: 20 [23040/47500]	Loss: 0.7432	LR: 0.020000
Training Epoch: 20 [23296/47500]	Loss: 0.5567	LR: 0.020000
Training Epoch: 20 [23552/47500]	Loss: 0.6001	LR: 0.020000
Training Epoch: 20 [23808/47500]	Loss: 0.5797	LR: 0.020000
Training Epoch: 20 [24064/47500]	Loss: 0.5574	LR: 0.020000
Training Epoch: 20 [24320/47500]	Loss: 0.5276	LR: 0.020000
Training Epoch: 20 [24576/47500]	Loss: 0.5265	LR: 0.020000
Training Epoch: 20 [24832/47500]	Loss: 0.7056	LR: 0.020000
Training Epoch: 20 [25088/47500]	Loss: 0.6616	LR: 0.020000
Training Epoch: 20 [25344/47500]	Loss: 0.6684	LR: 0.020000
Training Epoch: 20 [25600/47500]	Loss: 0.6099	LR: 0.020000
Training Epoch: 20 [25856/47500]	Loss: 0.7082	LR: 0.020000
Training Epoch: 20 [26112/47500]	Loss: 0.6307	LR: 0.020000
Training Epoch: 20 [26368/47500]	Loss: 0.6737	LR: 0.020000
Training Epoch: 20 [26624/47500]	Loss: 0.6394	LR: 0.020000
Training Epoch: 20 [26880/47500]	Loss: 0.6178	LR: 0.020000
Training Epoch: 20 [27136/47500]	Loss: 0.5449	LR: 0.020000
Training Epoch: 20 [27392/47500]	Loss: 0.4536	LR: 0.020000
Training Epoch: 20 [27648/47500]	Loss: 0.6057	LR: 0.020000
Training Epoch: 20 [27904/47500]	Loss: 0.6964	LR: 0.020000
Training Epoch: 20 [28160/47500]	Loss: 0.6375	LR: 0.020000
Training Epoch: 20 [28416/47500]	Loss: 0.7109	LR: 0.020000
Training Epoch: 20 [28672/47500]	Loss: 0.6556	LR: 0.020000
Training Epoch: 20 [28928/47500]	Loss: 0.5815	LR: 0.020000
Training Epoch: 20 [29184/47500]	Loss: 0.5980	LR: 0.020000
Training Epoch: 20 [29440/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 20 [29696/47500]	Loss: 0.6456	LR: 0.020000
Training Epoch: 20 [29952/47500]	Loss: 0.6044	LR: 0.020000
Training Epoch: 20 [30208/47500]	Loss: 0.6187	LR: 0.020000
Training Epoch: 20 [30464/47500]	Loss: 0.5560	LR: 0.020000
Training Epoch: 20 [30720/47500]	Loss: 0.6456	LR: 0.020000
Training Epoch: 20 [30976/47500]	Loss: 0.6122	LR: 0.020000
Training Epoch: 20 [31232/47500]	Loss: 0.5267	LR: 0.020000
Training Epoch: 20 [31488/47500]	Loss: 0.5617	LR: 0.020000
Training Epoch: 20 [31744/47500]	Loss: 0.5997	LR: 0.020000
Training Epoch: 20 [32000/47500]	Loss: 0.6720	LR: 0.020000
Training Epoch: 20 [32256/47500]	Loss: 0.6355	LR: 0.020000
Training Epoch: 20 [32512/47500]	Loss: 0.6138	LR: 0.020000
Training Epoch: 20 [32768/47500]	Loss: 0.5505	LR: 0.020000
Training Epoch: 20 [33024/47500]	Loss: 0.6238	LR: 0.020000
Training Epoch: 20 [33280/47500]	Loss: 0.5372	LR: 0.020000
Training Epoch: 20 [33536/47500]	Loss: 0.6308	LR: 0.020000
Training Epoch: 20 [33792/47500]	Loss: 0.6678	LR: 0.020000
Training Epoch: 20 [34048/47500]	Loss: 0.7427	LR: 0.020000
Training Epoch: 20 [34304/47500]	Loss: 0.6268	LR: 0.020000
Training Epoch: 20 [34560/47500]	Loss: 0.7216	LR: 0.020000
Training Epoch: 20 [34816/47500]	Loss: 0.5889	LR: 0.020000
Training Epoch: 20 [35072/47500]	Loss: 0.5667	LR: 0.020000
Training Epoch: 20 [35328/47500]	Loss: 0.6672	LR: 0.020000
Training Epoch: 20 [35584/47500]	Loss: 0.6669	LR: 0.020000
Training Epoch: 20 [35840/47500]	Loss: 0.5981	LR: 0.020000
Training Epoch: 20 [36096/47500]	Loss: 0.5338	LR: 0.020000
Training Epoch: 20 [36352/47500]	Loss: 0.7174	LR: 0.020000
Training Epoch: 20 [36608/47500]	Loss: 0.6523	LR: 0.020000
Training Epoch: 20 [36864/47500]	Loss: 0.6566	LR: 0.020000
Training Epoch: 20 [37120/47500]	Loss: 0.6580	LR: 0.020000
Training Epoch: 20 [37376/47500]	Loss: 0.7157	LR: 0.020000
Training Epoch: 20 [37632/47500]	Loss: 0.7921	LR: 0.020000
Training Epoch: 20 [37888/47500]	Loss: 0.5172	LR: 0.020000
Training Epoch: 20 [38144/47500]	Loss: 0.5693	LR: 0.020000
Training Epoch: 20 [38400/47500]	Loss: 0.6587	LR: 0.020000
Training Epoch: 20 [38656/47500]	Loss: 0.6210	LR: 0.020000
Training Epoch: 20 [38912/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 20 [39168/47500]	Loss: 0.6950	LR: 0.020000
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Training Epoch: 20 [47500/47500]	Loss: 0.6486	LR: 0.020000
Epoch 20 - Average Train Loss: 0.6116, Train Accuracy: 0.8022
Epoch 20 training time consumed: 25.75s
Evaluating Network.....
Test set: Epoch: 20, Average loss: 0.0033, Accuracy: 0.7436, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-20-best.pth
Training Epoch: 21 [256/47500]	Loss: 0.5544	LR: 0.020000
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Training Epoch: 21 [47500/47500]	Loss: 0.6154	LR: 0.020000
Epoch 21 - Average Train Loss: 0.5952, Train Accuracy: 0.8090
Epoch 21 training time consumed: 25.91s
Evaluating Network.....
Test set: Epoch: 21, Average loss: 0.0033, Accuracy: 0.7419, Time consumed:0.88s
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Training Epoch: 22 [16896/47500]	Loss: 0.5659	LR: 0.020000
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Training Epoch: 22 [20736/47500]	Loss: 0.5987	LR: 0.020000
Training Epoch: 22 [20992/47500]	Loss: 0.6141	LR: 0.020000
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Training Epoch: 22 [21504/47500]	Loss: 0.6720	LR: 0.020000
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Training Epoch: 22 [22016/47500]	Loss: 0.5368	LR: 0.020000
Training Epoch: 22 [22272/47500]	Loss: 0.5027	LR: 0.020000
Training Epoch: 22 [22528/47500]	Loss: 0.5449	LR: 0.020000
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Training Epoch: 22 [24576/47500]	Loss: 0.5889	LR: 0.020000
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Training Epoch: 22 [27648/47500]	Loss: 0.5608	LR: 0.020000
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Training Epoch: 22 [28160/47500]	Loss: 0.5386	LR: 0.020000
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Training Epoch: 22 [29184/47500]	Loss: 0.6576	LR: 0.020000
Training Epoch: 22 [29440/47500]	Loss: 0.5935	LR: 0.020000
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Training Epoch: 22 [31232/47500]	Loss: 0.6823	LR: 0.020000
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Training Epoch: 22 [31744/47500]	Loss: 0.6073	LR: 0.020000
Training Epoch: 22 [32000/47500]	Loss: 0.6811	LR: 0.020000
Training Epoch: 22 [32256/47500]	Loss: 0.5959	LR: 0.020000
Training Epoch: 22 [32512/47500]	Loss: 0.5021	LR: 0.020000
Training Epoch: 22 [32768/47500]	Loss: 0.5841	LR: 0.020000
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Training Epoch: 22 [35584/47500]	Loss: 0.6170	LR: 0.020000
Training Epoch: 22 [35840/47500]	Loss: 0.6529	LR: 0.020000
Training Epoch: 22 [36096/47500]	Loss: 0.5376	LR: 0.020000
Training Epoch: 22 [36352/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 22 [36608/47500]	Loss: 0.5928	LR: 0.020000
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Training Epoch: 22 [37120/47500]	Loss: 0.5344	LR: 0.020000
Training Epoch: 22 [37376/47500]	Loss: 0.6631	LR: 0.020000
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Training Epoch: 22 [37888/47500]	Loss: 0.5832	LR: 0.020000
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Training Epoch: 22 [38656/47500]	Loss: 0.5608	LR: 0.020000
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Training Epoch: 22 [41728/47500]	Loss: 0.5463	LR: 0.020000
Training Epoch: 22 [41984/47500]	Loss: 0.4918	LR: 0.020000
Training Epoch: 22 [42240/47500]	Loss: 0.5800	LR: 0.020000
Training Epoch: 22 [42496/47500]	Loss: 0.5673	LR: 0.020000
Training Epoch: 22 [42752/47500]	Loss: 0.5539	LR: 0.020000
Training Epoch: 22 [43008/47500]	Loss: 0.7349	LR: 0.020000
Training Epoch: 22 [43264/47500]	Loss: 0.6961	LR: 0.020000
Training Epoch: 22 [43520/47500]	Loss: 0.5606	LR: 0.020000
Training Epoch: 22 [43776/47500]	Loss: 0.6277	LR: 0.020000
Training Epoch: 22 [44032/47500]	Loss: 0.6060	LR: 0.020000
Training Epoch: 22 [44288/47500]	Loss: 0.5255	LR: 0.020000
Training Epoch: 22 [44544/47500]	Loss: 0.5551	LR: 0.020000
Training Epoch: 22 [44800/47500]	Loss: 0.6221	LR: 0.020000
Training Epoch: 22 [45056/47500]	Loss: 0.6539	LR: 0.020000
Training Epoch: 22 [45312/47500]	Loss: 0.6345	LR: 0.020000
Training Epoch: 22 [45568/47500]	Loss: 0.6682	LR: 0.020000
Training Epoch: 22 [45824/47500]	Loss: 0.6468	LR: 0.020000
Training Epoch: 22 [46080/47500]	Loss: 0.5984	LR: 0.020000
Training Epoch: 22 [46336/47500]	Loss: 0.5616	LR: 0.020000
Training Epoch: 22 [46592/47500]	Loss: 0.7022	LR: 0.020000
Training Epoch: 22 [46848/47500]	Loss: 0.5749	LR: 0.020000
Training Epoch: 22 [47104/47500]	Loss: 0.5303	LR: 0.020000
Training Epoch: 22 [47360/47500]	Loss: 0.7213	LR: 0.020000
Training Epoch: 22 [47500/47500]	Loss: 0.6999	LR: 0.020000
Epoch 22 - Average Train Loss: 0.5800, Train Accuracy: 0.8125
Epoch 22 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 22, Average loss: 0.0035, Accuracy: 0.7322, Time consumed:0.88s
Training Epoch: 23 [256/47500]	Loss: 0.5447	LR: 0.020000
Training Epoch: 23 [512/47500]	Loss: 0.4808	LR: 0.020000
Training Epoch: 23 [768/47500]	Loss: 0.6146	LR: 0.020000
Training Epoch: 23 [1024/47500]	Loss: 0.6369	LR: 0.020000
Training Epoch: 23 [1280/47500]	Loss: 0.5356	LR: 0.020000
Training Epoch: 23 [1536/47500]	Loss: 0.5042	LR: 0.020000
Training Epoch: 23 [1792/47500]	Loss: 0.5663	LR: 0.020000
Training Epoch: 23 [2048/47500]	Loss: 0.6143	LR: 0.020000
Training Epoch: 23 [2304/47500]	Loss: 0.4597	LR: 0.020000
Training Epoch: 23 [2560/47500]	Loss: 0.6321	LR: 0.020000
Training Epoch: 23 [2816/47500]	Loss: 0.5078	LR: 0.020000
Training Epoch: 23 [3072/47500]	Loss: 0.5018	LR: 0.020000
Training Epoch: 23 [3328/47500]	Loss: 0.5079	LR: 0.020000
Training Epoch: 23 [3584/47500]	Loss: 0.5080	LR: 0.020000
Training Epoch: 23 [3840/47500]	Loss: 0.5138	LR: 0.020000
Training Epoch: 23 [4096/47500]	Loss: 0.6826	LR: 0.020000
Training Epoch: 23 [4352/47500]	Loss: 0.5408	LR: 0.020000
Training Epoch: 23 [4608/47500]	Loss: 0.5936	LR: 0.020000
Training Epoch: 23 [4864/47500]	Loss: 0.4969	LR: 0.020000
Training Epoch: 23 [5120/47500]	Loss: 0.6427	LR: 0.020000
Training Epoch: 23 [5376/47500]	Loss: 0.4985	LR: 0.020000
Training Epoch: 23 [5632/47500]	Loss: 0.6422	LR: 0.020000
Training Epoch: 23 [5888/47500]	Loss: 0.5096	LR: 0.020000
Training Epoch: 23 [6144/47500]	Loss: 0.5496	LR: 0.020000
Training Epoch: 23 [6400/47500]	Loss: 0.5577	LR: 0.020000
Training Epoch: 23 [6656/47500]	Loss: 0.5865	LR: 0.020000
Training Epoch: 23 [6912/47500]	Loss: 0.5927	LR: 0.020000
Training Epoch: 23 [7168/47500]	Loss: 0.5305	LR: 0.020000
Training Epoch: 23 [7424/47500]	Loss: 0.4732	LR: 0.020000
Training Epoch: 23 [7680/47500]	Loss: 0.4982	LR: 0.020000
Training Epoch: 23 [7936/47500]	Loss: 0.5849	LR: 0.020000
Training Epoch: 23 [8192/47500]	Loss: 0.5564	LR: 0.020000
Training Epoch: 23 [8448/47500]	Loss: 0.6276	LR: 0.020000
Training Epoch: 23 [8704/47500]	Loss: 0.6636	LR: 0.020000
Training Epoch: 23 [8960/47500]	Loss: 0.5208	LR: 0.020000
Training Epoch: 23 [9216/47500]	Loss: 0.5635	LR: 0.020000
Training Epoch: 23 [9472/47500]	Loss: 0.5440	LR: 0.020000
Training Epoch: 23 [9728/47500]	Loss: 0.4534	LR: 0.020000
Training Epoch: 23 [9984/47500]	Loss: 0.4565	LR: 0.020000
Training Epoch: 23 [10240/47500]	Loss: 0.5396	LR: 0.020000
Training Epoch: 23 [10496/47500]	Loss: 0.6067	LR: 0.020000
Training Epoch: 23 [10752/47500]	Loss: 0.6237	LR: 0.020000
Training Epoch: 23 [11008/47500]	Loss: 0.5714	LR: 0.020000
Training Epoch: 23 [11264/47500]	Loss: 0.6028	LR: 0.020000
Training Epoch: 23 [11520/47500]	Loss: 0.5716	LR: 0.020000
Training Epoch: 23 [11776/47500]	Loss: 0.5403	LR: 0.020000
Training Epoch: 23 [12032/47500]	Loss: 0.6266	LR: 0.020000
Training Epoch: 23 [12288/47500]	Loss: 0.4528	LR: 0.020000
Training Epoch: 23 [12544/47500]	Loss: 0.5531	LR: 0.020000
Training Epoch: 23 [12800/47500]	Loss: 0.5386	LR: 0.020000
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Training Epoch: 23 [15616/47500]	Loss: 0.6765	LR: 0.020000
Training Epoch: 23 [15872/47500]	Loss: 0.5279	LR: 0.020000
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Training Epoch: 23 [16640/47500]	Loss: 0.6562	LR: 0.020000
Training Epoch: 23 [16896/47500]	Loss: 0.6350	LR: 0.020000
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Training Epoch: 23 [17408/47500]	Loss: 0.4618	LR: 0.020000
Training Epoch: 23 [17664/47500]	Loss: 0.5141	LR: 0.020000
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Training Epoch: 23 [18176/47500]	Loss: 0.4988	LR: 0.020000
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Training Epoch: 23 [18688/47500]	Loss: 0.5563	LR: 0.020000
Training Epoch: 23 [18944/47500]	Loss: 0.6007	LR: 0.020000
Training Epoch: 23 [19200/47500]	Loss: 0.4678	LR: 0.020000
Training Epoch: 23 [19456/47500]	Loss: 0.6008	LR: 0.020000
Training Epoch: 23 [19712/47500]	Loss: 0.5209	LR: 0.020000
Training Epoch: 23 [19968/47500]	Loss: 0.7085	LR: 0.020000
Training Epoch: 23 [20224/47500]	Loss: 0.5817	LR: 0.020000
Training Epoch: 23 [20480/47500]	Loss: 0.6618	LR: 0.020000
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Training Epoch: 23 [22016/47500]	Loss: 0.5293	LR: 0.020000
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Training Epoch: 23 [25856/47500]	Loss: 0.4905	LR: 0.020000
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Training Epoch: 23 [26368/47500]	Loss: 0.5871	LR: 0.020000
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Training Epoch: 23 [28416/47500]	Loss: 0.5987	LR: 0.020000
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Training Epoch: 23 [37888/47500]	Loss: 0.5467	LR: 0.020000
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Training Epoch: 23 [39936/47500]	Loss: 0.5483	LR: 0.020000
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Training Epoch: 23 [42496/47500]	Loss: 0.6400	LR: 0.020000
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Training Epoch: 23 [47500/47500]	Loss: 0.7125	LR: 0.020000
Epoch 23 - Average Train Loss: 0.5705, Train Accuracy: 0.8152
Epoch 23 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 23, Average loss: 0.0034, Accuracy: 0.7453, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-23-best.pth
Training Epoch: 24 [256/47500]	Loss: 0.5709	LR: 0.020000
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Training Epoch: 24 [47500/47500]	Loss: 0.7102	LR: 0.020000
Epoch 24 - Average Train Loss: 0.5557, Train Accuracy: 0.8210
Epoch 24 training time consumed: 25.88s
Evaluating Network.....
Test set: Epoch: 24, Average loss: 0.0034, Accuracy: 0.7391, Time consumed:0.89s
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Training Epoch: 25 [47500/47500]	Loss: 0.7903	LR: 0.020000
Epoch 25 - Average Train Loss: 0.5457, Train Accuracy: 0.8226
Epoch 25 training time consumed: 26.00s
Evaluating Network.....
Test set: Epoch: 25, Average loss: 0.0034, Accuracy: 0.7456, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-25-best.pth
Training Epoch: 26 [256/47500]	Loss: 0.4835	LR: 0.020000
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Training Epoch: 26 [45312/47500]	Loss: 0.4542	LR: 0.020000
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Training Epoch: 26 [45824/47500]	Loss: 0.4343	LR: 0.020000
Training Epoch: 26 [46080/47500]	Loss: 0.4762	LR: 0.020000
Training Epoch: 26 [46336/47500]	Loss: 0.5784	LR: 0.020000
Training Epoch: 26 [46592/47500]	Loss: 0.7010	LR: 0.020000
Training Epoch: 26 [46848/47500]	Loss: 0.5435	LR: 0.020000
Training Epoch: 26 [47104/47500]	Loss: 0.5750	LR: 0.020000
Training Epoch: 26 [47360/47500]	Loss: 0.6076	LR: 0.020000
Training Epoch: 26 [47500/47500]	Loss: 0.4903	LR: 0.020000
Epoch 26 - Average Train Loss: 0.5367, Train Accuracy: 0.8261
Epoch 26 training time consumed: 25.83s
Evaluating Network.....
Test set: Epoch: 26, Average loss: 0.0038, Accuracy: 0.7274, Time consumed:0.90s
Training Epoch: 27 [256/47500]	Loss: 0.4413	LR: 0.020000
Training Epoch: 27 [512/47500]	Loss: 0.4650	LR: 0.020000
Training Epoch: 27 [768/47500]	Loss: 0.5417	LR: 0.020000
Training Epoch: 27 [1024/47500]	Loss: 0.5270	LR: 0.020000
Training Epoch: 27 [1280/47500]	Loss: 0.4937	LR: 0.020000
Training Epoch: 27 [1536/47500]	Loss: 0.4480	LR: 0.020000
Training Epoch: 27 [1792/47500]	Loss: 0.5440	LR: 0.020000
Training Epoch: 27 [2048/47500]	Loss: 0.6861	LR: 0.020000
Training Epoch: 27 [2304/47500]	Loss: 0.5101	LR: 0.020000
Training Epoch: 27 [2560/47500]	Loss: 0.4312	LR: 0.020000
Training Epoch: 27 [2816/47500]	Loss: 0.5276	LR: 0.020000
Training Epoch: 27 [3072/47500]	Loss: 0.4571	LR: 0.020000
Training Epoch: 27 [3328/47500]	Loss: 0.4573	LR: 0.020000
Training Epoch: 27 [3584/47500]	Loss: 0.4652	LR: 0.020000
Training Epoch: 27 [3840/47500]	Loss: 0.5632	LR: 0.020000
Training Epoch: 27 [4096/47500]	Loss: 0.4265	LR: 0.020000
Training Epoch: 27 [4352/47500]	Loss: 0.5494	LR: 0.020000
Training Epoch: 27 [4608/47500]	Loss: 0.3894	LR: 0.020000
Training Epoch: 27 [4864/47500]	Loss: 0.5267	LR: 0.020000
Training Epoch: 27 [5120/47500]	Loss: 0.4748	LR: 0.020000
Training Epoch: 27 [5376/47500]	Loss: 0.5219	LR: 0.020000
Training Epoch: 27 [5632/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 27 [5888/47500]	Loss: 0.5237	LR: 0.020000
Training Epoch: 27 [6144/47500]	Loss: 0.5626	LR: 0.020000
Training Epoch: 27 [6400/47500]	Loss: 0.5048	LR: 0.020000
Training Epoch: 27 [6656/47500]	Loss: 0.5899	LR: 0.020000
Training Epoch: 27 [6912/47500]	Loss: 0.4798	LR: 0.020000
Training Epoch: 27 [7168/47500]	Loss: 0.4633	LR: 0.020000
Training Epoch: 27 [7424/47500]	Loss: 0.4743	LR: 0.020000
Training Epoch: 27 [7680/47500]	Loss: 0.5215	LR: 0.020000
Training Epoch: 27 [7936/47500]	Loss: 0.4669	LR: 0.020000
Training Epoch: 27 [8192/47500]	Loss: 0.5784	LR: 0.020000
Training Epoch: 27 [8448/47500]	Loss: 0.6317	LR: 0.020000
Training Epoch: 27 [8704/47500]	Loss: 0.5721	LR: 0.020000
Training Epoch: 27 [8960/47500]	Loss: 0.5916	LR: 0.020000
Training Epoch: 27 [9216/47500]	Loss: 0.5911	LR: 0.020000
Training Epoch: 27 [9472/47500]	Loss: 0.5456	LR: 0.020000
Training Epoch: 27 [9728/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 27 [9984/47500]	Loss: 0.5808	LR: 0.020000
Training Epoch: 27 [10240/47500]	Loss: 0.5053	LR: 0.020000
Training Epoch: 27 [10496/47500]	Loss: 0.5438	LR: 0.020000
Training Epoch: 27 [10752/47500]	Loss: 0.4247	LR: 0.020000
Training Epoch: 27 [11008/47500]	Loss: 0.4653	LR: 0.020000
Training Epoch: 27 [11264/47500]	Loss: 0.5591	LR: 0.020000
Training Epoch: 27 [11520/47500]	Loss: 0.6044	LR: 0.020000
Training Epoch: 27 [11776/47500]	Loss: 0.4576	LR: 0.020000
Training Epoch: 27 [12032/47500]	Loss: 0.4828	LR: 0.020000
Training Epoch: 27 [12288/47500]	Loss: 0.5320	LR: 0.020000
Training Epoch: 27 [12544/47500]	Loss: 0.5371	LR: 0.020000
Training Epoch: 27 [12800/47500]	Loss: 0.4595	LR: 0.020000
Training Epoch: 27 [13056/47500]	Loss: 0.4849	LR: 0.020000
Training Epoch: 27 [13312/47500]	Loss: 0.6453	LR: 0.020000
Training Epoch: 27 [13568/47500]	Loss: 0.4582	LR: 0.020000
Training Epoch: 27 [13824/47500]	Loss: 0.4710	LR: 0.020000
Training Epoch: 27 [14080/47500]	Loss: 0.4612	LR: 0.020000
Training Epoch: 27 [14336/47500]	Loss: 0.5023	LR: 0.020000
Training Epoch: 27 [14592/47500]	Loss: 0.5381	LR: 0.020000
Training Epoch: 27 [14848/47500]	Loss: 0.5132	LR: 0.020000
Training Epoch: 27 [15104/47500]	Loss: 0.6509	LR: 0.020000
Training Epoch: 27 [15360/47500]	Loss: 0.5016	LR: 0.020000
Training Epoch: 27 [15616/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 27 [15872/47500]	Loss: 0.5057	LR: 0.020000
Training Epoch: 27 [16128/47500]	Loss: 0.4814	LR: 0.020000
Training Epoch: 27 [16384/47500]	Loss: 0.4309	LR: 0.020000
Training Epoch: 27 [16640/47500]	Loss: 0.4485	LR: 0.020000
Training Epoch: 27 [16896/47500]	Loss: 0.5361	LR: 0.020000
Training Epoch: 27 [17152/47500]	Loss: 0.5310	LR: 0.020000
Training Epoch: 27 [17408/47500]	Loss: 0.5103	LR: 0.020000
Training Epoch: 27 [17664/47500]	Loss: 0.5646	LR: 0.020000
Training Epoch: 27 [17920/47500]	Loss: 0.4634	LR: 0.020000
Training Epoch: 27 [18176/47500]	Loss: 0.4895	LR: 0.020000
Training Epoch: 27 [18432/47500]	Loss: 0.4835	LR: 0.020000
Training Epoch: 27 [18688/47500]	Loss: 0.5011	LR: 0.020000
Training Epoch: 27 [18944/47500]	Loss: 0.4440	LR: 0.020000
Training Epoch: 27 [19200/47500]	Loss: 0.4257	LR: 0.020000
Training Epoch: 27 [19456/47500]	Loss: 0.4815	LR: 0.020000
Training Epoch: 27 [19712/47500]	Loss: 0.4909	LR: 0.020000
Training Epoch: 27 [19968/47500]	Loss: 0.4551	LR: 0.020000
Training Epoch: 27 [20224/47500]	Loss: 0.4832	LR: 0.020000
Training Epoch: 27 [20480/47500]	Loss: 0.5734	LR: 0.020000
Training Epoch: 27 [20736/47500]	Loss: 0.4932	LR: 0.020000
Training Epoch: 27 [20992/47500]	Loss: 0.5717	LR: 0.020000
Training Epoch: 27 [21248/47500]	Loss: 0.4289	LR: 0.020000
Training Epoch: 27 [21504/47500]	Loss: 0.4050	LR: 0.020000
Training Epoch: 27 [21760/47500]	Loss: 0.4323	LR: 0.020000
Training Epoch: 27 [22016/47500]	Loss: 0.5089	LR: 0.020000
Training Epoch: 27 [22272/47500]	Loss: 0.6178	LR: 0.020000
Training Epoch: 27 [22528/47500]	Loss: 0.6055	LR: 0.020000
Training Epoch: 27 [22784/47500]	Loss: 0.6028	LR: 0.020000
Training Epoch: 27 [23040/47500]	Loss: 0.4751	LR: 0.020000
Training Epoch: 27 [23296/47500]	Loss: 0.6579	LR: 0.020000
Training Epoch: 27 [23552/47500]	Loss: 0.4756	LR: 0.020000
Training Epoch: 27 [23808/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 27 [24064/47500]	Loss: 0.4485	LR: 0.020000
Training Epoch: 27 [24320/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 27 [24576/47500]	Loss: 0.5592	LR: 0.020000
Training Epoch: 27 [24832/47500]	Loss: 0.6002	LR: 0.020000
Training Epoch: 27 [25088/47500]	Loss: 0.4824	LR: 0.020000
Training Epoch: 27 [25344/47500]	Loss: 0.5645	LR: 0.020000
Training Epoch: 27 [25600/47500]	Loss: 0.5854	LR: 0.020000
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Training Epoch: 27 [26368/47500]	Loss: 0.6266	LR: 0.020000
Training Epoch: 27 [26624/47500]	Loss: 0.5787	LR: 0.020000
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Training Epoch: 27 [27904/47500]	Loss: 0.4745	LR: 0.020000
Training Epoch: 27 [28160/47500]	Loss: 0.5615	LR: 0.020000
Training Epoch: 27 [28416/47500]	Loss: 0.5211	LR: 0.020000
Training Epoch: 27 [28672/47500]	Loss: 0.6003	LR: 0.020000
Training Epoch: 27 [28928/47500]	Loss: 0.5419	LR: 0.020000
Training Epoch: 27 [29184/47500]	Loss: 0.5262	LR: 0.020000
Training Epoch: 27 [29440/47500]	Loss: 0.5235	LR: 0.020000
Training Epoch: 27 [29696/47500]	Loss: 0.5552	LR: 0.020000
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Training Epoch: 27 [30208/47500]	Loss: 0.4579	LR: 0.020000
Training Epoch: 27 [30464/47500]	Loss: 0.4430	LR: 0.020000
Training Epoch: 27 [30720/47500]	Loss: 0.5588	LR: 0.020000
Training Epoch: 27 [30976/47500]	Loss: 0.6137	LR: 0.020000
Training Epoch: 27 [31232/47500]	Loss: 0.6256	LR: 0.020000
Training Epoch: 27 [31488/47500]	Loss: 0.5691	LR: 0.020000
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Training Epoch: 27 [32256/47500]	Loss: 0.5091	LR: 0.020000
Training Epoch: 27 [32512/47500]	Loss: 0.5620	LR: 0.020000
Training Epoch: 27 [32768/47500]	Loss: 0.5875	LR: 0.020000
Training Epoch: 27 [33024/47500]	Loss: 0.4959	LR: 0.020000
Training Epoch: 27 [33280/47500]	Loss: 0.4535	LR: 0.020000
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Training Epoch: 27 [34816/47500]	Loss: 0.5275	LR: 0.020000
Training Epoch: 27 [35072/47500]	Loss: 0.4323	LR: 0.020000
Training Epoch: 27 [35328/47500]	Loss: 0.5125	LR: 0.020000
Training Epoch: 27 [35584/47500]	Loss: 0.5252	LR: 0.020000
Training Epoch: 27 [35840/47500]	Loss: 0.4980	LR: 0.020000
Training Epoch: 27 [36096/47500]	Loss: 0.5992	LR: 0.020000
Training Epoch: 27 [36352/47500]	Loss: 0.4877	LR: 0.020000
Training Epoch: 27 [36608/47500]	Loss: 0.5343	LR: 0.020000
Training Epoch: 27 [36864/47500]	Loss: 0.6229	LR: 0.020000
Training Epoch: 27 [37120/47500]	Loss: 0.5171	LR: 0.020000
Training Epoch: 27 [37376/47500]	Loss: 0.6711	LR: 0.020000
Training Epoch: 27 [37632/47500]	Loss: 0.6030	LR: 0.020000
Training Epoch: 27 [37888/47500]	Loss: 0.5616	LR: 0.020000
Training Epoch: 27 [38144/47500]	Loss: 0.5162	LR: 0.020000
Training Epoch: 27 [38400/47500]	Loss: 0.5088	LR: 0.020000
Training Epoch: 27 [38656/47500]	Loss: 0.5126	LR: 0.020000
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Training Epoch: 27 [39168/47500]	Loss: 0.6079	LR: 0.020000
Training Epoch: 27 [39424/47500]	Loss: 0.5351	LR: 0.020000
Training Epoch: 27 [39680/47500]	Loss: 0.5707	LR: 0.020000
Training Epoch: 27 [39936/47500]	Loss: 0.5411	LR: 0.020000
Training Epoch: 27 [40192/47500]	Loss: 0.5429	LR: 0.020000
Training Epoch: 27 [40448/47500]	Loss: 0.5347	LR: 0.020000
Training Epoch: 27 [40704/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 27 [40960/47500]	Loss: 0.4963	LR: 0.020000
Training Epoch: 27 [41216/47500]	Loss: 0.5626	LR: 0.020000
Training Epoch: 27 [41472/47500]	Loss: 0.5799	LR: 0.020000
Training Epoch: 27 [41728/47500]	Loss: 0.6180	LR: 0.020000
Training Epoch: 27 [41984/47500]	Loss: 0.5498	LR: 0.020000
Training Epoch: 27 [42240/47500]	Loss: 0.5131	LR: 0.020000
Training Epoch: 27 [42496/47500]	Loss: 0.5418	LR: 0.020000
Training Epoch: 27 [42752/47500]	Loss: 0.4692	LR: 0.020000
Training Epoch: 27 [43008/47500]	Loss: 0.4940	LR: 0.020000
Training Epoch: 27 [43264/47500]	Loss: 0.5038	LR: 0.020000
Training Epoch: 27 [43520/47500]	Loss: 0.5595	LR: 0.020000
Training Epoch: 27 [43776/47500]	Loss: 0.4834	LR: 0.020000
Training Epoch: 27 [44032/47500]	Loss: 0.5471	LR: 0.020000
Training Epoch: 27 [44288/47500]	Loss: 0.5438	LR: 0.020000
Training Epoch: 27 [44544/47500]	Loss: 0.4225	LR: 0.020000
Training Epoch: 27 [44800/47500]	Loss: 0.4914	LR: 0.020000
Training Epoch: 27 [45056/47500]	Loss: 0.4966	LR: 0.020000
Training Epoch: 27 [45312/47500]	Loss: 0.5092	LR: 0.020000
Training Epoch: 27 [45568/47500]	Loss: 0.5660	LR: 0.020000
Training Epoch: 27 [45824/47500]	Loss: 0.5445	LR: 0.020000
Training Epoch: 27 [46080/47500]	Loss: 0.5389	LR: 0.020000
Training Epoch: 27 [46336/47500]	Loss: 0.6510	LR: 0.020000
Training Epoch: 27 [46592/47500]	Loss: 0.5745	LR: 0.020000
Training Epoch: 27 [46848/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 27 [47104/47500]	Loss: 0.5210	LR: 0.020000
Training Epoch: 27 [47360/47500]	Loss: 0.5204	LR: 0.020000
Training Epoch: 27 [47500/47500]	Loss: 0.5263	LR: 0.020000
Epoch 27 - Average Train Loss: 0.5246, Train Accuracy: 0.8289
Epoch 27 training time consumed: 25.88s
Evaluating Network.....
Test set: Epoch: 27, Average loss: 0.0037, Accuracy: 0.7345, Time consumed:0.89s
Training Epoch: 28 [256/47500]	Loss: 0.4970	LR: 0.020000
Training Epoch: 28 [512/47500]	Loss: 0.3984	LR: 0.020000
Training Epoch: 28 [768/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 28 [1024/47500]	Loss: 0.4374	LR: 0.020000
Training Epoch: 28 [1280/47500]	Loss: 0.4934	LR: 0.020000
Training Epoch: 28 [1536/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 28 [1792/47500]	Loss: 0.4501	LR: 0.020000
Training Epoch: 28 [2048/47500]	Loss: 0.5229	LR: 0.020000
Training Epoch: 28 [2304/47500]	Loss: 0.5386	LR: 0.020000
Training Epoch: 28 [2560/47500]	Loss: 0.5862	LR: 0.020000
Training Epoch: 28 [2816/47500]	Loss: 0.4423	LR: 0.020000
Training Epoch: 28 [3072/47500]	Loss: 0.4678	LR: 0.020000
Training Epoch: 28 [3328/47500]	Loss: 0.5175	LR: 0.020000
Training Epoch: 28 [3584/47500]	Loss: 0.4381	LR: 0.020000
Training Epoch: 28 [3840/47500]	Loss: 0.5043	LR: 0.020000
Training Epoch: 28 [4096/47500]	Loss: 0.4426	LR: 0.020000
Training Epoch: 28 [4352/47500]	Loss: 0.5591	LR: 0.020000
Training Epoch: 28 [4608/47500]	Loss: 0.5825	LR: 0.020000
Training Epoch: 28 [4864/47500]	Loss: 0.4761	LR: 0.020000
Training Epoch: 28 [5120/47500]	Loss: 0.4923	LR: 0.020000
Training Epoch: 28 [5376/47500]	Loss: 0.4155	LR: 0.020000
Training Epoch: 28 [5632/47500]	Loss: 0.4654	LR: 0.020000
Training Epoch: 28 [5888/47500]	Loss: 0.5289	LR: 0.020000
Training Epoch: 28 [6144/47500]	Loss: 0.4507	LR: 0.020000
Training Epoch: 28 [6400/47500]	Loss: 0.5049	LR: 0.020000
Training Epoch: 28 [6656/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 28 [6912/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 28 [7168/47500]	Loss: 0.4562	LR: 0.020000
Training Epoch: 28 [7424/47500]	Loss: 0.5723	LR: 0.020000
Training Epoch: 28 [7680/47500]	Loss: 0.3590	LR: 0.020000
Training Epoch: 28 [7936/47500]	Loss: 0.4698	LR: 0.020000
Training Epoch: 28 [8192/47500]	Loss: 0.4836	LR: 0.020000
Training Epoch: 28 [8448/47500]	Loss: 0.4315	LR: 0.020000
Training Epoch: 28 [8704/47500]	Loss: 0.6822	LR: 0.020000
Training Epoch: 28 [8960/47500]	Loss: 0.4214	LR: 0.020000
Training Epoch: 28 [9216/47500]	Loss: 0.4480	LR: 0.020000
Training Epoch: 28 [9472/47500]	Loss: 0.5163	LR: 0.020000
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Training Epoch: 28 [9984/47500]	Loss: 0.5188	LR: 0.020000
Training Epoch: 28 [10240/47500]	Loss: 0.5293	LR: 0.020000
Training Epoch: 28 [10496/47500]	Loss: 0.5194	LR: 0.020000
Training Epoch: 28 [10752/47500]	Loss: 0.4201	LR: 0.020000
Training Epoch: 28 [11008/47500]	Loss: 0.5544	LR: 0.020000
Training Epoch: 28 [11264/47500]	Loss: 0.3536	LR: 0.020000
Training Epoch: 28 [11520/47500]	Loss: 0.4455	LR: 0.020000
Training Epoch: 28 [11776/47500]	Loss: 0.4312	LR: 0.020000
Training Epoch: 28 [12032/47500]	Loss: 0.4837	LR: 0.020000
Training Epoch: 28 [12288/47500]	Loss: 0.5335	LR: 0.020000
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Training Epoch: 28 [12800/47500]	Loss: 0.5104	LR: 0.020000
Training Epoch: 28 [13056/47500]	Loss: 0.4757	LR: 0.020000
Training Epoch: 28 [13312/47500]	Loss: 0.4058	LR: 0.020000
Training Epoch: 28 [13568/47500]	Loss: 0.5324	LR: 0.020000
Training Epoch: 28 [13824/47500]	Loss: 0.4882	LR: 0.020000
Training Epoch: 28 [14080/47500]	Loss: 0.4882	LR: 0.020000
Training Epoch: 28 [14336/47500]	Loss: 0.4944	LR: 0.020000
Training Epoch: 28 [14592/47500]	Loss: 0.4990	LR: 0.020000
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Training Epoch: 28 [15104/47500]	Loss: 0.4285	LR: 0.020000
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Training Epoch: 28 [15616/47500]	Loss: 0.4635	LR: 0.020000
Training Epoch: 28 [15872/47500]	Loss: 0.5602	LR: 0.020000
Training Epoch: 28 [16128/47500]	Loss: 0.4643	LR: 0.020000
Training Epoch: 28 [16384/47500]	Loss: 0.5526	LR: 0.020000
Training Epoch: 28 [16640/47500]	Loss: 0.6281	LR: 0.020000
Training Epoch: 28 [16896/47500]	Loss: 0.5967	LR: 0.020000
Training Epoch: 28 [17152/47500]	Loss: 0.5250	LR: 0.020000
Training Epoch: 28 [17408/47500]	Loss: 0.5346	LR: 0.020000
Training Epoch: 28 [17664/47500]	Loss: 0.4764	LR: 0.020000
Training Epoch: 28 [17920/47500]	Loss: 0.5024	LR: 0.020000
Training Epoch: 28 [18176/47500]	Loss: 0.5154	LR: 0.020000
Training Epoch: 28 [18432/47500]	Loss: 0.5028	LR: 0.020000
Training Epoch: 28 [18688/47500]	Loss: 0.4547	LR: 0.020000
Training Epoch: 28 [18944/47500]	Loss: 0.4905	LR: 0.020000
Training Epoch: 28 [19200/47500]	Loss: 0.3952	LR: 0.020000
Training Epoch: 28 [19456/47500]	Loss: 0.5054	LR: 0.020000
Training Epoch: 28 [19712/47500]	Loss: 0.3921	LR: 0.020000
Training Epoch: 28 [19968/47500]	Loss: 0.4938	LR: 0.020000
Training Epoch: 28 [20224/47500]	Loss: 0.5459	LR: 0.020000
Training Epoch: 28 [20480/47500]	Loss: 0.4497	LR: 0.020000
Training Epoch: 28 [20736/47500]	Loss: 0.4274	LR: 0.020000
Training Epoch: 28 [20992/47500]	Loss: 0.4927	LR: 0.020000
Training Epoch: 28 [21248/47500]	Loss: 0.5698	LR: 0.020000
Training Epoch: 28 [21504/47500]	Loss: 0.5601	LR: 0.020000
Training Epoch: 28 [21760/47500]	Loss: 0.4137	LR: 0.020000
Training Epoch: 28 [22016/47500]	Loss: 0.5487	LR: 0.020000
Training Epoch: 28 [22272/47500]	Loss: 0.5051	LR: 0.020000
Training Epoch: 28 [22528/47500]	Loss: 0.4766	LR: 0.020000
Training Epoch: 28 [22784/47500]	Loss: 0.5134	LR: 0.020000
Training Epoch: 28 [23040/47500]	Loss: 0.5175	LR: 0.020000
Training Epoch: 28 [23296/47500]	Loss: 0.6511	LR: 0.020000
Training Epoch: 28 [23552/47500]	Loss: 0.4847	LR: 0.020000
Training Epoch: 28 [23808/47500]	Loss: 0.5518	LR: 0.020000
Training Epoch: 28 [24064/47500]	Loss: 0.6019	LR: 0.020000
Training Epoch: 28 [24320/47500]	Loss: 0.5350	LR: 0.020000
Training Epoch: 28 [24576/47500]	Loss: 0.5470	LR: 0.020000
Training Epoch: 28 [24832/47500]	Loss: 0.4983	LR: 0.020000
Training Epoch: 28 [25088/47500]	Loss: 0.4972	LR: 0.020000
Training Epoch: 28 [25344/47500]	Loss: 0.5640	LR: 0.020000
Training Epoch: 28 [25600/47500]	Loss: 0.4888	LR: 0.020000
Training Epoch: 28 [25856/47500]	Loss: 0.4725	LR: 0.020000
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Training Epoch: 28 [26368/47500]	Loss: 0.5091	LR: 0.020000
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Training Epoch: 28 [27136/47500]	Loss: 0.4819	LR: 0.020000
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Training Epoch: 28 [27904/47500]	Loss: 0.5618	LR: 0.020000
Training Epoch: 28 [28160/47500]	Loss: 0.5630	LR: 0.020000
Training Epoch: 28 [28416/47500]	Loss: 0.6162	LR: 0.020000
Training Epoch: 28 [28672/47500]	Loss: 0.6301	LR: 0.020000
Training Epoch: 28 [28928/47500]	Loss: 0.4479	LR: 0.020000
Training Epoch: 28 [29184/47500]	Loss: 0.5680	LR: 0.020000
Training Epoch: 28 [29440/47500]	Loss: 0.5606	LR: 0.020000
Training Epoch: 28 [29696/47500]	Loss: 0.5089	LR: 0.020000
Training Epoch: 28 [29952/47500]	Loss: 0.6889	LR: 0.020000
Training Epoch: 28 [30208/47500]	Loss: 0.4902	LR: 0.020000
Training Epoch: 28 [30464/47500]	Loss: 0.5625	LR: 0.020000
Training Epoch: 28 [30720/47500]	Loss: 0.5791	LR: 0.020000
Training Epoch: 28 [30976/47500]	Loss: 0.5297	LR: 0.020000
Training Epoch: 28 [31232/47500]	Loss: 0.5947	LR: 0.020000
Training Epoch: 28 [31488/47500]	Loss: 0.6083	LR: 0.020000
Training Epoch: 28 [31744/47500]	Loss: 0.5928	LR: 0.020000
Training Epoch: 28 [32000/47500]	Loss: 0.4952	LR: 0.020000
Training Epoch: 28 [32256/47500]	Loss: 0.5205	LR: 0.020000
Training Epoch: 28 [32512/47500]	Loss: 0.5035	LR: 0.020000
Training Epoch: 28 [32768/47500]	Loss: 0.6085	LR: 0.020000
Training Epoch: 28 [33024/47500]	Loss: 0.5188	LR: 0.020000
Training Epoch: 28 [33280/47500]	Loss: 0.6519	LR: 0.020000
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Training Epoch: 28 [35328/47500]	Loss: 0.5811	LR: 0.020000
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Training Epoch: 28 [35840/47500]	Loss: 0.5886	LR: 0.020000
Training Epoch: 28 [36096/47500]	Loss: 0.4358	LR: 0.020000
Training Epoch: 28 [36352/47500]	Loss: 0.5876	LR: 0.020000
Training Epoch: 28 [36608/47500]	Loss: 0.5166	LR: 0.020000
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Training Epoch: 28 [37120/47500]	Loss: 0.5433	LR: 0.020000
Training Epoch: 28 [37376/47500]	Loss: 0.4511	LR: 0.020000
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Training Epoch: 28 [38400/47500]	Loss: 0.6366	LR: 0.020000
Training Epoch: 28 [38656/47500]	Loss: 0.6194	LR: 0.020000
Training Epoch: 28 [38912/47500]	Loss: 0.4662	LR: 0.020000
Training Epoch: 28 [39168/47500]	Loss: 0.4791	LR: 0.020000
Training Epoch: 28 [39424/47500]	Loss: 0.5188	LR: 0.020000
Training Epoch: 28 [39680/47500]	Loss: 0.5033	LR: 0.020000
Training Epoch: 28 [39936/47500]	Loss: 0.5797	LR: 0.020000
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Training Epoch: 28 [40448/47500]	Loss: 0.5902	LR: 0.020000
Training Epoch: 28 [40704/47500]	Loss: 0.5710	LR: 0.020000
Training Epoch: 28 [40960/47500]	Loss: 0.5576	LR: 0.020000
Training Epoch: 28 [41216/47500]	Loss: 0.5259	LR: 0.020000
Training Epoch: 28 [41472/47500]	Loss: 0.5693	LR: 0.020000
Training Epoch: 28 [41728/47500]	Loss: 0.5908	LR: 0.020000
Training Epoch: 28 [41984/47500]	Loss: 0.5579	LR: 0.020000
Training Epoch: 28 [42240/47500]	Loss: 0.4416	LR: 0.020000
Training Epoch: 28 [42496/47500]	Loss: 0.4702	LR: 0.020000
Training Epoch: 28 [42752/47500]	Loss: 0.5407	LR: 0.020000
Training Epoch: 28 [43008/47500]	Loss: 0.5290	LR: 0.020000
Training Epoch: 28 [43264/47500]	Loss: 0.5525	LR: 0.020000
Training Epoch: 28 [43520/47500]	Loss: 0.5589	LR: 0.020000
Training Epoch: 28 [43776/47500]	Loss: 0.4891	LR: 0.020000
Training Epoch: 28 [44032/47500]	Loss: 0.4817	LR: 0.020000
Training Epoch: 28 [44288/47500]	Loss: 0.5186	LR: 0.020000
Training Epoch: 28 [44544/47500]	Loss: 0.6177	LR: 0.020000
Training Epoch: 28 [44800/47500]	Loss: 0.5628	LR: 0.020000
Training Epoch: 28 [45056/47500]	Loss: 0.5491	LR: 0.020000
Training Epoch: 28 [45312/47500]	Loss: 0.4670	LR: 0.020000
Training Epoch: 28 [45568/47500]	Loss: 0.4591	LR: 0.020000
Training Epoch: 28 [45824/47500]	Loss: 0.5415	LR: 0.020000
Training Epoch: 28 [46080/47500]	Loss: 0.5608	LR: 0.020000
Training Epoch: 28 [46336/47500]	Loss: 0.4717	LR: 0.020000
Training Epoch: 28 [46592/47500]	Loss: 0.5079	LR: 0.020000
Training Epoch: 28 [46848/47500]	Loss: 0.5638	LR: 0.020000
Training Epoch: 28 [47104/47500]	Loss: 0.4957	LR: 0.020000
Training Epoch: 28 [47360/47500]	Loss: 0.6185	LR: 0.020000
Training Epoch: 28 [47500/47500]	Loss: 0.5164	LR: 0.020000
Epoch 28 - Average Train Loss: 0.5164, Train Accuracy: 0.8319
Epoch 28 training time consumed: 25.93s
Evaluating Network.....
Test set: Epoch: 28, Average loss: 0.0037, Accuracy: 0.7321, Time consumed:0.92s
Training Epoch: 29 [256/47500]	Loss: 0.4455	LR: 0.020000
Training Epoch: 29 [512/47500]	Loss: 0.4451	LR: 0.020000
Training Epoch: 29 [768/47500]	Loss: 0.3446	LR: 0.020000
Training Epoch: 29 [1024/47500]	Loss: 0.4853	LR: 0.020000
Training Epoch: 29 [1280/47500]	Loss: 0.5605	LR: 0.020000
Training Epoch: 29 [1536/47500]	Loss: 0.5472	LR: 0.020000
Training Epoch: 29 [1792/47500]	Loss: 0.4688	LR: 0.020000
Training Epoch: 29 [2048/47500]	Loss: 0.5994	LR: 0.020000
Training Epoch: 29 [2304/47500]	Loss: 0.4531	LR: 0.020000
Training Epoch: 29 [2560/47500]	Loss: 0.5235	LR: 0.020000
Training Epoch: 29 [2816/47500]	Loss: 0.5770	LR: 0.020000
Training Epoch: 29 [3072/47500]	Loss: 0.4524	LR: 0.020000
Training Epoch: 29 [3328/47500]	Loss: 0.5086	LR: 0.020000
Training Epoch: 29 [3584/47500]	Loss: 0.3647	LR: 0.020000
Training Epoch: 29 [3840/47500]	Loss: 0.4921	LR: 0.020000
Training Epoch: 29 [4096/47500]	Loss: 0.4558	LR: 0.020000
Training Epoch: 29 [4352/47500]	Loss: 0.4648	LR: 0.020000
Training Epoch: 29 [4608/47500]	Loss: 0.4963	LR: 0.020000
Training Epoch: 29 [4864/47500]	Loss: 0.4875	LR: 0.020000
Training Epoch: 29 [5120/47500]	Loss: 0.4611	LR: 0.020000
Training Epoch: 29 [5376/47500]	Loss: 0.4857	LR: 0.020000
Training Epoch: 29 [5632/47500]	Loss: 0.4585	LR: 0.020000
Training Epoch: 29 [5888/47500]	Loss: 0.5082	LR: 0.020000
Training Epoch: 29 [6144/47500]	Loss: 0.5613	LR: 0.020000
Training Epoch: 29 [6400/47500]	Loss: 0.4806	LR: 0.020000
Training Epoch: 29 [6656/47500]	Loss: 0.4916	LR: 0.020000
Training Epoch: 29 [6912/47500]	Loss: 0.5746	LR: 0.020000
Training Epoch: 29 [7168/47500]	Loss: 0.3915	LR: 0.020000
Training Epoch: 29 [7424/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 29 [7680/47500]	Loss: 0.5097	LR: 0.020000
Training Epoch: 29 [7936/47500]	Loss: 0.5183	LR: 0.020000
Training Epoch: 29 [8192/47500]	Loss: 0.4539	LR: 0.020000
Training Epoch: 29 [8448/47500]	Loss: 0.5734	LR: 0.020000
Training Epoch: 29 [8704/47500]	Loss: 0.4017	LR: 0.020000
Training Epoch: 29 [8960/47500]	Loss: 0.4374	LR: 0.020000
Training Epoch: 29 [9216/47500]	Loss: 0.5221	LR: 0.020000
Training Epoch: 29 [9472/47500]	Loss: 0.5401	LR: 0.020000
Training Epoch: 29 [9728/47500]	Loss: 0.5978	LR: 0.020000
Training Epoch: 29 [9984/47500]	Loss: 0.4775	LR: 0.020000
Training Epoch: 29 [10240/47500]	Loss: 0.4219	LR: 0.020000
Training Epoch: 29 [10496/47500]	Loss: 0.5592	LR: 0.020000
Training Epoch: 29 [10752/47500]	Loss: 0.5077	LR: 0.020000
Training Epoch: 29 [11008/47500]	Loss: 0.5046	LR: 0.020000
Training Epoch: 29 [11264/47500]	Loss: 0.5114	LR: 0.020000
Training Epoch: 29 [11520/47500]	Loss: 0.4079	LR: 0.020000
Training Epoch: 29 [11776/47500]	Loss: 0.4348	LR: 0.020000
Training Epoch: 29 [12032/47500]	Loss: 0.4417	LR: 0.020000
Training Epoch: 29 [12288/47500]	Loss: 0.5448	LR: 0.020000
Training Epoch: 29 [12544/47500]	Loss: 0.4890	LR: 0.020000
Training Epoch: 29 [12800/47500]	Loss: 0.4192	LR: 0.020000
Training Epoch: 29 [13056/47500]	Loss: 0.4305	LR: 0.020000
Training Epoch: 29 [13312/47500]	Loss: 0.4973	LR: 0.020000
Training Epoch: 29 [13568/47500]	Loss: 0.6097	LR: 0.020000
Training Epoch: 29 [13824/47500]	Loss: 0.4001	LR: 0.020000
Training Epoch: 29 [14080/47500]	Loss: 0.5469	LR: 0.020000
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Training Epoch: 29 [15616/47500]	Loss: 0.4610	LR: 0.020000
Training Epoch: 29 [15872/47500]	Loss: 0.5180	LR: 0.020000
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Training Epoch: 29 [16384/47500]	Loss: 0.3904	LR: 0.020000
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Training Epoch: 29 [16896/47500]	Loss: 0.5151	LR: 0.020000
Training Epoch: 29 [17152/47500]	Loss: 0.4608	LR: 0.020000
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Training Epoch: 29 [18944/47500]	Loss: 0.5604	LR: 0.020000
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Training Epoch: 29 [19456/47500]	Loss: 0.4569	LR: 0.020000
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Training Epoch: 29 [19968/47500]	Loss: 0.3460	LR: 0.020000
Training Epoch: 29 [20224/47500]	Loss: 0.5109	LR: 0.020000
Training Epoch: 29 [20480/47500]	Loss: 0.4608	LR: 0.020000
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Training Epoch: 29 [22016/47500]	Loss: 0.4547	LR: 0.020000
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Training Epoch: 29 [22528/47500]	Loss: 0.4750	LR: 0.020000
Training Epoch: 29 [22784/47500]	Loss: 0.5554	LR: 0.020000
Training Epoch: 29 [23040/47500]	Loss: 0.4855	LR: 0.020000
Training Epoch: 29 [23296/47500]	Loss: 0.5309	LR: 0.020000
Training Epoch: 29 [23552/47500]	Loss: 0.5418	LR: 0.020000
Training Epoch: 29 [23808/47500]	Loss: 0.4126	LR: 0.020000
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Training Epoch: 29 [24320/47500]	Loss: 0.6245	LR: 0.020000
Training Epoch: 29 [24576/47500]	Loss: 0.5509	LR: 0.020000
Training Epoch: 29 [24832/47500]	Loss: 0.4160	LR: 0.020000
Training Epoch: 29 [25088/47500]	Loss: 0.4548	LR: 0.020000
Training Epoch: 29 [25344/47500]	Loss: 0.5063	LR: 0.020000
Training Epoch: 29 [25600/47500]	Loss: 0.4841	LR: 0.020000
Training Epoch: 29 [25856/47500]	Loss: 0.4742	LR: 0.020000
Training Epoch: 29 [26112/47500]	Loss: 0.5675	LR: 0.020000
Training Epoch: 29 [26368/47500]	Loss: 0.4790	LR: 0.020000
Training Epoch: 29 [26624/47500]	Loss: 0.4269	LR: 0.020000
Training Epoch: 29 [26880/47500]	Loss: 0.4818	LR: 0.020000
Training Epoch: 29 [27136/47500]	Loss: 0.4202	LR: 0.020000
Training Epoch: 29 [27392/47500]	Loss: 0.4871	LR: 0.020000
Training Epoch: 29 [27648/47500]	Loss: 0.5662	LR: 0.020000
Training Epoch: 29 [27904/47500]	Loss: 0.4915	LR: 0.020000
Training Epoch: 29 [28160/47500]	Loss: 0.4971	LR: 0.020000
Training Epoch: 29 [28416/47500]	Loss: 0.6076	LR: 0.020000
Training Epoch: 29 [28672/47500]	Loss: 0.6368	LR: 0.020000
Training Epoch: 29 [28928/47500]	Loss: 0.5369	LR: 0.020000
Training Epoch: 29 [29184/47500]	Loss: 0.5114	LR: 0.020000
Training Epoch: 29 [29440/47500]	Loss: 0.5243	LR: 0.020000
Training Epoch: 29 [29696/47500]	Loss: 0.6294	LR: 0.020000
Training Epoch: 29 [29952/47500]	Loss: 0.4754	LR: 0.020000
Training Epoch: 29 [30208/47500]	Loss: 0.5496	LR: 0.020000
Training Epoch: 29 [30464/47500]	Loss: 0.5552	LR: 0.020000
Training Epoch: 29 [30720/47500]	Loss: 0.5583	LR: 0.020000
Training Epoch: 29 [30976/47500]	Loss: 0.4800	LR: 0.020000
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Training Epoch: 29 [32000/47500]	Loss: 0.5041	LR: 0.020000
Training Epoch: 29 [32256/47500]	Loss: 0.4789	LR: 0.020000
Training Epoch: 29 [32512/47500]	Loss: 0.4997	LR: 0.020000
Training Epoch: 29 [32768/47500]	Loss: 0.5533	LR: 0.020000
Training Epoch: 29 [33024/47500]	Loss: 0.4864	LR: 0.020000
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Training Epoch: 29 [35328/47500]	Loss: 0.5866	LR: 0.020000
Training Epoch: 29 [35584/47500]	Loss: 0.5476	LR: 0.020000
Training Epoch: 29 [35840/47500]	Loss: 0.5219	LR: 0.020000
Training Epoch: 29 [36096/47500]	Loss: 0.4371	LR: 0.020000
Training Epoch: 29 [36352/47500]	Loss: 0.4735	LR: 0.020000
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Training Epoch: 29 [36864/47500]	Loss: 0.4444	LR: 0.020000
Training Epoch: 29 [37120/47500]	Loss: 0.3646	LR: 0.020000
Training Epoch: 29 [37376/47500]	Loss: 0.5429	LR: 0.020000
Training Epoch: 29 [37632/47500]	Loss: 0.5700	LR: 0.020000
Training Epoch: 29 [37888/47500]	Loss: 0.6216	LR: 0.020000
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Training Epoch: 29 [38400/47500]	Loss: 0.6318	LR: 0.020000
Training Epoch: 29 [38656/47500]	Loss: 0.5536	LR: 0.020000
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Training Epoch: 29 [39424/47500]	Loss: 0.5060	LR: 0.020000
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Training Epoch: 29 [40192/47500]	Loss: 0.4945	LR: 0.020000
Training Epoch: 29 [40448/47500]	Loss: 0.5211	LR: 0.020000
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Training Epoch: 29 [41728/47500]	Loss: 0.6057	LR: 0.020000
Training Epoch: 29 [41984/47500]	Loss: 0.4947	LR: 0.020000
Training Epoch: 29 [42240/47500]	Loss: 0.5246	LR: 0.020000
Training Epoch: 29 [42496/47500]	Loss: 0.4786	LR: 0.020000
Training Epoch: 29 [42752/47500]	Loss: 0.6337	LR: 0.020000
Training Epoch: 29 [43008/47500]	Loss: 0.5602	LR: 0.020000
Training Epoch: 29 [43264/47500]	Loss: 0.4797	LR: 0.020000
Training Epoch: 29 [43520/47500]	Loss: 0.4223	LR: 0.020000
Training Epoch: 29 [43776/47500]	Loss: 0.6109	LR: 0.020000
Training Epoch: 29 [44032/47500]	Loss: 0.5291	LR: 0.020000
Training Epoch: 29 [44288/47500]	Loss: 0.5893	LR: 0.020000
Training Epoch: 29 [44544/47500]	Loss: 0.5625	LR: 0.020000
Training Epoch: 29 [44800/47500]	Loss: 0.4485	LR: 0.020000
Training Epoch: 29 [45056/47500]	Loss: 0.4937	LR: 0.020000
Training Epoch: 29 [45312/47500]	Loss: 0.4830	LR: 0.020000
Training Epoch: 29 [45568/47500]	Loss: 0.4845	LR: 0.020000
Training Epoch: 29 [45824/47500]	Loss: 0.5355	LR: 0.020000
Training Epoch: 29 [46080/47500]	Loss: 0.5680	LR: 0.020000
Training Epoch: 29 [46336/47500]	Loss: 0.5675	LR: 0.020000
Training Epoch: 29 [46592/47500]	Loss: 0.4454	LR: 0.020000
Training Epoch: 29 [46848/47500]	Loss: 0.3814	LR: 0.020000
Training Epoch: 29 [47104/47500]	Loss: 0.6551	LR: 0.020000
Training Epoch: 29 [47360/47500]	Loss: 0.5557	LR: 0.020000
Training Epoch: 29 [47500/47500]	Loss: 0.6749	LR: 0.020000
Epoch 29 - Average Train Loss: 0.5040, Train Accuracy: 0.8357
Epoch 29 training time consumed: 25.76s
Evaluating Network.....
Test set: Epoch: 29, Average loss: 0.0034, Accuracy: 0.7419, Time consumed:0.88s
Training Epoch: 30 [256/47500]	Loss: 0.4589	LR: 0.004000
Training Epoch: 30 [512/47500]	Loss: 0.4322	LR: 0.004000
Training Epoch: 30 [768/47500]	Loss: 0.3856	LR: 0.004000
Training Epoch: 30 [1024/47500]	Loss: 0.4557	LR: 0.004000
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Training Epoch: 30 [47500/47500]	Loss: 0.3407	LR: 0.004000
Epoch 30 - Average Train Loss: 0.3959, Train Accuracy: 0.8765
Epoch 30 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 30, Average loss: 0.0029, Accuracy: 0.7791, Time consumed:0.93s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-30-best.pth
Training Epoch: 31 [256/47500]	Loss: 0.3132	LR: 0.004000
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Training Epoch: 31 [768/47500]	Loss: 0.4115	LR: 0.004000
Training Epoch: 31 [1024/47500]	Loss: 0.3458	LR: 0.004000
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Training Epoch: 31 [1536/47500]	Loss: 0.4037	LR: 0.004000
Training Epoch: 31 [1792/47500]	Loss: 0.3092	LR: 0.004000
Training Epoch: 31 [2048/47500]	Loss: 0.4071	LR: 0.004000
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Training Epoch: 31 [47360/47500]	Loss: 0.3361	LR: 0.004000
Training Epoch: 31 [47500/47500]	Loss: 0.4165	LR: 0.004000
Epoch 31 - Average Train Loss: 0.3631, Train Accuracy: 0.8876
Epoch 31 training time consumed: 25.81s
Evaluating Network.....
Test set: Epoch: 31, Average loss: 0.0029, Accuracy: 0.7847, Time consumed:0.86s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-31-best.pth
Training Epoch: 32 [256/47500]	Loss: 0.3124	LR: 0.004000
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Training Epoch: 32 [46592/47500]	Loss: 0.3386	LR: 0.004000
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Training Epoch: 32 [47500/47500]	Loss: 0.2968	LR: 0.004000
Epoch 32 - Average Train Loss: 0.3426, Train Accuracy: 0.8935
Epoch 32 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 32, Average loss: 0.0029, Accuracy: 0.7812, Time consumed:0.91s
Training Epoch: 33 [256/47500]	Loss: 0.3037	LR: 0.004000
Training Epoch: 33 [512/47500]	Loss: 0.3094	LR: 0.004000
Training Epoch: 33 [768/47500]	Loss: 0.3138	LR: 0.004000
Training Epoch: 33 [1024/47500]	Loss: 0.3209	LR: 0.004000
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Training Epoch: 33 [3584/47500]	Loss: 0.4277	LR: 0.004000
Training Epoch: 33 [3840/47500]	Loss: 0.3017	LR: 0.004000
Training Epoch: 33 [4096/47500]	Loss: 0.3434	LR: 0.004000
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Training Epoch: 33 [4608/47500]	Loss: 0.4233	LR: 0.004000
Training Epoch: 33 [4864/47500]	Loss: 0.2731	LR: 0.004000
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Training Epoch: 33 [5376/47500]	Loss: 0.3678	LR: 0.004000
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Training Epoch: 33 [6656/47500]	Loss: 0.3797	LR: 0.004000
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Training Epoch: 33 [7168/47500]	Loss: 0.3577	LR: 0.004000
Training Epoch: 33 [7424/47500]	Loss: 0.2846	LR: 0.004000
Training Epoch: 33 [7680/47500]	Loss: 0.3205	LR: 0.004000
Training Epoch: 33 [7936/47500]	Loss: 0.3336	LR: 0.004000
Training Epoch: 33 [8192/47500]	Loss: 0.3075	LR: 0.004000
Training Epoch: 33 [8448/47500]	Loss: 0.3142	LR: 0.004000
Training Epoch: 33 [8704/47500]	Loss: 0.3618	LR: 0.004000
Training Epoch: 33 [8960/47500]	Loss: 0.4213	LR: 0.004000
Training Epoch: 33 [9216/47500]	Loss: 0.2890	LR: 0.004000
Training Epoch: 33 [9472/47500]	Loss: 0.3172	LR: 0.004000
Training Epoch: 33 [9728/47500]	Loss: 0.2388	LR: 0.004000
Training Epoch: 33 [9984/47500]	Loss: 0.3708	LR: 0.004000
Training Epoch: 33 [10240/47500]	Loss: 0.3704	LR: 0.004000
Training Epoch: 33 [10496/47500]	Loss: 0.2878	LR: 0.004000
Training Epoch: 33 [10752/47500]	Loss: 0.3530	LR: 0.004000
Training Epoch: 33 [11008/47500]	Loss: 0.3074	LR: 0.004000
Training Epoch: 33 [11264/47500]	Loss: 0.3428	LR: 0.004000
Training Epoch: 33 [11520/47500]	Loss: 0.2962	LR: 0.004000
Training Epoch: 33 [11776/47500]	Loss: 0.3402	LR: 0.004000
Training Epoch: 33 [12032/47500]	Loss: 0.3175	LR: 0.004000
Training Epoch: 33 [12288/47500]	Loss: 0.2410	LR: 0.004000
Training Epoch: 33 [12544/47500]	Loss: 0.3244	LR: 0.004000
Training Epoch: 33 [12800/47500]	Loss: 0.2413	LR: 0.004000
Training Epoch: 33 [13056/47500]	Loss: 0.4111	LR: 0.004000
Training Epoch: 33 [13312/47500]	Loss: 0.3040	LR: 0.004000
Training Epoch: 33 [13568/47500]	Loss: 0.2785	LR: 0.004000
Training Epoch: 33 [13824/47500]	Loss: 0.4408	LR: 0.004000
Training Epoch: 33 [14080/47500]	Loss: 0.2918	LR: 0.004000
Training Epoch: 33 [14336/47500]	Loss: 0.3259	LR: 0.004000
Training Epoch: 33 [14592/47500]	Loss: 0.2877	LR: 0.004000
Training Epoch: 33 [14848/47500]	Loss: 0.2989	LR: 0.004000
Training Epoch: 33 [15104/47500]	Loss: 0.2693	LR: 0.004000
Training Epoch: 33 [15360/47500]	Loss: 0.4064	LR: 0.004000
Training Epoch: 33 [15616/47500]	Loss: 0.3164	LR: 0.004000
Training Epoch: 33 [15872/47500]	Loss: 0.3023	LR: 0.004000
Training Epoch: 33 [16128/47500]	Loss: 0.3421	LR: 0.004000
Training Epoch: 33 [16384/47500]	Loss: 0.3133	LR: 0.004000
Training Epoch: 33 [16640/47500]	Loss: 0.3640	LR: 0.004000
Training Epoch: 33 [16896/47500]	Loss: 0.3831	LR: 0.004000
Training Epoch: 33 [17152/47500]	Loss: 0.3001	LR: 0.004000
Training Epoch: 33 [17408/47500]	Loss: 0.2986	LR: 0.004000
Training Epoch: 33 [17664/47500]	Loss: 0.3617	LR: 0.004000
Training Epoch: 33 [17920/47500]	Loss: 0.3121	LR: 0.004000
Training Epoch: 33 [18176/47500]	Loss: 0.2813	LR: 0.004000
Training Epoch: 33 [18432/47500]	Loss: 0.3291	LR: 0.004000
Training Epoch: 33 [18688/47500]	Loss: 0.2695	LR: 0.004000
Training Epoch: 33 [18944/47500]	Loss: 0.2787	LR: 0.004000
Training Epoch: 33 [19200/47500]	Loss: 0.3463	LR: 0.004000
Training Epoch: 33 [19456/47500]	Loss: 0.2888	LR: 0.004000
Training Epoch: 33 [19712/47500]	Loss: 0.3346	LR: 0.004000
Training Epoch: 33 [19968/47500]	Loss: 0.3125	LR: 0.004000
Training Epoch: 33 [20224/47500]	Loss: 0.4417	LR: 0.004000
Training Epoch: 33 [20480/47500]	Loss: 0.2877	LR: 0.004000
Training Epoch: 33 [20736/47500]	Loss: 0.3181	LR: 0.004000
Training Epoch: 33 [20992/47500]	Loss: 0.3262	LR: 0.004000
Training Epoch: 33 [21248/47500]	Loss: 0.3209	LR: 0.004000
Training Epoch: 33 [21504/47500]	Loss: 0.3256	LR: 0.004000
Training Epoch: 33 [21760/47500]	Loss: 0.3537	LR: 0.004000
Training Epoch: 33 [22016/47500]	Loss: 0.3574	LR: 0.004000
Training Epoch: 33 [22272/47500]	Loss: 0.2962	LR: 0.004000
Training Epoch: 33 [22528/47500]	Loss: 0.3188	LR: 0.004000
Training Epoch: 33 [22784/47500]	Loss: 0.2513	LR: 0.004000
Training Epoch: 33 [23040/47500]	Loss: 0.3793	LR: 0.004000
Training Epoch: 33 [23296/47500]	Loss: 0.3182	LR: 0.004000
Training Epoch: 33 [23552/47500]	Loss: 0.3459	LR: 0.004000
Training Epoch: 33 [23808/47500]	Loss: 0.3621	LR: 0.004000
Training Epoch: 33 [24064/47500]	Loss: 0.2927	LR: 0.004000
Training Epoch: 33 [24320/47500]	Loss: 0.2736	LR: 0.004000
Training Epoch: 33 [24576/47500]	Loss: 0.2326	LR: 0.004000
Training Epoch: 33 [24832/47500]	Loss: 0.3289	LR: 0.004000
Training Epoch: 33 [25088/47500]	Loss: 0.3421	LR: 0.004000
Training Epoch: 33 [25344/47500]	Loss: 0.3275	LR: 0.004000
Training Epoch: 33 [25600/47500]	Loss: 0.4227	LR: 0.004000
Training Epoch: 33 [25856/47500]	Loss: 0.3216	LR: 0.004000
Training Epoch: 33 [26112/47500]	Loss: 0.3785	LR: 0.004000
Training Epoch: 33 [26368/47500]	Loss: 0.2678	LR: 0.004000
Training Epoch: 33 [26624/47500]	Loss: 0.2918	LR: 0.004000
Training Epoch: 33 [26880/47500]	Loss: 0.3562	LR: 0.004000
Training Epoch: 33 [27136/47500]	Loss: 0.3281	LR: 0.004000
Training Epoch: 33 [27392/47500]	Loss: 0.3043	LR: 0.004000
Training Epoch: 33 [27648/47500]	Loss: 0.3336	LR: 0.004000
Training Epoch: 33 [27904/47500]	Loss: 0.2820	LR: 0.004000
Training Epoch: 33 [28160/47500]	Loss: 0.3793	LR: 0.004000
Training Epoch: 33 [28416/47500]	Loss: 0.3787	LR: 0.004000
Training Epoch: 33 [28672/47500]	Loss: 0.3389	LR: 0.004000
Training Epoch: 33 [28928/47500]	Loss: 0.2858	LR: 0.004000
Training Epoch: 33 [29184/47500]	Loss: 0.4264	LR: 0.004000
Training Epoch: 33 [29440/47500]	Loss: 0.3619	LR: 0.004000
Training Epoch: 33 [29696/47500]	Loss: 0.2403	LR: 0.004000
Training Epoch: 33 [29952/47500]	Loss: 0.3661	LR: 0.004000
Training Epoch: 33 [30208/47500]	Loss: 0.3671	LR: 0.004000
Training Epoch: 33 [30464/47500]	Loss: 0.3296	LR: 0.004000
Training Epoch: 33 [30720/47500]	Loss: 0.3539	LR: 0.004000
Training Epoch: 33 [30976/47500]	Loss: 0.3052	LR: 0.004000
Training Epoch: 33 [31232/47500]	Loss: 0.3735	LR: 0.004000
Training Epoch: 33 [31488/47500]	Loss: 0.3194	LR: 0.004000
Training Epoch: 33 [31744/47500]	Loss: 0.3501	LR: 0.004000
Training Epoch: 33 [32000/47500]	Loss: 0.2929	LR: 0.004000
Training Epoch: 33 [32256/47500]	Loss: 0.3140	LR: 0.004000
Training Epoch: 33 [32512/47500]	Loss: 0.3487	LR: 0.004000
Training Epoch: 33 [32768/47500]	Loss: 0.3367	LR: 0.004000
Training Epoch: 33 [33024/47500]	Loss: 0.2753	LR: 0.004000
Training Epoch: 33 [33280/47500]	Loss: 0.4088	LR: 0.004000
Training Epoch: 33 [33536/47500]	Loss: 0.3317	LR: 0.004000
Training Epoch: 33 [33792/47500]	Loss: 0.2916	LR: 0.004000
Training Epoch: 33 [34048/47500]	Loss: 0.3652	LR: 0.004000
Training Epoch: 33 [34304/47500]	Loss: 0.3730	LR: 0.004000
Training Epoch: 33 [34560/47500]	Loss: 0.2877	LR: 0.004000
Training Epoch: 33 [34816/47500]	Loss: 0.3753	LR: 0.004000
Training Epoch: 33 [35072/47500]	Loss: 0.2878	LR: 0.004000
Training Epoch: 33 [35328/47500]	Loss: 0.4183	LR: 0.004000
Training Epoch: 33 [35584/47500]	Loss: 0.3063	LR: 0.004000
Training Epoch: 33 [35840/47500]	Loss: 0.3492	LR: 0.004000
Training Epoch: 33 [36096/47500]	Loss: 0.3706	LR: 0.004000
Training Epoch: 33 [36352/47500]	Loss: 0.3143	LR: 0.004000
Training Epoch: 33 [36608/47500]	Loss: 0.4181	LR: 0.004000
Training Epoch: 33 [36864/47500]	Loss: 0.4361	LR: 0.004000
Training Epoch: 33 [37120/47500]	Loss: 0.3598	LR: 0.004000
Training Epoch: 33 [37376/47500]	Loss: 0.3852	LR: 0.004000
Training Epoch: 33 [37632/47500]	Loss: 0.3952	LR: 0.004000
Training Epoch: 33 [37888/47500]	Loss: 0.2870	LR: 0.004000
Training Epoch: 33 [38144/47500]	Loss: 0.3660	LR: 0.004000
Training Epoch: 33 [38400/47500]	Loss: 0.3505	LR: 0.004000
Training Epoch: 33 [38656/47500]	Loss: 0.2524	LR: 0.004000
Training Epoch: 33 [38912/47500]	Loss: 0.2888	LR: 0.004000
Training Epoch: 33 [39168/47500]	Loss: 0.3374	LR: 0.004000
Training Epoch: 33 [39424/47500]	Loss: 0.3580	LR: 0.004000
Training Epoch: 33 [39680/47500]	Loss: 0.3569	LR: 0.004000
Training Epoch: 33 [39936/47500]	Loss: 0.3281	LR: 0.004000
Training Epoch: 33 [40192/47500]	Loss: 0.3349	LR: 0.004000
Training Epoch: 33 [40448/47500]	Loss: 0.3636	LR: 0.004000
Training Epoch: 33 [40704/47500]	Loss: 0.3204	LR: 0.004000
Training Epoch: 33 [40960/47500]	Loss: 0.3098	LR: 0.004000
Training Epoch: 33 [41216/47500]	Loss: 0.2488	LR: 0.004000
Training Epoch: 33 [41472/47500]	Loss: 0.2868	LR: 0.004000
Training Epoch: 33 [41728/47500]	Loss: 0.2937	LR: 0.004000
Training Epoch: 33 [41984/47500]	Loss: 0.2513	LR: 0.004000
Training Epoch: 33 [42240/47500]	Loss: 0.3826	LR: 0.004000
Training Epoch: 33 [42496/47500]	Loss: 0.3948	LR: 0.004000
Training Epoch: 33 [42752/47500]	Loss: 0.3028	LR: 0.004000
Training Epoch: 33 [43008/47500]	Loss: 0.3593	LR: 0.004000
Training Epoch: 33 [43264/47500]	Loss: 0.3393	LR: 0.004000
Training Epoch: 33 [43520/47500]	Loss: 0.3335	LR: 0.004000
Training Epoch: 33 [43776/47500]	Loss: 0.3698	LR: 0.004000
Training Epoch: 33 [44032/47500]	Loss: 0.4084	LR: 0.004000
Training Epoch: 33 [44288/47500]	Loss: 0.2697	LR: 0.004000
Training Epoch: 33 [44544/47500]	Loss: 0.3319	LR: 0.004000
Training Epoch: 33 [44800/47500]	Loss: 0.2907	LR: 0.004000
Training Epoch: 33 [45056/47500]	Loss: 0.3190	LR: 0.004000
Training Epoch: 33 [45312/47500]	Loss: 0.2763	LR: 0.004000
Training Epoch: 33 [45568/47500]	Loss: 0.3140	LR: 0.004000
Training Epoch: 33 [45824/47500]	Loss: 0.2985	LR: 0.004000
Training Epoch: 33 [46080/47500]	Loss: 0.3241	LR: 0.004000
Training Epoch: 33 [46336/47500]	Loss: 0.3870	LR: 0.004000
Training Epoch: 33 [46592/47500]	Loss: 0.2866	LR: 0.004000
Training Epoch: 33 [46848/47500]	Loss: 0.3245	LR: 0.004000
Training Epoch: 33 [47104/47500]	Loss: 0.3051	LR: 0.004000
Training Epoch: 33 [47360/47500]	Loss: 0.3364	LR: 0.004000
Training Epoch: 33 [47500/47500]	Loss: 0.2804	LR: 0.004000
Epoch 33 - Average Train Loss: 0.3300, Train Accuracy: 0.8980
Epoch 33 training time consumed: 25.82s
Evaluating Network.....
Test set: Epoch: 33, Average loss: 0.0030, Accuracy: 0.7803, Time consumed:0.88s
Training Epoch: 34 [256/47500]	Loss: 0.3847	LR: 0.004000
Training Epoch: 34 [512/47500]	Loss: 0.2360	LR: 0.004000
Training Epoch: 34 [768/47500]	Loss: 0.3332	LR: 0.004000
Training Epoch: 34 [1024/47500]	Loss: 0.3538	LR: 0.004000
Training Epoch: 34 [1280/47500]	Loss: 0.3319	LR: 0.004000
Training Epoch: 34 [1536/47500]	Loss: 0.3149	LR: 0.004000
Training Epoch: 34 [1792/47500]	Loss: 0.3060	LR: 0.004000
Training Epoch: 34 [2048/47500]	Loss: 0.3478	LR: 0.004000
Training Epoch: 34 [2304/47500]	Loss: 0.3550	LR: 0.004000
Training Epoch: 34 [2560/47500]	Loss: 0.3175	LR: 0.004000
Training Epoch: 34 [2816/47500]	Loss: 0.3067	LR: 0.004000
Training Epoch: 34 [3072/47500]	Loss: 0.3173	LR: 0.004000
Training Epoch: 34 [3328/47500]	Loss: 0.3643	LR: 0.004000
Training Epoch: 34 [3584/47500]	Loss: 0.3469	LR: 0.004000
Training Epoch: 34 [3840/47500]	Loss: 0.4045	LR: 0.004000
Training Epoch: 34 [4096/47500]	Loss: 0.3393	LR: 0.004000
Training Epoch: 34 [4352/47500]	Loss: 0.2036	LR: 0.004000
Training Epoch: 34 [4608/47500]	Loss: 0.2849	LR: 0.004000
Training Epoch: 34 [4864/47500]	Loss: 0.3438	LR: 0.004000
Training Epoch: 34 [5120/47500]	Loss: 0.2743	LR: 0.004000
Training Epoch: 34 [5376/47500]	Loss: 0.3475	LR: 0.004000
Training Epoch: 34 [5632/47500]	Loss: 0.2670	LR: 0.004000
Training Epoch: 34 [5888/47500]	Loss: 0.3220	LR: 0.004000
Training Epoch: 34 [6144/47500]	Loss: 0.2860	LR: 0.004000
Training Epoch: 34 [6400/47500]	Loss: 0.3099	LR: 0.004000
Training Epoch: 34 [6656/47500]	Loss: 0.3473	LR: 0.004000
Training Epoch: 34 [6912/47500]	Loss: 0.2776	LR: 0.004000
Training Epoch: 34 [7168/47500]	Loss: 0.3564	LR: 0.004000
Training Epoch: 34 [7424/47500]	Loss: 0.2699	LR: 0.004000
Training Epoch: 34 [7680/47500]	Loss: 0.3312	LR: 0.004000
Training Epoch: 34 [7936/47500]	Loss: 0.3458	LR: 0.004000
Training Epoch: 34 [8192/47500]	Loss: 0.3054	LR: 0.004000
Training Epoch: 34 [8448/47500]	Loss: 0.2543	LR: 0.004000
Training Epoch: 34 [8704/47500]	Loss: 0.3383	LR: 0.004000
Training Epoch: 34 [8960/47500]	Loss: 0.3600	LR: 0.004000
Training Epoch: 34 [9216/47500]	Loss: 0.2953	LR: 0.004000
Training Epoch: 34 [9472/47500]	Loss: 0.2989	LR: 0.004000
Training Epoch: 34 [9728/47500]	Loss: 0.2366	LR: 0.004000
Training Epoch: 34 [9984/47500]	Loss: 0.3019	LR: 0.004000
Training Epoch: 34 [10240/47500]	Loss: 0.3574	LR: 0.004000
Training Epoch: 34 [10496/47500]	Loss: 0.3738	LR: 0.004000
Training Epoch: 34 [10752/47500]	Loss: 0.3197	LR: 0.004000
Training Epoch: 34 [11008/47500]	Loss: 0.3614	LR: 0.004000
Training Epoch: 34 [11264/47500]	Loss: 0.3490	LR: 0.004000
Training Epoch: 34 [11520/47500]	Loss: 0.3082	LR: 0.004000
Training Epoch: 34 [11776/47500]	Loss: 0.3340	LR: 0.004000
Training Epoch: 34 [12032/47500]	Loss: 0.3123	LR: 0.004000
Training Epoch: 34 [12288/47500]	Loss: 0.2928	LR: 0.004000
Training Epoch: 34 [12544/47500]	Loss: 0.3151	LR: 0.004000
Training Epoch: 34 [12800/47500]	Loss: 0.3393	LR: 0.004000
Training Epoch: 34 [13056/47500]	Loss: 0.2713	LR: 0.004000
Training Epoch: 34 [13312/47500]	Loss: 0.3579	LR: 0.004000
Training Epoch: 34 [13568/47500]	Loss: 0.3119	LR: 0.004000
Training Epoch: 34 [13824/47500]	Loss: 0.3072	LR: 0.004000
Training Epoch: 34 [14080/47500]	Loss: 0.3265	LR: 0.004000
Training Epoch: 34 [14336/47500]	Loss: 0.3200	LR: 0.004000
Training Epoch: 34 [14592/47500]	Loss: 0.2603	LR: 0.004000
Training Epoch: 34 [14848/47500]	Loss: 0.3013	LR: 0.004000
Training Epoch: 34 [15104/47500]	Loss: 0.2691	LR: 0.004000
Training Epoch: 34 [15360/47500]	Loss: 0.2671	LR: 0.004000
Training Epoch: 34 [15616/47500]	Loss: 0.2616	LR: 0.004000
Training Epoch: 34 [15872/47500]	Loss: 0.2882	LR: 0.004000
Training Epoch: 34 [16128/47500]	Loss: 0.3454	LR: 0.004000
Training Epoch: 34 [16384/47500]	Loss: 0.2621	LR: 0.004000
Training Epoch: 34 [16640/47500]	Loss: 0.3382	LR: 0.004000
Training Epoch: 34 [16896/47500]	Loss: 0.2717	LR: 0.004000
Training Epoch: 34 [17152/47500]	Loss: 0.3045	LR: 0.004000
Training Epoch: 34 [17408/47500]	Loss: 0.2851	LR: 0.004000
Training Epoch: 34 [17664/47500]	Loss: 0.3066	LR: 0.004000
Training Epoch: 34 [17920/47500]	Loss: 0.3525	LR: 0.004000
Training Epoch: 34 [18176/47500]	Loss: 0.3574	LR: 0.004000
Training Epoch: 34 [18432/47500]	Loss: 0.3619	LR: 0.004000
Training Epoch: 34 [18688/47500]	Loss: 0.3058	LR: 0.004000
Training Epoch: 34 [18944/47500]	Loss: 0.3214	LR: 0.004000
Training Epoch: 34 [19200/47500]	Loss: 0.2670	LR: 0.004000
Training Epoch: 34 [19456/47500]	Loss: 0.2887	LR: 0.004000
Training Epoch: 34 [19712/47500]	Loss: 0.3633	LR: 0.004000
Training Epoch: 34 [19968/47500]	Loss: 0.3043	LR: 0.004000
Training Epoch: 34 [20224/47500]	Loss: 0.3367	LR: 0.004000
Training Epoch: 34 [20480/47500]	Loss: 0.2958	LR: 0.004000
Training Epoch: 34 [20736/47500]	Loss: 0.3426	LR: 0.004000
Training Epoch: 34 [20992/47500]	Loss: 0.3308	LR: 0.004000
Training Epoch: 34 [21248/47500]	Loss: 0.3410	LR: 0.004000
Training Epoch: 34 [21504/47500]	Loss: 0.2714	LR: 0.004000
Training Epoch: 34 [21760/47500]	Loss: 0.2831	LR: 0.004000
Training Epoch: 34 [22016/47500]	Loss: 0.3679	LR: 0.004000
Training Epoch: 34 [22272/47500]	Loss: 0.2926	LR: 0.004000
Training Epoch: 34 [22528/47500]	Loss: 0.3354	LR: 0.004000
Training Epoch: 34 [22784/47500]	Loss: 0.3078	LR: 0.004000
Training Epoch: 34 [23040/47500]	Loss: 0.3230	LR: 0.004000
Training Epoch: 34 [23296/47500]	Loss: 0.3058	LR: 0.004000
Training Epoch: 34 [23552/47500]	Loss: 0.3452	LR: 0.004000
Training Epoch: 34 [23808/47500]	Loss: 0.3658	LR: 0.004000
Training Epoch: 34 [24064/47500]	Loss: 0.3201	LR: 0.004000
Training Epoch: 34 [24320/47500]	Loss: 0.2909	LR: 0.004000
Training Epoch: 34 [24576/47500]	Loss: 0.3264	LR: 0.004000
Training Epoch: 34 [24832/47500]	Loss: 0.3604	LR: 0.004000
Training Epoch: 34 [25088/47500]	Loss: 0.2686	LR: 0.004000
Training Epoch: 34 [25344/47500]	Loss: 0.3345	LR: 0.004000
Training Epoch: 34 [25600/47500]	Loss: 0.2993	LR: 0.004000
Training Epoch: 34 [25856/47500]	Loss: 0.3665	LR: 0.004000
Training Epoch: 34 [26112/47500]	Loss: 0.3053	LR: 0.004000
Training Epoch: 34 [26368/47500]	Loss: 0.3857	LR: 0.004000
Training Epoch: 34 [26624/47500]	Loss: 0.3260	LR: 0.004000
Training Epoch: 34 [26880/47500]	Loss: 0.2874	LR: 0.004000
Training Epoch: 34 [27136/47500]	Loss: 0.3255	LR: 0.004000
Training Epoch: 34 [27392/47500]	Loss: 0.2654	LR: 0.004000
Training Epoch: 34 [27648/47500]	Loss: 0.2767	LR: 0.004000
Training Epoch: 34 [27904/47500]	Loss: 0.3921	LR: 0.004000
Training Epoch: 34 [28160/47500]	Loss: 0.3360	LR: 0.004000
Training Epoch: 34 [28416/47500]	Loss: 0.2693	LR: 0.004000
Training Epoch: 34 [28672/47500]	Loss: 0.3748	LR: 0.004000
Training Epoch: 34 [28928/47500]	Loss: 0.3579	LR: 0.004000
Training Epoch: 34 [29184/47500]	Loss: 0.2995	LR: 0.004000
Training Epoch: 34 [29440/47500]	Loss: 0.2868	LR: 0.004000
Training Epoch: 34 [29696/47500]	Loss: 0.3852	LR: 0.004000
Training Epoch: 34 [29952/47500]	Loss: 0.3597	LR: 0.004000
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Training Epoch: 34 [43264/47500]	Loss: 0.3961	LR: 0.004000
Training Epoch: 34 [43520/47500]	Loss: 0.2723	LR: 0.004000
Training Epoch: 34 [43776/47500]	Loss: 0.3668	LR: 0.004000
Training Epoch: 34 [44032/47500]	Loss: 0.2933	LR: 0.004000
Training Epoch: 34 [44288/47500]	Loss: 0.4042	LR: 0.004000
Training Epoch: 34 [44544/47500]	Loss: 0.3075	LR: 0.004000
Training Epoch: 34 [44800/47500]	Loss: 0.2955	LR: 0.004000
Training Epoch: 34 [45056/47500]	Loss: 0.3728	LR: 0.004000
Training Epoch: 34 [45312/47500]	Loss: 0.3315	LR: 0.004000
Training Epoch: 34 [45568/47500]	Loss: 0.2820	LR: 0.004000
Training Epoch: 34 [45824/47500]	Loss: 0.3638	LR: 0.004000
Training Epoch: 34 [46080/47500]	Loss: 0.3257	LR: 0.004000
Training Epoch: 34 [46336/47500]	Loss: 0.3039	LR: 0.004000
Training Epoch: 34 [46592/47500]	Loss: 0.3502	LR: 0.004000
Training Epoch: 34 [46848/47500]	Loss: 0.3024	LR: 0.004000
Training Epoch: 34 [47104/47500]	Loss: 0.3209	LR: 0.004000
Training Epoch: 34 [47360/47500]	Loss: 0.3369	LR: 0.004000
Training Epoch: 34 [47500/47500]	Loss: 0.4012	LR: 0.004000
Epoch 34 - Average Train Loss: 0.3219, Train Accuracy: 0.9022
Epoch 34 training time consumed: 25.82s
Evaluating Network.....
Test set: Epoch: 34, Average loss: 0.0030, Accuracy: 0.7787, Time consumed:0.87s
Training Epoch: 35 [256/47500]	Loss: 0.3095	LR: 0.000800
Training Epoch: 35 [512/47500]	Loss: 0.3443	LR: 0.000800
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Training Epoch: 35 [1280/47500]	Loss: 0.3276	LR: 0.000800
Training Epoch: 35 [1536/47500]	Loss: 0.3455	LR: 0.000800
Training Epoch: 35 [1792/47500]	Loss: 0.3365	LR: 0.000800
Training Epoch: 35 [2048/47500]	Loss: 0.3216	LR: 0.000800
Training Epoch: 35 [2304/47500]	Loss: 0.3998	LR: 0.000800
Training Epoch: 35 [2560/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 35 [2816/47500]	Loss: 0.3453	LR: 0.000800
Training Epoch: 35 [3072/47500]	Loss: 0.2777	LR: 0.000800
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Training Epoch: 35 [4608/47500]	Loss: 0.3240	LR: 0.000800
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Training Epoch: 35 [5120/47500]	Loss: 0.3016	LR: 0.000800
Training Epoch: 35 [5376/47500]	Loss: 0.3129	LR: 0.000800
Training Epoch: 35 [5632/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 35 [5888/47500]	Loss: 0.2994	LR: 0.000800
Training Epoch: 35 [6144/47500]	Loss: 0.3049	LR: 0.000800
Training Epoch: 35 [6400/47500]	Loss: 0.2543	LR: 0.000800
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Training Epoch: 35 [44800/47500]	Loss: 0.2665	LR: 0.000800
Training Epoch: 35 [45056/47500]	Loss: 0.3526	LR: 0.000800
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Training Epoch: 35 [45568/47500]	Loss: 0.2996	LR: 0.000800
Training Epoch: 35 [45824/47500]	Loss: 0.3361	LR: 0.000800
Training Epoch: 35 [46080/47500]	Loss: 0.3023	LR: 0.000800
Training Epoch: 35 [46336/47500]	Loss: 0.2903	LR: 0.000800
Training Epoch: 35 [46592/47500]	Loss: 0.3249	LR: 0.000800
Training Epoch: 35 [46848/47500]	Loss: 0.2947	LR: 0.000800
Training Epoch: 35 [47104/47500]	Loss: 0.2770	LR: 0.000800
Training Epoch: 35 [47360/47500]	Loss: 0.3125	LR: 0.000800
Training Epoch: 35 [47500/47500]	Loss: 0.3084	LR: 0.000800
Epoch 35 - Average Train Loss: 0.3028, Train Accuracy: 0.9096
Epoch 35 training time consumed: 25.81s
Evaluating Network.....
Test set: Epoch: 35, Average loss: 0.0029, Accuracy: 0.7852, Time consumed:0.85s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-35-best.pth
Training Epoch: 36 [256/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 36 [512/47500]	Loss: 0.2114	LR: 0.000800
Training Epoch: 36 [768/47500]	Loss: 0.2712	LR: 0.000800
Training Epoch: 36 [1024/47500]	Loss: 0.3433	LR: 0.000800
Training Epoch: 36 [1280/47500]	Loss: 0.2516	LR: 0.000800
Training Epoch: 36 [1536/47500]	Loss: 0.2751	LR: 0.000800
Training Epoch: 36 [1792/47500]	Loss: 0.2794	LR: 0.000800
Training Epoch: 36 [2048/47500]	Loss: 0.2916	LR: 0.000800
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Training Epoch: 36 [2816/47500]	Loss: 0.2798	LR: 0.000800
Training Epoch: 36 [3072/47500]	Loss: 0.3096	LR: 0.000800
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Training Epoch: 36 [5632/47500]	Loss: 0.3394	LR: 0.000800
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Training Epoch: 36 [47360/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 36 [47500/47500]	Loss: 0.3137	LR: 0.000800
Epoch 36 - Average Train Loss: 0.2918, Train Accuracy: 0.9135
Epoch 36 training time consumed: 25.92s
Evaluating Network.....
Test set: Epoch: 36, Average loss: 0.0029, Accuracy: 0.7862, Time consumed:0.94s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-36-best.pth
Training Epoch: 37 [256/47500]	Loss: 0.2940	LR: 0.000800
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Training Epoch: 37 [45056/47500]	Loss: 0.2459	LR: 0.000800
Training Epoch: 37 [45312/47500]	Loss: 0.3174	LR: 0.000800
Training Epoch: 37 [45568/47500]	Loss: 0.2577	LR: 0.000800
Training Epoch: 37 [45824/47500]	Loss: 0.2775	LR: 0.000800
Training Epoch: 37 [46080/47500]	Loss: 0.2704	LR: 0.000800
Training Epoch: 37 [46336/47500]	Loss: 0.3043	LR: 0.000800
Training Epoch: 37 [46592/47500]	Loss: 0.2121	LR: 0.000800
Training Epoch: 37 [46848/47500]	Loss: 0.2704	LR: 0.000800
Training Epoch: 37 [47104/47500]	Loss: 0.3486	LR: 0.000800
Training Epoch: 37 [47360/47500]	Loss: 0.2891	LR: 0.000800
Training Epoch: 37 [47500/47500]	Loss: 0.2775	LR: 0.000800
Epoch 37 - Average Train Loss: 0.2903, Train Accuracy: 0.9131
Epoch 37 training time consumed: 26.45s
Evaluating Network.....
Test set: Epoch: 37, Average loss: 0.0029, Accuracy: 0.7874, Time consumed:0.87s
Saving weights file to checkpoint/retrain/AllCNN/Monday_14_July_2025_20h_30m_32s/AllCNN-Cifar20-seed2-ret50-37-best.pth
Training Epoch: 38 [256/47500]	Loss: 0.2757	LR: 0.000800
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Training Epoch: 38 [45824/47500]	Loss: 0.2330	LR: 0.000800
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Training Epoch: 38 [46592/47500]	Loss: 0.2059	LR: 0.000800
Training Epoch: 38 [46848/47500]	Loss: 0.2926	LR: 0.000800
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Training Epoch: 38 [47360/47500]	Loss: 0.3356	LR: 0.000800
Training Epoch: 38 [47500/47500]	Loss: 0.2964	LR: 0.000800
Epoch 38 - Average Train Loss: 0.2862, Train Accuracy: 0.9156
Epoch 38 training time consumed: 25.94s
Evaluating Network.....
Test set: Epoch: 38, Average loss: 0.0029, Accuracy: 0.7866, Time consumed:0.94s
Training Epoch: 39 [256/47500]	Loss: 0.2497	LR: 0.000800
Training Epoch: 39 [512/47500]	Loss: 0.2714	LR: 0.000800
Training Epoch: 39 [768/47500]	Loss: 0.3641	LR: 0.000800
Training Epoch: 39 [1024/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 39 [1280/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 39 [1536/47500]	Loss: 0.2554	LR: 0.000800
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Training Epoch: 39 [9728/47500]	Loss: 0.2923	LR: 0.000800
Training Epoch: 39 [9984/47500]	Loss: 0.3240	LR: 0.000800
Training Epoch: 39 [10240/47500]	Loss: 0.2619	LR: 0.000800
Training Epoch: 39 [10496/47500]	Loss: 0.3403	LR: 0.000800
Training Epoch: 39 [10752/47500]	Loss: 0.2234	LR: 0.000800
Training Epoch: 39 [11008/47500]	Loss: 0.2894	LR: 0.000800
Training Epoch: 39 [11264/47500]	Loss: 0.3302	LR: 0.000800
Training Epoch: 39 [11520/47500]	Loss: 0.3255	LR: 0.000800
Training Epoch: 39 [11776/47500]	Loss: 0.2754	LR: 0.000800
Training Epoch: 39 [12032/47500]	Loss: 0.2104	LR: 0.000800
Training Epoch: 39 [12288/47500]	Loss: 0.2822	LR: 0.000800
Training Epoch: 39 [12544/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 39 [12800/47500]	Loss: 0.3001	LR: 0.000800
Training Epoch: 39 [13056/47500]	Loss: 0.3136	LR: 0.000800
Training Epoch: 39 [13312/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 39 [13568/47500]	Loss: 0.3457	LR: 0.000800
Training Epoch: 39 [13824/47500]	Loss: 0.2323	LR: 0.000800
Training Epoch: 39 [14080/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 39 [14336/47500]	Loss: 0.2774	LR: 0.000800
Training Epoch: 39 [14592/47500]	Loss: 0.2667	LR: 0.000800
Training Epoch: 39 [14848/47500]	Loss: 0.2929	LR: 0.000800
Training Epoch: 39 [15104/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 39 [15360/47500]	Loss: 0.2897	LR: 0.000800
Training Epoch: 39 [15616/47500]	Loss: 0.3541	LR: 0.000800
Training Epoch: 39 [15872/47500]	Loss: 0.3096	LR: 0.000800
Training Epoch: 39 [16128/47500]	Loss: 0.2646	LR: 0.000800
Training Epoch: 39 [16384/47500]	Loss: 0.3149	LR: 0.000800
Training Epoch: 39 [16640/47500]	Loss: 0.3332	LR: 0.000800
Training Epoch: 39 [16896/47500]	Loss: 0.3283	LR: 0.000800
Training Epoch: 39 [17152/47500]	Loss: 0.3141	LR: 0.000800
Training Epoch: 39 [17408/47500]	Loss: 0.3193	LR: 0.000800
Training Epoch: 39 [17664/47500]	Loss: 0.2437	LR: 0.000800
Training Epoch: 39 [17920/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 39 [18176/47500]	Loss: 0.2631	LR: 0.000800
Training Epoch: 39 [18432/47500]	Loss: 0.3112	LR: 0.000800
Training Epoch: 39 [18688/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 39 [18944/47500]	Loss: 0.2730	LR: 0.000800
Training Epoch: 39 [19200/47500]	Loss: 0.2734	LR: 0.000800
Training Epoch: 39 [19456/47500]	Loss: 0.3299	LR: 0.000800
Training Epoch: 39 [19712/47500]	Loss: 0.3033	LR: 0.000800
Training Epoch: 39 [19968/47500]	Loss: 0.3487	LR: 0.000800
Training Epoch: 39 [20224/47500]	Loss: 0.3340	LR: 0.000800
Training Epoch: 39 [20480/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 39 [20736/47500]	Loss: 0.3364	LR: 0.000800
Training Epoch: 39 [20992/47500]	Loss: 0.3019	LR: 0.000800
Training Epoch: 39 [21248/47500]	Loss: 0.2647	LR: 0.000800
Training Epoch: 39 [21504/47500]	Loss: 0.2721	LR: 0.000800
Training Epoch: 39 [21760/47500]	Loss: 0.3722	LR: 0.000800
Training Epoch: 39 [22016/47500]	Loss: 0.2829	LR: 0.000800
Training Epoch: 39 [22272/47500]	Loss: 0.2867	LR: 0.000800
Training Epoch: 39 [22528/47500]	Loss: 0.2902	LR: 0.000800
Training Epoch: 39 [22784/47500]	Loss: 0.3342	LR: 0.000800
Training Epoch: 39 [23040/47500]	Loss: 0.2293	LR: 0.000800
Training Epoch: 39 [23296/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 39 [23552/47500]	Loss: 0.3128	LR: 0.000800
Training Epoch: 39 [23808/47500]	Loss: 0.2956	LR: 0.000800
Training Epoch: 39 [24064/47500]	Loss: 0.2765	LR: 0.000800
Training Epoch: 39 [24320/47500]	Loss: 0.3010	LR: 0.000800
Training Epoch: 39 [24576/47500]	Loss: 0.2187	LR: 0.000800
Training Epoch: 39 [24832/47500]	Loss: 0.2677	LR: 0.000800
Training Epoch: 39 [25088/47500]	Loss: 0.3582	LR: 0.000800
Training Epoch: 39 [25344/47500]	Loss: 0.2494	LR: 0.000800
Training Epoch: 39 [25600/47500]	Loss: 0.2412	LR: 0.000800
Training Epoch: 39 [25856/47500]	Loss: 0.2527	LR: 0.000800
Training Epoch: 39 [26112/47500]	Loss: 0.3219	LR: 0.000800
Training Epoch: 39 [26368/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 39 [26624/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 39 [26880/47500]	Loss: 0.3260	LR: 0.000800
Training Epoch: 39 [27136/47500]	Loss: 0.3830	LR: 0.000800
Training Epoch: 39 [27392/47500]	Loss: 0.3094	LR: 0.000800
Training Epoch: 39 [27648/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 39 [27904/47500]	Loss: 0.2209	LR: 0.000800
Training Epoch: 39 [28160/47500]	Loss: 0.2499	LR: 0.000800
Training Epoch: 39 [28416/47500]	Loss: 0.2423	LR: 0.000800
Training Epoch: 39 [28672/47500]	Loss: 0.2784	LR: 0.000800
Training Epoch: 39 [28928/47500]	Loss: 0.2281	LR: 0.000800
Training Epoch: 39 [29184/47500]	Loss: 0.3450	LR: 0.000800
Training Epoch: 39 [29440/47500]	Loss: 0.2730	LR: 0.000800
Training Epoch: 39 [29696/47500]	Loss: 0.3388	LR: 0.000800
Training Epoch: 39 [29952/47500]	Loss: 0.3105	LR: 0.000800
Training Epoch: 39 [30208/47500]	Loss: 0.2413	LR: 0.000800
Training Epoch: 39 [30464/47500]	Loss: 0.3240	LR: 0.000800
Training Epoch: 39 [30720/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 39 [30976/47500]	Loss: 0.3263	LR: 0.000800
Training Epoch: 39 [31232/47500]	Loss: 0.3213	LR: 0.000800
Training Epoch: 39 [31488/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 39 [31744/47500]	Loss: 0.2413	LR: 0.000800
Training Epoch: 39 [32000/47500]	Loss: 0.2941	LR: 0.000800
Training Epoch: 39 [32256/47500]	Loss: 0.2431	LR: 0.000800
Training Epoch: 39 [32512/47500]	Loss: 0.2873	LR: 0.000800
Training Epoch: 39 [32768/47500]	Loss: 0.2609	LR: 0.000800
Training Epoch: 39 [33024/47500]	Loss: 0.2950	LR: 0.000800
Training Epoch: 39 [33280/47500]	Loss: 0.3276	LR: 0.000800
Training Epoch: 39 [33536/47500]	Loss: 0.3177	LR: 0.000800
Training Epoch: 39 [33792/47500]	Loss: 0.2883	LR: 0.000800
Training Epoch: 39 [34048/47500]	Loss: 0.2949	LR: 0.000800
Training Epoch: 39 [34304/47500]	Loss: 0.2515	LR: 0.000800
Training Epoch: 39 [34560/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 39 [34816/47500]	Loss: 0.2848	LR: 0.000800
Training Epoch: 39 [35072/47500]	Loss: 0.2336	LR: 0.000800
Training Epoch: 39 [35328/47500]	Loss: 0.3850	LR: 0.000800
Training Epoch: 39 [35584/47500]	Loss: 0.3051	LR: 0.000800
Training Epoch: 39 [35840/47500]	Loss: 0.2855	LR: 0.000800
Training Epoch: 39 [36096/47500]	Loss: 0.2438	LR: 0.000800
Training Epoch: 39 [36352/47500]	Loss: 0.2849	LR: 0.000800
Training Epoch: 39 [36608/47500]	Loss: 0.2642	LR: 0.000800
Training Epoch: 39 [36864/47500]	Loss: 0.2539	LR: 0.000800
Training Epoch: 39 [37120/47500]	Loss: 0.3352	LR: 0.000800
Training Epoch: 39 [37376/47500]	Loss: 0.2513	LR: 0.000800
Training Epoch: 39 [37632/47500]	Loss: 0.3209	LR: 0.000800
Training Epoch: 39 [37888/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 39 [38144/47500]	Loss: 0.2516	LR: 0.000800
Training Epoch: 39 [38400/47500]	Loss: 0.2942	LR: 0.000800
Training Epoch: 39 [38656/47500]	Loss: 0.3766	LR: 0.000800
Training Epoch: 39 [38912/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 39 [39168/47500]	Loss: 0.2994	LR: 0.000800
Training Epoch: 39 [39424/47500]	Loss: 0.3536	LR: 0.000800
Training Epoch: 39 [39680/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 39 [39936/47500]	Loss: 0.2827	LR: 0.000800
Training Epoch: 39 [40192/47500]	Loss: 0.3100	LR: 0.000800
Training Epoch: 39 [40448/47500]	Loss: 0.2126	LR: 0.000800
Training Epoch: 39 [40704/47500]	Loss: 0.3125	LR: 0.000800
Training Epoch: 39 [40960/47500]	Loss: 0.2602	LR: 0.000800
Training Epoch: 39 [41216/47500]	Loss: 0.2490	LR: 0.000800
Training Epoch: 39 [41472/47500]	Loss: 0.2808	LR: 0.000800
Training Epoch: 39 [41728/47500]	Loss: 0.3707	LR: 0.000800
Training Epoch: 39 [41984/47500]	Loss: 0.2575	LR: 0.000800
Training Epoch: 39 [42240/47500]	Loss: 0.2989	LR: 0.000800
Training Epoch: 39 [42496/47500]	Loss: 0.2870	LR: 0.000800
Training Epoch: 39 [42752/47500]	Loss: 0.2592	LR: 0.000800
Training Epoch: 39 [43008/47500]	Loss: 0.3416	LR: 0.000800
Training Epoch: 39 [43264/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 39 [43520/47500]	Loss: 0.3488	LR: 0.000800
Training Epoch: 39 [43776/47500]	Loss: 0.3483	LR: 0.000800
Training Epoch: 39 [44032/47500]	Loss: 0.2983	LR: 0.000800
Training Epoch: 39 [44288/47500]	Loss: 0.2417	LR: 0.000800
Training Epoch: 39 [44544/47500]	Loss: 0.2552	LR: 0.000800
Training Epoch: 39 [44800/47500]	Loss: 0.2999	LR: 0.000800
Training Epoch: 39 [45056/47500]	Loss: 0.3006	LR: 0.000800
Training Epoch: 39 [45312/47500]	Loss: 0.2585	LR: 0.000800
Training Epoch: 39 [45568/47500]	Loss: 0.3017	LR: 0.000800
Training Epoch: 39 [45824/47500]	Loss: 0.3042	LR: 0.000800
Training Epoch: 39 [46080/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 39 [46336/47500]	Loss: 0.3062	LR: 0.000800
Training Epoch: 39 [46592/47500]	Loss: 0.3076	LR: 0.000800
Training Epoch: 39 [46848/47500]	Loss: 0.3452	LR: 0.000800
Training Epoch: 39 [47104/47500]	Loss: 0.2764	LR: 0.000800
Training Epoch: 39 [47360/47500]	Loss: 0.2553	LR: 0.000800
Training Epoch: 39 [47500/47500]	Loss: 0.2521	LR: 0.000800
Epoch 39 - Average Train Loss: 0.2886, Train Accuracy: 0.9139
Epoch 39 training time consumed: 25.88s
Evaluating Network.....
Test set: Epoch: 39, Average loss: 0.0029, Accuracy: 0.7859, Time consumed:0.97s
Training Epoch: 40 [256/47500]	Loss: 0.3470	LR: 0.000800
Training Epoch: 40 [512/47500]	Loss: 0.2904	LR: 0.000800
Training Epoch: 40 [768/47500]	Loss: 0.3059	LR: 0.000800
Training Epoch: 40 [1024/47500]	Loss: 0.3342	LR: 0.000800
Training Epoch: 40 [1280/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 40 [1536/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 40 [1792/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 40 [2048/47500]	Loss: 0.2934	LR: 0.000800
Training Epoch: 40 [2304/47500]	Loss: 0.3203	LR: 0.000800
Training Epoch: 40 [2560/47500]	Loss: 0.3474	LR: 0.000800
Training Epoch: 40 [2816/47500]	Loss: 0.2349	LR: 0.000800
Training Epoch: 40 [3072/47500]	Loss: 0.2334	LR: 0.000800
Training Epoch: 40 [3328/47500]	Loss: 0.2543	LR: 0.000800
Training Epoch: 40 [3584/47500]	Loss: 0.2911	LR: 0.000800
Training Epoch: 40 [3840/47500]	Loss: 0.2562	LR: 0.000800
Training Epoch: 40 [4096/47500]	Loss: 0.3551	LR: 0.000800
Training Epoch: 40 [4352/47500]	Loss: 0.2533	LR: 0.000800
Training Epoch: 40 [4608/47500]	Loss: 0.3475	LR: 0.000800
Training Epoch: 40 [4864/47500]	Loss: 0.3788	LR: 0.000800
Training Epoch: 40 [5120/47500]	Loss: 0.2825	LR: 0.000800
Training Epoch: 40 [5376/47500]	Loss: 0.3145	LR: 0.000800
Training Epoch: 40 [5632/47500]	Loss: 0.2927	LR: 0.000800
Training Epoch: 40 [5888/47500]	Loss: 0.2617	LR: 0.000800
Training Epoch: 40 [6144/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 40 [6400/47500]	Loss: 0.2307	LR: 0.000800
Training Epoch: 40 [6656/47500]	Loss: 0.2006	LR: 0.000800
Training Epoch: 40 [6912/47500]	Loss: 0.3431	LR: 0.000800
Training Epoch: 40 [7168/47500]	Loss: 0.2857	LR: 0.000800
Training Epoch: 40 [7424/47500]	Loss: 0.2747	LR: 0.000800
Training Epoch: 40 [7680/47500]	Loss: 0.3067	LR: 0.000800
Training Epoch: 40 [7936/47500]	Loss: 0.2563	LR: 0.000800
Training Epoch: 40 [8192/47500]	Loss: 0.3551	LR: 0.000800
Training Epoch: 40 [8448/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 40 [8704/47500]	Loss: 0.2928	LR: 0.000800
Training Epoch: 40 [8960/47500]	Loss: 0.2395	LR: 0.000800
Training Epoch: 40 [9216/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 40 [9472/47500]	Loss: 0.3068	LR: 0.000800
Training Epoch: 40 [9728/47500]	Loss: 0.3314	LR: 0.000800
Training Epoch: 40 [9984/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 40 [10240/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 40 [10496/47500]	Loss: 0.2448	LR: 0.000800
Training Epoch: 40 [10752/47500]	Loss: 0.3194	LR: 0.000800
Training Epoch: 40 [11008/47500]	Loss: 0.3692	LR: 0.000800
Training Epoch: 40 [11264/47500]	Loss: 0.3902	LR: 0.000800
Training Epoch: 40 [11520/47500]	Loss: 0.3251	LR: 0.000800
Training Epoch: 40 [11776/47500]	Loss: 0.2700	LR: 0.000800
Training Epoch: 40 [12032/47500]	Loss: 0.2761	LR: 0.000800
Training Epoch: 40 [12288/47500]	Loss: 0.2484	LR: 0.000800
Training Epoch: 40 [12544/47500]	Loss: 0.2913	LR: 0.000800
Training Epoch: 40 [12800/47500]	Loss: 0.2841	LR: 0.000800
Training Epoch: 40 [13056/47500]	Loss: 0.2773	LR: 0.000800
Training Epoch: 40 [13312/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 40 [13568/47500]	Loss: 0.2888	LR: 0.000800
Training Epoch: 40 [13824/47500]	Loss: 0.2391	LR: 0.000800
Training Epoch: 40 [14080/47500]	Loss: 0.2455	LR: 0.000800
Training Epoch: 40 [14336/47500]	Loss: 0.3240	LR: 0.000800
Training Epoch: 40 [14592/47500]	Loss: 0.2845	LR: 0.000800
Training Epoch: 40 [14848/47500]	Loss: 0.2510	LR: 0.000800
Training Epoch: 40 [15104/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 40 [15360/47500]	Loss: 0.2747	LR: 0.000800
Training Epoch: 40 [15616/47500]	Loss: 0.2044	LR: 0.000800
Training Epoch: 40 [15872/47500]	Loss: 0.2722	LR: 0.000800
Training Epoch: 40 [16128/47500]	Loss: 0.3008	LR: 0.000800
Training Epoch: 40 [16384/47500]	Loss: 0.3466	LR: 0.000800
Training Epoch: 40 [16640/47500]	Loss: 0.2220	LR: 0.000800
Training Epoch: 40 [16896/47500]	Loss: 0.2236	LR: 0.000800
Training Epoch: 40 [17152/47500]	Loss: 0.3067	LR: 0.000800
Training Epoch: 40 [17408/47500]	Loss: 0.2984	LR: 0.000800
Training Epoch: 40 [17664/47500]	Loss: 0.2907	LR: 0.000800
Training Epoch: 40 [17920/47500]	Loss: 0.2502	LR: 0.000800
Training Epoch: 40 [18176/47500]	Loss: 0.2622	LR: 0.000800
Training Epoch: 40 [18432/47500]	Loss: 0.3546	LR: 0.000800
Training Epoch: 40 [18688/47500]	Loss: 0.2112	LR: 0.000800
Training Epoch: 40 [18944/47500]	Loss: 0.2946	LR: 0.000800
Training Epoch: 40 [19200/47500]	Loss: 0.2623	LR: 0.000800
Training Epoch: 40 [19456/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 40 [19712/47500]	Loss: 0.2788	LR: 0.000800
Training Epoch: 40 [19968/47500]	Loss: 0.2993	LR: 0.000800
Training Epoch: 40 [20224/47500]	Loss: 0.2523	LR: 0.000800
Training Epoch: 40 [20480/47500]	Loss: 0.3268	LR: 0.000800
Training Epoch: 40 [20736/47500]	Loss: 0.3081	LR: 0.000800
Training Epoch: 40 [20992/47500]	Loss: 0.2657	LR: 0.000800
Training Epoch: 40 [21248/47500]	Loss: 0.2771	LR: 0.000800
Training Epoch: 40 [21504/47500]	Loss: 0.2559	LR: 0.000800
Training Epoch: 40 [21760/47500]	Loss: 0.2730	LR: 0.000800
Training Epoch: 40 [22016/47500]	Loss: 0.3268	LR: 0.000800
Training Epoch: 40 [22272/47500]	Loss: 0.3317	LR: 0.000800
Training Epoch: 40 [22528/47500]	Loss: 0.2546	LR: 0.000800
Training Epoch: 40 [22784/47500]	Loss: 0.2890	LR: 0.000800
Training Epoch: 40 [23040/47500]	Loss: 0.2396	LR: 0.000800
Training Epoch: 40 [23296/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 40 [23552/47500]	Loss: 0.3084	LR: 0.000800
Training Epoch: 40 [23808/47500]	Loss: 0.3197	LR: 0.000800
Training Epoch: 40 [24064/47500]	Loss: 0.2922	LR: 0.000800
Training Epoch: 40 [24320/47500]	Loss: 0.2653	LR: 0.000800
Training Epoch: 40 [24576/47500]	Loss: 0.2945	LR: 0.000800
Training Epoch: 40 [24832/47500]	Loss: 0.2988	LR: 0.000800
Training Epoch: 40 [25088/47500]	Loss: 0.2583	LR: 0.000800
Training Epoch: 40 [25344/47500]	Loss: 0.2884	LR: 0.000800
Training Epoch: 40 [25600/47500]	Loss: 0.2430	LR: 0.000800
Training Epoch: 40 [25856/47500]	Loss: 0.3235	LR: 0.000800
Training Epoch: 40 [26112/47500]	Loss: 0.2486	LR: 0.000800
Training Epoch: 40 [26368/47500]	Loss: 0.2519	LR: 0.000800
Training Epoch: 40 [26624/47500]	Loss: 0.3047	LR: 0.000800
Training Epoch: 40 [26880/47500]	Loss: 0.2881	LR: 0.000800
Training Epoch: 40 [27136/47500]	Loss: 0.2780	LR: 0.000800
Training Epoch: 40 [27392/47500]	Loss: 0.2485	LR: 0.000800
Training Epoch: 40 [27648/47500]	Loss: 0.3270	LR: 0.000800
Training Epoch: 40 [27904/47500]	Loss: 0.3511	LR: 0.000800
Training Epoch: 40 [28160/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 40 [28416/47500]	Loss: 0.2635	LR: 0.000800
Training Epoch: 40 [28672/47500]	Loss: 0.2679	LR: 0.000800
Training Epoch: 40 [28928/47500]	Loss: 0.2517	LR: 0.000800
Training Epoch: 40 [29184/47500]	Loss: 0.2998	LR: 0.000800
Training Epoch: 40 [29440/47500]	Loss: 0.2561	LR: 0.000800
Training Epoch: 40 [29696/47500]	Loss: 0.2718	LR: 0.000800
Training Epoch: 40 [29952/47500]	Loss: 0.2987	LR: 0.000800
Training Epoch: 40 [30208/47500]	Loss: 0.2939	LR: 0.000800
Training Epoch: 40 [30464/47500]	Loss: 0.3259	LR: 0.000800
Training Epoch: 40 [30720/47500]	Loss: 0.2652	LR: 0.000800
Training Epoch: 40 [30976/47500]	Loss: 0.2487	LR: 0.000800
Training Epoch: 40 [31232/47500]	Loss: 0.2079	LR: 0.000800
Training Epoch: 40 [31488/47500]	Loss: 0.2612	LR: 0.000800
Training Epoch: 40 [31744/47500]	Loss: 0.2951	LR: 0.000800
Training Epoch: 40 [32000/47500]	Loss: 0.2840	LR: 0.000800
Training Epoch: 40 [32256/47500]	Loss: 0.2271	LR: 0.000800
Training Epoch: 40 [32512/47500]	Loss: 0.3263	LR: 0.000800
Training Epoch: 40 [32768/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 40 [33024/47500]	Loss: 0.2342	LR: 0.000800
Training Epoch: 40 [33280/47500]	Loss: 0.2632	LR: 0.000800
Training Epoch: 40 [33536/47500]	Loss: 0.2514	LR: 0.000800
Training Epoch: 40 [33792/47500]	Loss: 0.3005	LR: 0.000800
Training Epoch: 40 [34048/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 40 [34304/47500]	Loss: 0.2332	LR: 0.000800
Training Epoch: 40 [34560/47500]	Loss: 0.3407	LR: 0.000800
Training Epoch: 40 [34816/47500]	Loss: 0.2690	LR: 0.000800
Training Epoch: 40 [35072/47500]	Loss: 0.2963	LR: 0.000800
Training Epoch: 40 [35328/47500]	Loss: 0.3061	LR: 0.000800
Training Epoch: 40 [35584/47500]	Loss: 0.3233	LR: 0.000800
Training Epoch: 40 [35840/47500]	Loss: 0.3306	LR: 0.000800
Training Epoch: 40 [36096/47500]	Loss: 0.2650	LR: 0.000800
Training Epoch: 40 [36352/47500]	Loss: 0.2961	LR: 0.000800
Training Epoch: 40 [36608/47500]	Loss: 0.2636	LR: 0.000800
Training Epoch: 40 [36864/47500]	Loss: 0.2352	LR: 0.000800
Training Epoch: 40 [37120/47500]	Loss: 0.3650	LR: 0.000800
Training Epoch: 40 [37376/47500]	Loss: 0.3508	LR: 0.000800
Training Epoch: 40 [37632/47500]	Loss: 0.3277	LR: 0.000800
Training Epoch: 40 [37888/47500]	Loss: 0.1867	LR: 0.000800
Training Epoch: 40 [38144/47500]	Loss: 0.3046	LR: 0.000800
Training Epoch: 40 [38400/47500]	Loss: 0.2572	LR: 0.000800
Training Epoch: 40 [38656/47500]	Loss: 0.2749	LR: 0.000800
Training Epoch: 40 [38912/47500]	Loss: 0.3191	LR: 0.000800
Training Epoch: 40 [39168/47500]	Loss: 0.2582	LR: 0.000800
Training Epoch: 40 [39424/47500]	Loss: 0.2388	LR: 0.000800
Training Epoch: 40 [39680/47500]	Loss: 0.2698	LR: 0.000800
Training Epoch: 40 [39936/47500]	Loss: 0.2705	LR: 0.000800
Training Epoch: 40 [40192/47500]	Loss: 0.2931	LR: 0.000800
Training Epoch: 40 [40448/47500]	Loss: 0.2877	LR: 0.000800
Training Epoch: 40 [40704/47500]	Loss: 0.3130	LR: 0.000800
Training Epoch: 40 [40960/47500]	Loss: 0.2058	LR: 0.000800
Training Epoch: 40 [41216/47500]	Loss: 0.2995	LR: 0.000800
Training Epoch: 40 [41472/47500]	Loss: 0.3013	LR: 0.000800
Training Epoch: 40 [41728/47500]	Loss: 0.2147	LR: 0.000800
Training Epoch: 40 [41984/47500]	Loss: 0.2614	LR: 0.000800
Training Epoch: 40 [42240/47500]	Loss: 0.2610	LR: 0.000800
Training Epoch: 40 [42496/47500]	Loss: 0.3070	LR: 0.000800
Training Epoch: 40 [42752/47500]	Loss: 0.2739	LR: 0.000800
Training Epoch: 40 [43008/47500]	Loss: 0.2628	LR: 0.000800
Training Epoch: 40 [43264/47500]	Loss: 0.2351	LR: 0.000800
Training Epoch: 40 [43520/47500]	Loss: 0.2720	LR: 0.000800
Training Epoch: 40 [43776/47500]	Loss: 0.4110	LR: 0.000800
Training Epoch: 40 [44032/47500]	Loss: 0.3240	LR: 0.000800
Training Epoch: 40 [44288/47500]	Loss: 0.2013	LR: 0.000800
Training Epoch: 40 [44544/47500]	Loss: 0.3140	LR: 0.000800
Training Epoch: 40 [44800/47500]	Loss: 0.2281	LR: 0.000800
Training Epoch: 40 [45056/47500]	Loss: 0.2738	LR: 0.000800
Training Epoch: 40 [45312/47500]	Loss: 0.2889	LR: 0.000800
Training Epoch: 40 [45568/47500]	Loss: 0.3298	LR: 0.000800
Training Epoch: 40 [45824/47500]	Loss: 0.3199	LR: 0.000800
Training Epoch: 40 [46080/47500]	Loss: 0.2545	LR: 0.000800
Training Epoch: 40 [46336/47500]	Loss: 0.3127	LR: 0.000800
Training Epoch: 40 [46592/47500]	Loss: 0.2936	LR: 0.000800
Training Epoch: 40 [46848/47500]	Loss: 0.2744	LR: 0.000800
Training Epoch: 40 [47104/47500]	Loss: 0.2498	LR: 0.000800
Training Epoch: 40 [47360/47500]	Loss: 0.2818	LR: 0.000800
Training Epoch: 40 [47500/47500]	Loss: 0.2517	LR: 0.000800
Epoch 40 - Average Train Loss: 0.2833, Train Accuracy: 0.9157
Epoch 40 training time consumed: 25.80s
Evaluating Network.....
Test set: Epoch: 40, Average loss: 0.0029, Accuracy: 0.7865, Time consumed:0.87s
Valid (Test) Dl:  10000
Train Dl:  50000
Retain Train Dl:  47500
Forget Train Dl:  2500
Retain Valid Dl:  47500
Forget Valid Dl:  2500
retain_prob Distribution: 10000 samples
test_prob Distribution: 10000 samples
forget_prob Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 2500 samples
Set2 Distribution: 2500 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Set1 Distribution: 10000 samples
Set2 Distribution: 10000 samples
Test Accuracy: 78.7109375
Retain Accuracy: 92.18233489990234
Zero-Retain Forget (ZRF): 0.9150905013084412
Membership Inference Attack (MIA): 0.5196
Forget vs Retain Membership Inference Attack (MIA): 0.556
Forget vs Test Membership Inference Attack (MIA): 0.574
Test vs Retain Membership Inference Attack (MIA): 0.48825
Train vs Test Membership Inference Attack (MIA): 0.561
Forget Set Accuracy (Df): 77.93208312988281
Method Execution Time: 1569.09 seconds
