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out_CORA.txt
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out_CORA.txt
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Namespace(alpha=0.3, dataset='cora', dropout=0.8, gpu=1, label_n_per_class=20, lr=0.01, n_epochs=300, n_hidden=64, n_layers=2, seed=0, self_loop=True, value=0.5, weight_decay=0.0005)
NumNodes: 2708
NumEdges: 10556
NumFeats: 1433
NumClasses: 7
NumTrainingSamples: 140
NumValidationSamples: 500
NumTestSamples: 1000
Done loading data from cached files.
filtered_cos_dict 221
NumNodes: 2708
NumEdges: 10556
NumFeats: 1433
NumClasses: 7
NumTrainingSamples: 140
NumValidationSamples: 500
NumTestSamples: 1000
Done loading data from cached files.
standard split
The training set index for class 0 is [52, 501, 580, 910, 925, 1002, 1209, 1372, 1794, 1795, 1826, 1852, 2001, 2004, 2013, 2020, 2068, 2223, 2569, 2658]
The training set index for class 1 is [432, 468, 479, 741, 859, 866, 1162, 1308, 1327, 1337, 1343, 1587, 1921, 1938, 1939, 1941, 2029, 2141, 2208, 2209]
The training set index for class 2 is [417, 419, 429, 452, 736, 760, 776, 812, 818, 821, 1410, 1415, 1428, 1454, 1487, 1488, 1516, 1544, 2468, 2469]
The training set index for class 3 is [79, 184, 431, 554, 637, 645, 899, 1049, 1281, 1716, 1793, 1879, 1898, 1924, 2079, 2156, 2224, 2337, 2367, 2543]
The training set index for class 4 is [3, 7, 34, 74, 484, 1819, 2032, 2064, 2160, 2169, 2226, 2232, 2287, 2296, 2445, 2518, 2528, 2669, 2673, 2681]
The training set index for class 5 is [24, 240, 242, 266, 310, 328, 352, 403, 602, 623, 624, 666, 845, 850, 1047, 1101, 1286, 1682, 1683, 1958]
The training set index for class 6 is [65, 67, 69, 70, 72, 130, 138, 140, 168, 186, 346, 542, 575, 592, 1082, 1230, 1754, 1981, 1985, 2401]
train_indices 140
----Data statistics------'
#Edges 10556
#Classes 7
#Train samples 140
#Val samples 500
#Test samples 1000
model GCNv2(
(layers): ModuleList(
(0): GraphConvolution (1433 -> 64)
(1): GraphConvolution (64 -> 7)
)
)
trainable parameters 92231
accept_rate 0.9998666666666667
new_distr_dictionary 441 441
Epoch 00000 | Time(s) nan | Loss -0.5840 | Accuracy 0.1020 | ETputs(KTEPS) nan
Epoch 00001 | Time(s) nan | Loss 1.9535 | Accuracy 0.1120 | ETputs(KTEPS) nan
Epoch 00002 | Time(s) nan | Loss 1.9491 | Accuracy 0.1140 | ETputs(KTEPS) nan
Epoch 00003 | Time(s) 0.0038 | Loss 1.9428 | Accuracy 0.2620 | ETputs(KTEPS) 3522.21
Epoch 00004 | Time(s) 0.0038 | Loss -0.5813 | Accuracy 0.2480 | ETputs(KTEPS) 3506.89
Epoch 00005 | Time(s) 0.0038 | Loss -0.5808 | Accuracy 0.2320 | ETputs(KTEPS) 3505.49
Epoch 00006 | Time(s) 0.0038 | Loss -0.5808 | Accuracy 0.1880 | ETputs(KTEPS) 3499.83
Epoch 00007 | Time(s) 0.0038 | Loss 1.9385 | Accuracy 0.2520 | ETputs(KTEPS) 3504.41
Epoch 00008 | Time(s) 0.0038 | Loss 1.9366 | Accuracy 0.3720 | ETputs(KTEPS) 3479.29
Epoch 00009 | Time(s) 0.0038 | Loss -0.5802 | Accuracy 0.3940 | ETputs(KTEPS) 3473.33
accept_rate 0.9998
new_distr_dictionary 441 441
Epoch 00010 | Time(s) 0.0038 | Loss -0.5802 | Accuracy 0.3620 | ETputs(KTEPS) 3448.81
Epoch 00011 | Time(s) 0.0040 | Loss 1.9324 | Accuracy 0.4320 | ETputs(KTEPS) 3307.87
Epoch 00012 | Time(s) 0.0040 | Loss 1.9308 | Accuracy 0.4740 | ETputs(KTEPS) 3308.37
Epoch 00013 | Time(s) 0.0040 | Loss -0.5782 | Accuracy 0.4940 | ETputs(KTEPS) 3325.83
Epoch 00014 | Time(s) 0.0040 | Loss -0.5780 | Accuracy 0.4220 | ETputs(KTEPS) 3337.66
Epoch 00015 | Time(s) 0.0040 | Loss -0.5773 | Accuracy 0.3700 | ETputs(KTEPS) 3345.62
Epoch 00016 | Time(s) 0.0040 | Loss -0.5776 | Accuracy 0.2920 | ETputs(KTEPS) 3353.33
Epoch 00017 | Time(s) 0.0039 | Loss 1.9247 | Accuracy 0.3220 | ETputs(KTEPS) 3362.31
Epoch 00018 | Time(s) 0.0039 | Loss -0.5775 | Accuracy 0.3460 | ETputs(KTEPS) 3373.39
Epoch 00019 | Time(s) 0.0039 | Loss 1.9255 | Accuracy 0.4000 | ETputs(KTEPS) 3390.16
accept_rate 0.9996666666666667
new_distr_dictionary 441 441
Epoch 00020 | Time(s) 0.0039 | Loss 1.9224 | Accuracy 0.5080 | ETputs(KTEPS) 3393.56
Epoch 00021 | Time(s) 0.0039 | Loss -0.5763 | Accuracy 0.6120 | ETputs(KTEPS) 3397.94
Epoch 00022 | Time(s) 0.0039 | Loss -0.5752 | Accuracy 0.6360 | ETputs(KTEPS) 3399.35
Epoch 00023 | Time(s) 0.0039 | Loss -0.5762 | Accuracy 0.6300 | ETputs(KTEPS) 3402.19
Epoch 00024 | Time(s) 0.0039 | Loss -0.5755 | Accuracy 0.5780 | ETputs(KTEPS) 3402.30
Epoch 00025 | Time(s) 0.0039 | Loss -0.5754 | Accuracy 0.4740 | ETputs(KTEPS) 3407.43
Epoch 00026 | Time(s) 0.0039 | Loss -0.5760 | Accuracy 0.3200 | ETputs(KTEPS) 3409.49
Epoch 00027 | Time(s) 0.0039 | Loss -0.5772 | Accuracy 0.2300 | ETputs(KTEPS) 3415.32
Epoch 00028 | Time(s) 0.0039 | Loss 1.9252 | Accuracy 0.2400 | ETputs(KTEPS) 3419.96
Epoch 00029 | Time(s) 0.0039 | Loss 1.9279 | Accuracy 0.3180 | ETputs(KTEPS) 3422.38
accept_rate 0.9992
new_distr_dictionary 441 441
Epoch 00030 | Time(s) 0.0039 | Loss -0.5776 | Accuracy 0.4180 | ETputs(KTEPS) 3417.43
Epoch 00031 | Time(s) 0.0039 | Loss -0.5773 | Accuracy 0.5060 | ETputs(KTEPS) 3418.41
Epoch 00032 | Time(s) 0.0039 | Loss -0.5776 | Accuracy 0.5100 | ETputs(KTEPS) 3423.92
Epoch 00033 | Time(s) 0.0039 | Loss 1.9257 | Accuracy 0.5240 | ETputs(KTEPS) 3428.19
Epoch 00034 | Time(s) 0.0039 | Loss -0.5775 | Accuracy 0.5120 | ETputs(KTEPS) 3430.56
Epoch 00035 | Time(s) 0.0039 | Loss 1.9263 | Accuracy 0.5060 | ETputs(KTEPS) 3432.48
Epoch 00036 | Time(s) 0.0039 | Loss 1.9239 | Accuracy 0.5340 | ETputs(KTEPS) 3436.78
Epoch 00037 | Time(s) 0.0039 | Loss -0.5766 | Accuracy 0.5220 | ETputs(KTEPS) 3441.12
Epoch 00038 | Time(s) 0.0039 | Loss 1.9204 | Accuracy 0.5820 | ETputs(KTEPS) 3443.63
Epoch 00039 | Time(s) 0.0038 | Loss 1.9169 | Accuracy 0.6300 | ETputs(KTEPS) 3449.06
accept_rate 0.9983333333333333
new_distr_dictionary 441 441
Epoch 00040 | Time(s) 0.0039 | Loss -0.5750 | Accuracy 0.6840 | ETputs(KTEPS) 3445.10
Epoch 00041 | Time(s) 0.0038 | Loss 1.9144 | Accuracy 0.6920 | ETputs(KTEPS) 3446.15
Epoch 00042 | Time(s) 0.0038 | Loss -0.5726 | Accuracy 0.7240 | ETputs(KTEPS) 3447.14
Epoch 00043 | Time(s) 0.0038 | Loss -0.5727 | Accuracy 0.7120 | ETputs(KTEPS) 3447.05
Epoch 00044 | Time(s) 0.0038 | Loss 1.9092 | Accuracy 0.7280 | ETputs(KTEPS) 3450.61
Epoch 00045 | Time(s) 0.0038 | Loss -0.5711 | Accuracy 0.7280 | ETputs(KTEPS) 3449.21
Epoch 00046 | Time(s) 0.0038 | Loss 1.9043 | Accuracy 0.7320 | ETputs(KTEPS) 3450.27
Epoch 00047 | Time(s) 0.0038 | Loss -0.5699 | Accuracy 0.7360 | ETputs(KTEPS) 3448.89
Epoch 00048 | Time(s) 0.0038 | Loss 1.8984 | Accuracy 0.7440 | ETputs(KTEPS) 3448.15
Epoch 00049 | Time(s) 0.0038 | Loss -0.5661 | Accuracy 0.7480 | ETputs(KTEPS) 3447.25
accept_rate 0.9968
new_distr_dictionary 441 441
Epoch 00050 | Time(s) 0.0039 | Loss 1.8879 | Accuracy 0.7540 | ETputs(KTEPS) 3442.10
Epoch 00051 | Time(s) 0.0039 | Loss -0.5670 | Accuracy 0.7300 | ETputs(KTEPS) 3438.13
Epoch 00052 | Time(s) 0.0039 | Loss 1.8804 | Accuracy 0.7240 | ETputs(KTEPS) 3434.13
Epoch 00053 | Time(s) 0.0039 | Loss 1.8740 | Accuracy 0.7480 | ETputs(KTEPS) 3430.68
Epoch 00054 | Time(s) 0.0039 | Loss 1.8745 | Accuracy 0.7380 | ETputs(KTEPS) 3426.50
Epoch 00055 | Time(s) 0.0039 | Loss 1.8650 | Accuracy 0.7320 | ETputs(KTEPS) 3424.31
Epoch 00056 | Time(s) 0.0039 | Loss -0.5551 | Accuracy 0.7240 | ETputs(KTEPS) 3422.49
Epoch 00057 | Time(s) 0.0039 | Loss 1.8501 | Accuracy 0.7240 | ETputs(KTEPS) 3420.93
Epoch 00058 | Time(s) 0.0039 | Loss -0.5506 | Accuracy 0.7320 | ETputs(KTEPS) 3419.55
Epoch 00059 | Time(s) 0.0039 | Loss 1.8281 | Accuracy 0.7380 | ETputs(KTEPS) 3417.57
accept_rate 0.9933333333333333
new_distr_dictionary 441 441
Epoch 00060 | Time(s) 0.0039 | Loss -0.5462 | Accuracy 0.7440 | ETputs(KTEPS) 3412.77
Epoch 00061 | Time(s) 0.0039 | Loss 1.8120 | Accuracy 0.7440 | ETputs(KTEPS) 3411.04
Epoch 00062 | Time(s) 0.0039 | Loss 1.7969 | Accuracy 0.7440 | ETputs(KTEPS) 3409.34
Epoch 00063 | Time(s) 0.0039 | Loss 1.7859 | Accuracy 0.7300 | ETputs(KTEPS) 3406.33
Epoch 00064 | Time(s) 0.0039 | Loss 1.7751 | Accuracy 0.7180 | ETputs(KTEPS) 3405.62
Epoch 00065 | Time(s) 0.0039 | Loss 1.7460 | Accuracy 0.6920 | ETputs(KTEPS) 3411.90
Epoch 00066 | Time(s) 0.0039 | Loss -0.5222 | Accuracy 0.6740 | ETputs(KTEPS) 3416.52
Epoch 00067 | Time(s) 0.0039 | Loss -0.5146 | Accuracy 0.6460 | ETputs(KTEPS) 3421.65
Epoch 00068 | Time(s) 0.0039 | Loss -0.5080 | Accuracy 0.6040 | ETputs(KTEPS) 3424.36
Epoch 00069 | Time(s) 0.0039 | Loss 1.7070 | Accuracy 0.6440 | ETputs(KTEPS) 3429.06
accept_rate 0.9855333333333334
new_distr_dictionary 441 441
Epoch 00070 | Time(s) 0.0039 | Loss 1.6895 | Accuracy 0.6960 | ETputs(KTEPS) 3432.85
Epoch 00071 | Time(s) 0.0039 | Loss -0.5042 | Accuracy 0.7280 | ETputs(KTEPS) 3438.36
Epoch 00072 | Time(s) 0.0039 | Loss 1.6765 | Accuracy 0.7540 | ETputs(KTEPS) 3443.10
Epoch 00073 | Time(s) 0.0038 | Loss 1.6148 | Accuracy 0.7580 | ETputs(KTEPS) 3446.89
Epoch 00074 | Time(s) 0.0038 | Loss -0.4934 | Accuracy 0.7640 | ETputs(KTEPS) 3451.36
Epoch 00075 | Time(s) 0.0038 | Loss 1.6293 | Accuracy 0.7820 | ETputs(KTEPS) 3455.82
Epoch 00076 | Time(s) 0.0038 | Loss -0.4786 | Accuracy 0.7840 | ETputs(KTEPS) 3458.83
Epoch 00077 | Time(s) 0.0038 | Loss -0.4769 | Accuracy 0.7560 | ETputs(KTEPS) 3463.10
Epoch 00078 | Time(s) 0.0038 | Loss 1.5708 | Accuracy 0.7700 | ETputs(KTEPS) 3466.82
Epoch 00079 | Time(s) 0.0038 | Loss 1.5815 | Accuracy 0.7700 | ETputs(KTEPS) 3471.91
accept_rate 0.9722
new_distr_dictionary 441 441
Epoch 00080 | Time(s) 0.0038 | Loss 1.5612 | Accuracy 0.7680 | ETputs(KTEPS) 3474.83
Epoch 00081 | Time(s) 0.0038 | Loss 1.5454 | Accuracy 0.7640 | ETputs(KTEPS) 3479.61
Epoch 00082 | Time(s) 0.0038 | Loss 1.5123 | Accuracy 0.7620 | ETputs(KTEPS) 3483.94
Epoch 00083 | Time(s) 0.0038 | Loss -0.4457 | Accuracy 0.7520 | ETputs(KTEPS) 3487.80
Epoch 00084 | Time(s) 0.0038 | Loss 1.4851 | Accuracy 0.7640 | ETputs(KTEPS) 3492.24
Epoch 00085 | Time(s) 0.0038 | Loss 1.4262 | Accuracy 0.7680 | ETputs(KTEPS) 3496.21
Epoch 00086 | Time(s) 0.0038 | Loss -0.4297 | Accuracy 0.7640 | ETputs(KTEPS) 3498.03
Epoch 00087 | Time(s) 0.0038 | Loss 1.3981 | Accuracy 0.7640 | ETputs(KTEPS) 3500.56
Epoch 00088 | Time(s) 0.0038 | Loss 1.3702 | Accuracy 0.7660 | ETputs(KTEPS) 3503.80
Epoch 00089 | Time(s) 0.0038 | Loss -0.4113 | Accuracy 0.7740 | ETputs(KTEPS) 3506.60
accept_rate 0.9564
new_distr_dictionary 441 441
Epoch 00090 | Time(s) 0.0038 | Loss -0.3879 | Accuracy 0.7820 | ETputs(KTEPS) 3509.31
Epoch 00091 | Time(s) 0.0038 | Loss 1.2820 | Accuracy 0.7760 | ETputs(KTEPS) 3512.38
Epoch 00092 | Time(s) 0.0038 | Loss 1.3179 | Accuracy 0.7780 | ETputs(KTEPS) 3513.99
Epoch 00093 | Time(s) 0.0038 | Loss -0.3745 | Accuracy 0.7700 | ETputs(KTEPS) 3516.38
Epoch 00094 | Time(s) 0.0038 | Loss 1.3063 | Accuracy 0.7600 | ETputs(KTEPS) 3518.55
Epoch 00095 | Time(s) 0.0038 | Loss -0.3805 | Accuracy 0.7600 | ETputs(KTEPS) 3522.25
Epoch 00096 | Time(s) 0.0038 | Loss 1.2555 | Accuracy 0.7500 | ETputs(KTEPS) 3525.48
Epoch 00097 | Time(s) 0.0038 | Loss 1.2690 | Accuracy 0.7620 | ETputs(KTEPS) 3528.84
Epoch 00098 | Time(s) 0.0038 | Loss 1.2206 | Accuracy 0.7720 | ETputs(KTEPS) 3530.84
Epoch 00099 | Time(s) 0.0038 | Loss 1.2265 | Accuracy 0.7820 | ETputs(KTEPS) 3534.12
accept_rate 0.9414
new_distr_dictionary 441 441
Epoch 00100 | Time(s) 0.0038 | Loss 1.1538 | Accuracy 0.7880 | ETputs(KTEPS) 3535.68
Epoch 00101 | Time(s) 0.0037 | Loss -0.3362 | Accuracy 0.7940 | ETputs(KTEPS) 3537.56
Epoch 00102 | Time(s) 0.0037 | Loss -0.3270 | Accuracy 0.7860 | ETputs(KTEPS) 3539.06
Epoch 00103 | Time(s) 0.0037 | Loss -0.3267 | Accuracy 0.7840 | ETputs(KTEPS) 3540.33
Epoch 00104 | Time(s) 0.0037 | Loss 1.0774 | Accuracy 0.7840 | ETputs(KTEPS) 3542.37
Epoch 00105 | Time(s) 0.0038 | Loss 1.1172 | Accuracy 0.7880 | ETputs(KTEPS) 3525.19
Epoch 00106 | Time(s) 0.0038 | Loss 1.0893 | Accuracy 0.7940 | ETputs(KTEPS) 3528.39
Epoch 00107 | Time(s) 0.0038 | Loss -0.3178 | Accuracy 0.7720 | ETputs(KTEPS) 3530.39
Epoch 00108 | Time(s) 0.0038 | Loss -0.3040 | Accuracy 0.7640 | ETputs(KTEPS) 3531.95
Epoch 00109 | Time(s) 0.0038 | Loss 1.0958 | Accuracy 0.7460 | ETputs(KTEPS) 3534.65
accept_rate 0.9328
new_distr_dictionary 441 441
Epoch 00110 | Time(s) 0.0038 | Loss -0.3060 | Accuracy 0.7220 | ETputs(KTEPS) 3535.32
Epoch 00111 | Time(s) 0.0038 | Loss -0.3050 | Accuracy 0.6680 | ETputs(KTEPS) 3536.74
Epoch 00112 | Time(s) 0.0037 | Loss 1.0280 | Accuracy 0.6840 | ETputs(KTEPS) 3538.76
Epoch 00113 | Time(s) 0.0037 | Loss 1.0595 | Accuracy 0.7400 | ETputs(KTEPS) 3540.35
Epoch 00114 | Time(s) 0.0037 | Loss -0.2997 | Accuracy 0.7540 | ETputs(KTEPS) 3542.79
Epoch 00115 | Time(s) 0.0037 | Loss 0.9984 | Accuracy 0.7720 | ETputs(KTEPS) 3545.14
Epoch 00116 | Time(s) 0.0037 | Loss -0.2882 | Accuracy 0.7800 | ETputs(KTEPS) 3546.98
Epoch 00117 | Time(s) 0.0037 | Loss 0.9744 | Accuracy 0.7820 | ETputs(KTEPS) 3548.20
Epoch 00118 | Time(s) 0.0037 | Loss 0.9930 | Accuracy 0.7920 | ETputs(KTEPS) 3549.66
Epoch 00119 | Time(s) 0.0037 | Loss 0.9252 | Accuracy 0.8000 | ETputs(KTEPS) 3550.32
accept_rate 0.913
new_distr_dictionary 441 441
Epoch 00120 | Time(s) 0.0037 | Loss -0.2828 | Accuracy 0.7980 | ETputs(KTEPS) 3552.00
Epoch 00121 | Time(s) 0.0037 | Loss 0.9575 | Accuracy 0.7960 | ETputs(KTEPS) 3553.22
Epoch 00122 | Time(s) 0.0037 | Loss -0.2850 | Accuracy 0.7920 | ETputs(KTEPS) 3554.13
Epoch 00123 | Time(s) 0.0037 | Loss -0.2941 | Accuracy 0.7900 | ETputs(KTEPS) 3556.50
Epoch 00124 | Time(s) 0.0037 | Loss -0.2732 | Accuracy 0.7900 | ETputs(KTEPS) 3558.19
Epoch 00125 | Time(s) 0.0037 | Loss 0.9045 | Accuracy 0.7900 | ETputs(KTEPS) 3560.56
Epoch 00126 | Time(s) 0.0037 | Loss 0.9090 | Accuracy 0.7860 | ETputs(KTEPS) 3566.49
Epoch 00127 | Time(s) 0.0037 | Loss 0.9075 | Accuracy 0.7820 | ETputs(KTEPS) 3570.18
Epoch 00128 | Time(s) 0.0037 | Loss -0.2677 | Accuracy 0.7860 | ETputs(KTEPS) 3560.51
Epoch 00129 | Time(s) 0.0037 | Loss 0.9197 | Accuracy 0.7880 | ETputs(KTEPS) 3565.53
accept_rate 0.9027333333333334
new_distr_dictionary 441 441
Epoch 00130 | Time(s) 0.0037 | Loss 0.8866 | Accuracy 0.7880 | ETputs(KTEPS) 3566.46
Epoch 00131 | Time(s) 0.0037 | Loss -0.2836 | Accuracy 0.7820 | ETputs(KTEPS) 3567.15
Epoch 00132 | Time(s) 0.0037 | Loss 0.8995 | Accuracy 0.7820 | ETputs(KTEPS) 3568.43
Epoch 00133 | Time(s) 0.0037 | Loss 0.8514 | Accuracy 0.7840 | ETputs(KTEPS) 3570.58
Epoch 00134 | Time(s) 0.0037 | Loss 0.8882 | Accuracy 0.7940 | ETputs(KTEPS) 3573.59
Epoch 00135 | Time(s) 0.0037 | Loss -0.2666 | Accuracy 0.7980 | ETputs(KTEPS) 3575.06
Epoch 00136 | Time(s) 0.0037 | Loss 0.8477 | Accuracy 0.8040 | ETputs(KTEPS) 3577.60
Epoch 00137 | Time(s) 0.0037 | Loss -0.2494 | Accuracy 0.8020 | ETputs(KTEPS) 3579.05
Epoch 00138 | Time(s) 0.0037 | Loss 0.8545 | Accuracy 0.8020 | ETputs(KTEPS) 3581.10
Epoch 00139 | Time(s) 0.0037 | Loss -0.2511 | Accuracy 0.8040 | ETputs(KTEPS) 3583.41
accept_rate 0.8866666666666667
new_distr_dictionary 441 441
Epoch 00140 | Time(s) 0.0037 | Loss 0.8534 | Accuracy 0.8060 | ETputs(KTEPS) 3584.33
Epoch 00141 | Time(s) 0.0037 | Loss -0.2614 | Accuracy 0.8000 | ETputs(KTEPS) 3584.48
Epoch 00142 | Time(s) 0.0037 | Loss -0.2500 | Accuracy 0.7980 | ETputs(KTEPS) 3586.05
Epoch 00143 | Time(s) 0.0037 | Loss 0.8443 | Accuracy 0.7980 | ETputs(KTEPS) 3573.89
Epoch 00144 | Time(s) 0.0037 | Loss -0.2397 | Accuracy 0.8000 | ETputs(KTEPS) 3575.34
Epoch 00145 | Time(s) 0.0037 | Loss -0.2297 | Accuracy 0.7840 | ETputs(KTEPS) 3577.36
Epoch 00146 | Time(s) 0.0037 | Loss 0.8639 | Accuracy 0.7920 | ETputs(KTEPS) 3579.98
Epoch 00147 | Time(s) 0.0037 | Loss 0.8011 | Accuracy 0.7980 | ETputs(KTEPS) 3581.40
Epoch 00148 | Time(s) 0.0037 | Loss 0.7569 | Accuracy 0.8040 | ETputs(KTEPS) 3583.41
Epoch 00149 | Time(s) 0.0037 | Loss 0.7669 | Accuracy 0.8060 | ETputs(KTEPS) 3585.98
accept_rate 0.8838666666666667
new_distr_dictionary 441 441
Epoch 00150 | Time(s) 0.0037 | Loss -0.2395 | Accuracy 0.8100 | ETputs(KTEPS) 3586.44
Epoch 00151 | Time(s) 0.0037 | Loss -0.2373 | Accuracy 0.8000 | ETputs(KTEPS) 3587.10
Epoch 00152 | Time(s) 0.0037 | Loss -0.2494 | Accuracy 0.8040 | ETputs(KTEPS) 3588.99
Epoch 00153 | Time(s) 0.0037 | Loss -0.2333 | Accuracy 0.7800 | ETputs(KTEPS) 3591.17
Epoch 00154 | Time(s) 0.0037 | Loss -0.2317 | Accuracy 0.7620 | ETputs(KTEPS) 3592.96
Epoch 00155 | Time(s) 0.0037 | Loss -0.2815 | Accuracy 0.7220 | ETputs(KTEPS) 3594.82
Epoch 00156 | Time(s) 0.0037 | Loss -0.2971 | Accuracy 0.6460 | ETputs(KTEPS) 3595.76
Epoch 00157 | Time(s) 0.0037 | Loss -0.3049 | Accuracy 0.6160 | ETputs(KTEPS) 3596.92
Epoch 00158 | Time(s) 0.0037 | Loss 1.0728 | Accuracy 0.6160 | ETputs(KTEPS) 3599.20
Epoch 00159 | Time(s) 0.0037 | Loss -0.3281 | Accuracy 0.6120 | ETputs(KTEPS) 3600.88
accept_rate 0.8634
new_distr_dictionary 441 441
Epoch 00160 | Time(s) 0.0037 | Loss -0.3677 | Accuracy 0.6100 | ETputs(KTEPS) 3587.39
Epoch 00161 | Time(s) 0.0037 | Loss -0.3707 | Accuracy 0.5900 | ETputs(KTEPS) 3588.68
Epoch 00162 | Time(s) 0.0037 | Loss 1.3228 | Accuracy 0.6060 | ETputs(KTEPS) 3590.73
Epoch 00163 | Time(s) 0.0037 | Loss 1.2160 | Accuracy 0.6160 | ETputs(KTEPS) 3592.99
Epoch 00164 | Time(s) 0.0037 | Loss 1.2830 | Accuracy 0.6540 | ETputs(KTEPS) 3595.39
Epoch 00165 | Time(s) 0.0037 | Loss -0.3165 | Accuracy 0.7320 | ETputs(KTEPS) 3597.02
Epoch 00166 | Time(s) 0.0037 | Loss 1.0424 | Accuracy 0.7560 | ETputs(KTEPS) 3598.40
Epoch 00167 | Time(s) 0.0037 | Loss -0.2841 | Accuracy 0.7320 | ETputs(KTEPS) 3586.65
Epoch 00168 | Time(s) 0.0037 | Loss 0.9238 | Accuracy 0.7080 | ETputs(KTEPS) 3588.85
Epoch 00169 | Time(s) 0.0037 | Loss -0.2779 | Accuracy 0.6460 | ETputs(KTEPS) 3590.74
accept_rate 0.8748666666666667
new_distr_dictionary 441 441
Epoch 00170 | Time(s) 0.0037 | Loss 0.9227 | Accuracy 0.6420 | ETputs(KTEPS) 3591.83
Epoch 00171 | Time(s) 0.0037 | Loss 0.9085 | Accuracy 0.6820 | ETputs(KTEPS) 3593.64
Epoch 00172 | Time(s) 0.0037 | Loss -0.2740 | Accuracy 0.6560 | ETputs(KTEPS) 3595.62
Epoch 00173 | Time(s) 0.0037 | Loss 0.9307 | Accuracy 0.6440 | ETputs(KTEPS) 3596.54
Epoch 00174 | Time(s) 0.0037 | Loss -0.2845 | Accuracy 0.5960 | ETputs(KTEPS) 3598.56
Epoch 00175 | Time(s) 0.0037 | Loss -0.2789 | Accuracy 0.5420 | ETputs(KTEPS) 3599.81
Epoch 00176 | Time(s) 0.0037 | Loss 0.9851 | Accuracy 0.5600 | ETputs(KTEPS) 3601.75
Epoch 00177 | Time(s) 0.0037 | Loss 0.9595 | Accuracy 0.6320 | ETputs(KTEPS) 3603.61
Epoch 00178 | Time(s) 0.0037 | Loss 0.9175 | Accuracy 0.7100 | ETputs(KTEPS) 3605.41
Epoch 00179 | Time(s) 0.0037 | Loss -0.2868 | Accuracy 0.7620 | ETputs(KTEPS) 3606.52
accept_rate 0.8644
new_distr_dictionary 441 441
Epoch 00180 | Time(s) 0.0037 | Loss -0.2491 | Accuracy 0.7860 | ETputs(KTEPS) 3606.95
Epoch 00181 | Time(s) 0.0037 | Loss 0.8534 | Accuracy 0.8000 | ETputs(KTEPS) 3608.67
Epoch 00182 | Time(s) 0.0037 | Loss 0.8986 | Accuracy 0.7980 | ETputs(KTEPS) 3610.35
Epoch 00183 | Time(s) 0.0037 | Loss 0.8194 | Accuracy 0.7960 | ETputs(KTEPS) 3611.92
Epoch 00184 | Time(s) 0.0037 | Loss -0.2475 | Accuracy 0.7880 | ETputs(KTEPS) 3613.33
Epoch 00185 | Time(s) 0.0037 | Loss 0.7744 | Accuracy 0.7940 | ETputs(KTEPS) 3615.04
Epoch 00186 | Time(s) 0.0037 | Loss -0.2431 | Accuracy 0.7940 | ETputs(KTEPS) 3615.98
Epoch 00187 | Time(s) 0.0037 | Loss 0.7889 | Accuracy 0.7880 | ETputs(KTEPS) 3618.16
Epoch 00188 | Time(s) 0.0037 | Loss 0.8774 | Accuracy 0.7980 | ETputs(KTEPS) 3619.76
Epoch 00189 | Time(s) 0.0037 | Loss 0.8343 | Accuracy 0.7960 | ETputs(KTEPS) 3621.22
accept_rate 0.8538
new_distr_dictionary 441 441
Epoch 00190 | Time(s) 0.0037 | Loss 0.7582 | Accuracy 0.8080 | ETputs(KTEPS) 3621.49
Epoch 00191 | Time(s) 0.0037 | Loss -0.2262 | Accuracy 0.8080 | ETputs(KTEPS) 3621.58
Epoch 00192 | Time(s) 0.0037 | Loss 0.7839 | Accuracy 0.8120 | ETputs(KTEPS) 3620.80
Epoch 00193 | Time(s) 0.0037 | Loss 0.7671 | Accuracy 0.8200 | ETputs(KTEPS) 3619.82
Epoch 00194 | Time(s) 0.0037 | Loss 0.7788 | Accuracy 0.8240 | ETputs(KTEPS) 3618.68
Epoch 00195 | Time(s) 0.0037 | Loss 0.7928 | Accuracy 0.8100 | ETputs(KTEPS) 3617.16
Epoch 00196 | Time(s) 0.0037 | Loss 0.6955 | Accuracy 0.8040 | ETputs(KTEPS) 3616.44
Epoch 00197 | Time(s) 0.0037 | Loss -0.2005 | Accuracy 0.7980 | ETputs(KTEPS) 3615.86
Epoch 00198 | Time(s) 0.0037 | Loss -0.2095 | Accuracy 0.7960 | ETputs(KTEPS) 3615.13
Epoch 00199 | Time(s) 0.0037 | Loss -0.2097 | Accuracy 0.7820 | ETputs(KTEPS) 3614.28
accept_rate 0.8352666666666667
new_distr_dictionary 441 441
Epoch 00200 | Time(s) 0.0037 | Loss -0.2254 | Accuracy 0.7680 | ETputs(KTEPS) 3612.47
Epoch 00201 | Time(s) 0.0037 | Loss 0.7076 | Accuracy 0.7620 | ETputs(KTEPS) 3612.56
Epoch 00202 | Time(s) 0.0037 | Loss -0.2190 | Accuracy 0.7520 | ETputs(KTEPS) 3611.33
Epoch 00203 | Time(s) 0.0037 | Loss 0.7032 | Accuracy 0.7520 | ETputs(KTEPS) 3611.53
Epoch 00204 | Time(s) 0.0037 | Loss 0.7071 | Accuracy 0.7580 | ETputs(KTEPS) 3603.66
Epoch 00205 | Time(s) 0.0037 | Loss 0.7312 | Accuracy 0.7700 | ETputs(KTEPS) 3603.47
Epoch 00206 | Time(s) 0.0037 | Loss -0.2264 | Accuracy 0.7740 | ETputs(KTEPS) 3602.56
Epoch 00207 | Time(s) 0.0037 | Loss 0.7265 | Accuracy 0.7880 | ETputs(KTEPS) 3600.34
Epoch 00208 | Time(s) 0.0037 | Loss 0.6730 | Accuracy 0.7880 | ETputs(KTEPS) 3593.87
Epoch 00209 | Time(s) 0.0037 | Loss -0.2005 | Accuracy 0.7880 | ETputs(KTEPS) 3593.19
accept_rate 0.8304666666666667
new_distr_dictionary 441 441
Epoch 00210 | Time(s) 0.0037 | Loss 0.6790 | Accuracy 0.7860 | ETputs(KTEPS) 3592.37
Epoch 00211 | Time(s) 0.0037 | Loss 0.6146 | Accuracy 0.7820 | ETputs(KTEPS) 3592.32
Epoch 00212 | Time(s) 0.0037 | Loss 0.6839 | Accuracy 0.7820 | ETputs(KTEPS) 3592.24
Epoch 00213 | Time(s) 0.0037 | Loss 0.6633 | Accuracy 0.7840 | ETputs(KTEPS) 3592.27
Epoch 00214 | Time(s) 0.0037 | Loss 0.6544 | Accuracy 0.7860 | ETputs(KTEPS) 3592.37
Epoch 00215 | Time(s) 0.0037 | Loss -0.1910 | Accuracy 0.7920 | ETputs(KTEPS) 3591.97
Epoch 00216 | Time(s) 0.0037 | Loss -0.1950 | Accuracy 0.7920 | ETputs(KTEPS) 3591.71
Epoch 00217 | Time(s) 0.0037 | Loss 0.6520 | Accuracy 0.8000 | ETputs(KTEPS) 3591.25
Epoch 00218 | Time(s) 0.0037 | Loss 0.6322 | Accuracy 0.8000 | ETputs(KTEPS) 3591.23
Epoch 00219 | Time(s) 0.0037 | Loss 0.6168 | Accuracy 0.8000 | ETputs(KTEPS) 3591.20
accept_rate 0.8304666666666667
new_distr_dictionary 441 441
Epoch 00220 | Time(s) 0.0037 | Loss -0.1841 | Accuracy 0.8080 | ETputs(KTEPS) 3589.27
Epoch 00221 | Time(s) 0.0037 | Loss 0.6839 | Accuracy 0.8080 | ETputs(KTEPS) 3588.72
Epoch 00222 | Time(s) 0.0037 | Loss 0.6293 | Accuracy 0.7960 | ETputs(KTEPS) 3587.84
Epoch 00223 | Time(s) 0.0037 | Loss -0.1865 | Accuracy 0.7960 | ETputs(KTEPS) 3586.74
Epoch 00224 | Time(s) 0.0037 | Loss -0.1746 | Accuracy 0.7900 | ETputs(KTEPS) 3585.41
Epoch 00225 | Time(s) 0.0037 | Loss -0.1859 | Accuracy 0.7880 | ETputs(KTEPS) 3583.80
Epoch 00226 | Time(s) 0.0037 | Loss 0.6500 | Accuracy 0.7900 | ETputs(KTEPS) 3582.98
Epoch 00227 | Time(s) 0.0037 | Loss 0.6159 | Accuracy 0.7900 | ETputs(KTEPS) 3581.89
Epoch 00228 | Time(s) 0.0037 | Loss 0.6675 | Accuracy 0.7940 | ETputs(KTEPS) 3581.47
Epoch 00229 | Time(s) 0.0037 | Loss -0.2071 | Accuracy 0.7960 | ETputs(KTEPS) 3580.45
accept_rate 0.8096
new_distr_dictionary 441 441
Epoch 00230 | Time(s) 0.0037 | Loss -0.1785 | Accuracy 0.7940 | ETputs(KTEPS) 3571.77
Epoch 00231 | Time(s) 0.0037 | Loss 0.6231 | Accuracy 0.7940 | ETputs(KTEPS) 3570.16
Epoch 00232 | Time(s) 0.0037 | Loss -0.1975 | Accuracy 0.8000 | ETputs(KTEPS) 3568.87
Epoch 00233 | Time(s) 0.0037 | Loss 0.6195 | Accuracy 0.7980 | ETputs(KTEPS) 3568.54
Epoch 00234 | Time(s) 0.0037 | Loss 0.6558 | Accuracy 0.7940 | ETputs(KTEPS) 3567.79
Epoch 00235 | Time(s) 0.0037 | Loss 0.5958 | Accuracy 0.7940 | ETputs(KTEPS) 3567.02
Epoch 00236 | Time(s) 0.0037 | Loss 0.6381 | Accuracy 0.7900 | ETputs(KTEPS) 3565.94
Epoch 00237 | Time(s) 0.0037 | Loss 0.6255 | Accuracy 0.7960 | ETputs(KTEPS) 3557.68
Epoch 00238 | Time(s) 0.0037 | Loss -0.1790 | Accuracy 0.7980 | ETputs(KTEPS) 3557.04
Epoch 00239 | Time(s) 0.0037 | Loss 0.6039 | Accuracy 0.7980 | ETputs(KTEPS) 3556.46
accept_rate 0.808
new_distr_dictionary 440 441
Epoch 00240 | Time(s) 0.0037 | Loss 0.6084 | Accuracy 0.8000 | ETputs(KTEPS) 3555.07
Epoch 00241 | Time(s) 0.0037 | Loss 0.5914 | Accuracy 0.7960 | ETputs(KTEPS) 3553.85
Epoch 00242 | Time(s) 0.0037 | Loss 0.6183 | Accuracy 0.7980 | ETputs(KTEPS) 3553.63
Epoch 00243 | Time(s) 0.0037 | Loss 0.5399 | Accuracy 0.7920 | ETputs(KTEPS) 3552.99
Epoch 00244 | Time(s) 0.0037 | Loss 0.6037 | Accuracy 0.7860 | ETputs(KTEPS) 3552.08
Epoch 00245 | Time(s) 0.0037 | Loss 0.5445 | Accuracy 0.7840 | ETputs(KTEPS) 3551.96
Epoch 00246 | Time(s) 0.0037 | Loss 0.6451 | Accuracy 0.7840 | ETputs(KTEPS) 3551.43
Epoch 00247 | Time(s) 0.0037 | Loss 0.5473 | Accuracy 0.7860 | ETputs(KTEPS) 3550.36
Epoch 00248 | Time(s) 0.0037 | Loss 0.5509 | Accuracy 0.7840 | ETputs(KTEPS) 3549.51
Epoch 00249 | Time(s) 0.0037 | Loss 0.5537 | Accuracy 0.7880 | ETputs(KTEPS) 3549.44
accept_rate 0.7837333333333333
new_distr_dictionary 441 441
Epoch 00250 | Time(s) 0.0037 | Loss 0.5100 | Accuracy 0.7880 | ETputs(KTEPS) 3537.67
Epoch 00251 | Time(s) 0.0038 | Loss 0.4911 | Accuracy 0.7920 | ETputs(KTEPS) 3536.97
Epoch 00252 | Time(s) 0.0038 | Loss -0.1727 | Accuracy 0.7940 | ETputs(KTEPS) 3535.74
Epoch 00253 | Time(s) 0.0038 | Loss 0.4695 | Accuracy 0.8000 | ETputs(KTEPS) 3535.58
Epoch 00254 | Time(s) 0.0038 | Loss -0.1397 | Accuracy 0.8000 | ETputs(KTEPS) 3535.18
Epoch 00255 | Time(s) 0.0038 | Loss 0.5413 | Accuracy 0.8020 | ETputs(KTEPS) 3534.62
Epoch 00256 | Time(s) 0.0038 | Loss -0.1746 | Accuracy 0.8080 | ETputs(KTEPS) 3534.29
Epoch 00257 | Time(s) 0.0038 | Loss -0.1655 | Accuracy 0.8180 | ETputs(KTEPS) 3533.49
Epoch 00258 | Time(s) 0.0038 | Loss 0.5387 | Accuracy 0.8180 | ETputs(KTEPS) 3533.22
Epoch 00259 | Time(s) 0.0038 | Loss -0.1524 | Accuracy 0.8140 | ETputs(KTEPS) 3532.85
accept_rate 0.7679333333333334
new_distr_dictionary 441 441
Epoch 00260 | Time(s) 0.0038 | Loss -0.1728 | Accuracy 0.8160 | ETputs(KTEPS) 3531.22
Epoch 00261 | Time(s) 0.0038 | Loss -0.1540 | Accuracy 0.8200 | ETputs(KTEPS) 3530.44
Epoch 00262 | Time(s) 0.0038 | Loss 0.5550 | Accuracy 0.8160 | ETputs(KTEPS) 3529.83
Epoch 00263 | Time(s) 0.0038 | Loss 0.5108 | Accuracy 0.8160 | ETputs(KTEPS) 3528.90
Epoch 00264 | Time(s) 0.0038 | Loss 0.5542 | Accuracy 0.8080 | ETputs(KTEPS) 3528.53
Epoch 00265 | Time(s) 0.0038 | Loss 0.5032 | Accuracy 0.8040 | ETputs(KTEPS) 3527.77
Epoch 00266 | Time(s) 0.0038 | Loss -0.1620 | Accuracy 0.8000 | ETputs(KTEPS) 3527.27
Epoch 00267 | Time(s) 0.0038 | Loss 0.5535 | Accuracy 0.7980 | ETputs(KTEPS) 3526.57
Epoch 00268 | Time(s) 0.0038 | Loss -0.1618 | Accuracy 0.7940 | ETputs(KTEPS) 3525.99
Epoch 00269 | Time(s) 0.0038 | Loss 0.5271 | Accuracy 0.7920 | ETputs(KTEPS) 3525.25
accept_rate 0.7752666666666667
new_distr_dictionary 441 441
Epoch 00270 | Time(s) 0.0038 | Loss 0.5340 | Accuracy 0.7940 | ETputs(KTEPS) 3524.08
Epoch 00271 | Time(s) 0.0038 | Loss 0.5591 | Accuracy 0.7960 | ETputs(KTEPS) 3523.51
Epoch 00272 | Time(s) 0.0038 | Loss -0.1630 | Accuracy 0.7920 | ETputs(KTEPS) 3523.55
Epoch 00273 | Time(s) 0.0038 | Loss -0.1506 | Accuracy 0.7880 | ETputs(KTEPS) 3522.33
Epoch 00274 | Time(s) 0.0038 | Loss 0.5585 | Accuracy 0.7880 | ETputs(KTEPS) 3521.96
Epoch 00275 | Time(s) 0.0038 | Loss -0.1662 | Accuracy 0.7920 | ETputs(KTEPS) 3521.80
Epoch 00276 | Time(s) 0.0038 | Loss -0.1763 | Accuracy 0.7940 | ETputs(KTEPS) 3521.21
Epoch 00277 | Time(s) 0.0038 | Loss 0.5812 | Accuracy 0.7960 | ETputs(KTEPS) 3521.55
Epoch 00278 | Time(s) 0.0038 | Loss 0.5600 | Accuracy 0.7980 | ETputs(KTEPS) 3522.06
Epoch 00279 | Time(s) 0.0038 | Loss -0.1569 | Accuracy 0.8020 | ETputs(KTEPS) 3522.27
accept_rate 0.7642666666666666
new_distr_dictionary 440 441
Epoch 00280 | Time(s) 0.0038 | Loss 0.5317 | Accuracy 0.7980 | ETputs(KTEPS) 3521.32
Epoch 00281 | Time(s) 0.0038 | Loss -0.1716 | Accuracy 0.8040 | ETputs(KTEPS) 3521.14
Epoch 00282 | Time(s) 0.0038 | Loss -0.1593 | Accuracy 0.8040 | ETputs(KTEPS) 3521.23
Epoch 00283 | Time(s) 0.0038 | Loss -0.1513 | Accuracy 0.8060 | ETputs(KTEPS) 3520.99
Epoch 00284 | Time(s) 0.0038 | Loss -0.1768 | Accuracy 0.8060 | ETputs(KTEPS) 3520.74
Epoch 00285 | Time(s) 0.0038 | Loss 0.6292 | Accuracy 0.8080 | ETputs(KTEPS) 3520.40
Epoch 00286 | Time(s) 0.0038 | Loss -0.1669 | Accuracy 0.8040 | ETputs(KTEPS) 3520.80
Epoch 00287 | Time(s) 0.0038 | Loss -0.1628 | Accuracy 0.8060 | ETputs(KTEPS) 3515.56
Epoch 00288 | Time(s) 0.0038 | Loss 0.5634 | Accuracy 0.8060 | ETputs(KTEPS) 3515.57
Epoch 00289 | Time(s) 0.0038 | Loss -0.1794 | Accuracy 0.8040 | ETputs(KTEPS) 3515.56
accept_rate 0.7557333333333334
new_distr_dictionary 440 441
Epoch 00290 | Time(s) 0.0038 | Loss 0.6556 | Accuracy 0.7980 | ETputs(KTEPS) 3514.90
Epoch 00291 | Time(s) 0.0038 | Loss -0.1990 | Accuracy 0.7940 | ETputs(KTEPS) 3514.92
Epoch 00292 | Time(s) 0.0038 | Loss 0.6261 | Accuracy 0.7960 | ETputs(KTEPS) 3515.45
Epoch 00293 | Time(s) 0.0038 | Loss -0.1906 | Accuracy 0.7920 | ETputs(KTEPS) 3515.78
Epoch 00294 | Time(s) 0.0038 | Loss 0.6531 | Accuracy 0.7880 | ETputs(KTEPS) 3516.49
Test accuracy 84.20%
NumNodes: 2708
NumEdges: 10556
NumFeats: 1433
NumClasses: 7
NumTrainingSamples: 140
NumValidationSamples: 500
NumTestSamples: 1000
Done loading data from cached files.
standard split
The training set index for class 0 is [52, 501, 580, 910, 925, 1002, 1209, 1372, 1794, 1795, 1826, 1852, 2001, 2004, 2013, 2020, 2068, 2223, 2569, 2658]
The training set index for class 1 is [432, 468, 479, 741, 859, 866, 1162, 1308, 1327, 1337, 1343, 1587, 1921, 1938, 1939, 1941, 2029, 2141, 2208, 2209]
The training set index for class 2 is [417, 419, 429, 452, 736, 760, 776, 812, 818, 821, 1410, 1415, 1428, 1454, 1487, 1488, 1516, 1544, 2468, 2469]
The training set index for class 3 is [79, 184, 431, 554, 637, 645, 899, 1049, 1281, 1716, 1793, 1879, 1898, 1924, 2079, 2156, 2224, 2337, 2367, 2543]
The training set index for class 4 is [3, 7, 34, 74, 484, 1819, 2032, 2064, 2160, 2169, 2226, 2232, 2287, 2296, 2445, 2518, 2528, 2669, 2673, 2681]
The training set index for class 5 is [24, 240, 242, 266, 310, 328, 352, 403, 602, 623, 624, 666, 845, 850, 1047, 1101, 1286, 1682, 1683, 1958]
The training set index for class 6 is [65, 67, 69, 70, 72, 130, 138, 140, 168, 186, 346, 542, 575, 592, 1082, 1230, 1754, 1981, 1985, 2401]
train_indices 140
----Data statistics------'
#Edges 10556
#Classes 7
#Train samples 140
#Val samples 500
#Test samples 1000
model GCNv2(
(layers): ModuleList(
(0): GraphConvolution (1433 -> 64)
(1): GraphConvolution (64 -> 7)
)
)
trainable parameters 92231
accept_rate 0.9999333333333333
new_distr_dictionary 441 441
Epoch 00000 | Time(s) nan | Loss 1.9459 | Accuracy 0.2860 | ETputs(KTEPS) nan
Epoch 00001 | Time(s) nan | Loss 1.9364 | Accuracy 0.4140 | ETputs(KTEPS) nan
Epoch 00002 | Time(s) nan | Loss 1.9280 | Accuracy 0.4140 | ETputs(KTEPS) nan
Epoch 00003 | Time(s) 0.0044 | Loss -0.5744 | Accuracy 0.3760 | ETputs(KTEPS) 2990.39
Epoch 00004 | Time(s) 0.0044 | Loss -0.5722 | Accuracy 0.3440 | ETputs(KTEPS) 3013.80
Epoch 00005 | Time(s) 0.0042 | Loss 1.9073 | Accuracy 0.3500 | ETputs(KTEPS) 3160.50
Epoch 00006 | Time(s) 0.0041 | Loss 1.8990 | Accuracy 0.3800 | ETputs(KTEPS) 3247.52
Epoch 00007 | Time(s) 0.0044 | Loss 1.8924 | Accuracy 0.4860 | ETputs(KTEPS) 3044.19
Epoch 00008 | Time(s) 0.0045 | Loss 1.8774 | Accuracy 0.6300 | ETputs(KTEPS) 2936.05
Epoch 00009 | Time(s) 0.0044 | Loss 1.8562 | Accuracy 0.7120 | ETputs(KTEPS) 2998.87
accept_rate 0.9986
new_distr_dictionary 441 441
Epoch 00010 | Time(s) 0.0044 | Loss 1.8397 | Accuracy 0.7340 | ETputs(KTEPS) 3008.40
Epoch 00011 | Time(s) 0.0046 | Loss -0.5480 | Accuracy 0.7360 | ETputs(KTEPS) 2914.82
Epoch 00012 | Time(s) 0.0045 | Loss 1.8127 | Accuracy 0.7500 | ETputs(KTEPS) 2959.48
Epoch 00013 | Time(s) 0.0044 | Loss 1.7930 | Accuracy 0.7520 | ETputs(KTEPS) 2982.26
Epoch 00014 | Time(s) 0.0044 | Loss 1.7797 | Accuracy 0.7680 | ETputs(KTEPS) 3013.83
Epoch 00015 | Time(s) 0.0044 | Loss -0.5274 | Accuracy 0.7760 | ETputs(KTEPS) 3037.83
Epoch 00016 | Time(s) 0.0044 | Loss -0.5218 | Accuracy 0.7780 | ETputs(KTEPS) 3045.80
Epoch 00017 | Time(s) 0.0044 | Loss -0.5157 | Accuracy 0.7720 | ETputs(KTEPS) 2982.88
Epoch 00018 | Time(s) 0.0045 | Loss 1.7233 | Accuracy 0.7680 | ETputs(KTEPS) 2938.67
Epoch 00019 | Time(s) 0.0045 | Loss -0.5069 | Accuracy 0.7480 | ETputs(KTEPS) 2978.38
accept_rate 0.9951333333333333
new_distr_dictionary 441 441
Epoch 00020 | Time(s) 0.0044 | Loss -0.5025 | Accuracy 0.7140 | ETputs(KTEPS) 3012.34
Epoch 00021 | Time(s) 0.0044 | Loss -0.5164 | Accuracy 0.6800 | ETputs(KTEPS) 3043.52
Epoch 00022 | Time(s) 0.0043 | Loss 1.6885 | Accuracy 0.6680 | ETputs(KTEPS) 3077.03
Epoch 00023 | Time(s) 0.0043 | Loss -0.5124 | Accuracy 0.6540 | ETputs(KTEPS) 3103.63
Epoch 00024 | Time(s) 0.0042 | Loss 1.6768 | Accuracy 0.6820 | ETputs(KTEPS) 3131.04
Epoch 00025 | Time(s) 0.0042 | Loss -0.5092 | Accuracy 0.6860 | ETputs(KTEPS) 3151.65
Epoch 00026 | Time(s) 0.0042 | Loss -0.5031 | Accuracy 0.6720 | ETputs(KTEPS) 3171.65
Epoch 00027 | Time(s) 0.0042 | Loss 1.6825 | Accuracy 0.6980 | ETputs(KTEPS) 3193.19
Epoch 00028 | Time(s) 0.0041 | Loss -0.4997 | Accuracy 0.7120 | ETputs(KTEPS) 3211.80
Epoch 00029 | Time(s) 0.0041 | Loss 1.6697 | Accuracy 0.7340 | ETputs(KTEPS) 3228.49
accept_rate 0.991
new_distr_dictionary 441 441
Epoch 00030 | Time(s) 0.0041 | Loss -0.4944 | Accuracy 0.7480 | ETputs(KTEPS) 3243.44
Epoch 00031 | Time(s) 0.0041 | Loss -0.5063 | Accuracy 0.7520 | ETputs(KTEPS) 3258.26
Epoch 00032 | Time(s) 0.0041 | Loss -0.4993 | Accuracy 0.7540 | ETputs(KTEPS) 3271.86
Epoch 00033 | Time(s) 0.0040 | Loss 1.6475 | Accuracy 0.7660 | ETputs(KTEPS) 3287.99
Epoch 00034 | Time(s) 0.0040 | Loss 1.6382 | Accuracy 0.7740 | ETputs(KTEPS) 3302.79
Epoch 00035 | Time(s) 0.0040 | Loss -0.4935 | Accuracy 0.7800 | ETputs(KTEPS) 3314.13
Epoch 00036 | Time(s) 0.0040 | Loss -0.4902 | Accuracy 0.7640 | ETputs(KTEPS) 3326.02
Epoch 00037 | Time(s) 0.0040 | Loss 1.6534 | Accuracy 0.7700 | ETputs(KTEPS) 3295.10
Epoch 00038 | Time(s) 0.0041 | Loss -0.4888 | Accuracy 0.7680 | ETputs(KTEPS) 3261.80
Epoch 00039 | Time(s) 0.0041 | Loss 1.6243 | Accuracy 0.7800 | ETputs(KTEPS) 3274.62
accept_rate 0.9874
new_distr_dictionary 441 441
Epoch 00040 | Time(s) 0.0040 | Loss -0.4861 | Accuracy 0.7820 | ETputs(KTEPS) 3284.65
Epoch 00041 | Time(s) 0.0040 | Loss 1.6238 | Accuracy 0.7840 | ETputs(KTEPS) 3295.29
Epoch 00042 | Time(s) 0.0040 | Loss 1.6040 | Accuracy 0.7620 | ETputs(KTEPS) 3305.22
Epoch 00043 | Time(s) 0.0040 | Loss 1.5878 | Accuracy 0.7560 | ETputs(KTEPS) 3315.39
Epoch 00044 | Time(s) 0.0040 | Loss 1.5865 | Accuracy 0.7480 | ETputs(KTEPS) 3325.60
Epoch 00045 | Time(s) 0.0040 | Loss 1.5512 | Accuracy 0.7600 | ETputs(KTEPS) 3336.08
Epoch 00046 | Time(s) 0.0040 | Loss 1.5273 | Accuracy 0.7640 | ETputs(KTEPS) 3346.60
Epoch 00047 | Time(s) 0.0040 | Loss 1.4698 | Accuracy 0.8020 | ETputs(KTEPS) 3353.35
Epoch 00048 | Time(s) 0.0039 | Loss -0.4460 | Accuracy 0.8000 | ETputs(KTEPS) 3360.36
Epoch 00049 | Time(s) 0.0040 | Loss 1.3915 | Accuracy 0.7940 | ETputs(KTEPS) 3339.74
accept_rate 0.9746
new_distr_dictionary 441 441
Epoch 00050 | Time(s) 0.0040 | Loss 1.4162 | Accuracy 0.7940 | ETputs(KTEPS) 3347.65
Epoch 00051 | Time(s) 0.0040 | Loss 1.3548 | Accuracy 0.8040 | ETputs(KTEPS) 3355.76
Epoch 00052 | Time(s) 0.0039 | Loss 1.2957 | Accuracy 0.7960 | ETputs(KTEPS) 3364.32
Epoch 00053 | Time(s) 0.0039 | Loss 1.2991 | Accuracy 0.7720 | ETputs(KTEPS) 3372.01
Epoch 00054 | Time(s) 0.0039 | Loss 1.2695 | Accuracy 0.7680 | ETputs(KTEPS) 3381.17
Epoch 00055 | Time(s) 0.0039 | Loss -0.3589 | Accuracy 0.7560 | ETputs(KTEPS) 3388.47
Epoch 00056 | Time(s) 0.0039 | Loss 1.1611 | Accuracy 0.7680 | ETputs(KTEPS) 3396.20
Epoch 00057 | Time(s) 0.0039 | Loss 1.1685 | Accuracy 0.7780 | ETputs(KTEPS) 3402.32
Epoch 00058 | Time(s) 0.0039 | Loss 1.1362 | Accuracy 0.8000 | ETputs(KTEPS) 3408.54
Epoch 00059 | Time(s) 0.0039 | Loss 1.0983 | Accuracy 0.8020 | ETputs(KTEPS) 3408.04
accept_rate 0.9594
new_distr_dictionary 441 441
Epoch 00060 | Time(s) 0.0039 | Loss 1.0241 | Accuracy 0.8000 | ETputs(KTEPS) 3406.42
Epoch 00061 | Time(s) 0.0039 | Loss -0.2831 | Accuracy 0.8000 | ETputs(KTEPS) 3406.12
Epoch 00062 | Time(s) 0.0039 | Loss -0.2938 | Accuracy 0.7920 | ETputs(KTEPS) 3403.17
Epoch 00063 | Time(s) 0.0039 | Loss 1.0118 | Accuracy 0.7980 | ETputs(KTEPS) 3402.66
Epoch 00064 | Time(s) 0.0039 | Loss 0.9090 | Accuracy 0.7940 | ETputs(KTEPS) 3401.49
Epoch 00065 | Time(s) 0.0039 | Loss 0.8933 | Accuracy 0.8000 | ETputs(KTEPS) 3400.41
Epoch 00066 | Time(s) 0.0039 | Loss -0.2757 | Accuracy 0.7700 | ETputs(KTEPS) 3397.52
Epoch 00067 | Time(s) 0.0039 | Loss 0.8760 | Accuracy 0.7640 | ETputs(KTEPS) 3396.70
Epoch 00068 | Time(s) 0.0039 | Loss 0.8921 | Accuracy 0.7720 | ETputs(KTEPS) 3396.55
Epoch 00069 | Time(s) 0.0039 | Loss 0.8765 | Accuracy 0.7820 | ETputs(KTEPS) 3397.18
accept_rate 0.9392
new_distr_dictionary 441 441
Epoch 00070 | Time(s) 0.0039 | Loss -0.2519 | Accuracy 0.7780 | ETputs(KTEPS) 3375.98
Epoch 00071 | Time(s) 0.0040 | Loss 0.7711 | Accuracy 0.7860 | ETputs(KTEPS) 3357.53
Epoch 00072 | Time(s) 0.0040 | Loss 0.7650 | Accuracy 0.7980 | ETputs(KTEPS) 3357.03
Epoch 00073 | Time(s) 0.0040 | Loss -0.2321 | Accuracy 0.8000 | ETputs(KTEPS) 3356.51
Epoch 00074 | Time(s) 0.0040 | Loss -0.2396 | Accuracy 0.8020 | ETputs(KTEPS) 3354.43
Epoch 00075 | Time(s) 0.0040 | Loss 0.7667 | Accuracy 0.8080 | ETputs(KTEPS) 3353.77
Epoch 00076 | Time(s) 0.0040 | Loss 0.7421 | Accuracy 0.7940 | ETputs(KTEPS) 3353.63
Epoch 00077 | Time(s) 0.0040 | Loss 0.6627 | Accuracy 0.7980 | ETputs(KTEPS) 3354.77
Epoch 00078 | Time(s) 0.0040 | Loss 0.6794 | Accuracy 0.7920 | ETputs(KTEPS) 3356.52
Epoch 00079 | Time(s) 0.0040 | Loss 0.6948 | Accuracy 0.7920 | ETputs(KTEPS) 3355.71
accept_rate 0.9269333333333334
new_distr_dictionary 441 441
Epoch 00080 | Time(s) 0.0040 | Loss -0.2225 | Accuracy 0.7720 | ETputs(KTEPS) 3353.63
Epoch 00081 | Time(s) 0.0040 | Loss 0.7405 | Accuracy 0.7760 | ETputs(KTEPS) 3353.16
Epoch 00082 | Time(s) 0.0040 | Loss 0.7169 | Accuracy 0.7940 | ETputs(KTEPS) 3351.10
Epoch 00083 | Time(s) 0.0040 | Loss 0.6715 | Accuracy 0.8060 | ETputs(KTEPS) 3349.97
Epoch 00084 | Time(s) 0.0040 | Loss 0.6415 | Accuracy 0.8120 | ETputs(KTEPS) 3349.91
Epoch 00085 | Time(s) 0.0040 | Loss 0.6306 | Accuracy 0.8040 | ETputs(KTEPS) 3350.03
Epoch 00086 | Time(s) 0.0040 | Loss 0.6260 | Accuracy 0.8060 | ETputs(KTEPS) 3351.38
Epoch 00087 | Time(s) 0.0040 | Loss -0.1810 | Accuracy 0.7980 | ETputs(KTEPS) 3350.52
Epoch 00088 | Time(s) 0.0040 | Loss 0.6625 | Accuracy 0.8000 | ETputs(KTEPS) 3349.07
Epoch 00089 | Time(s) 0.0040 | Loss -0.1826 | Accuracy 0.7980 | ETputs(KTEPS) 3349.61
accept_rate 0.9148666666666667
new_distr_dictionary 441 441
Epoch 00090 | Time(s) 0.0040 | Loss 0.6726 | Accuracy 0.7940 | ETputs(KTEPS) 3348.45
Epoch 00091 | Time(s) 0.0040 | Loss 0.6381 | Accuracy 0.8040 | ETputs(KTEPS) 3348.29
Epoch 00092 | Time(s) 0.0040 | Loss -0.1611 | Accuracy 0.8000 | ETputs(KTEPS) 3334.10
Epoch 00093 | Time(s) 0.0040 | Loss -0.1673 | Accuracy 0.7900 | ETputs(KTEPS) 3334.40
Epoch 00094 | Time(s) 0.0040 | Loss -0.1764 | Accuracy 0.8000 | ETputs(KTEPS) 3320.85
Epoch 00095 | Time(s) 0.0040 | Loss 0.6114 | Accuracy 0.7980 | ETputs(KTEPS) 3320.25
Epoch 00096 | Time(s) 0.0040 | Loss -0.1849 | Accuracy 0.7940 | ETputs(KTEPS) 3319.92
Epoch 00097 | Time(s) 0.0040 | Loss 0.5973 | Accuracy 0.7900 | ETputs(KTEPS) 3320.84
Epoch 00098 | Time(s) 0.0040 | Loss 0.5902 | Accuracy 0.7880 | ETputs(KTEPS) 3320.10
Epoch 00099 | Time(s) 0.0040 | Loss -0.1687 | Accuracy 0.7840 | ETputs(KTEPS) 3320.21
accept_rate 0.8994666666666666
new_distr_dictionary 441 441
Epoch 00100 | Time(s) 0.0040 | Loss 0.5749 | Accuracy 0.7880 | ETputs(KTEPS) 3323.83
Epoch 00101 | Time(s) 0.0040 | Loss 0.5916 | Accuracy 0.7880 | ETputs(KTEPS) 3327.98
Epoch 00102 | Time(s) 0.0040 | Loss -0.1803 | Accuracy 0.7960 | ETputs(KTEPS) 3332.15
Epoch 00103 | Time(s) 0.0040 | Loss -0.1826 | Accuracy 0.7940 | ETputs(KTEPS) 3335.31
Epoch 00104 | Time(s) 0.0040 | Loss -0.2019 | Accuracy 0.7960 | ETputs(KTEPS) 3339.65
Epoch 00105 | Time(s) 0.0040 | Loss 0.6318 | Accuracy 0.8000 | ETputs(KTEPS) 3343.96
Epoch 00106 | Time(s) 0.0040 | Loss -0.2044 | Accuracy 0.7980 | ETputs(KTEPS) 3347.49
Epoch 00107 | Time(s) 0.0040 | Loss 0.6605 | Accuracy 0.8020 | ETputs(KTEPS) 3352.32
Epoch 00108 | Time(s) 0.0040 | Loss -0.1982 | Accuracy 0.8020 | ETputs(KTEPS) 3356.18
Epoch 00109 | Time(s) 0.0039 | Loss -0.2085 | Accuracy 0.7980 | ETputs(KTEPS) 3359.47
accept_rate 0.8943333333333333
new_distr_dictionary 441 441
Epoch 00110 | Time(s) 0.0039 | Loss 0.6000 | Accuracy 0.8020 | ETputs(KTEPS) 3362.21
Epoch 00111 | Time(s) 0.0039 | Loss 0.6225 | Accuracy 0.7980 | ETputs(KTEPS) 3365.79
Epoch 00112 | Time(s) 0.0039 | Loss 0.6489 | Accuracy 0.8020 | ETputs(KTEPS) 3367.95
Epoch 00113 | Time(s) 0.0039 | Loss 0.6595 | Accuracy 0.8060 | ETputs(KTEPS) 3370.73
Epoch 00114 | Time(s) 0.0039 | Loss -0.1765 | Accuracy 0.8060 | ETputs(KTEPS) 3374.24
Epoch 00115 | Time(s) 0.0039 | Loss 0.6761 | Accuracy 0.8060 | ETputs(KTEPS) 3377.89
Epoch 00116 | Time(s) 0.0040 | Loss 0.7375 | Accuracy 0.8040 | ETputs(KTEPS) 3356.47
Epoch 00117 | Time(s) 0.0039 | Loss 0.7173 | Accuracy 0.7920 | ETputs(KTEPS) 3360.09
Epoch 00118 | Time(s) 0.0039 | Loss -0.1955 | Accuracy 0.7880 | ETputs(KTEPS) 3363.32
Epoch 00119 | Time(s) 0.0039 | Loss 0.6070 | Accuracy 0.7800 | ETputs(KTEPS) 3366.20
accept_rate 0.8922666666666667
new_distr_dictionary 441 441
Epoch 00120 | Time(s) 0.0039 | Loss 0.6418 | Accuracy 0.7880 | ETputs(KTEPS) 3369.26
Epoch 00121 | Time(s) 0.0039 | Loss -0.1910 | Accuracy 0.7900 | ETputs(KTEPS) 3371.88
Epoch 00122 | Time(s) 0.0039 | Loss 0.5910 | Accuracy 0.7980 | ETputs(KTEPS) 3375.56
Epoch 00123 | Time(s) 0.0039 | Loss -0.1881 | Accuracy 0.8020 | ETputs(KTEPS) 3364.10
Epoch 00124 | Time(s) 0.0039 | Loss -0.1774 | Accuracy 0.7980 | ETputs(KTEPS) 3366.37
Epoch 00125 | Time(s) 0.0039 | Loss 0.6791 | Accuracy 0.7980 | ETputs(KTEPS) 3369.33
Epoch 00126 | Time(s) 0.0039 | Loss -0.1808 | Accuracy 0.7840 | ETputs(KTEPS) 3373.12
Epoch 00127 | Time(s) 0.0039 | Loss 0.6287 | Accuracy 0.7720 | ETputs(KTEPS) 3376.94
Epoch 00128 | Time(s) 0.0039 | Loss 0.6171 | Accuracy 0.7800 | ETputs(KTEPS) 3366.63
Epoch 00129 | Time(s) 0.0039 | Loss -0.1900 | Accuracy 0.7740 | ETputs(KTEPS) 3369.49
accept_rate 0.8660666666666667
new_distr_dictionary 441 441
Epoch 00130 | Time(s) 0.0039 | Loss 0.5714 | Accuracy 0.7840 | ETputs(KTEPS) 3371.51
Epoch 00131 | Time(s) 0.0039 | Loss 0.5897 | Accuracy 0.7900 | ETputs(KTEPS) 3365.11
Epoch 00132 | Time(s) 0.0039 | Loss 0.5929 | Accuracy 0.7860 | ETputs(KTEPS) 3368.18
Epoch 00133 | Time(s) 0.0039 | Loss -0.1736 | Accuracy 0.7860 | ETputs(KTEPS) 3372.39
Epoch 00134 | Time(s) 0.0039 | Loss 0.6463 | Accuracy 0.7860 | ETputs(KTEPS) 3376.79
Epoch 00135 | Time(s) 0.0039 | Loss -0.1841 | Accuracy 0.7840 | ETputs(KTEPS) 3380.29
Epoch 00136 | Time(s) 0.0039 | Loss -0.1682 | Accuracy 0.7780 | ETputs(KTEPS) 3383.59
Epoch 00137 | Time(s) 0.0039 | Loss 0.6827 | Accuracy 0.7880 | ETputs(KTEPS) 3387.07
Epoch 00138 | Time(s) 0.0039 | Loss 0.6050 | Accuracy 0.7860 | ETputs(KTEPS) 3390.26
Epoch 00139 | Time(s) 0.0039 | Loss -0.1749 | Accuracy 0.7800 | ETputs(KTEPS) 3393.70
accept_rate 0.8668666666666667
new_distr_dictionary 441 441
Epoch 00140 | Time(s) 0.0039 | Loss -0.1829 | Accuracy 0.7800 | ETputs(KTEPS) 3395.42
Epoch 00141 | Time(s) 0.0039 | Loss -0.1535 | Accuracy 0.7760 | ETputs(KTEPS) 3398.52
Epoch 00142 | Time(s) 0.0039 | Loss 0.5999 | Accuracy 0.7840 | ETputs(KTEPS) 3401.80
Epoch 00143 | Time(s) 0.0039 | Loss 0.6267 | Accuracy 0.7820 | ETputs(KTEPS) 3405.34
Epoch 00144 | Time(s) 0.0039 | Loss 0.6648 | Accuracy 0.7900 | ETputs(KTEPS) 3408.56
Epoch 00145 | Time(s) 0.0039 | Loss -0.1539 | Accuracy 0.7860 | ETputs(KTEPS) 3411.98
Epoch 00146 | Time(s) 0.0039 | Loss 0.5418 | Accuracy 0.7780 | ETputs(KTEPS) 3403.34
Epoch 00147 | Time(s) 0.0039 | Loss -0.1811 | Accuracy 0.7760 | ETputs(KTEPS) 3406.05
Epoch 00148 | Time(s) 0.0039 | Loss 0.5667 | Accuracy 0.7760 | ETputs(KTEPS) 3396.48
Epoch 00149 | Time(s) 0.0039 | Loss 0.5901 | Accuracy 0.7900 | ETputs(KTEPS) 3400.20
accept_rate 0.8520666666666666
new_distr_dictionary 441 441
Epoch 00150 | Time(s) 0.0039 | Loss 0.6699 | Accuracy 0.7980 | ETputs(KTEPS) 3402.80
Epoch 00151 | Time(s) 0.0039 | Loss 0.5394 | Accuracy 0.7980 | ETputs(KTEPS) 3405.95
Epoch 00152 | Time(s) 0.0039 | Loss 0.5361 | Accuracy 0.7880 | ETputs(KTEPS) 3409.35
Epoch 00153 | Time(s) 0.0039 | Loss 0.5453 | Accuracy 0.7900 | ETputs(KTEPS) 3413.23
Epoch 00154 | Time(s) 0.0039 | Loss 0.4897 | Accuracy 0.7880 | ETputs(KTEPS) 3416.11
Epoch 00155 | Time(s) 0.0039 | Loss 0.5353 | Accuracy 0.7900 | ETputs(KTEPS) 3419.55
Epoch 00156 | Time(s) 0.0039 | Loss -0.1683 | Accuracy 0.7920 | ETputs(KTEPS) 3422.13
Epoch 00157 | Time(s) 0.0039 | Loss -0.1620 | Accuracy 0.7880 | ETputs(KTEPS) 3424.82
Epoch 00158 | Time(s) 0.0039 | Loss 0.5014 | Accuracy 0.7860 | ETputs(KTEPS) 3428.15
Epoch 00159 | Time(s) 0.0039 | Loss 0.5354 | Accuracy 0.7920 | ETputs(KTEPS) 3431.16
accept_rate 0.8394666666666667
new_distr_dictionary 441 441
Epoch 00160 | Time(s) 0.0039 | Loss -0.1573 | Accuracy 0.7880 | ETputs(KTEPS) 3432.92
Epoch 00161 | Time(s) 0.0039 | Loss -0.1641 | Accuracy 0.7940 | ETputs(KTEPS) 3434.87
Epoch 00162 | Time(s) 0.0039 | Loss 0.5312 | Accuracy 0.7960 | ETputs(KTEPS) 3437.69
Epoch 00163 | Time(s) 0.0039 | Loss -0.1433 | Accuracy 0.7960 | ETputs(KTEPS) 3440.47
Epoch 00164 | Time(s) 0.0039 | Loss 0.4774 | Accuracy 0.7920 | ETputs(KTEPS) 3443.14
Epoch 00165 | Time(s) 0.0038 | Loss 0.4969 | Accuracy 0.7920 | ETputs(KTEPS) 3445.94
Epoch 00166 | Time(s) 0.0038 | Loss 0.5232 | Accuracy 0.7940 | ETputs(KTEPS) 3448.04
Epoch 00167 | Time(s) 0.0038 | Loss 0.4777 | Accuracy 0.8000 | ETputs(KTEPS) 3450.44
Epoch 00168 | Time(s) 0.0038 | Loss 0.5203 | Accuracy 0.8020 | ETputs(KTEPS) 3453.15
Epoch 00169 | Time(s) 0.0038 | Loss 0.5043 | Accuracy 0.7960 | ETputs(KTEPS) 3457.74
accept_rate 0.8199333333333333
new_distr_dictionary 441 441
Epoch 00170 | Time(s) 0.0038 | Loss 0.4732 | Accuracy 0.7940 | ETputs(KTEPS) 3454.53
Epoch 00171 | Time(s) 0.0038 | Loss 0.4797 | Accuracy 0.7880 | ETputs(KTEPS) 3460.66
Epoch 00172 | Time(s) 0.0038 | Loss 0.5003 | Accuracy 0.7980 | ETputs(KTEPS) 3465.94
Epoch 00173 | Time(s) 0.0038 | Loss -0.1382 | Accuracy 0.7840 | ETputs(KTEPS) 3470.35
Epoch 00174 | Time(s) 0.0038 | Loss 0.4987 | Accuracy 0.7980 | ETputs(KTEPS) 3475.30
Epoch 00175 | Time(s) 0.0038 | Loss -0.1335 | Accuracy 0.7940 | ETputs(KTEPS) 3481.01
Epoch 00176 | Time(s) 0.0038 | Loss 0.4484 | Accuracy 0.7960 | ETputs(KTEPS) 3485.48
Epoch 00177 | Time(s) 0.0038 | Loss 0.4303 | Accuracy 0.7980 | ETputs(KTEPS) 3490.03
Epoch 00178 | Time(s) 0.0038 | Loss -0.1278 | Accuracy 0.7940 | ETputs(KTEPS) 3493.88
Epoch 00179 | Time(s) 0.0038 | Loss 0.4612 | Accuracy 0.7980 | ETputs(KTEPS) 3498.17
accept_rate 0.8111333333333334
new_distr_dictionary 441 441
Epoch 00180 | Time(s) 0.0038 | Loss 0.4298 | Accuracy 0.8060 | ETputs(KTEPS) 3488.68
Epoch 00181 | Time(s) 0.0038 | Loss 0.4316 | Accuracy 0.7960 | ETputs(KTEPS) 3489.67
Epoch 00182 | Time(s) 0.0038 | Loss 0.4531 | Accuracy 0.7960 | ETputs(KTEPS) 3492.00
Epoch 00183 | Time(s) 0.0038 | Loss 0.4403 | Accuracy 0.8000 | ETputs(KTEPS) 3490.63
Epoch 00184 | Time(s) 0.0038 | Loss -0.1365 | Accuracy 0.7980 | ETputs(KTEPS) 3490.96
Test accuracy 83.00%
NumNodes: 2708
NumEdges: 10556
NumFeats: 1433
NumClasses: 7
NumTrainingSamples: 140
NumValidationSamples: 500
NumTestSamples: 1000
Done loading data from cached files.
standard split
The training set index for class 0 is [52, 501, 580, 910, 925, 1002, 1209, 1372, 1794, 1795, 1826, 1852, 2001, 2004, 2013, 2020, 2068, 2223, 2569, 2658]
The training set index for class 1 is [432, 468, 479, 741, 859, 866, 1162, 1308, 1327, 1337, 1343, 1587, 1921, 1938, 1939, 1941, 2029, 2141, 2208, 2209]
The training set index for class 2 is [417, 419, 429, 452, 736, 760, 776, 812, 818, 821, 1410, 1415, 1428, 1454, 1487, 1488, 1516, 1544, 2468, 2469]
The training set index for class 3 is [79, 184, 431, 554, 637, 645, 899, 1049, 1281, 1716, 1793, 1879, 1898, 1924, 2079, 2156, 2224, 2337, 2367, 2543]
The training set index for class 4 is [3, 7, 34, 74, 484, 1819, 2032, 2064, 2160, 2169, 2226, 2232, 2287, 2296, 2445, 2518, 2528, 2669, 2673, 2681]
The training set index for class 5 is [24, 240, 242, 266, 310, 328, 352, 403, 602, 623, 624, 666, 845, 850, 1047, 1101, 1286, 1682, 1683, 1958]
The training set index for class 6 is [65, 67, 69, 70, 72, 130, 138, 140, 168, 186, 346, 542, 575, 592, 1082, 1230, 1754, 1981, 1985, 2401]
train_indices 140
----Data statistics------'
#Edges 10556
#Classes 7
#Train samples 140
#Val samples 500
#Test samples 1000
model GCNv2(
(layers): ModuleList(
(0): GraphConvolution (1433 -> 64)
(1): GraphConvolution (64 -> 7)
)
)
trainable parameters 92231
accept_rate 0.9998666666666667
new_distr_dictionary 441 441
Epoch 00000 | Time(s) nan | Loss 1.9459 | Accuracy 0.3980 | ETputs(KTEPS) nan
Epoch 00001 | Time(s) nan | Loss 1.9384 | Accuracy 0.4900 | ETputs(KTEPS) nan
Epoch 00002 | Time(s) nan | Loss 1.9289 | Accuracy 0.5660 | ETputs(KTEPS) nan
Epoch 00003 | Time(s) 0.0035 | Loss -0.5741 | Accuracy 0.4180 | ETputs(KTEPS) 3774.82
Epoch 00004 | Time(s) 0.0035 | Loss 1.9126 | Accuracy 0.4760 | ETputs(KTEPS) 3749.76
Epoch 00005 | Time(s) 0.0035 | Loss -0.5693 | Accuracy 0.4500 | ETputs(KTEPS) 3787.84
Epoch 00006 | Time(s) 0.0035 | Loss 1.8937 | Accuracy 0.5360 | ETputs(KTEPS) 3773.41
Epoch 00007 | Time(s) 0.0035 | Loss -0.5653 | Accuracy 0.5260 | ETputs(KTEPS) 3784.37
Epoch 00008 | Time(s) 0.0035 | Loss -0.5664 | Accuracy 0.4580 | ETputs(KTEPS) 3771.19
Epoch 00009 | Time(s) 0.0038 | Loss 1.8762 | Accuracy 0.5340 | ETputs(KTEPS) 3473.45
accept_rate 0.9989333333333333
new_distr_dictionary 441 441
Epoch 00010 | Time(s) 0.0038 | Loss -0.5632 | Accuracy 0.5500 | ETputs(KTEPS) 3493.67
Epoch 00011 | Time(s) 0.0038 | Loss 1.8728 | Accuracy 0.5980 | ETputs(KTEPS) 3522.13
Epoch 00012 | Time(s) 0.0037 | Loss 1.8609 | Accuracy 0.6500 | ETputs(KTEPS) 3538.79
Epoch 00013 | Time(s) 0.0037 | Loss 1.8548 | Accuracy 0.6720 | ETputs(KTEPS) 3562.89
Epoch 00014 | Time(s) 0.0037 | Loss 1.8424 | Accuracy 0.7140 | ETputs(KTEPS) 3581.31
Epoch 00015 | Time(s) 0.0037 | Loss 1.8254 | Accuracy 0.7360 | ETputs(KTEPS) 3601.50
Epoch 00016 | Time(s) 0.0037 | Loss -0.5398 | Accuracy 0.7280 | ETputs(KTEPS) 3615.43
Epoch 00017 | Time(s) 0.0037 | Loss -0.5383 | Accuracy 0.7020 | ETputs(KTEPS) 3633.86
Epoch 00018 | Time(s) 0.0036 | Loss 1.7826 | Accuracy 0.7160 | ETputs(KTEPS) 3641.84
Epoch 00019 | Time(s) 0.0036 | Loss 1.7758 | Accuracy 0.7500 | ETputs(KTEPS) 3651.66
accept_rate 0.9962
new_distr_dictionary 441 441
Epoch 00020 | Time(s) 0.0037 | Loss -0.5244 | Accuracy 0.7500 | ETputs(KTEPS) 3622.99
Epoch 00021 | Time(s) 0.0037 | Loss -0.5222 | Accuracy 0.7400 | ETputs(KTEPS) 3618.99
Epoch 00022 | Time(s) 0.0037 | Loss 1.7283 | Accuracy 0.7480 | ETputs(KTEPS) 3606.48
Epoch 00023 | Time(s) 0.0037 | Loss 1.7321 | Accuracy 0.7620 | ETputs(KTEPS) 3600.08
Epoch 00024 | Time(s) 0.0037 | Loss -0.5110 | Accuracy 0.7640 | ETputs(KTEPS) 3594.67
Epoch 00025 | Time(s) 0.0037 | Loss -0.5021 | Accuracy 0.7560 | ETputs(KTEPS) 3587.59
Epoch 00026 | Time(s) 0.0037 | Loss 1.7098 | Accuracy 0.7440 | ETputs(KTEPS) 3586.80
Epoch 00027 | Time(s) 0.0037 | Loss 1.6680 | Accuracy 0.7420 | ETputs(KTEPS) 3578.73
Epoch 00028 | Time(s) 0.0037 | Loss -0.4941 | Accuracy 0.7340 | ETputs(KTEPS) 3576.42
Epoch 00029 | Time(s) 0.0037 | Loss 1.6667 | Accuracy 0.7420 | ETputs(KTEPS) 3569.63
accept_rate 0.9917333333333334
new_distr_dictionary 441 441
Epoch 00030 | Time(s) 0.0038 | Loss 1.6424 | Accuracy 0.7480 | ETputs(KTEPS) 3512.25
Epoch 00031 | Time(s) 0.0038 | Loss -0.4784 | Accuracy 0.7520 | ETputs(KTEPS) 3514.84
Epoch 00032 | Time(s) 0.0038 | Loss 1.5964 | Accuracy 0.7620 | ETputs(KTEPS) 3517.21
Epoch 00033 | Time(s) 0.0038 | Loss 1.5991 | Accuracy 0.7580 | ETputs(KTEPS) 3516.39
Epoch 00034 | Time(s) 0.0038 | Loss 1.5392 | Accuracy 0.7580 | ETputs(KTEPS) 3518.04
Epoch 00035 | Time(s) 0.0038 | Loss -0.4668 | Accuracy 0.7600 | ETputs(KTEPS) 3516.34
Epoch 00036 | Time(s) 0.0038 | Loss 1.5210 | Accuracy 0.7700 | ETputs(KTEPS) 3518.94
Epoch 00037 | Time(s) 0.0038 | Loss 1.5103 | Accuracy 0.7700 | ETputs(KTEPS) 3482.21
Epoch 00038 | Time(s) 0.0038 | Loss 1.4891 | Accuracy 0.7720 | ETputs(KTEPS) 3484.73
Epoch 00039 | Time(s) 0.0038 | Loss 1.4443 | Accuracy 0.7760 | ETputs(KTEPS) 3486.38
accept_rate 0.9832666666666666
new_distr_dictionary 441 441
Epoch 00040 | Time(s) 0.0038 | Loss 1.3960 | Accuracy 0.7720 | ETputs(KTEPS) 3479.40
Epoch 00041 | Time(s) 0.0038 | Loss 1.4217 | Accuracy 0.7740 | ETputs(KTEPS) 3485.16
Epoch 00042 | Time(s) 0.0038 | Loss 1.3406 | Accuracy 0.7780 | ETputs(KTEPS) 3488.40
Epoch 00043 | Time(s) 0.0038 | Loss -0.3865 | Accuracy 0.7780 | ETputs(KTEPS) 3489.43
Epoch 00044 | Time(s) 0.0038 | Loss 1.2595 | Accuracy 0.7880 | ETputs(KTEPS) 3492.78
Epoch 00045 | Time(s) 0.0038 | Loss -0.3828 | Accuracy 0.7940 | ETputs(KTEPS) 3486.53
Epoch 00046 | Time(s) 0.0038 | Loss 1.2197 | Accuracy 0.7940 | ETputs(KTEPS) 3498.02
Epoch 00047 | Time(s) 0.0038 | Loss -0.3443 | Accuracy 0.7980 | ETputs(KTEPS) 3507.44
Epoch 00048 | Time(s) 0.0038 | Loss 1.1932 | Accuracy 0.7800 | ETputs(KTEPS) 3509.19
Epoch 00049 | Time(s) 0.0038 | Loss -0.3390 | Accuracy 0.7660 | ETputs(KTEPS) 3506.64
accept_rate 0.9736
new_distr_dictionary 441 441
Epoch 00050 | Time(s) 0.0038 | Loss -0.3266 | Accuracy 0.7500 | ETputs(KTEPS) 3501.52
Epoch 00051 | Time(s) 0.0038 | Loss 1.1085 | Accuracy 0.7660 | ETputs(KTEPS) 3504.93
Epoch 00052 | Time(s) 0.0038 | Loss 1.0697 | Accuracy 0.7800 | ETputs(KTEPS) 3507.83
Epoch 00053 | Time(s) 0.0038 | Loss 1.1316 | Accuracy 0.7980 | ETputs(KTEPS) 3512.30
Epoch 00054 | Time(s) 0.0038 | Loss -0.3181 | Accuracy 0.7880 | ETputs(KTEPS) 3508.88
Epoch 00055 | Time(s) 0.0038 | Loss 1.1093 | Accuracy 0.7880 | ETputs(KTEPS) 3506.85
Epoch 00056 | Time(s) 0.0038 | Loss -0.2981 | Accuracy 0.7740 | ETputs(KTEPS) 3507.43
Epoch 00057 | Time(s) 0.0038 | Loss -0.3147 | Accuracy 0.7460 | ETputs(KTEPS) 3499.86
Epoch 00058 | Time(s) 0.0038 | Loss 1.0088 | Accuracy 0.7620 | ETputs(KTEPS) 3499.42
Epoch 00059 | Time(s) 0.0038 | Loss 1.0228 | Accuracy 0.7940 | ETputs(KTEPS) 3500.75
accept_rate 0.9555333333333333
new_distr_dictionary 441 441
Epoch 00060 | Time(s) 0.0038 | Loss -0.2959 | Accuracy 0.7920 | ETputs(KTEPS) 3473.23
Epoch 00061 | Time(s) 0.0038 | Loss -0.2980 | Accuracy 0.7580 | ETputs(KTEPS) 3470.22
Epoch 00062 | Time(s) 0.0038 | Loss -0.2733 | Accuracy 0.7520 | ETputs(KTEPS) 3471.94
Epoch 00063 | Time(s) 0.0038 | Loss -0.3063 | Accuracy 0.7240 | ETputs(KTEPS) 3468.66
Epoch 00064 | Time(s) 0.0038 | Loss 0.9927 | Accuracy 0.7300 | ETputs(KTEPS) 3467.35
Epoch 00065 | Time(s) 0.0038 | Loss -0.2940 | Accuracy 0.7300 | ETputs(KTEPS) 3464.24
Epoch 00066 | Time(s) 0.0038 | Loss 0.9741 | Accuracy 0.7520 | ETputs(KTEPS) 3462.87
Epoch 00067 | Time(s) 0.0038 | Loss -0.3064 | Accuracy 0.7560 | ETputs(KTEPS) 3461.00
Epoch 00068 | Time(s) 0.0038 | Loss -0.2984 | Accuracy 0.7560 | ETputs(KTEPS) 3458.12
Epoch 00069 | Time(s) 0.0039 | Loss 1.0343 | Accuracy 0.7680 | ETputs(KTEPS) 3434.39
accept_rate 0.9510666666666666
new_distr_dictionary 441 441
Epoch 00070 | Time(s) 0.0039 | Loss -0.2981 | Accuracy 0.7780 | ETputs(KTEPS) 3433.63
Epoch 00071 | Time(s) 0.0039 | Loss 1.0295 | Accuracy 0.7900 | ETputs(KTEPS) 3431.50
Epoch 00072 | Time(s) 0.0039 | Loss 1.0249 | Accuracy 0.7960 | ETputs(KTEPS) 3430.76
Epoch 00073 | Time(s) 0.0039 | Loss 1.0440 | Accuracy 0.7820 | ETputs(KTEPS) 3430.29
Epoch 00074 | Time(s) 0.0039 | Loss 0.9832 | Accuracy 0.7840 | ETputs(KTEPS) 3426.04
Epoch 00075 | Time(s) 0.0039 | Loss 1.0108 | Accuracy 0.7820 | ETputs(KTEPS) 3425.44
Epoch 00076 | Time(s) 0.0039 | Loss 0.9862 | Accuracy 0.7860 | ETputs(KTEPS) 3424.58
Epoch 00077 | Time(s) 0.0039 | Loss -0.2853 | Accuracy 0.7860 | ETputs(KTEPS) 3424.06
Epoch 00078 | Time(s) 0.0039 | Loss 0.9223 | Accuracy 0.7840 | ETputs(KTEPS) 3424.14
Epoch 00079 | Time(s) 0.0039 | Loss -0.2540 | Accuracy 0.7820 | ETputs(KTEPS) 3423.45
accept_rate 0.9385333333333333
new_distr_dictionary 441 441
Epoch 00080 | Time(s) 0.0039 | Loss -0.2759 | Accuracy 0.7800 | ETputs(KTEPS) 3420.26
Epoch 00081 | Time(s) 0.0039 | Loss 0.8411 | Accuracy 0.7820 | ETputs(KTEPS) 3417.57
Epoch 00082 | Time(s) 0.0039 | Loss -0.2613 | Accuracy 0.7840 | ETputs(KTEPS) 3414.94
Epoch 00083 | Time(s) 0.0039 | Loss 0.8557 | Accuracy 0.7780 | ETputs(KTEPS) 3414.58
Epoch 00084 | Time(s) 0.0039 | Loss -0.2577 | Accuracy 0.7780 | ETputs(KTEPS) 3413.06
Epoch 00085 | Time(s) 0.0039 | Loss 0.8295 | Accuracy 0.7740 | ETputs(KTEPS) 3412.47
Epoch 00086 | Time(s) 0.0039 | Loss 0.8098 | Accuracy 0.7800 | ETputs(KTEPS) 3411.77
Epoch 00087 | Time(s) 0.0039 | Loss 0.7954 | Accuracy 0.7880 | ETputs(KTEPS) 3409.78
Epoch 00088 | Time(s) 0.0039 | Loss 0.8197 | Accuracy 0.7900 | ETputs(KTEPS) 3408.35
Epoch 00089 | Time(s) 0.0039 | Loss -0.2393 | Accuracy 0.7900 | ETputs(KTEPS) 3407.71
accept_rate 0.9234666666666667
new_distr_dictionary 441 441
Epoch 00090 | Time(s) 0.0039 | Loss -0.2202 | Accuracy 0.7940 | ETputs(KTEPS) 3405.58
Epoch 00091 | Time(s) 0.0039 | Loss 0.7166 | Accuracy 0.7900 | ETputs(KTEPS) 3403.45
Epoch 00092 | Time(s) 0.0039 | Loss 0.7905 | Accuracy 0.7960 | ETputs(KTEPS) 3401.58
Epoch 00093 | Time(s) 0.0039 | Loss 0.7345 | Accuracy 0.7920 | ETputs(KTEPS) 3400.42
Epoch 00094 | Time(s) 0.0039 | Loss 0.7328 | Accuracy 0.7840 | ETputs(KTEPS) 3399.89
Epoch 00095 | Time(s) 0.0039 | Loss 0.7120 | Accuracy 0.7840 | ETputs(KTEPS) 3399.34
Epoch 00096 | Time(s) 0.0039 | Loss 0.7288 | Accuracy 0.7920 | ETputs(KTEPS) 3397.89
Epoch 00097 | Time(s) 0.0039 | Loss -0.2076 | Accuracy 0.7860 | ETputs(KTEPS) 3396.40
Epoch 00098 | Time(s) 0.0039 | Loss 0.6472 | Accuracy 0.7860 | ETputs(KTEPS) 3395.66
Epoch 00099 | Time(s) 0.0039 | Loss 0.6443 | Accuracy 0.8000 | ETputs(KTEPS) 3395.53
accept_rate 0.9157333333333333
new_distr_dictionary 441 441
Epoch 00100 | Time(s) 0.0039 | Loss -0.2128 | Accuracy 0.8120 | ETputs(KTEPS) 3394.24
Epoch 00101 | Time(s) 0.0039 | Loss -0.2039 | Accuracy 0.8200 | ETputs(KTEPS) 3397.17
Epoch 00102 | Time(s) 0.0039 | Loss -0.1855 | Accuracy 0.8160 | ETputs(KTEPS) 3399.90
Epoch 00103 | Time(s) 0.0039 | Loss -0.1854 | Accuracy 0.8140 | ETputs(KTEPS) 3403.48
Epoch 00104 | Time(s) 0.0039 | Loss 0.6593 | Accuracy 0.8180 | ETputs(KTEPS) 3407.02
Epoch 00105 | Time(s) 0.0039 | Loss -0.1920 | Accuracy 0.8160 | ETputs(KTEPS) 3410.59
Epoch 00106 | Time(s) 0.0039 | Loss 0.6839 | Accuracy 0.8200 | ETputs(KTEPS) 3413.90
Epoch 00107 | Time(s) 0.0039 | Loss 0.6847 | Accuracy 0.8160 | ETputs(KTEPS) 3416.36
Epoch 00108 | Time(s) 0.0039 | Loss 0.6382 | Accuracy 0.8120 | ETputs(KTEPS) 3419.28
Epoch 00109 | Time(s) 0.0039 | Loss 0.6287 | Accuracy 0.8040 | ETputs(KTEPS) 3422.84
accept_rate 0.896
new_distr_dictionary 441 441
Epoch 00110 | Time(s) 0.0039 | Loss 0.7037 | Accuracy 0.8020 | ETputs(KTEPS) 3425.59
Epoch 00111 | Time(s) 0.0039 | Loss -0.1798 | Accuracy 0.7840 | ETputs(KTEPS) 3400.51
Epoch 00112 | Time(s) 0.0039 | Loss 0.6568 | Accuracy 0.7880 | ETputs(KTEPS) 3403.63
Epoch 00113 | Time(s) 0.0039 | Loss -0.1880 | Accuracy 0.7900 | ETputs(KTEPS) 3405.82
Epoch 00114 | Time(s) 0.0039 | Loss 0.6584 | Accuracy 0.7960 | ETputs(KTEPS) 3409.66
Epoch 00115 | Time(s) 0.0039 | Loss 0.6243 | Accuracy 0.7960 | ETputs(KTEPS) 3395.77
Epoch 00116 | Time(s) 0.0039 | Loss 0.6801 | Accuracy 0.8020 | ETputs(KTEPS) 3399.40
Epoch 00117 | Time(s) 0.0039 | Loss -0.1898 | Accuracy 0.7880 | ETputs(KTEPS) 3402.77
Epoch 00118 | Time(s) 0.0039 | Loss 0.6375 | Accuracy 0.7940 | ETputs(KTEPS) 3405.86
Epoch 00119 | Time(s) 0.0039 | Loss 0.6206 | Accuracy 0.8040 | ETputs(KTEPS) 3408.81
accept_rate 0.8858
new_distr_dictionary 441 441
Epoch 00120 | Time(s) 0.0039 | Loss 0.5911 | Accuracy 0.8160 | ETputs(KTEPS) 3410.36
Epoch 00121 | Time(s) 0.0039 | Loss 0.5693 | Accuracy 0.8120 | ETputs(KTEPS) 3412.42
Epoch 00122 | Time(s) 0.0039 | Loss 0.6414 | Accuracy 0.8120 | ETputs(KTEPS) 3415.56
Epoch 00123 | Time(s) 0.0039 | Loss 0.5955 | Accuracy 0.8060 | ETputs(KTEPS) 3418.38
Epoch 00124 | Time(s) 0.0039 | Loss -0.1716 | Accuracy 0.8000 | ETputs(KTEPS) 3420.85
Epoch 00125 | Time(s) 0.0039 | Loss 0.5863 | Accuracy 0.8000 | ETputs(KTEPS) 3424.25
Epoch 00126 | Time(s) 0.0039 | Loss 0.5425 | Accuracy 0.7920 | ETputs(KTEPS) 3426.98
Epoch 00127 | Time(s) 0.0039 | Loss 0.5556 | Accuracy 0.7980 | ETputs(KTEPS) 3429.54
Epoch 00128 | Time(s) 0.0039 | Loss -0.1697 | Accuracy 0.7940 | ETputs(KTEPS) 3431.17
Epoch 00129 | Time(s) 0.0039 | Loss 0.5338 | Accuracy 0.7980 | ETputs(KTEPS) 3433.59
accept_rate 0.8714
new_distr_dictionary 441 441
Epoch 00130 | Time(s) 0.0039 | Loss 0.5370 | Accuracy 0.8000 | ETputs(KTEPS) 3435.91
Epoch 00131 | Time(s) 0.0039 | Loss 0.5420 | Accuracy 0.7960 | ETputs(KTEPS) 3437.64
Epoch 00132 | Time(s) 0.0039 | Loss 0.4967 | Accuracy 0.7980 | ETputs(KTEPS) 3440.30
Epoch 00133 | Time(s) 0.0039 | Loss 0.5164 | Accuracy 0.7980 | ETputs(KTEPS) 3443.77
Epoch 00134 | Time(s) 0.0038 | Loss -0.1723 | Accuracy 0.7980 | ETputs(KTEPS) 3446.92
Epoch 00135 | Time(s) 0.0038 | Loss 0.5515 | Accuracy 0.8000 | ETputs(KTEPS) 3450.03
Epoch 00136 | Time(s) 0.0038 | Loss -0.1453 | Accuracy 0.7860 | ETputs(KTEPS) 3452.76
Epoch 00137 | Time(s) 0.0038 | Loss 0.4442 | Accuracy 0.7820 | ETputs(KTEPS) 3455.78
Epoch 00138 | Time(s) 0.0038 | Loss -0.1442 | Accuracy 0.7840 | ETputs(KTEPS) 3459.16
Epoch 00139 | Time(s) 0.0038 | Loss 0.5210 | Accuracy 0.7860 | ETputs(KTEPS) 3461.40
accept_rate 0.8499333333333333
new_distr_dictionary 441 441
Epoch 00140 | Time(s) 0.0038 | Loss -0.1723 | Accuracy 0.7800 | ETputs(KTEPS) 3452.67
Epoch 00141 | Time(s) 0.0038 | Loss -0.1500 | Accuracy 0.7800 | ETputs(KTEPS) 3455.49
Epoch 00142 | Time(s) 0.0038 | Loss 0.5512 | Accuracy 0.7840 | ETputs(KTEPS) 3458.25
Epoch 00143 | Time(s) 0.0038 | Loss 0.5386 | Accuracy 0.7940 | ETputs(KTEPS) 3460.76
Epoch 00144 | Time(s) 0.0038 | Loss 0.5222 | Accuracy 0.7940 | ETputs(KTEPS) 3463.72
Epoch 00145 | Time(s) 0.0038 | Loss 0.4790 | Accuracy 0.8040 | ETputs(KTEPS) 3466.72
Epoch 00146 | Time(s) 0.0038 | Loss -0.1393 | Accuracy 0.7980 | ETputs(KTEPS) 3468.82
Epoch 00147 | Time(s) 0.0038 | Loss 0.4989 | Accuracy 0.7940 | ETputs(KTEPS) 3472.06
Epoch 00148 | Time(s) 0.0038 | Loss -0.1662 | Accuracy 0.7960 | ETputs(KTEPS) 3474.72
Epoch 00149 | Time(s) 0.0038 | Loss 0.5581 | Accuracy 0.7900 | ETputs(KTEPS) 3477.97
accept_rate 0.8546666666666667
new_distr_dictionary 441 441
Epoch 00150 | Time(s) 0.0038 | Loss -0.1730 | Accuracy 0.7920 | ETputs(KTEPS) 3479.16
Epoch 00151 | Time(s) 0.0038 | Loss 0.5986 | Accuracy 0.7960 | ETputs(KTEPS) 3481.54
Epoch 00152 | Time(s) 0.0038 | Loss -0.1522 | Accuracy 0.8020 | ETputs(KTEPS) 3483.65
Epoch 00153 | Time(s) 0.0038 | Loss 0.4870 | Accuracy 0.8000 | ETputs(KTEPS) 3486.58
Epoch 00154 | Time(s) 0.0038 | Loss -0.1741 | Accuracy 0.8000 | ETputs(KTEPS) 3489.45
Epoch 00155 | Time(s) 0.0038 | Loss -0.1666 | Accuracy 0.8000 | ETputs(KTEPS) 3491.69
Epoch 00156 | Time(s) 0.0038 | Loss 0.5137 | Accuracy 0.7980 | ETputs(KTEPS) 3494.42
Epoch 00157 | Time(s) 0.0038 | Loss -0.1699 | Accuracy 0.7980 | ETputs(KTEPS) 3496.42
Epoch 00158 | Time(s) 0.0038 | Loss 0.5365 | Accuracy 0.7920 | ETputs(KTEPS) 3499.05
Epoch 00159 | Time(s) 0.0038 | Loss 0.5464 | Accuracy 0.7860 | ETputs(KTEPS) 3502.33
accept_rate 0.8428
new_distr_dictionary 441 441
Epoch 00160 | Time(s) 0.0038 | Loss -0.1476 | Accuracy 0.7840 | ETputs(KTEPS) 3503.72
Epoch 00161 | Time(s) 0.0038 | Loss 0.5874 | Accuracy 0.7840 | ETputs(KTEPS) 3506.02
Epoch 00162 | Time(s) 0.0038 | Loss 0.5320 | Accuracy 0.7840 | ETputs(KTEPS) 3508.86
Epoch 00163 | Time(s) 0.0038 | Loss -0.1736 | Accuracy 0.7820 | ETputs(KTEPS) 3511.48
Epoch 00164 | Time(s) 0.0038 | Loss 0.5250 | Accuracy 0.7880 | ETputs(KTEPS) 3513.89
Epoch 00165 | Time(s) 0.0038 | Loss 0.5567 | Accuracy 0.7880 | ETputs(KTEPS) 3515.64
Epoch 00166 | Time(s) 0.0038 | Loss 0.6040 | Accuracy 0.7940 | ETputs(KTEPS) 3517.46
Epoch 00167 | Time(s) 0.0038 | Loss -0.1493 | Accuracy 0.7920 | ETputs(KTEPS) 3519.52
Epoch 00168 | Time(s) 0.0038 | Loss 0.4698 | Accuracy 0.8020 | ETputs(KTEPS) 3521.75
Epoch 00169 | Time(s) 0.0038 | Loss -0.1543 | Accuracy 0.8120 | ETputs(KTEPS) 3523.82
accept_rate 0.8328666666666666
new_distr_dictionary 441 441
Epoch 00170 | Time(s) 0.0038 | Loss 0.5414 | Accuracy 0.8040 | ETputs(KTEPS) 3525.05
Epoch 00171 | Time(s) 0.0038 | Loss 0.5223 | Accuracy 0.8040 | ETputs(KTEPS) 3524.82
Epoch 00172 | Time(s) 0.0038 | Loss 0.5491 | Accuracy 0.7940 | ETputs(KTEPS) 3527.27
Epoch 00173 | Time(s) 0.0038 | Loss -0.1634 | Accuracy 0.7900 | ETputs(KTEPS) 3518.15
Epoch 00174 | Time(s) 0.0038 | Loss 0.5002 | Accuracy 0.7860 | ETputs(KTEPS) 3520.02
Epoch 00175 | Time(s) 0.0038 | Loss 0.5410 | Accuracy 0.7880 | ETputs(KTEPS) 3521.99
Epoch 00176 | Time(s) 0.0038 | Loss 0.5008 | Accuracy 0.7800 | ETputs(KTEPS) 3523.43
Epoch 00177 | Time(s) 0.0038 | Loss 0.4902 | Accuracy 0.7840 | ETputs(KTEPS) 3525.47
Epoch 00178 | Time(s) 0.0038 | Loss 0.5277 | Accuracy 0.8020 | ETputs(KTEPS) 3527.78
Epoch 00179 | Time(s) 0.0038 | Loss 0.4219 | Accuracy 0.8060 | ETputs(KTEPS) 3529.65
accept_rate 0.8148
new_distr_dictionary 441 441
Epoch 00180 | Time(s) 0.0038 | Loss -0.1456 | Accuracy 0.8100 | ETputs(KTEPS) 3519.53
Epoch 00181 | Time(s) 0.0038 | Loss -0.1350 | Accuracy 0.8240 | ETputs(KTEPS) 3511.12
Epoch 00182 | Time(s) 0.0038 | Loss 0.4509 | Accuracy 0.8220 | ETputs(KTEPS) 3512.46
Epoch 00183 | Time(s) 0.0038 | Loss -0.1569 | Accuracy 0.8220 | ETputs(KTEPS) 3514.13
Epoch 00184 | Time(s) 0.0038 | Loss 0.5014 | Accuracy 0.8180 | ETputs(KTEPS) 3516.43
Epoch 00185 | Time(s) 0.0038 | Loss 0.5105 | Accuracy 0.7920 | ETputs(KTEPS) 3518.03
Epoch 00186 | Time(s) 0.0038 | Loss -0.1298 | Accuracy 0.7840 | ETputs(KTEPS) 3519.83
Epoch 00187 | Time(s) 0.0038 | Loss 0.4841 | Accuracy 0.7900 | ETputs(KTEPS) 3521.74
Epoch 00188 | Time(s) 0.0038 | Loss 0.4685 | Accuracy 0.7900 | ETputs(KTEPS) 3523.48
Epoch 00189 | Time(s) 0.0038 | Loss -0.1340 | Accuracy 0.7900 | ETputs(KTEPS) 3525.56
accept_rate 0.8018
new_distr_dictionary 441 441
Epoch 00190 | Time(s) 0.0038 | Loss 0.4814 | Accuracy 0.7840 | ETputs(KTEPS) 3515.97
Epoch 00191 | Time(s) 0.0038 | Loss -0.1340 | Accuracy 0.7880 | ETputs(KTEPS) 3517.26
Epoch 00192 | Time(s) 0.0038 | Loss -0.1405 | Accuracy 0.7840 | ETputs(KTEPS) 3518.44
Epoch 00193 | Time(s) 0.0038 | Loss 0.4929 | Accuracy 0.7860 | ETputs(KTEPS) 3520.49
Epoch 00194 | Time(s) 0.0038 | Loss -0.1403 | Accuracy 0.7960 | ETputs(KTEPS) 3522.00
Epoch 00195 | Time(s) 0.0038 | Loss 0.4444 | Accuracy 0.8020 | ETputs(KTEPS) 3523.95
Epoch 00196 | Time(s) 0.0038 | Loss -0.1298 | Accuracy 0.8160 | ETputs(KTEPS) 3525.25
Epoch 00197 | Time(s) 0.0038 | Loss -0.1586 | Accuracy 0.8020 | ETputs(KTEPS) 3526.62
Epoch 00198 | Time(s) 0.0038 | Loss -0.1559 | Accuracy 0.8140 | ETputs(KTEPS) 3528.60
Epoch 00199 | Time(s) 0.0038 | Loss 0.5338 | Accuracy 0.8060 | ETputs(KTEPS) 3530.53
accept_rate 0.7999333333333334
new_distr_dictionary 441 441
Epoch 00200 | Time(s) 0.0038 | Loss -0.1523 | Accuracy 0.8060 | ETputs(KTEPS) 3521.38
Epoch 00201 | Time(s) 0.0038 | Loss 0.5185 | Accuracy 0.7940 | ETputs(KTEPS) 3522.73
Epoch 00202 | Time(s) 0.0038 | Loss 0.4893 | Accuracy 0.7920 | ETputs(KTEPS) 3524.51
Epoch 00203 | Time(s) 0.0038 | Loss -0.1586 | Accuracy 0.7840 | ETputs(KTEPS) 3525.73
Epoch 00204 | Time(s) 0.0038 | Loss 0.5045 | Accuracy 0.7780 | ETputs(KTEPS) 3527.01
Epoch 00205 | Time(s) 0.0038 | Loss 0.5553 | Accuracy 0.7860 | ETputs(KTEPS) 3528.98
Epoch 00206 | Time(s) 0.0038 | Loss -0.1592 | Accuracy 0.7880 | ETputs(KTEPS) 3530.46
Epoch 00207 | Time(s) 0.0038 | Loss 0.5448 | Accuracy 0.7840 | ETputs(KTEPS) 3531.84
Epoch 00208 | Time(s) 0.0038 | Loss -0.1527 | Accuracy 0.7740 | ETputs(KTEPS) 3533.48
Epoch 00209 | Time(s) 0.0038 | Loss 0.5552 | Accuracy 0.7840 | ETputs(KTEPS) 3535.23
accept_rate 0.7951333333333334
new_distr_dictionary 441 441
Epoch 00210 | Time(s) 0.0038 | Loss 0.5599 | Accuracy 0.7920 | ETputs(KTEPS) 3536.00
Epoch 00211 | Time(s) 0.0037 | Loss -0.1643 | Accuracy 0.8040 | ETputs(KTEPS) 3537.60
Epoch 00212 | Time(s) 0.0037 | Loss -0.1538 | Accuracy 0.8160 | ETputs(KTEPS) 3539.20
Epoch 00213 | Time(s) 0.0037 | Loss 0.5183 | Accuracy 0.8200 | ETputs(KTEPS) 3540.93
Epoch 00214 | Time(s) 0.0037 | Loss 0.5085 | Accuracy 0.8160 | ETputs(KTEPS) 3542.33
Epoch 00215 | Time(s) 0.0037 | Loss 0.5764 | Accuracy 0.8080 | ETputs(KTEPS) 3544.29
Epoch 00216 | Time(s) 0.0037 | Loss -0.1724 | Accuracy 0.8120 | ETputs(KTEPS) 3545.56
Epoch 00217 | Time(s) 0.0037 | Loss 0.5481 | Accuracy 0.7980 | ETputs(KTEPS) 3547.12
Epoch 00218 | Time(s) 0.0037 | Loss 0.5538 | Accuracy 0.7940 | ETputs(KTEPS) 3548.31
Epoch 00219 | Time(s) 0.0037 | Loss 0.4506 | Accuracy 0.7820 | ETputs(KTEPS) 3549.56
accept_rate 0.7744666666666666
new_distr_dictionary 441 441
Epoch 00220 | Time(s) 0.0037 | Loss 0.5180 | Accuracy 0.7820 | ETputs(KTEPS) 3541.57
Epoch 00221 | Time(s) 0.0037 | Loss -0.1360 | Accuracy 0.7940 | ETputs(KTEPS) 3543.40
Epoch 00222 | Time(s) 0.0037 | Loss 0.4847 | Accuracy 0.7980 | ETputs(KTEPS) 3544.87
Epoch 00223 | Time(s) 0.0037 | Loss -0.1550 | Accuracy 0.7980 | ETputs(KTEPS) 3539.44
Epoch 00224 | Time(s) 0.0037 | Loss -0.1469 | Accuracy 0.7920 | ETputs(KTEPS) 3540.87
Epoch 00225 | Time(s) 0.0037 | Loss 0.5155 | Accuracy 0.7940 | ETputs(KTEPS) 3542.69
Epoch 00226 | Time(s) 0.0037 | Loss -0.1729 | Accuracy 0.7880 | ETputs(KTEPS) 3544.46
Epoch 00227 | Time(s) 0.0037 | Loss 0.4756 | Accuracy 0.7960 | ETputs(KTEPS) 3545.80
Epoch 00228 | Time(s) 0.0037 | Loss -0.1521 | Accuracy 0.7900 | ETputs(KTEPS) 3547.32
Epoch 00229 | Time(s) 0.0037 | Loss 0.5072 | Accuracy 0.7920 | ETputs(KTEPS) 3548.63
accept_rate 0.7761333333333333
new_distr_dictionary 441 441
Epoch 00230 | Time(s) 0.0037 | Loss 0.5053 | Accuracy 0.7880 | ETputs(KTEPS) 3541.45
Epoch 00231 | Time(s) 0.0037 | Loss 0.4946 | Accuracy 0.7900 | ETputs(KTEPS) 3542.84
Epoch 00232 | Time(s) 0.0037 | Loss -0.1607 | Accuracy 0.8000 | ETputs(KTEPS) 3544.28
Epoch 00233 | Time(s) 0.0037 | Loss 0.4532 | Accuracy 0.8000 | ETputs(KTEPS) 3545.13
Epoch 00234 | Time(s) 0.0037 | Loss -0.1425 | Accuracy 0.8000 | ETputs(KTEPS) 3546.17
Epoch 00235 | Time(s) 0.0037 | Loss -0.1637 | Accuracy 0.7940 | ETputs(KTEPS) 3547.51
Epoch 00236 | Time(s) 0.0037 | Loss 0.5028 | Accuracy 0.7940 | ETputs(KTEPS) 3540.41
Epoch 00237 | Time(s) 0.0037 | Loss 0.5145 | Accuracy 0.7980 | ETputs(KTEPS) 3541.86
Epoch 00238 | Time(s) 0.0037 | Loss -0.1417 | Accuracy 0.8080 | ETputs(KTEPS) 3543.22
Epoch 00239 | Time(s) 0.0037 | Loss 0.5277 | Accuracy 0.8080 | ETputs(KTEPS) 3544.65
accept_rate 0.7633333333333333
new_distr_dictionary 441 441
Epoch 00240 | Time(s) 0.0037 | Loss 0.4390 | Accuracy 0.8140 | ETputs(KTEPS) 3544.87
Epoch 00241 | Time(s) 0.0037 | Loss 0.4274 | Accuracy 0.7980 | ETputs(KTEPS) 3546.38
Epoch 00242 | Time(s) 0.0037 | Loss -0.1392 | Accuracy 0.8000 | ETputs(KTEPS) 3547.60
Epoch 00243 | Time(s) 0.0037 | Loss 0.4506 | Accuracy 0.7960 | ETputs(KTEPS) 3548.56
Epoch 00244 | Time(s) 0.0037 | Loss -0.1539 | Accuracy 0.7900 | ETputs(KTEPS) 3549.62
Epoch 00245 | Time(s) 0.0037 | Loss 0.5122 | Accuracy 0.7840 | ETputs(KTEPS) 3550.90
Epoch 00246 | Time(s) 0.0037 | Loss -0.1354 | Accuracy 0.7820 | ETputs(KTEPS) 3552.08
Epoch 00247 | Time(s) 0.0037 | Loss 0.5130 | Accuracy 0.7800 | ETputs(KTEPS) 3553.45
Epoch 00248 | Time(s) 0.0037 | Loss -0.1443 | Accuracy 0.7780 | ETputs(KTEPS) 3554.82
Epoch 00249 | Time(s) 0.0037 | Loss -0.1654 | Accuracy 0.7900 | ETputs(KTEPS) 3556.07
accept_rate 0.7376
new_distr_dictionary 441 441
Epoch 00250 | Time(s) 0.0037 | Loss -0.1419 | Accuracy 0.7940 | ETputs(KTEPS) 3555.16
Epoch 00251 | Time(s) 0.0037 | Loss -0.1601 | Accuracy 0.7860 | ETputs(KTEPS) 3553.46
Epoch 00252 | Time(s) 0.0037 | Loss 0.4841 | Accuracy 0.7860 | ETputs(KTEPS) 3552.87
Epoch 00253 | Time(s) 0.0037 | Loss 0.5952 | Accuracy 0.7900 | ETputs(KTEPS) 3552.36
Epoch 00254 | Time(s) 0.0037 | Loss 0.5275 | Accuracy 0.7880 | ETputs(KTEPS) 3551.64
Epoch 00255 | Time(s) 0.0037 | Loss -0.1521 | Accuracy 0.7820 | ETputs(KTEPS) 3550.78
Epoch 00256 | Time(s) 0.0037 | Loss 0.5767 | Accuracy 0.7840 | ETputs(KTEPS) 3550.05
Epoch 00257 | Time(s) 0.0037 | Loss 0.4934 | Accuracy 0.7760 | ETputs(KTEPS) 3549.62
Epoch 00258 | Time(s) 0.0037 | Loss 0.6133 | Accuracy 0.7780 | ETputs(KTEPS) 3548.98
Epoch 00259 | Time(s) 0.0037 | Loss -0.1558 | Accuracy 0.7800 | ETputs(KTEPS) 3548.32
accept_rate 0.7521333333333333
new_distr_dictionary 441 441
Epoch 00260 | Time(s) 0.0037 | Loss 0.4980 | Accuracy 0.7860 | ETputs(KTEPS) 3547.26
Epoch 00261 | Time(s) 0.0037 | Loss 0.5249 | Accuracy 0.8020 | ETputs(KTEPS) 3547.90
Epoch 00262 | Time(s) 0.0037 | Loss 0.5446 | Accuracy 0.8020 | ETputs(KTEPS) 3549.13
Epoch 00263 | Time(s) 0.0037 | Loss 0.5256 | Accuracy 0.8100 | ETputs(KTEPS) 3550.51