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stgcn_quantile_pems08_version3.log
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nohup: ignoring input
pdate shape is: (17856,)
./save/pems08_stgcn3_in12_out12_addtimeFalse_adjFalse_lr0.001_hc32_train0.6_val0.2_test0.2_seedNone_lossquantile_version3_note:stgcn_quantile_pems08 training started Mon Apr 8 16:52:23 2024
pdate shape is: (17856,)
data load........
initial data shape is: (17856, 170, 3)
train_mean shape : (170,)
train : (10695, 24, 170, 3)
val : (3566, 24, 170, 3)
test : (3561, 24, 170, 3)
Model Training Started ... Mon Apr 8 16:52:24 2024
TIMESTEP_IN, TIMESTEP_OUT 12 12
LOSS is : quantile
Epoch 0:
| 3 Horizon | RMSE: 28.374, 26.048; MAE: 18.061, 17.230; MAPE: 13.013, 11.301; Q10: 4.185, 3.971; Q50: 9.030, 8.615; Q90: 4.527, 4.259;
| 6 Horizon | RMSE: 31.268, 28.799; MAE: 19.851, 18.833; MAPE: 14.318, 12.185; Q10: 4.590, 4.321; Q50: 9.925, 9.417; Q90: 4.911, 4.608;
| 12 Horizon | RMSE: 36.792, 34.270; MAE: 24.000, 22.791; MAPE: 17.718, 14.804; Q10: 5.491, 5.145; Q50: 12.000, 11.395; Q90: 5.990, 5.677;
epoch 0 time used: 35 seconds train loss: 23.684 val loss: 6.61237 test loss: 6.262793
Epoch 1:
| 3 Horizon | RMSE: 26.668, 25.203; MAE: 17.380, 16.848; MAPE: 12.950, 11.495; Q10: 4.055, 3.852; Q50: 8.690, 8.424; Q90: 4.171, 4.023;
| 6 Horizon | RMSE: 29.259, 27.706; MAE: 19.013, 18.438; MAPE: 14.450, 12.534; Q10: 4.449, 4.197; Q50: 9.506, 9.219; Q90: 4.557, 4.407;
| 12 Horizon | RMSE: 33.928, 32.180; MAE: 22.166, 21.569; MAPE: 17.589, 14.838; Q10: 5.199, 4.860; Q50: 11.083, 10.785; Q90: 5.430, 5.285;
epoch 1 time used: 34 seconds train loss: 18.189 val loss: 6.240232 test loss: 6.016369
Epoch 2:
| 3 Horizon | RMSE: 28.280, 26.932; MAE: 18.764, 18.165; MAPE: 13.232, 11.545; Q10: 4.135, 3.964; Q50: 9.382, 9.083; Q90: 4.421, 4.256;
| 6 Horizon | RMSE: 30.230, 28.943; MAE: 19.963, 19.407; MAPE: 14.375, 12.377; Q10: 4.517, 4.351; Q50: 9.982, 9.704; Q90: 4.770, 4.612;
| 12 Horizon | RMSE: 34.640, 33.278; MAE: 23.017, 22.540; MAPE: 17.680, 15.007; Q10: 5.252, 5.026; Q50: 11.509, 11.270; Q90: 5.441, 5.321;
epoch 2 time used: 34 seconds train loss: 17.315 val loss: 6.541694 test loss: 6.350365
Epoch 3:
| 3 Horizon | RMSE: 25.744, 24.427; MAE: 16.577, 16.115; MAPE: 11.956, 10.428; Q10: 3.897, 3.742; Q50: 8.289, 8.058; Q90: 3.936, 3.795;
| 6 Horizon | RMSE: 28.014, 26.691; MAE: 17.924, 17.506; MAPE: 13.460, 11.583; Q10: 4.235, 4.055; Q50: 8.962, 8.753; Q90: 4.332, 4.210;
| 12 Horizon | RMSE: 32.623, 31.102; MAE: 21.039, 20.533; MAPE: 16.145, 13.606; Q10: 4.920, 4.678; Q50: 10.519, 10.267; Q90: 5.109, 5.022;
epoch 3 time used: 34 seconds train loss: 16.792 val loss: 5.92735 test loss: 5.75875
Epoch 4:
| 3 Horizon | RMSE: 25.383, 24.226; MAE: 16.294, 15.862; MAPE: 11.608, 9.953; Q10: 3.894, 3.736; Q50: 8.147, 7.931; Q90: 3.849, 3.700;
| 6 Horizon | RMSE: 27.619, 26.506; MAE: 17.551, 17.214; MAPE: 12.837, 10.925; Q10: 4.192, 4.021; Q50: 8.776, 8.607; Q90: 4.147, 4.055;
| 12 Horizon | RMSE: 31.827, 30.492; MAE: 20.349, 19.903; MAPE: 15.319, 12.502; Q10: 4.836, 4.586; Q50: 10.175, 9.952; Q90: 4.953, 4.888;
epoch 4 time used: 34 seconds train loss: 16.457 val loss: 5.777385 test loss: 5.624733
Epoch 5:
| 3 Horizon | RMSE: 25.529, 24.269; MAE: 16.387, 15.890; MAPE: 11.989, 10.207; Q10: 3.877, 3.717; Q50: 8.194, 7.945; Q90: 3.835, 3.706;
| 6 Horizon | RMSE: 27.587, 26.479; MAE: 17.536, 17.154; MAPE: 12.948, 10.928; Q10: 4.203, 4.044; Q50: 8.768, 8.577; Q90: 4.155, 4.036;
| 12 Horizon | RMSE: 31.992, 31.029; MAE: 20.518, 20.458; MAPE: 16.768, 14.076; Q10: 4.823, 4.650; Q50: 10.259, 10.229; Q90: 4.933, 4.903;
epoch 5 time used: 34 seconds train loss: 16.235 val loss: 5.802514 test loss: 5.668756
Epoch 6:
| 3 Horizon | RMSE: 25.912, 24.928; MAE: 16.755, 16.501; MAPE: 12.074, 10.411; Q10: 3.899, 3.767; Q50: 8.378, 8.251; Q90: 4.128, 4.075;
| 6 Horizon | RMSE: 27.896, 26.878; MAE: 17.778, 17.504; MAPE: 13.167, 11.181; Q10: 4.188, 4.027; Q50: 8.889, 8.752; Q90: 4.480, 4.473;
| 12 Horizon | RMSE: 31.879, 30.902; MAE: 20.448, 20.316; MAPE: 15.947, 13.322; Q10: 4.774, 4.579; Q50: 10.224, 10.158; Q90: 5.078, 5.101;
epoch 6 time used: 34 seconds train loss: 15.943 val loss: 5.908662 test loss: 5.819767
Epoch 7:
| 3 Horizon | RMSE: 25.377, 24.246; MAE: 16.286, 15.836; MAPE: 11.788, 9.993; Q10: 3.911, 3.736; Q50: 8.143, 7.918; Q90: 3.822, 3.700;
| 6 Horizon | RMSE: 27.716, 26.656; MAE: 17.635, 17.223; MAPE: 12.895, 10.796; Q10: 4.215, 4.060; Q50: 8.818, 8.612; Q90: 4.160, 4.044;
| 12 Horizon | RMSE: 31.614, 30.669; MAE: 20.089, 19.895; MAPE: 15.597, 12.817; Q10: 4.817, 4.672; Q50: 10.044, 9.948; Q90: 4.901, 4.833;
epoch 7 time used: 34 seconds train loss: 15.788 val loss: 5.760595 test loss: 5.625067
Epoch 8:
| 3 Horizon | RMSE: 25.471, 24.341; MAE: 16.321, 15.973; MAPE: 12.125, 10.109; Q10: 3.901, 3.764; Q50: 8.161, 7.986; Q90: 3.878, 3.774;
| 6 Horizon | RMSE: 27.842, 26.709; MAE: 17.618, 17.311; MAPE: 13.468, 11.114; Q10: 4.231, 4.085; Q50: 8.809, 8.655; Q90: 4.286, 4.207;
| 12 Horizon | RMSE: 31.738, 30.669; MAE: 20.140, 19.960; MAPE: 15.794, 12.721; Q10: 4.797, 4.655; Q50: 10.070, 9.980; Q90: 5.047, 5.001;
epoch 8 time used: 34 seconds train loss: 15.631 val loss: 5.810837 test loss: 5.69738
Epoch 9:
| 3 Horizon | RMSE: 25.612, 24.569; MAE: 16.595, 16.267; MAPE: 11.825, 10.036; Q10: 3.904, 3.776; Q50: 8.297, 8.134; Q90: 3.853, 3.739;
| 6 Horizon | RMSE: 27.844, 26.953; MAE: 17.744, 17.561; MAPE: 13.084, 10.923; Q10: 4.194, 4.082; Q50: 8.872, 8.781; Q90: 4.200, 4.116;
| 12 Horizon | RMSE: 32.062, 31.379; MAE: 20.575, 20.667; MAPE: 16.725, 13.772; Q10: 4.847, 4.725; Q50: 10.288, 10.334; Q90: 5.072, 5.085;
epoch 9 time used: 34 seconds train loss: 15.505 val loss: 5.827087 test loss: 5.742483
Epoch 10:
| 3 Horizon | RMSE: 25.562, 24.212; MAE: 16.561, 16.040; MAPE: 13.605, 11.079; Q10: 3.963, 3.765; Q50: 8.281, 8.020; Q90: 3.842, 3.701;
| 6 Horizon | RMSE: 27.428, 26.268; MAE: 17.397, 17.049; MAPE: 13.725, 11.000; Q10: 4.206, 4.036; Q50: 8.699, 8.525; Q90: 4.160, 4.058;
| 12 Horizon | RMSE: 31.443, 30.350; MAE: 20.050, 19.847; MAPE: 15.936, 12.493; Q10: 4.757, 4.576; Q50: 10.025, 9.923; Q90: 5.060, 5.005;
epoch 10 time used: 34 seconds train loss: 15.368 val loss: 5.788693 test loss: 5.635527
Epoch 11:
| 3 Horizon | RMSE: 25.427, 24.184; MAE: 16.372, 15.893; MAPE: 12.168, 10.190; Q10: 3.952, 3.737; Q50: 8.186, 7.947; Q90: 3.869, 3.735;
| 6 Horizon | RMSE: 27.618, 26.461; MAE: 17.498, 17.122; MAPE: 13.327, 11.003; Q10: 4.208, 4.034; Q50: 8.749, 8.561; Q90: 4.206, 4.107;
| 12 Horizon | RMSE: 31.655, 30.655; MAE: 20.051, 19.925; MAPE: 16.535, 13.375; Q10: 4.822, 4.659; Q50: 10.025, 9.962; Q90: 4.921, 4.898;
epoch 11 time used: 34 seconds train loss: 15.255 val loss: 5.785087 test loss: 5.648779
Epoch 12:
| 3 Horizon | RMSE: 25.321, 24.030; MAE: 16.217, 15.694; MAPE: 12.071, 9.800; Q10: 3.847, 3.655; Q50: 8.109, 7.847; Q90: 3.824, 3.698;
| 6 Horizon | RMSE: 27.489, 26.208; MAE: 17.413, 16.939; MAPE: 13.178, 10.552; Q10: 4.147, 3.958; Q50: 8.707, 8.469; Q90: 4.174, 4.061;
| 12 Horizon | RMSE: 31.377, 30.177; MAE: 19.941, 19.647; MAPE: 15.577, 12.110; Q10: 4.711, 4.524; Q50: 9.971, 9.823; Q90: 5.030, 4.960;
epoch 12 time used: 34 seconds train loss: 15.224 val loss: 5.726978 test loss: 5.564477
Epoch 13:
| 3 Horizon | RMSE: 25.416, 23.988; MAE: 16.252, 15.684; MAPE: 12.945, 10.326; Q10: 3.971, 3.749; Q50: 8.126, 7.842; Q90: 3.793, 3.659;
| 6 Horizon | RMSE: 27.449, 26.163; MAE: 17.301, 16.878; MAPE: 13.796, 10.907; Q10: 4.198, 4.009; Q50: 8.650, 8.439; Q90: 4.150, 4.034;
| 12 Horizon | RMSE: 31.172, 30.073; MAE: 19.733, 19.548; MAPE: 16.258, 12.563; Q10: 4.705, 4.521; Q50: 9.866, 9.774; Q90: 4.914, 4.838;
epoch 13 time used: 34 seconds train loss: 15.097 val loss: 5.731334 test loss: 5.570101
Epoch 14:
| 3 Horizon | RMSE: 25.515, 24.081; MAE: 16.297, 15.718; MAPE: 12.770, 10.030; Q10: 3.999, 3.744; Q50: 8.149, 7.859; Q90: 3.849, 3.704;
| 6 Horizon | RMSE: 27.887, 26.466; MAE: 17.651, 17.164; MAPE: 14.170, 11.145; Q10: 4.366, 4.123; Q50: 8.825, 8.582; Q90: 4.209, 4.071;
| 12 Horizon | RMSE: 31.519, 30.186; MAE: 20.033, 19.663; MAPE: 16.308, 12.426; Q10: 4.799, 4.567; Q50: 10.016, 9.831; Q90: 5.002, 4.912;
epoch 14 time used: 34 seconds train loss: 15.015 val loss: 5.801595 test loss: 5.605215
Epoch 15:
| 3 Horizon | RMSE: 25.642, 24.294; MAE: 16.311, 15.875; MAPE: 13.151, 10.133; Q10: 3.885, 3.671; Q50: 8.156, 7.938; Q90: 3.988, 3.877;
| 6 Horizon | RMSE: 28.004, 26.661; MAE: 17.608, 17.237; MAPE: 14.372, 11.031; Q10: 4.231, 4.019; Q50: 8.804, 8.619; Q90: 4.355, 4.254;
| 12 Horizon | RMSE: 31.899, 30.519; MAE: 20.091, 19.767; MAPE: 16.742, 12.478; Q10: 4.765, 4.543; Q50: 10.046, 9.884; Q90: 5.184, 5.104;
epoch 15 time used: 34 seconds train loss: 14.908 val loss: 5.831691 test loss: 5.67516
Epoch 16:
| 3 Horizon | RMSE: 25.544, 24.162; MAE: 16.242, 15.770; MAPE: 12.744, 9.895; Q10: 3.859, 3.643; Q50: 8.121, 7.885; Q90: 3.929, 3.820;
| 6 Horizon | RMSE: 27.750, 26.361; MAE: 17.402, 16.966; MAPE: 13.713, 10.573; Q10: 4.171, 3.964; Q50: 8.701, 8.483; Q90: 4.281, 4.168;
| 12 Horizon | RMSE: 31.812, 30.447; MAE: 20.137, 19.747; MAPE: 15.977, 11.965; Q10: 4.694, 4.479; Q50: 10.069, 9.874; Q90: 5.262, 5.179;
epoch 16 time used: 34 seconds train loss: 14.849 val loss: 5.76481 test loss: 5.59384
Epoch 17:
| 3 Horizon | RMSE: 25.738, 24.121; MAE: 16.268, 15.684; MAPE: 13.245, 10.179; Q10: 4.032, 3.762; Q50: 8.134, 7.842; Q90: 3.840, 3.702;
| 6 Horizon | RMSE: 27.969, 26.415; MAE: 17.434, 16.924; MAPE: 14.226, 10.921; Q10: 4.236, 4.007; Q50: 8.717, 8.462; Q90: 4.189, 4.088;
| 12 Horizon | RMSE: 31.579, 30.185; MAE: 19.765, 19.451; MAPE: 16.540, 12.340; Q10: 4.748, 4.536; Q50: 9.883, 9.726; Q90: 4.983, 4.910;
epoch 17 time used: 34 seconds train loss: 14.795 val loss: 5.75603 test loss: 5.573303
Epoch 18:
| 3 Horizon | RMSE: 25.742, 24.185; MAE: 16.277, 15.729; MAPE: 13.542, 9.955; Q10: 3.913, 3.659; Q50: 8.139, 7.865; Q90: 3.854, 3.733;
| 6 Horizon | RMSE: 28.002, 26.489; MAE: 17.499, 17.085; MAPE: 14.884, 11.085; Q10: 4.300, 4.062; Q50: 8.750, 8.542; Q90: 4.197, 4.078;
| 12 Horizon | RMSE: 31.969, 30.500; MAE: 20.048, 19.725; MAPE: 16.962, 12.346; Q10: 4.747, 4.500; Q50: 10.024, 9.862; Q90: 5.115, 5.070;
epoch 18 time used: 34 seconds train loss: 14.749 val loss: 5.788479 test loss: 5.606447
Epoch 19:
| 3 Horizon | RMSE: 25.786, 24.209; MAE: 16.300, 15.746; MAPE: 13.460, 10.203; Q10: 3.985, 3.722; Q50: 8.150, 7.873; Q90: 3.877, 3.762;
| 6 Horizon | RMSE: 28.112, 26.653; MAE: 17.688, 17.332; MAPE: 14.946, 11.423; Q10: 4.265, 4.039; Q50: 8.844, 8.666; Q90: 4.312, 4.228;
| 12 Horizon | RMSE: 31.629, 30.135; MAE: 19.932, 19.616; MAPE: 17.115, 12.753; Q10: 4.831, 4.613; Q50: 9.966, 9.808; Q90: 5.069, 4.982;
epoch 19 time used: 34 seconds train loss: 14.667 val loss: 5.831777 test loss: 5.659785
Epoch 20:
| 3 Horizon | RMSE: 25.699, 24.003; MAE: 16.124, 15.556; MAPE: 13.582, 9.949; Q10: 3.995, 3.699; Q50: 8.062, 7.778; Q90: 3.805, 3.673;
| 6 Horizon | RMSE: 27.902, 26.203; MAE: 17.292, 16.774; MAPE: 14.589, 10.677; Q10: 4.286, 3.998; Q50: 8.646, 8.387; Q90: 4.153, 4.034;
| 12 Horizon | RMSE: 31.404, 29.657; MAE: 19.557, 19.115; MAPE: 16.919, 12.237; Q10: 4.748, 4.474; Q50: 9.779, 9.557; Q90: 4.895, 4.783;
epoch 20 time used: 34 seconds train loss: 14.656 val loss: 5.729386 test loss: 5.519445
Epoch 21:
| 3 Horizon | RMSE: 26.157, 24.126; MAE: 16.540, 15.752; MAPE: 14.576, 10.063; Q10: 3.979, 3.671; Q50: 8.270, 7.876; Q90: 3.868, 3.700;
| 6 Horizon | RMSE: 28.499, 26.423; MAE: 17.813, 17.051; MAPE: 15.636, 10.864; Q10: 4.416, 4.080; Q50: 8.906, 8.525; Q90: 4.263, 4.092;
| 12 Horizon | RMSE: 31.965, 29.985; MAE: 20.042, 19.428; MAPE: 17.642, 12.216; Q10: 4.871, 4.583; Q50: 10.021, 9.714; Q90: 5.158, 4.975;
epoch 21 time used: 34 seconds train loss: 14.583 val loss: 5.868514 test loss: 5.595004
Epoch 22:
| 3 Horizon | RMSE: 25.950, 24.278; MAE: 16.310, 15.860; MAPE: 14.421, 10.590; Q10: 4.005, 3.744; Q50: 8.155, 7.930; Q90: 3.845, 3.743;
| 6 Horizon | RMSE: 28.424, 26.892; MAE: 17.649, 17.281; MAPE: 15.036, 10.970; Q10: 4.276, 4.047; Q50: 8.825, 8.640; Q90: 4.279, 4.218;
| 12 Horizon | RMSE: 32.309, 31.045; MAE: 20.120, 19.978; MAPE: 17.538, 12.964; Q10: 4.919, 4.796; Q50: 10.060, 9.989; Q90: 5.021, 4.974;
Early stopping at epoch: 22
Model stgcn3 Best Results:
Epoch 12:
= = Horizon 3 = = = = Horizon 6 = = = = Horizon 12 = =
RMSE MAE MAPE Q10 Q50 Q90 RMSE MAE MAPE Q10 Q50 Q90 RMSE MAE MAPE Q10 Q50 Q90
24.030 15.694 9.800 3.655 7.847 3.698 26.208 16.939 10.552 3.958 8.469 4.061 30.177 19.647 12.110 4.524 9.823 4.960
Model Training Ended ... Mon Apr 8 17:05:48 2024