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STEP_PEMS-BAY.log
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2022-10-09 10:36:43,580 - easytorch-training - INFO - Initializing training.
2022-10-09 10:36:43,580 - easytorch-training - INFO - Set clip grad, param: {'max_norm': 3.0}
2022-10-09 10:36:43,580 - easytorch-training - INFO - Building training data loader.
2022-10-09 10:36:43,937 - easytorch-training - INFO - Set optim: Adam (
Parameter Group 0
amsgrad: False
betas: (0.9, 0.999)
eps: 1e-08
lr: 0.001
weight_decay: 1e-05
)
2022-10-09 10:36:43,938 - easytorch-training - INFO - Set lr_scheduler: <torch.optim.lr_scheduler.MultiStepLR object at 0x7f882421ad00>
2022-10-09 10:36:43,939 - easytorch-training - INFO - Initializing validation.
2022-10-09 10:36:43,939 - easytorch-training - INFO - Building val data loader.
2022-10-09 10:36:44,481 - easytorch-training - INFO - Epoch 1 / 100
2022-10-09 10:51:07,147 - easytorch-training - INFO - Result <train>: [train_time: 862.67 (s), lr: 1.00e-03, train_MAE: 1.7766, train_RMSE: 3.8232, train_MAPE: 0.0404]
2022-10-09 10:51:07,151 - easytorch-training - INFO - Start validation.
2022-10-09 10:53:47,272 - easytorch-training - INFO - Result <val>: [val_time: 160.12 (s), val_MAE: 1.6611, val_RMSE: 3.3650, val_MAPE: 0.0388]
2022-10-09 10:53:48,827 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 10:59:08,729 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8793, Test RMSE: 1.6270, Test MAPE: 0.0170
2022-10-09 10:59:08,732 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1490, Test RMSE: 2.3231, Test MAPE: 0.0234
2022-10-09 10:59:08,734 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3373, Test RMSE: 2.8486, Test MAPE: 0.0284
2022-10-09 10:59:08,737 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4761, Test RMSE: 3.2437, Test MAPE: 0.0324
2022-10-09 10:59:08,739 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5768, Test RMSE: 3.5334, Test MAPE: 0.0353
2022-10-09 10:59:08,741 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6575, Test RMSE: 3.7467, Test MAPE: 0.0378
2022-10-09 10:59:08,743 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.7198, Test RMSE: 3.9095, Test MAPE: 0.0398
2022-10-09 10:59:08,746 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7703, Test RMSE: 4.0430, Test MAPE: 0.0417
2022-10-09 10:59:08,748 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.8118, Test RMSE: 4.1462, Test MAPE: 0.0430
2022-10-09 10:59:08,750 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.8479, Test RMSE: 4.2391, Test MAPE: 0.0443
2022-10-09 10:59:08,752 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8856, Test RMSE: 4.3189, Test MAPE: 0.0454
2022-10-09 10:59:08,755 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.9195, Test RMSE: 4.3928, Test MAPE: 0.0465
2022-10-09 10:59:08,775 - easytorch-training - INFO - Result <test>: [test_time: 319.95 (s), test_MAE: 1.5859, test_RMSE: 3.6279, test_MAPE: 0.0363]
2022-10-09 10:59:10,311 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_001.pt saved
2022-10-09 10:59:10,312 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:59:47
2022-10-09 10:59:10,312 - easytorch-training - INFO - Epoch 2 / 100
2022-10-09 11:13:36,371 - easytorch-training - INFO - Result <train>: [train_time: 866.06 (s), lr: 5.00e-04, train_MAE: 1.5818, train_RMSE: 3.5045, train_MAPE: 0.0351]
2022-10-09 11:13:36,373 - easytorch-training - INFO - Start validation.
2022-10-09 11:16:16,487 - easytorch-training - INFO - Result <val>: [val_time: 160.11 (s), val_MAE: 1.6500, val_RMSE: 3.3308, val_MAPE: 0.0392]
2022-10-09 11:16:18,384 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 11:21:36,804 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8762, Test RMSE: 1.6161, Test MAPE: 0.0173
2022-10-09 11:21:36,806 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1492, Test RMSE: 2.3040, Test MAPE: 0.0237
2022-10-09 11:21:36,808 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3392, Test RMSE: 2.8329, Test MAPE: 0.0288
2022-10-09 11:21:36,811 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4782, Test RMSE: 3.2269, Test MAPE: 0.0331
2022-10-09 11:21:36,813 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5768, Test RMSE: 3.5088, Test MAPE: 0.0361
2022-10-09 11:21:36,815 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6546, Test RMSE: 3.7172, Test MAPE: 0.0385
2022-10-09 11:21:36,817 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.7126, Test RMSE: 3.8834, Test MAPE: 0.0403
2022-10-09 11:21:36,819 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7637, Test RMSE: 4.0182, Test MAPE: 0.0421
2022-10-09 11:21:36,822 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.8036, Test RMSE: 4.1279, Test MAPE: 0.0434
2022-10-09 11:21:36,824 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.8360, Test RMSE: 4.2164, Test MAPE: 0.0444
2022-10-09 11:21:36,826 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8656, Test RMSE: 4.2892, Test MAPE: 0.0453
2022-10-09 11:21:36,828 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8955, Test RMSE: 4.3597, Test MAPE: 0.0462
2022-10-09 11:21:36,849 - easytorch-training - INFO - Result <test>: [test_time: 318.46 (s), test_MAE: 1.5793, test_RMSE: 3.6048, test_MAPE: 0.0366]
2022-10-09 11:21:38,420 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_002.pt saved
2022-10-09 11:21:38,421 - easytorch-training - INFO - The estimated training finish time is 2022-10-11 00:01:41
2022-10-09 11:21:38,421 - easytorch-training - INFO - Epoch 3 / 100
2022-10-09 11:36:01,779 - easytorch-training - INFO - Result <train>: [train_time: 863.36 (s), lr: 5.00e-04, train_MAE: 1.5685, train_RMSE: 3.4846, train_MAPE: 0.0346]
2022-10-09 11:36:01,781 - easytorch-training - INFO - Start validation.
2022-10-09 11:38:41,129 - easytorch-training - INFO - Result <val>: [val_time: 159.35 (s), val_MAE: 1.6374, val_RMSE: 3.3620, val_MAPE: 0.0380]
2022-10-09 11:38:43,038 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 11:44:02,923 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8630, Test RMSE: 1.6030, Test MAPE: 0.0165
2022-10-09 11:44:02,926 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1334, Test RMSE: 2.3005, Test MAPE: 0.0228
2022-10-09 11:44:02,929 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3178, Test RMSE: 2.8333, Test MAPE: 0.0276
2022-10-09 11:44:02,931 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4575, Test RMSE: 3.2355, Test MAPE: 0.0316
2022-10-09 11:44:02,934 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5573, Test RMSE: 3.5274, Test MAPE: 0.0347
2022-10-09 11:44:02,936 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6358, Test RMSE: 3.7486, Test MAPE: 0.0372
2022-10-09 11:44:02,938 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6966, Test RMSE: 3.9254, Test MAPE: 0.0393
2022-10-09 11:44:02,940 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7460, Test RMSE: 4.0564, Test MAPE: 0.0411
2022-10-09 11:44:02,943 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7880, Test RMSE: 4.1652, Test MAPE: 0.0425
2022-10-09 11:44:02,945 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.8225, Test RMSE: 4.2527, Test MAPE: 0.0436
2022-10-09 11:44:02,947 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8548, Test RMSE: 4.3303, Test MAPE: 0.0444
2022-10-09 11:44:02,949 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8865, Test RMSE: 4.4002, Test MAPE: 0.0453
2022-10-09 11:44:02,970 - easytorch-training - INFO - Result <test>: [test_time: 319.92 (s), test_MAE: 1.5633, test_RMSE: 3.6316, test_MAPE: 0.0356]
2022-10-09 11:44:04,528 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_003.pt saved
2022-10-09 11:44:04,529 - easytorch-training - INFO - The estimated training finish time is 2022-10-11 00:01:12
2022-10-09 11:44:04,529 - easytorch-training - INFO - Epoch 4 / 100
2022-10-09 11:58:24,971 - easytorch-training - INFO - Result <train>: [train_time: 860.44 (s), lr: 5.00e-04, train_MAE: 1.5635, train_RMSE: 3.4739, train_MAPE: 0.0345]
2022-10-09 11:58:24,974 - easytorch-training - INFO - Start validation.
2022-10-09 12:01:04,634 - easytorch-training - INFO - Result <val>: [val_time: 159.66 (s), val_MAE: 1.6285, val_RMSE: 3.3141, val_MAPE: 0.0381]
2022-10-09 12:01:06,550 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 12:06:25,411 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8731, Test RMSE: 1.5932, Test MAPE: 0.0174
2022-10-09 12:06:25,414 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1417, Test RMSE: 2.2842, Test MAPE: 0.0237
2022-10-09 12:06:25,416 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3273, Test RMSE: 2.8185, Test MAPE: 0.0285
2022-10-09 12:06:25,419 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4633, Test RMSE: 3.2232, Test MAPE: 0.0324
2022-10-09 12:06:25,421 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5639, Test RMSE: 3.5144, Test MAPE: 0.0355
2022-10-09 12:06:25,423 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6416, Test RMSE: 3.7384, Test MAPE: 0.0379
2022-10-09 12:06:25,426 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.7011, Test RMSE: 3.9103, Test MAPE: 0.0399
2022-10-09 12:06:25,428 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7481, Test RMSE: 4.0410, Test MAPE: 0.0414
2022-10-09 12:06:25,430 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7866, Test RMSE: 4.1359, Test MAPE: 0.0426
2022-10-09 12:06:25,432 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.8175, Test RMSE: 4.2160, Test MAPE: 0.0435
2022-10-09 12:06:25,434 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8440, Test RMSE: 4.2836, Test MAPE: 0.0442
2022-10-09 12:06:25,437 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8707, Test RMSE: 4.3466, Test MAPE: 0.0449
2022-10-09 12:06:25,457 - easytorch-training - INFO - Result <test>: [test_time: 318.91 (s), test_MAE: 1.5649, test_RMSE: 3.6074, test_MAPE: 0.0360]
2022-10-09 12:06:26,997 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_004.pt saved
2022-10-09 12:06:26,997 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:59:27
2022-10-09 12:06:26,997 - easytorch-training - INFO - Epoch 5 / 100
2022-10-09 12:20:42,349 - easytorch-training - INFO - Result <train>: [train_time: 855.35 (s), lr: 5.00e-04, train_MAE: 1.5588, train_RMSE: 3.4669, train_MAPE: 0.0344]
2022-10-09 12:20:42,351 - easytorch-training - INFO - Start validation.
2022-10-09 12:23:22,130 - easytorch-training - INFO - Result <val>: [val_time: 159.78 (s), val_MAE: 1.6246, val_RMSE: 3.2881, val_MAPE: 0.0373]
2022-10-09 12:23:24,034 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 12:28:41,877 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8637, Test RMSE: 1.5673, Test MAPE: 0.0165
2022-10-09 12:28:41,880 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1332, Test RMSE: 2.2624, Test MAPE: 0.0228
2022-10-09 12:28:41,882 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3157, Test RMSE: 2.7892, Test MAPE: 0.0275
2022-10-09 12:28:41,885 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4527, Test RMSE: 3.1775, Test MAPE: 0.0312
2022-10-09 12:28:41,887 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5548, Test RMSE: 3.4640, Test MAPE: 0.0344
2022-10-09 12:28:41,889 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6336, Test RMSE: 3.6842, Test MAPE: 0.0368
2022-10-09 12:28:41,892 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6947, Test RMSE: 3.8508, Test MAPE: 0.0388
2022-10-09 12:28:41,894 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7482, Test RMSE: 3.9796, Test MAPE: 0.0406
2022-10-09 12:28:41,896 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7898, Test RMSE: 4.0881, Test MAPE: 0.0420
2022-10-09 12:28:41,898 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.8210, Test RMSE: 4.1744, Test MAPE: 0.0432
2022-10-09 12:28:41,900 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8478, Test RMSE: 4.2525, Test MAPE: 0.0441
2022-10-09 12:28:41,903 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8760, Test RMSE: 4.3264, Test MAPE: 0.0449
2022-10-09 12:28:41,923 - easytorch-training - INFO - Result <test>: [test_time: 317.89 (s), test_MAE: 1.5609, test_RMSE: 3.5664, test_MAPE: 0.0352]
2022-10-09 12:28:43,455 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_005.pt saved
2022-10-09 12:28:43,455 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:56:23
2022-10-09 12:28:43,455 - easytorch-training - INFO - Epoch 6 / 100
2022-10-09 12:42:59,699 - easytorch-training - INFO - Result <train>: [train_time: 856.24 (s), lr: 5.00e-04, train_MAE: 1.5488, train_RMSE: 3.4503, train_MAPE: 0.0341]
2022-10-09 12:42:59,701 - easytorch-training - INFO - Start validation.
2022-10-09 12:45:39,342 - easytorch-training - INFO - Result <val>: [val_time: 159.64 (s), val_MAE: 1.6024, val_RMSE: 3.2874, val_MAPE: 0.0369]
2022-10-09 12:45:41,251 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 12:50:59,039 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8512, Test RMSE: 1.5669, Test MAPE: 0.0163
2022-10-09 12:50:59,042 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1199, Test RMSE: 2.2635, Test MAPE: 0.0225
2022-10-09 12:50:59,044 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3038, Test RMSE: 2.7902, Test MAPE: 0.0273
2022-10-09 12:50:59,047 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4374, Test RMSE: 3.1806, Test MAPE: 0.0310
2022-10-09 12:50:59,049 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5377, Test RMSE: 3.4670, Test MAPE: 0.0343
2022-10-09 12:50:59,051 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6129, Test RMSE: 3.6903, Test MAPE: 0.0367
2022-10-09 12:50:59,054 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6715, Test RMSE: 3.8559, Test MAPE: 0.0386
2022-10-09 12:50:59,056 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7217, Test RMSE: 3.9889, Test MAPE: 0.0402
2022-10-09 12:50:59,058 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7610, Test RMSE: 4.0911, Test MAPE: 0.0413
2022-10-09 12:50:59,060 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7950, Test RMSE: 4.1780, Test MAPE: 0.0423
2022-10-09 12:50:59,062 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8250, Test RMSE: 4.2545, Test MAPE: 0.0430
2022-10-09 12:50:59,065 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8550, Test RMSE: 4.3293, Test MAPE: 0.0437
2022-10-09 12:50:59,085 - easytorch-training - INFO - Result <test>: [test_time: 317.83 (s), test_MAE: 1.5410, test_RMSE: 3.5700, test_MAPE: 0.0348]
2022-10-09 12:51:00,621 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_006.pt saved
2022-10-09 12:51:00,621 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:54:33
2022-10-09 12:51:00,621 - easytorch-training - INFO - Epoch 7 / 100
2022-10-09 13:05:16,852 - easytorch-training - INFO - Result <train>: [train_time: 856.23 (s), lr: 5.00e-04, train_MAE: 1.5336, train_RMSE: 3.4194, train_MAPE: 0.0337]
2022-10-09 13:05:16,854 - easytorch-training - INFO - Start validation.
2022-10-09 13:07:55,486 - easytorch-training - INFO - Result <val>: [val_time: 158.63 (s), val_MAE: 1.6138, val_RMSE: 3.2915, val_MAPE: 0.0364]
2022-10-09 13:13:14,172 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8550, Test RMSE: 1.5686, Test MAPE: 0.0164
2022-10-09 13:13:14,175 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1242, Test RMSE: 2.2773, Test MAPE: 0.0226
2022-10-09 13:13:14,177 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3079, Test RMSE: 2.8098, Test MAPE: 0.0271
2022-10-09 13:13:14,179 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4447, Test RMSE: 3.2076, Test MAPE: 0.0307
2022-10-09 13:13:14,182 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5480, Test RMSE: 3.4995, Test MAPE: 0.0337
2022-10-09 13:13:14,184 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6261, Test RMSE: 3.7172, Test MAPE: 0.0360
2022-10-09 13:13:14,186 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6889, Test RMSE: 3.8819, Test MAPE: 0.0379
2022-10-09 13:13:14,189 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7377, Test RMSE: 4.0054, Test MAPE: 0.0395
2022-10-09 13:13:14,191 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7793, Test RMSE: 4.1052, Test MAPE: 0.0408
2022-10-09 13:13:14,193 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.8087, Test RMSE: 4.1803, Test MAPE: 0.0417
2022-10-09 13:13:14,195 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8372, Test RMSE: 4.2569, Test MAPE: 0.0426
2022-10-09 13:13:14,197 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8655, Test RMSE: 4.3299, Test MAPE: 0.0434
2022-10-09 13:13:14,218 - easytorch-training - INFO - Result <test>: [test_time: 318.73 (s), test_MAE: 1.5519, test_RMSE: 3.5847, test_MAPE: 0.0344]
2022-10-09 13:13:15,753 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_007.pt saved
2022-10-09 13:13:15,753 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:52:45
2022-10-09 13:13:15,753 - easytorch-training - INFO - Epoch 8 / 100
2022-10-09 13:27:30,490 - easytorch-training - INFO - Result <train>: [train_time: 854.74 (s), lr: 5.00e-04, train_MAE: 1.5302, train_RMSE: 3.4090, train_MAPE: 0.0335]
2022-10-09 13:27:30,492 - easytorch-training - INFO - Start validation.
2022-10-09 13:30:09,288 - easytorch-training - INFO - Result <val>: [val_time: 158.80 (s), val_MAE: 1.6123, val_RMSE: 3.2787, val_MAPE: 0.0378]
2022-10-09 13:35:29,491 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8911, Test RMSE: 1.6133, Test MAPE: 0.0184
2022-10-09 13:35:29,494 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1496, Test RMSE: 2.2891, Test MAPE: 0.0243
2022-10-09 13:35:29,497 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3286, Test RMSE: 2.8073, Test MAPE: 0.0289
2022-10-09 13:35:29,499 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4548, Test RMSE: 3.1885, Test MAPE: 0.0324
2022-10-09 13:35:29,502 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5481, Test RMSE: 3.4746, Test MAPE: 0.0352
2022-10-09 13:35:29,504 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6201, Test RMSE: 3.6895, Test MAPE: 0.0374
2022-10-09 13:35:29,506 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6782, Test RMSE: 3.8559, Test MAPE: 0.0392
2022-10-09 13:35:29,509 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7256, Test RMSE: 3.9867, Test MAPE: 0.0406
2022-10-09 13:35:29,511 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7666, Test RMSE: 4.0913, Test MAPE: 0.0420
2022-10-09 13:35:29,513 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7993, Test RMSE: 4.1792, Test MAPE: 0.0431
2022-10-09 13:35:29,515 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8266, Test RMSE: 4.2548, Test MAPE: 0.0438
2022-10-09 13:35:29,518 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8557, Test RMSE: 4.3229, Test MAPE: 0.0445
2022-10-09 13:35:29,538 - easytorch-training - INFO - Result <test>: [test_time: 320.25 (s), test_MAE: 1.5537, test_RMSE: 3.5746, test_MAPE: 0.0358]
2022-10-09 13:35:31,090 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_008.pt saved
2022-10-09 13:35:31,091 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:51:27
2022-10-09 13:35:31,091 - easytorch-training - INFO - Epoch 9 / 100
2022-10-09 13:49:46,172 - easytorch-training - INFO - Result <train>: [train_time: 855.08 (s), lr: 5.00e-04, train_MAE: 1.5263, train_RMSE: 3.4023, train_MAPE: 0.0335]
2022-10-09 13:49:46,175 - easytorch-training - INFO - Start validation.
2022-10-09 13:52:25,945 - easytorch-training - INFO - Result <val>: [val_time: 159.77 (s), val_MAE: 1.5931, val_RMSE: 3.2660, val_MAPE: 0.0364]
2022-10-09 13:52:27,852 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 13:57:45,718 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8549, Test RMSE: 1.5687, Test MAPE: 0.0164
2022-10-09 13:57:45,721 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1196, Test RMSE: 2.2653, Test MAPE: 0.0224
2022-10-09 13:57:45,724 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2989, Test RMSE: 2.7842, Test MAPE: 0.0270
2022-10-09 13:57:45,726 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4315, Test RMSE: 3.1744, Test MAPE: 0.0306
2022-10-09 13:57:45,729 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5289, Test RMSE: 3.4580, Test MAPE: 0.0336
2022-10-09 13:57:45,731 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6039, Test RMSE: 3.6703, Test MAPE: 0.0360
2022-10-09 13:57:45,733 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6638, Test RMSE: 3.8332, Test MAPE: 0.0381
2022-10-09 13:57:45,736 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7132, Test RMSE: 3.9636, Test MAPE: 0.0397
2022-10-09 13:57:45,738 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7529, Test RMSE: 4.0668, Test MAPE: 0.0411
2022-10-09 13:57:45,740 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7860, Test RMSE: 4.1538, Test MAPE: 0.0423
2022-10-09 13:57:45,742 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8130, Test RMSE: 4.2277, Test MAPE: 0.0431
2022-10-09 13:57:45,745 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8409, Test RMSE: 4.2931, Test MAPE: 0.0440
2022-10-09 13:57:45,765 - easytorch-training - INFO - Result <test>: [test_time: 317.91 (s), test_MAE: 1.5340, test_RMSE: 3.5514, test_MAPE: 0.0345]
2022-10-09 13:57:47,306 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_009.pt saved
2022-10-09 13:57:47,306 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:50:35
2022-10-09 13:57:47,306 - easytorch-training - INFO - Epoch 10 / 100
2022-10-09 14:12:02,726 - easytorch-training - INFO - Result <train>: [train_time: 855.42 (s), lr: 5.00e-04, train_MAE: 1.5283, train_RMSE: 3.4103, train_MAPE: 0.0335]
2022-10-09 14:12:02,728 - easytorch-training - INFO - Start validation.
2022-10-09 14:14:42,559 - easytorch-training - INFO - Result <val>: [val_time: 159.83 (s), val_MAE: 1.5900, val_RMSE: 3.2568, val_MAPE: 0.0367]
2022-10-09 14:14:44,484 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 14:20:02,135 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8537, Test RMSE: 1.5643, Test MAPE: 0.0164
2022-10-09 14:20:02,138 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1195, Test RMSE: 2.2528, Test MAPE: 0.0225
2022-10-09 14:20:02,141 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3009, Test RMSE: 2.7744, Test MAPE: 0.0271
2022-10-09 14:20:02,143 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4336, Test RMSE: 3.1669, Test MAPE: 0.0308
2022-10-09 14:20:02,146 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5285, Test RMSE: 3.4529, Test MAPE: 0.0336
2022-10-09 14:20:02,148 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6026, Test RMSE: 3.6635, Test MAPE: 0.0360
2022-10-09 14:20:02,150 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6623, Test RMSE: 3.8275, Test MAPE: 0.0381
2022-10-09 14:20:02,153 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7102, Test RMSE: 3.9533, Test MAPE: 0.0398
2022-10-09 14:20:02,155 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7500, Test RMSE: 4.0540, Test MAPE: 0.0414
2022-10-09 14:20:02,157 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7818, Test RMSE: 4.1357, Test MAPE: 0.0425
2022-10-09 14:20:02,159 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8113, Test RMSE: 4.2085, Test MAPE: 0.0437
2022-10-09 14:20:02,162 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8402, Test RMSE: 4.2759, Test MAPE: 0.0446
2022-10-09 14:20:02,182 - easytorch-training - INFO - Result <test>: [test_time: 317.70 (s), test_MAE: 1.5329, test_RMSE: 3.5403, test_MAPE: 0.0347]
2022-10-09 14:20:03,739 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_010.pt saved
2022-10-09 14:20:04,399 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:50:03
2022-10-09 14:20:04,399 - easytorch-training - INFO - Epoch 11 / 100
2022-10-09 14:34:18,898 - easytorch-training - INFO - Result <train>: [train_time: 854.50 (s), lr: 5.00e-04, train_MAE: 1.5175, train_RMSE: 3.3807, train_MAPE: 0.0332]
2022-10-09 14:34:18,900 - easytorch-training - INFO - Start validation.
2022-10-09 14:36:57,965 - easytorch-training - INFO - Result <val>: [val_time: 159.06 (s), val_MAE: 1.6053, val_RMSE: 3.2811, val_MAPE: 0.0378]
2022-10-09 14:42:15,674 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8485, Test RMSE: 1.5477, Test MAPE: 0.0163
2022-10-09 14:42:15,677 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1154, Test RMSE: 2.2468, Test MAPE: 0.0225
2022-10-09 14:42:15,679 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2980, Test RMSE: 2.7718, Test MAPE: 0.0272
2022-10-09 14:42:15,682 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4329, Test RMSE: 3.1622, Test MAPE: 0.0312
2022-10-09 14:42:15,684 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5329, Test RMSE: 3.4542, Test MAPE: 0.0343
2022-10-09 14:42:15,686 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6088, Test RMSE: 3.6741, Test MAPE: 0.0369
2022-10-09 14:42:15,689 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6722, Test RMSE: 3.8481, Test MAPE: 0.0392
2022-10-09 14:42:15,691 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7256, Test RMSE: 3.9860, Test MAPE: 0.0411
2022-10-09 14:42:15,693 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7680, Test RMSE: 4.0921, Test MAPE: 0.0426
2022-10-09 14:42:15,696 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.8034, Test RMSE: 4.1799, Test MAPE: 0.0438
2022-10-09 14:42:15,698 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8385, Test RMSE: 4.2571, Test MAPE: 0.0450
2022-10-09 14:42:15,700 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8705, Test RMSE: 4.3254, Test MAPE: 0.0460
2022-10-09 14:42:15,721 - easytorch-training - INFO - Result <test>: [test_time: 317.75 (s), test_MAE: 1.5429, test_RMSE: 3.5625, test_MAPE: 0.0355]
2022-10-09 14:42:17,276 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_011.pt saved
2022-10-09 14:42:17,276 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:48:58
2022-10-09 14:42:17,276 - easytorch-training - INFO - Epoch 12 / 100
2022-10-09 14:56:32,096 - easytorch-training - INFO - Result <train>: [train_time: 854.82 (s), lr: 5.00e-04, train_MAE: 1.5041, train_RMSE: 3.3492, train_MAPE: 0.0328]
2022-10-09 14:56:32,098 - easytorch-training - INFO - Start validation.
2022-10-09 14:59:11,376 - easytorch-training - INFO - Result <val>: [val_time: 159.28 (s), val_MAE: 1.5831, val_RMSE: 3.2690, val_MAPE: 0.0366]
2022-10-09 14:59:13,300 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 15:04:31,238 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8535, Test RMSE: 1.5588, Test MAPE: 0.0166
2022-10-09 15:04:31,241 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1169, Test RMSE: 2.2553, Test MAPE: 0.0227
2022-10-09 15:04:31,244 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2958, Test RMSE: 2.7821, Test MAPE: 0.0273
2022-10-09 15:04:31,246 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4291, Test RMSE: 3.1779, Test MAPE: 0.0311
2022-10-09 15:04:31,248 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5215, Test RMSE: 3.4651, Test MAPE: 0.0338
2022-10-09 15:04:31,251 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5948, Test RMSE: 3.6781, Test MAPE: 0.0362
2022-10-09 15:04:31,253 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6523, Test RMSE: 3.8409, Test MAPE: 0.0380
2022-10-09 15:04:31,255 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6972, Test RMSE: 3.9624, Test MAPE: 0.0396
2022-10-09 15:04:31,257 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7356, Test RMSE: 4.0623, Test MAPE: 0.0410
2022-10-09 15:04:31,260 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7679, Test RMSE: 4.1451, Test MAPE: 0.0421
2022-10-09 15:04:31,262 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7966, Test RMSE: 4.2214, Test MAPE: 0.0430
2022-10-09 15:04:31,264 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8243, Test RMSE: 4.2853, Test MAPE: 0.0438
2022-10-09 15:04:31,285 - easytorch-training - INFO - Result <test>: [test_time: 317.98 (s), test_MAE: 1.5238, test_RMSE: 3.5498, test_MAPE: 0.0346]
2022-10-09 15:04:32,826 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_012.pt saved
2022-10-09 15:04:32,826 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:48:27
2022-10-09 15:04:32,826 - easytorch-training - INFO - Epoch 13 / 100
2022-10-09 15:18:49,197 - easytorch-training - INFO - Result <train>: [train_time: 856.37 (s), lr: 5.00e-04, train_MAE: 1.5165, train_RMSE: 3.3716, train_MAPE: 0.0332]
2022-10-09 15:18:49,199 - easytorch-training - INFO - Start validation.
2022-10-09 15:21:28,393 - easytorch-training - INFO - Result <val>: [val_time: 159.19 (s), val_MAE: 1.5804, val_RMSE: 3.2541, val_MAPE: 0.0369]
2022-10-09 15:21:30,304 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 15:26:49,467 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8481, Test RMSE: 1.5462, Test MAPE: 0.0163
2022-10-09 15:26:49,470 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1146, Test RMSE: 2.2446, Test MAPE: 0.0224
2022-10-09 15:26:49,472 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2951, Test RMSE: 2.7738, Test MAPE: 0.0271
2022-10-09 15:26:49,475 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4260, Test RMSE: 3.1653, Test MAPE: 0.0309
2022-10-09 15:26:49,477 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5214, Test RMSE: 3.4554, Test MAPE: 0.0340
2022-10-09 15:26:49,479 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5950, Test RMSE: 3.6699, Test MAPE: 0.0365
2022-10-09 15:26:49,482 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6528, Test RMSE: 3.8319, Test MAPE: 0.0386
2022-10-09 15:26:49,484 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6966, Test RMSE: 3.9547, Test MAPE: 0.0401
2022-10-09 15:26:49,486 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7344, Test RMSE: 4.0512, Test MAPE: 0.0415
2022-10-09 15:26:49,488 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7646, Test RMSE: 4.1283, Test MAPE: 0.0425
2022-10-09 15:26:49,491 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7933, Test RMSE: 4.1934, Test MAPE: 0.0434
2022-10-09 15:26:49,493 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8214, Test RMSE: 4.2551, Test MAPE: 0.0443
2022-10-09 15:26:49,513 - easytorch-training - INFO - Result <test>: [test_time: 319.21 (s), test_MAE: 1.5219, test_RMSE: 3.5358, test_MAPE: 0.0348]
2022-10-09 15:26:51,065 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_013.pt saved
2022-10-09 15:26:51,066 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:48:21
2022-10-09 15:26:51,066 - easytorch-training - INFO - Epoch 14 / 100
2022-10-09 15:41:07,554 - easytorch-training - INFO - Result <train>: [train_time: 856.49 (s), lr: 5.00e-04, train_MAE: 1.5073, train_RMSE: 3.3596, train_MAPE: 0.0330]
2022-10-09 15:41:07,557 - easytorch-training - INFO - Start validation.
2022-10-09 15:43:46,339 - easytorch-training - INFO - Result <val>: [val_time: 158.78 (s), val_MAE: 1.5967, val_RMSE: 3.2345, val_MAPE: 0.0373]
2022-10-09 15:49:05,305 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8646, Test RMSE: 1.5641, Test MAPE: 0.0170
2022-10-09 15:49:05,308 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1273, Test RMSE: 2.2518, Test MAPE: 0.0232
2022-10-09 15:49:05,310 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3084, Test RMSE: 2.7644, Test MAPE: 0.0279
2022-10-09 15:49:05,312 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4366, Test RMSE: 3.1404, Test MAPE: 0.0315
2022-10-09 15:49:05,315 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5299, Test RMSE: 3.4148, Test MAPE: 0.0344
2022-10-09 15:49:05,317 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6037, Test RMSE: 3.6167, Test MAPE: 0.0367
2022-10-09 15:49:05,319 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6585, Test RMSE: 3.7738, Test MAPE: 0.0385
2022-10-09 15:49:05,322 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7031, Test RMSE: 3.8974, Test MAPE: 0.0400
2022-10-09 15:49:05,324 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7425, Test RMSE: 3.9950, Test MAPE: 0.0413
2022-10-09 15:49:05,326 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7743, Test RMSE: 4.0754, Test MAPE: 0.0422
2022-10-09 15:49:05,328 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8013, Test RMSE: 4.1460, Test MAPE: 0.0431
2022-10-09 15:49:05,330 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8295, Test RMSE: 4.2124, Test MAPE: 0.0438
2022-10-09 15:49:05,351 - easytorch-training - INFO - Result <test>: [test_time: 319.01 (s), test_MAE: 1.5316, test_RMSE: 3.4964, test_MAPE: 0.0350]
2022-10-09 15:49:06,904 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_014.pt saved
2022-10-09 15:49:06,904 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:47:58
2022-10-09 15:49:06,905 - easytorch-training - INFO - Epoch 15 / 100
2022-10-09 16:03:23,711 - easytorch-training - INFO - Result <train>: [train_time: 856.81 (s), lr: 5.00e-04, train_MAE: 1.4941, train_RMSE: 3.3161, train_MAPE: 0.0325]
2022-10-09 16:03:23,714 - easytorch-training - INFO - Start validation.
2022-10-09 16:06:03,712 - easytorch-training - INFO - Result <val>: [val_time: 160.00 (s), val_MAE: 1.5740, val_RMSE: 3.2403, val_MAPE: 0.0359]
2022-10-09 16:06:05,617 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 16:11:24,384 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8543, Test RMSE: 1.5578, Test MAPE: 0.0164
2022-10-09 16:11:24,388 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1187, Test RMSE: 2.2489, Test MAPE: 0.0224
2022-10-09 16:11:24,390 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2991, Test RMSE: 2.7756, Test MAPE: 0.0270
2022-10-09 16:11:24,392 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4303, Test RMSE: 3.1666, Test MAPE: 0.0306
2022-10-09 16:11:24,395 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5246, Test RMSE: 3.4520, Test MAPE: 0.0335
2022-10-09 16:11:24,397 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5957, Test RMSE: 3.6593, Test MAPE: 0.0357
2022-10-09 16:11:24,399 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6503, Test RMSE: 3.8187, Test MAPE: 0.0376
2022-10-09 16:11:24,401 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6967, Test RMSE: 3.9455, Test MAPE: 0.0391
2022-10-09 16:11:24,404 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7347, Test RMSE: 4.0436, Test MAPE: 0.0403
2022-10-09 16:11:24,406 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7646, Test RMSE: 4.1196, Test MAPE: 0.0414
2022-10-09 16:11:24,408 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7935, Test RMSE: 4.1912, Test MAPE: 0.0422
2022-10-09 16:11:24,410 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8222, Test RMSE: 4.2583, Test MAPE: 0.0430
2022-10-09 16:11:24,431 - easytorch-training - INFO - Result <test>: [test_time: 318.81 (s), test_MAE: 1.5237, test_RMSE: 3.5319, test_MAPE: 0.0341]
2022-10-09 16:11:25,976 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_015.pt saved
2022-10-09 16:11:25,976 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:48:01
2022-10-09 16:11:25,976 - easytorch-training - INFO - Epoch 16 / 100
2022-10-09 16:25:41,937 - easytorch-training - INFO - Result <train>: [train_time: 855.96 (s), lr: 5.00e-04, train_MAE: 1.4886, train_RMSE: 3.3099, train_MAPE: 0.0324]
2022-10-09 16:25:41,939 - easytorch-training - INFO - Start validation.
2022-10-09 16:28:21,943 - easytorch-training - INFO - Result <val>: [val_time: 160.00 (s), val_MAE: 1.5889, val_RMSE: 3.2340, val_MAPE: 0.0362]
2022-10-09 16:33:38,392 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8608, Test RMSE: 1.5644, Test MAPE: 0.0166
2022-10-09 16:33:38,395 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1218, Test RMSE: 2.2514, Test MAPE: 0.0225
2022-10-09 16:33:38,398 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3030, Test RMSE: 2.7748, Test MAPE: 0.0270
2022-10-09 16:33:38,400 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4328, Test RMSE: 3.1557, Test MAPE: 0.0306
2022-10-09 16:33:38,403 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5256, Test RMSE: 3.4360, Test MAPE: 0.0335
2022-10-09 16:33:38,405 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5990, Test RMSE: 3.6448, Test MAPE: 0.0359
2022-10-09 16:33:38,407 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6610, Test RMSE: 3.8081, Test MAPE: 0.0379
2022-10-09 16:33:38,409 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7108, Test RMSE: 3.9396, Test MAPE: 0.0395
2022-10-09 16:33:38,412 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7595, Test RMSE: 4.0460, Test MAPE: 0.0410
2022-10-09 16:33:38,414 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7971, Test RMSE: 4.1416, Test MAPE: 0.0423
2022-10-09 16:33:38,416 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8284, Test RMSE: 4.2194, Test MAPE: 0.0432
2022-10-09 16:33:38,418 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8613, Test RMSE: 4.2925, Test MAPE: 0.0440
2022-10-09 16:33:38,439 - easytorch-training - INFO - Result <test>: [test_time: 316.49 (s), test_MAE: 1.5384, test_RMSE: 3.5360, test_MAPE: 0.0345]
2022-10-09 16:33:39,971 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_016.pt saved
2022-10-09 16:33:39,971 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:47:31
2022-10-09 16:33:39,971 - easytorch-training - INFO - Epoch 17 / 100
2022-10-09 16:47:55,758 - easytorch-training - INFO - Result <train>: [train_time: 855.79 (s), lr: 5.00e-04, train_MAE: 1.4883, train_RMSE: 3.3026, train_MAPE: 0.0323]
2022-10-09 16:47:55,760 - easytorch-training - INFO - Start validation.
2022-10-09 16:50:35,198 - easytorch-training - INFO - Result <val>: [val_time: 159.44 (s), val_MAE: 1.5783, val_RMSE: 3.2620, val_MAPE: 0.0358]
2022-10-09 16:55:55,184 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8682, Test RMSE: 1.5860, Test MAPE: 0.0170
2022-10-09 16:55:55,187 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1260, Test RMSE: 2.2738, Test MAPE: 0.0227
2022-10-09 16:55:55,190 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3020, Test RMSE: 2.7940, Test MAPE: 0.0269
2022-10-09 16:55:55,192 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4286, Test RMSE: 3.1753, Test MAPE: 0.0303
2022-10-09 16:55:55,194 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5198, Test RMSE: 3.4534, Test MAPE: 0.0330
2022-10-09 16:55:55,196 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5900, Test RMSE: 3.6562, Test MAPE: 0.0352
2022-10-09 16:55:55,199 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6457, Test RMSE: 3.8182, Test MAPE: 0.0370
2022-10-09 16:55:55,201 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6907, Test RMSE: 3.9422, Test MAPE: 0.0386
2022-10-09 16:55:55,203 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7276, Test RMSE: 4.0391, Test MAPE: 0.0398
2022-10-09 16:55:55,205 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7586, Test RMSE: 4.1156, Test MAPE: 0.0409
2022-10-09 16:55:55,207 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7863, Test RMSE: 4.1845, Test MAPE: 0.0418
2022-10-09 16:55:55,210 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8146, Test RMSE: 4.2502, Test MAPE: 0.0427
2022-10-09 16:55:55,230 - easytorch-training - INFO - Result <test>: [test_time: 320.03 (s), test_MAE: 1.5215, test_RMSE: 3.5333, test_MAPE: 0.0338]
2022-10-09 16:55:56,778 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_017.pt saved
2022-10-09 16:55:56,779 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:47:21
2022-10-09 16:55:56,779 - easytorch-training - INFO - Epoch 18 / 100
2022-10-09 17:10:13,986 - easytorch-training - INFO - Result <train>: [train_time: 857.21 (s), lr: 5.00e-04, train_MAE: 1.4869, train_RMSE: 3.3066, train_MAPE: 0.0324]
2022-10-09 17:10:13,988 - easytorch-training - INFO - Start validation.
2022-10-09 17:12:52,430 - easytorch-training - INFO - Result <val>: [val_time: 158.44 (s), val_MAE: 1.5659, val_RMSE: 3.2242, val_MAPE: 0.0362]
2022-10-09 17:12:54,337 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 17:18:11,793 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8449, Test RMSE: 1.5448, Test MAPE: 0.0163
2022-10-09 17:18:11,797 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1091, Test RMSE: 2.2373, Test MAPE: 0.0224
2022-10-09 17:18:11,799 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2861, Test RMSE: 2.7616, Test MAPE: 0.0269
2022-10-09 17:18:11,802 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4144, Test RMSE: 3.1472, Test MAPE: 0.0306
2022-10-09 17:18:11,804 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5089, Test RMSE: 3.4243, Test MAPE: 0.0336
2022-10-09 17:18:11,806 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5817, Test RMSE: 3.6285, Test MAPE: 0.0360
2022-10-09 17:18:11,808 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6384, Test RMSE: 3.7872, Test MAPE: 0.0379
2022-10-09 17:18:11,811 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6841, Test RMSE: 3.9096, Test MAPE: 0.0395
2022-10-09 17:18:11,813 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7210, Test RMSE: 4.0053, Test MAPE: 0.0407
2022-10-09 17:18:11,815 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7524, Test RMSE: 4.0843, Test MAPE: 0.0417
2022-10-09 17:18:11,817 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7813, Test RMSE: 4.1571, Test MAPE: 0.0427
2022-10-09 17:18:11,820 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8103, Test RMSE: 4.2263, Test MAPE: 0.0435
2022-10-09 17:18:11,840 - easytorch-training - INFO - Result <test>: [test_time: 317.50 (s), test_MAE: 1.5111, test_RMSE: 3.5037, test_MAPE: 0.0343]
2022-10-09 17:18:13,368 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_018.pt saved
2022-10-09 17:18:13,368 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:47:11
2022-10-09 17:18:13,368 - easytorch-training - INFO - Epoch 19 / 100
2022-10-09 17:32:28,887 - easytorch-training - INFO - Result <train>: [train_time: 855.52 (s), lr: 2.50e-04, train_MAE: 1.4886, train_RMSE: 3.3065, train_MAPE: 0.0325]
2022-10-09 17:32:28,890 - easytorch-training - INFO - Start validation.
2022-10-09 17:35:08,554 - easytorch-training - INFO - Result <val>: [val_time: 159.66 (s), val_MAE: 1.5567, val_RMSE: 3.2060, val_MAPE: 0.0355]
2022-10-09 17:35:10,448 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 17:40:28,861 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8448, Test RMSE: 1.5456, Test MAPE: 0.0162
2022-10-09 17:40:28,865 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1088, Test RMSE: 2.2310, Test MAPE: 0.0222
2022-10-09 17:40:28,867 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2859, Test RMSE: 2.7430, Test MAPE: 0.0268
2022-10-09 17:40:28,870 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4129, Test RMSE: 3.1206, Test MAPE: 0.0304
2022-10-09 17:40:28,872 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5060, Test RMSE: 3.3986, Test MAPE: 0.0332
2022-10-09 17:40:28,874 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5775, Test RMSE: 3.6067, Test MAPE: 0.0355
2022-10-09 17:40:28,877 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6333, Test RMSE: 3.7672, Test MAPE: 0.0373
2022-10-09 17:40:28,879 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6784, Test RMSE: 3.8910, Test MAPE: 0.0389
2022-10-09 17:40:28,881 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7158, Test RMSE: 3.9868, Test MAPE: 0.0401
2022-10-09 17:40:28,883 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7470, Test RMSE: 4.0671, Test MAPE: 0.0411
2022-10-09 17:40:28,886 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7749, Test RMSE: 4.1385, Test MAPE: 0.0419
2022-10-09 17:40:28,888 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8026, Test RMSE: 4.2050, Test MAPE: 0.0427
2022-10-09 17:40:28,908 - easytorch-training - INFO - Result <test>: [test_time: 318.46 (s), test_MAE: 1.5073, test_RMSE: 3.4853, test_MAPE: 0.0339]
2022-10-09 17:40:30,451 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_019.pt saved
2022-10-09 17:40:30,451 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:47:05
2022-10-09 17:40:30,451 - easytorch-training - INFO - Epoch 20 / 100
2022-10-09 17:54:47,700 - easytorch-training - INFO - Result <train>: [train_time: 857.25 (s), lr: 2.50e-04, train_MAE: 1.4758, train_RMSE: 3.2761, train_MAPE: 0.0321]
2022-10-09 17:54:47,702 - easytorch-training - INFO - Start validation.
2022-10-09 17:57:25,973 - easytorch-training - INFO - Result <val>: [val_time: 158.27 (s), val_MAE: 1.5603, val_RMSE: 3.2124, val_MAPE: 0.0356]
2022-10-09 18:02:45,068 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8451, Test RMSE: 1.5458, Test MAPE: 0.0162
2022-10-09 18:02:45,071 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1090, Test RMSE: 2.2348, Test MAPE: 0.0222
2022-10-09 18:02:45,074 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2870, Test RMSE: 2.7517, Test MAPE: 0.0267
2022-10-09 18:02:45,076 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4146, Test RMSE: 3.1328, Test MAPE: 0.0303
2022-10-09 18:02:45,078 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5097, Test RMSE: 3.4139, Test MAPE: 0.0332
2022-10-09 18:02:45,081 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5816, Test RMSE: 3.6223, Test MAPE: 0.0355
2022-10-09 18:02:45,083 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6386, Test RMSE: 3.7813, Test MAPE: 0.0374
2022-10-09 18:02:45,085 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6848, Test RMSE: 3.9090, Test MAPE: 0.0390
2022-10-09 18:02:45,088 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7233, Test RMSE: 4.0098, Test MAPE: 0.0404
2022-10-09 18:02:45,090 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7575, Test RMSE: 4.0933, Test MAPE: 0.0414
2022-10-09 18:02:45,092 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7847, Test RMSE: 4.1656, Test MAPE: 0.0422
2022-10-09 18:02:45,094 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8110, Test RMSE: 4.2285, Test MAPE: 0.0430
2022-10-09 18:02:45,115 - easytorch-training - INFO - Result <test>: [test_time: 319.14 (s), test_MAE: 1.5123, test_RMSE: 3.5023, test_MAPE: 0.0340]
2022-10-09 18:02:46,662 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_020.pt saved
2022-10-09 18:02:47,396 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:46:59
2022-10-09 18:02:47,397 - easytorch-training - INFO - Epoch 21 / 100
2022-10-09 18:17:02,811 - easytorch-training - INFO - Result <train>: [train_time: 855.41 (s), lr: 2.50e-04, train_MAE: 1.4730, train_RMSE: 3.2738, train_MAPE: 0.0320]
2022-10-09 18:17:02,814 - easytorch-training - INFO - Start validation.
2022-10-09 18:19:43,013 - easytorch-training - INFO - Result <val>: [val_time: 160.20 (s), val_MAE: 1.5592, val_RMSE: 3.2177, val_MAPE: 0.0354]
2022-10-09 18:25:01,216 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8480, Test RMSE: 1.5522, Test MAPE: 0.0163
2022-10-09 18:25:01,219 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1094, Test RMSE: 2.2375, Test MAPE: 0.0222
2022-10-09 18:25:01,221 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2866, Test RMSE: 2.7534, Test MAPE: 0.0267
2022-10-09 18:25:01,224 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4129, Test RMSE: 3.1333, Test MAPE: 0.0303
2022-10-09 18:25:01,226 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5048, Test RMSE: 3.4127, Test MAPE: 0.0331
2022-10-09 18:25:01,228 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5755, Test RMSE: 3.6184, Test MAPE: 0.0353
2022-10-09 18:25:01,231 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6315, Test RMSE: 3.7768, Test MAPE: 0.0371
2022-10-09 18:25:01,233 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6762, Test RMSE: 3.8968, Test MAPE: 0.0386
2022-10-09 18:25:01,235 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7126, Test RMSE: 3.9904, Test MAPE: 0.0398
2022-10-09 18:25:01,237 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7444, Test RMSE: 4.0698, Test MAPE: 0.0408
2022-10-09 18:25:01,239 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7728, Test RMSE: 4.1444, Test MAPE: 0.0416
2022-10-09 18:25:01,242 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8026, Test RMSE: 4.2171, Test MAPE: 0.0423
2022-10-09 18:25:01,262 - easytorch-training - INFO - Result <test>: [test_time: 318.25 (s), test_MAE: 1.5064, test_RMSE: 3.4934, test_MAPE: 0.0337]
2022-10-09 18:25:02,826 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_021.pt saved
2022-10-09 18:25:02,826 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:46:46
2022-10-09 18:25:02,826 - easytorch-training - INFO - Epoch 22 / 100
2022-10-09 18:39:18,440 - easytorch-training - INFO - Result <train>: [train_time: 855.61 (s), lr: 2.50e-04, train_MAE: 1.4723, train_RMSE: 3.2672, train_MAPE: 0.0320]
2022-10-09 18:39:18,443 - easytorch-training - INFO - Start validation.
2022-10-09 18:41:57,580 - easytorch-training - INFO - Result <val>: [val_time: 159.14 (s), val_MAE: 1.5561, val_RMSE: 3.2030, val_MAPE: 0.0350]
2022-10-09 18:41:59,484 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 18:47:17,788 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8440, Test RMSE: 1.5464, Test MAPE: 0.0161
2022-10-09 18:47:17,791 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1093, Test RMSE: 2.2409, Test MAPE: 0.0221
2022-10-09 18:47:17,794 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2862, Test RMSE: 2.7562, Test MAPE: 0.0265
2022-10-09 18:47:17,796 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4153, Test RMSE: 3.1366, Test MAPE: 0.0299
2022-10-09 18:47:17,799 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5059, Test RMSE: 3.4122, Test MAPE: 0.0326
2022-10-09 18:47:17,801 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5785, Test RMSE: 3.6166, Test MAPE: 0.0348
2022-10-09 18:47:17,803 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6342, Test RMSE: 3.7733, Test MAPE: 0.0366
2022-10-09 18:47:17,806 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6798, Test RMSE: 3.8950, Test MAPE: 0.0381
2022-10-09 18:47:17,808 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7171, Test RMSE: 3.9873, Test MAPE: 0.0394
2022-10-09 18:47:17,810 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7501, Test RMSE: 4.0675, Test MAPE: 0.0404
2022-10-09 18:47:17,812 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7779, Test RMSE: 4.1406, Test MAPE: 0.0413
2022-10-09 18:47:17,815 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8061, Test RMSE: 4.2149, Test MAPE: 0.0421
2022-10-09 18:47:17,835 - easytorch-training - INFO - Result <test>: [test_time: 318.35 (s), test_MAE: 1.5087, test_RMSE: 3.4920, test_MAPE: 0.0333]
2022-10-09 18:47:19,383 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_022.pt saved
2022-10-09 18:47:19,383 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:46:39
2022-10-09 18:47:19,383 - easytorch-training - INFO - Epoch 23 / 100
2022-10-09 19:01:34,081 - easytorch-training - INFO - Result <train>: [train_time: 854.70 (s), lr: 2.50e-04, train_MAE: 1.4637, train_RMSE: 3.2482, train_MAPE: 0.0317]
2022-10-09 19:01:34,084 - easytorch-training - INFO - Start validation.
2022-10-09 19:04:13,518 - easytorch-training - INFO - Result <val>: [val_time: 159.43 (s), val_MAE: 1.5570, val_RMSE: 3.1908, val_MAPE: 0.0359]
2022-10-09 19:09:31,298 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8448, Test RMSE: 1.5402, Test MAPE: 0.0163
2022-10-09 19:09:31,301 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1082, Test RMSE: 2.2213, Test MAPE: 0.0224
2022-10-09 19:09:31,303 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2861, Test RMSE: 2.7315, Test MAPE: 0.0271
2022-10-09 19:09:31,305 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4136, Test RMSE: 3.1114, Test MAPE: 0.0306
2022-10-09 19:09:31,308 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5093, Test RMSE: 3.3942, Test MAPE: 0.0336
2022-10-09 19:09:31,310 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5832, Test RMSE: 3.6065, Test MAPE: 0.0360
2022-10-09 19:09:31,312 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6415, Test RMSE: 3.7699, Test MAPE: 0.0379
2022-10-09 19:09:31,315 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6884, Test RMSE: 3.8966, Test MAPE: 0.0395
2022-10-09 19:09:31,317 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7262, Test RMSE: 3.9938, Test MAPE: 0.0407
2022-10-09 19:09:31,319 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7579, Test RMSE: 4.0730, Test MAPE: 0.0416
2022-10-09 19:09:31,321 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7876, Test RMSE: 4.1421, Test MAPE: 0.0424
2022-10-09 19:09:31,323 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8147, Test RMSE: 4.2081, Test MAPE: 0.0432
2022-10-09 19:09:31,344 - easytorch-training - INFO - Result <test>: [test_time: 317.82 (s), test_MAE: 1.5135, test_RMSE: 3.4854, test_MAPE: 0.0343]
2022-10-09 19:09:32,877 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_023.pt saved
2022-10-09 19:09:32,878 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:46:20
2022-10-09 19:09:32,878 - easytorch-training - INFO - Epoch 24 / 100
2022-10-09 19:23:47,555 - easytorch-training - INFO - Result <train>: [train_time: 854.68 (s), lr: 2.50e-04, train_MAE: 1.4634, train_RMSE: 3.2454, train_MAPE: 0.0317]
2022-10-09 19:23:47,557 - easytorch-training - INFO - Start validation.
2022-10-09 19:26:27,143 - easytorch-training - INFO - Result <val>: [val_time: 159.58 (s), val_MAE: 1.5533, val_RMSE: 3.1959, val_MAPE: 0.0357]
2022-10-09 19:26:29,034 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 19:31:46,123 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8445, Test RMSE: 1.5393, Test MAPE: 0.0163
2022-10-09 19:31:46,126 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1069, Test RMSE: 2.2219, Test MAPE: 0.0223
2022-10-09 19:31:46,128 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2831, Test RMSE: 2.7361, Test MAPE: 0.0269
2022-10-09 19:31:46,131 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4101, Test RMSE: 3.1133, Test MAPE: 0.0305
2022-10-09 19:31:46,133 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5023, Test RMSE: 3.3898, Test MAPE: 0.0332
2022-10-09 19:31:46,135 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5741, Test RMSE: 3.5945, Test MAPE: 0.0356
2022-10-09 19:31:46,138 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6288, Test RMSE: 3.7538, Test MAPE: 0.0375
2022-10-09 19:31:46,140 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6734, Test RMSE: 3.8797, Test MAPE: 0.0390
2022-10-09 19:31:46,142 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7108, Test RMSE: 3.9839, Test MAPE: 0.0402
2022-10-09 19:31:46,144 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7414, Test RMSE: 4.0652, Test MAPE: 0.0412
2022-10-09 19:31:46,147 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7690, Test RMSE: 4.1395, Test MAPE: 0.0421
2022-10-09 19:31:46,149 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.7960, Test RMSE: 4.2074, Test MAPE: 0.0429
2022-10-09 19:31:46,169 - easytorch-training - INFO - Result <test>: [test_time: 317.13 (s), test_MAE: 1.5034, test_RMSE: 3.4794, test_MAPE: 0.0340]
2022-10-09 19:31:47,698 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_024.pt saved
2022-10-09 19:31:47,699 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:46:07
2022-10-09 19:31:47,699 - easytorch-training - INFO - Epoch 25 / 100
2022-10-09 19:46:02,258 - easytorch-training - INFO - Result <train>: [train_time: 854.56 (s), lr: 2.50e-04, train_MAE: 1.4632, train_RMSE: 3.2514, train_MAPE: 0.0318]
2022-10-09 19:46:02,261 - easytorch-training - INFO - Start validation.
2022-10-09 19:48:41,319 - easytorch-training - INFO - Result <val>: [val_time: 159.06 (s), val_MAE: 1.5510, val_RMSE: 3.1999, val_MAPE: 0.0349]
2022-10-09 19:48:43,223 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 19:53:58,626 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8436, Test RMSE: 1.5438, Test MAPE: 0.0162
2022-10-09 19:53:58,629 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1060, Test RMSE: 2.2319, Test MAPE: 0.0221
2022-10-09 19:53:58,631 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2803, Test RMSE: 2.7429, Test MAPE: 0.0265
2022-10-09 19:53:58,634 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4077, Test RMSE: 3.1229, Test MAPE: 0.0299
2022-10-09 19:53:58,636 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5016, Test RMSE: 3.4023, Test MAPE: 0.0327
2022-10-09 19:53:58,639 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5728, Test RMSE: 3.6081, Test MAPE: 0.0349
2022-10-09 19:53:58,641 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6306, Test RMSE: 3.7733, Test MAPE: 0.0367
2022-10-09 19:53:58,643 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6781, Test RMSE: 3.9035, Test MAPE: 0.0381
2022-10-09 19:53:58,645 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7191, Test RMSE: 4.0092, Test MAPE: 0.0394
2022-10-09 19:53:58,647 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7508, Test RMSE: 4.0891, Test MAPE: 0.0404
2022-10-09 19:53:58,650 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7781, Test RMSE: 4.1613, Test MAPE: 0.0412
2022-10-09 19:53:58,652 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8053, Test RMSE: 4.2301, Test MAPE: 0.0420
2022-10-09 19:53:58,672 - easytorch-training - INFO - Result <test>: [test_time: 315.45 (s), test_MAE: 1.5062, test_RMSE: 3.4966, test_MAPE: 0.0333]
2022-10-09 19:54:00,219 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_025.pt saved
2022-10-09 19:54:00,220 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:45:47
2022-10-09 19:54:00,220 - easytorch-training - INFO - Epoch 26 / 100
2022-10-09 20:08:16,106 - easytorch-training - INFO - Result <train>: [train_time: 855.89 (s), lr: 2.50e-04, train_MAE: 1.4627, train_RMSE: 3.2442, train_MAPE: 0.0317]
2022-10-09 20:08:16,108 - easytorch-training - INFO - Start validation.
2022-10-09 20:10:55,970 - easytorch-training - INFO - Result <val>: [val_time: 159.86 (s), val_MAE: 1.5523, val_RMSE: 3.2028, val_MAPE: 0.0351]
2022-10-09 20:16:13,031 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8412, Test RMSE: 1.5406, Test MAPE: 0.0162
2022-10-09 20:16:13,034 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1039, Test RMSE: 2.2251, Test MAPE: 0.0221
2022-10-09 20:16:13,037 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2797, Test RMSE: 2.7363, Test MAPE: 0.0265
2022-10-09 20:16:13,039 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4057, Test RMSE: 3.1123, Test MAPE: 0.0300
2022-10-09 20:16:13,042 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.4971, Test RMSE: 3.3871, Test MAPE: 0.0327
2022-10-09 20:16:13,044 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5682, Test RMSE: 3.5908, Test MAPE: 0.0350
2022-10-09 20:16:13,046 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6244, Test RMSE: 3.7506, Test MAPE: 0.0367
2022-10-09 20:16:13,048 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6687, Test RMSE: 3.8733, Test MAPE: 0.0382
2022-10-09 20:16:13,051 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7071, Test RMSE: 3.9710, Test MAPE: 0.0394
2022-10-09 20:16:13,053 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7390, Test RMSE: 4.0523, Test MAPE: 0.0405
2022-10-09 20:16:13,055 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7680, Test RMSE: 4.1269, Test MAPE: 0.0414
2022-10-09 20:16:13,057 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.7971, Test RMSE: 4.2044, Test MAPE: 0.0422
2022-10-09 20:16:13,078 - easytorch-training - INFO - Result <test>: [test_time: 317.11 (s), test_MAE: 1.5000, test_RMSE: 3.4741, test_MAPE: 0.0334]
2022-10-09 20:16:14,605 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_026.pt saved
2022-10-09 20:16:14,606 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:45:35
2022-10-09 20:16:14,606 - easytorch-training - INFO - Epoch 27 / 100
2022-10-09 20:30:30,278 - easytorch-training - INFO - Result <train>: [train_time: 855.67 (s), lr: 2.50e-04, train_MAE: 1.4576, train_RMSE: 3.2335, train_MAPE: 0.0316]
2022-10-09 20:30:30,280 - easytorch-training - INFO - Start validation.
2022-10-09 20:33:09,383 - easytorch-training - INFO - Result <val>: [val_time: 159.10 (s), val_MAE: 1.5495, val_RMSE: 3.1937, val_MAPE: 0.0355]
2022-10-09 20:33:11,296 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 20:38:29,621 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8430, Test RMSE: 1.5396, Test MAPE: 0.0162
2022-10-09 20:38:29,624 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1052, Test RMSE: 2.2239, Test MAPE: 0.0222
2022-10-09 20:38:29,626 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2818, Test RMSE: 2.7363, Test MAPE: 0.0266
2022-10-09 20:38:29,628 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4098, Test RMSE: 3.1136, Test MAPE: 0.0302
2022-10-09 20:38:29,631 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5031, Test RMSE: 3.3894, Test MAPE: 0.0330
2022-10-09 20:38:29,633 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5755, Test RMSE: 3.5931, Test MAPE: 0.0354
2022-10-09 20:38:29,635 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6318, Test RMSE: 3.7501, Test MAPE: 0.0373
2022-10-09 20:38:29,638 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6773, Test RMSE: 3.8756, Test MAPE: 0.0389
2022-10-09 20:38:29,640 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7139, Test RMSE: 3.9722, Test MAPE: 0.0401
2022-10-09 20:38:29,642 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7441, Test RMSE: 4.0522, Test MAPE: 0.0412
2022-10-09 20:38:29,644 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7714, Test RMSE: 4.1231, Test MAPE: 0.0420
2022-10-09 20:38:29,646 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.7986, Test RMSE: 4.1911, Test MAPE: 0.0429
2022-10-09 20:38:29,667 - easytorch-training - INFO - Result <test>: [test_time: 318.37 (s), test_MAE: 1.5046, test_RMSE: 3.4730, test_MAPE: 0.0338]
2022-10-09 20:38:31,211 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_027.pt saved
2022-10-09 20:38:31,211 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:45:33
2022-10-09 20:38:31,211 - easytorch-training - INFO - Epoch 28 / 100
2022-10-09 20:52:47,518 - easytorch-training - INFO - Result <train>: [train_time: 856.31 (s), lr: 2.50e-04, train_MAE: 1.4588, train_RMSE: 3.2380, train_MAPE: 0.0317]
2022-10-09 20:52:47,521 - easytorch-training - INFO - Start validation.
2022-10-09 20:55:27,071 - easytorch-training - INFO - Result <val>: [val_time: 159.55 (s), val_MAE: 1.5533, val_RMSE: 3.2060, val_MAPE: 0.0349]
2022-10-09 21:00:45,145 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8441, Test RMSE: 1.5432, Test MAPE: 0.0161
2022-10-09 21:00:45,148 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1055, Test RMSE: 2.2275, Test MAPE: 0.0221
2022-10-09 21:00:45,150 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2803, Test RMSE: 2.7394, Test MAPE: 0.0264
2022-10-09 21:00:45,153 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4059, Test RMSE: 3.1164, Test MAPE: 0.0298
2022-10-09 21:00:45,155 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.4991, Test RMSE: 3.3966, Test MAPE: 0.0325
2022-10-09 21:00:45,158 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5706, Test RMSE: 3.6055, Test MAPE: 0.0347
2022-10-09 21:00:45,160 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6287, Test RMSE: 3.7696, Test MAPE: 0.0364
2022-10-09 21:00:45,162 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6770, Test RMSE: 3.8986, Test MAPE: 0.0379
2022-10-09 21:00:45,165 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7158, Test RMSE: 3.9990, Test MAPE: 0.0392
2022-10-09 21:00:45,167 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7511, Test RMSE: 4.0890, Test MAPE: 0.0403
2022-10-09 21:00:45,169 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7801, Test RMSE: 4.1649, Test MAPE: 0.0412
2022-10-09 21:00:45,171 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8090, Test RMSE: 4.2379, Test MAPE: 0.0419
2022-10-09 21:00:45,192 - easytorch-training - INFO - Result <test>: [test_time: 318.12 (s), test_MAE: 1.5056, test_RMSE: 3.4943, test_MAPE: 0.0332]
2022-10-09 21:00:46,729 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_028.pt saved
2022-10-09 21:00:46,730 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:45:26
2022-10-09 21:00:46,730 - easytorch-training - INFO - Epoch 29 / 100
2022-10-09 21:15:04,365 - easytorch-training - INFO - Result <train>: [train_time: 857.64 (s), lr: 2.50e-04, train_MAE: 1.4562, train_RMSE: 3.2295, train_MAPE: 0.0315]
2022-10-09 21:15:04,368 - easytorch-training - INFO - Start validation.
2022-10-09 21:17:43,544 - easytorch-training - INFO - Result <val>: [val_time: 159.18 (s), val_MAE: 1.5545, val_RMSE: 3.1951, val_MAPE: 0.0352]
2022-10-09 21:23:03,835 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8479, Test RMSE: 1.5494, Test MAPE: 0.0163
2022-10-09 21:23:03,838 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1106, Test RMSE: 2.2297, Test MAPE: 0.0223
2022-10-09 21:23:03,840 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2874, Test RMSE: 2.7423, Test MAPE: 0.0266
2022-10-09 21:23:03,843 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4155, Test RMSE: 3.1230, Test MAPE: 0.0301
2022-10-09 21:23:03,845 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5078, Test RMSE: 3.4003, Test MAPE: 0.0328
2022-10-09 21:23:03,847 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5794, Test RMSE: 3.6076, Test MAPE: 0.0350
2022-10-09 21:23:03,849 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6369, Test RMSE: 3.7708, Test MAPE: 0.0368
2022-10-09 21:23:03,852 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6823, Test RMSE: 3.8935, Test MAPE: 0.0383
2022-10-09 21:23:03,854 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7210, Test RMSE: 3.9912, Test MAPE: 0.0396
2022-10-09 21:23:03,856 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7534, Test RMSE: 4.0743, Test MAPE: 0.0407
2022-10-09 21:23:03,858 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7805, Test RMSE: 4.1441, Test MAPE: 0.0416
2022-10-09 21:23:03,860 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.8070, Test RMSE: 4.2091, Test MAPE: 0.0424
2022-10-09 21:23:03,881 - easytorch-training - INFO - Result <test>: [test_time: 320.33 (s), test_MAE: 1.5108, test_RMSE: 3.4883, test_MAPE: 0.0335]
2022-10-09 21:23:05,426 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_029.pt saved
2022-10-09 21:23:05,426 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:45:31
2022-10-09 21:23:05,426 - easytorch-training - INFO - Epoch 30 / 100
2022-10-09 21:37:21,218 - easytorch-training - INFO - Result <train>: [train_time: 855.79 (s), lr: 2.50e-04, train_MAE: 1.4574, train_RMSE: 3.2306, train_MAPE: 0.0316]
2022-10-09 21:37:21,220 - easytorch-training - INFO - Start validation.
2022-10-09 21:40:01,434 - easytorch-training - INFO - Result <val>: [val_time: 160.21 (s), val_MAE: 1.5478, val_RMSE: 3.1972, val_MAPE: 0.0354]
2022-10-09 21:40:03,344 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_best_val_MAE.pt saved
2022-10-09 21:45:20,999 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8409, Test RMSE: 1.5396, Test MAPE: 0.0161
2022-10-09 21:45:21,002 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1028, Test RMSE: 2.2248, Test MAPE: 0.0221
2022-10-09 21:45:21,005 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2781, Test RMSE: 2.7371, Test MAPE: 0.0265
2022-10-09 21:45:21,007 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4044, Test RMSE: 3.1141, Test MAPE: 0.0300
2022-10-09 21:45:21,009 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.4955, Test RMSE: 3.3880, Test MAPE: 0.0328
2022-10-09 21:45:21,012 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5649, Test RMSE: 3.5896, Test MAPE: 0.0350
2022-10-09 21:45:21,014 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6201, Test RMSE: 3.7463, Test MAPE: 0.0369
2022-10-09 21:45:21,016 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.6648, Test RMSE: 3.8716, Test MAPE: 0.0383
2022-10-09 21:45:21,018 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7011, Test RMSE: 3.9670, Test MAPE: 0.0396
2022-10-09 21:45:21,021 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.7329, Test RMSE: 4.0501, Test MAPE: 0.0408
2022-10-09 21:45:21,023 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.7605, Test RMSE: 4.1243, Test MAPE: 0.0417
2022-10-09 21:45:21,025 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.7872, Test RMSE: 4.1920, Test MAPE: 0.0425
2022-10-09 21:45:21,046 - easytorch-training - INFO - Result <test>: [test_time: 317.70 (s), test_MAE: 1.4961, test_RMSE: 3.4716, test_MAPE: 0.0335]
2022-10-09 21:45:22,580 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_030.pt saved
2022-10-09 21:45:23,323 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:45:33
2022-10-09 21:45:23,323 - easytorch-training - INFO - Epoch 31 / 100
2022-10-09 21:59:39,210 - easytorch-training - INFO - Result <train>: [train_time: 855.89 (s), lr: 2.50e-04, train_MAE: 0.8188, train_RMSE: 1.4762, train_MAPE: 0.0155]
2022-10-09 21:59:39,212 - easytorch-training - INFO - Start validation.
2022-10-09 22:02:18,856 - easytorch-training - INFO - Result <val>: [val_time: 159.64 (s), val_MAE: 1.6433, val_RMSE: 3.3320, val_MAPE: 0.0388]
2022-10-09 22:07:37,195 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8382, Test RMSE: 1.5348, Test MAPE: 0.0160
2022-10-09 22:07:37,198 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1148, Test RMSE: 2.2557, Test MAPE: 0.0224
2022-10-09 22:07:37,200 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2968, Test RMSE: 2.7941, Test MAPE: 0.0270
2022-10-09 22:07:37,203 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4407, Test RMSE: 3.1907, Test MAPE: 0.0310
2022-10-09 22:07:37,205 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5371, Test RMSE: 3.4712, Test MAPE: 0.0339
2022-10-09 22:07:37,208 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6199, Test RMSE: 3.6836, Test MAPE: 0.0367
2022-10-09 22:07:37,210 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6875, Test RMSE: 3.8424, Test MAPE: 0.0390
2022-10-09 22:07:37,212 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7410, Test RMSE: 3.9722, Test MAPE: 0.0411
2022-10-09 22:07:37,214 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.7955, Test RMSE: 4.0766, Test MAPE: 0.0432
2022-10-09 22:07:37,217 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.8346, Test RMSE: 4.1718, Test MAPE: 0.0449
2022-10-09 22:07:37,219 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.8651, Test RMSE: 4.2477, Test MAPE: 0.0459
2022-10-09 22:07:37,221 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.9063, Test RMSE: 4.3309, Test MAPE: 0.0471
2022-10-09 22:07:37,242 - easytorch-training - INFO - Result <test>: [test_time: 318.38 (s), test_MAE: 1.5565, test_RMSE: 3.5639, test_MAPE: 0.0357]
2022-10-09 22:07:38,796 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_031.pt saved
2022-10-09 22:07:38,796 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:45:28
2022-10-09 22:07:38,796 - easytorch-training - INFO - Epoch 32 / 100
2022-10-09 22:21:54,536 - easytorch-training - INFO - Result <train>: [train_time: 855.74 (s), lr: 2.50e-04, train_MAE: 0.8112, train_RMSE: 1.4657, train_MAPE: 0.0153]
2022-10-09 22:21:54,537 - easytorch-training - INFO - Start validation.
2022-10-09 22:24:33,674 - easytorch-training - INFO - Result <val>: [val_time: 159.14 (s), val_MAE: 1.6920, val_RMSE: 3.3976, val_MAPE: 0.0409]
2022-10-09 22:29:53,107 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8355, Test RMSE: 1.5330, Test MAPE: 0.0160
2022-10-09 22:29:53,110 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1226, Test RMSE: 2.2616, Test MAPE: 0.0229
2022-10-09 22:29:53,112 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3119, Test RMSE: 2.8099, Test MAPE: 0.0278
2022-10-09 22:29:53,115 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4605, Test RMSE: 3.2227, Test MAPE: 0.0321
2022-10-09 22:29:53,117 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.5658, Test RMSE: 3.5172, Test MAPE: 0.0353
2022-10-09 22:29:53,119 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6558, Test RMSE: 3.7449, Test MAPE: 0.0382
2022-10-09 22:29:53,122 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.7314, Test RMSE: 3.9115, Test MAPE: 0.0407
2022-10-09 22:29:53,124 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.7872, Test RMSE: 4.0481, Test MAPE: 0.0429
2022-10-09 22:29:53,126 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.8486, Test RMSE: 4.1589, Test MAPE: 0.0452
2022-10-09 22:29:53,128 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.8921, Test RMSE: 4.2650, Test MAPE: 0.0472
2022-10-09 22:29:53,130 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.9255, Test RMSE: 4.3459, Test MAPE: 0.0484
2022-10-09 22:29:53,133 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 1.9717, Test RMSE: 4.4373, Test MAPE: 0.0499
2022-10-09 22:29:53,153 - easytorch-training - INFO - Result <test>: [test_time: 319.48 (s), test_MAE: 1.5924, test_RMSE: 3.6273, test_MAPE: 0.0372]
2022-10-09 22:29:54,702 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_032.pt saved
2022-10-09 22:29:54,703 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:45:23
2022-10-09 22:29:54,703 - easytorch-training - INFO - Epoch 33 / 100
2022-10-09 22:44:10,280 - easytorch-training - INFO - Result <train>: [train_time: 855.58 (s), lr: 2.50e-04, train_MAE: 0.8125, train_RMSE: 1.4717, train_MAPE: 0.0154]
2022-10-09 22:44:10,282 - easytorch-training - INFO - Start validation.
2022-10-09 22:46:50,239 - easytorch-training - INFO - Result <val>: [val_time: 159.96 (s), val_MAE: 1.7422, val_RMSE: 3.4624, val_MAPE: 0.0430]
2022-10-09 22:52:08,539 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8334, Test RMSE: 1.5328, Test MAPE: 0.0159
2022-10-09 22:52:08,542 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.1292, Test RMSE: 2.2764, Test MAPE: 0.0232
2022-10-09 22:52:08,544 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3321, Test RMSE: 2.8421, Test MAPE: 0.0285
2022-10-09 22:52:08,547 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4848, Test RMSE: 3.2700, Test MAPE: 0.0331
2022-10-09 22:52:08,549 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.6028, Test RMSE: 3.5783, Test MAPE: 0.0368
2022-10-09 22:52:08,551 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.6970, Test RMSE: 3.8121, Test MAPE: 0.0400
2022-10-09 22:52:08,553 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.7831, Test RMSE: 3.9870, Test MAPE: 0.0428
2022-10-09 22:52:08,556 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.8391, Test RMSE: 4.1296, Test MAPE: 0.0451
2022-10-09 22:52:08,558 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.9062, Test RMSE: 4.2487, Test MAPE: 0.0475
2022-10-09 22:52:08,560 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.9507, Test RMSE: 4.3654, Test MAPE: 0.0496
2022-10-09 22:52:08,562 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 1.9808, Test RMSE: 4.4429, Test MAPE: 0.0507
2022-10-09 22:52:08,564 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.0312, Test RMSE: 4.5363, Test MAPE: 0.0522
2022-10-09 22:52:08,585 - easytorch-training - INFO - Result <test>: [test_time: 318.34 (s), test_MAE: 1.6309, test_RMSE: 3.6970, test_MAPE: 0.0388]
2022-10-09 22:52:10,124 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_033.pt saved
2022-10-09 22:52:10,124 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:45:18
2022-10-09 22:52:10,124 - easytorch-training - INFO - Epoch 34 / 100
2022-10-09 23:06:26,610 - easytorch-training - INFO - Result <train>: [train_time: 856.49 (s), lr: 2.50e-04, train_MAE: 0.9375, train_RMSE: 1.8126, train_MAPE: 0.0182]
2022-10-09 23:06:26,612 - easytorch-training - INFO - Start validation.
2022-10-09 23:09:06,542 - easytorch-training - INFO - Result <val>: [val_time: 159.93 (s), val_MAE: 1.7620, val_RMSE: 3.4685, val_MAPE: 0.0443]
2022-10-09 23:14:24,496 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8320, Test RMSE: 1.5246, Test MAPE: 0.0159
2022-10-09 23:14:24,499 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0949, Test RMSE: 2.2087, Test MAPE: 0.0220
2022-10-09 23:14:24,501 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3358, Test RMSE: 2.7955, Test MAPE: 0.0293
2022-10-09 23:14:24,503 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4910, Test RMSE: 3.2327, Test MAPE: 0.0343
2022-10-09 23:14:24,506 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.6128, Test RMSE: 3.5477, Test MAPE: 0.0380
2022-10-09 23:14:24,508 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.7136, Test RMSE: 3.7978, Test MAPE: 0.0413
2022-10-09 23:14:24,510 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.8046, Test RMSE: 3.9835, Test MAPE: 0.0440
2022-10-09 23:14:24,513 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.8594, Test RMSE: 4.1420, Test MAPE: 0.0462
2022-10-09 23:14:24,515 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.9312, Test RMSE: 4.2726, Test MAPE: 0.0486
2022-10-09 23:14:24,517 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 1.9854, Test RMSE: 4.4124, Test MAPE: 0.0513
2022-10-09 23:14:24,519 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.0166, Test RMSE: 4.4984, Test MAPE: 0.0525
2022-10-09 23:14:24,521 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.0773, Test RMSE: 4.6005, Test MAPE: 0.0543
2022-10-09 23:14:24,542 - easytorch-training - INFO - Result <test>: [test_time: 318.00 (s), test_MAE: 1.6462, test_RMSE: 3.7039, test_MAPE: 0.0398]
2022-10-09 23:14:26,088 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_034.pt saved
2022-10-09 23:14:26,089 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:45:15
2022-10-09 23:14:26,089 - easytorch-training - INFO - Epoch 35 / 100
2022-10-09 23:28:43,053 - easytorch-training - INFO - Result <train>: [train_time: 856.96 (s), lr: 2.50e-04, train_MAE: 0.9377, train_RMSE: 1.8048, train_MAPE: 0.0182]
2022-10-09 23:28:43,056 - easytorch-training - INFO - Start validation.
2022-10-09 23:31:21,406 - easytorch-training - INFO - Result <val>: [val_time: 158.35 (s), val_MAE: 1.8147, val_RMSE: 3.5299, val_MAPE: 0.0458]
2022-10-09 23:36:39,754 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8328, Test RMSE: 1.5290, Test MAPE: 0.0159
2022-10-09 23:36:39,757 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0964, Test RMSE: 2.2153, Test MAPE: 0.0219
2022-10-09 23:36:39,759 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3550, Test RMSE: 2.8231, Test MAPE: 0.0296
2022-10-09 23:36:39,762 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.5124, Test RMSE: 3.2766, Test MAPE: 0.0348
2022-10-09 23:36:39,764 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.6476, Test RMSE: 3.6108, Test MAPE: 0.0389
2022-10-09 23:36:39,766 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.7546, Test RMSE: 3.8676, Test MAPE: 0.0423
2022-10-09 23:36:39,769 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.8655, Test RMSE: 4.0650, Test MAPE: 0.0455
2022-10-09 23:36:39,771 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.9235, Test RMSE: 4.2279, Test MAPE: 0.0479
2022-10-09 23:36:39,773 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.0045, Test RMSE: 4.3587, Test MAPE: 0.0506
2022-10-09 23:36:39,775 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.0552, Test RMSE: 4.5065, Test MAPE: 0.0534
2022-10-09 23:36:39,778 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.0850, Test RMSE: 4.5913, Test MAPE: 0.0546
2022-10-09 23:36:39,780 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.1449, Test RMSE: 4.6923, Test MAPE: 0.0564
2022-10-09 23:36:39,800 - easytorch-training - INFO - Result <test>: [test_time: 318.39 (s), test_MAE: 1.6898, test_RMSE: 3.7722, test_MAPE: 0.0410]
2022-10-09 23:36:41,343 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_035.pt saved
2022-10-09 23:36:41,344 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:45:09
2022-10-09 23:36:41,344 - easytorch-training - INFO - Epoch 36 / 100
2022-10-09 23:50:57,464 - easytorch-training - INFO - Result <train>: [train_time: 856.12 (s), lr: 2.50e-04, train_MAE: 0.9366, train_RMSE: 1.8041, train_MAPE: 0.0182]
2022-10-09 23:50:57,467 - easytorch-training - INFO - Start validation.
2022-10-09 23:53:37,106 - easytorch-training - INFO - Result <val>: [val_time: 159.64 (s), val_MAE: 1.8367, val_RMSE: 3.5644, val_MAPE: 0.0474]
2022-10-09 23:58:54,089 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8327, Test RMSE: 1.5321, Test MAPE: 0.0160
2022-10-09 23:58:54,092 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0947, Test RMSE: 2.2168, Test MAPE: 0.0220
2022-10-09 23:58:54,095 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.3649, Test RMSE: 2.8323, Test MAPE: 0.0305
2022-10-09 23:58:54,097 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.5303, Test RMSE: 3.2961, Test MAPE: 0.0361
2022-10-09 23:58:54,099 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.6670, Test RMSE: 3.6380, Test MAPE: 0.0404
2022-10-09 23:58:54,102 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.7684, Test RMSE: 3.8926, Test MAPE: 0.0437
2022-10-09 23:58:54,104 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.8778, Test RMSE: 4.0982, Test MAPE: 0.0468
2022-10-09 23:58:54,106 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.9404, Test RMSE: 4.2772, Test MAPE: 0.0493
2022-10-09 23:58:54,108 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.0222, Test RMSE: 4.4148, Test MAPE: 0.0519
2022-10-09 23:58:54,111 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.0838, Test RMSE: 4.5888, Test MAPE: 0.0550
2022-10-09 23:58:54,113 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.1223, Test RMSE: 4.6841, Test MAPE: 0.0566
2022-10-09 23:58:54,115 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.1844, Test RMSE: 4.7889, Test MAPE: 0.0585
2022-10-09 23:58:54,135 - easytorch-training - INFO - Result <test>: [test_time: 317.03 (s), test_MAE: 1.7074, test_RMSE: 3.8193, test_MAPE: 0.0422]
2022-10-09 23:58:55,677 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_036.pt saved
2022-10-09 23:58:55,677 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:45:02
2022-10-09 23:58:55,677 - easytorch-training - INFO - Epoch 37 / 100
2022-10-10 00:13:10,518 - easytorch-training - INFO - Result <train>: [train_time: 854.84 (s), lr: 1.25e-04, train_MAE: 1.0275, train_RMSE: 2.0696, train_MAPE: 0.0203]
2022-10-10 00:13:10,520 - easytorch-training - INFO - Start validation.
2022-10-10 00:15:49,527 - easytorch-training - INFO - Result <val>: [val_time: 159.01 (s), val_MAE: 1.7873, val_RMSE: 3.4807, val_MAPE: 0.0456]
2022-10-10 00:21:09,189 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8295, Test RMSE: 1.5188, Test MAPE: 0.0158
2022-10-10 00:21:09,192 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0902, Test RMSE: 2.1909, Test MAPE: 0.0217
2022-10-10 00:21:09,194 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2657, Test RMSE: 2.6989, Test MAPE: 0.0261
2022-10-10 00:21:09,197 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4768, Test RMSE: 3.1617, Test MAPE: 0.0340
2022-10-10 00:21:09,199 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.6136, Test RMSE: 3.5015, Test MAPE: 0.0385
2022-10-10 00:21:09,201 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.7258, Test RMSE: 3.7743, Test MAPE: 0.0422
2022-10-10 00:21:09,204 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.8455, Test RMSE: 3.9957, Test MAPE: 0.0458
2022-10-10 00:21:09,206 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.9118, Test RMSE: 4.1831, Test MAPE: 0.0485
2022-10-10 00:21:09,208 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 1.9940, Test RMSE: 4.3223, Test MAPE: 0.0511
2022-10-10 00:21:09,210 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.0458, Test RMSE: 4.4806, Test MAPE: 0.0537
2022-10-10 00:21:09,212 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.0741, Test RMSE: 4.5643, Test MAPE: 0.0548
2022-10-10 00:21:09,215 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.1310, Test RMSE: 4.6619, Test MAPE: 0.0565
2022-10-10 00:21:09,235 - easytorch-training - INFO - Result <test>: [test_time: 319.71 (s), test_MAE: 1.6670, test_RMSE: 3.7157, test_MAPE: 0.0407]
2022-10-10 00:21:10,788 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_037.pt saved
2022-10-10 00:21:10,788 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:57
2022-10-10 00:21:10,788 - easytorch-training - INFO - Epoch 38 / 100
2022-10-10 00:35:25,059 - easytorch-training - INFO - Result <train>: [train_time: 854.27 (s), lr: 1.25e-04, train_MAE: 1.0249, train_RMSE: 2.0632, train_MAPE: 0.0202]
2022-10-10 00:35:25,062 - easytorch-training - INFO - Start validation.
2022-10-10 00:38:05,173 - easytorch-training - INFO - Result <val>: [val_time: 160.11 (s), val_MAE: 1.8171, val_RMSE: 3.5213, val_MAPE: 0.0467]
2022-10-10 00:43:24,735 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8314, Test RMSE: 1.5165, Test MAPE: 0.0160
2022-10-10 00:43:24,738 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0900, Test RMSE: 2.1817, Test MAPE: 0.0219
2022-10-10 00:43:24,740 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2637, Test RMSE: 2.6882, Test MAPE: 0.0262
2022-10-10 00:43:24,742 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4960, Test RMSE: 3.1875, Test MAPE: 0.0348
2022-10-10 00:43:24,745 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.6374, Test RMSE: 3.5346, Test MAPE: 0.0395
2022-10-10 00:43:24,747 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.7507, Test RMSE: 3.8144, Test MAPE: 0.0433
2022-10-10 00:43:24,749 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.8767, Test RMSE: 4.0454, Test MAPE: 0.0470
2022-10-10 00:43:24,751 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.9459, Test RMSE: 4.2427, Test MAPE: 0.0497
2022-10-10 00:43:24,754 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.0357, Test RMSE: 4.3885, Test MAPE: 0.0524
2022-10-10 00:43:24,756 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.0823, Test RMSE: 4.5488, Test MAPE: 0.0548
2022-10-10 00:43:24,758 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.1128, Test RMSE: 4.6372, Test MAPE: 0.0561
2022-10-10 00:43:24,760 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.1702, Test RMSE: 4.7372, Test MAPE: 0.0578
2022-10-10 00:43:24,781 - easytorch-training - INFO - Result <test>: [test_time: 319.61 (s), test_MAE: 1.6911, test_RMSE: 3.7611, test_MAPE: 0.0416]
2022-10-10 00:43:26,319 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_038.pt saved
2022-10-10 00:43:26,320 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:53
2022-10-10 00:43:26,320 - easytorch-training - INFO - Epoch 39 / 100
2022-10-10 00:57:42,029 - easytorch-training - INFO - Result <train>: [train_time: 855.71 (s), lr: 1.25e-04, train_MAE: 1.0294, train_RMSE: 2.0683, train_MAPE: 0.0203]
2022-10-10 00:57:42,032 - easytorch-training - INFO - Start validation.
2022-10-10 01:00:22,253 - easytorch-training - INFO - Result <val>: [val_time: 160.22 (s), val_MAE: 1.8176, val_RMSE: 3.5189, val_MAPE: 0.0468]
2022-10-10 01:05:41,275 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8296, Test RMSE: 1.5149, Test MAPE: 0.0159
2022-10-10 01:05:41,278 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0897, Test RMSE: 2.1865, Test MAPE: 0.0219
2022-10-10 01:05:41,280 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2649, Test RMSE: 2.6976, Test MAPE: 0.0263
2022-10-10 01:05:41,283 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.4925, Test RMSE: 3.1734, Test MAPE: 0.0349
2022-10-10 01:05:41,285 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.6327, Test RMSE: 3.5205, Test MAPE: 0.0396
2022-10-10 01:05:41,288 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.7497, Test RMSE: 3.8036, Test MAPE: 0.0436
2022-10-10 01:05:41,290 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.8762, Test RMSE: 4.0343, Test MAPE: 0.0471
2022-10-10 01:05:41,292 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.9494, Test RMSE: 4.2399, Test MAPE: 0.0500
2022-10-10 01:05:41,295 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.0395, Test RMSE: 4.3891, Test MAPE: 0.0526
2022-10-10 01:05:41,297 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.0884, Test RMSE: 4.5555, Test MAPE: 0.0552
2022-10-10 01:05:41,299 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.1207, Test RMSE: 4.6505, Test MAPE: 0.0565
2022-10-10 01:05:41,301 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.1815, Test RMSE: 4.7599, Test MAPE: 0.0583
2022-10-10 01:05:41,322 - easytorch-training - INFO - Result <test>: [test_time: 319.07 (s), test_MAE: 1.6929, test_RMSE: 3.7621, test_MAPE: 0.0418]
2022-10-10 01:05:42,867 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_039.pt saved
2022-10-10 01:05:42,867 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:52
2022-10-10 01:05:42,867 - easytorch-training - INFO - Epoch 40 / 100
2022-10-10 01:19:58,213 - easytorch-training - INFO - Result <train>: [train_time: 855.34 (s), lr: 1.25e-04, train_MAE: 1.1086, train_RMSE: 2.2994, train_MAPE: 0.0223]
2022-10-10 01:19:58,215 - easytorch-training - INFO - Start validation.
2022-10-10 01:22:37,354 - easytorch-training - INFO - Result <val>: [val_time: 159.14 (s), val_MAE: 1.8254, val_RMSE: 3.5451, val_MAPE: 0.0475]
2022-10-10 01:27:55,487 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8300, Test RMSE: 1.5217, Test MAPE: 0.0159
2022-10-10 01:27:55,490 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0890, Test RMSE: 2.1912, Test MAPE: 0.0219
2022-10-10 01:27:55,493 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2626, Test RMSE: 2.6943, Test MAPE: 0.0263
2022-10-10 01:27:55,495 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.3900, Test RMSE: 3.0725, Test MAPE: 0.0299
2022-10-10 01:27:55,497 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.6241, Test RMSE: 3.5010, Test MAPE: 0.0395
2022-10-10 01:27:55,500 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.7429, Test RMSE: 3.7895, Test MAPE: 0.0437
2022-10-10 01:27:55,502 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.9019, Test RMSE: 4.0879, Test MAPE: 0.0489
2022-10-10 01:27:55,504 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.9956, Test RMSE: 4.3498, Test MAPE: 0.0527
2022-10-10 01:27:55,506 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.0900, Test RMSE: 4.5060, Test MAPE: 0.0554
2022-10-10 01:27:55,509 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.1347, Test RMSE: 4.6729, Test MAPE: 0.0576
2022-10-10 01:27:55,511 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.1483, Test RMSE: 4.7230, Test MAPE: 0.0580
2022-10-10 01:27:55,513 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.1899, Test RMSE: 4.7843, Test MAPE: 0.0589
2022-10-10 01:27:55,533 - easytorch-training - INFO - Result <test>: [test_time: 318.18 (s), test_MAE: 1.6999, test_RMSE: 3.8013, test_MAPE: 0.0424]
2022-10-10 01:27:57,077 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_040.pt saved
2022-10-10 01:27:57,817 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:47
2022-10-10 01:27:57,817 - easytorch-training - INFO - Epoch 41 / 100
2022-10-10 01:42:13,495 - easytorch-training - INFO - Result <train>: [train_time: 855.68 (s), lr: 1.25e-04, train_MAE: 1.1090, train_RMSE: 2.2949, train_MAPE: 0.0223]
2022-10-10 01:42:13,497 - easytorch-training - INFO - Start validation.
2022-10-10 01:44:54,023 - easytorch-training - INFO - Result <val>: [val_time: 160.53 (s), val_MAE: 1.8204, val_RMSE: 3.5379, val_MAPE: 0.0474]
2022-10-10 01:50:12,614 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8299, Test RMSE: 1.5148, Test MAPE: 0.0158
2022-10-10 01:50:12,617 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0892, Test RMSE: 2.1837, Test MAPE: 0.0217
2022-10-10 01:50:12,619 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2646, Test RMSE: 2.6921, Test MAPE: 0.0260
2022-10-10 01:50:12,621 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.3932, Test RMSE: 3.0723, Test MAPE: 0.0296
2022-10-10 01:50:12,624 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.6142, Test RMSE: 3.4764, Test MAPE: 0.0392
2022-10-10 01:50:12,626 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.7294, Test RMSE: 3.7607, Test MAPE: 0.0432
2022-10-10 01:50:12,628 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.8949, Test RMSE: 4.0698, Test MAPE: 0.0487
2022-10-10 01:50:12,630 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 1.9848, Test RMSE: 4.3364, Test MAPE: 0.0525
2022-10-10 01:50:12,633 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.0866, Test RMSE: 4.5034, Test MAPE: 0.0554
2022-10-10 01:50:12,635 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.1318, Test RMSE: 4.6799, Test MAPE: 0.0578
2022-10-10 01:50:12,637 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.1446, Test RMSE: 4.7244, Test MAPE: 0.0582
2022-10-10 01:50:12,639 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.1857, Test RMSE: 4.7830, Test MAPE: 0.0590
2022-10-10 01:50:12,660 - easytorch-training - INFO - Result <test>: [test_time: 318.63 (s), test_MAE: 1.6957, test_RMSE: 3.7939, test_MAPE: 0.0423]
2022-10-10 01:50:14,211 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_041.pt saved
2022-10-10 01:50:14,212 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:46
2022-10-10 01:50:14,212 - easytorch-training - INFO - Epoch 42 / 100
2022-10-10 02:04:29,847 - easytorch-training - INFO - Result <train>: [train_time: 855.63 (s), lr: 1.25e-04, train_MAE: 1.1013, train_RMSE: 2.2785, train_MAPE: 0.0221]
2022-10-10 02:04:29,850 - easytorch-training - INFO - Start validation.
2022-10-10 02:07:08,823 - easytorch-training - INFO - Result <val>: [val_time: 158.97 (s), val_MAE: 1.8383, val_RMSE: 3.5677, val_MAPE: 0.0477]
2022-10-10 02:12:27,124 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8342, Test RMSE: 1.5253, Test MAPE: 0.0159
2022-10-10 02:12:27,127 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0932, Test RMSE: 2.2006, Test MAPE: 0.0217
2022-10-10 02:12:27,130 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2678, Test RMSE: 2.7102, Test MAPE: 0.0259
2022-10-10 02:12:27,133 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.3949, Test RMSE: 3.0872, Test MAPE: 0.0293
2022-10-10 02:12:27,135 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.6190, Test RMSE: 3.4846, Test MAPE: 0.0389
2022-10-10 02:12:27,137 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.7369, Test RMSE: 3.7736, Test MAPE: 0.0429
2022-10-10 02:12:27,139 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.9139, Test RMSE: 4.0941, Test MAPE: 0.0487
2022-10-10 02:12:27,142 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 2.0070, Test RMSE: 4.3676, Test MAPE: 0.0527
2022-10-10 02:12:27,144 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.1112, Test RMSE: 4.5395, Test MAPE: 0.0558
2022-10-10 02:12:27,146 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.1593, Test RMSE: 4.7248, Test MAPE: 0.0584
2022-10-10 02:12:27,148 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.1667, Test RMSE: 4.7599, Test MAPE: 0.0586
2022-10-10 02:12:27,151 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.2052, Test RMSE: 4.8135, Test MAPE: 0.0593
2022-10-10 02:12:27,171 - easytorch-training - INFO - Result <test>: [test_time: 318.35 (s), test_MAE: 1.7091, test_RMSE: 3.8191, test_MAPE: 0.0423]
2022-10-10 02:12:28,722 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_042.pt saved
2022-10-10 02:12:28,722 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:41
2022-10-10 02:12:28,722 - easytorch-training - INFO - Epoch 43 / 100
2022-10-10 02:26:44,413 - easytorch-training - INFO - Result <train>: [train_time: 855.69 (s), lr: 1.25e-04, train_MAE: 1.1797, train_RMSE: 2.4914, train_MAPE: 0.0241]
2022-10-10 02:26:44,415 - easytorch-training - INFO - Start validation.
2022-10-10 02:29:24,414 - easytorch-training - INFO - Result <val>: [val_time: 160.00 (s), val_MAE: 1.8358, val_RMSE: 3.5799, val_MAPE: 0.0479]
2022-10-10 02:34:42,423 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8300, Test RMSE: 1.5127, Test MAPE: 0.0159
2022-10-10 02:34:42,426 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0885, Test RMSE: 2.1783, Test MAPE: 0.0218
2022-10-10 02:34:42,429 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2617, Test RMSE: 2.6807, Test MAPE: 0.0260
2022-10-10 02:34:42,431 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.3886, Test RMSE: 3.0561, Test MAPE: 0.0295
2022-10-10 02:34:42,433 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.4836, Test RMSE: 3.3360, Test MAPE: 0.0322
2022-10-10 02:34:42,436 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.7148, Test RMSE: 3.7068, Test MAPE: 0.0422
2022-10-10 02:34:42,438 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.9002, Test RMSE: 4.0425, Test MAPE: 0.0485
2022-10-10 02:34:42,440 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 2.0167, Test RMSE: 4.3758, Test MAPE: 0.0536
2022-10-10 02:34:42,442 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.1510, Test RMSE: 4.6317, Test MAPE: 0.0581
2022-10-10 02:34:42,445 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.2131, Test RMSE: 4.8704, Test MAPE: 0.0614
2022-10-10 02:34:42,447 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.2106, Test RMSE: 4.8649, Test MAPE: 0.0609
2022-10-10 02:34:42,449 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.2441, Test RMSE: 4.8976, Test MAPE: 0.0612
2022-10-10 02:34:42,470 - easytorch-training - INFO - Result <test>: [test_time: 318.05 (s), test_MAE: 1.7086, test_RMSE: 3.8378, test_MAPE: 0.0426]
2022-10-10 02:34:44,034 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_043.pt saved
2022-10-10 02:34:44,035 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:37
2022-10-10 02:34:44,035 - easytorch-training - INFO - Epoch 44 / 100
2022-10-10 02:49:00,397 - easytorch-training - INFO - Result <train>: [train_time: 856.36 (s), lr: 1.25e-04, train_MAE: 1.1687, train_RMSE: 2.4710, train_MAPE: 0.0238]
2022-10-10 02:49:00,399 - easytorch-training - INFO - Start validation.
2022-10-10 02:51:40,947 - easytorch-training - INFO - Result <val>: [val_time: 160.55 (s), val_MAE: 1.8440, val_RMSE: 3.5926, val_MAPE: 0.0484]
2022-10-10 02:56:59,881 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8319, Test RMSE: 1.5186, Test MAPE: 0.0159
2022-10-10 02:56:59,884 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0892, Test RMSE: 2.1814, Test MAPE: 0.0217
2022-10-10 02:56:59,886 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2611, Test RMSE: 2.6808, Test MAPE: 0.0261
2022-10-10 02:56:59,889 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.3882, Test RMSE: 3.0575, Test MAPE: 0.0297
2022-10-10 02:56:59,891 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.4834, Test RMSE: 3.3391, Test MAPE: 0.0325
2022-10-10 02:56:59,893 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.7306, Test RMSE: 3.7235, Test MAPE: 0.0431
2022-10-10 02:56:59,896 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.9174, Test RMSE: 4.0690, Test MAPE: 0.0495
2022-10-10 02:56:59,898 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 2.0330, Test RMSE: 4.4026, Test MAPE: 0.0545
2022-10-10 02:56:59,900 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.1691, Test RMSE: 4.6680, Test MAPE: 0.0591
2022-10-10 02:56:59,902 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.2338, Test RMSE: 4.9187, Test MAPE: 0.0625
2022-10-10 02:56:59,905 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.2269, Test RMSE: 4.9004, Test MAPE: 0.0617
2022-10-10 02:56:59,907 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.2586, Test RMSE: 4.9277, Test MAPE: 0.0620
2022-10-10 02:56:59,927 - easytorch-training - INFO - Result <test>: [test_time: 318.98 (s), test_MAE: 1.7186, test_RMSE: 3.8604, test_MAPE: 0.0432]
2022-10-10 02:57:01,478 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_044.pt saved
2022-10-10 02:57:01,478 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:39
2022-10-10 02:57:01,478 - easytorch-training - INFO - Epoch 45 / 100
2022-10-10 03:11:17,153 - easytorch-training - INFO - Result <train>: [train_time: 855.67 (s), lr: 1.25e-04, train_MAE: 1.1667, train_RMSE: 2.4679, train_MAPE: 0.0238]
2022-10-10 03:11:17,155 - easytorch-training - INFO - Start validation.
2022-10-10 03:13:56,562 - easytorch-training - INFO - Result <val>: [val_time: 159.41 (s), val_MAE: 1.8574, val_RMSE: 3.6193, val_MAPE: 0.0489]
2022-10-10 03:19:16,200 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8297, Test RMSE: 1.5157, Test MAPE: 0.0158
2022-10-10 03:19:16,203 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0879, Test RMSE: 2.1829, Test MAPE: 0.0217
2022-10-10 03:19:16,206 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2606, Test RMSE: 2.6832, Test MAPE: 0.0260
2022-10-10 03:19:16,208 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.3862, Test RMSE: 3.0570, Test MAPE: 0.0294
2022-10-10 03:19:16,211 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.4804, Test RMSE: 3.3355, Test MAPE: 0.0322
2022-10-10 03:19:16,213 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.7472, Test RMSE: 3.7586, Test MAPE: 0.0437
2022-10-10 03:19:16,215 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.9342, Test RMSE: 4.1112, Test MAPE: 0.0501
2022-10-10 03:19:16,217 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 2.0495, Test RMSE: 4.4509, Test MAPE: 0.0551
2022-10-10 03:19:16,220 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.1834, Test RMSE: 4.7128, Test MAPE: 0.0595
2022-10-10 03:19:16,222 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.2538, Test RMSE: 4.9809, Test MAPE: 0.0632
2022-10-10 03:19:16,224 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.2499, Test RMSE: 4.9651, Test MAPE: 0.0625
2022-10-10 03:19:16,226 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.2782, Test RMSE: 4.9929, Test MAPE: 0.0628
2022-10-10 03:19:16,247 - easytorch-training - INFO - Result <test>: [test_time: 319.68 (s), test_MAE: 1.7284, test_RMSE: 3.8963, test_MAPE: 0.0435]
2022-10-10 03:19:17,802 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_045.pt saved
2022-10-10 03:19:17,803 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:38
2022-10-10 03:19:17,803 - easytorch-training - INFO - Epoch 46 / 100
2022-10-10 03:33:34,955 - easytorch-training - INFO - Result <train>: [train_time: 857.15 (s), lr: 1.25e-04, train_MAE: 1.2196, train_RMSE: 2.6111, train_MAPE: 0.0251]
2022-10-10 03:33:34,957 - easytorch-training - INFO - Start validation.
2022-10-10 03:36:14,400 - easytorch-training - INFO - Result <val>: [val_time: 159.44 (s), val_MAE: 1.8323, val_RMSE: 3.6187, val_MAPE: 0.0484]
2022-10-10 03:41:33,491 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8333, Test RMSE: 1.5195, Test MAPE: 0.0161
2022-10-10 03:41:33,493 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0898, Test RMSE: 2.1849, Test MAPE: 0.0219
2022-10-10 03:41:33,495 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2620, Test RMSE: 2.6848, Test MAPE: 0.0264
2022-10-10 03:41:33,498 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.3871, Test RMSE: 3.0590, Test MAPE: 0.0299
2022-10-10 03:41:33,500 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.4806, Test RMSE: 3.3405, Test MAPE: 0.0327
2022-10-10 03:41:33,502 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5549, Test RMSE: 3.5531, Test MAPE: 0.0350
2022-10-10 03:41:33,504 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.8957, Test RMSE: 4.0406, Test MAPE: 0.0491
2022-10-10 03:41:33,506 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 2.0118, Test RMSE: 4.3710, Test MAPE: 0.0542
2022-10-10 03:41:33,508 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.1537, Test RMSE: 4.6627, Test MAPE: 0.0590
2022-10-10 03:41:33,511 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.2589, Test RMSE: 5.0383, Test MAPE: 0.0642
2022-10-10 03:41:33,513 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.2763, Test RMSE: 5.1054, Test MAPE: 0.0648
2022-10-10 03:41:33,515 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.3171, Test RMSE: 5.1687, Test MAPE: 0.0657
2022-10-10 03:41:33,535 - easytorch-training - INFO - Result <test>: [test_time: 319.13 (s), test_MAE: 1.7101, test_RMSE: 3.9027, test_MAPE: 0.0432]
2022-10-10 03:41:35,074 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_046.pt saved
2022-10-10 03:41:35,074 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:39
2022-10-10 03:41:35,074 - easytorch-training - INFO - Epoch 47 / 100
2022-10-10 03:55:51,199 - easytorch-training - INFO - Result <train>: [train_time: 856.12 (s), lr: 1.25e-04, train_MAE: 1.2236, train_RMSE: 2.6163, train_MAPE: 0.0252]
2022-10-10 03:55:51,202 - easytorch-training - INFO - Start validation.
2022-10-10 03:58:30,924 - easytorch-training - INFO - Result <val>: [val_time: 159.72 (s), val_MAE: 1.8457, val_RMSE: 3.6357, val_MAPE: 0.0486]
2022-10-10 04:03:51,522 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8294, Test RMSE: 1.5150, Test MAPE: 0.0158
2022-10-10 04:03:51,525 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0873, Test RMSE: 2.1811, Test MAPE: 0.0217
2022-10-10 04:03:51,527 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2592, Test RMSE: 2.6806, Test MAPE: 0.0260
2022-10-10 04:03:51,530 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.3841, Test RMSE: 3.0523, Test MAPE: 0.0295
2022-10-10 04:03:51,532 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.4765, Test RMSE: 3.3295, Test MAPE: 0.0322
2022-10-10 04:03:51,534 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5496, Test RMSE: 3.5386, Test MAPE: 0.0345
2022-10-10 04:03:51,537 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.9230, Test RMSE: 4.0754, Test MAPE: 0.0498
2022-10-10 04:03:51,539 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 2.0383, Test RMSE: 4.4178, Test MAPE: 0.0550
2022-10-10 04:03:51,541 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.1829, Test RMSE: 4.7098, Test MAPE: 0.0599
2022-10-10 04:03:51,543 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.2801, Test RMSE: 5.0686, Test MAPE: 0.0647
2022-10-10 04:03:51,546 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.2983, Test RMSE: 5.1366, Test MAPE: 0.0653
2022-10-10 04:03:51,548 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.3386, Test RMSE: 5.1934, Test MAPE: 0.0661
2022-10-10 04:03:51,568 - easytorch-training - INFO - Result <test>: [test_time: 320.64 (s), test_MAE: 1.7206, test_RMSE: 3.9213, test_MAPE: 0.0434]
2022-10-10 04:03:53,099 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_047.pt saved
2022-10-10 04:03:53,099 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:42
2022-10-10 04:03:53,099 - easytorch-training - INFO - Epoch 48 / 100
2022-10-10 04:18:09,515 - easytorch-training - INFO - Result <train>: [train_time: 856.42 (s), lr: 1.25e-04, train_MAE: 1.2217, train_RMSE: 2.6182, train_MAPE: 0.0252]
2022-10-10 04:18:09,517 - easytorch-training - INFO - Start validation.
2022-10-10 04:20:49,619 - easytorch-training - INFO - Result <val>: [val_time: 160.10 (s), val_MAE: 1.8573, val_RMSE: 3.6541, val_MAPE: 0.0493]
2022-10-10 04:26:08,401 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8304, Test RMSE: 1.5176, Test MAPE: 0.0159
2022-10-10 04:26:08,404 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0879, Test RMSE: 2.1810, Test MAPE: 0.0218
2022-10-10 04:26:08,406 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2602, Test RMSE: 2.6797, Test MAPE: 0.0261
2022-10-10 04:26:08,409 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.3866, Test RMSE: 3.0551, Test MAPE: 0.0296
2022-10-10 04:26:08,411 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.4797, Test RMSE: 3.3354, Test MAPE: 0.0324
2022-10-10 04:26:08,413 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5525, Test RMSE: 3.5463, Test MAPE: 0.0347
2022-10-10 04:26:08,416 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.9420, Test RMSE: 4.1091, Test MAPE: 0.0509
2022-10-10 04:26:08,418 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 2.0593, Test RMSE: 4.4556, Test MAPE: 0.0561
2022-10-10 04:26:08,420 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.2041, Test RMSE: 4.7414, Test MAPE: 0.0608
2022-10-10 04:26:08,422 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.2978, Test RMSE: 5.0999, Test MAPE: 0.0655
2022-10-10 04:26:08,424 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.3152, Test RMSE: 5.1636, Test MAPE: 0.0660
2022-10-10 04:26:08,427 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.3501, Test RMSE: 5.2032, Test MAPE: 0.0665
2022-10-10 04:26:08,447 - easytorch-training - INFO - Result <test>: [test_time: 318.83 (s), test_MAE: 1.7305, test_RMSE: 3.9395, test_MAPE: 0.0439]
2022-10-10 04:26:09,989 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_048.pt saved
2022-10-10 04:26:09,990 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:42
2022-10-10 04:26:09,990 - easytorch-training - INFO - Epoch 49 / 100
2022-10-10 04:40:26,440 - easytorch-training - INFO - Result <train>: [train_time: 856.45 (s), lr: 1.25e-04, train_MAE: 1.2722, train_RMSE: 2.7516, train_MAPE: 0.0266]
2022-10-10 04:40:26,443 - easytorch-training - INFO - Start validation.
2022-10-10 04:43:05,708 - easytorch-training - INFO - Result <val>: [val_time: 159.26 (s), val_MAE: 1.8166, val_RMSE: 3.5983, val_MAPE: 0.0471]
2022-10-10 04:48:24,730 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8312, Test RMSE: 1.5165, Test MAPE: 0.0159
2022-10-10 04:48:24,733 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0894, Test RMSE: 2.1851, Test MAPE: 0.0217
2022-10-10 04:48:24,735 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2617, Test RMSE: 2.6868, Test MAPE: 0.0259
2022-10-10 04:48:24,738 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.3867, Test RMSE: 3.0573, Test MAPE: 0.0293
2022-10-10 04:48:24,740 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.4781, Test RMSE: 3.3306, Test MAPE: 0.0320
2022-10-10 04:48:24,742 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5501, Test RMSE: 3.5375, Test MAPE: 0.0343
2022-10-10 04:48:24,745 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6106, Test RMSE: 3.7025, Test MAPE: 0.0362
2022-10-10 04:48:24,747 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 2.0215, Test RMSE: 4.3150, Test MAPE: 0.0538
2022-10-10 04:48:24,749 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.1669, Test RMSE: 4.5974, Test MAPE: 0.0586
2022-10-10 04:48:24,751 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.2778, Test RMSE: 4.9864, Test MAPE: 0.0640
2022-10-10 04:48:24,754 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.3349, Test RMSE: 5.1870, Test MAPE: 0.0665
2022-10-10 04:48:24,756 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.3983, Test RMSE: 5.3093, Test MAPE: 0.0682
2022-10-10 04:48:24,776 - easytorch-training - INFO - Result <test>: [test_time: 319.07 (s), test_MAE: 1.7006, test_RMSE: 3.8802, test_MAPE: 0.0422]
2022-10-10 04:48:26,326 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_049.pt saved
2022-10-10 04:48:26,326 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:41
2022-10-10 04:48:26,327 - easytorch-training - INFO - Epoch 50 / 100
2022-10-10 05:02:43,471 - easytorch-training - INFO - Result <train>: [train_time: 857.14 (s), lr: 1.25e-04, train_MAE: 1.2685, train_RMSE: 2.7421, train_MAPE: 0.0265]
2022-10-10 05:02:43,473 - easytorch-training - INFO - Start validation.
2022-10-10 05:05:22,913 - easytorch-training - INFO - Result <val>: [val_time: 159.44 (s), val_MAE: 1.8412, val_RMSE: 3.6434, val_MAPE: 0.0481]
2022-10-10 05:10:44,072 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8302, Test RMSE: 1.5172, Test MAPE: 0.0159
2022-10-10 05:10:44,075 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0895, Test RMSE: 2.1871, Test MAPE: 0.0217
2022-10-10 05:10:44,077 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2629, Test RMSE: 2.6904, Test MAPE: 0.0259
2022-10-10 05:10:44,080 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.3877, Test RMSE: 3.0611, Test MAPE: 0.0293
2022-10-10 05:10:44,082 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.4811, Test RMSE: 3.3373, Test MAPE: 0.0321
2022-10-10 05:10:44,084 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5542, Test RMSE: 3.5455, Test MAPE: 0.0344
2022-10-10 05:10:44,086 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6142, Test RMSE: 3.7102, Test MAPE: 0.0364
2022-10-10 05:10:44,089 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 2.0832, Test RMSE: 4.4375, Test MAPE: 0.0563
2022-10-10 05:10:44,091 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.2285, Test RMSE: 4.7124, Test MAPE: 0.0608
2022-10-10 05:10:44,093 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.3246, Test RMSE: 5.0856, Test MAPE: 0.0658
2022-10-10 05:10:44,095 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.3779, Test RMSE: 5.2773, Test MAPE: 0.0681
2022-10-10 05:10:44,097 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.4362, Test RMSE: 5.3931, Test MAPE: 0.0697
2022-10-10 05:10:44,118 - easytorch-training - INFO - Result <test>: [test_time: 321.20 (s), test_MAE: 1.7225, test_RMSE: 3.9356, test_MAPE: 0.0430]
2022-10-10 05:10:45,661 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_050.pt saved
2022-10-10 05:10:46,418 - easytorch-training - INFO - The estimated training finish time is 2022-10-10 23:44:48
2022-10-10 05:10:46,418 - easytorch-training - INFO - Epoch 51 / 100
2022-10-10 05:25:03,519 - easytorch-training - INFO - Result <train>: [train_time: 857.10 (s), lr: 1.25e-04, train_MAE: 1.2673, train_RMSE: 2.7394, train_MAPE: 0.0264]
2022-10-10 05:25:03,521 - easytorch-training - INFO - Start validation.
2022-10-10 05:27:43,434 - easytorch-training - INFO - Result <val>: [val_time: 159.91 (s), val_MAE: 1.8756, val_RMSE: 3.7244, val_MAPE: 0.0497]
2022-10-10 05:33:02,374 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 0.8310, Test RMSE: 1.5202, Test MAPE: 0.0159
2022-10-10 05:33:02,377 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 1.0893, Test RMSE: 2.1868, Test MAPE: 0.0218
2022-10-10 05:33:02,380 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 1.2612, Test RMSE: 2.6863, Test MAPE: 0.0262
2022-10-10 05:33:02,382 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 1.3862, Test RMSE: 3.0579, Test MAPE: 0.0298
2022-10-10 05:33:02,384 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 1.4786, Test RMSE: 3.3387, Test MAPE: 0.0326
2022-10-10 05:33:02,387 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 1.5507, Test RMSE: 3.5508, Test MAPE: 0.0349
2022-10-10 05:33:02,389 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 1.6103, Test RMSE: 3.7153, Test MAPE: 0.0369
2022-10-10 05:33:02,391 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 2.1582, Test RMSE: 4.6242, Test MAPE: 0.0594
2022-10-10 05:33:02,393 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 2.3033, Test RMSE: 4.8988, Test MAPE: 0.0639
2022-10-10 05:33:02,396 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 2.3956, Test RMSE: 5.2694, Test MAPE: 0.0686
2022-10-10 05:33:02,398 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 2.4475, Test RMSE: 5.4598, Test MAPE: 0.0708
2022-10-10 05:33:02,400 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 2.5009, Test RMSE: 5.5640, Test MAPE: 0.0722
2022-10-10 05:33:02,421 - easytorch-training - INFO - Result <test>: [test_time: 318.98 (s), test_MAE: 1.7511, test_RMSE: 4.0325, test_MAPE: 0.0444]
2022-10-10 05:33:03,979 - easytorch-training - INFO - Checkpoint checkpoints/STEP_100/370c004bffed971961fb1f7b8e054dd6/STEP_051.pt saved