stformer_metrla.out

nohup: ignoring input
2024-08-13 21:07:11,879 - easytorch-launcher - INFO - Launching EasyTorch training.
DESCRIPTION: STformer model configuration
RUNNER: <class 'basicts.runners.runner_zoo.simple_tsf_runner.SimpleTimeSeriesForecastingRunner'>
DATASET_CLS: <class 'basicts.data.dataset_zoo.simple_tsf_dataset.TimeSeriesForecastingDataset'>
DATASET_NAME: METR-LA
DATASET_TYPE: Traffic speed
DATASET_INPUT_LEN: 12
DATASET_OUTPUT_LEN: 12
GPU_NUM: 8
NULL_VAL: 0.0
ENV:
  SEED: 1
  CUDNN:
    ENABLED: True
MODEL:
  NAME: STformer
  ARCH: <class 'baselines.STformer.arch.stformer_arch.STformer'>
  PARAM:
    num_nodes: 207
  FORWARD_FEATURES: [0, 1, 2]
  TARGET_FEATURES: [0]
TRAIN:
  LOSS: masked_mae
  OPTIM:
    TYPE: Adam
    PARAM:
      lr: 0.001
      weight_decay: 0.0003
  LR_SCHEDULER:
    TYPE: MultiStepLR
    PARAM:
      milestones: [20, 25]
      gamma: 0.1
  NUM_EPOCHS: 30
  CKPT_SAVE_DIR: checkpoints/STformer_30
  DATA:
    DIR: datasets/METR-LA
    BATCH_SIZE: 16
    PREFETCH: False
    SHUFFLE: True
    NUM_WORKERS: 2
    PIN_MEMORY: False
VAL:
  INTERVAL: 1
  DATA:
    DIR: datasets/METR-LA
    BATCH_SIZE: 16
    PREFETCH: False
    SHUFFLE: False
    NUM_WORKERS: 2
    PIN_MEMORY: False
TEST:
  INTERVAL: 1
  DATA:
    DIR: datasets/METR-LA
    BATCH_SIZE: 16
    PREFETCH: False
    SHUFFLE: False
    NUM_WORKERS: 2
    PIN_MEMORY: False
EVAL:
  HORIZONS: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]

2024-08-13 21:07:11,919 - easytorch-env - INFO - Use devices 0,1,2,3,6,7,8,9.
2024-08-13 21:07:16,663 - easytorch-launcher - INFO - Launching in distributed mode. Distributed parameters:word_size=8, node_rank=0, rank=7, local_rank=7, dist_backend=nccl, init_method=tcp://127.0.0.1:53768
2024-08-13 21:07:16,663 - easytorch-launcher - INFO - Launching in distributed mode. Distributed parameters:word_size=8, node_rank=0, rank=5, local_rank=5, dist_backend=nccl, init_method=tcp://127.0.0.1:53768
2024-08-13 21:07:16,737 - easytorch-launcher - INFO - Launching in distributed mode. Distributed parameters:word_size=8, node_rank=0, rank=0, local_rank=0, dist_backend=nccl, init_method=tcp://127.0.0.1:53768
2024-08-13 21:07:16,777 - easytorch-launcher - INFO - Launching in distributed mode. Distributed parameters:word_size=8, node_rank=0, rank=1, local_rank=1, dist_backend=nccl, init_method=tcp://127.0.0.1:53768
2024-08-13 21:07:16,877 - easytorch-launcher - INFO - Launching in distributed mode. Distributed parameters:word_size=8, node_rank=0, rank=3, local_rank=3, dist_backend=nccl, init_method=tcp://127.0.0.1:53768
2024-08-13 21:07:16,995 - easytorch-launcher - INFO - Launching in distributed mode. Distributed parameters:word_size=8, node_rank=0, rank=2, local_rank=2, dist_backend=nccl, init_method=tcp://127.0.0.1:53768
2024-08-13 21:07:16,996 - easytorch-launcher - INFO - Launching in distributed mode. Distributed parameters:word_size=8, node_rank=0, rank=6, local_rank=6, dist_backend=nccl, init_method=tcp://127.0.0.1:53768
2024-08-13 21:07:17,037 - easytorch-launcher - INFO - Launching in distributed mode. Distributed parameters:word_size=8, node_rank=0, rank=4, local_rank=4, dist_backend=nccl, init_method=tcp://127.0.0.1:53768
2024-08-13 21:07:20,219 - easytorch-launcher - INFO - Initializing runner "<class 'basicts.runners.runner_zoo.simple_tsf_runner.SimpleTimeSeriesForecastingRunner'>"
2024-08-13 21:07:20,220 - easytorch-env - INFO - Disable TF32 mode
2024-08-13 21:07:20,220 - easytorch - INFO - Set ckpt save dir: 'checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522'
2024-08-13 21:07:20,220 - easytorch - INFO - Building model.
2024-08-13 21:07:20,221 - easytorch-launcher - INFO - Initializing runner "<class 'basicts.runners.runner_zoo.simple_tsf_runner.SimpleTimeSeriesForecastingRunner'>"
2024-08-13 21:07:20,223 - easytorch-launcher - INFO - Initializing runner "<class 'basicts.runners.runner_zoo.simple_tsf_runner.SimpleTimeSeriesForecastingRunner'>"
2024-08-13 21:07:20,232 - easytorch-launcher - INFO - Initializing runner "<class 'basicts.runners.runner_zoo.simple_tsf_runner.SimpleTimeSeriesForecastingRunner'>"
2024-08-13 21:07:20,233 - easytorch-launcher - INFO - Initializing runner "<class 'basicts.runners.runner_zoo.simple_tsf_runner.SimpleTimeSeriesForecastingRunner'>"
2024-08-13 21:07:20,240 - easytorch-launcher - INFO - Initializing runner "<class 'basicts.runners.runner_zoo.simple_tsf_runner.SimpleTimeSeriesForecastingRunner'>"
2024-08-13 21:07:20,283 - easytorch-launcher - INFO - Initializing runner "<class 'basicts.runners.runner_zoo.simple_tsf_runner.SimpleTimeSeriesForecastingRunner'>"
2024-08-13 21:07:20,285 - easytorch-launcher - INFO - Initializing runner "<class 'basicts.runners.runner_zoo.simple_tsf_runner.SimpleTimeSeriesForecastingRunner'>"
2024-08-13 21:07:30,607 - easytorch-training - INFO - Initializing training.
2024-08-13 21:07:30,607 - easytorch-training - INFO - Building training data loader.
2024-08-13 21:07:30,900 - easytorch-training - INFO - Set optim: Adam (
Parameter Group 0
    amsgrad: False
    betas: (0.9, 0.999)
    eps: 1e-08
    lr: 0.001
    weight_decay: 0.0003
)
2024-08-13 21:07:30,901 - easytorch-training - INFO - Set lr_scheduler: <torch.optim.lr_scheduler.MultiStepLR object at 0x7f3d9ea6bd00>
train len: 23974
train len: 23974
train len: 23974
2024-08-13 21:07:30,904 - easytorch-training - INFO - Initializing validation.
2024-08-13 21:07:30,904 - easytorch-training - INFO - Building val data loader.
train len: 23974
train len: 23974
train len: 23974
train len: 23974
2024-08-13 21:07:31,399 - easytorch-training - INFO - Number of parameters: 743388
2024-08-13 21:07:31,399 - easytorch-training - INFO - Epoch 1 / 30
train len: 23974
val len: 3425
test len: 6850

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2024-08-13 21:08:08,454 - easytorch-training - INFO - Result <train>: [train_time: 37.06 (s), lr: 1.00e-03, train_MAE: 5.154119, train_RMSE: 8.647844, train_MAPE: 0.140720, train_WAPE: 0.088349, train_MSE: 81.899894]
2024-08-13 21:08:08,457 - easytorch-training - INFO - Start validation.

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2024-08-13 21:08:22,920 - easytorch-training - INFO - Result <val>: [val_time: 14.46 (s), val_MAE: 3.566049, val_RMSE: 6.302590, val_MAPE: 0.106257, val_WAPE: 0.064375, val_MSE: 51.391463]
2024-08-13 21:08:22,952 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:08:48,416 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.747247, Test RMSE: 4.824928, Test MAPE: 0.074838, Test WAPE: 0.047563, Test MSE: 23.279928
2024-08-13 21:08:48,425 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 3.190479, Test RMSE: 5.799137, Test MAPE: 0.089444, Test WAPE: 0.055236, Test MSE: 33.629990
2024-08-13 21:08:48,434 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 3.409054, Test RMSE: 6.381992, Test MAPE: 0.097756, Test WAPE: 0.059020, Test MSE: 40.729820
2024-08-13 21:08:48,442 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.679549, Test RMSE: 6.907391, Test MAPE: 0.107291, Test WAPE: 0.063703, Test MSE: 47.712048
2024-08-13 21:08:48,451 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.756282, Test RMSE: 7.237037, Test MAPE: 0.110263, Test WAPE: 0.065031, Test MSE: 52.374710
2024-08-13 21:08:48,460 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.896132, Test RMSE: 7.597481, Test MAPE: 0.115167, Test WAPE: 0.067452, Test MSE: 57.721722
2024-08-13 21:08:48,469 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 4.044031, Test RMSE: 7.880834, Test MAPE: 0.121445, Test WAPE: 0.070012, Test MSE: 62.107540
2024-08-13 21:08:48,477 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 4.224667, Test RMSE: 8.230330, Test MAPE: 0.127909, Test WAPE: 0.073139, Test MSE: 67.738327
2024-08-13 21:08:48,486 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 4.463444, Test RMSE: 8.578625, Test MAPE: 0.136183, Test WAPE: 0.077272, Test MSE: 73.592796
2024-08-13 21:08:48,494 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 4.511042, Test RMSE: 8.741735, Test MAPE: 0.138412, Test WAPE: 0.078096, Test MSE: 76.417938
2024-08-13 21:08:48,503 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 4.757172, Test RMSE: 9.089921, Test MAPE: 0.147094, Test WAPE: 0.082356, Test MSE: 82.626671
2024-08-13 21:08:48,512 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 4.888349, Test RMSE: 9.327539, Test MAPE: 0.152155, Test WAPE: 0.084627, Test MSE: 87.002991
2024-08-13 21:08:48,670 - easytorch-training - INFO - Result <test>: [test_time: 25.72 (s), test_MAE: 3.963945, test_RMSE: 7.664480, test_MAPE: 0.118163, test_WAPE: 0.068625, test_MSE: 58.744255]
2024-08-13 21:08:48,692 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_01.pt saved
2024-08-13 21:08:48,692 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:46:10
2024-08-13 21:08:48,692 - easytorch-training - INFO - Epoch 2 / 30

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2024-08-13 21:09:24,789 - easytorch-training - INFO - Result <train>: [train_time: 36.10 (s), lr: 1.00e-03, train_MAE: 3.663564, train_RMSE: 7.054575, train_MAPE: 0.102155, train_WAPE: 0.062652, train_MSE: 50.451173]
2024-08-13 21:09:24,791 - easytorch-training - INFO - Start validation.

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2024-08-13 21:09:38,846 - easytorch-training - INFO - Result <val>: [val_time: 14.06 (s), val_MAE: 3.357951, val_RMSE: 5.967731, val_MAPE: 0.097019, val_WAPE: 0.060505, val_MSE: 45.698226]
2024-08-13 21:09:38,893 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:10:04,431 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.629460, Test RMSE: 4.486884, Test MAPE: 0.068092, Test WAPE: 0.045524, Test MSE: 20.132126
2024-08-13 21:10:04,440 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.912812, Test RMSE: 5.359174, Test MAPE: 0.078702, Test WAPE: 0.050429, Test MSE: 28.720749
2024-08-13 21:10:04,449 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 3.154878, Test RMSE: 5.955785, Test MAPE: 0.086802, Test WAPE: 0.054620, Test MSE: 35.471378
2024-08-13 21:10:04,457 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.428794, Test RMSE: 6.430255, Test MAPE: 0.094998, Test WAPE: 0.059361, Test MSE: 41.348179
2024-08-13 21:10:04,466 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.537549, Test RMSE: 6.840355, Test MAPE: 0.100514, Test WAPE: 0.061244, Test MSE: 46.790459
2024-08-13 21:10:04,474 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.684664, Test RMSE: 7.217616, Test MAPE: 0.107046, Test WAPE: 0.063791, Test MSE: 52.093975
2024-08-13 21:10:04,483 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.824336, Test RMSE: 7.551079, Test MAPE: 0.112679, Test WAPE: 0.066208, Test MSE: 57.018791
2024-08-13 21:10:04,491 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 4.090322, Test RMSE: 7.784142, Test MAPE: 0.118853, Test WAPE: 0.070813, Test MSE: 60.592865
2024-08-13 21:10:04,499 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 4.101326, Test RMSE: 8.085564, Test MAPE: 0.122630, Test WAPE: 0.071003, Test MSE: 65.376335
2024-08-13 21:10:04,508 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 4.228040, Test RMSE: 8.342215, Test MAPE: 0.128636, Test WAPE: 0.073196, Test MSE: 69.592537
2024-08-13 21:10:04,516 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 4.385993, Test RMSE: 8.541928, Test MAPE: 0.132992, Test WAPE: 0.075930, Test MSE: 72.964546
2024-08-13 21:10:04,525 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 4.541210, Test RMSE: 8.757284, Test MAPE: 0.138712, Test WAPE: 0.078617, Test MSE: 76.690033
2024-08-13 21:10:04,701 - easytorch-training - INFO - Result <test>: [test_time: 25.81 (s), test_MAE: 3.709940, test_RMSE: 7.227199, test_MAPE: 0.107554, test_WAPE: 0.064228, test_MSE: 52.232407]
2024-08-13 21:10:04,723 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_02.pt saved
2024-08-13 21:10:04,723 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:51
2024-08-13 21:10:04,723 - easytorch-training - INFO - Epoch 3 / 30

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2024-08-13 21:10:40,561 - easytorch-training - INFO - Result <train>: [train_time: 35.84 (s), lr: 1.00e-03, train_MAE: 3.488320, train_RMSE: 6.817002, train_MAPE: 0.098076, train_WAPE: 0.059787, train_MSE: 47.146786]
2024-08-13 21:10:40,565 - easytorch-training - INFO - Start validation.

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2024-08-13 21:10:54,945 - easytorch-training - INFO - Result <val>: [val_time: 14.38 (s), val_MAE: 3.261544, val_RMSE: 5.994717, val_MAPE: 0.092423, val_WAPE: 0.058732, val_MSE: 45.676210]
2024-08-13 21:10:54,995 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:11:20,517 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.578501, Test RMSE: 4.449862, Test MAPE: 0.064787, Test WAPE: 0.044642, Test MSE: 19.801275
2024-08-13 21:11:20,526 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.843933, Test RMSE: 5.292665, Test MAPE: 0.074126, Test WAPE: 0.049237, Test MSE: 28.012297
2024-08-13 21:11:20,534 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 3.069929, Test RMSE: 5.902711, Test MAPE: 0.082116, Test WAPE: 0.053149, Test MSE: 34.841995
2024-08-13 21:11:20,543 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.291451, Test RMSE: 6.411676, Test MAPE: 0.090250, Test WAPE: 0.056984, Test MSE: 41.109592
2024-08-13 21:11:20,552 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.428487, Test RMSE: 6.801250, Test MAPE: 0.095491, Test WAPE: 0.059356, Test MSE: 46.257008
2024-08-13 21:11:20,560 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.573246, Test RMSE: 7.141304, Test MAPE: 0.101477, Test WAPE: 0.061862, Test MSE: 50.998230
2024-08-13 21:11:20,568 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.703330, Test RMSE: 7.444649, Test MAPE: 0.106293, Test WAPE: 0.064113, Test MSE: 55.422802
2024-08-13 21:11:20,578 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.844934, Test RMSE: 7.748535, Test MAPE: 0.112159, Test WAPE: 0.066565, Test MSE: 60.039795
2024-08-13 21:11:20,586 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 4.042361, Test RMSE: 8.072351, Test MAPE: 0.118948, Test WAPE: 0.069982, Test MSE: 65.162842
2024-08-13 21:11:20,595 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 4.179222, Test RMSE: 8.346123, Test MAPE: 0.124251, Test WAPE: 0.072351, Test MSE: 69.657768
2024-08-13 21:11:20,603 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 4.201092, Test RMSE: 8.493878, Test MAPE: 0.126954, Test WAPE: 0.072729, Test MSE: 72.145973
2024-08-13 21:11:20,611 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 4.342320, Test RMSE: 8.733637, Test MAPE: 0.132459, Test WAPE: 0.075174, Test MSE: 76.276405
2024-08-13 21:11:20,783 - easytorch-training - INFO - Result <test>: [test_time: 25.79 (s), test_MAE: 3.591559, test_RMSE: 7.186347, test_MAPE: 0.102442, test_WAPE: 0.062179, test_MSE: 51.643574]
2024-08-13 21:11:20,805 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_03.pt saved
2024-08-13 21:11:20,805 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:45
2024-08-13 21:11:20,805 - easytorch-training - INFO - Epoch 4 / 30

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2024-08-13 21:11:57,206 - easytorch-training - INFO - Result <train>: [train_time: 36.40 (s), lr: 1.00e-03, train_MAE: 3.386105, train_RMSE: 6.707648, train_MAPE: 0.095700, train_WAPE: 0.057975, train_MSE: 45.629702]
2024-08-13 21:11:57,209 - easytorch-training - INFO - Start validation.

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2024-08-13 21:12:11,526 - easytorch-training - INFO - Result <val>: [val_time: 14.32 (s), val_MAE: 3.172286, val_RMSE: 5.873847, val_MAPE: 0.090755, val_WAPE: 0.057060, val_MSE: 44.118239]
2024-08-13 21:12:11,569 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:12:36,830 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.499540, Test RMSE: 4.328016, Test MAPE: 0.063234, Test WAPE: 0.043275, Test MSE: 18.731726
2024-08-13 21:12:36,839 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.797583, Test RMSE: 5.220382, Test MAPE: 0.074041, Test WAPE: 0.048434, Test MSE: 27.252392
2024-08-13 21:12:36,848 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 3.024680, Test RMSE: 5.818161, Test MAPE: 0.082913, Test WAPE: 0.052366, Test MSE: 33.851002
2024-08-13 21:12:36,856 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.193439, Test RMSE: 6.261080, Test MAPE: 0.089200, Test WAPE: 0.055287, Test MSE: 39.201118
2024-08-13 21:12:36,865 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.353295, Test RMSE: 6.657882, Test MAPE: 0.095685, Test WAPE: 0.058054, Test MSE: 44.327389
2024-08-13 21:12:36,873 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.482533, Test RMSE: 6.983804, Test MAPE: 0.100757, Test WAPE: 0.060291, Test MSE: 48.773514
2024-08-13 21:12:36,881 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.606982, Test RMSE: 7.290668, Test MAPE: 0.105716, Test WAPE: 0.062445, Test MSE: 53.153843
2024-08-13 21:12:36,890 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.724124, Test RMSE: 7.550610, Test MAPE: 0.109885, Test WAPE: 0.064473, Test MSE: 57.011711
2024-08-13 21:12:36,898 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.834739, Test RMSE: 7.796774, Test MAPE: 0.114278, Test WAPE: 0.066388, Test MSE: 60.789684
2024-08-13 21:12:36,906 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.918615, Test RMSE: 7.986442, Test MAPE: 0.117278, Test WAPE: 0.067839, Test MSE: 63.783249
2024-08-13 21:12:36,915 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 4.016260, Test RMSE: 8.199202, Test MAPE: 0.121559, Test WAPE: 0.069529, Test MSE: 67.226913
2024-08-13 21:12:36,923 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 4.151703, Test RMSE: 8.439304, Test MAPE: 0.126570, Test WAPE: 0.071874, Test MSE: 71.221863
2024-08-13 21:12:37,095 - easytorch-training - INFO - Result <test>: [test_time: 25.53 (s), test_MAE: 3.466951, test_RMSE: 6.984039, test_MAPE: 0.100093, test_WAPE: 0.060021, test_MSE: 48.776798]
2024-08-13 21:12:37,117 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_04.pt saved
2024-08-13 21:12:37,117 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:44
2024-08-13 21:12:37,117 - easytorch-training - INFO - Epoch 5 / 30

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2024-08-13 21:13:13,414 - easytorch-training - INFO - Result <train>: [train_time: 36.30 (s), lr: 1.00e-03, train_MAE: 3.327572, train_RMSE: 6.574289, train_MAPE: 0.093161, train_WAPE: 0.057047, train_MSE: 43.719287]
2024-08-13 21:13:13,415 - easytorch-training - INFO - Start validation.

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2024-08-13 21:13:27,631 - easytorch-training - INFO - Result <val>: [val_time: 14.21 (s), val_MAE: 3.098855, val_RMSE: 5.745793, val_MAPE: 0.089792, val_WAPE: 0.055765, val_MSE: 41.986178]
2024-08-13 21:13:27,679 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:13:52,822 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.492283, Test RMSE: 4.304028, Test MAPE: 0.062781, Test WAPE: 0.043149, Test MSE: 18.524652
2024-08-13 21:13:52,832 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.773442, Test RMSE: 5.172763, Test MAPE: 0.072941, Test WAPE: 0.048016, Test MSE: 26.757481
2024-08-13 21:13:52,840 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.990269, Test RMSE: 5.735561, Test MAPE: 0.080830, Test WAPE: 0.051770, Test MSE: 32.896660
2024-08-13 21:13:52,849 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.143082, Test RMSE: 6.183222, Test MAPE: 0.088374, Test WAPE: 0.054415, Test MSE: 38.232231
2024-08-13 21:13:52,858 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.283285, Test RMSE: 6.539707, Test MAPE: 0.093925, Test WAPE: 0.056842, Test MSE: 42.767761
2024-08-13 21:13:52,867 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.405858, Test RMSE: 6.839777, Test MAPE: 0.099426, Test WAPE: 0.058964, Test MSE: 46.782547
2024-08-13 21:13:52,875 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.525743, Test RMSE: 7.139915, Test MAPE: 0.105325, Test WAPE: 0.061039, Test MSE: 50.978382
2024-08-13 21:13:52,884 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.624983, Test RMSE: 7.379712, Test MAPE: 0.109491, Test WAPE: 0.062757, Test MSE: 54.460144
2024-08-13 21:13:52,892 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.708721, Test RMSE: 7.579822, Test MAPE: 0.113418, Test WAPE: 0.064206, Test MSE: 57.453705
2024-08-13 21:13:52,901 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.793283, Test RMSE: 7.772317, Test MAPE: 0.116292, Test WAPE: 0.065670, Test MSE: 60.408913
2024-08-13 21:13:52,909 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.860842, Test RMSE: 7.903639, Test MAPE: 0.118851, Test WAPE: 0.066839, Test MSE: 62.467514
2024-08-13 21:13:52,918 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.957143, Test RMSE: 8.106956, Test MAPE: 0.122963, Test WAPE: 0.068506, Test MSE: 65.722725
2024-08-13 21:13:53,086 - easytorch-training - INFO - Result <test>: [test_time: 25.41 (s), test_MAE: 3.379905, test_RMSE: 6.815731, test_MAPE: 0.098718, test_WAPE: 0.058514, test_MSE: 46.454182]
2024-08-13 21:13:53,107 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_05.pt saved
2024-08-13 21:13:53,108 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:41
2024-08-13 21:13:53,108 - easytorch-training - INFO - Epoch 6 / 30

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2024-08-13 21:14:28,962 - easytorch-training - INFO - Result <train>: [train_time: 35.85 (s), lr: 1.00e-03, train_MAE: 3.270989, train_RMSE: 6.439662, train_MAPE: 0.091208, train_WAPE: 0.056111, train_MSE: 41.987077]
2024-08-13 21:14:28,964 - easytorch-training - INFO - Start validation.

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2024-08-13 21:14:43,220 - easytorch-training - INFO - Result <val>: [val_time: 14.25 (s), val_MAE: 3.102784, val_RMSE: 5.781039, val_MAPE: 0.089959, val_WAPE: 0.055768, val_MSE: 42.563806]
2024-08-13 21:15:08,489 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.453299, Test RMSE: 4.311114, Test MAPE: 0.062617, Test WAPE: 0.042474, Test MSE: 18.585709
2024-08-13 21:15:08,498 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.742415, Test RMSE: 5.156299, Test MAPE: 0.073085, Test WAPE: 0.047479, Test MSE: 26.587421
2024-08-13 21:15:08,507 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.946933, Test RMSE: 5.709418, Test MAPE: 0.080871, Test WAPE: 0.051020, Test MSE: 32.597458
2024-08-13 21:15:08,515 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.135707, Test RMSE: 6.163101, Test MAPE: 0.088614, Test WAPE: 0.054287, Test MSE: 37.983810
2024-08-13 21:15:08,524 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.272073, Test RMSE: 6.515912, Test MAPE: 0.094215, Test WAPE: 0.056648, Test MSE: 42.457108
2024-08-13 21:15:08,532 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.363863, Test RMSE: 6.783334, Test MAPE: 0.098272, Test WAPE: 0.058237, Test MSE: 46.013622
2024-08-13 21:15:08,541 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.555142, Test RMSE: 7.133756, Test MAPE: 0.105869, Test WAPE: 0.061548, Test MSE: 50.890469
2024-08-13 21:15:08,549 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.602989, Test RMSE: 7.326002, Test MAPE: 0.108559, Test WAPE: 0.062376, Test MSE: 53.670307
2024-08-13 21:15:08,558 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.674689, Test RMSE: 7.507896, Test MAPE: 0.111412, Test WAPE: 0.063617, Test MSE: 56.368511
2024-08-13 21:15:08,567 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.788622, Test RMSE: 7.720602, Test MAPE: 0.115305, Test WAPE: 0.065589, Test MSE: 59.607697
2024-08-13 21:15:08,575 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.899806, Test RMSE: 7.916405, Test MAPE: 0.119135, Test WAPE: 0.067513, Test MSE: 62.669468
2024-08-13 21:15:08,583 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.956083, Test RMSE: 8.057355, Test MAPE: 0.121823, Test WAPE: 0.068487, Test MSE: 64.920975
2024-08-13 21:15:08,746 - easytorch-training - INFO - Result <test>: [test_time: 25.52 (s), test_MAE: 3.365962, test_RMSE: 6.784480, test_MAPE: 0.098314, test_WAPE: 0.058273, test_MSE: 46.029171]
2024-08-13 21:15:08,768 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_06.pt saved
2024-08-13 21:15:08,768 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:38
2024-08-13 21:15:08,768 - easytorch-training - INFO - Epoch 7 / 30

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2024-08-13 21:15:44,772 - easytorch-training - INFO - Result <train>: [train_time: 36.00 (s), lr: 1.00e-03, train_MAE: 3.156516, train_RMSE: 6.242454, train_MAPE: 0.087359, train_WAPE: 0.054091, train_MSE: 39.590263]
2024-08-13 21:15:44,774 - easytorch-training - INFO - Start validation.

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2024-08-13 21:15:59,129 - easytorch-training - INFO - Result <val>: [val_time: 14.35 (s), val_MAE: 3.103816, val_RMSE: 5.668761, val_MAPE: 0.086341, val_WAPE: 0.055569, val_MSE: 40.937853]
2024-08-13 21:16:24,452 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.500300, Test RMSE: 4.264387, Test MAPE: 0.061220, Test WAPE: 0.043288, Test MSE: 18.184999
2024-08-13 21:16:24,461 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.823027, Test RMSE: 5.099785, Test MAPE: 0.071365, Test WAPE: 0.048875, Test MSE: 26.007812
2024-08-13 21:16:24,469 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 3.039683, Test RMSE: 5.643950, Test MAPE: 0.078662, Test WAPE: 0.052625, Test MSE: 31.854179
2024-08-13 21:16:24,478 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.138690, Test RMSE: 6.025083, Test MAPE: 0.084353, Test WAPE: 0.054339, Test MSE: 36.301624
2024-08-13 21:16:24,486 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.280219, Test RMSE: 6.354117, Test MAPE: 0.089642, Test WAPE: 0.056789, Test MSE: 40.374805
2024-08-13 21:16:24,495 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.342213, Test RMSE: 6.632385, Test MAPE: 0.094596, Test WAPE: 0.057862, Test MSE: 43.988537
2024-08-13 21:16:24,503 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.442593, Test RMSE: 6.849979, Test MAPE: 0.098555, Test WAPE: 0.059599, Test MSE: 46.922211
2024-08-13 21:16:24,512 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.505102, Test RMSE: 7.071609, Test MAPE: 0.102336, Test WAPE: 0.060681, Test MSE: 50.007645
2024-08-13 21:16:24,520 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.574950, Test RMSE: 7.221351, Test MAPE: 0.104485, Test WAPE: 0.061890, Test MSE: 52.147903
2024-08-13 21:16:24,529 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.643494, Test RMSE: 7.363217, Test MAPE: 0.108063, Test WAPE: 0.063076, Test MSE: 54.216965
2024-08-13 21:16:24,537 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.703650, Test RMSE: 7.529303, Test MAPE: 0.110408, Test WAPE: 0.064118, Test MSE: 56.690395
2024-08-13 21:16:24,545 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.781106, Test RMSE: 7.630294, Test MAPE: 0.113287, Test WAPE: 0.065458, Test MSE: 58.221382
2024-08-13 21:16:24,714 - easytorch-training - INFO - Result <test>: [test_time: 25.58 (s), test_MAE: 3.314580, test_RMSE: 6.550549, test_MAPE: 0.093081, test_WAPE: 0.057383, test_MSE: 42.909695]
2024-08-13 21:16:24,736 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_07.pt saved
2024-08-13 21:16:24,736 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:37
2024-08-13 21:16:24,736 - easytorch-training - INFO - Epoch 8 / 30

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2024-08-13 21:17:00,856 - easytorch-training - INFO - Result <train>: [train_time: 36.12 (s), lr: 1.00e-03, train_MAE: 3.118359, train_RMSE: 6.206505, train_MAPE: 0.086092, train_WAPE: 0.053307, train_MSE: 39.003973]
2024-08-13 21:17:00,860 - easytorch-training - INFO - Start validation.

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2024-08-13 21:17:15,026 - easytorch-training - INFO - Result <val>: [val_time: 14.17 (s), val_MAE: 3.016507, val_RMSE: 5.657746, val_MAPE: 0.087726, val_WAPE: 0.054145, val_MSE: 40.986148]
2024-08-13 21:17:15,075 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:17:40,378 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.449966, Test RMSE: 4.321367, Test MAPE: 0.062408, Test WAPE: 0.042416, Test MSE: 18.674212
2024-08-13 21:17:40,387 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.730193, Test RMSE: 5.139435, Test MAPE: 0.072864, Test WAPE: 0.047268, Test MSE: 26.413790
2024-08-13 21:17:40,399 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.926083, Test RMSE: 5.671341, Test MAPE: 0.080182, Test WAPE: 0.050659, Test MSE: 32.164116
2024-08-13 21:17:40,408 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.087125, Test RMSE: 6.091811, Test MAPE: 0.087249, Test WAPE: 0.053446, Test MSE: 37.110161
2024-08-13 21:17:40,416 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.251819, Test RMSE: 6.490931, Test MAPE: 0.093983, Test WAPE: 0.056297, Test MSE: 42.132187
2024-08-13 21:17:40,425 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.348655, Test RMSE: 6.778966, Test MAPE: 0.099217, Test WAPE: 0.057973, Test MSE: 45.954380
2024-08-13 21:17:40,433 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.457966, Test RMSE: 7.065561, Test MAPE: 0.103964, Test WAPE: 0.059866, Test MSE: 49.922157
2024-08-13 21:17:40,441 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.502872, Test RMSE: 7.228776, Test MAPE: 0.106244, Test WAPE: 0.060643, Test MSE: 52.255192
2024-08-13 21:17:40,450 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.575790, Test RMSE: 7.402629, Test MAPE: 0.109255, Test WAPE: 0.061905, Test MSE: 54.798916
2024-08-13 21:17:40,458 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.661768, Test RMSE: 7.577151, Test MAPE: 0.112616, Test WAPE: 0.063393, Test MSE: 57.413223
2024-08-13 21:17:40,466 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.713368, Test RMSE: 7.700184, Test MAPE: 0.114432, Test WAPE: 0.064286, Test MSE: 59.292835
2024-08-13 21:17:40,475 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.817279, Test RMSE: 7.869135, Test MAPE: 0.118509, Test WAPE: 0.066084, Test MSE: 61.923290
2024-08-13 21:17:40,653 - easytorch-training - INFO - Result <test>: [test_time: 25.58 (s), test_MAE: 3.293568, test_RMSE: 6.696095, test_MAPE: 0.096743, test_WAPE: 0.057020, test_MSE: 44.837681]
2024-08-13 21:17:40,674 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_08.pt saved
2024-08-13 21:17:40,675 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:36
2024-08-13 21:17:40,675 - easytorch-training - INFO - Epoch 9 / 30

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2024-08-13 21:18:16,629 - easytorch-training - INFO - Result <train>: [train_time: 35.95 (s), lr: 1.00e-03, train_MAE: 3.090455, train_RMSE: 6.114700, train_MAPE: 0.084393, train_WAPE: 0.052927, train_MSE: 37.780981]
2024-08-13 21:18:16,632 - easytorch-training - INFO - Start validation.

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2024-08-13 21:18:30,785 - easytorch-training - INFO - Result <val>: [val_time: 14.15 (s), val_MAE: 2.983628, val_RMSE: 5.549680, val_MAPE: 0.082650, val_WAPE: 0.053516, val_MSE: 38.882134]
2024-08-13 21:18:30,836 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:18:56,334 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.418995, Test RMSE: 4.218202, Test MAPE: 0.059203, Test WAPE: 0.041880, Test MSE: 17.793228
2024-08-13 21:18:56,343 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.691440, Test RMSE: 5.055771, Test MAPE: 0.068964, Test WAPE: 0.046597, Test MSE: 25.560823
2024-08-13 21:18:56,352 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.896649, Test RMSE: 5.616234, Test MAPE: 0.076533, Test WAPE: 0.050149, Test MSE: 31.542086
2024-08-13 21:18:56,361 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.037251, Test RMSE: 5.975551, Test MAPE: 0.082382, Test WAPE: 0.052583, Test MSE: 35.707211
2024-08-13 21:18:56,369 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.161308, Test RMSE: 6.288110, Test MAPE: 0.087225, Test WAPE: 0.054730, Test MSE: 39.540329
2024-08-13 21:18:56,378 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.264295, Test RMSE: 6.532819, Test MAPE: 0.091578, Test WAPE: 0.056513, Test MSE: 42.677731
2024-08-13 21:18:56,387 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.349045, Test RMSE: 6.735395, Test MAPE: 0.094661, Test WAPE: 0.057980, Test MSE: 45.365543
2024-08-13 21:18:56,395 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.418187, Test RMSE: 6.914231, Test MAPE: 0.097570, Test WAPE: 0.059177, Test MSE: 47.806591
2024-08-13 21:18:56,404 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.478338, Test RMSE: 7.064363, Test MAPE: 0.100240, Test WAPE: 0.060218, Test MSE: 49.905231
2024-08-13 21:18:56,412 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.538384, Test RMSE: 7.210427, Test MAPE: 0.102367, Test WAPE: 0.061257, Test MSE: 51.990257
2024-08-13 21:18:56,420 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.602259, Test RMSE: 7.334778, Test MAPE: 0.105103, Test WAPE: 0.062362, Test MSE: 53.798965
2024-08-13 21:18:56,429 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.670007, Test RMSE: 7.489366, Test MAPE: 0.107383, Test WAPE: 0.063535, Test MSE: 56.090607
2024-08-13 21:18:56,603 - easytorch-training - INFO - Result <test>: [test_time: 25.77 (s), test_MAE: 3.210508, test_RMSE: 6.440605, test_MAPE: 0.089434, test_WAPE: 0.055582, test_MSE: 41.481388]
2024-08-13 21:18:56,624 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_09.pt saved
2024-08-13 21:18:56,625 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:35
2024-08-13 21:18:56,625 - easytorch-training - INFO - Epoch 10 / 30

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2024-08-13 21:19:32,634 - easytorch-training - INFO - Result <train>: [train_time: 36.01 (s), lr: 1.00e-03, train_MAE: 3.061696, train_RMSE: 6.091547, train_MAPE: 0.084497, train_WAPE: 0.052394, train_MSE: 37.633380]
2024-08-13 21:19:32,637 - easytorch-training - INFO - Start validation.

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2024-08-13 21:19:47,018 - easytorch-training - INFO - Result <val>: [val_time: 14.38 (s), val_MAE: 3.022734, val_RMSE: 5.542001, val_MAPE: 0.083539, val_WAPE: 0.054176, val_MSE: 38.999872]
2024-08-13 21:20:12,211 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.487239, Test RMSE: 4.204054, Test MAPE: 0.060818, Test WAPE: 0.043062, Test MSE: 17.674068
2024-08-13 21:20:12,220 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.765673, Test RMSE: 5.057271, Test MAPE: 0.070513, Test WAPE: 0.047882, Test MSE: 25.575983
2024-08-13 21:20:12,228 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.945321, Test RMSE: 5.596912, Test MAPE: 0.077436, Test WAPE: 0.050992, Test MSE: 31.325430
2024-08-13 21:20:12,237 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.057731, Test RMSE: 5.996381, Test MAPE: 0.083214, Test WAPE: 0.052937, Test MSE: 35.956581
2024-08-13 21:20:12,246 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.176258, Test RMSE: 6.325394, Test MAPE: 0.087894, Test WAPE: 0.054989, Test MSE: 40.010612
2024-08-13 21:20:12,254 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.296902, Test RMSE: 6.569438, Test MAPE: 0.092769, Test WAPE: 0.057077, Test MSE: 43.157516
2024-08-13 21:20:12,263 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.339341, Test RMSE: 6.815259, Test MAPE: 0.095601, Test WAPE: 0.057812, Test MSE: 46.447746
2024-08-13 21:20:12,271 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.422662, Test RMSE: 7.008063, Test MAPE: 0.098512, Test WAPE: 0.059254, Test MSE: 49.112949
2024-08-13 21:20:12,280 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.503771, Test RMSE: 7.163201, Test MAPE: 0.101013, Test WAPE: 0.060658, Test MSE: 51.311451
2024-08-13 21:20:12,288 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.593833, Test RMSE: 7.295584, Test MAPE: 0.104026, Test WAPE: 0.062217, Test MSE: 53.225540
2024-08-13 21:20:12,297 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.679669, Test RMSE: 7.439198, Test MAPE: 0.106492, Test WAPE: 0.063702, Test MSE: 55.341671
2024-08-13 21:20:12,305 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.760555, Test RMSE: 7.605578, Test MAPE: 0.109168, Test WAPE: 0.065102, Test MSE: 57.844818
2024-08-13 21:20:12,482 - easytorch-training - INFO - Result <test>: [test_time: 25.46 (s), test_MAE: 3.252408, test_RMSE: 6.499887, test_MAPE: 0.090621, test_WAPE: 0.056307, test_MSE: 42.248524]
2024-08-13 21:20:12,503 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_10.pt saved
2024-08-13 21:20:12,513 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:34
2024-08-13 21:20:12,513 - easytorch-training - INFO - Epoch 11 / 30

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2024-08-13 21:20:48,849 - easytorch-training - INFO - Result <train>: [train_time: 36.34 (s), lr: 1.00e-03, train_MAE: 3.055423, train_RMSE: 6.086070, train_MAPE: 0.084130, train_WAPE: 0.052373, train_MSE: 37.508366]
2024-08-13 21:20:48,851 - easytorch-training - INFO - Start validation.

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2024-08-13 21:21:03,268 - easytorch-training - INFO - Result <val>: [val_time: 14.42 (s), val_MAE: 2.946255, val_RMSE: 5.553386, val_MAPE: 0.084173, val_WAPE: 0.052889, val_MSE: 39.242437]
2024-08-13 21:21:03,317 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:21:28,515 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.387810, Test RMSE: 4.202602, Test MAPE: 0.059885, Test WAPE: 0.041340, Test MSE: 17.661865
2024-08-13 21:21:28,524 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.686645, Test RMSE: 5.086454, Test MAPE: 0.070700, Test WAPE: 0.046514, Test MSE: 25.872011
2024-08-13 21:21:28,533 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.900802, Test RMSE: 5.651852, Test MAPE: 0.079004, Test WAPE: 0.050221, Test MSE: 31.943432
2024-08-13 21:21:28,542 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.045183, Test RMSE: 6.061126, Test MAPE: 0.085252, Test WAPE: 0.052720, Test MSE: 36.737247
2024-08-13 21:21:28,550 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.158201, Test RMSE: 6.384365, Test MAPE: 0.090086, Test WAPE: 0.054676, Test MSE: 40.760117
2024-08-13 21:21:28,559 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.259747, Test RMSE: 6.658053, Test MAPE: 0.094598, Test WAPE: 0.056434, Test MSE: 44.329670
2024-08-13 21:21:28,567 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.349364, Test RMSE: 6.899967, Test MAPE: 0.098154, Test WAPE: 0.057985, Test MSE: 47.609547
2024-08-13 21:21:28,575 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.450391, Test RMSE: 7.135281, Test MAPE: 0.102516, Test WAPE: 0.059734, Test MSE: 50.912228
2024-08-13 21:21:28,584 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.479878, Test RMSE: 7.257874, Test MAPE: 0.103808, Test WAPE: 0.060244, Test MSE: 52.676735
2024-08-13 21:21:28,592 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.535621, Test RMSE: 7.394836, Test MAPE: 0.106464, Test WAPE: 0.061209, Test MSE: 54.683601
2024-08-13 21:21:28,600 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.593417, Test RMSE: 7.540875, Test MAPE: 0.108579, Test WAPE: 0.062209, Test MSE: 56.864799
2024-08-13 21:21:28,608 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.657603, Test RMSE: 7.641871, Test MAPE: 0.110291, Test WAPE: 0.063320, Test MSE: 58.398190
2024-08-13 21:21:28,781 - easytorch-training - INFO - Result <test>: [test_time: 25.46 (s), test_MAE: 3.208717, test_RMSE: 6.572970, test_MAPE: 0.092445, test_WAPE: 0.055551, test_MSE: 43.203938]
2024-08-13 21:21:28,803 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_11.pt saved
2024-08-13 21:21:28,803 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:35
2024-08-13 21:21:28,803 - easytorch-training - INFO - Epoch 12 / 30

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2024-08-13 21:22:04,963 - easytorch-training - INFO - Result <train>: [train_time: 36.16 (s), lr: 1.00e-03, train_MAE: 3.013624, train_RMSE: 6.026324, train_MAPE: 0.081943, train_WAPE: 0.051452, train_MSE: 36.711225]
2024-08-13 21:22:04,965 - easytorch-training - INFO - Start validation.

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2024-08-13 21:22:19,164 - easytorch-training - INFO - Result <val>: [val_time: 14.20 (s), val_MAE: 2.946300, val_RMSE: 5.539591, val_MAPE: 0.085047, val_WAPE: 0.052921, val_MSE: 39.298588]
2024-08-13 21:22:44,333 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.395001, Test RMSE: 4.223265, Test MAPE: 0.060433, Test WAPE: 0.041465, Test MSE: 17.835970
2024-08-13 21:22:44,342 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.684456, Test RMSE: 5.081882, Test MAPE: 0.070839, Test WAPE: 0.046476, Test MSE: 25.825521
2024-08-13 21:22:44,351 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.883745, Test RMSE: 5.637622, Test MAPE: 0.079348, Test WAPE: 0.049926, Test MSE: 31.782785
2024-08-13 21:22:44,359 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.041786, Test RMSE: 6.075407, Test MAPE: 0.085873, Test WAPE: 0.052661, Test MSE: 36.910568
2024-08-13 21:22:44,368 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.159833, Test RMSE: 6.401273, Test MAPE: 0.091696, Test WAPE: 0.054705, Test MSE: 40.976295
2024-08-13 21:22:44,376 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.264444, Test RMSE: 6.676789, Test MAPE: 0.096353, Test WAPE: 0.056515, Test MSE: 44.579514
2024-08-13 21:22:44,385 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.333147, Test RMSE: 6.870466, Test MAPE: 0.099394, Test WAPE: 0.057705, Test MSE: 47.203300
2024-08-13 21:22:44,393 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.407424, Test RMSE: 7.052986, Test MAPE: 0.102692, Test WAPE: 0.058990, Test MSE: 49.744606
2024-08-13 21:22:44,402 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.463099, Test RMSE: 7.183049, Test MAPE: 0.104050, Test WAPE: 0.059954, Test MSE: 51.596195
2024-08-13 21:22:44,410 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.530089, Test RMSE: 7.316280, Test MAPE: 0.106597, Test WAPE: 0.061113, Test MSE: 53.527958
2024-08-13 21:22:44,419 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.585820, Test RMSE: 7.455631, Test MAPE: 0.108798, Test WAPE: 0.062078, Test MSE: 55.586437
2024-08-13 21:22:44,427 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.650481, Test RMSE: 7.594893, Test MAPE: 0.110578, Test WAPE: 0.063197, Test MSE: 57.682407
2024-08-13 21:22:44,588 - easytorch-training - INFO - Result <test>: [test_time: 25.42 (s), test_MAE: 3.199938, test_RMSE: 6.539938, test_MAPE: 0.093054, test_WAPE: 0.055399, test_MSE: 42.770790]
2024-08-13 21:22:44,610 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_12.pt saved
2024-08-13 21:22:44,610 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:34
2024-08-13 21:22:44,610 - easytorch-training - INFO - Epoch 13 / 30

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2024-08-13 21:23:20,391 - easytorch-training - INFO - Result <train>: [train_time: 35.78 (s), lr: 1.00e-03, train_MAE: 3.044960, train_RMSE: 6.055577, train_MAPE: 0.083298, train_WAPE: 0.052339, train_MSE: 37.121745]
2024-08-13 21:23:20,393 - easytorch-training - INFO - Start validation.

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2024-08-13 21:23:34,658 - easytorch-training - INFO - Result <val>: [val_time: 14.27 (s), val_MAE: 2.932210, val_RMSE: 5.531551, val_MAPE: 0.084695, val_WAPE: 0.052631, val_MSE: 38.867118]
2024-08-13 21:23:34,702 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:23:59,726 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.462944, Test RMSE: 4.320562, Test MAPE: 0.062406, Test WAPE: 0.042641, Test MSE: 18.667257
2024-08-13 21:23:59,735 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.715021, Test RMSE: 5.137174, Test MAPE: 0.071799, Test WAPE: 0.047005, Test MSE: 26.390558
2024-08-13 21:23:59,744 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.913856, Test RMSE: 5.687506, Test MAPE: 0.079793, Test WAPE: 0.050447, Test MSE: 32.347721
2024-08-13 21:23:59,752 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.045329, Test RMSE: 6.090116, Test MAPE: 0.085912, Test WAPE: 0.052723, Test MSE: 37.089512
2024-08-13 21:23:59,761 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.148249, Test RMSE: 6.414006, Test MAPE: 0.090866, Test WAPE: 0.054504, Test MSE: 41.139477
2024-08-13 21:23:59,769 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.250770, Test RMSE: 6.682659, Test MAPE: 0.095112, Test WAPE: 0.056279, Test MSE: 44.657925
2024-08-13 21:23:59,778 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.343127, Test RMSE: 6.902974, Test MAPE: 0.099521, Test WAPE: 0.057877, Test MSE: 47.651054
2024-08-13 21:23:59,786 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.412012, Test RMSE: 7.077659, Test MAPE: 0.102811, Test WAPE: 0.059070, Test MSE: 50.093254
2024-08-13 21:23:59,795 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.449252, Test RMSE: 7.185826, Test MAPE: 0.104156, Test WAPE: 0.059714, Test MSE: 51.636097
2024-08-13 21:23:59,803 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.524614, Test RMSE: 7.335341, Test MAPE: 0.108193, Test WAPE: 0.061018, Test MSE: 53.807232
2024-08-13 21:23:59,812 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.587603, Test RMSE: 7.451361, Test MAPE: 0.110789, Test WAPE: 0.062109, Test MSE: 55.522778
2024-08-13 21:23:59,820 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.647499, Test RMSE: 7.581564, Test MAPE: 0.113042, Test WAPE: 0.063145, Test MSE: 57.480110
2024-08-13 21:23:59,985 - easytorch-training - INFO - Result <test>: [test_time: 25.28 (s), test_MAE: 3.208351, test_RMSE: 6.560494, test_MAPE: 0.093700, test_WAPE: 0.055544, test_MSE: 43.040081]
2024-08-13 21:24:00,006 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_13.pt saved
2024-08-13 21:24:00,006 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:32
2024-08-13 21:24:00,006 - easytorch-training - INFO - Epoch 14 / 30

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2024-08-13 21:24:35,921 - easytorch-training - INFO - Result <train>: [train_time: 35.91 (s), lr: 1.00e-03, train_MAE: 3.008424, train_RMSE: 6.035683, train_MAPE: 0.083367, train_WAPE: 0.051517, train_MSE: 36.881113]
2024-08-13 21:24:35,924 - easytorch-training - INFO - Start validation.

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2024-08-13 21:24:50,087 - easytorch-training - INFO - Result <val>: [val_time: 14.16 (s), val_MAE: 2.940187, val_RMSE: 5.467136, val_MAPE: 0.083274, val_WAPE: 0.052754, val_MSE: 38.108246]
2024-08-13 21:25:15,230 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.370497, Test RMSE: 4.175202, Test MAPE: 0.059143, Test WAPE: 0.041041, Test MSE: 17.432310
2024-08-13 21:25:15,239 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.661713, Test RMSE: 5.046124, Test MAPE: 0.069824, Test WAPE: 0.046082, Test MSE: 25.463364
2024-08-13 21:25:15,247 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.862003, Test RMSE: 5.595245, Test MAPE: 0.077610, Test WAPE: 0.049549, Test MSE: 31.306767
2024-08-13 21:25:15,256 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.026628, Test RMSE: 6.004167, Test MAPE: 0.084073, Test WAPE: 0.052399, Test MSE: 36.050018
2024-08-13 21:25:15,264 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.151851, Test RMSE: 6.335071, Test MAPE: 0.089586, Test WAPE: 0.054566, Test MSE: 40.133118
2024-08-13 21:25:15,273 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.254426, Test RMSE: 6.600075, Test MAPE: 0.094279, Test WAPE: 0.056342, Test MSE: 43.560986
2024-08-13 21:25:15,281 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.345793, Test RMSE: 6.808657, Test MAPE: 0.098348, Test WAPE: 0.057924, Test MSE: 46.357807
2024-08-13 21:25:15,289 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.408514, Test RMSE: 6.993375, Test MAPE: 0.101808, Test WAPE: 0.059009, Test MSE: 48.907295
2024-08-13 21:25:15,298 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.493243, Test RMSE: 7.152020, Test MAPE: 0.104493, Test WAPE: 0.060476, Test MSE: 51.151390
2024-08-13 21:25:15,306 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.541835, Test RMSE: 7.308574, Test MAPE: 0.107011, Test WAPE: 0.061317, Test MSE: 53.415257
2024-08-13 21:25:15,314 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.589316, Test RMSE: 7.448565, Test MAPE: 0.109604, Test WAPE: 0.062138, Test MSE: 55.481125
2024-08-13 21:25:15,322 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.661385, Test RMSE: 7.560927, Test MAPE: 0.111314, Test WAPE: 0.063386, Test MSE: 57.167625
2024-08-13 21:25:15,493 - easytorch-training - INFO - Result <test>: [test_time: 25.40 (s), test_MAE: 3.197262, test_RMSE: 6.496313, test_MAPE: 0.092258, test_WAPE: 0.055352, test_MSE: 42.202084]
2024-08-13 21:25:15,514 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_14.pt saved
2024-08-13 21:25:15,514 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:31
2024-08-13 21:25:15,514 - easytorch-training - INFO - Epoch 15 / 30

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2024-08-13 21:25:51,405 - easytorch-training - INFO - Result <train>: [train_time: 35.89 (s), lr: 1.00e-03, train_MAE: 2.999863, train_RMSE: 6.002596, train_MAPE: 0.082139, train_WAPE: 0.051429, train_MSE: 36.434108]
2024-08-13 21:25:51,407 - easytorch-training - INFO - Start validation.

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2024-08-13 21:26:05,583 - easytorch-training - INFO - Result <val>: [val_time: 14.17 (s), val_MAE: 2.928840, val_RMSE: 5.522987, val_MAPE: 0.080874, val_WAPE: 0.052541, val_MSE: 38.814383]
2024-08-13 21:26:05,630 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:26:30,892 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.361028, Test RMSE: 4.154810, Test MAPE: 0.057810, Test WAPE: 0.040877, Test MSE: 17.262451
2024-08-13 21:26:30,901 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.656288, Test RMSE: 5.021465, Test MAPE: 0.067454, Test WAPE: 0.045988, Test MSE: 25.215107
2024-08-13 21:26:30,909 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.854142, Test RMSE: 5.548397, Test MAPE: 0.075242, Test WAPE: 0.049413, Test MSE: 30.784708
2024-08-13 21:26:30,918 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.001126, Test RMSE: 5.949129, Test MAPE: 0.081470, Test WAPE: 0.051957, Test MSE: 35.392136
2024-08-13 21:26:30,927 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.120198, Test RMSE: 6.305339, Test MAPE: 0.086643, Test WAPE: 0.054018, Test MSE: 39.757301
2024-08-13 21:26:30,935 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.216530, Test RMSE: 6.553463, Test MAPE: 0.089834, Test WAPE: 0.055686, Test MSE: 42.947872
2024-08-13 21:26:30,943 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.303476, Test RMSE: 6.788078, Test MAPE: 0.093575, Test WAPE: 0.057191, Test MSE: 46.078003
2024-08-13 21:26:30,952 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.386899, Test RMSE: 6.986190, Test MAPE: 0.096531, Test WAPE: 0.058635, Test MSE: 48.806847
2024-08-13 21:26:30,960 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.458859, Test RMSE: 7.158512, Test MAPE: 0.099251, Test WAPE: 0.059880, Test MSE: 51.244297
2024-08-13 21:26:30,968 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.523286, Test RMSE: 7.310112, Test MAPE: 0.101682, Test WAPE: 0.060995, Test MSE: 53.437729
2024-08-13 21:26:30,977 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.593649, Test RMSE: 7.473438, Test MAPE: 0.104201, Test WAPE: 0.062213, Test MSE: 55.852280
2024-08-13 21:26:30,985 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.698873, Test RMSE: 7.649284, Test MAPE: 0.107150, Test WAPE: 0.064035, Test MSE: 58.511547
2024-08-13 21:26:31,147 - easytorch-training - INFO - Result <test>: [test_time: 25.52 (s), test_MAE: 3.181191, test_RMSE: 6.489017, test_MAPE: 0.088403, test_WAPE: 0.055074, test_MSE: 42.107346]
2024-08-13 21:26:31,169 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_15.pt saved
2024-08-13 21:26:31,169 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:30
2024-08-13 21:26:31,169 - easytorch-training - INFO - Epoch 16 / 30

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2024-08-13 21:27:06,728 - easytorch-training - INFO - Result <train>: [train_time: 35.56 (s), lr: 1.00e-03, train_MAE: 2.939312, train_RMSE: 5.903801, train_MAPE: 0.080218, train_WAPE: 0.050137, train_MSE: 35.295752]
2024-08-13 21:27:06,731 - easytorch-training - INFO - Start validation.

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2024-08-13 21:27:20,806 - easytorch-training - INFO - Result <val>: [val_time: 14.07 (s), val_MAE: 2.892312, val_RMSE: 5.473489, val_MAPE: 0.084050, val_WAPE: 0.052027, val_MSE: 38.119955]
2024-08-13 21:27:20,849 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:27:46,331 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.370716, Test RMSE: 4.190100, Test MAPE: 0.059886, Test WAPE: 0.041044, Test MSE: 17.556938
2024-08-13 21:27:46,340 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.654817, Test RMSE: 5.063089, Test MAPE: 0.070181, Test WAPE: 0.045963, Test MSE: 25.634874
2024-08-13 21:27:46,348 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.859163, Test RMSE: 5.628052, Test MAPE: 0.078315, Test WAPE: 0.049500, Test MSE: 31.674969
2024-08-13 21:27:46,357 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.023987, Test RMSE: 6.070206, Test MAPE: 0.085330, Test WAPE: 0.052353, Test MSE: 36.847401
2024-08-13 21:27:46,365 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.152779, Test RMSE: 6.461871, Test MAPE: 0.091364, Test WAPE: 0.054582, Test MSE: 41.755779
2024-08-13 21:27:46,374 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.254209, Test RMSE: 6.747326, Test MAPE: 0.096065, Test WAPE: 0.056338, Test MSE: 45.526413
2024-08-13 21:27:46,382 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.322174, Test RMSE: 6.932468, Test MAPE: 0.099591, Test WAPE: 0.057515, Test MSE: 48.059116
2024-08-13 21:27:46,390 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.397988, Test RMSE: 7.112416, Test MAPE: 0.103137, Test WAPE: 0.058827, Test MSE: 50.586456
2024-08-13 21:27:46,399 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.463029, Test RMSE: 7.287729, Test MAPE: 0.106541, Test WAPE: 0.059953, Test MSE: 53.110996
2024-08-13 21:27:46,407 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.522882, Test RMSE: 7.440803, Test MAPE: 0.109688, Test WAPE: 0.060988, Test MSE: 55.365547
2024-08-13 21:27:46,415 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.585544, Test RMSE: 7.584226, Test MAPE: 0.113062, Test WAPE: 0.062073, Test MSE: 57.520485
2024-08-13 21:27:46,424 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.658032, Test RMSE: 7.734190, Test MAPE: 0.116184, Test WAPE: 0.063327, Test MSE: 59.817703
2024-08-13 21:27:46,608 - easytorch-training - INFO - Result <test>: [test_time: 25.76 (s), test_MAE: 3.188771, test_RMSE: 6.604635, test_MAPE: 0.094112, test_WAPE: 0.055205, test_MSE: 43.621208]
2024-08-13 21:27:46,630 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_16.pt saved
2024-08-13 21:27:46,630 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:29
2024-08-13 21:27:46,630 - easytorch-training - INFO - Epoch 17 / 30

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2024-08-13 21:28:22,201 - easytorch-training - INFO - Result <train>: [train_time: 35.57 (s), lr: 1.00e-03, train_MAE: 2.988924, train_RMSE: 5.983595, train_MAPE: 0.081721, train_WAPE: 0.051232, train_MSE: 36.358274]
2024-08-13 21:28:22,205 - easytorch-training - INFO - Start validation.

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2024-08-13 21:28:36,425 - easytorch-training - INFO - Result <val>: [val_time: 14.22 (s), val_MAE: 2.931480, val_RMSE: 5.495501, val_MAPE: 0.082000, val_WAPE: 0.052588, val_MSE: 38.342708]
2024-08-13 21:29:01,657 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.428719, Test RMSE: 4.163384, Test MAPE: 0.059079, Test WAPE: 0.042049, Test MSE: 17.333765
2024-08-13 21:29:01,666 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.690072, Test RMSE: 4.995715, Test MAPE: 0.068821, Test WAPE: 0.046573, Test MSE: 24.957167
2024-08-13 21:29:01,674 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.851050, Test RMSE: 5.528272, Test MAPE: 0.076192, Test WAPE: 0.049360, Test MSE: 30.561787
2024-08-13 21:29:01,683 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.021314, Test RMSE: 5.931611, Test MAPE: 0.082651, Test WAPE: 0.052307, Test MSE: 35.184006
2024-08-13 21:29:01,691 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.105851, Test RMSE: 6.281669, Test MAPE: 0.087467, Test WAPE: 0.053770, Test MSE: 39.459366
2024-08-13 21:29:01,700 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.194011, Test RMSE: 6.541123, Test MAPE: 0.091382, Test WAPE: 0.055296, Test MSE: 42.786289
2024-08-13 21:29:01,708 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.267438, Test RMSE: 6.735430, Test MAPE: 0.094452, Test WAPE: 0.056567, Test MSE: 45.366013
2024-08-13 21:29:01,716 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.342332, Test RMSE: 6.908412, Test MAPE: 0.097082, Test WAPE: 0.057863, Test MSE: 47.726166
2024-08-13 21:29:01,725 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.399637, Test RMSE: 7.079319, Test MAPE: 0.099531, Test WAPE: 0.058855, Test MSE: 50.116749
2024-08-13 21:29:01,734 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.459162, Test RMSE: 7.224335, Test MAPE: 0.101648, Test WAPE: 0.059885, Test MSE: 52.191010
2024-08-13 21:29:01,743 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.524019, Test RMSE: 7.370286, Test MAPE: 0.103947, Test WAPE: 0.061008, Test MSE: 54.321117
2024-08-13 21:29:01,751 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.579911, Test RMSE: 7.485343, Test MAPE: 0.105819, Test WAPE: 0.061975, Test MSE: 56.030365
2024-08-13 21:29:01,920 - easytorch-training - INFO - Result <test>: [test_time: 25.49 (s), test_MAE: 3.155288, test_RMSE: 6.429307, test_MAPE: 0.089006, test_WAPE: 0.054626, test_MSE: 41.335979]
2024-08-13 21:29:01,941 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_17.pt saved
2024-08-13 21:29:01,941 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:28
2024-08-13 21:29:01,941 - easytorch-training - INFO - Epoch 18 / 30

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2024-08-13 21:29:37,761 - easytorch-training - INFO - Result <train>: [train_time: 35.82 (s), lr: 1.00e-03, train_MAE: 2.988887, train_RMSE: 6.038910, train_MAPE: 0.082910, train_WAPE: 0.051208, train_MSE: 36.889522]
2024-08-13 21:29:37,764 - easytorch-training - INFO - Start validation.

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2024-08-13 21:29:52,030 - easytorch-training - INFO - Result <val>: [val_time: 14.27 (s), val_MAE: 2.927600, val_RMSE: 5.499948, val_MAPE: 0.083365, val_WAPE: 0.052594, val_MSE: 38.111518]
2024-08-13 21:30:17,239 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.544442, Test RMSE: 4.347070, Test MAPE: 0.063625, Test WAPE: 0.044052, Test MSE: 18.897020
2024-08-13 21:30:17,248 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.775815, Test RMSE: 5.149617, Test MAPE: 0.073203, Test WAPE: 0.048057, Test MSE: 26.518555
2024-08-13 21:30:17,257 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.973609, Test RMSE: 5.690095, Test MAPE: 0.081359, Test WAPE: 0.051481, Test MSE: 32.377182
2024-08-13 21:30:17,266 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.029077, Test RMSE: 6.029324, Test MAPE: 0.085508, Test WAPE: 0.052441, Test MSE: 36.352741
2024-08-13 21:30:17,274 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.159146, Test RMSE: 6.395563, Test MAPE: 0.090412, Test WAPE: 0.054693, Test MSE: 40.903225
2024-08-13 21:30:17,283 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.217336, Test RMSE: 6.616867, Test MAPE: 0.093625, Test WAPE: 0.055700, Test MSE: 43.782925
2024-08-13 21:30:17,291 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.300853, Test RMSE: 6.827171, Test MAPE: 0.096450, Test WAPE: 0.057146, Test MSE: 46.610271
2024-08-13 21:30:17,299 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.375319, Test RMSE: 7.003365, Test MAPE: 0.099328, Test WAPE: 0.058434, Test MSE: 49.047123
2024-08-13 21:30:17,308 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.445619, Test RMSE: 7.168912, Test MAPE: 0.102004, Test WAPE: 0.059651, Test MSE: 51.393307
2024-08-13 21:30:17,316 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.492608, Test RMSE: 7.306043, Test MAPE: 0.103679, Test WAPE: 0.060464, Test MSE: 53.378269
2024-08-13 21:30:17,324 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.548155, Test RMSE: 7.440446, Test MAPE: 0.105428, Test WAPE: 0.061426, Test MSE: 55.360245
2024-08-13 21:30:17,333 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.634753, Test RMSE: 7.591885, Test MAPE: 0.108254, Test WAPE: 0.062924, Test MSE: 57.636715
2024-08-13 21:30:17,510 - easytorch-training - INFO - Result <test>: [test_time: 25.48 (s), test_MAE: 3.208056, test_RMSE: 6.533603, test_MAPE: 0.091906, test_WAPE: 0.055539, test_MSE: 42.687962]
2024-08-13 21:30:17,531 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_18.pt saved
2024-08-13 21:30:17,532 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:28
2024-08-13 21:30:17,532 - easytorch-training - INFO - Epoch 19 / 30

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2024-08-13 21:30:53,323 - easytorch-training - INFO - Result <train>: [train_time: 35.79 (s), lr: 1.00e-03, train_MAE: 2.932197, train_RMSE: 5.891199, train_MAPE: 0.079783, train_WAPE: 0.050117, train_MSE: 35.127011]
2024-08-13 21:30:53,326 - easytorch-training - INFO - Start validation.

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2024-08-13 21:31:07,294 - easytorch-training - INFO - Result <val>: [val_time: 13.97 (s), val_MAE: 2.910221, val_RMSE: 5.473513, val_MAPE: 0.083865, val_WAPE: 0.052263, val_MSE: 38.111212]
2024-08-13 21:31:32,721 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.379303, Test RMSE: 4.200515, Test MAPE: 0.059348, Test WAPE: 0.041193, Test MSE: 17.644327
2024-08-13 21:31:32,730 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.679629, Test RMSE: 5.047109, Test MAPE: 0.069921, Test WAPE: 0.046392, Test MSE: 25.473305
2024-08-13 21:31:32,738 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.884011, Test RMSE: 5.597751, Test MAPE: 0.078350, Test WAPE: 0.049930, Test MSE: 31.334816
2024-08-13 21:31:32,747 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.033441, Test RMSE: 6.067415, Test MAPE: 0.085744, Test WAPE: 0.052517, Test MSE: 36.813522
2024-08-13 21:31:32,755 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.159699, Test RMSE: 6.445959, Test MAPE: 0.091434, Test WAPE: 0.054702, Test MSE: 41.550381
2024-08-13 21:31:32,764 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.260717, Test RMSE: 6.727078, Test MAPE: 0.096025, Test WAPE: 0.056451, Test MSE: 45.253586
2024-08-13 21:31:32,772 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.331122, Test RMSE: 6.935039, Test MAPE: 0.099660, Test WAPE: 0.057670, Test MSE: 48.094757
2024-08-13 21:31:32,781 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.408818, Test RMSE: 7.100865, Test MAPE: 0.102323, Test WAPE: 0.059014, Test MSE: 50.422283
2024-08-13 21:31:32,789 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.463864, Test RMSE: 7.281130, Test MAPE: 0.104950, Test WAPE: 0.059967, Test MSE: 53.014858
2024-08-13 21:31:32,797 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.527746, Test RMSE: 7.427846, Test MAPE: 0.107336, Test WAPE: 0.061073, Test MSE: 55.172905
2024-08-13 21:31:32,806 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.585760, Test RMSE: 7.531096, Test MAPE: 0.109224, Test WAPE: 0.062077, Test MSE: 56.717411
2024-08-13 21:31:32,814 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.653062, Test RMSE: 7.628397, Test MAPE: 0.111026, Test WAPE: 0.063241, Test MSE: 58.192440
2024-08-13 21:31:32,985 - easytorch-training - INFO - Result <test>: [test_time: 25.69 (s), test_MAE: 3.197259, test_RMSE: 6.580795, test_MAPE: 0.092945, test_WAPE: 0.055352, test_MSE: 43.306870]
2024-08-13 21:31:33,007 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_19.pt saved
2024-08-13 21:31:33,007 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:27
2024-08-13 21:31:33,007 - easytorch-training - INFO - Epoch 20 / 30

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2024-08-13 21:32:08,771 - easytorch-training - INFO - Result <train>: [train_time: 35.76 (s), lr: 1.00e-03, train_MAE: 2.966110, train_RMSE: 5.934685, train_MAPE: 0.080889, train_WAPE: 0.050833, train_MSE: 35.645338]
2024-08-13 21:32:08,773 - easytorch-training - INFO - Start validation.

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2024-08-13 21:32:22,984 - easytorch-training - INFO - Result <val>: [val_time: 14.21 (s), val_MAE: 2.900035, val_RMSE: 5.457369, val_MAPE: 0.085197, val_WAPE: 0.052192, val_MSE: 37.709806]
2024-08-13 21:32:48,080 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.368690, Test RMSE: 4.186764, Test MAPE: 0.060576, Test WAPE: 0.041009, Test MSE: 17.528990
2024-08-13 21:32:48,089 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.670371, Test RMSE: 5.052517, Test MAPE: 0.072001, Test WAPE: 0.046232, Test MSE: 25.527925
2024-08-13 21:32:48,098 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.888376, Test RMSE: 5.616862, Test MAPE: 0.080575, Test WAPE: 0.050006, Test MSE: 31.549141
2024-08-13 21:32:48,107 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 3.034512, Test RMSE: 6.040781, Test MAPE: 0.087241, Test WAPE: 0.052535, Test MSE: 36.491035
2024-08-13 21:32:48,115 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.173862, Test RMSE: 6.428050, Test MAPE: 0.093877, Test WAPE: 0.054947, Test MSE: 41.319820
2024-08-13 21:32:48,124 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.249605, Test RMSE: 6.688549, Test MAPE: 0.097787, Test WAPE: 0.056259, Test MSE: 44.736683
2024-08-13 21:32:48,132 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.333722, Test RMSE: 6.903050, Test MAPE: 0.101429, Test WAPE: 0.057715, Test MSE: 47.652107
2024-08-13 21:32:48,140 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.378238, Test RMSE: 7.043730, Test MAPE: 0.103352, Test WAPE: 0.058485, Test MSE: 49.614128
2024-08-13 21:32:48,149 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.468677, Test RMSE: 7.241649, Test MAPE: 0.107225, Test WAPE: 0.060050, Test MSE: 52.441483
2024-08-13 21:32:48,157 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.535405, Test RMSE: 7.402264, Test MAPE: 0.109745, Test WAPE: 0.061205, Test MSE: 54.793507
2024-08-13 21:32:48,165 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.574181, Test RMSE: 7.513472, Test MAPE: 0.111523, Test WAPE: 0.061876, Test MSE: 56.452259
2024-08-13 21:32:48,173 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.635378, Test RMSE: 7.631882, Test MAPE: 0.113841, Test WAPE: 0.062935, Test MSE: 58.245621
2024-08-13 21:32:48,343 - easytorch-training - INFO - Result <test>: [test_time: 25.36 (s), test_MAE: 3.192580, test_RMSE: 6.559666, test_MAPE: 0.094931, test_WAPE: 0.055271, test_MSE: 43.029213]
2024-08-13 21:32:48,365 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_20.pt saved
2024-08-13 21:32:48,375 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:26
2024-08-13 21:32:48,375 - easytorch-training - INFO - Epoch 21 / 30

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2024-08-13 21:33:24,155 - easytorch-training - INFO - Result <train>: [train_time: 35.78 (s), lr: 1.00e-04, train_MAE: 2.905627, train_RMSE: 5.884936, train_MAPE: 0.079318, train_WAPE: 0.049711, train_MSE: 35.051453]
2024-08-13 21:33:24,158 - easytorch-training - INFO - Start validation.

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2024-08-13 21:33:38,477 - easytorch-training - INFO - Result <val>: [val_time: 14.32 (s), val_MAE: 2.860823, val_RMSE: 5.429493, val_MAPE: 0.081834, val_WAPE: 0.051403, val_MSE: 37.434123]
2024-08-13 21:33:38,527 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:34:03,721 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.346440, Test RMSE: 4.161773, Test MAPE: 0.058532, Test WAPE: 0.040624, Test MSE: 17.320351
2024-08-13 21:34:03,730 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.630742, Test RMSE: 5.012218, Test MAPE: 0.068806, Test WAPE: 0.045546, Test MSE: 25.122328
2024-08-13 21:34:03,738 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.827134, Test RMSE: 5.550970, Test MAPE: 0.076711, Test WAPE: 0.048946, Test MSE: 30.813269
2024-08-13 21:34:03,747 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 2.979448, Test RMSE: 5.981218, Test MAPE: 0.083527, Test WAPE: 0.051582, Test MSE: 35.774967
2024-08-13 21:34:03,755 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.094789, Test RMSE: 6.341368, Test MAPE: 0.088881, Test WAPE: 0.053578, Test MSE: 40.212944
2024-08-13 21:34:03,764 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.185916, Test RMSE: 6.613035, Test MAPE: 0.093158, Test WAPE: 0.055156, Test MSE: 43.732227
2024-08-13 21:34:03,772 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.261750, Test RMSE: 6.816193, Test MAPE: 0.096447, Test WAPE: 0.056469, Test MSE: 46.460480
2024-08-13 21:34:03,780 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.332874, Test RMSE: 6.992044, Test MAPE: 0.099334, Test WAPE: 0.057700, Test MSE: 48.888687
2024-08-13 21:34:03,789 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.395917, Test RMSE: 7.154291, Test MAPE: 0.101923, Test WAPE: 0.058791, Test MSE: 51.183884
2024-08-13 21:34:03,797 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.450540, Test RMSE: 7.293316, Test MAPE: 0.104004, Test WAPE: 0.059736, Test MSE: 53.192463
2024-08-13 21:34:03,805 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.501186, Test RMSE: 7.416739, Test MAPE: 0.105939, Test WAPE: 0.060612, Test MSE: 55.008007
2024-08-13 21:34:03,814 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.558054, Test RMSE: 7.535601, Test MAPE: 0.107998, Test WAPE: 0.061597, Test MSE: 56.785282
2024-08-13 21:34:03,984 - easytorch-training - INFO - Result <test>: [test_time: 25.46 (s), test_MAE: 3.130394, test_RMSE: 6.483908, test_MAPE: 0.090438, test_WAPE: 0.054195, test_MSE: 42.041065]
2024-08-13 21:34:04,005 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_21.pt saved
2024-08-13 21:34:04,005 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:26
2024-08-13 21:34:04,005 - easytorch-training - INFO - Epoch 22 / 30

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2024-08-13 21:34:39,901 - easytorch-training - INFO - Result <train>: [train_time: 35.90 (s), lr: 1.00e-04, train_MAE: 2.901291, train_RMSE: 5.904191, train_MAPE: 0.080076, train_WAPE: 0.049653, train_MSE: 35.282714]
2024-08-13 21:34:39,903 - easytorch-training - INFO - Start validation.

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2024-08-13 21:34:53,895 - easytorch-training - INFO - Result <val>: [val_time: 13.99 (s), val_MAE: 2.856790, val_RMSE: 5.409415, val_MAPE: 0.080976, val_WAPE: 0.051292, val_MSE: 37.104746]
2024-08-13 21:34:53,948 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:35:19,367 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.343434, Test RMSE: 4.141272, Test MAPE: 0.057886, Test WAPE: 0.040572, Test MSE: 17.150131
2024-08-13 21:35:19,378 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.627264, Test RMSE: 4.993149, Test MAPE: 0.068118, Test WAPE: 0.045486, Test MSE: 24.931538
2024-08-13 21:35:19,387 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.823433, Test RMSE: 5.529166, Test MAPE: 0.075789, Test WAPE: 0.048881, Test MSE: 30.571674
2024-08-13 21:35:19,396 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 2.973826, Test RMSE: 5.943021, Test MAPE: 0.082438, Test WAPE: 0.051485, Test MSE: 35.319496
2024-08-13 21:35:19,404 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.086720, Test RMSE: 6.292069, Test MAPE: 0.087607, Test WAPE: 0.053439, Test MSE: 39.590137
2024-08-13 21:35:19,413 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.174797, Test RMSE: 6.553371, Test MAPE: 0.091473, Test WAPE: 0.054963, Test MSE: 42.946671
2024-08-13 21:35:19,421 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.250184, Test RMSE: 6.752684, Test MAPE: 0.094935, Test WAPE: 0.056268, Test MSE: 45.598743
2024-08-13 21:35:19,430 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.320652, Test RMSE: 6.928095, Test MAPE: 0.097915, Test WAPE: 0.057488, Test MSE: 47.998501
2024-08-13 21:35:19,438 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.380588, Test RMSE: 7.084449, Test MAPE: 0.100354, Test WAPE: 0.058525, Test MSE: 50.189415
2024-08-13 21:35:19,446 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.434381, Test RMSE: 7.219476, Test MAPE: 0.102634, Test WAPE: 0.059456, Test MSE: 52.120834
2024-08-13 21:35:19,455 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.485257, Test RMSE: 7.349259, Test MAPE: 0.104563, Test WAPE: 0.060337, Test MSE: 54.011604
2024-08-13 21:35:19,463 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.542391, Test RMSE: 7.466889, Test MAPE: 0.106758, Test WAPE: 0.061326, Test MSE: 55.754440
2024-08-13 21:35:19,635 - easytorch-training - INFO - Result <test>: [test_time: 25.69 (s), test_MAE: 3.120239, test_RMSE: 6.430274, test_MAPE: 0.089206, test_WAPE: 0.054019, test_MSE: 41.348431]
2024-08-13 21:35:19,656 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_22.pt saved
2024-08-13 21:35:19,656 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:26
2024-08-13 21:35:19,656 - easytorch-training - INFO - Epoch 23 / 30

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2024-08-13 21:35:55,525 - easytorch-training - INFO - Result <train>: [train_time: 35.87 (s), lr: 1.00e-04, train_MAE: 2.868120, train_RMSE: 5.798481, train_MAPE: 0.077311, train_WAPE: 0.049004, train_MSE: 33.956786]
2024-08-13 21:35:55,527 - easytorch-training - INFO - Start validation.

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2024-08-13 21:36:09,749 - easytorch-training - INFO - Result <val>: [val_time: 14.22 (s), val_MAE: 2.857479, val_RMSE: 5.413905, val_MAPE: 0.081414, val_WAPE: 0.051327, val_MSE: 37.221400]
2024-08-13 21:36:34,991 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.343323, Test RMSE: 4.138545, Test MAPE: 0.058004, Test WAPE: 0.040570, Test MSE: 17.127556
2024-08-13 21:36:35,000 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.626326, Test RMSE: 4.997964, Test MAPE: 0.068324, Test WAPE: 0.045469, Test MSE: 24.979649
2024-08-13 21:36:35,009 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.821924, Test RMSE: 5.531274, Test MAPE: 0.076190, Test WAPE: 0.048855, Test MSE: 30.594997
2024-08-13 21:36:35,017 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 2.973664, Test RMSE: 5.953164, Test MAPE: 0.083038, Test WAPE: 0.051482, Test MSE: 35.440155
2024-08-13 21:36:35,026 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.087633, Test RMSE: 6.307181, Test MAPE: 0.088285, Test WAPE: 0.053455, Test MSE: 39.780529
2024-08-13 21:36:35,034 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.177000, Test RMSE: 6.572098, Test MAPE: 0.092386, Test WAPE: 0.055002, Test MSE: 43.192478
2024-08-13 21:36:35,043 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.251525, Test RMSE: 6.769303, Test MAPE: 0.095450, Test WAPE: 0.056292, Test MSE: 45.823460
2024-08-13 21:36:35,051 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.323897, Test RMSE: 6.950070, Test MAPE: 0.098648, Test WAPE: 0.057544, Test MSE: 48.303474
2024-08-13 21:36:35,060 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.382721, Test RMSE: 7.100499, Test MAPE: 0.100860, Test WAPE: 0.058562, Test MSE: 50.417091
2024-08-13 21:36:35,068 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.437817, Test RMSE: 7.242564, Test MAPE: 0.103118, Test WAPE: 0.059516, Test MSE: 52.454727
2024-08-13 21:36:35,076 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.490260, Test RMSE: 7.366965, Test MAPE: 0.105237, Test WAPE: 0.060423, Test MSE: 54.272167
2024-08-13 21:36:35,085 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.547767, Test RMSE: 7.488300, Test MAPE: 0.107388, Test WAPE: 0.061419, Test MSE: 56.074635
2024-08-13 21:36:35,249 - easytorch-training - INFO - Result <test>: [test_time: 25.50 (s), test_MAE: 3.121983, test_RMSE: 6.445016, test_MAPE: 0.089744, test_WAPE: 0.054049, test_MSE: 41.538239]
2024-08-13 21:36:35,270 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_23.pt saved
2024-08-13 21:36:35,270 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:26
2024-08-13 21:36:35,270 - easytorch-training - INFO - Epoch 24 / 30

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2024-08-13 21:37:11,297 - easytorch-training - INFO - Result <train>: [train_time: 36.03 (s), lr: 1.00e-04, train_MAE: 2.880500, train_RMSE: 5.846698, train_MAPE: 0.078945, train_WAPE: 0.049280, train_MSE: 34.609553]
2024-08-13 21:37:11,300 - easytorch-training - INFO - Start validation.

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2024-08-13 21:37:25,555 - easytorch-training - INFO - Result <val>: [val_time: 14.25 (s), val_MAE: 2.855218, val_RMSE: 5.417254, val_MAPE: 0.080723, val_WAPE: 0.051278, val_MSE: 37.247766]
2024-08-13 21:37:25,604 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_best_val_MAE.pt saved
2024-08-13 21:37:50,896 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.341945, Test RMSE: 4.149491, Test MAPE: 0.057944, Test WAPE: 0.040546, Test MSE: 17.218279
2024-08-13 21:37:50,905 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.626499, Test RMSE: 5.006814, Test MAPE: 0.067992, Test WAPE: 0.045472, Test MSE: 25.068192
2024-08-13 21:37:50,914 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.822320, Test RMSE: 5.543837, Test MAPE: 0.075644, Test WAPE: 0.048862, Test MSE: 30.734131
2024-08-13 21:37:50,923 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 2.973889, Test RMSE: 5.960018, Test MAPE: 0.082149, Test WAPE: 0.051486, Test MSE: 35.521812
2024-08-13 21:37:50,931 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.086258, Test RMSE: 6.312636, Test MAPE: 0.087301, Test WAPE: 0.053431, Test MSE: 39.849377
2024-08-13 21:37:50,940 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.174779, Test RMSE: 6.582443, Test MAPE: 0.091326, Test WAPE: 0.054963, Test MSE: 43.328552
2024-08-13 21:37:50,948 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.248819, Test RMSE: 6.778419, Test MAPE: 0.094650, Test WAPE: 0.056245, Test MSE: 45.946960
2024-08-13 21:37:50,957 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.318261, Test RMSE: 6.948481, Test MAPE: 0.097653, Test WAPE: 0.057447, Test MSE: 48.281384
2024-08-13 21:37:50,966 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.378085, Test RMSE: 7.100991, Test MAPE: 0.100219, Test WAPE: 0.058482, Test MSE: 50.424080
2024-08-13 21:37:50,974 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.432600, Test RMSE: 7.247346, Test MAPE: 0.102712, Test WAPE: 0.059425, Test MSE: 52.524025
2024-08-13 21:37:50,983 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.485114, Test RMSE: 7.363933, Test MAPE: 0.104602, Test WAPE: 0.060334, Test MSE: 54.227505
2024-08-13 21:37:50,991 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.544765, Test RMSE: 7.487547, Test MAPE: 0.106797, Test WAPE: 0.061367, Test MSE: 56.063366
2024-08-13 21:37:51,162 - easytorch-training - INFO - Result <test>: [test_time: 25.56 (s), test_MAE: 3.119440, test_RMSE: 6.449714, test_MAPE: 0.089082, test_WAPE: 0.054005, test_MSE: 41.598804]
2024-08-13 21:37:51,183 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_24.pt saved
2024-08-13 21:37:51,183 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:26
2024-08-13 21:37:51,183 - easytorch-training - INFO - Epoch 25 / 30

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2024-08-13 21:38:27,047 - easytorch-training - INFO - Result <train>: [train_time: 35.86 (s), lr: 1.00e-04, train_MAE: 2.875293, train_RMSE: 5.813895, train_MAPE: 0.077962, train_WAPE: 0.049156, train_MSE: 34.170813]
2024-08-13 21:38:27,049 - easytorch-training - INFO - Start validation.

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2024-08-13 21:38:41,164 - easytorch-training - INFO - Result <val>: [val_time: 14.11 (s), val_MAE: 2.860548, val_RMSE: 5.423989, val_MAPE: 0.081436, val_WAPE: 0.051373, val_MSE: 37.450416]
2024-08-13 21:39:06,528 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.343418, Test RMSE: 4.148175, Test MAPE: 0.058257, Test WAPE: 0.040572, Test MSE: 17.207357
2024-08-13 21:39:06,537 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.627753, Test RMSE: 4.999684, Test MAPE: 0.068540, Test WAPE: 0.045494, Test MSE: 24.996838
2024-08-13 21:39:06,546 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.824505, Test RMSE: 5.536177, Test MAPE: 0.076351, Test WAPE: 0.048900, Test MSE: 30.649256
2024-08-13 21:39:06,555 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 2.976385, Test RMSE: 5.962560, Test MAPE: 0.083134, Test WAPE: 0.051529, Test MSE: 35.552120
2024-08-13 21:39:06,563 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.091430, Test RMSE: 6.324880, Test MAPE: 0.088485, Test WAPE: 0.053520, Test MSE: 40.004101
2024-08-13 21:39:06,573 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.180265, Test RMSE: 6.590910, Test MAPE: 0.092662, Test WAPE: 0.055058, Test MSE: 43.440094
2024-08-13 21:39:06,581 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.254879, Test RMSE: 6.790267, Test MAPE: 0.095901, Test WAPE: 0.056350, Test MSE: 46.107723
2024-08-13 21:39:06,590 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.326083, Test RMSE: 6.965159, Test MAPE: 0.098949, Test WAPE: 0.057582, Test MSE: 48.513443
2024-08-13 21:39:06,598 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.387250, Test RMSE: 7.127812, Test MAPE: 0.101370, Test WAPE: 0.058641, Test MSE: 50.805710
2024-08-13 21:39:06,606 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.441221, Test RMSE: 7.266572, Test MAPE: 0.103630, Test WAPE: 0.059575, Test MSE: 52.803059
2024-08-13 21:39:06,615 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.489993, Test RMSE: 7.387330, Test MAPE: 0.105282, Test WAPE: 0.060419, Test MSE: 54.572636
2024-08-13 21:39:06,623 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.546160, Test RMSE: 7.503328, Test MAPE: 0.107279, Test WAPE: 0.061391, Test MSE: 56.299934
2024-08-13 21:39:06,794 - easytorch-training - INFO - Result <test>: [test_time: 25.63 (s), test_MAE: 3.124107, test_RMSE: 6.461103, test_MAPE: 0.089987, test_WAPE: 0.054086, test_MSE: 41.745853]
2024-08-13 21:39:06,814 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_25.pt saved
2024-08-13 21:39:06,814 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:25
2024-08-13 21:39:06,815 - easytorch-training - INFO - Epoch 26 / 30

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2024-08-13 21:39:42,626 - easytorch-training - INFO - Result <train>: [train_time: 35.81 (s), lr: 1.00e-05, train_MAE: 2.872768, train_RMSE: 5.837362, train_MAPE: 0.078941, train_WAPE: 0.049121, train_MSE: 34.450581]
2024-08-13 21:39:42,628 - easytorch-training - INFO - Start validation.

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2024-08-13 21:39:56,775 - easytorch-training - INFO - Result <val>: [val_time: 14.15 (s), val_MAE: 2.856575, val_RMSE: 5.414926, val_MAPE: 0.080782, val_WAPE: 0.051297, val_MSE: 37.241921]
2024-08-13 21:40:22,006 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.341440, Test RMSE: 4.146572, Test MAPE: 0.057927, Test WAPE: 0.040538, Test MSE: 17.194057
2024-08-13 21:40:22,015 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.625286, Test RMSE: 4.999190, Test MAPE: 0.068085, Test WAPE: 0.045451, Test MSE: 24.991899
2024-08-13 21:40:22,023 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.820587, Test RMSE: 5.533851, Test MAPE: 0.075752, Test WAPE: 0.048832, Test MSE: 30.623507
2024-08-13 21:40:22,032 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 2.970150, Test RMSE: 5.948211, Test MAPE: 0.082351, Test WAPE: 0.051421, Test MSE: 35.381214
2024-08-13 21:40:22,040 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.082827, Test RMSE: 6.299316, Test MAPE: 0.087410, Test WAPE: 0.053371, Test MSE: 39.681385
2024-08-13 21:40:22,049 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.170326, Test RMSE: 6.559520, Test MAPE: 0.091345, Test WAPE: 0.054886, Test MSE: 43.027306
2024-08-13 21:40:22,057 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.245417, Test RMSE: 6.758001, Test MAPE: 0.094593, Test WAPE: 0.056186, Test MSE: 45.670582
2024-08-13 21:40:22,065 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.315977, Test RMSE: 6.931098, Test MAPE: 0.097467, Test WAPE: 0.057407, Test MSE: 48.040115
2024-08-13 21:40:22,074 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.376360, Test RMSE: 7.087945, Test MAPE: 0.099944, Test WAPE: 0.058452, Test MSE: 50.238964
2024-08-13 21:40:22,082 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.429771, Test RMSE: 7.224737, Test MAPE: 0.102038, Test WAPE: 0.059376, Test MSE: 52.196819
2024-08-13 21:40:22,090 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.480771, Test RMSE: 7.348022, Test MAPE: 0.103942, Test WAPE: 0.060259, Test MSE: 53.993420
2024-08-13 21:40:22,098 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.537618, Test RMSE: 7.468464, Test MAPE: 0.105983, Test WAPE: 0.061243, Test MSE: 55.777958
2024-08-13 21:40:22,256 - easytorch-training - INFO - Result <test>: [test_time: 25.48 (s), test_MAE: 3.116372, test_RMSE: 6.434381, test_MAPE: 0.088903, test_WAPE: 0.053952, test_MSE: 41.401268]
2024-08-13 21:40:22,277 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_26.pt saved
2024-08-13 21:40:22,277 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:25
2024-08-13 21:40:22,277 - easytorch-training - INFO - Epoch 27 / 30

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2024-08-13 21:40:57,930 - easytorch-training - INFO - Result <train>: [train_time: 35.65 (s), lr: 1.00e-05, train_MAE: 2.874257, train_RMSE: 5.844987, train_MAPE: 0.078651, train_WAPE: 0.049229, train_MSE: 34.613622]
2024-08-13 21:40:57,933 - easytorch-training - INFO - Start validation.

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2024-08-13 21:41:12,185 - easytorch-training - INFO - Result <val>: [val_time: 14.25 (s), val_MAE: 2.857425, val_RMSE: 5.422394, val_MAPE: 0.080900, val_WAPE: 0.051317, val_MSE: 37.357912]
2024-08-13 21:41:37,481 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.342772, Test RMSE: 4.152335, Test MAPE: 0.057989, Test WAPE: 0.040561, Test MSE: 17.241884
2024-08-13 21:41:37,490 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.626791, Test RMSE: 5.005478, Test MAPE: 0.068161, Test WAPE: 0.045477, Test MSE: 25.054808
2024-08-13 21:41:37,499 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.822330, Test RMSE: 5.541279, Test MAPE: 0.075857, Test WAPE: 0.048862, Test MSE: 30.705778
2024-08-13 21:41:37,507 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 2.972694, Test RMSE: 5.961264, Test MAPE: 0.082544, Test WAPE: 0.051465, Test MSE: 35.536667
2024-08-13 21:41:37,516 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.085862, Test RMSE: 6.314647, Test MAPE: 0.087636, Test WAPE: 0.053424, Test MSE: 39.874771
2024-08-13 21:41:37,524 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.173618, Test RMSE: 6.576881, Test MAPE: 0.091550, Test WAPE: 0.054943, Test MSE: 43.255367
2024-08-13 21:41:37,533 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.248524, Test RMSE: 6.774691, Test MAPE: 0.094734, Test WAPE: 0.056240, Test MSE: 45.896435
2024-08-13 21:41:37,541 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.319249, Test RMSE: 6.949178, Test MAPE: 0.097653, Test WAPE: 0.057464, Test MSE: 48.291080
2024-08-13 21:41:37,549 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.379751, Test RMSE: 7.107106, Test MAPE: 0.100151, Test WAPE: 0.058511, Test MSE: 50.510956
2024-08-13 21:41:37,557 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.433182, Test RMSE: 7.245334, Test MAPE: 0.102287, Test WAPE: 0.059436, Test MSE: 52.494869
2024-08-13 21:41:37,566 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.484294, Test RMSE: 7.368476, Test MAPE: 0.104165, Test WAPE: 0.060320, Test MSE: 54.294441
2024-08-13 21:41:37,574 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.541322, Test RMSE: 7.488291, Test MAPE: 0.106208, Test WAPE: 0.061307, Test MSE: 56.074509
2024-08-13 21:41:37,736 - easytorch-training - INFO - Result <test>: [test_time: 25.55 (s), test_MAE: 3.119194, test_RMSE: 6.449997, test_MAPE: 0.089078, test_WAPE: 0.054001, test_MSE: 41.602459]
2024-08-13 21:41:37,757 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_27.pt saved
2024-08-13 21:41:37,757 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:25
2024-08-13 21:41:37,757 - easytorch-training - INFO - Epoch 28 / 30

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2024-08-13 21:42:13,517 - easytorch-training - INFO - Result <train>: [train_time: 35.76 (s), lr: 1.00e-05, train_MAE: 2.865038, train_RMSE: 5.798227, train_MAPE: 0.077421, train_WAPE: 0.048971, train_MSE: 34.022768]
2024-08-13 21:42:13,520 - easytorch-training - INFO - Start validation.

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2024-08-13 21:42:27,967 - easytorch-training - INFO - Result <val>: [val_time: 14.45 (s), val_MAE: 2.858129, val_RMSE: 5.417764, val_MAPE: 0.080913, val_WAPE: 0.051325, val_MSE: 37.308414]
2024-08-13 21:42:53,117 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.342102, Test RMSE: 4.146435, Test MAPE: 0.057959, Test WAPE: 0.040549, Test MSE: 17.192923
2024-08-13 21:42:53,127 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.626063, Test RMSE: 4.997212, Test MAPE: 0.068125, Test WAPE: 0.045465, Test MSE: 24.972126
2024-08-13 21:42:53,136 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.821661, Test RMSE: 5.531698, Test MAPE: 0.075856, Test WAPE: 0.048851, Test MSE: 30.599686
2024-08-13 21:42:53,145 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 2.972525, Test RMSE: 5.952087, Test MAPE: 0.082535, Test WAPE: 0.051462, Test MSE: 35.427345
2024-08-13 21:42:53,155 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.086115, Test RMSE: 6.307190, Test MAPE: 0.087635, Test WAPE: 0.053428, Test MSE: 39.780651
2024-08-13 21:42:53,164 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.173859, Test RMSE: 6.569384, Test MAPE: 0.091524, Test WAPE: 0.054947, Test MSE: 43.156807
2024-08-13 21:42:53,173 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.248910, Test RMSE: 6.768449, Test MAPE: 0.094795, Test WAPE: 0.056246, Test MSE: 45.811909
2024-08-13 21:42:53,182 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.319610, Test RMSE: 6.942871, Test MAPE: 0.097735, Test WAPE: 0.057470, Test MSE: 48.203461
2024-08-13 21:42:53,191 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.379864, Test RMSE: 7.100354, Test MAPE: 0.100177, Test WAPE: 0.058513, Test MSE: 50.415028
2024-08-13 21:42:53,200 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.433368, Test RMSE: 7.237715, Test MAPE: 0.102291, Test WAPE: 0.059439, Test MSE: 52.384518
2024-08-13 21:42:53,209 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.484534, Test RMSE: 7.362166, Test MAPE: 0.104246, Test WAPE: 0.060324, Test MSE: 54.201488
2024-08-13 21:42:53,218 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.541482, Test RMSE: 7.481764, Test MAPE: 0.106322, Test WAPE: 0.061310, Test MSE: 55.976791
2024-08-13 21:42:53,390 - easytorch-training - INFO - Result <test>: [test_time: 25.42 (s), test_MAE: 3.119169, test_RMSE: 6.442830, test_MAPE: 0.089100, test_WAPE: 0.054000, test_MSE: 41.510059]
2024-08-13 21:42:53,413 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_28.pt saved
2024-08-13 21:42:53,413 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:24
2024-08-13 21:42:53,413 - easytorch-training - INFO - Epoch 29 / 30

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2024-08-13 21:43:29,411 - easytorch-training - INFO - Result <train>: [train_time: 36.00 (s), lr: 1.00e-05, train_MAE: 2.876215, train_RMSE: 5.862565, train_MAPE: 0.078708, train_WAPE: 0.049203, train_MSE: 34.677878]
2024-08-13 21:43:29,414 - easytorch-training - INFO - Start validation.

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2024-08-13 21:43:43,699 - easytorch-training - INFO - Result <val>: [val_time: 14.28 (s), val_MAE: 2.856911, val_RMSE: 5.421182, val_MAPE: 0.080870, val_WAPE: 0.051306, val_MSE: 37.341537]
2024-08-13 21:44:09,089 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.342682, Test RMSE: 4.150816, Test MAPE: 0.058019, Test WAPE: 0.040559, Test MSE: 17.229275
2024-08-13 21:44:09,098 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.626404, Test RMSE: 5.005316, Test MAPE: 0.068244, Test WAPE: 0.045471, Test MSE: 25.053188
2024-08-13 21:44:09,106 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.821744, Test RMSE: 5.539136, Test MAPE: 0.075972, Test WAPE: 0.048852, Test MSE: 30.682034
2024-08-13 21:44:09,115 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 2.972759, Test RMSE: 5.961917, Test MAPE: 0.082647, Test WAPE: 0.051466, Test MSE: 35.544453
2024-08-13 21:44:09,123 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.086075, Test RMSE: 6.314812, Test MAPE: 0.087713, Test WAPE: 0.053428, Test MSE: 39.876850
2024-08-13 21:44:09,132 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.173906, Test RMSE: 6.576865, Test MAPE: 0.091601, Test WAPE: 0.054948, Test MSE: 43.255157
2024-08-13 21:44:09,140 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.248893, Test RMSE: 6.775778, Test MAPE: 0.094808, Test WAPE: 0.056246, Test MSE: 45.911171
2024-08-13 21:44:09,148 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.319353, Test RMSE: 6.946042, Test MAPE: 0.097671, Test WAPE: 0.057466, Test MSE: 48.247501
2024-08-13 21:44:09,157 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.379933, Test RMSE: 7.104177, Test MAPE: 0.100091, Test WAPE: 0.058514, Test MSE: 50.469326
2024-08-13 21:44:09,165 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.433615, Test RMSE: 7.244362, Test MAPE: 0.102227, Test WAPE: 0.059443, Test MSE: 52.480785
2024-08-13 21:44:09,173 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.485222, Test RMSE: 7.368885, Test MAPE: 0.104157, Test WAPE: 0.060336, Test MSE: 54.300457
2024-08-13 21:44:09,182 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.542152, Test RMSE: 7.487055, Test MAPE: 0.106136, Test WAPE: 0.061321, Test MSE: 56.056000
2024-08-13 21:44:09,353 - easytorch-training - INFO - Result <test>: [test_time: 25.65 (s), test_MAE: 3.119390, test_RMSE: 6.449187, test_MAPE: 0.089107, test_WAPE: 0.054004, test_MSE: 41.592010]
2024-08-13 21:44:09,374 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_29.pt saved
2024-08-13 21:44:09,375 - easytorch-training - INFO - The estimated training finish time is 2024-08-13 21:45:25
2024-08-13 21:44:09,375 - easytorch-training - INFO - Epoch 30 / 30

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2024-08-13 21:44:46,026 - easytorch-training - INFO - Result <train>: [train_time: 36.65 (s), lr: 1.00e-05, train_MAE: 2.896637, train_RMSE: 5.892650, train_MAPE: 0.079407, train_WAPE: 0.049680, train_MSE: 35.154504]
2024-08-13 21:44:46,029 - easytorch-training - INFO - Start validation.

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2024-08-13 21:44:59,378 - easytorch-training - INFO - Result <val>: [val_time: 13.35 (s), val_MAE: 2.856710, val_RMSE: 5.419483, val_MAPE: 0.081018, val_WAPE: 0.051305, val_MSE: 37.309428]
2024-08-13 21:45:24,779 - easytorch-training - INFO - Evaluate best model on test data for horizon 1, Test MAE: 2.342168, Test RMSE: 4.151959, Test MAPE: 0.058087, Test WAPE: 0.040550, Test MSE: 17.238764
2024-08-13 21:45:24,788 - easytorch-training - INFO - Evaluate best model on test data for horizon 2, Test MAE: 2.625825, Test RMSE: 5.001338, Test MAPE: 0.068251, Test WAPE: 0.045461, Test MSE: 25.013386
2024-08-13 21:45:24,797 - easytorch-training - INFO - Evaluate best model on test data for horizon 3, Test MAE: 2.821561, Test RMSE: 5.536679, Test MAPE: 0.076079, Test WAPE: 0.048849, Test MSE: 30.654818
2024-08-13 21:45:24,805 - easytorch-training - INFO - Evaluate best model on test data for horizon 4, Test MAE: 2.973076, Test RMSE: 5.958855, Test MAPE: 0.082812, Test WAPE: 0.051472, Test MSE: 35.507950
2024-08-13 21:45:24,814 - easytorch-training - INFO - Evaluate best model on test data for horizon 5, Test MAE: 3.086604, Test RMSE: 6.313228, Test MAPE: 0.087887, Test WAPE: 0.053437, Test MSE: 39.856842
2024-08-13 21:45:24,822 - easytorch-training - INFO - Evaluate best model on test data for horizon 6, Test MAE: 3.174568, Test RMSE: 6.577530, Test MAPE: 0.091821, Test WAPE: 0.054960, Test MSE: 43.263901
2024-08-13 21:45:24,831 - easytorch-training - INFO - Evaluate best model on test data for horizon 7, Test MAE: 3.249370, Test RMSE: 6.774646, Test MAPE: 0.094990, Test WAPE: 0.056254, Test MSE: 45.895824
2024-08-13 21:45:24,839 - easytorch-training - INFO - Evaluate best model on test data for horizon 8, Test MAE: 3.320032, Test RMSE: 6.946543, Test MAPE: 0.097937, Test WAPE: 0.057477, Test MSE: 48.254463
2024-08-13 21:45:24,848 - easytorch-training - INFO - Evaluate best model on test data for horizon 9, Test MAE: 3.380654, Test RMSE: 7.105108, Test MAPE: 0.100381, Test WAPE: 0.058527, Test MSE: 50.482559
2024-08-13 21:45:24,856 - easytorch-training - INFO - Evaluate best model on test data for horizon 10, Test MAE: 3.434050, Test RMSE: 7.241256, Test MAPE: 0.102476, Test WAPE: 0.059451, Test MSE: 52.435791
2024-08-13 21:45:24,864 - easytorch-training - INFO - Evaluate best model on test data for horizon 11, Test MAE: 3.484878, Test RMSE: 7.364443, Test MAPE: 0.104404, Test WAPE: 0.060330, Test MSE: 54.235020
2024-08-13 21:45:24,873 - easytorch-training - INFO - Evaluate best model on test data for horizon 12, Test MAE: 3.541152, Test RMSE: 7.482051, Test MAPE: 0.106387, Test WAPE: 0.061304, Test MSE: 55.981094
2024-08-13 21:45:25,045 - easytorch-training - INFO - Result <test>: [test_time: 25.66 (s), test_MAE: 3.119490, test_RMSE: 6.447341, test_MAPE: 0.089292, test_WAPE: 0.054006, test_MSE: 41.568203]
2024-08-13 21:45:25,065 - easytorch-training - INFO - Checkpoint checkpoints/STformer_30/a7b882a1cb03c66c55b96b06d3435522/STformer_30.pt saved
2024-08-13 21:45:25,077 - easytorch-training - INFO - The training finished at 2024-08-13 21:45:25