ibm-research / testing-patchtst_etth1_regression

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Total runs: 15
24-hour runs: 0
7-day runs: 2
30-day runs: -12
Model's Last Updated: Novembre 27 2023

Introduction of testing-patchtst_etth1_regression

Model Details of testing-patchtst_etth1_regression

patchtst_etth1_regression

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.7280
Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss
0.1517 1.0 1017 0.3056
0.1163 2.0 2034 0.2771
0.0919 3.0 3051 0.2450
0.0764 4.0 4068 0.2216
0.0653 5.0 5085 0.2528
0.0577 6.0 6102 0.2189
0.0498 7.0 7119 0.2526
0.0456 8.0 8136 0.2565
0.0408 9.0 9153 0.2603
0.0369 10.0 10170 0.2523
Framework versions
  • Transformers 4.36.0.dev0
  • Pytorch 2.0.1
  • Datasets 2.14.4
  • Tokenizers 0.15.0

Runs of ibm-research testing-patchtst_etth1_regression on huggingface.co

15
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
-12
30-day runs

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