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PatchTSMixer_Stock_Data

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

  • Loss: 3020.0154
  • Mse: 905.7340
  • Mae: 24.4882
  • Mape: 0.0316
  • Msle: 0.0014

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: 0.0001
  • train_batch_size: 32
  • eval_batch_size: 32
  • 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 Mse Mae Mape Msle
21551.8505 1.0 51 4541.3184 464.5912 18.1478 0.0230 0.0008
17948.9632 2.0 102 3327.9248 938.6965 24.4246 0.0315 0.0015
15434.5392 3.0 153 3385.0327 682.4795 20.8618 0.0269 0.0011
13608.924 4.0 204 3158.7266 917.1122 23.9337 0.0309 0.0015
11935.185 5.0 255 3245.8347 712.8546 21.4648 0.0277 0.0011
11173.7426 6.0 306 2985.5256 1128.7438 27.5807 0.0355 0.0018
11160.5184 7.0 357 2942.4849 1075.2869 27.0185 0.0348 0.0017
10815.6434 8.0 408 2908.7529 1069.9177 27.0118 0.0348 0.0017
10287.6066 9.0 459 2995.2012 947.1976 24.9832 0.0322 0.0015
10123.2739 10.0 510 3020.0154 905.7340 24.4882 0.0316 0.0014

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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