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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