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namctin/patchtst-etth1-forecast
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---
tags:
- generated_from_trainer
model-index:
- name: patchtst_etth1_forecast
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# patchtst_etth1_forecast
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3881
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4306 | 1.0 | 1005 | 0.7268 |
| 0.3641 | 2.0 | 2010 | 0.7456 |
| 0.348 | 3.0 | 3015 | 0.7161 |
| 0.3379 | 4.0 | 4020 | 0.7428 |
| 0.3284 | 5.0 | 5025 | 0.7681 |
| 0.321 | 6.0 | 6030 | 0.7842 |
| 0.314 | 7.0 | 7035 | 0.7991 |
| 0.3088 | 8.0 | 8040 | 0.8021 |
| 0.3053 | 9.0 | 9045 | 0.8199 |
| 0.3019 | 10.0 | 10050 | 0.8173 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.14.1