---
tags:
- generated_from_trainer
model-index:
- name: PatchTSMixer_Stock_Data
  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. -->

# 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