# Meta information about training

The trained models that are saved here follow the following naming convention:

* Optuna intermediate model: `[model]-[dataset]-[context].pt`
* Fully trained model: `[model]-[dataset]-full-[context].pt`

The following parameters were used:

* training size: 2048 for optuna, 209715 for full training
* context sizes: {128, 256}

The models were trained with the following command:

```bash
uv run python ./results/[cnn,autoencoder] train --method [full,optuna] \
    --data-root ./data --dataset [genome,enwik9] --context [128,256] --size [2048,209715] \
    --model-save-path ./models/<name> --model-load-path <path if full trainig, output from optuna>
```