# Meta information about training
* training size: 2048 for optuna, 209715 for full training
* context sizes used: 128, 256

```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>
```