# Training notebook runbook
## Usage
Here are instructions for training a model using the Colab notebook script.
### Repo clone config
At the **Clone repo** section, put in GitHub user and access token in indicated locations.
### Modify hyperparameters for training
In the first few lines after **Train transformer**, there are hyperparameters that can be changed for training, including epochs and batch size.
### Authorize google account
When the first cell is run, follow the prompt for authorization.
## Features
The Colab script does the following:
- Copy dataset from gcp bucket to Colab environment
- Clone repo
- Train model
- Save checkpoints on gcp bucket while training
- Evaluate every checkpoint after training
- Update desired google sheet with evaluation results