It's pretty much the same as Andrej Karpathy's GPT Tutorial but using TensorFlow instead of PyTorch. Setup and training:

conda env create -f conda.yml

conda activate tf-mingpt

python main.py --help

There are two commands:

1. python main.py train --config-file shakespeare.yml - Train a model
2. python main.py generate --config-file shakespeare.yml - Generate sequences from the trained model

Filepath to config files will need to be explicityly provided as the default is superhero.yml which creates a really small model. The shakespeare.yml config has the same parameter values as used in the tutorial above.

I'd suggest training with superhero.yml config if you have only a CPU.

If you want to train with the shakespeare.yml config, and don't have a GPU locally, I'd suggest setting up SkyPilot and launching the provided SkyPilot task. E.g. sky launch mingpt.yml

• Update model to achieve a loss of ~1.4 on validation (currently ~1.7)
• What is a test anyway? :/