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The code in this tutorial is available on GitHub in the text-lab repo. Clone the repo and follow along! Introduction Training deep learning models at scale is an incredibly interesting and complex task. Reproducibility for projects is key, and reproducible code bases are exactly what we get when we leverage PyTorch Lightning for training and finetuning. An added benefit of using PyTorch Lightning is that the framework is domain agnostic and is complementary to PyTorch. Meaning – it does not replace PyTorch and we are enabled to train text, vision, audio, and multimodal models using the same framework – PyTorch Lightning. The Research Our research objective for this tutorial is to train a small language model using a Transformer on the WikiText2 dataset. 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