Trainite: A Reusable Toolbox for Training Language Models

Every time a researcher wants to train a language model, they end up rewriting the same infrastructure: data loading, optimizer setup, training loops, logging, and checkpointing. PyTorch-Ignite solves the engine abstraction, but researchers still have to manually wire everything together for each new experiment. Trainite is a pip-installable Python toolbox built on top of PyTorch-Ignite that handles this. A single trainite init command gives researchers a complete, runnable training project. They bring their model and dataset, and Trainite handles the rest. Deliverables include an installable package, a CLI scaffolding tool, a working end-to-end training pipeline with a built-in Transformer example, YAML-based configuration, organized timestamped outputs, full documentation, and tests.