Training CodeParrot 🦜 from Scratch

The article discusses the training of CodeParrot, a code generation model, from scratch using a dataset of 249GB of source code from GitHub. CodeParrot employs a transformer architecture with 1.5 billion parameters, trained using the Adam optimizer and a learning rate schedule tailored for large-scale models. This release provides insights into the training process and performance benchmarks, which are critical for developers seeking to fine-tune or adapt code generation models for specific programming tasks.