Keras Not Flexible Enough? Orbit Your Way to Better BERT Training

This tutorial shows how to fine-tune a BERT classifier using TensorFlow’s Orbit library instead of plain model.fit: install tf-models-official, set up tf.distribute (GPU/TPU/CPU), build the BERT encoder and classifier, initialize from a pretrained checkpoint, create distributed TFRecord datasets (MRPC), define a cross-entropy loss, then implement StandardTrainer/StandardEvaluator classes and drive the run with orbit.Controller for chunked training, periodic eval, summaries, and checkpointing—resulting in a reusable, flexible training loop that scales cleanly across devices.