Milestone 1 – Preparing the environment and data for fine-tuning

Training a cutting-edge speech recognition model such as Whisper poses intense computational demands - specialized hardware configurations are vital for viable fine-tuning. This section demands reasonable programming familiarity – we’ll get our hands dirty with low-level APIs. But fret not if tweaking parameters is not your forte! We will structure explanations and unpack concepts without plunging straight into the depths. You need not actively code along – instead, the insights revealed here seek to empower you to apply these processes for your unique Whisper fine-tuning needs.

If you do crave getting hands-on, this book’s GitHub repository at https://github.com/PacktPublishing/Learn-OpenAI-Whisper/tree/main/Chapter04 contains a complementary notebook with annotated code blocks aligned to chapter content. Open the notebook and traverse alongside chapters to experiment with parameter...