Fine-tune Whisper Model

Welcome to our guide for fine-tuning Whisper! Here you'll find comprehensive walkthroughs that'll assist you with launching, tracking, and understanding the billing process related to finetuning Whisper on MonsterAPI Platform.

Demo Colab Notebooks with Python Client

Below, you'll find a list of topics with essential information about each step of the process.

1. Launch a Finetuning job:

This guide will walk you through step-by-step on how to initiate a fine-tuning job for Whisper.

From opening the fine-tuning portal and creating a new job, to choosing a model and dataset selection, and finally submitting your job. The guide covers all steps in detail, ensuring you have all the tools and information necessary to successfully launch a fine-tuning job.

Curated List of Models we support for Finetuning -

2. Dataset Selection:

   Select a dataset of your choice from Hugging Face. For audio datasets, make sure there is a column containing audio files and a corresponding text column. If the dataset is private or gated, please provide your Hugging Face "Read Key" for access. Additionally, if you intend to upload fine-tuning contents later, include your Hugging Face "Write Key."

3. Track stages of your finetuning jobs:

   Once your fine-tuning job is launched, it's essential to monitor its progress. This page helps you understand the different stages a job goes through, from launching to completion. You'll also learn how to view job logs, monitor your job metrics using Weights & Biases (if credentials provided), and download your fine-tuned model once the job is completed.

4. Billing:

   Understanding the cost associated with fine-tuning jobs is crucial. This page provides detailed information on our billing process, including how jobs are billed, the cost per minute, and what happens if your account runs out of credits. Furthermore, it provides guidance on how to maintain an active payment method and subscription plan to avoid job termination.

Visit each page to get detailed information on each process. If you have any questions or need further assistance, feel free to reach out to our support team.

For any queries, don't hesitate to reach out at MonsterAPI Support.