Comprehensive Cookbook for Fine-tuning Gemma Model on Mental Health Assistant Dataset

The cookbook aims to provide a comprehensive guide for researchers and practitioners interested in fine-tuning the Gemma model from Google on a mental health assistant dataset.

Key components of the cookbook include an introduction to the Gemma model, a description of the dataset, preprocessing steps, fine-tuning Gemma using the Hugging Face Transformers library, training procedures, and usage examples. The cookbook will also provide guidance on training parameters, etc. This will help expand the available cookbook resources for leveraging Hugging Face models in various domains.

Usage Examples: Illustrative examples demonstrate how to use the fine-tuned Gemma model for various mental health support tasks, such as response generation.

Start by reviewing the repository's existing cookbook resources and the Hugging Face Transformers workflow for fine-tuning Gemma. The completed cookbook should cover the model, mental health assistant dataset, preprocessing, training parameters and procedures, and usage examples for response generation.

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