Finetuning of Falcon-7B LLM Using QLoRA on Mental Health Conversational Dataset

The author emphasizes the lack of understanding and negative stereotypes surrounding mental health issues, stressing the importance of education, awareness, empathy, and quality mental health care. They highlight the role of chatbots in providing accessible support and complementing existing mental health services. The dataset used for the mental health conversational AI was curated from various sources, and the model finetuning process involved using a sharded pre-trained model and the QLoRA technique. The author provides a link to the dataset and presents training loss metrics from the finetuning process. The updated model for inference is provided, along with instructions for running a demo. The author concludes by mentioning a detailed technical blog and invites queries and comments from readers.

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