phi3-finetuned-mentalhealth

Model Card: Fine-tuned Phi3-mini for Mental Health FAQs

Model Details

• Model Name: Phi3-mini-MentalHealth
• Base Model: Phi3-mini
• Model Type: Language Model
• Framework: MLX
• Fine-tuning Dataset: Mental Health FAQ data from Kaggle
• Format: GGUF (GPT Quantized)

Intended Use

This model is designed to provide empathetic and informative responses to frequently asked questions about mental health. It can be used in applications such as:

• Mental health chatbots
• Educational resources about mental health
• Preliminary mental health screening tools (with appropriate disclaimers)

Training Data

The model was fine-tuned on a dataset of Mental Health FAQs from Kaggle. This dataset likely includes:

• Common questions about mental health conditions
• Basic information about symptoms and treatments
• General mental health and wellness advice

Note: The exact contents and size of the dataset should be verified and added here.

Fine-tuning Process

The Phi3-mini model was fine-tuned using the MLX framework. Specific details about the fine-tuning process, such as number of epochs, learning rate, and other hyperparameters, should be added here.

Performance and Limitations

• Improved Empathy: The fine-tuned model demonstrates increased empathy in its responses compared to the base model.
• Domain Specificity: The model's knowledge is focused on mental health topics covered in the FAQ dataset.
• Limitations:
  • The model's knowledge is limited to the scope of the training data.
  • It should not be used as a substitute for professional mental health advice or diagnosis.
  • The model may not be up-to-date with the latest mental health research or treatments.

Ethical Considerations

• Privacy: The model should be used in ways that protect user privacy, especially given the sensitive nature of mental health discussions.
• Bias: While efforts have been made to improve empathy, the model may still exhibit biases present in the training data.
• Misuse Potential: Care should be taken to prevent the model from being used to provide medical advice it's not qualified to give.

Additional Information

• License: Apache 2.0
• Developer: Dattaraj Rao - Persistent
• Date Created: 16-Jul-2024
• Version: 1.0

For more information or to report issues, please contact: https://www.linkedin.com/in/dattarajrao/