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# 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/
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