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# Model Card: Fine-tuned Phi3-mini for Mental Health FAQs |
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## Model Details |
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- **Model Name**: Phi3-mini-MentalHealth |
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- **Base Model**: Phi3-mini |
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- **Model Type**: Language Model |
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- **Framework**: MLX |
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- **Fine-tuning Dataset**: Mental Health FAQ data from Kaggle |
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- **Format**: GGUF (GPT Quantized) |
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## Intended Use |
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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: |
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- Mental health chatbots |
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- Educational resources about mental health |
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- Preliminary mental health screening tools (with appropriate disclaimers) |
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## Training Data |
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The model was fine-tuned on a dataset of Mental Health FAQs from Kaggle. This dataset likely includes: |
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- Common questions about mental health conditions |
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- Basic information about symptoms and treatments |
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- General mental health and wellness advice |
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Note: The exact contents and size of the dataset should be verified and added here. |
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## Fine-tuning Process |
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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. |
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## Performance and Limitations |
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- **Improved Empathy**: The fine-tuned model demonstrates increased empathy in its responses compared to the base model. |
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- **Domain Specificity**: The model's knowledge is focused on mental health topics covered in the FAQ dataset. |
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- **Limitations**: |
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- The model's knowledge is limited to the scope of the training data. |
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- It should not be used as a substitute for professional mental health advice or diagnosis. |
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- The model may not be up-to-date with the latest mental health research or treatments. |
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## Ethical Considerations |
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- **Privacy**: The model should be used in ways that protect user privacy, especially given the sensitive nature of mental health discussions. |
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- **Bias**: While efforts have been made to improve empathy, the model may still exhibit biases present in the training data. |
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- **Misuse Potential**: Care should be taken to prevent the model from being used to provide medical advice it's not qualified to give. |
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## Additional Information |
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- **License**: Apache 2.0 |
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- **Developer**: Dattaraj Rao - Persistent |
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- **Date Created**: 16-Jul-2024 |
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- **Version**: 1.0 |
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For more information or to report issues, please contact: https://www.linkedin.com/in/dattarajrao/ |
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