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@@ -34,6 +34,8 @@ This model is a **fine-tuned LLaMA-based** (or derivative) model designed to (1)
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  ## Training Approach
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  1. **Data Preprocessing**: We unified suicidal posts as `"suicidal"` and non-suicidal posts as `"non-suicidal"`.
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  2. **Multi-Task Instruction**: We used short prompts for classification tasks, and Q&A style prompts for therapy.
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  3. **Oversampling**: To ensure the model doesn’t just classify everything as “suicidal,” we oversampled the therapy data.
 
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  ## Training Approach
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+ To see a detailed Notebook of our training approach: https://colab.research.google.com/drive/1vbio7VWmkpQoTnDUg32TABxxf4VcBBeY?usp=sharing
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  1. **Data Preprocessing**: We unified suicidal posts as `"suicidal"` and non-suicidal posts as `"non-suicidal"`.
40
  2. **Multi-Task Instruction**: We used short prompts for classification tasks, and Q&A style prompts for therapy.
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  3. **Oversampling**: To ensure the model doesn’t just classify everything as “suicidal,” we oversampled the therapy data.