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@@ -28,6 +28,7 @@ The tagged questions in the QueryBridge dataset are designed to train language m
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  | `<ref>`| **References**: Tags in questions that refer back to previously mentioned entities or concepts. These can indicate cycles or self-references in queries. Example: In "Who is the CEO of the company founded by himself?", the word 'himself' is tagged as `<ref>himself</ref>`. |
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  # How to use the model?
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  To use the model, you can run it with TorchTune commands. I have provided the necessary Python code to automate the process. Follow these steps to get started:
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  </details>
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  # How We Fine-Tuned the Model
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  We fine-tuned the `Meta-Llama-3-8B` model by two key steps: preparing the dataset and executing the fine-tuning process.
 
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  | `<ref>`| **References**: Tags in questions that refer back to previously mentioned entities or concepts. These can indicate cycles or self-references in queries. Example: In "Who is the CEO of the company founded by himself?", the word 'himself' is tagged as `<ref>himself</ref>`. |
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  # How to use the model?
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  To use the model, you can run it with TorchTune commands. I have provided the necessary Python code to automate the process. Follow these steps to get started:
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  </details>
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  # How We Fine-Tuned the Model
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  We fine-tuned the `Meta-Llama-3-8B` model by two key steps: preparing the dataset and executing the fine-tuning process.