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[README] updating weights / training model #143

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Jan 8, 2025
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[README] updating weights / training model #143

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2 changes: 1 addition & 1 deletion 1_instruction_tuning/supervised_fine_tuning.md
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Expand Up @@ -16,7 +16,7 @@ For example, if you're developing a customer service application, you might want

## The Fine-Tuning Process

The supervised fine-tuning process involves training model weights on a task-specific dataset.
The supervised fine-tuning process involves adjusting a model's weights on a task-specific dataset.

First, you'll need to prepare or select a dataset that represents your target task. This dataset should include diverse examples that cover the range of scenarios your model will encounter. The quality of this data is important - each example should demonstrate the kind of output you want your model to produce. Next comes the actual fine-tuning phase, where you'll use frameworks like Hugging Face's `transformers` and `trl` to train the model on your dataset.

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