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This repository was archived by the owner on Mar 1, 2026. It is now read-only.
We want to SFT a llama3 model with a dataset, with following format,
[
{
"question": "the content of question 1 ...",
"answer": "the content of answer 1 ...",
"label": either "good" or "bad", to evaluate the answer.
},
...
]
Out of curiosity, what will happen inside Llama3 during training, if we convert the dateset into the following format?
<|begin_of_text|>
<|start_header_id|>question<|end_header_id|>
Here is my first question ...
<|start_header_id|>answer<|end_header_id|>
Here is the LLM's answer to the first question ...
<|start_header_id|>system<|end_header_id|>
good
<|eot_id|>
...
<|end_of_text|>
As SFT, for each message, will Llama3 take the question as prompt, and start Llama3's prediction from answer? If so, what will happen to eval that is either "good" or "bad"?