Fine-tuning training data with multiple ideal responses

API
1

Is it possible to use training data with multiple ideal responses?

Example: I want to train the model to use the prefix of the text to predict the sentence. So when I type “t”, “w”, “i”, “n”, “t” the ideal responses could be “The weather is nice today” but also “That’s why I need teamwork”.

My fine-tuning training data jsonl file looks like:

{"messages": [{"role": "system", "content": "Predict the sentence, given is prefix of the text."}, {"role": "user", "content": "twint"}, {"role": "assistant", "content": "The weather is nice today"}]}
{"messages": [{"role": "system", "content": "Predict the sentence, given is prefix of the text."}, {"role": "user", "content": "twint"}, {"role": "assistant", "content": "That’s why I need teamwork"}]}

Is it correct? Is there a better way or are more than one ideal responses not possible?

2

It is possible to include different assistant responses for the same system message and user message in the fine-tuning data.

Please observe carefully how the responses change as a result.