huggingface / huggingface/transfer-learning-conv-ai

How should the value of --num_candidates and --personality_permutations be determined?

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Python
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Description

I don't understand what you mean by command line parameter `--num_candidates` and `--personality_permutations`.(even though read help)

Should these be changed depending on the content of the training data?

For example, if training data is like this:
```
{
"personality": ["persona description"],
"utterances": [
{"candidates": [
10 data
],
"history": [
"history",
]
}
]
}
```
Should `--num_candidates` be set to 10??

And I don't fully understand about `--personality_permutations`.

I would appreciate it if you could let me know!!

Contributor guide

No contributing guide indexed for this repository

Research direction

Start by locating the CLI entry points that define --num_candidates and --personality_permutations, then compare their help text with the example training format in the issue. Done means documenting what each parameter controls and whether --num_candidates should match the candidate count.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
cli, machine-learning
Issue type
Documentation
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
30/100

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