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
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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